{ "count" : 50604, "data" : [ { "id" : "69fe94fc4c40e2acd112178c", "title" : "Optimization Solutions Architect", "company" : "Amazon Web Services, Inc.", "industry" : "Solutions Architect, Solution Architect, Cloud Computing", "salary" : { "min" : 131300.0, "max" : 177600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "certifications" : [ "AWS Solutions Architect", "Cloud certification" ], "timestamp" : "2026-06-15T02:12:29.478", "fingerprint" : "c80951c3adb27de33f8569ff25ec18e5cc19861b0d8038e9c549bebf6ecf58ce", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10415405/apply", "externalId" : "8649b41d-6a10-4bcf-9647-f00b3438b2be", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS, Cloud computing, Software development, Systems engineering, Infrastructure, Security, Networking, Data analytics", "professionalSkills" : [ "FinOps", "Cloud Financial Management", "Cost optimization", "Cost savings", "Cost visibility", "Cloud best practices", "Optimization of AWS", "Business agreements", "Financial processes", "Cloud financial strategies", "Cost management mechanisms", "Cost-efficient cloud architecture" ], "hardSkillsList" : [ "Cost reporting", "Cost optimization reviews", "Cloud operations guidance", "Key performance indicators" ], "softSkillsList" : [ "Mentorship" ], "hardSkills" : [ { "name" : "Cost reporting", "level" : "intermediate" }, { "name" : "Cost optimization reviews", "level" : "intermediate" }, { "name" : "Cloud operations guidance", "level" : "intermediate" }, { "name" : "Key performance indicators", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" } ], "majorSkills" : "Cost optimization, Cloud financial management, AWS", "majorSkillsList" : [ "Cost optimization", "Cloud financial management", "AWS" ], "coreResponsibilities" : "Dive deep into customer's cloud footprint, Find unique opportunities to save money, Build relationships and mechanisms to drive change, Engage with technology leaders up to CXO level, Drive strategic financial outcomes, Simplify cost reporting and visibility, Provide insights into cost-efficient cloud operations, Provide guidance on key performance indicators, Create cost optimization reviews, Present cost optimization reviews, Implement cost optimization guidance, Develop strategies to bring business, finance and technology, Drive optimization and efficiency across customer’s cloud footprints, Formulate strategy to share learnings with AWS, Implement strategy to share learnings with AWS, Evangelize cost management with customers, Evangelize cost management with partners, Evangelize cost management at networking opportunities, Act as subject matter expert on building cost, Act as subject matter expert on cloud financial, Act as subject matter expert on cost management, Act as subject matter expert on cost-efficient cloud", "teamCollaboration" : "Work with partners; Work with C-suite decision makers; Share best practices; Knowledge sharing; Mentorship", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Cloud Financial Management; FinOps; Cost optimization; Cloud architecture", "domainList" : [ "cloud-financial-management", "finops", "cost-optimization", "cloud-architecture" ], "domainSpecificKnowledge" : [ "Cloud Financial Management", "FinOps", "Cost optimization", "Cloud architecture" ], "communicationSkills" : "Communicate complex topics; Tell a story with data; Presenting at conferences; Executive presentations", "continuousLearning" : "Learning experiences; Mentorship", "innovationCreativity" : "Automation", "problemSolvingSkills" : "Simple, scalable solutions; Difficult problems", "outcomesObjectives" : "Ongoing success at scale; Solutions to scale across all AWS customers", "qualificationsBasic" : "3+ years design, implementation, or consulting in applications and infrastructures, 2+ years specific technology domain areas experience, 3+ years developing, negotiating and executing business agreements, 3+ years working with, presenting to, and negotiating with C-level executives, IT, lines of business, procurement, finance, and legal and internal stakeholders", "qualificationsPreferred" : "AWS certification, 2+ years working with customers on substantial, strategic, and complex software or cloud services/infrastructure deals, Bachelor's degree in Computer Science, Engineering, or related field of study or 12+ years of related work experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The AWS Industries OPTICS (Optimization Intelligence for Cloud Systems) team has a direct impact on AWS’s largest customers’ FinOps and Cloud Financial Management strategies. The OPTICS team works to proactively optimize our customer’s deployments, identify cost savings, educate stakeholders on cloud best practices & FinOps, and create cost and usage transparency. The OPTICS team is looking for an Optimization Solutions Architect to be hands-on and passionate about working directly with the world’s largest and most complex multinational organizations as they transform their solutions & process to be optimized for the cloud. This person will be the subject matter expert on cost optimization and efficiency, leading and supporting customer conversations around cost savings, cost visibility and education on optimization of AWS. This will include generating bespoke recommendations on how customers can optimize their usage of AWS, re-engineering their internal financial processes, and working with partners to ensure ongoing success at scale. It is crucial for this person to be able to drive towards simple, scalable solutions to difficult problems, have excellent project-management skills, be able to communicate complex topics to a variety of audiences, visualize and tell a story with data, and is comfortable while interfacing with the C-suite decision makers. Working with the world's largest organizations, Optimization Solution Architects are not just expected to help their customers build more cost efficient solutions but that their solutions to scale it across all AWS customers. This could cover building solutions for example automation so these inefficiencies don't reoccur, or sharing best practices by writing blogs and presenting at conferences. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. Key job responsibilities Dive deep into our customer's cloud footprint to find the unique opportunities for them to save money. Building relationships and mechanisms to drive and motivate change related to cloud optimization and efficiency best practices. Engage with technology leaders up to the CXO level, in order to drive strategic financial outcomes. Simplify cost reporting and visibility, provide insights into cost-efficient cloud operations and guidance on key performance indicators. Creation, presentation, and implementation guidance on cost optimization reviews. Developing strategies to bring business, finance and technology together to drive optimization and efficiency across customer’s cloud footprints. Formulating and implementing a strategy on how the team can share their learnings with AWS. Evangelize cost management with customers, partners, and at various networking opportunities. Act as the subject matter expert around building cost aware cultures, cloud financial strategies, cost management mechanisms, and cost-efficient cloud architecture best practices. A day in the life About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of design, implementation, or consulting in applications and infrastructures experience - 2+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years developing, negotiating and executing business agreements and working with, presenting to, and negotiating with C-level executives, IT, lines of business, procurement, finance, and legal and internal stakeholders. Preferred Qualifications: - AWS certification, such as, AWS Solutions Architect, or a similar cloud certification - Experience working with Cloud related technology, and optimized or designed Cloud related technology for an enterprise customer - Experience with AWS products and services - 2+ years working with customers on substantial, strategic, and complex software or cloud services/infrastructure deals - Bachelor's degree in Computer Science, Engineering, or related field of study or 12+ years of related work experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, IL, Chicago - 131,300.00 - 177,600.00 USD annually USA, NY, New York - 144,500.00 - 195,400.00 USD annually USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually USA, WA, Seattle - 131,300.00 - 177,600.00 USD annually", "summaryDescription" : "Optimization Solutions Architect at Amazon Web Services, Inc.. Skills: Cost optimization, Cloud financial management, AWS. Dive deep into customer's cloud footprint. Find unique opportunities to save money", "postedDate" : "2026-06-13T10:11:40.202", "createdAt" : "2026-06-13T10:11:40.202", "lastUpdated" : "2026-06-15T02:12:29.478", "ingestTimestamp" : "2026-06-13T10:11:40.202", "mongoId" : "69fe94fc4c40e2acd112178c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10415405/apply", "salaryAnnualMin" : 131300, "salaryAnnualMax" : 177600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Cost reporting", "Cost optimization reviews", "Cloud operations guidance", "Key performance indicators", "Mentorship", "Cost optimization", "Cloud financial management", "AWS", "FinOps", "Cloud Financial Management", "Cost savings", "Cost visibility", "Cloud best practices", "Optimization of AWS", "Business agreements", "Financial processes", "Cloud financial strategies", "Cost management mechanisms", "Cost-efficient cloud architecture", "Project management", "Cloud architecture", "AWS 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"city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "AWS, Azure, Kubernetes, EKS, AKS, Karpenter, Cluster Autoscaler, Terraform, GitHub Actions, Argo CD, Go, Python, TypeScript, OpenTelemetry, Prometheus, Grafana, SSO, SCIM, RBAC", "professionalSkills" : [ "Architectural decisions", "Technical direction", "Infrastructure automation", "Policy automation", "Deployment automation", "Security integration", "Identity management", "Observability definition", "Incident detection", "Incident response", "Infrastructure workflows", "Operational tooling", "Platform roadmap", "Reference architectures", "Capacity planning", "Utilization metrics", "Right-sizing recommendations" ], "hardSkillsList" : [ "VPC topology", "VNet topology", "Routing", "Private networking", "Secure ingress", "Secure egress", "Cluster lifecycle management", "Autoscaling", "Upgrade strategies", "Rollout strategies", "Module testing", "Module linting", "Dependency management", "Policy enforcement", "Compliance enforcement", "Security guardrails", "Image signing", "SBOMs", "SAST", "SCA", "Container scanning", "Least-privilege RBAC", "Secrets lifecycle management", "SLOs", "SLIs", "Automation scripting", "Compliance checks", "Operational tooling development", "ADRs publishing", "Client requirements translation", "Infrastructure alignment", "Cost optimization" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "VPC topology", "level" : "intermediate" }, { "name" : "VNet topology", "level" : "intermediate" }, { "name" : "Routing", "level" : "intermediate" }, { "name" : "Private networking", "level" : "intermediate" }, { "name" : "Secure ingress", "level" : "intermediate" }, { "name" : "Secure egress", "level" : "intermediate" }, { "name" : "Cluster lifecycle management", "level" : "intermediate" }, { "name" : "Autoscaling", "level" : "intermediate" }, { "name" : "Upgrade strategies", "level" : "intermediate" }, { "name" : "Rollout strategies", "level" : "intermediate" }, { "name" : "Module testing", "level" : "intermediate" }, { "name" : "Module linting", "level" : "intermediate" }, { "name" : "Dependency management", "level" : "intermediate" }, { "name" : "Policy enforcement", "level" : "intermediate" }, { "name" : "Compliance enforcement", "level" : "intermediate" }, { "name" : "Security guardrails", "level" : "intermediate" }, { "name" : "Image signing", "level" : "intermediate" }, { "name" : "SBOMs", "level" : "intermediate" }, { "name" : "SAST", "level" : "intermediate" }, { "name" : "SCA", "level" : "intermediate" }, { "name" : "Container scanning", "level" : "intermediate" }, { "name" : "Least-privilege RBAC", "level" : "intermediate" }, { "name" : "Secrets lifecycle management", "level" : "intermediate" }, { "name" : "SLOs", "level" : "intermediate" }, { "name" : "SLIs", "level" : "intermediate" }, { "name" : "Automation scripting", "level" : "intermediate" }, { "name" : "Compliance checks", "level" : "intermediate" }, { "name" : "Operational tooling development", "level" : "intermediate" }, { "name" : "ADRs publishing", "level" : "intermediate" }, { "name" : "Client requirements translation", "level" : "intermediate" }, { "name" : "Infrastructure alignment", "level" : "intermediate" }, { "name" : "Cost optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Platform Architecture, Infrastructure as Code, Kubernetes Management, Cloud Infrastructure", "majorSkillsList" : [ "Platform Architecture", "Infrastructure as Code", "Kubernetes Management", "Cloud Infrastructure" ], "coreResponsibilities" : "Design scalable infrastructure on AWS/Azure, Manage scalable infrastructure on AWS/Azure, Design VPC/VNet topology, Manage VPC/VNet topology, Design routing, Manage routing, Design private networking, Manage private networking, Design secure ingress, Manage secure ingress, Design secure egress, Manage secure egress, Lead build of EKS/AKS clusters, Lead evolution of EKS/AKS clusters, Manage EKS/AKS cluster lifecycle, Implement autoscaling, Implement upgrades, Implement rollout strategies, Architect reusable Terraform modules, Oversee reusable Terraform modules, Implement policy-as-code, Enforce compliance, Enforce security guardrails, Design GitHub Actions pipelines, Build GitHub Actions pipelines, Design Argo CD pipelines, Build Argo CD pipelines, Integrate security stages, Integrate policy stages, Integrate testing stages, Interface with security teams, Implement image signing, Implement SBOMs, Implement SAST, Implement SCA, Implement container scanning, Manage identity and access, Manage SSO/SCIM, Manage least-privilege RBAC, Manage secrets lifecycle, Improve observability, Improve alerting, Define SLOs, Define SLIs, Automate incident detection, Automate incident response, Design automation in Go, Python, or TypeScript, Extend automation in Go, Python, or TypeScript, Influence platform roadmap, Publish ADRs, Publish reference architectures, Mentor platform engineers, Guide platform engineers, Collaborate with sales teams, Collaborate with delivery teams, Translate client requirements, Align infrastructure with timelines, Implement FinOps practices, Perform capacity planning, Track utilization metrics, Provide right-sizing recommendations", "teamCollaboration" : "Platform engineers; Sales teams; Delivery teams; Security teams; Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Cloud-native architecture; Multi-account infrastructure; Kubernetes; GitOps; Observability; Incident response; Operational resilience; FinOps; Regulated environments; Enterprise environments", "domainList" : [ "cloud-native-architecture", "multi-account-infrastructure", "kubernetes", "gitops", "observability", "incident-response", "operational-resilience", "finops", "regulated-environments", "enterprise-environments" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Multi-account infrastructure", "Kubernetes", "GitOps", "Observability", "Incident response", "Operational resilience", "FinOps", "Regulated environments", "Enterprise environments" ], "toolProficiency" : [ "AWS", "Azure", "EKS", "AKS", "Karpenter", "Cluster Autoscaler", "Terraform", "GitHub Actions", "Argo CD", "OpenTelemetry", "Prometheus", "Grafana", "Cloudflare", "Artifactory", "SonarQube", "GitHub Advanced Security" ], "communicationSkills" : "Technical guidance; Client requirements translation", "documentationSkills" : "ADRs publishing; Reference architectures", "continuousLearning" : "Growth trajectory", "innovationCreativity" : "Building something new; Uncharted territory", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Incident response", "qualificationsBasic" : "6+ years Platform Engineering, DevOps, or SRE, Production ownership experience, Experience leading or mentoring engineers, Deep hands-on Kubernetes (EKS/AKS), Deep hands-on Terraform at scale, Cloud fundamentals: IAM, networking, DNS, TLS, private connectivity, Proficiency with GitOps workflows, Proficiency with CI/CD pipeline design, Proven background in observability, Proven background in incident response, Proven background in operational resilience, Solid Linux systems foundation, Solid automation foundation", "qualificationsPreferred" : "Designing Terraform module registries, Designing internal IaC frameworks, Organization-level AWS/Azure governance, Infrastructure policy and compliance automation, Security tooling experience, FinOps and cost optimization, Experience in regulated environments, Experience in enterprise environments, Client facing solutions engineer role experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "About the Company At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you. About the Role We are seeking a Platform Architect to lead the build-out of our infrastructure platform. This is a hands-on technical leadership role: you will drive the platform forward by making key architectural decisions, setting technical direction, and building alongside the team. You will mentor and guide platform engineers while working closely with sales and delivery teams to ensure the platform supports what we are taking to market. Responsibilities Design and manage scalable, multi-account infrastructure on AWS/Azure, including VPC/VNet topology, routing, private networking, and secure ingress/egress. Lead the build and evolution of EKS/AKS clusters: lifecycle management, autoscaling (Karpenter/Cluster Autoscaler), upgrades, and rollout strategies (blue/green, canary). Architect and oversee reusable, versioned Terraform modules with strong testing, linting, and dependency management. Implement policy-as-code to enforce compliance and security guardrails. Design and build GitHub Actions / Argo CD pipelines for declarative, automated deployments. Integrate security, policy, and testing stages into every pipeline. Interface with security teams to Implement image signing, SBOMs, SAST/SCA, and container scanning. Manage identity and access through SSO/SCIM, least-privilege RBAC, and secrets lifecycle management. Improve observability and alerting using OpenTelemetry, Prometheus, and Grafana. Define SLOs/SLIs and automate incident detection and response. Design and extend automation in Go, Python, or TypeScript for infrastructure workflows, compliance checks, and operational tooling. Influence the platform roadmap, publishing ADRs and reference architectures to guide the engineering team. Mentor platform engineers through pairing, design reviews, and hands-on technical guidance. Collaborate with sales and delivery teams to translate client requirements into platform capabilities and align infrastructure with project timelines. Implement FinOps practices including capacity planning, utilization metrics, and right-sizing recommendations. Minimum Qualifications 6+ years in Platform Engineering, DevOps, or SRE roles with production ownership, including experience leading or mentoring engineers. Deep hands-on experience operating Kubernetes (EKS/AKS) and infrastructure via Terraform at scale. Strong cloud fundamentals: IAM, networking (VPCs, subnets, routing), DNS, TLS, and private connectivity. Proficiency with GitOps workflows (Argo CD, Flux) and CI/CD pipeline design. Proven background in observability, incident response, and operational resilience. Strong communication skills with the ability to collaborate across technical and non-technical teams. Ideal candidate would have experience in a client facing solutions engineer role. Solid Linux systems and automation foundation. Preferred Qualificaitons Designing Terraform module registries or internal IaC frameworks. Organization-level AWS/Azure governance (Control Tower, Landing Zones). Infrastructure policy and compliance automation (OPA, HashiCorp Sentinel). Security tooling (Cloudflare, Artifactory, SonarQube, GitHub Advanced Security). FinOps and cost optimization across multi-cloud or hybrid workloads. Experience in regulated or enterprise environments. Why Join Us? A high-performance culture State-of-the-art technology Experience world-class leadership Scale of impact and purpose A competitive salary and a huge growth trajectory Work with the best in the industry Flexible work environment Diversity and creativity Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website. Future Secure AI Privacy Policy At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the \"Website\") and use our services.", "summaryDescription" : "Platform Architect at Future Secure AI. Skills: Platform Architecture, Infrastructure as Code, Kubernetes Management, Cloud Infrastructure. Design scalable infrastructure on AWS/Azure. Manage scalable infrastructure on AWS/Azure", "postedDate" : "2026-06-15T23:21:21.539", "createdAt" : "2026-06-15T23:21:21.539", "lastUpdated" : "2026-06-16T07:28:27.328", "ingestTimestamp" : "2026-06-15T23:21:21.539", "mongoId" : "6a30517ef292fd229cf014b0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 195000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "VPC topology", "VNet topology", "Routing", "Private networking", "Secure ingress", "Secure egress", "Cluster lifecycle management", "Autoscaling", "Upgrade strategies", "Rollout strategies", "Module testing", "Module linting", "Dependency management", "Policy enforcement", "Compliance enforcement", "Security guardrails", "Image signing", "SBOMs", "SAST", "SCA", "Container scanning", "Least-privilege RBAC", "Secrets lifecycle management", "SLOs", "SLIs", "Automation scripting", "Compliance checks", "Operational tooling development", "ADRs publishing", "Client requirements translation", "Infrastructure alignment", "Cost optimization", "Leadership", "Mentoring", "Platform Architecture", "Infrastructure as Code", "Kubernetes Management", "Cloud Infrastructure", "Architectural decisions", "Technical direction", "Infrastructure automation", "Policy automation", "Deployment automation", "Security integration", "Identity management", "Observability definition", "Incident detection", "Incident response", "Infrastructure workflows", "Operational tooling", "Platform roadmap", "Reference architectures", "Capacity planning", "Utilization metrics", "Right-sizing recommendations", "Roadmap planning", "Cloud-native architecture", "Multi-account infrastructure", "Kubernetes", "GitOps", "Observability", "Operational resilience", "FinOps", "Regulated environments", "Enterprise environments", "AWS", "Azure", "EKS", "AKS", "Karpenter", "Cluster Autoscaler", "Terraform", "GitHub Actions", "Argo CD", "OpenTelemetry", "Prometheus", "Grafana", "Cloudflare", "Artifactory", "SonarQube", "GitHub Advanced Security" ], "skillCount" : 81, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a660974d8ee00a062ba71", "title" : "Sr. Product Manager, Sales Optimization and Planning", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, alexa and amazon devices", "salary" : { "min" : 151000.0, "max" : 204600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T03:05:35.223", "fingerprint" : "0c841ed2adb10cc8234f95f99b88ed9c64277fd580d76065b076783d3041381e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10442981/apply", "externalId" : "c575c7f5-0f4f-420b-99c3-57a7fc4ba2cc", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "GenAI, ML, Machine Learning, Large language models", "professionalSkills" : [ "Product strategy", "Roadmap management", "Pricing optimization", "Demand forecasting", "Sales planning" ], "hardSkillsList" : [ "Requirements definition", "Trade-off decisions", "User story writing" ], "hardSkills" : [ { "name" : "Requirements definition", "level" : "intermediate" }, { "name" : "Trade-off decisions", "level" : "intermediate" }, { "name" : "User story writing", "level" : "intermediate" } ], "majorSkills" : "Product management, Sales optimization, GenAI/ML", "majorSkillsList" : [ "Product management", "Sales optimization", "GenAI/ML" ], "coreResponsibilities" : "Define product vision, Write BRDs, Write PR/FAQs, Write user stories, Drive prioritization, Make trade-off decisions, Manage roadmap, Partner with Science and Engineering, Translate science model capabilities, Define and deliver features, Drive adoption and trust, Gather feedback, Iterate on features, Measure success, Partner with Finance, Partner with Supply Chain, Partner with Forecasting, Apply generative AI, Apply machine learning, Present product strategy, Present progress updates, Present demos, Write clear documents", "teamCollaboration" : "Work with engineering teams; Work with science teams; Work with UX; Work with business stakeholders; Work with Sales Leaders; Work with Product Line managers; Collaborate across Amazon; Present to leadership", "projectManagementSkills" : [ "Roadmap strategy", "Roadmap definition", "Prioritization" ], "domainKnowledge" : "Sales optimization; Pricing optimization; Demand forecasting; GenAI; Machine Learning; Data platforms", "domainList" : [ "sales-optimization", "pricing-optimization", "demand-forecasting", "genai", "machine-learning", "data-platforms" ], "domainSpecificKnowledge" : [ "Sales optimization", "Pricing optimization", "Demand forecasting", "GenAI", "Machine Learning", "Data platforms" ], "toolProficiency" : [ "Tableau", "Qlikview", "QuickSight" ], "communicationSkills" : "Executive presentations; Document writing", "documentationSkills" : "BRDs; PR/FAQs", "innovationCreativity" : "Identify opportunities to apply generative AI", "problemSolvingSkills" : "Trade-off decisions", "outcomesObjectives" : "Improve forecast accuracy; Save time", "qualificationsBasic" : "7+ years product/program management, Bachelor's degree, Experience with feature delivery, Experience owning/driving roadmap strategy, Experience with end to end product delivery, Experience contributing to engineering discussions, Experience managing technical products, Experience advocating for customers", "qualificationsPreferred" : "Experience with analytical tools, Experience building/driving adoption of new tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Devices is looking for a Senior Product Manager to join the Axiom team within Demand Science Optimization (DSO). Axiom is the sales planning product used by Sales Leaders across Amazon Devices to plan and optimize pricing, promotions, and demand for product lines spanning Product Line Marketplaces across North America, Europe, and Japan. You will own a product workstream end-to-end — from defining the vision and writing requirements, to working with engineering and science teams to ship features that directly impact how Amazon prices and plans for hundreds of millions of dollars in device sales. This role sits at the intersection of GenAI/ML, data platforms, pricing optimization, and UX — and you'll work daily with science, engineering, UX, and business stakeholders to build products that replace manual planning processes with intelligent, automated systems. This is a high-visibility role. Your work will be reviewed by VP-level leadership, and the features you build will be used by Product Line leaders, Finance, and Supply Chain teams across Amazon Devices worldwide. Key job responsibilities - Own a product workstream end-to-end: Define the product vision, write BRDs, PR/FAQs, and user stories. Drive prioritization, make trade-off decisions, and manage the roadmap for your area. - Partner with Science and Engineering: Work with applied scientists on pricing optimization models, demand forecasting, and ML-powered recommendation systems. Translate science model capabilities into product experiences that users trust and adopt. - Ship customer-facing features: Define and deliver features across the Axiom platform, including Homepage dashboards, planning workflows, price recommendation widgets, GenAI-powered insights, and data visualization tools. - Drive adoption and trust: Work directly with Sales Leaders and Product Line managers to understand their workflows, gather feedback, and iterate on features. Measure success through adoption metrics, time savings, and forecast accuracy improvements. - Collaborate across Amazon: Partner with Finance (Vista, Cerberus), Supply Chain (NEO), Forecasting (USF), and other DSO systems to ensure Axiom plans flow accurately to downstream consumers. - Leverage AI/ML and GenAI: Identify opportunities to apply generative AI, large language models, and machine learning to planning workflows — from automated summaries and anomaly detection to AI-driven price recommendations. - Communicate with leadership: Present product strategy, progress updates, and demos to Director and VP-level stakeholders. Write clear, concise documents in the Amazon narrative style. Basic Qualifications: - 7+ years of product or program management, product marketing, business development or technology experience - Bachelor's degree - Experience with feature delivery and tradeoffs of a product - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning Preferred Qualifications: - Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Experience in building and driving adoption of new tools Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually", "summaryDescription" : "Sr. Product Manager, Sales Optimization and Planning at Amazon.com Services LLC. Skills: Product management, Sales optimization, GenAI/ML. Define product vision. Write BRDs", "postedDate" : "2026-06-13T10:27:32.468", "createdAt" : "2026-06-13T10:27:32.468", "lastUpdated" : "2026-06-15T03:05:35.223", "ingestTimestamp" : "2026-06-13T10:27:32.468", "mongoId" : "6a2a660974d8ee00a062ba71", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10442981/apply", "salaryAnnualMin" : 151000, "salaryAnnualMax" : 204600, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Requirements definition", "Trade-off decisions", "User story writing", "Product management", "Sales optimization", "GenAI/ML", "Product strategy", "Roadmap management", "Pricing optimization", "Demand forecasting", "Sales planning", "Roadmap strategy", "Roadmap definition", "Prioritization", "GenAI", "Machine Learning", "Data platforms", "Tableau", "Qlikview", "QuickSight" ], "skillCount" : 20, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69ce5e3b9bc74574cb677af6", "title" : "EE System & Hardware Architect", "company" : "Mercedes-Benz Digital Tech Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-Senior EE System & Hardware Architect in Bengaluru, India, adjusted for the automotive industry and company size." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "China (Mainland)-Shanghai-Shanghai", "Xingchi Tower, No. 399, Keqiao Road, , Jinqiao, Pudong, Shanghai" ], "timestamp" : "2026-06-15T11:19:29.897", "fingerprint" : "dad0c05624dd1bacbd170a998e9d3ca34050e65e530f2bcbff2d687c34deaed9", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=881047", "externalId" : "881047", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" }, { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Bengaluru, India; Pune, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Senior", "technicalSkills" : "Automotive electronics, Automotive hardware, Automotive network, E/E architecture, CAN, CAN FD, FlexRay, LIN, Ethernet TSN, MB. OS", "professionalSkills" : [ "System-level design", "Requirements management", "Functional safety", "Cybersecurity", "Hardware abstraction" ], "hardSkillsList" : [ "Signal definition", "Power distribution", "Message definition", "Diagnostic services" ], "hardSkills" : [ { "name" : "Signal definition", "level" : "intermediate" }, { "name" : "Power distribution", "level" : "intermediate" }, { "name" : "Message definition", "level" : "intermediate" }, { "name" : "Diagnostic services", "level" : "intermediate" } ], "majorSkills" : "System modeling, Simulation, Architecture modeling", "majorSkillsList" : [ "System modeling", "Simulation", "Architecture modeling" ], "coreResponsibilities" : "Design E/E architecture, Integrate E/E architecture, Collect requirements, Analyze requirements, Manage requirements, Perform system modeling, Conduct simulation, Design communication protocols, Benchmark competitor solutions, Promote China EEA solution", "teamCollaboration" : "Domain experts; EEA experts; Suppliers; Global EEA team", "projectManagementSkills" : [ "V-model development" ], "domainKnowledge" : "Automotive engineering; Vehicle EEA platforms; Software-defined vehicle; ISO 26262; ISO 21434; R155; Zonal concepts; Domain controllers; Chipsets; Middleware; Gateway solutions; Zonal controllers", "domainList" : [ "automotive-engineering", "vehicle-eea-platforms", "software-defined-vehicle", "iso-26262", "iso-21434", "r155", "zonal-concepts", "domain-controllers", "chipsets", "middleware", "gateway-solutions", "zonal-controllers" ], "domainSpecificKnowledge" : [ "Automotive engineering", "Vehicle EEA platforms", "Software-defined vehicle", "ISO 26262", "ISO 21434", "R155", "Zonal concepts", "Domain controllers", "Chipsets", "Middleware", "Gateway solutions", "Zonal controllers" ], "toolProficiency" : [ "PREEvision", "SystemWeaver" ], "qualificationsBasic" : "3-5 years experience, Bachelor's degree or above, Proficient English writing, Proficient English speaking", "qualificationsPreferred" : "German language skills, ECU development experience, BCM development experience", "remoteFriendly" : false, "rawDescription" : "Objective of job: We are seeking an experienced EEA engineer in system-level design and automotive electronics/hardware/network-related roles. You will work with the principal architectures and other domain experts for our next generation vehicle EEA platforms (ICE/EV), responsible for delivery tangible technical solution. Your core mission is to co-work with domain experts and utilize efficient tools to co-create a future-proof computing platform that lays the foundation system bedrock for our software-defined vehicle strategy. Task Description: E/E Architecture Design and Integration: Design and integrate the vehicle-level electrical/electronic architecture, including network topology, function allocation, signal definition, and power distribution, ensuring seamless collaboration among ECUs. Requirements Management, Analysis, documentation: Collect, analyze, and manage functional, performance, and safety requirements for the vehicle E/E system to ensure the architectural design aligns with overall vehicle functional definitions; System Modeling and Simulation: Perform system modeling using tools (e.g., PREEvision, SystemWeaver) and conduct simulation-based verification to validate the feasibility and performance of architectural solutions. Communication Protocol Design: Design in-vehicle network communication protocols (e.g., CAN, LIN, Ethernet), including message/signal definition and diagnostic services, ensuring reliable and real-time data communication. Work with other EEA experts and suppliers, benchmark competitor EEA solution, communicate with China management and global EEA team to promote China EEA solution. Qualification Education: Bachelor’s degree or above in Electrical Engineering, Automotive Engineering, Automation, Computer Science, or related fields. Experience: Minimum 3-5 years of experience in automotive electronics/hardware/network-related roles, ECU, BCM etc. development experience preferred. Proficient English writing and speaking skills, German is nice to have. Technical requirements: Ability to define and optimize vehicle-level E/E architecture, including zonal concepts, domain controllers, and integration with MB.OS or similar platforms. This involves understanding cross-domain dependencies and scalability for future technologies; Knowledge of ISO 26262 for functional safety and ISO 21434/R155 for cybersecurity. Engineers must ensure compliance during architecture design and implementation phases; Proficiency in automotive communication standards such as CAN/CAN FD, FlexRay, LIN, and Ethernet TSN. These are critical for designing robust and high-bandwidth in-vehicle networks; Hands-on experience with architecture modeling and simulation tools like PREEVision , as well as familiarity with V-model development processes, including requirement decomposition, interface definition, and system-level testing; Capability to manage hardware abstraction layers and coordinate ECU hardware with software stacks. This includes understanding chipsets, middleware, and gateway solutions for zonal controllers and car computers; Experience in cross-functional and international project collaboration. Mercedes-Benz Digital Tech Ltd.", "summaryDescription" : "EE System & Hardware Architect at Mercedes-Benz Digital Tech Ltd.. Skills: System modeling, Simulation, Architecture modeling. Design E/E architecture. 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Within this, Citi's Cash Equities platform operates across major financial centres globally, providing institutional clients with sophisticated market access through a combination of high-touch coverage, programme trading, and advanced electronic execution capabilities. Citigroup Global Markets Limited (CGML), Citi's international broker-dealer headquartered in London, acts as a principal hub for equities activity across EMEA and plays a central role in the firm's ambition to grow its prime and execution footprint with the world's leading institutional investors. This Vice President role sits within Citi's Cash Equities Execution team in London and is focused on the ownership, management, and strategic development of Citi's electronic execution product suite and platform infrastructure. The individual will serve as the connective tissue between trading, technology, quantitative research, and a sophisticated institutional client base — including asset managers, hedge funds, and quant funds — to drive the evolution of execution infrastructure and electronic trading products including Citi's Direct Market Access (DMA), algorithmic trading, and Smart Order Routing capabilities. As Citi continues to invest in its EMEA execution franchise, this is a high-visibility role at the heart of that buildout. **Primary Responsibilities** * Own and drive the product strategy and roadmap for Citi's cash equities electronic execution platform, ensuring alignment with business priorities and client demand. * Partner with technology, quant research, and trading teams to coordinate production releases, manage go-live processes for new client solutions, and troubleshoot platform issues in co-ordination with production management, network engineers, and application development groups. * Oversee platform governance and regulatory compliance, ensuring all electronic trading products adhere to applicable obligations including MiFID II market access controls, and maintain a robust risk management and governance framework across the execution product suite. * Produce and present in-depth analytics on product usage, client trading trends, execution performance, and revenue attribution, leveraging data-driven insights to inform platform investment decisions and enhance client outcomes. * Drive cross-functional initiatives, acting as business lead for technology projects and coordinating across trading desks — including Programme Trading, High Touch, and Equity Derivatives — to support broader cash equities platform integration and client onboarding. **What We Need From You** * Demonstrated experience in a product management, execution advisory, or platform management capacity within a cash equities trading environment at an investment bank or execution venue; typically 6–10 years of relevant front-office or closely adjacent experience. * Deep domain expertise in equities electronic execution, including hands-on familiarity with DMA products, execution algorithms, Smart Order Routing, dark pool access, and exchange co-location infrastructure across major EMEA venues. * Strong technical proficiency, with practical experience using Q/kdb+ and Python for trade data analysis, product performance monitoring, and execution quality analytics; knowledge of FIX Protocol is advantageous. * Thorough understanding of the EMEA regulatory landscape as it applies to electronic trading, specifically MiFID II requirements including algorithmic trading controls, market access risk management, and systematic internaliser frameworks. * Proven stakeholder management and communication skills, with the ability to translate complex technical concepts for both client-facing and senior internal audiences, and to influence outcomes across a matrixed, global organisation. * A quantitative undergraduate or postgraduate degree in Finance, Economics, Mathematics, Engineering, Computer Science, or a related discipline from a leading academic institution; CFA or equivalent professional qualification is advantageous but not essential. **What Citi Can Offer You** By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: * 27 days annual leave (plus bank holidays) * A discretional annual performance related bonus * Private Medical Care & Life Insurance * Employee Assistance Program * Pension Plan * Paid Parental Leave * Special discounts for employees, family, and friends * Access to an array of learning and development resources * Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. If you are actively working with clients, have a passion for relationships and want to be part of a successful global franchise – then apply today. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Candidates applying for this role must be aware that it is a Certified Role, subject to the FCA and PRA Certification Regime. The Certification Regime is one element of the Individual Accountability Regime which came into effect on 7 March 2016. Under the Certification Regime, Citi UK regulated entities (Citi entities) must ensure that employees working in certain roles categorised as specified significant harm functions (Certified Roles) are assessed as fit and proper to carry out their role. Under the guidance provided by the FCA and PRA, firms should have regard to the following when assessing fitness and propriety: * Honesty, Integrity and Reputation * Financial soundness * Competence and capability In order to comply with the requirements of the Certification Regime, Citi entities must take reasonable care to ensure that an employee does not perform a Certified Role without first being certified as Fit and Proper. For this reason, you will be assessed for this role against the Fit and Proper requirements, as described above. This assessment will be carried out through extensive interviews, self-disclosures, permitted criminal record checks, regulated reference checks, credit checks and other background screening checks. \\------------------------------------------------------ ## **Job Family Group:** Product Management and Development \\------------------------------------------------------ ## **Job Family:** Product Management \\------------------------------------------------------ ## **Time Type:** Full time \\------------------------------------------------------ ## **Most Relevant Skills** Please see the requirements listed above. \\------------------------------------------------------ ## **Other Relevant Skills** For complementary skills, please see above and/or contact the recruiter. \\------------------------------------------------------ _Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._ __ _If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _[Accessibility at Citi](https://www.citigroup.com/citi/accessibility/application-accessibility.htm)._ _View Citi’s[EEO Policy Statement](https://www.citigroup.com/global/eeo-aa-policy) and the [Know Your Rights](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) poster._", "summaryDescription" : "Platform and Product Manager at Citi", "postedDate" : "2026-06-11T21:36:57.909", "createdAt" : "2026-06-14T21:36:57.904", "lastUpdated" : "2026-06-16T00:58:55.248", "ingestTimestamp" : "2026-06-14T21:36:57.904", "mongoId" : "6a2eb32a74d8ee00a0e7de00", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://citi.wd5.myworkdayjobs.com/2/job/London--United-Kingdom/Platform-and-Product-Manager_26961734", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "manager", "dataQualityScore" : 0.8888889, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305347f292fd229cf1211c", "title" : "Sr Platform Architect", "company" : "ServiceNow", "industry" : "Information Technology And Services", "salary" : { "min" : 155000.0, "max" : 205000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Platform Architect in Zurich, Switzerland, adjusted for the SaaS industry and a large company size." }, "location" : "Zurich, CH", "locations" : [ "Zurich", "CH" ], "timestamp" : "2026-06-16T06:49:48.578", "fingerprint" : "fe7ef77be521584942b2669beb527368ce0f04414754947d1d5191a87c403389", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ServiceNow/744000132175899-sr-platform-architect", "externalId" : "744000132175899", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zurich", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "47.3744489,8.5410422" } ], "locationText" : "Zurich, Switzerland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. . You will be part of the Customer Outcomes team. Our purpose is to accelerate platform adoption and improve customer outcomes. We do this through a portfolio of services, delivered by outstanding consultants, using our ecosystem of partners, our leading practices, methodologies and tools based on our experiences from 1000's of customer engagements. What you get to do in this role: The Platform Architect is a technical advisory role, responsible for helping our customers establish a technical foundation in the ServiceNow Platform and design solutions that improve outcomes. The Platform Architect ensures customers use leading practices around instance strategy, technical governance, core data, integrations and the technical health of the platform. This is a consultative role focused on guiding ServiceNow, partner, and customer employees on the engagement team to provide a solution on a technical architecture designed for long-term success. * You will work with the customer across executive, platform owner, enterprise architects, and development teams during the selling, structuring and implementation of solutions. * Be a technical expert across multiple engagements to guide customers, partners, and internal team members to provide successful customer solutions. * Provide a variety of knowledge across multiple workflows. * Develop relationships with technical and business leaders at the customer site to understand the role of ServiceNow in their digital transformation vision. * Translate goals to outcomes into a customer roadmap. * Translate business information and technical requirements into an architectural blueprint to achieve complex goals. * Engage with the customer's Enterprise Architects to position ServiceNow as the digital transformation platform standard, integrated with the customer's core applications. * Be an expert in managing technical governance and delivery operating models. * Ensure instance health by working with the engagement team to reduce technical debt and align to ServiceNow leading practices. * Support the sales effort by scoping and estimating the engagement and change orders. * Be an active contributor of leading practices and expertise related to the ServiceNow platform. Maintain skills / certifications. * Support the professional development of others through means of mentoring. ## Qualifications To be successful in this role you have: * Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. * This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. * Consulting on AI and Agentic AI in the SaaS platform/packaged software. * Understanding of concepts like Autonomous Workforce and how this applies to Service Management. * Industry domain expertise in SaaS. * Designing and implementing Service Management (e.g. CRM, GBS, HR, ITSM, ERP, LowCode) in SaaS platforms/packaged software. * Modelling Service Models and designing Service Catalogs. * Consulting customers on Service Processes and Capabilities. * Success driving complex issues through analysis and resolution. * Ability to relay complex information to diverse set of audiences, both technical and non-technical. * Large program experience leading architecture and design. * Consulting on integrations and lifecycles of data across platforms. * Driving Data Governance for the Service Management Capabilities. * Multiple years progressive experience as part of a professional services organization; or equivalent education/experience. * Ability to travel up to 50%. * Right to work in the country you are applying to ## Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. [Learn more here](https://careers.servicenow.com/life-at-servicenow#workpersonas). To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [globaltalentss@servicenow.com ](mailto:globaltalentss@servicenow.com)for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license. .", "summaryDescription" : "Sr Platform Architect at ServiceNow", "postedDate" : "2026-06-15T11:23:33.000", "createdAt" : "2026-06-15T21:57:42.309", "lastUpdated" : "2026-06-16T06:49:48.578", "ingestTimestamp" : "2026-06-15T21:57:42.309", "mongoId" : "6a305347f292fd229cf1211c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e430f8b1b0376634c790", "title" : "System Architect, Hardware Architecture", "company" : "Amazon.com Services LLC", "industry" : "Hardware Development, ASIC, alexa and amazon devices", "salary" : { "min" : 129800.0, "max" : 212800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T04:02:39.666", "fingerprint" : "415c298d6347dc17a807bafa8c8636d485d8b9b837dde55f569c8d7f39fd1f18", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3074098/apply", "externalId" : "172ed7e6-4872-4cb3-9215-d64a6cc71d11", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SoC, Silicon, Computer architecture, Machine learning, Embedded software, System architecture, Compute architecture, ML accelerators, Video encoders, Video decoders, Embedded Linux, System C, RTL design, FPGA design, Python, C/C++, Java", "professionalSkills" : [ "System design", "Architecture definition", "Technical lead", "Technology roadmaps", "Product requirements", "User experience tradeoffs" ], "hardSkillsList" : [ "Silicon design", "System performance benchmarking", "Profiling", "Benchmarking", "Prototyping" ], "softSkillsList" : [ "Communication skills" ], "hardSkills" : [ { "name" : "Silicon design", "level" : "intermediate" }, { "name" : "System performance benchmarking", "level" : "intermediate" }, { "name" : "Profiling", "level" : "intermediate" }, { "name" : "Benchmarking", "level" : "intermediate" }, { "name" : "Prototyping", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" } ], "majorSkills" : "System architecture, Hardware architecture, SoC architecture, Silicon design", "majorSkillsList" : [ "System architecture", "Hardware architecture", "SoC architecture", "Silicon design" ], "coreResponsibilities" : "Define system architecture for consumer products, Serve as lead technical point of contact, Interpret product concept requirements, Clarify product concept requirements, Define system architecture meeting product requirements, Understand and clarify requirements, Understand and clarify user experience tradeoffs, Drive key design decisions, Select device SoC, Select compute architecture, Select system components, Document decisions in system architecture specification, Provide design guidance to engineering team, Track market trends, Interface with silicon vendors, Interface with IP vendors, Define roadmaps for compute IP, Define roadmaps for silicon platforms, Dive deep into silicon design, Define specs for next-gen silicon platforms, Work with silicon suppliers to implement, Work on concepts with reference architecture, Work on emerging product ideas, Stay engaged as system technical lead, Ensure product requirements are met, Work closely with multi-disciplinary product team, Validate architecture assumptions through profiling, Validate architecture assumptions through benchmarking, Lead cross-functional group to drive architecture decisions, Contribute towards developing IP, File patents, Gather business product requirements, Gather functional product requirements, Translate requirements into technical specifications, Translate requirements into architectures, Perform architecture feasibility analysis, Present architecture tradeoffs, Present architecture recommendations, Develop and document architecture specifications, Serve as technical lead throughout development lifecycle, Provide design reviews for engineers, Provide validation reviews for engineers, Drive technology roadmaps, Foster innovation, Meet needs of long-term product roadmap, Work closely with silicon suppliers, Work closely with component suppliers, Influence supplier roadmaps", "teamCollaboration" : "Cross-functional team; Multi-disciplinary product team; Cross-functional group", "projectManagementSkills" : [ "Scoping", "Planning", "Conception", "Design", "Implementation", "Testing", "Delivery", "Maintenance" ], "domainKnowledge" : "Consumer electronics; SoC architecture; Silicon design; Computer architecture; Machine learning; Embedded Linux; Video encoders; Video decoders; Audio; Wireless; Sensors; Power management; System performance benchmarking", "domainList" : [ "consumer-electronics", "soc-architecture", "silicon-design", "computer-architecture", "machine-learning", "embedded-linux", "video-encoders", "video-decoders", "audio", "wireless", "sensors", "power-management", "system-performance-benchmarking" ], "domainSpecificKnowledge" : [ "Consumer electronics", "SoC architecture", "Silicon design", "Computer architecture", "Machine learning", "Embedded Linux", "Video encoders", "Video decoders", "Audio", "Wireless", "Sensors", "Power management", "System performance benchmarking" ], "toolProficiency" : [ "System C", "RTL design", "FPGA design" ], "communicationSkills" : "Document technical designs; Present technical designs", "documentationSkills" : "Document decisions; System architecture specification", "innovationCreativity" : "Develop IP; File patents", "problemSolvingSkills" : "Architecture feasibility analysis; Profiling; Benchmarking; Prototyping", "qualificationsBasic" : "3+ years industry experience, MS in Computer Engineering, MS in Electrical Engineering, MS in related fields, Background in SoC/Silicon engineering, Background in computer architecture, Background in machine learning, Background in embedded software", "qualificationsPreferred" : "Understanding of heterogenous SoC architectures, Experience driving architecture decisions, Experience driving design decisions, Expertise in computer architecture, Expertise in SoC architecture, Expertise in silicon design, Expertise in graphics and multimedia, Expertise in embedded Linux, Expertise in video encoders/decoders, Expertise in applied machine learning, Expertise in ML accelerators, Expertise in audio, Expertise in wireless, Expertise in sensors, Expertise in power management, Expertise in system performance benchmarking, Software development for prototyping, Hardware development for prototyping, Clear documentation of technical designs, Clear presentation of technical designs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Devices team designs high-profile consumer electronics, including the best-selling Amazon Echo, FireTV, Fire Tablets, Kindle, and Astro family of products. We are looking for a motivated individual contributor with a solid hardware or silicon background, great communication skills, and the passion to collaborate with a cross-functional team to drive system architecture across Amazon devices. Key job responsibilities As a System Architect, you will be responsible for defining the system architecture for consumer products such as Echo, FireTV and a range of new concepts not yet announced. You will serve as the lead technical point of contact that the product management and business teams rely on to interpret and clarify the product concept's desired user experience and requirements. You will define system architecture that can meet product requirements and work closely with the business team to understand and clarify requirements and user experience tradeoffs. In the process of architecture definition, you will drive key design decisions such as edge-cloud compute partition, device SoC selection, compute architecture (CPU, DSP, GPU and ML accelerators), and other system component selections (chipsets, memory, storage). You will document the decisions in a system architecture specification document that will provide relevant design guidance for the engineering team. Besides directly defining product architectures, you will track market trends, interface directly with silicon and IP vendors, and define roadmaps for the whole organization on the next generation compute IP and silicon platforms. You will dive deep into silicon design, define specs for the next-gen silicon platforms and work with our silicon suppliers to implement them. You will work on concepts that may have an existing reference architecture as well as emerging product ideas that do not have any precedence. As the product is developed from the initial concept, prototype development, validation, to production you will stay engaged as the system technical lead to ensure the product requirements are being met. Throughout this process you work closely with multi-disciplinary product team including Program Management, Electrical Engineering, Software Engineering, ML Science, Product Design, Industrial Design, Reliability, and Operations. You are a hands-on engineer who is close to the details and validates your architecture assumptions through profiling and benchmarking. You have sufficient breadth across system domains to be able to independently lead a cross-functional group to drive architecture decisions. Besides breadth, you also typically bring depth in one or more areas of expertise to the architecture team, such as computer architecture, SoC architecture, silicon design, graphics and multimedia, embedded Linux, video encoders/decoders, applied machine learning, ML accelerators, audio, wireless, sensors, power management, system performance benchmarking, etc. As part of technology development, you contribute towards developing IP and filing patents. A day in the life Gather business and functional product requirements from external/internal customers, and translate these requirements into technical specifications and architectures that are robust, scalable and supportable Perform architecture feasibility analysis, including profiling, benchmarking and prototyping new features (with the larger team) on available silicon platforms. Present architecture tradeoffs and recommendations to senior management (VP level) Collaborate with cross-functional teams to develop and document architecture specifications that serve as a reference for development teams Serve as a technical lead throughout the full development lifecycle, end-to-end, from scoping, planning, conception, design, implementation and testing, to delivery and maintenance Provide design and validation reviews for other engineers, including feedback on architecture and design issues, as well as integration, performance and scalability. Drive technology roadmaps in areas of expertise to foster innovation and meet the needs of the long-term product roadmap. Work closely with silicon and component suppliers and influence their roadmaps to meet Amazon Lab126 needs. About the team The system architecture team is responsible for architecting Amazon Lab126 products including Echo, Fire Tablets, FireTV, Kindle eReaders, Hearables, Wearables and IoT. The team also owns the chipset and IP technology roadmap and drives strategies that enable reuse and scale across Amazon devices. The team is comprised of architects with varied hardware and software backgrounds. We are always on the lookout for capable architects who can raise the bar and add technical expertise and depth to drive architectures for next-gen devices and emerging concepts. Come be a part of the system architecture team in Lab126 Hardware Architecture and technology! Employees who have experience with consumer electronics devices and have been EEs, embedded software engineers, systems engineers, etc. and would like to contribute at the architecture level to the exciting Lab126 roadmap are encouraged to apply. Basic Qualifications: 3+ years of industry experience or MS in Computer Engineering, Electrical Engineering, or related fields Background or education in SoC/Silicon engineering, computer architecture, machine learning or embedded software Preferred Qualifications: Strong understanding of heterogenous SoC architectures Experience in driving architecture and design decisions for consumer electronics devices Expertise in at least two of the following areas: computer architecture, SoC architecture, silicon design, graphics and multimedia, embedded Linux, video encoders/decoders, applied machine learning, ML accelerators, audio, wireless, sensors, power management, system performance benchmarking, etc. Hands-on skills in either software development for prototyping (Python, C/C++, Java, etc.) or hardware development (System C, RTL design, FPGA design) Strong communication skills, ability to clearly document and present technical designs Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,800/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "System Architect, Hardware Architecture at Amazon.com Services LLC. Skills: System architecture, Hardware architecture, SoC architecture, Silicon design. Define system architecture for consumer products. Serve as lead technical point of contact", "postedDate" : "2026-06-13T10:49:59.218", "createdAt" : "2026-06-13T10:49:59.218", "lastUpdated" : "2026-06-15T04:02:39.666", "ingestTimestamp" : "2026-06-13T10:49:59.218", "mongoId" : "68c2e430f8b1b0376634c790", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3074098/apply", "salaryAnnualMin" : 129800, "salaryAnnualMax" : 212800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Silicon design", "System performance benchmarking", "Profiling", "Benchmarking", "Prototyping", "Communication skills", "System architecture", "Hardware architecture", "SoC architecture", "System design", "Architecture definition", "Technical lead", "Technology roadmaps", "Product requirements", "User experience tradeoffs", "Scoping", "Planning", "Conception", "Design", "Implementation", "Testing", "Delivery", "Maintenance", "Consumer electronics", "Computer architecture", "Machine learning", "Embedded Linux", "Video encoders", "Video decoders", "Audio", "Wireless", "Sensors", "Power management", "System C", "RTL design", "FPGA design" ], "skillCount" : 36, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consumer Electronics" }, { "id" : "69c94a659bc74574cbbb2fb6", "title" : "System Architect, Hardware Architecture", "company" : "Amazon.com Services LLC", "industry" : "Hardware Development, ASIC, alexa and amazon devices", "salary" : { "min" : 157300.0, "max" : 212800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T01:44:35.724", "fingerprint" : "fe93fdd94440e5ed4e7f8f1bb5c7d8c94966a5a28e2234910919cf1acfb77c45", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194404/apply", "externalId" : "e82aeaf7-efdb-46cb-a8f2-93bb9b94e210", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "ARM, DSP ISAs, 4G, 5G NR, WiMAX, 802.11ad, Python, Perl", "professionalSkills" : [ "System architecture", "Hardware architecture", "Silicon design", "Compute architecture", "SoC selection", "ML accelerators", "Performance benchmarking" ], "hardSkillsList" : [ "Architecture definition", "Silicon supplier interface", "Technology roadmaps", "Formal verification", "End-to-end checking" ], "hardSkills" : [ { "name" : "Architecture definition", "level" : "intermediate" }, { "name" : "Silicon supplier interface", "level" : "intermediate" }, { "name" : "Technology roadmaps", "level" : "intermediate" }, { "name" : "Formal verification", "level" : "intermediate" }, { "name" : "End-to-end checking", "level" : "intermediate" } ], "majorSkills" : "Hardware architecture, System architecture, Silicon design", "majorSkillsList" : [ "Hardware architecture", "System architecture", "Silicon design" ], "coreResponsibilities" : "Define system architecture, Serve as lead technical point, Define system architecture, Work closely with business team, Drive key design decisions, Document decisions, Track market trends, Interface with silicon vendors, Define roadmaps, Dive deep into silicon design, Define specs for silicon platforms, Work with silicon suppliers, Stay engaged as system technical lead, Gather business and functional requirements, Translate requirements into technical specifications, Perform architecture feasibility analysis, Present architecture tradeoffs, Develop and document architecture specifications, Serve as technical lead, Provide design and validation reviews, Drive technology roadmaps, Work closely with silicon suppliers", "teamCollaboration" : "Cross-functional team; Multi-disciplinary product team; Cross-functional group", "projectManagementSkills" : [ "Scoping", "Planning", "Conception", "Design", "Implementation", "Testing", "Delivery", "Maintenance" ], "domainKnowledge" : "Consumer electronics; Hardware architecture; Silicon architecture; Computer architecture; SoC architecture; Graphics and multimedia; Embedded Linux; Video encoders/decoders; Applied machine learning; ML accelerators; Audio; Wireless; Sensors; Power management; System performance benchmarking; RF standards; Broadband wireless standards", "domainList" : [ "consumer-electronics", "hardware-architecture", "silicon-architecture", "computer-architecture", "soc-architecture", "graphics-and-multimedia", "embedded-linux", "video-encoders-decoders", "applied-machine-learning", "ml-accelerators", "audio", "wireless", "sensors", "power-management", "system-performance-benchmarking", "rf-standards", "broadband-wireless-standards" ], "domainSpecificKnowledge" : [ "Consumer electronics", "Hardware architecture", "Silicon architecture", "Computer architecture", "SoC architecture", "Graphics and multimedia", "Embedded Linux", "Video encoders/decoders", "Applied machine learning", "ML accelerators", "Audio", "Wireless", "Sensors", "Power management", "System performance benchmarking", "RF standards", "Broadband wireless standards" ], "toolProficiency" : [ "Python", "Perl" ], "communicationSkills" : "Communication skills; Technical specifications; Architecture specifications; Executive presentations", "documentationSkills" : "System architecture specification document", "innovationCreativity" : "Filing patents; Prototype development", "problemSolvingSkills" : "Debugging skills; Architecture feasibility analysis; Profiling; Benchmarking", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering, Experience identifying bugs, Experience verifying at multiple levels", "qualificationsPreferred" : "Master's degree in Electrical or Communications Engineering, Experience with formal verification techniques, Experience with ARM and various DSP ISAs, Experience with current and upcoming RF standards, Experience with industry standard tools and scripting languages", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Devices team designs high-profile consumer electronics, including the best-selling Amazon Echo, FireTV, Fire Tablets, Kindle, and Astro family of products. We are looking for a motivated individual contributor with a solid hardware or silicon background, great communication skills, and the passion to collaborate with a cross-functional team to drive system architecture across Amazon devices. Key job responsibilities As a System Architect, you will be responsible for defining the system architecture for consumer products such as Echo, FireTV and a range of new concepts not yet announced. You will serve as the lead technical point of contact that the product management and business teams rely on to interpret and clarify the product concept's desired user experience and requirements. You will define system architecture that can meet product requirements and work closely with the business team to understand and clarify requirements and user experience tradeoffs. In the process of architecture definition, you will drive key design decisions such as edge-cloud compute partition, device SoC selection, compute architecture (CPU, DSP, GPU and ML accelerators), and other system component selections (chipsets, memory, storage). You will document the decisions in a system architecture specification document that will provide relevant design guidance for the engineering team. Besides directly defining product architectures, you will track market trends, interface directly with silicon and IP vendors, and define roadmaps for the whole organization on the next generation compute IP and silicon platforms. You will dive deep into silicon design, define specs for the next-gen silicon platforms and work with our silicon suppliers to implement them. You will work on concepts that may have an existing reference architecture as well as emerging product ideas that do not have any precedence. As the product is developed from the initial concept, prototype development, validation, to production you will stay engaged as the system technical lead to ensure the product requirements are being met. Throughout this process you work closely with multi-disciplinary product team including Program Management, Electrical Engineering, Software Engineering, ML Science, Product Design, Industrial Design, Reliability, and Operations. You are a hands-on engineer who is close to the details and validates your architecture assumptions through profiling and benchmarking. You have sufficient breadth across system domains to be able to independently lead a cross-functional group to drive architecture decisions. Besides breadth, you also typically bring depth in one or more areas of expertise to the architecture team, such as computer architecture, SoC architecture, silicon design, graphics and multimedia, embedded Linux, video encoders/decoders, applied machine learning, ML accelerators, audio, wireless, sensors, power management, system performance benchmarking, etc. As part of technology development, you contribute towards developing IP and filing patents. A day in the life Gather business and functional product requirements from external/internal customers, and translate these requirements into technical specifications and architectures that are robust, scalable and supportable Perform architecture feasibility analysis, including profiling, benchmarking and prototyping new features (with the larger team) on existing and upcoming silicon platforms. Present architecture tradeoffs and recommendations to senior management (VP level) Collaborate with cross-functional teams to develop and document architecture specifications that serve as a reference for development teams Serve as a technical lead throughout the full development lifecycle, end-to-end, from scoping, planning, conception, design, implementation and testing, to delivery and maintenance Provide design and validation reviews for other engineers, including feedback on architecture and design issues, as well as integration, performance and scalability. Drive technology roadmaps in areas of expertise to foster innovation and meet the needs of the long-term product roadmap. Work closely with silicon and component suppliers and influence their roadmaps to meet Amazon Lab126 needs. About the team The system architecture team is responsible for architecting Amazon Lab126 products including Echo, Fire Tablets, FireTV, Kindle eReaders, Hearables, Wearables and IoT. The team also owns the chipset and IP technology roadmap and drives strategies that enable reuse and scale across Amazon devices. The team is comprised of architects with varied hardware and software backgrounds. We are always on the lookout for capable architects who can raise the bar and add technical expertise and depth to drive architectures for next-gen devices and emerging concepts. Come be a part of the system architecture team in Lab126 Hardware Architecture and technology! Employees who have experience with consumer electronics devices and have been EEs, embedded software engineers, systems engineers, etc. and would like to contribute at the architecture level to the exciting Lab126 roadmap are encouraged to apply. Basic Qualifications: - Bachelor's degree in Electrical Engineering or a related field - Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills - Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing Preferred Qualifications: - Master's degree in Electrical or Communications Engineering or a related field - Experience with formal verification techniques including abstraction and end-to-end checking - Experience with ARM and various DSP ISAs - Experience with current and upcoming RF standards in cellular (4G/5G NR), WiMAX, 802.11ad, microwave backhaul, or related broadband wireless standards - Experience with industry standard tools and scripting languages (Python or Perl) for automation Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Sunnyvale - 157,300.00 - 212,800.00 USD annually", "summaryDescription" : "System Architect, Hardware Architecture at Amazon.com Services LLC. Skills: Hardware architecture, System architecture, Silicon design. Define system architecture. Serve as lead technical point", "postedDate" : "2026-06-13T03:38:12.016", "createdAt" : "2026-06-13T03:38:12.016", "lastUpdated" : "2026-06-15T01:44:35.724", "ingestTimestamp" : "2026-06-13T03:38:12.016", "mongoId" : "69c94a659bc74574cbbb2fb6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194404/apply", "salaryAnnualMin" : 157300, "salaryAnnualMax" : 212800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Architecture definition", "Silicon supplier interface", "Technology roadmaps", "Formal verification", "End-to-end checking", "Hardware architecture", "System architecture", "Silicon design", "Compute architecture", "SoC selection", "ML accelerators", "Performance benchmarking", "Scoping", "Planning", "Conception", "Design", "Implementation", "Testing", "Delivery", "Maintenance", "Consumer electronics", "Silicon architecture", "Computer architecture", "SoC architecture", "Graphics and multimedia", "Embedded Linux", "Video encoders/decoders", "Applied machine learning", "Audio", "Wireless", "Sensors", "Power management", "System performance benchmarking", "RF standards", "Broadband wireless standards", "Python", "Perl" ], "skillCount" : 37, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consumer Electronics" }, { "id" : "69164da470f0b99d586f316c", "title" : "Principal Engineer - Systems for ML Inference and Training Optimization", "company" : "Amazon Web Services Development Center Germany GmbH", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 145000.0, "max" : 215000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Principal Engineer in Germany, adjusted for executive seniority and technology industry in Tübingen." }, "location" : "Tübingen, Baden-Wurttemberg, DEU", "locations" : [ "Tübingen, Baden-Wurttemberg, DEU" ], "timestamp" : "2026-06-15T01:40:04.438", "fingerprint" : "511522a17b0bf650759f5102eb780d980f843119706e37018b0b9e24d9faa210", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3123072/apply", "externalId" : "7ada9845-0270-4044-ab0c-35f593abad8f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tübingen", "state" : "Baden-Wurttemberg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.5203263,9.0535960" } ], "locationText" : "Tübingen, Baden-Wurttemberg, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, CUDA, Nvidia PTX, AWS Neuron, AI accelerators, SoCs, GPUs", "professionalSkills" : [ "Performance engineering", "Systems architecture", "Low-level optimization", "Technical strategy", "Cross-platform acceleration", "Hardware-software co-design", "Resource budgeting", "Performance measurement", "Performance analysis", "Performance optimization" ], "hardSkillsList" : [ "Kernel development", "Assembly-level code optimization", "Multi-GPU systems design", "Heterogeneous compute architecture", "Distributed training optimization", "High-throughput inference serving", "Low-level software optimization", "Zero-overhead libraries design", "Portable libraries design" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Kernel development", "level" : "intermediate" }, { "name" : "Assembly-level code optimization", "level" : "intermediate" }, { "name" : "Multi-GPU systems design", "level" : "intermediate" }, { "name" : "Heterogeneous compute architecture", "level" : "intermediate" }, { "name" : "Distributed training optimization", "level" : "intermediate" }, { "name" : "High-throughput inference serving", "level" : "intermediate" }, { "name" : "Low-level software optimization", "level" : "intermediate" }, { "name" : "Zero-overhead libraries design", "level" : "intermediate" }, { "name" : "Portable libraries design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "ML Systems, Performance Engineering, Distributed Systems, Low-level Optimization", "majorSkillsList" : [ "ML Systems", "Performance Engineering", "Distributed Systems", "Low-level Optimization" ], "coreResponsibilities" : "Define technical strategy, Drive architectural roadmap, Lead kernel-level optimizations, Architect heterogeneous compute platforms, Architect multi-GPU systems, Architect multi-node training systems, Lead delivery of solutions, Set technical direction, Define standards for CUDA, Optimize assembly-level code, Architect cross-platform acceleration, Design multi-node communication, Invent novel approaches, Achieve 10x performance improvements, Establish standards for optimization, Tackle performance challenges, Address architectural complexity, Solve critical business problems, Solve critical technical problems, Drive design of performance solutions, Drive implementation of performance solutions, Drive delivery of performance solutions, Establish understanding of new SoCs, Establish understanding of new GPUs, Establish understanding of AI accelerators, Derive guidelines for utilization, Influence hardware selection decisions, Set standard for engineering excellence, Create mechanisms for performance measurement, Create tools for performance analysis, Create processes for optimization, Align teams toward strategies, Align teams toward decisions, Drive adoption of optimization approaches, Drive adoption of optimization concepts, Drive adoption of optimization paradigms, Lead technical reviews, Guide career growth of engineers, Mentor senior engineers, Develop performance leaders, Participate in promotion assessments, Grow Principal community, Write critical-path code, Design zero-overhead libraries, Design portable libraries, Prototype solutions", "teamCollaboration" : "Across multiple teams; Across organizations", "projectManagementSkills" : [ "Technical roadmaps", "Development plans" ], "domainKnowledge" : "ML Inference; ML Training; Distributed Systems; Low-level Systems; AI Infrastructure; High-performance Computing; ML Lifecycle; Frontier Models; Compute Platforms; AI Accelerators", "domainList" : [ "ml-inference", "ml-training", "distributed-systems", "low-level-systems", "ai-infrastructure", "high-performance-computing", "ml-lifecycle", "frontier-models", "compute-platforms", "ai-accelerators" ], "domainSpecificKnowledge" : [ "ML Inference", "ML Training", "Distributed Systems", "Low-level Systems", "AI Infrastructure", "High-performance Computing", "ML Lifecycle", "Frontier Models", "Compute Platforms", "AI Accelerators" ], "toolProficiency" : [ "Nvidia PTX" ], "communicationSkills" : "Technical reviews", "innovationCreativity" : "Invent novel approaches; Prototype solutions", "problemSolvingSkills" : "Performance analysis; Root cause analysis; Troubleshooting", "outcomesObjectives" : "Achieve 10x performance improvements; Deliver order-of-magnitude improvements", "qualificationsBasic" : "10+ years software development, Expert C/C++ proficiency, Expert low-level systems programming, Proven order-of-magnitude performance improvements, Extensive CUDA programming, Extensive GPU architecture knowledge, Extensive assembly-level optimization, Extensive kernel development, Lead organization-level technical initiatives, Build consensus on technical decisions, Drive architectural strategy, Define technical roadmaps, Conduct performance analysis, Resource budgeting, Translate system analysis into plans", "qualificationsPreferred" : "Master's degree or higher, 15+ years performance engineering, Optimize ML inference workloads, Optimize ML training workloads, Deep expertise multiple hardware architectures, Quickly master new hardware platforms, Develop portable high-performance libraries, Develop high-performance tools, Develop high-performance frameworks, Lead large-scale optimization initiatives, Coordinate performance engineering efforts, Establish deep understanding complex systems, Create performance measurement tools, Create performance analysis tools, Entrepreneurial experience, Startup founding experience, CTO role experience, Drive technical vision in product development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an exceptional Principal Engineer specializing in ML Systems, training, and inference optimization to lead our technical strategy and implementation for next-generation AI performance at scale. This role requires deep expertise in performance engineering, distributed systems architecture, low-level systems optimization, and the ability to drive technical excellence across multiple teams. You will set the technical direction for kernel-level optimizations, define architectural strategies for heterogeneous compute platforms, architect multi-GPU and multi-node training systems, and lead the delivery of solutions that fundamentally change how AWS serves ML training and inference workloads. As a Principal Engineer in DS3, you will be a key technical leader responsible for organization-level architecture and performance strategy spanning the entire ML lifecycle—from distributed training of frontier models to high-throughput inference serving. You will work at the lowest levels of the software stack—defining standards for CUDA kernel development, optimizing assembly-level code (e.g. Nvidia PTX code), architect cross-platform acceleration strategies including GPUs and AWS Neuron, designing efficient multi-node communication patterns, and inventing novel approaches to achieve 10× or greater performance improvements. Your work will directly influence AWS's competitive position in AI infrastructure and set the standard for ML systems engineering across the industry. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Key job responsibilities Technical Strategy & Vision: Define and drive the technical strategy and architectural roadmap for ML inference and training optimization across multiple teams within your organization. Bring systems architecture and performance engineering context to strategic business decisions. Cross-Platform Performance Leadership: Lead the design and architecture of kernel-level optimizations spanning NVIDIA GPUs, AWS Inferentia/Trainium, and emerging AI accelerators. Establish standards and best practices for low-level optimization across the organization. Intrinsically Hard Problems: Tackle the most difficult performance challenges—endemic bottlenecks, architectural complexity that prevents innovation, and critical business/technical problems requiring order-of-magnitude improvements (10× or greater). Systems-Level Innovation: Drive the design, implementation, and delivery of performance solutions at the program level that address significantly large or endemic customer and business problems across your organization and potentially others. Hardware-Software Co-Design: Establish deep understanding of new SoCs, GPUs, and AI accelerators; derive guidelines for optimal utilization and influence hardware selection decisions based on facts-driven analysis and resource budgeting. Technical Excellence & Force Multiplication: Set the standard for engineering excellence in your organization. Create mechanisms, tools, and processes that enable performance measurement, analysis, and optimization at scale across multiple teams. Organization-Level Influence: Align teams across your organization toward coherent performance strategies and architectural decisions. Drive adoption of new optimization approaches, concepts, and paradigms. Lead the most important and complex technical reviews. Team Development: Guide the career growth of senior engineers in your organization. Mentor and develop the next generation of performance engineering leaders. Participate in Principal promotion assessments and help grow the Principal Engineering community. Hands-On Technical Leadership: Remain a practitioner—personally writing critical-path code, designing zero-overhead portable libraries, and prototyping solutions that inform technical direction for your organization. About the team Deep Science for Systems and Services (DS3) is a science organization within AWS Compute & ML Services focused on advancing AI/ML technologies at the systems level. Our team works at the intersection of machine learning and high-performance computing, developing optimizations for large model inference across diverse hardware platforms. We push the boundaries of what's possible in ML inference performance, working directly with CUDA, AWS Neuron, and other low-level compute abstractions to deliver order-of-magnitude performance improvements and industry-leading cost-performance for AWS customers deploying AI at scale. About AWS Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: 10+ years of software development experience with demonstrated progression in technical leadership and impact. Expert-level proficiency in C/C++ and low-level systems programming with proven track record of delivering order-of-magnitude (10× or greater) performance improvements in production systems. Extensive experience with CUDA programming, GPU architecture, assembly-level optimization (e.g., Nvidia PTX), and kernel development across multiple hardware platforms. Demonstrated ability to lead organization-level technical initiatives spanning multiple teams, building consensus on contentious technical decisions and driving architectural strategy. Experience defining technical roadmaps, conducting performance analysis and resource budgeting, and translating system analysis into strategic development plans. Preferred Qualifications: Master's degree (or higher) in Computer Science, Computer Engineering, or related technical field with 15+ years of performance engineering experience. Experience optimizing ML inference and/or training workloads (LLMs, Transformers, CNNs) across diverse hardware: GPUs, AWS Neuron/Inferentia, and other accelerators. Deep expertise across multiple hardware architectures and platforms (x86, ARM, multiple GPU generations, SoCs, custom accelerators) with ability to quickly master new hardware platforms. Track record of developing portable, high-performance libraries, tools, or frameworks used across engineering organizations or open-source projects with significant adoption. Experience leading large-scale optimization initiatives or coordinating performance engineering efforts across multiple teams and organizations. Proven ability to establish deep understanding of complex systems and create performance measurement/analysis tools that provide critical insights for organization-wide use. Entrepreneurial experience including startup founding, CTO role, or driving technical vision in product development environments. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Principal Engineer - Systems for ML Inference and Training Optimization at Amazon Web Services Development Center Germany GmbH. Skills: ML Systems, Performance Engineering, Distributed Systems, Low-level Optimization. Define technical strategy. Drive architectural roadmap", "postedDate" : "2026-06-12T23:36:47.258", "createdAt" : "2026-06-12T23:36:47.258", "lastUpdated" : "2026-06-15T01:40:04.438", "ingestTimestamp" : "2026-06-12T23:36:47.258", "mongoId" : "69164da470f0b99d586f316c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3123072/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Kernel development", "Assembly-level code optimization", "Multi-GPU systems design", "Heterogeneous compute architecture", "Distributed training optimization", "High-throughput inference serving", "Low-level software optimization", "Zero-overhead libraries design", "Portable libraries design", "Leadership", "Mentoring", "ML Systems", "Performance Engineering", "Distributed Systems", "Low-level Optimization", "Performance engineering", "Systems architecture", "Low-level optimization", "Technical strategy", "Cross-platform acceleration", "Hardware-software co-design", "Resource budgeting", "Performance measurement", "Performance analysis", "Performance optimization", "Technical roadmaps", "Development plans", "ML Inference", "ML Training", "Low-level Systems", "AI Infrastructure", "High-performance Computing", "ML Lifecycle", "Frontier Models", "Compute Platforms", "AI Accelerators", "Nvidia PTX" ], "skillCount" : 37, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ec03e74d8ee00a0e9ddb6", "title" : "Network Platform Architect", "company" : "Takeda Pharmaceuticals USA, Inc.", "industry" : "Pharma", "salary" : { "min" : 175053.0, "max" : 215270.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Boston, MA", "locations" : [ "Boston, MA", "United States of America" ], "timestamp" : "2026-06-16T02:29:14.645", "fingerprint" : "888282a5db69958c4317641881827e8d727d707c8fd4036d97d998ee692b9e0c", "source" : "workday", "language" : "en", "applyUrl" : "https://takeda.wd3.myworkdayjobs.com/External/job/Boston-MA/Network-Platform-Architect_R0181884", "externalId" : "R0181884", "industryFunction" : { }, "locationPoint" : "7.87111,126.36417", "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Cisco, Fortinet, Palo Alto networks, BGP, OSPF, Application-aware Routing, VPNs, F5 Big-IP, SD-WAN", "professionalSkills" : [ "Platform adoption", "Design authority", "Reference architecture", "Network engineering", "Security engineering", "Product management", "Requirements analysis", "Platform development", "Platform configuration", "Platform testing", "Platform debugging", "Platform integration", "Network traffic analysis", "Network performance analysis", "Lifecycle improvements", "Problem solving", "Management framework" ], "hardSkillsList" : [ "Network design", "Security design", "Network implementation", "Security implementation", "Network troubleshooting", "Network maintenance", "Traffic analysis", "Performance analysis" ], "softSkillsList" : [ "Leadership", "Influence" ], "hardSkills" : [ { "name" : "Network design", "level" : "intermediate" }, { "name" : "Security design", "level" : "intermediate" }, { "name" : "Network implementation", "level" : "intermediate" }, { "name" : "Security implementation", "level" : "intermediate" }, { "name" : "Network troubleshooting", "level" : "intermediate" }, { "name" : "Network maintenance", "level" : "intermediate" }, { "name" : "Traffic analysis", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Influence" } ], "majorSkills" : "Network Platform Architecture, IT Strategy, Patient Engagement, Network Security", "majorSkillsList" : [ "Network Platform Architecture", "IT Strategy", "Patient Engagement", "Network Security" ], "coreResponsibilities" : "Lead PEP IT Strategy formulation, Drive PEP adoption, Maintain design authority, Align use cases, Align regional concerns, Optimize platform, Reuse platform, Lead reference architecture development, Lead reference architecture maintenance, Lead design development, Lead design maintenance, Lead engineering development, Lead engineering maintenance, Lead blueprints development, Lead blueprints maintenance, Lead standards development, Lead standards maintenance, Lead product management development, Lead product management maintenance, Direct network platform implementation, Direct network platform maintenance, Direct security platform implementation, Direct security platform maintenance, Direct staff requirements analysis, Direct staff design, Direct staff development, Direct staff implementation, Direct platform development, Direct platform configuration, Deliver platforms, Configure platforms, Test platforms, Debug platforms, Document platforms, Integrate platforms, Implement network equipment, Support network equipment, Manage networks, Troubleshoot network issues, Analyze network traffic, Analyze network performance, Implement lifecycle improvements, Lead IT engineering teams, Lead operations teams, Solve PEP environment problems, Report PEP environment state, Report PEP environment direction, Bring global instances under framework, Support agile product teams", "teamCollaboration" : "Cross-functional teams; Project teams; Agile product teams", "projectManagementSkills" : [ "On-time delivery", "On-budget delivery" ], "domainKnowledge" : "Patient engagement capabilities; Network security platforms; Routing protocols; Global instances management", "domainList" : [ "patient-engagement-capabilities", "network-security-platforms", "routing-protocols", "global-instances-management" ], "domainSpecificKnowledge" : [ "Patient engagement capabilities", "Network security platforms", "Routing protocols", "Global instances management" ], "toolProficiency" : [ "Fortinet SD-WAN", "FortiManager", "FortiAnalyzer", "Palo Alto firewalls", "Palo Alto Panorama", "Cisco Routers", "Cisco Switches", "F5 Big-IP" ], "communicationSkills" : "Report to leaders", "documentationSkills" : "Platform documentation", "continuousLearning" : "Tuition reimbursement", "innovationCreativity" : "Digital innovation goals", "problemSolvingSkills" : "Troubleshooting; Problem solving", "specialRequirements" : "Up to 10% travel, Domestic travel, International travel", "qualificationsBasic" : "Bachelor's degree in Computer Science, 5 years of related work experience, Prepare and review HLDs, Prepare and review LLDs, Design network plan, Design network architecture, Implement network architecture, Design security architecture, Implement security architecture, Lead network infrastructure upgrades, Lead network infrastructure migrations, Analyze network issues, Diagnose network issues, Hands-on experience Fortinet SD-WAN, Hands-on experience FortiManager, Hands-on experience FortiAnalyzer, Hands-on experience Palo Alto firewalls, Hands-on experience Palo Alto Panorama, Hands-on experience Cisco Routers, Hands-on experience Cisco Switches, Hands-on experience BGP, Hands-on experience OSPF, Hands-on experience Application-aware Routing, Hands-on experience VPNs, Hands-on experience F5 Big-IP", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s [Privacy Notice](https://jobs.takeda.com/privacynotice) and [Terms of Use](https://www.takeda.com/terms-and-conditions/). I further attest that all information I submit in my employment application is true to the best of my knowledge. ## **Job Description** Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Pharmaceuticals USA, Inc. for the following job opportunity: **JOB LOCATION:** Cambridge, MA **POSITION** : Network Platform Architect **POSITION DESCRIPTION** : Takeda Pharmaceuticals USA, Inc. is seeking a Network Platform Architect with the following duties: Lead the formulation of PEP related IT Strategy, with a strong focus on Takeda strategic digital innovation goals by maturing Takeda patient engagement capabilities. Drive PEP adoption, while maintaining design authority to align use cases and regional concerns to an optimized, reusable platform. Lead and influence the development and maintenance of reference architecture, design, engineering, blueprints, standards, and product management. Direct effort to plan all activities associated with implementation and maintenance of network and security platforms. Direct the effort of staff engineers/developers on requirements, analysis, design, development, and implementation of platforms and their components. Direct the development and configuration with project teams to deliver platforms from conceptualization through stabilization, covering configuration, testing, debugging, and documentation, while ensuring proper integration and on-time, on-budget delivery. Implementing and supporting network equipment, including routers, switches, SD-WAN devices, and firewalls, with expertise in Cisco, Fortinet and Palo Alto networks technologies. Provide hands-on management of the networks and troubleshooting any issues that arise. Analyze network traffic and performance to determine and implement lifecycle related improvements. Lead IT engineering and operations teams to solve problems in the overall PEP environment, specific to business use cases. From time to time, report on the state and direction of Takeda PEP environments to technology and business leaders. Bring all global instances of patient experience platform under a common management and operations framework while supporting the needs and differences of agile product teams. Up to 10% domestic and international travel required for physical implementation of network and security devices at remote locations. Up to 75% remote work allowed. The estimated salary range reflects an anticipated range for this position. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. **REQUIREMENTS:** Bachelor’s degree in Computer Science or related field, plus 5 years of related work experience. Prior experience must include: prepare and review high-level designs (HLDs), low-level designs (LLDs) for network architectures; plan, design and implement network and security architecture in on-premises environments; lead network infrastructure upgrades and migrations projects; analyze and diagnose network issues, services outages; hands-on experience in the designing, implementation and troubleshooting of; Fortinet SD-WAN, FortiManager, FortiAnalyzer, Palo Alto firewalls, Palo Alto Panorama, Cisco Routers and Switches, routing protocols BGP, OSPF and Application-aware Routing, VPNs, F5 Big-IP. Full time. $175,053 - $215,270 per year. Qualified applicants can apply at [https://jobs.takeda.com](https://jobs.takeda.com/). Please reference job # R0181884. EOE Any individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210. ## **Locations** Boston, MA ## **Worker Type** Employee ## **Worker Sub-Type** Regular ## **Time Type** Full time", "summaryDescription" : "Network Platform Architect at Takeda Pharmaceuticals USA, Inc.. Skills: Network Platform Architecture, IT Strategy, Patient Engagement, Network Security. Lead PEP IT Strategy formulation. Drive PEP adoption", "postedDate" : "2026-06-12T21:02:20.297", "createdAt" : "2026-06-14T21:02:20.248", "lastUpdated" : "2026-06-16T02:29:14.645", "ingestTimestamp" : "2026-06-14T21:02:20.248", "mongoId" : "6a2ec03e74d8ee00a0e9ddb6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://takeda.wd3.myworkdayjobs.com/External/job/Boston-MA/Network-Platform-Architect_R0181884", "salaryAnnualMin" : 175053, "salaryAnnualMax" : 215270, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Network design", "Security design", "Network implementation", "Security implementation", "Network troubleshooting", "Network maintenance", "Traffic analysis", "Performance analysis", "Leadership", "Influence", "Network Platform Architecture", "IT Strategy", "Patient Engagement", "Network Security", "Platform adoption", "Design authority", "Reference architecture", "Network engineering", "Security engineering", "Product management", "Requirements analysis", "Platform development", "Platform configuration", "Platform testing", "Platform debugging", "Platform integration", "Network traffic analysis", "Network performance analysis", "Lifecycle improvements", "Problem solving", "Management framework", "On-time delivery", "On-budget delivery", "Patient engagement capabilities", "Network security platforms", "Routing protocols", "Global instances management", "Fortinet SD-WAN", "FortiManager", "FortiAnalyzer", "Palo Alto firewalls", "Palo Alto Panorama", "Cisco Routers", "Cisco Switches", "F5 Big-IP" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e3ce260f92cbf8eb3b", "title" : "Sr. Physical Design Engineer - Full Chip, Hardware Compute Group", "company" : "ADCI", "industry" : "Hardware Development, ASIC, alexa and amazon devices", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Physical Design Engineer in Bengaluru, India, adjusted for the technology industry and senior experience level." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T04:09:16.413", "fingerprint" : "b53e707ee6ea48b32fbc3d49f08ccca6d27514ff8cf5ac7382be3501c2b614d7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100019/apply", "externalId" : "4561aafd-5bc6-4729-bace-caa8e5577fbb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Perl, Python, Tcl, Shell, Fusion Compiler, Design Compiler, ICC2, Innovus, Primetime, Tempus", "professionalSkills" : [ "Physical design", "Timing closure", "Reliability verification", "Floorplan optimization", "Chip integration", "Power grid generation", "Interconnect planning", "Design for testability" ], "hardSkillsList" : [ "I/O planning", "Bump planning", "RDL planning", "Hard IP integration", "Partitioning", "Pin planning", "Feedthrough planning", "Repeater insertion", "Power grid generation", "Interface planning", "Interconnect planning", "Bus routing", "Sequential pipeline planning", "Top-level design", "FEV", "LVS", "DRC", "IR drop analysis" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "I/O planning", "level" : "intermediate" }, { "name" : "Bump planning", "level" : "intermediate" }, { "name" : "RDL planning", "level" : "intermediate" }, { "name" : "Hard IP integration", "level" : "intermediate" }, { "name" : "Partitioning", "level" : "intermediate" }, { "name" : "Pin planning", "level" : "intermediate" }, { "name" : "Feedthrough planning", "level" : "intermediate" }, { "name" : "Repeater insertion", "level" : "intermediate" }, { "name" : "Power grid generation", "level" : "intermediate" }, { "name" : "Interface planning", "level" : "intermediate" }, { "name" : "Interconnect planning", "level" : "intermediate" }, { "name" : "Bus routing", "level" : "intermediate" }, { "name" : "Sequential pipeline planning", "level" : "intermediate" }, { "name" : "Top-level design", "level" : "intermediate" }, { "name" : "FEV", "level" : "intermediate" }, { "name" : "LVS", "level" : "intermediate" }, { "name" : "DRC", "level" : "intermediate" }, { "name" : "IR drop analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Physical Design, Timing Closure, SOC Design", "majorSkillsList" : [ "Physical Design", "Timing Closure", "SOC Design" ], "coreResponsibilities" : "Collaborate with architecture teams, Collaborate with timing teams, Collaborate with logic design teams, Perform I/O planning, Perform bump planning, Perform RDL planning, Perform hard IP integration, Perform partitioning, Perform pin planning, Perform feedthrough planning, Perform repeater insertion, Perform power grid generation, Perform interface planning, Perform interconnect planning, Perform bus routing, Perform sequential pipeline planning, Perform top-level design for testability, Drive FC methodology improvements, Optimize floorplan, Coordinate collateral handoffs, Drive physical design, Drive timing closure, Perform FEV, Perform LVS, Perform DRC, Perform reliability verification, Supervise engineers, Mentor engineers", "teamCollaboration" : "Cross-functional teams; Multiple sites", "domainKnowledge" : "Semiconductor implementation; ML accelerator; Silicon IP; SOC design; Redistribution layer; Design for testability; Formal equivalence; DFT flows; DFM flows", "domainList" : [ "semiconductor-implementation", "ml-accelerator", "silicon-ip", "soc-design", "redistribution-layer", "design-for-testability", "formal-equivalence", "dft-flows", "dfm-flows" ], "domainSpecificKnowledge" : [ "Semiconductor implementation", "ML accelerator", "Silicon IP", "SOC design", "Redistribution layer", "Design for testability", "Formal equivalence", "DFT flows", "DFM flows" ], "toolProficiency" : [ "Fusion Compiler", "Design Compiler", "ICC2", "Innovus", "Primetime", "Tempus", "Cadence Conformal", "Synopsys Formality" ], "communicationSkills" : "Communication skills", "innovationCreativity" : "Innovate on behalf of customers; Continue to innovate", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Bachelor’s degree or higher, 10+ years semiconductor implementation experience, Scripting experience, Proficiency in chip implementation tools, Good communication skills, Analytical skills, Ability to work closely with teams", "qualificationsPreferred" : "MS/PhD degree, Experience with memory compiler, Experience with formal equivalence, In depth knowledge of entire design process, Experience with DFT and DFM flows", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The team that built the innovative Silicon IP AZ1 Neural Edge that is powering the latest generation of Echo devices is looking for a Sr. Physical Design Engineer to continue to innovate on behalf of our customers. We are a part of Amazon Lab126 that revolutionized reading with our Kindle family of products and reimagined user experience through Echo and Alexa. We want you to help us build on the success of our first generation of ML accelerator at edge. Work hard. Have fun. Make history. Roles & Responsibilities: - Collaborate with architecture, timing, and logic design teams making a crucial impact on delivering cutting edge & Low power SOCs. - Perform I/O, bump & RDL (redistribution layer) planning, hard IP integration, partitioning, pin and feedthrough planning, repeater insertion, power grid generation. - Perform special interface, and interconnect planning, bus routing, sequential pipeline planning and top-level design for testability (DFT). - Be responsible for driving efficiency and quality improvements to the overall FC methodology - including floorplan optimization for better utilization/QoR/runtime and timing and physical aware feedthrough/pin placement. - Be responsible for coordinating collateral handoffs between the FC Design team and other functions within back-end design such as Clocking, Power Delivery and Partition synthesis/APR. - Drive physical design and timing closure including FEV, LVS, DRC, and reliability verification (IR drop / EM analysis). - Supervise and mentor other engineers Basic Qualifications: - Bachelor’s degree or higher in EE, CE, or CS - 10+ years or more of practical semiconductor implementation experience - Scripting experience with Perl, Python, tcl, shell and drive to automate flows - Proficiency in chip front-end and back-end implementation tools such as Fusion compiler, Design Compiler, ICC2 or Innovus and Primetime, Tempus - Must have good communication and analytical skills. - Should be able to work closely with IP Design teams and Backend Physical Design teams across multiple sites. Preferred Qualifications: - MS/PhD in Computer Science, Electrical Engineering, or related field - Experience with memory compiler - Experience with formal equivalence – Cadence Conformal/Synopsys Formality - Have in depth knowledge of entire design process from Design specification, defining architecture, micro-architecture, RTL design and functional verification - Experience with DFT and DFM flows Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Sr. Physical Design Engineer - Full Chip, Hardware Compute Group at ADCI. Skills: Physical Design, Timing Closure, SOC Design. Collaborate with architecture teams. Collaborate with timing teams", "postedDate" : "2026-06-13T08:38:35.072", "createdAt" : "2026-06-13T08:38:35.072", "lastUpdated" : "2026-06-15T04:09:16.413", "ingestTimestamp" : "2026-06-13T08:38:35.072", "mongoId" : "68e0a7e3ce260f92cbf8eb3b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100019/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "I/O planning", "Bump planning", "RDL planning", "Hard IP integration", "Partitioning", "Pin planning", "Feedthrough planning", "Repeater insertion", "Power grid generation", "Interface planning", "Interconnect planning", "Bus routing", "Sequential pipeline planning", "Top-level design", "FEV", "LVS", "DRC", "IR drop analysis", "Mentoring", "Physical Design", "Timing Closure", "SOC Design", "Physical design", "Timing closure", "Reliability verification", "Floorplan optimization", "Chip integration", "Design for testability", "Semiconductor implementation", "ML accelerator", "Silicon IP", "SOC design", "Redistribution layer", "Formal equivalence", "DFT flows", "DFM flows", "Fusion Compiler", "Design Compiler", "ICC2", "Innovus", "Primetime", "Tempus", "Cadence Conformal", "Synopsys Formality" ], "skillCount" : 44, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a191e7758b93c861e39f853", "title" : "Principal EE Architect (System & Hardware)", "company" : "Mercedes-Benz Digital Tech Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 275000.0, "max" : 450000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Principal EE Architect (System & Hardware) in the United States, adjusted for executive seniority and the automotive industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "China (Mainland)-Shanghai-Shanghai", "Xingchi Tower, No. 399, Keqiao Road, , Jinqiao, Pudong, Shanghai" ], "timestamp" : "2026-06-16T02:34:43.147", "fingerprint" : "381e19595abde04e4ae79528b44bb9559dd10239e461acddffb9ee9e849880ad", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=881046", "externalId" : "881046", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "System design, Hardware design, E/E architecture, CAN/CAN FD, LIN, Automotive Ethernet, TSN, Microprocessors, Power management, AUTOSAR, SOA", "professionalSkills" : [ "System-level design", "Hardware requirements", "Interface specifications", "Power budget planning", "Decision recommendations", "Architecture governance", "Roadmaps", "KPIs", "Integration", "Interoperability", "Supplier selection", "Electrical systems", "Circuit protection", "Load calculation", "Hardware/software interface" ], "hardSkillsList" : [ "Vehicle power distribution", "Grounding strategies", "EDD development", "Signal integrity", "EMC" ], "hardSkills" : [ { "name" : "Vehicle power distribution", "level" : "intermediate" }, { "name" : "Grounding strategies", "level" : "intermediate" }, { "name" : "EDD development", "level" : "intermediate" }, { "name" : "Signal integrity", "level" : "intermediate" }, { "name" : "EMC", "level" : "intermediate" } ], "majorSkills" : "E/E Architecture, System Design, Hardware Requirements", "majorSkillsList" : [ "E/E Architecture", "System Design", "Hardware Requirements" ], "coreResponsibilities" : "Define E/E architecture blueprint, Translate intent into hardware requirements, Lead technology selection, Lead supplier selection, Provide decision recommendations, Establish architecture governance, Establish roadmaps, Establish KPIs, Drive integration of computing patterns, Secure cross domain interoperability, Align design principles with HQ, Close gaps with HQ, Champion China EEA design, Lead system-level definition, Define functional partitioning, Define interface specifications, Define power budget planning, Promote EEA solution to Management, Design power distribution architecture, Design power supply architecture, Cover conventional power, Cover sleep/wake-up modes, Cover fault-tolerant power supply, Conduct top-level design, Define cable specifications, Define fuse/relay, Define physical layer, Define topology of network, Ensure signal integrity, Ensure electromagnetic compatibility, Create Hardware Interface Specification, Maintain Hardware Interface Specification, Detail electrical interfaces, Detail communication interfaces, Detail power interfaces, Engage with HQ EEA team, Promote integration of China's architecture, Promote recognition of China's architecture", "teamCollaboration" : "Aligning with Software Architecture; Aligning with Powertrain; Aligning with Chassis; Aligning with Body; Aligning with Thermal; Aligning with Cockpit/Intelligent Driving; Aligning with execution teams; Counterpart to HQ EEA team", "projectManagementSkills" : [ "Roadmaps", "KPIs" ], "domainKnowledge" : "Hardware-defined vehicle; Domain architecture; Zonal architecture; Central computing units; Zonal controllers; In-vehicle networking; Vehicle power distribution; Grounding strategies; Circuit protection; AUTOSAR Classic; AUTOSAR Adaptive; Service-Oriented Architecture", "domainList" : [ "hardware-defined-vehicle", "domain-architecture", "zonal-architecture", "central-computing-units", "zonal-controllers", "in-vehicle-networking", "vehicle-power-distribution", "grounding-strategies", "circuit-protection", "autosar-classic", "autosar-adaptive", "service-oriented-architecture" ], "domainSpecificKnowledge" : [ "Hardware-defined vehicle", "Domain architecture", "Zonal architecture", "Central computing units", "Zonal controllers", "In-vehicle networking", "Vehicle power distribution", "Grounding strategies", "Circuit protection", "AUTOSAR Classic", "AUTOSAR Adaptive", "Service-Oriented Architecture" ], "toolProficiency" : [ "Enterprise Architect", "PREEvision", "CANoe" ], "documentationSkills" : "Hardware Interface Specification", "problemSolvingSkills" : "Structured decision recommendations", "outcomesObjectives" : "End to end consistency; Scalable solutions; Future proof solutions; Accelerating China competitiveness", "qualificationsBasic" : "Master's degree or above, Over 10 years of experience, Full-cycle leadership in 2+ vehicle programs", "remoteFriendly" : false, "rawDescription" : "Objective of Job: We are seeking a highly visionary E/E Architecture Expert with profound expertise in system-level design and hardware-defined vehicle principles. You will serve as the principal Architect to define and steward China’s E/E architecture blueprint, aligning closely with Software Architecture, Powertrain, Chassis, Body, Thermal, and Cockpit/Intelligent Driving teams. You will translate system-level intent into clear, testable hardware requirements and interface contracts, ensuring end to end consistency across execution teams. You will lead key technology and supplier selection, and provide structured decision recommendations balancing performance, cost, and lifecycle. You will establish China EEA architecture governance, roadmaps, and KPIs, drive integration of central/zone computing patterns, and secure cross domain interoperability. Acting as the primary counterpart to HQ EEA team, you will proactively align design principles, close gaps, and champion the fusion and recognition of China EEA design in global programs, enabling scalable, future proof solutions and accelerating China for China competitiveness. Task Description: Lead the system-level definition of hardware components (e.g., DCU, ZCU, various ECUs) within a zonal-based vehicle E/E architecture, including functional partitioning, interface specifications, and power budget planning , lead China HW and system EEA Framework, promote EEA solution to Management team; Responsible for designing the vehicle’s power distribution and supply architecture, covering conventional power, sleep/wake-up modes, and fault-tolerant power supply. Conduct top-level design for power paths, cable specifications, fuse/relay selection; Define the physical layer and topology of the in-vehicle network (e.g., Ethernet PHY, switch layout, CAN/CAN FD network), ensuring signal integrity and electromagnetic compatibility (EMC); Create and maintain the Hardware Interface Specification (HIS) for the entire vehicle, detailing electrical interfaces (e.g., GPIO, PWM, ADC/DAC), communication interfaces and power interfaces between hardware components; Actively engage with the Mercedes-Benz HQ EEA team to promote integration and recognition of China’s E/E architecture design . Education : Master’s degree or above in Electrical Engineering, Automotive Engineering, Automation, Computer Science, or related fields. Experience: Over 10 years of experience in automotive E/E architecture development, with full-cycle leadership in at least two mass-production vehicle programs. Technical Expertise: Proficient in centralized E/E architecture with deep understanding and hands-on experience in domain and zonal architecture Familiar with central computing units and zonal controllers design principles Expert in in-vehicle networking, with in-depth knowledge of CAN/CAN FD, LIN, Automotive Ethernet (100/1000BASE-T1, TSN), and network design Strong understanding of electrical systems, including vehicle power distribution, grounding strategies, circuit protection, load calculation, and EDD (Electrical Design Document) development Skilled in hardware/software interface design, with solid hardware knowledge in microprocessors, power management, EMC, and deep understanding of AUTOSAR (Classic/Adaptive) and Service-Oriented Architecture (SOA) Proficient in architecture and network development tools such as EA (Enterprise Architect), PREEvision, CANoe Mercedes-Benz Digital Tech Ltd.", "summaryDescription" : "Principal EE Architect (System & Hardware) at Mercedes-Benz Digital Tech Ltd.. Skills: E/E Architecture, System Design, Hardware Requirements. Define E/E architecture blueprint. Translate intent into hardware requirements", "createdAt" : "2026-06-14T19:11:33.201", "lastUpdated" : "2026-06-16T02:34:43.147", "ingestTimestamp" : "2026-06-14T19:11:33.201", "mongoId" : "6a191e7758b93c861e39f853", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 275000, "salaryAnnualMax" : 450000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Vehicle power distribution", "Grounding strategies", "EDD development", "Signal integrity", "EMC", "E/E Architecture", "System Design", "Hardware Requirements", "System-level design", "Hardware requirements", "Interface specifications", "Power budget planning", "Decision recommendations", "Architecture governance", "Roadmaps", "KPIs", "Integration", "Interoperability", "Supplier selection", "Electrical systems", "Circuit protection", "Load calculation", "Hardware/software interface", "Hardware-defined vehicle", "Domain architecture", "Zonal architecture", "Central computing units", "Zonal controllers", "In-vehicle networking", "AUTOSAR Classic", "AUTOSAR Adaptive", "Service-Oriented Architecture", "Enterprise Architect", "PREEvision", "CANoe" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.98 }, { "id" : "6a16291c58b93c861e95a16b", "title" : "Architect for Social Infrastructure", "company" : "HDR", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Architect role in London, adjusted for mid-seniority and the technology industry." }, "location" : "United Kingdom-England-London", "locations" : [ "United Kingdom-England-London" ], "certifications" : [ "Registered Architect" ], "timestamp" : "2026-06-15T05:08:52.818", "fingerprint" : "f604d1cc377fda2aea4105d61221ffd9dd04350693c0410d7d8543968193b97d", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=757869", "externalId" : "757869", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Autodesk Revit", "professionalSkills" : [ "Graphic presentation", "Specification writing" ], "hardSkillsList" : [ "Data Centre projects", "Building contracts", "Architectural documents", "Building regulations" ], "softSkillsList" : [ "Communication skills", "Analytical skills", "Problem-solving skills" ], "hardSkills" : [ { "name" : "Data Centre projects", "level" : "intermediate" }, { "name" : "Building contracts", "level" : "intermediate" }, { "name" : "Architectural documents", "level" : "intermediate" }, { "name" : "Building regulations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" }, { "name" : "Analytical skills" }, { "name" : "Problem-solving skills" } ], "majorSkills" : "Architecture, Data Centre projects, Autodesk Revit", "majorSkillsList" : [ "Architecture", "Data Centre projects", "Autodesk Revit" ], "coreResponsibilities" : "Prepare architectural contract documents, Layout architectural contract documents, Write architectural specifications", "teamCollaboration" : "Employee-owned culture participation", "projectManagementSkills" : [ "Project Schedule" ], "domainKnowledge" : "Data Centre projects; Building regulations", "domainList" : [ "data-centre-projects", "building-regulations" ], "domainSpecificKnowledge" : [ "Data Centre projects", "Building regulations" ], "toolProficiency" : [ "Microsoft Word", "Microsoft Excel", "Microsoft Project Schedule", "Autodesk Revit" ], "communicationSkills" : "Written communication; Communication skills", "documentationSkills" : "Architectural contract documents; Specifications", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "qualificationsBasic" : "Bachelor's degree Architecture, 3+ years Data Centre projects, Registered Architect, Building contracts experience, Microsoft Office Suite, Autodesk Revit proficiency, Architectural contract documents, Building regulations knowledge", "qualificationsPreferred" : "Master's degree Architecture, Photoshop, Illustrator, SketchUp, 3-D Studio Max knowledge, Rhino and Grasshopper experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Requirements Bachelor's degree in Architecture or closely related field 3+ years’ experience of working with Data Centre projects is desirable. Registered Architect Understanding and experience of various building contracts Experience with Microsoft Office (Word, Excel, Project Schedule) Excellent written and communication skills Excellent analytical and problem-solving skills Proficient in use of Autodesk Revit and familiarity with related tools and process Demonstrated graphic presentation skills Must have experience in preparation and layout of architectural contract documents and specifications Strong knowledge of building regulations and good planning skills An attitude and commitment to being an active participant of our employee-owned culture is a must Preferred Qualifications Master's degree in Architecture Knowledge of Photoshop, Illustrator, SketchUp and 3-D Studio Max but not required Rhino and Grasshopper experience Why HDR At HDR, we know work isn't only about who you work for it's also about what you do and how you do it. Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions, and collaborate together to make great things possible. When you join HDR, we give you license to do the same. We help you take charge of your career, giving you multiple growth opportunities along the way. United Kingdom-England-London", "summaryDescription" : "Architect for Social Infrastructure at HDR. Skills: Architecture, Data Centre projects, Autodesk Revit. Prepare architectural contract documents. Layout architectural contract documents", "createdAt" : "2026-06-14T08:01:45.894", "lastUpdated" : "2026-06-15T05:08:52.818", "ingestTimestamp" : "2026-06-14T08:01:45.894", "mongoId" : "6a16291c58b93c861e95a16b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data Centre projects", "Building contracts", "Architectural documents", "Building regulations", "Communication skills", "Analytical skills", "Problem-solving skills", "Architecture", "Autodesk Revit", "Graphic presentation", "Specification writing", "Project Schedule", "Registered Architect", "Microsoft Word", "Microsoft Excel", "Microsoft Project Schedule" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "69ce5e3b9bc74574cb677af3", "title" : "Principal EE Architect (System & Hardware)", "company" : "Mercedes-Benz Digital Tech Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 6000000.0, "max" : 9000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Principal EE Architect in Bengaluru, India, adjusted for executive seniority and the automotive industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "China (Mainland)-Shanghai-Shanghai", "Xingchi Tower, No. 399, Keqiao Road, , Jinqiao, Pudong, Shanghai" ], "timestamp" : "2026-06-15T09:01:16.425", "fingerprint" : "3685552c5cdf8795738f51acfa5c5fcf9e9e254c61e645265dc3ebad02d91990", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=881046", "externalId" : "881046", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" }, { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Bengaluru, India; Pune, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "E/E Architecture, System-level design, Hardware requirements, Interface contracts, Power distribution, Power supply architecture, Sleep/wake-up modes, Fault-tolerant power, Power paths, Cable specifications, Fuse/relay definition, Physical layer design, Network topology, Ethernet PHY, Switch layout, CAN FD, CAN, LIN, Automotive Ethernet, Signal integrity, Electromagnetic compatibility, Electrical interfaces, GPIO, PWM, ADC/DAC, Communication interfaces, Power interfaces, Microprocessors, Power management, EMC, AUTOSAR, SOA", "professionalSkills" : [ "System design", "Hardware design", "Architecture blueprint", "Decision recommendations", "Architecture governance", "Roadmap planning", "KPI establishment", "Integration planning", "Cross domain interoperability", "Design principles alignment", "Functional partitioning", "Interface specifications", "Power budget planning", "HW system framework", "Solution promotion", "Network design", "Circuit protection", "Load calculation", "Hardware/software interface", "Architecture development" ], "hardSkillsList" : [ "System-level definition", "Hardware components definition", "Zonal-based architecture", "Power distribution design", "Power supply design", "Network physical layer", "Network topology design", "Signal integrity analysis", "EMC analysis", "Hardware interface specification", "Electrical interface specification", "Communication interface specification", "Power interface specification", "Microprocessor knowledge", "Power management knowledge", "EMC knowledge", "AUTOSAR knowledge", "SOA knowledge" ], "hardSkills" : [ { "name" : "System-level definition", "level" : "intermediate" }, { "name" : "Hardware components definition", "level" : "intermediate" }, { "name" : "Zonal-based architecture", "level" : "intermediate" }, { "name" : "Power distribution design", "level" : "intermediate" }, { "name" : "Power supply design", "level" : "intermediate" }, { "name" : "Network physical layer", "level" : "intermediate" }, { "name" : "Network topology design", "level" : "intermediate" }, { "name" : "Signal integrity analysis", "level" : "intermediate" }, { "name" : "EMC analysis", "level" : "intermediate" }, { "name" : "Hardware interface specification", "level" : "intermediate" }, { "name" : "Electrical interface specification", "level" : "intermediate" }, { "name" : "Communication interface specification", "level" : "intermediate" }, { "name" : "Power interface specification", "level" : "intermediate" }, { "name" : "Microprocessor knowledge", "level" : "intermediate" }, { "name" : "Power management knowledge", "level" : "intermediate" }, { "name" : "EMC knowledge", "level" : "intermediate" }, { "name" : "AUTOSAR knowledge", "level" : "intermediate" }, { "name" : "SOA knowledge", "level" : "intermediate" } ], "majorSkills" : "E/E Architecture, System-level design, Hardware design, In-vehicle networking", "majorSkillsList" : [ "E/E Architecture", "System-level design", "Hardware design", "In-vehicle networking" ], "coreResponsibilities" : "Define E/E architecture blueprint, Translate intent into hardware requirements, Ensure end to end consistency, Lead technology selection, Lead supplier selection, Provide decision recommendations, Balance performance, cost, lifecycle, Establish architecture governance, Establish roadmaps, Establish KPIs, Drive integration of computing patterns, Secure cross domain interoperability, Align design principles with HQ, Close gaps with HQ, Champion China EEA design, Enable scalable solutions, Enable future proof solutions, Accelerate China competitiveness, Lead system-level definition, Define hardware components, Partition functions, Specify interfaces, Plan power budget, Promote EEA solution, Design power distribution architecture, Design power supply architecture, Define power paths, Define cable specifications, Define fuse/relay, Define physical layer, Define network topology, Ensure signal integrity, Ensure electromagnetic compatibility, Create Hardware Interface Specification, Detail electrical interfaces, Detail communication interfaces, Detail power interfaces, Engage with HQ EEA team, Promote integration of China EEA", "teamCollaboration" : "Aligning with Software Architecture; Aligning with Powertrain; Aligning with Chassis; Aligning with Body; Aligning with Thermal; Aligning with Cockpit teams; Aligning with Intelligent Driving teams; Aligning with execution teams; Counterpart to HQ EEA team; Align with central computing; Align with zone computing", "projectManagementSkills" : [ "Roadmaps", "KPIs" ], "domainKnowledge" : "Hardware-defined vehicle; Zonal architecture; Central computing; Zone computing; In-vehicle network; Automotive Ethernet; TSN; AUTOSAR; Service-Oriented Architecture", "domainList" : [ "hardware-defined-vehicle", "zonal-architecture", "central-computing", "zone-computing", "in-vehicle-network", "automotive-ethernet", "tsn", "autosar", "service-oriented-architecture" ], "domainSpecificKnowledge" : [ "Hardware-defined vehicle", "Zonal architecture", "Central computing", "Zone computing", "In-vehicle network", "Automotive Ethernet", "TSN", "AUTOSAR", "Service-Oriented Architecture" ], "toolProficiency" : [ "EA", "PREEvision", "CANoe" ], "documentationSkills" : "Hardware Interface Specification", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Ensure end to end consistency; Accelerate China competitiveness", "qualificationsBasic" : "Master's degree or above, Over 10 years of experience, Full-cycle leadership, Centralized E/E architecture, Domain and zonal architecture, Central computing units design, Zonal controllers design principles, In-vehicle networking knowledge, Electrical systems knowledge, Vehicle power distribution knowledge, Grounding strategies knowledge, Circuit protection knowledge, Load calculation knowledge, EDD development knowledge, Hardware/software interface design, Microprocessors hardware knowledge, Power management hardware knowledge, EMC hardware knowledge, AUTOSAR knowledge, Service-Oriented Architecture knowledge", "qualificationsPreferred" : "Automotive Engineering degree, Automation degree, Computer Science degree, 100/1000BASE-T1 knowledge, TSN knowledge, Classic AUTOSAR knowledge, Adaptive AUTOSAR knowledge", "remoteFriendly" : false, "rawDescription" : "Objective of Job: We are seeking a highly visionary E/E Architecture Expert with profound expertise in system-level design and hardware-defined vehicle principles. You will serve as the principal Architect to define and steward China’s E/E architecture blueprint, aligning closely with Software Architecture, Powertrain, Chassis, Body, Thermal, and Cockpit/Intelligent Driving teams. You will translate system-level intent into clear, testable hardware requirements and interface contracts, ensuring end to end consistency across execution teams. You will lead key technology and supplier selection, and provide structured decision recommendations balancing performance, cost, and lifecycle. You will establish China EEA architecture governance, roadmaps, and KPIs, drive integration of central/zone computing patterns, and secure cross domain interoperability. Acting as the primary counterpart to HQ EEA team, you will proactively align design principles, close gaps, and champion the fusion and recognition of China EEA design in global programs, enabling scalable, future proof solutions and accelerating China for China competitiveness. Task Description: Lead the system-level definition of hardware components (e.g., DCU, ZCU, various ECUs) within a zonal-based vehicle E/E architecture, including functional partitioning, interface specifications, and power budget planning , lead China HW and system EEA Framework, promote EEA solution to Management team; Responsible for designing the vehicle’s power distribution and supply architecture, covering conventional power, sleep/wake-up modes, and fault-tolerant power supply. Conduct top-level design for power paths, cable specifications, fuse/relay selection; Define the physical layer and topology of the in-vehicle network (e.g., Ethernet PHY, switch layout, CAN/CAN FD network), ensuring signal integrity and electromagnetic compatibility (EMC); Create and maintain the Hardware Interface Specification (HIS) for the entire vehicle, detailing electrical interfaces (e.g., GPIO, PWM, ADC/DAC), communication interfaces and power interfaces between hardware components; Actively engage with the Mercedes-Benz HQ EEA team to promote integration and recognition of China’s E/E architecture design . Education : Master’s degree or above in Electrical Engineering, Automotive Engineering, Automation, Computer Science, or related fields. Experience: Over 10 years of experience in automotive E/E architecture development, with full-cycle leadership in at least two mass-production vehicle programs. Technical Expertise: Proficient in centralized E/E architecture with deep understanding and hands-on experience in domain and zonal architecture Familiar with central computing units and zonal controllers design principles Expert in in-vehicle networking, with in-depth knowledge of CAN/CAN FD, LIN, Automotive Ethernet (100/1000BASE-T1, TSN), and network design Strong understanding of electrical systems, including vehicle power distribution, grounding strategies, circuit protection, load calculation, and EDD (Electrical Design Document) development Skilled in hardware/software interface design, with solid hardware knowledge in microprocessors, power management, EMC, and deep understanding of AUTOSAR (Classic/Adaptive) and Service-Oriented Architecture (SOA) Proficient in architecture and network development tools such as EA (Enterprise Architect), PREEvision, CANoe Mercedes-Benz Digital Tech Ltd.", "summaryDescription" : "Principal EE Architect (System & Hardware) at Mercedes-Benz Digital Tech Ltd.. Skills: E/E Architecture, System-level design, Hardware design, In-vehicle networking. Define E/E architecture blueprint. Translate intent into hardware requirements", "createdAt" : "2026-06-14T02:46:06.149", "lastUpdated" : "2026-06-15T09:01:16.425", "ingestTimestamp" : "2026-06-14T02:46:06.149", "mongoId" : "69ce5e3b9bc74574cb677af3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "System-level definition", "Hardware components definition", "Zonal-based architecture", "Power distribution design", "Power supply design", "Network physical layer", "Network topology design", "Signal integrity analysis", "EMC analysis", "Hardware interface specification", "Electrical interface specification", "Communication interface specification", "Power interface specification", "Microprocessor knowledge", "Power management knowledge", "EMC knowledge", "AUTOSAR knowledge", "SOA knowledge", "E/E Architecture", "System-level design", "Hardware design", "In-vehicle networking", "System design", "Architecture blueprint", "Decision recommendations", "Architecture governance", "Roadmap planning", "KPI establishment", "Integration planning", "Cross domain interoperability", "Design principles alignment", "Functional partitioning", "Interface specifications", "Power budget planning", "HW system framework", "Solution promotion", "Network design", "Circuit protection", "Load calculation", "Hardware/software interface", "Architecture development", "Roadmaps", "KPIs", "Hardware-defined vehicle", "Zonal architecture", "Central computing", "Zone computing", "In-vehicle network", "Automotive Ethernet", "TSN", "AUTOSAR", "Service-Oriented Architecture", "EA", "PREEvision", "CANoe" ], "skillCount" : 55, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c753974d8ee00a093668f", "title" : "Technical Product Manager, Platform and Innovation", "industry" : "Product Management", "salary" : { "min" : 140000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Seattle", "locations" : [ "Seattle" ], "timestamp" : "2026-06-15T07:15:07.453", "fingerprint" : "54b094177bcf69d02fe96ad1098688d343f1234615847da847b73ad71017797a", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/designworkstalent/cdc7501f-9bae-454b-967e-cd2d5b09740a/application", "externalId" : "cdc7501f-9bae-454b-967e-cd2d5b09740a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "APIs, Web applications, Mobile solutions, Data processing systems, REST APIs, Postman, Swagger, OpenAPI", "professionalSkills" : [ "Product strategy", "Roadmap execution", "Platform modernization", "Platform innovation", "API strategy", "Developer experience", "Integration capabilities", "Product specifications", "User stories", "Acceptance criteria", "Technical requirements", "Emerging technologies", "Market trends", "Competitive developments", "Agent-driven engineering", "AI-enabled delivery" ], "hardSkillsList" : [ "Platform capabilities", "Scalability", "Reliability", "Performance", "Extensibility", "System availability", "Integrations" ], "hardSkills" : [ { "name" : "Platform capabilities", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" }, { "name" : "Reliability", "level" : "intermediate" }, { "name" : "Performance", "level" : "intermediate" }, { "name" : "Extensibility", "level" : "intermediate" }, { "name" : "System availability", "level" : "intermediate" }, { "name" : "Integrations", "level" : "intermediate" } ], "majorSkills" : "Platform strategy, Applied AI, Enterprise software, Data intelligence, Advanced analytics", "majorSkillsList" : [ "Platform strategy", "Applied AI", "Enterprise software", "Data intelligence", "Advanced analytics" ], "coreResponsibilities" : "Define platform product roadmap, Manage platform product roadmap, Balance strategic initiatives, Balance business priorities, Balance technical requirements, Partner with engineering, Partner with data science, Partner with business stakeholders, Deliver scalable platform capabilities, Deliver high-impact platform capabilities, Lead platform modernization efforts, Lead platform innovation efforts, Translate technical requirements, Create product specifications, Create user stories, Create acceptance criteria, Drive API strategy, Drive API evolution, Ensure seamless developer experience, Ensure robust integration capabilities, Collaborate with executive leadership, Collaborate with product teams, Collaborate with customer-facing stakeholders, Align platform investments, Operate within Agile environments, Operate within Kanban environments, Participate in planning, Participate in backlog management, Participate in delivery processes, Identify technical risks, Develop mitigation strategies, Support sales teams, Support onboarding teams, Support customer success teams, Provide platform expertise, Provide product guidance, Evaluate emerging technologies, Evaluate market trends, Evaluate competitive developments, Inform future platform strategy, Partner with AI teams, Partner with autonomous systems teams, Create product requirements, Support agent-driven engineering workflows, Support AI-enabled delivery models", "teamCollaboration" : "Cross-functional teams; Engineering teams; Data science teams; Business stakeholders; Executive leadership; Product teams; Customer-facing stakeholders; AI teams; Autonomous systems teams", "projectManagementSkills" : [ "Agile", "Kanban", "Roadmap planning", "Backlog management" ], "domainKnowledge" : "Enterprise software; Platform strategy; Applied AI; Identity verification; Fraud prevention; Risk management; Compliance; Customer acquisition; Data intelligence; Advanced analytics; Autonomous systems; AI-driven innovation; AI agent orchestration; Multi-agent workflows; Prompt engineering; AI governance frameworks; AI-assisted software development", "domainList" : [ "enterprise-software", "platform-strategy", "applied-ai", "identity-verification", "fraud-prevention", "risk-management", "compliance", "customer-acquisition", "data-intelligence", "advanced-analytics", "autonomous-systems", "ai-driven-innovation", "ai-agent-orchestration", "multi-agent-workflows", "prompt-engineering", "ai-governance-frameworks", "ai-assisted-software-development" ], "domainSpecificKnowledge" : [ "Enterprise software", "Platform strategy", "Applied AI", "Identity verification", "Fraud prevention", "Risk management", "Compliance", "Customer acquisition", "Data intelligence", "Advanced analytics", "Autonomous systems", "AI-driven innovation", "AI agent orchestration", "Multi-agent workflows", "Prompt engineering", "AI governance frameworks", "AI-assisted software development" ], "toolProficiency" : [ "Postman", "Swagger", "OpenAPI" ], "communicationSkills" : "Translate technical requirements; Translate between audiences", "documentationSkills" : "Product specifications; User stories; Acceptance criteria", "innovationCreativity" : "Platform innovation; AI-driven innovation; Emerging technologies", "problemSolvingSkills" : "Complex platform challenges; Technical risks; Mitigation strategies", "qualificationsBasic" : "5–8 years product management experience, Technical, platform, or infrastructure focus, Owning platform roadmaps, Delivering complex technical initiatives, Software development lifecycles, System architecture, Scalable platform design, Experience with REST APIs, Experience with integrations, Experience with developer tools, Prioritize competing initiatives, Make informed decisions, Experience supporting web solutions, Experience supporting mobile solutions, Experience supporting large-scale data processing, Cross-functional collaboration skills", "qualificationsPreferred" : "Experience in identity verification, Experience in fraud prevention, Experience in data intelligence, Experience in financial services, Experience in risk management, Experience in government sector, Experience in public sector environments, Experience with AI-enabled products, Experience with machine learning platforms, Experience with data-driven technologies, Familiarity with AI agent orchestration, Familiarity with multi-agent workflows, Familiarity with prompt engineering, Familiarity with AI governance frameworks, Partnering with engineering organizations, Building autonomous software development processes, Building AI-assisted software development processes", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Location: Seattle, WA (Hybrid - Downtown Seattle Office) Compensation: $140,000–$170,000 base salary + RSU equity opportunity + comprehensive benefits ABOUT THE OPPORTUNITY Our client is a publicly traded technology company that develops proprietary software, data intelligence, and advanced analytics solutions used by enterprise organizations to make critical business decisions with greater confidence. Their platform powers identity verification, fraud prevention, risk management, compliance, and customer acquisition initiatives across multiple industries. As the organization continues to invest heavily in AI-driven innovation, they are seeking a Technical Product Manager, Platform & Innovation to join their product leadership team. This is a unique opportunity to work at the intersection of enterprise software, platform strategy, and applied AI, partnering closely with engineering, data science, and autonomous systems teams to build scalable solutions that support both current products and next-generation capabilities. THE ROLE The Technical Product Manager will own the strategy, roadmap, and execution of core platform capabilities that support a broad suite of products and services. This individual will serve as a critical bridge between technical teams and business stakeholders, translating complex requirements into actionable product initiatives across APIs, web applications, mobile solutions, and large-scale data processing systems. The ideal candidate is a highly technical product leader who enjoys solving complex platform challenges, influencing cross-functional teams, and driving innovation in fast-paced environments. RESPONSIBILITIES - Define and manage the platform product roadmap, balancing strategic initiatives with business priorities and technical requirements. - Partner closely with engineering, data science, and business stakeholders to deliver scalable, high-impact platform capabilities. - Lead platform modernization and innovation efforts focused on scalability, reliability, performance, and extensibility. - Translate technical requirements into clear product specifications, user stories, and acceptance criteria. - Drive API strategy and evolution, ensuring a seamless developer experience and robust integration capabilities. - Collaborate with executive leadership, product teams, and customer-facing stakeholders to align platform investments with company objectives. - Operate within Agile and Kanban environments, participating in planning, backlog management, and delivery processes. - Identify technical risks and proactively develop mitigation strategies related to scalability, system availability, and integrations. - Support sales, onboarding, and customer success teams by providing platform expertise and product guidance. - Evaluate emerging technologies, market trends, and competitive developments to inform future platform strategy. - Partner with AI and autonomous systems teams to create product requirements that support agent-driven engineering workflows and AI-enabled delivery models. QUALIFICATIONS Required - 5–8 years of product management experience with a strong emphasis on technical, platform, or infrastructure-focused products. - Demonstrated success owning platform roadmaps and delivering complex technical initiatives. - Strong understanding of software development lifecycles, system architecture, and scalable platform design. - Experience working with REST APIs, integrations, and developer tools such as Postman, Swagger/OpenAPI, or similar technologies. - Excellent communication skills with the ability to translate between technical and non-technical audiences. - Proven ability to prioritize competing initiatives and make informed decisions in fast-moving environments. - Experience supporting web, mobile, and large-scale data processing solutions. - Strong cross-functional collaboration skills with engineering, product, data, and business stakeholders. Preferred - Experience within identity verification, fraud prevention, data intelligence, financial services, risk management, or government/public sector environments. - Background working with AI-enabled products, machine learning platforms, or data-driven technologies. - Familiarity with AI agent orchestration concepts, multi-agent workflows, prompt engineering, or AI governance frameworks. - Experience partnering with engineering organizations building autonomous or AI-assisted software development processes. WHY CONSIDER THIS OPPORTUNITY? - Join a financially strong, publicly traded technology company with a growing investment in AI and platform innovation. - Work on products that solve complex real-world challenges at enterprise scale. - Partner directly with engineering, AI, and executive leadership teams. - Competitive compensation package including base salary, equity participation, 401(k) match, comprehensive healthcare coverage, flexible PTO, and additional employee benefits. - Opportunity to shape the future of AI-enabled platform development within a rapidly evolving technology organization.", "summaryDescription" : "Technical Product Manager, Platform and Innovation. Skills: Platform strategy, Applied AI, Enterprise software, Data intelligence, Advanced analytics. Define platform product roadmap. Manage platform product roadmap", "createdAt" : "2026-06-13T21:28:30.101", "lastUpdated" : "2026-06-15T07:15:07.453", "ingestTimestamp" : "2026-06-13T21:28:30.101", "mongoId" : "6a2c753974d8ee00a093668f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 140000, "salaryAnnualMax" : 170000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Platform capabilities", "Scalability", "Reliability", "Performance", "Extensibility", "System availability", "Integrations", "Platform strategy", "Applied AI", "Enterprise software", "Data intelligence", "Advanced analytics", "Product strategy", "Roadmap execution", "Platform modernization", "Platform innovation", "API strategy", "Developer experience", "Integration capabilities", "Product specifications", "User stories", "Acceptance criteria", "Technical requirements", "Emerging technologies", "Market trends", "Competitive developments", "Agent-driven engineering", "AI-enabled delivery", "Agile", "Kanban", "Roadmap planning", "Backlog management", "Identity verification", "Fraud prevention", "Risk management", "Compliance", "Customer acquisition", "Autonomous systems", "AI-driven innovation", "AI agent orchestration", "Multi-agent workflows", "Prompt engineering", "AI governance frameworks", "AI-assisted software development", "Postman", "Swagger", "OpenAPI" ], "skillCount" : 47, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cafbd74d8ee00a09d7aae", "title" : "Product Manager (AI Hardware)", "company" : "Artificial Analysis", "industry" : "Product", "salary" : { "min" : 165000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Product Manager in San Francisco, adjusted for the technology industry and manager experience." }, "location" : "San Francisco (On-site)", "locations" : [ "San Francisco (On-site)" ], "timestamp" : "2026-06-15T03:24:50.590", "fingerprint" : "826431f951d514a26d54e5382def9aa992087e60d368740b6c8ae2f2f286b3ec", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/artificialanalysis/36262f57-d5fe-40d1-8add-953cff832ddf/application", "externalId" : "36262f57-d5fe-40d1-8add-953cff832ddf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AI, Silicon, GPUs, TPUs, Custom silicon, Python, Pandas, NumPy, Matplotlib, PyTorch, TensorFlow, CUDA, TensorRT, VLLM", "professionalSkills" : [ "Product strategy", "Roadmap development", "Performance benchmarking", "Cost modeling", "Price-performance analysis", "Community engagement", "Industry standards" ], "hardSkillsList" : [ "Performance benchmarking", "Cost modeling", "Throughput analysis", "Latency analysis", "Price-performance analysis" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Performance benchmarking", "level" : "intermediate" }, { "name" : "Cost modeling", "level" : "intermediate" }, { "name" : "Throughput analysis", "level" : "intermediate" }, { "name" : "Latency analysis", "level" : "intermediate" }, { "name" : "Price-performance analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "AI hardware, Product management, Benchmarking", "majorSkillsList" : [ "AI hardware", "Product management", "Benchmarking" ], "coreResponsibilities" : "Contribute to AI hardware product strategy, Execute roadmap for accelerator evaluation platforms, Develop features with engineers, Code features yourself, Build and maintain benchmarking methodologies, Measure throughput, Measure latency, Measure price-performance, Benchmark new silicon, Benchmark new providers, Understand AI inference economics, Translate insights into evaluation frameworks, Amplify impact of hardware benchmarks, Collaborate to maximize content impact, Work with chipmakers, Work with inference providers, Benchmark accelerators, Understand accelerator capabilities, Shape industry standards, Embrace AI-native workflow, Use AI tools for leverage", "teamCollaboration" : "Cross-functional collaboration; Collaborating with engineering; Collaborating with analysis colleagues; Collaborating with founders; Collaborating with team; Collaborating with product", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "AI hardware; Inference chips; Accelerators; GPUs; TPUs; Custom silicon; AI benchmarking; AI capabilities; AI strategies; AI silicon; AI inference; Compute economics; Computer architecture; AI language models", "domainList" : [ "ai-hardware", "inference-chips", "accelerators", "gpus", "tpus", "custom-silicon", "ai-benchmarking", "ai-capabilities", "ai-strategies", "ai-silicon", "ai-inference", "compute-economics", "computer-architecture", "ai-language-models" ], "domainSpecificKnowledge" : [ "AI hardware", "Inference chips", "Accelerators", "GPUs", "TPUs", "Custom silicon", "AI benchmarking", "AI capabilities", "AI strategies", "AI silicon", "AI inference", "Compute economics", "Computer architecture", "AI language models" ], "toolProficiency" : [ "AI tools" ], "communicationSkills" : "Explaining technical topics", "problemSolvingSkills" : "Analytical thinking; Critical thinking", "qualificationsBasic" : "Analytical and critical thinking skills, Excitement about AI, Eagerness to work at forefront, Demonstrated excellence academically, Demonstrated excellence professionally, Real interest in AI hardware", "qualificationsPreferred" : "Experience at AI hardware startup, Experience at inference/infrastructure company, Experience at chip company, Experience with GPU/accelerator benchmarking, Experience with systems performance engineering, Understanding of inference economics, Experience in strategy consulting, Academic success in technical degree, Writing skills, Visual communication skills, Perspective on AI scaling laws, Familiarity with inference software stack, Familiarity with modern AI language models, Experience working in software engineering, Experience working in data science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT ARTIFICIAL ANALYSIS Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don't just measure the cutting edge of AI, they are actively shaping the frontier. Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist. We are a team of 35+, on track to triple by year end, backed by Nat Friedman (Github, Meta), Daniel Gross (SSI), Andrew Ng (Google Brain, DeepLearning.ai http://DeepLearning.ai, Amazon), Adam D'Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders. THE OPPORTUNITY We're hiring for a Product Manager focused on AI hardware — the inference chips and accelerators that the entire AI industry runs on (GPUs, TPUs, and the growing wave of custom silicon). You'll work closely with us to develop and enhance our hardware benchmarks and leaderboards, contributing to product strategy and execution at the intersection of silicon and AI. This is a hands-on, technical product role: you'll drive day-to-day operations for our hardware benchmarking offering and be a key contributor to product development, collaborating closely with engineering and analysis colleagues, as well as our founders. You'll design and run performance benchmarks, build cost and throughput models, and work with top chipmakers and inference providers to benchmark their latest accelerators. If you're excited about cutting-edge AI silicon and care deeply about how the economics and performance of inference are evolving (from hyperscale deployments to startups optimizing every dollar of compute), this role offers a front-row seat to the next wave of AI. WHAT YOU’LL DO - Product Development for Hardware AI Benchmarking: Contribute to AI hardware product strategy and help execute the roadmap for our accelerator evaluation platforms, covering GPUs, TPUs, custom inference silicon, and emerging architectures — including working with engineers on our team to develop features and potentially coding features yourself - Curate and Develop Hardware Evaluation Frameworks: Build and maintain comprehensive benchmarking methodologies that measure throughput, latency (e.g. tokens per second, time-to-first-token), and price-performance across accelerators and inference configurations, reflecting how the industry actually deploys models in production today and how it will in the coming months and years - Hardware Operations: Ensure that coverage of chips and accelerators across Artificial Analysis stays up to date by benchmarking new silicon and providers as they launch — both working with our development team and using our internal tooling yourself - Price-Performance & Cost Analysis: Deeply understand the economics of AI inference — how cost-per-token, utilization, and hardware choice interact — and translate these insights into evaluation frameworks that help users make real deployment and procurement decisions - Strategic Marketing Support and Community Engagement: Help amplify the impact of our hardware benchmarks, collaborating with our team to maximize impact of our content across platforms and audiences - Industry Engagement: Work with leading chipmakers and inference providers to benchmark their accelerators, understanding their capabilities and helping shape industry standards for how AI hardware performance and efficiency are evaluated - Become AI-Native: Embrace an AI-native workflow, using the latest AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking WHAT WE’RE LOOKING FOR Required: - Strong analytical and critical thinking skills - Excitement about AI and eagerness to work at the forefront of technological innovation - Demonstrated excellence, both academically and professionally - Real interest in AI hardware and the silicon powering modern AI Beyond that, this opportunity could potentially suit a wide range of backgrounds. We believe that the following skills and experience would likely be helpful for success in this role. We're not expecting any single candidate to tick off the entire list, but these are some things that we think would be valuable: - Experience at an AI hardware startup, inference/infrastructure company, or chip company (e.g. Cerebras, Groq, SambaNova, Tenstorrent, Together AI, Fireworks, Baseten, or similar) — especially in roles touching AI accelerators or inference hardware - Experience with GPU/accelerator performance benchmarking, characterization, or systems performance engineering - Understanding of inference economics and price-performance — cost-per-token, utilization, total cost of ownership of compute - Experience in strategy consulting - Academic success in a technical degree programme, especially related to AI, computer architecture, or hardware (e.g. Computer Science, Electrical/Computer Engineering), or in a related technical field (e.g. Physics, Maths) - Strong writing skills, especially in relation to explaining technical topics to both technical and non-technical audiences - Visual communication skills (e.g. making slides, visualizing data) - A strong perspective on AI scaling laws — and specifically their implications for inference hardware and compute demand - Familiarity with the inference software stack (e.g. CUDA, TensorRT, vLLM, or similar serving frameworks) and how it interacts with underlying hardware - Familiarity with modern AI language models (e.g. developing systems leveraging LLMs as a component) - Experience working in software engineering or data science - Proficiency in Python and data analysis libraries (e.g. pandas, numpy, matplotlib); experience with AI/ML frameworks (e.g. PyTorch, TensorFlow) WHY ARTIFICIAL ANALYSIS? - Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI. - Become a world expert in AI: You will evaluate every major model and accelerator, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI. - Work with the most important players in AI: You'll manage relationships with teams at the leading chipmakers, AI labs and major enterprises as a trusted, independent voice. - Join at a defining moment: We're 35+ people and growing fast, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale. - Competitive compensation including equity ", "summaryDescription" : "Product Manager (AI Hardware) at Artificial Analysis. Skills: AI hardware, Product management, Benchmarking. Contribute to AI hardware product strategy. Execute roadmap for accelerator evaluation platforms", "createdAt" : "2026-06-13T22:17:35.477", "lastUpdated" : "2026-06-15T03:24:50.590", "ingestTimestamp" : "2026-06-13T22:17:35.477", "mongoId" : "6a2cafbd74d8ee00a09d7aae", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Performance benchmarking", "Cost modeling", "Throughput analysis", "Latency analysis", "Price-performance analysis", "Critical thinking", "AI hardware", "Product management", "Benchmarking", "Product strategy", "Roadmap development", "Community engagement", "Industry standards", "Roadmap planning", "Inference chips", "Accelerators", "GPUs", "TPUs", "Custom silicon", "AI benchmarking", "AI capabilities", "AI strategies", "AI silicon", "AI inference", "Compute economics", "Computer architecture", "AI language models", "AI tools" ], "skillCount" : 28, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c9fd174d8ee00a09a0a11", "title" : "Manager, AI Platform Architect", "company" : "Notable", "industry" : "Delivery", "salary" : { "min" : 148000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote USA", "locations" : [ "Remote USA" ], "timestamp" : "2026-06-16T02:10:45.899", "fingerprint" : "9e1fda6535e94f09a6bee822acbfd538bc043343e4afb62295c2c2a7f0d7a97c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/notable/bceb3f39-f5c9-4c7d-b5a7-36271e57fe7b/application", "externalId" : "bceb3f39-f5c9-4c7d-b5a7-36271e57fe7b", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AI, LLMs, Prompt engineering", "professionalSkills" : [ "Workflow design", "Solution architecture", "Systems integration", "Project management", "Customer engagement", "Roadmap prioritization" ], "hardSkillsList" : [ "Platform architecture", "Workflow automation" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Platform architecture", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "AI Platform Architecture, Team Leadership, Customer Implementations", "majorSkillsList" : [ "AI Platform Architecture", "Team Leadership", "Customer Implementations" ], "coreResponsibilities" : "Lead AI Platform Architects, Mentor AI Platform Architects, Grow AI Platform Architects, Oversee delivery of implementations, Deliver high-quality flows, Provide technical oversight, Provide technical guidance, Ensure architecture scales effectively, Drive operational excellence, Streamline project planning, Streamline documentation, Streamline testing, Streamline customer collaboration, Act as escalation point, Unblock teams, Partner cross-functionally, Collaborate with Product, Collaborate with Engineering, Channel feedback into improvements, Channel market insight into improvements, Foster team learning, Foster team innovation, Promote best practice sharing, Promote platform mastery, Support hiring, Support onboarding, Scale the team with talent", "teamCollaboration" : "Cross-functional alignment; Customer Success; Product; Engineering", "projectManagementSkills" : [ "Project planning" ], "domainKnowledge" : "Healthcare AI; Enterprise software workflow; Health system technologies; EHRs; CRMs; Care coordination", "domainList" : [ "healthcare-ai", "enterprise-software-workflow", "health-system-technologies", "ehrs", "crms", "care-coordination" ], "domainSpecificKnowledge" : [ "Healthcare AI", "Enterprise software workflow", "Health system technologies", "EHRs", "CRMs", "Care coordination" ], "toolProficiency" : [ "Notable Flow Builder" ], "communicationSkills" : "Technical communication; Non-technical communication", "documentationSkills" : "Documentation", "continuousLearning" : "Best practice sharing; Platform mastery; Use of cutting-edge AI", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Solving challenging problems", "specialRequirements" : "Up to 40% travel", "outcomesObjectives" : "Deliver high-quality flows on time; Align flows to customer outcomes; Drive measurable customer impact", "qualificationsBasic" : "8+ years enterprise software experience, 3-5+ years managing technical teams, Background in implementation, Background in solution architecture, Background in systems integration, Proven ability to lead complex projects, Proven ability to lead customer engagements", "qualificationsPreferred" : "AI implementation experience preferred, Low-code environments experience preferred, Experience working with LLMs, Prompt engineering experience, Automation frameworks experience, Knowledge of health system technologies, Knowledge of EHRs, Knowledge of CRMs, Knowledge of care coordination tools", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff. We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale. Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together. Role Summary: As Manager, AI Platform Architect, you’ll lead a high-performing team of Platform Architects who work closely with customers to design, build, and optimize intelligent workflows using Notable’s Flow Builder platform. You’ll play a key role in scaling our platform architecture function by setting the standard for technical excellence, customer impact, and operational efficiency. You will guide your team in translating complex healthcare challenges into elegant, AI-driven solutions. You’ll help shape our approach to customer implementations, influence product direction, and serve as a mentor and coach—ensuring the success of your team and the broader organization. This is a player-coach role where you’ll be hands-on in solving challenging problems while also building team capabilities, driving strategic initiatives, and influencing cross-functional alignment across Customer Success, Product, and Engineering. What You’ll Do: - Lead, mentor, and grow a team of AI Platform Architects, supporting them in technical execution, customer engagement, and career development. - Oversee delivery of implementations, ensuring your team delivers high-quality flows on time and aligned to customer outcomes. - Provide technical oversight and guidance, ensuring architecture aligns with Notable’s best practices and scales effectively. - Drive operational excellence across your team—streamlining project planning, documentation, testing, and customer collaboration. - Act as an escalation point for complex implementations, helping unblock teams and partnering cross-functionally to resolve risks. - Collaborate with Product and Engineering, channeling feedback and market insight into platform improvements and roadmap prioritization. - Foster team learning and innovation, promoting best practice sharing, platform mastery, and use of cutting-edge AI techniques like LLMs and prompt engineering. - Support hiring and onboarding, helping scale the team with top talent and set up new hires for success. You’re a Great Fit if You: - Enjoy leading technical teams and helping others grow while maintaining a hands-on connection to the work. - Thrive in an entrepreneurial, mission-driven environment where innovation and autonomy are valued. - Bring a deep understanding of enterprise software workflow design, ideally within healthcare. - Communicate clearly across technical and non-technical audiences—from platform architects to clinical executives. - Can guide both strategy and execution, aligning daily work with broader outcomes. - Are energized by building scalable systems and driving measurable customer impact. What We’re Looking For: - 8+ years of experience in enterprise software or healthcare tech, including 3-5+ years managing technical teams. - Background in implementation, solution architecture, or systems integration, preferably in AI or low-code environments. - Proven ability to lead complex projects and customer engagements from discovery through delivery. - Experience working with LLMs, prompt engineering, or automation frameworks is a strong plus. - Knowledge of health system technologies like EHRs, CRMs, or care coordination tools is a plus. - Willingness to travel up to 40% for customer and internal engagements. #LI-TD1 We value in-person collaboration and connection. For Bay Area–based employees, this role requires being in our San Mateo office at least three days a week. For remote employees, occasional travel to headquarters is expected for company-wide events and onsite gatherings. Beware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be a recruiter from Notable from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here https://www.notablehealth.com/contact.", "summaryDescription" : "Manager, AI Platform Architect at Notable. Skills: AI Platform Architecture, Team Leadership, Customer Implementations. Lead AI Platform Architects. Mentor AI Platform Architects", "createdAt" : "2026-06-14T20:12:12.709", "lastUpdated" : "2026-06-16T02:10:45.899", "ingestTimestamp" : "2026-06-14T20:12:12.709", "mongoId" : "6a2c9fd174d8ee00a09a0a11", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 148000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Platform architecture", "Workflow automation", "Leadership", "Mentoring", "AI Platform Architecture", "Team Leadership", "Customer Implementations", "Workflow design", "Solution architecture", "Systems integration", "Project management", "Customer engagement", "Roadmap prioritization", "Project planning", "Healthcare AI", "Enterprise software workflow", "Health system technologies", "EHRs", "CRMs", "Care coordination", "Notable Flow Builder" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "69164da470f0b99d586f316b", "title" : "Senior Applied Scientist - Systems for ML Inference and Training Optimization", "company" : "Amazon Web Services Development Center Germany GmbH", "industry" : "Machine Learning Science, Applied Science, Cloud Computing", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Applied Scientist in Germany, adjusted for Tübingen's city tier, technology industry, and senior experience level." }, "location" : "Tübingen, Baden-Wurttemberg, DEU", "locations" : [ "Tübingen, Baden-Wurttemberg, DEU" ], "timestamp" : "2026-06-15T01:12:58.333", "fingerprint" : "fb17e7e2832db57916e26afa3e56185d50a37a4aa4abf81d24c90a6a6961cab7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3123070/apply", "externalId" : "5d4c2a44-7cf7-4634-bda9-01dcff5e233d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tübingen", "state" : "Baden-Wurttemberg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.5203263,9.0535960" } ], "locationText" : "Tübingen, Baden-Wurttemberg, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "CUDA, AWS Neuron SDK, C++, C, PTX assembly, ARM, x86, NVIDIA, GPU", "professionalSkills" : [ "Performance engineering", "Systems programming", "Kernel development", "Distributed systems optimization", "AI workload optimization", "Cross-platform acceleration", "Scientific innovation", "Product development", "Technical documentation", "Research reports", "Scientific rigor", "Technical leadership", "Scientific roadmap", "Optimization strategies", "Architectural decisions", "Systems-level optimization" ], "hardSkillsList" : [ "Kernel development", "Performance optimization", "Systems programming", "Distributed systems", "AI workload optimization", "Low-level optimization", "Assembly-level tuning", "Cross-platform kernel porting" ], "softSkillsList" : [ "Mentorship" ], "hardSkills" : [ { "name" : "Kernel development", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Systems programming", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "AI workload optimization", "level" : "intermediate" }, { "name" : "Low-level optimization", "level" : "intermediate" }, { "name" : "Assembly-level tuning", "level" : "intermediate" }, { "name" : "Cross-platform kernel porting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" } ], "majorSkills" : "ML Systems, Inference optimization, Training optimization, Performance engineering, Kernel development", "majorSkillsList" : [ "ML Systems", "Inference optimization", "Training optimization", "Performance engineering", "Kernel development" ], "coreResponsibilities" : "Design and implement kernel-level optimizations, Optimize ML inference and training workloads, Develop custom CUDA kernels, Optimize PTX-level, Accelerate cross-platform, Drive performance improvements, Improve latency, Improve throughput, Improve memory efficiency, Profile ML systems, Analyze ML systems, Optimize ML systems, Develop ML operators, Port ML operators, Ensure optimal performance, Lead design of optimization solutions, Implement optimization solutions, Deliver optimization solutions, Improve customer experience, Reduce operational costs, Produce technical documentation, Write internal research reports, Contribute to publications, Influence technical direction, Define scientific roadmap, Build consensus on strategies, Build consensus on decisions, Mentor junior scientists, Mentor junior engineers, Train engineers", "teamCollaboration" : "Across engineering teams; Across science teams", "domainKnowledge" : "ML inference; ML training; Heterogeneous compute; Transformer models; Emerging architectures; Distributed training systems; AWS training services; AWS inference services; ML systems performance; Large language models; MoE models; AI accelerators; Embedded devices; Data center GPUs", "domainList" : [ "ml-inference", "ml-training", "heterogeneous-compute", "transformer-models", "emerging-architectures", "distributed-training-systems", "aws-training-services", "aws-inference-services", "ml-systems-performance", "large-language-models", "moe-models", "ai-accelerators", "embedded-devices", "data-center-gpus" ], "domainSpecificKnowledge" : [ "ML inference", "ML training", "Heterogeneous compute", "Transformer models", "Emerging architectures", "Distributed training systems", "AWS training services", "AWS inference services", "ML systems performance", "Large language models", "MoE models", "AI accelerators", "Embedded devices", "Data center GPUs" ], "toolProficiency" : [ "NVIDIA Nsight", "Linux Perf" ], "communicationSkills" : "Technical documentation; Research reports", "documentationSkills" : "Technical documentation; Research reports", "innovationCreativity" : "Invent novel optimization techniques; Invent new algorithmic approaches", "problemSolvingSkills" : "Performance analysis; Systematic profiling", "outcomesObjectives" : "Impact performance and cost-efficiency; Improve customer experience; Reduce AWS operational costs", "qualificationsBasic" : "PhD in Computer Science or related field, OR Master's degree with 8+ years experience, 5+ years experience in performance optimization for AI/ML, Expert CUDA programming and GPU architecture, Demonstrated ability to write high-performance kernels, Proven track record of performance improvements (2x+), C/C++ programming skills, Experience with performance profiling tools", "qualificationsPreferred" : "Experience optimizing LLMs and transformer architectures, Experience with AWS Neuron SDK, Experience optimizing ML across diverse hardware, Experience with low-level optimization (PTX, assembly), Experience leading performance optimization initiatives, Proven ability to mentor engineers (5+ team members), Entrepreneurial experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an exceptional Senior Applied Scientist specializing in ML Systems, training, and inference optimization to join DS3. This role requires deep expertise in performance engineering, kernel development, distributed systems optimization, and AI workload optimization across heterogeneous compute platforms. You will invent and implement novel optimization techniques that directly impact the performance and cost-efficiency of ML training and inference for AWS customers worldwide. As a Senior Applied Scientist in DS3, you will work at the lowest levels of the software stack—writing custom CUDA kernels, optimizing PTX assembly, developing high-performance operators for GPUs and AWS Neuron, designing efficient communication patterns for multi-GPU and multi-node training, and inventing new algorithmic approaches to accelerate transformer models and emerging architectures. Your work will span from single-node inference optimization to large-scale distributed training systems, influencing the design of AWS training and inference services and setting new standards for ML systems performance across the industry. Deep Science for Systems and Services (DS3) is a part of AWS Utility Computing (UC) which provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Key job responsibilities Systems-Level Scientific Innovation: Design and implement novel kernel-level optimizations for ML inference and training workloads, including custom CUDA kernels, PTX-level optimizations, and cross-platform acceleration for CUDA and AWS Neuron SDK. Performance Engineering Leadership: Drive 2-10× performance improvements in latency, throughput, and memory efficiency for production ML inference & training systems through systematic profiling, analysis, and optimization. Cross-Platform Optimization: Develop and port high-performance ML operators across GPUs, AWS Inferentia/Trainium, and emerging AI accelerators, ensuring optimal performance on each platform. Product-Level Impact: Lead the design, implementation, and delivery of scientifically-complex optimization solutions that directly improve customer experience and reduce AWS operational costs at scale. Scientific Rigor: Produce technical documentation and internal research reports demonstrating the correctness, efficiency, and scalability of your optimizations. Contribute to external publications when aligned with business needs. Technical Leadership: Influence your team's technical direction and scientific roadmap. Build consensus across engineering and science teams on optimization strategies and architectural decisions. Mentorship & Knowledge Sharing: Actively mentor junior scientists and engineers on performance engineering best practices, kernel development, and systems-level optimization techniques. About the team Deep Science for Systems and Services (DS3) is a science organization within AWS Compute & ML Services focused on advancing AI/ML technologies at the systems level. Our team works at the intersection of machine learning and high-performance computing, developing optimizations for large model inference across diverse hardware platforms. We push the boundaries of what's possible in ML inference performance, working directly with CUDA, AWS Neuron, and other low-level compute abstractions to deliver industry-leading latency, throughput, and cost-performance for AWS customers deploying AI at scale. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - PhD in Computer Science, Computer Engineering, or related technical field, OR Master's degree with 8+ additional years of relevant research/industry experience. - 5+ years of hands-on experience in performance optimization and systems programming for AI/ML workloads. - Expert-level proficiency in CUDA programming and GPU architecture, with demonstrated ability to write high-performance custom kernels. - Proven track record of delivering measurable performance improvements (2× or greater) in production systems. - Strong C/C++ programming skills with experience in performance profiling tools such as NVIDIA Nsight, Linux Perf, or similar diagnostic frameworks. Preferred Qualifications: - Experience optimizing inference and/or training for large language models (LLMs) and transformer-based architectures, including MoE models, at scale. - Hands-on experience with AWS Neuron SDK, or other non-NVIDIA AI acceleration platforms. - Track record of optimizing ML workloads across diverse hardware: embedded devices (ARM Cortex, DSPs, NPUs) and data center GPUs (NVIDIA Ampere/Hopper). - Experience with low-level optimization techniques including assembly-level tuning (NVIDIA PTX, x86/ARM assembly) and cross-platform kernel porting. - Experience leading performance optimization initiatives that resulted in significant cost savings or multi-million dollar business impact. - Proven ability to mentor and train engineers in performance engineering and low-level optimization (5+ team members or workshop instruction). - Entrepreneurial experience or track record of driving technical vision in startup, co-founder, or product development environments. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Applied Scientist - Systems for ML Inference and Training Optimization at Amazon Web Services Development Center Germany GmbH. Skills: ML Systems, Inference optimization, Training optimization, Performance engineering, Kernel development. Design and implement kernel-level optimizations. Optimize ML inference and training workloads", "postedDate" : "2026-06-12T23:33:54.529", "createdAt" : "2026-06-12T23:33:54.529", "lastUpdated" : "2026-06-15T01:12:58.333", "ingestTimestamp" : "2026-06-12T23:33:54.529", "mongoId" : "69164da470f0b99d586f316b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3123070/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Kernel development", "Performance optimization", "Systems programming", "Distributed systems", "AI workload optimization", "Low-level optimization", "Assembly-level tuning", "Cross-platform kernel porting", "Mentorship", "ML Systems", "Inference optimization", "Training optimization", "Performance engineering", "Distributed systems optimization", "Cross-platform acceleration", "Scientific innovation", "Product development", "Technical documentation", "Research reports", "Scientific rigor", "Technical leadership", "Scientific roadmap", 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"71f08da4051a8ab005baff501d308e93c3d449c19ba2b43821ba76c90d540d7b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/nscaleoperationsukltd/jobs/4889396101", "externalId" : "4889396101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceLevel" : "Director", "technicalSkills" : "Kubernetes, AWS, GCP, Azure, IAM, Go, Python, Terraform, OPA Gatekeeper, Kyverno, Sigstore, Cosign", "professionalSkills" : [ "Platform security", "Product security", "Supply chain security", "Deployment security", "Application security", "AI-assisted development governance", "Workload isolation", "Admission control", "RBAC", "Runtime enforcement", "Tenant boundary integrity", "Encryption standards", "Key management", "IAM governance", "Automated guardrails", "Continuous remediation", "Image integrity", "Image signing", "Provenance verification", "Base image governance", "Security gates", "Deployment pipelines", "Threat modeling", "Secure design review", "Security requirements", "SAST", "SCA", "DAST", "Secrets detection", "Service security", "Authentication", "Authorization", "API security", "Secure communication", "Vulnerability remediation", "Prompt injection", "Insecure code generation" ], "hardSkillsList" : [ "Security architecture", "Network policy", "Multi-tenant boundary enforcement", "Shared responsibility boundaries", "Secure SDLC", "Developer-facing security practices", "Code review", "Tooling decisions", "Account governance", "Configuration management", "Posture monitoring", "AI coding tools", "AI-generated code evaluation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Security architecture", "level" : "intermediate" }, { "name" : "Network policy", "level" : "intermediate" }, { "name" : "Multi-tenant boundary enforcement", "level" : "intermediate" }, { "name" : "Shared responsibility boundaries", "level" : "intermediate" }, { "name" : "Secure SDLC", "level" : "intermediate" }, { "name" : "Developer-facing security practices", "level" : "intermediate" }, { "name" : "Code review", "level" : "intermediate" }, { "name" : "Tooling decisions", "level" : "intermediate" }, { "name" : "Account governance", "level" : "intermediate" }, { "name" : "Configuration management", "level" : "intermediate" }, { "name" : "Posture monitoring", "level" : "intermediate" }, { "name" : "AI coding tools", "level" : "intermediate" }, { "name" : "AI-generated code evaluation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Platform security, Product security, Kubernetes security, Application security", "majorSkillsList" : [ "Platform security", "Product security", "Kubernetes security", "Application security" ], "coreResponsibilities" : "Lead security of Nscale's platform, Lead security of software services, Own platform security architecture, Own platform security controls, Secure customer production workloads, Define encryption standards, Drive key management, Lead cloud security posture management, Build image integrity capabilities, Build supply chain security capabilities, Embed security into deployment pipelines, Establish safe deployment practices, Own software security, Build application security tooling, Strengthen service security, Partner with engineering teams, Identify vulnerabilities, Prioritize vulnerabilities, Remediate vulnerabilities, Enable safe use of AI coding tools, Define secure usage patterns, Evaluate risks in AI-generated code, Integrate security checks", "teamCollaboration" : "Platform Engineering teams; Infrastructure teams; SRE teams; Product development teams; Engineering teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "GPU cloud; AI infrastructure; Multi-tenant platform; Shared responsibility boundaries; AI-assisted development", "domainList" : [ "gpu-cloud", "ai-infrastructure", "multi-tenant-platform", "shared-responsibility-boundaries", "ai-assisted-development" ], "domainSpecificKnowledge" : [ "GPU cloud", "AI infrastructure", "Multi-tenant platform", "Shared responsibility boundaries", "AI-assisted development" ], "toolProficiency" : [ "Kubernetes", "AWS", "GCP", "Azure", "Terraform", "OPA Gatekeeper", "Kyverno", "Sigstore", "Cosign" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Architecture diagrams", "innovationCreativity" : "Relentless innovation", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Protect Kubernetes platform; Strengthen tenant boundary integrity; Reduce complexity of AI development; Achieve superior AI results; Manage costs; Drive rapid innovation; Ensure environmental responsibility; Strengthen platform security; Support deployment velocity; Support delivery speed; Support secure scale-up", "qualificationsBasic" : "15+ years security engineering, 5+ years leadership role, Hands-on security controls for Kubernetes, Product security or application security programs, Design security controls with performance impact, Secure workloads in multi-cloud environments", "qualificationsPreferred" : "GPU experience, HPC experience, AI workload environments experience, CSPM platforms experience, Sigstore experience, Cosign experience, Terraform experience, OPA Gatekeeper experience, Kyverno experience, Go experience, Python experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future. About the Role We are hiring a Director of Platform and Product Security to lead the security of Nscale’s core infrastructure platform and the software and services built on top of it. This is a hands-on engineering leadership role reporting directly to the CISO and working closely with Platform Engineering, Infrastructure, SRE, and product development teams. You will own two complementary disciplines: protecting our Kubernetes-based, multi-tenant AI cloud platform and embedding strong product security practices into the software lifecycle. This role is critical to how Nscale operates AI infrastructure at scale. You will build and lead teams that ship practical security controls, ensuring security strengthens the platform without becoming a drag on performance or deployment velocity. What you'll be doing Platform Security Own the security architecture and controls for Nscale’s Kubernetes-based infrastructure, including workload isolation, admission control, RBAC, runtime enforcement, and tenant boundary integrity Secure customer production workloads by defining and strengthening controls at the boundary between Nscale’s infrastructure responsibilities and customer-managed workloads Drive encryption standards and key management across platform services, covering data at rest, data in transit, and cryptographic practices across internal and customer-facing services Lead cloud security posture management across environments through configuration baselines, IAM governance, automated guardrails, and continuous remediation Supply Chain and Deployment Security Build and operate image integrity and supply chain security capabilities, including image signing, provenance verification, and base image governance Embed security into deployment pipelines with security gates that support delivery speed rather than block it Establish safe deployment practices and rollback mechanisms for issues identified during release or operation Product Security Own the security of software built and deployed on the Nscale platform through threat modeling, secure design review, and early security requirements in the development lifecycle Build and scale application security tooling, including SAST, SCA, DAST, and secrets detection, integrated into CI/CD Strengthen service security across the platform, including authentication and authorization between services, API security, and secure communication patterns Partner directly with engineering teams to identify, prioritize, and remediate vulnerabilities AI-Assisted Development Governance Enable the safe use of AI coding tools across engineering teams Define secure usage patterns for AI-assisted development workflows Evaluate risks in AI-generated code, including insecure code generation patterns, prompt injection concerns, and over-reliance on AI review Integrate security checks into AI-assisted development processes to support secure scale-up KPIs Kubernetes platform control coverage Cloud security posture remediation Application security tooling adoption in CI/CD Vulnerability remediation with engineering teams About You 15+ years in security engineering, with at least 5 years in a leadership role managing security engineers across more than one domain Deep hands-on experience designing and operating security controls for Kubernetes-orchestrated production infrastructure Proven experience with admission control, RBAC, network policy, runtime security, workload isolation, and multi-tenant boundary enforcement Strong understanding of securing platforms that run customer workloads you do not control, including shared responsibility boundaries Experience owning product security or application security programs, including threat modeling, secure SDLC, and developer-facing security practices Ability to design security controls with performance impact and deployment velocity in mind Strong engineering orientation with the ability to engage directly on architecture, code, and tooling decisions Experience securing workloads in multi-cloud environments across AWS, GCP, and/or Azure, including IAM, account governance, configuration management, and posture monitoring Familiarity with the security implications of AI-assisted development, including prompt injection, insecure code generation, and over-reliance on AI review Preferred experience in GPU, HPC, or AI workload environments, plus exposure to tools such as CSPM platforms, Sigstore, Cosign, Terraform, OPA Gatekeeper, Kyverno, Go, or Python What we can offer you At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. Highly competitive US compensation package (base + bonus + equity), with performance reviews every 12 months. \uD83D\uDE80 Join one of the fastest-growing AI infrastructure companies — your chance to directly shape how global AI capacity is planned and deployed. ✨ Expect a dynamic progression plan tailored to your ambitions. Grow by leading critical cross-functional initiatives and shaping capital strategy — always with our full support. Human-First Flexibility: We treat you as humans first. \uD83E\uDEF6\uD83C\uDFFD Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments. Equal Opportunities Statement We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. Salary Range The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. Salary Range $225,000—$250,000 USD For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.", "summaryDescription" : "Director of Platform and Product Security at Nscale. Skills: Platform security, Product security, Kubernetes security, Application security. Lead security of Nscale's platform. Lead security of software services", "postedDate" : "2026-06-12T22:13:39.972", "createdAt" : "2026-06-12T22:13:39.972", "lastUpdated" : "2026-06-15T02:41:02.970", "ingestTimestamp" : "2026-06-12T22:13:39.972", "mongoId" : "6a2c5f3f74d8ee00a08ea500", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 250000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Security architecture", "Network policy", "Multi-tenant boundary enforcement", "Shared responsibility boundaries", "Secure SDLC", "Developer-facing security practices", "Code review", "Tooling decisions", "Account governance", "Configuration management", "Posture monitoring", "AI coding tools", "AI-generated code evaluation", "Leadership", "Platform security", "Product security", "Kubernetes security", "Application security", "Supply chain security", "Deployment security", "AI-assisted development governance", "Workload isolation", "Admission control", "RBAC", "Runtime enforcement", "Tenant boundary integrity", "Encryption standards", "Key management", "IAM governance", "Automated guardrails", "Continuous remediation", "Image integrity", "Image signing", "Provenance verification", "Base image governance", "Security gates", "Deployment pipelines", "Threat modeling", "Secure design review", "Security requirements", "SAST", "SCA", "DAST", "Secrets detection", "Service security", "Authentication", "Authorization", "API security", "Secure communication", "Vulnerability remediation", "Prompt injection", "Insecure code generation", "Agile", "GPU cloud", "AI infrastructure", "Multi-tenant platform", "AI-assisted development", "Kubernetes", "AWS", "GCP", "Azure", "Terraform", "OPA Gatekeeper", "Kyverno", "Sigstore", "Cosign" ], "skillCount" : 66, "jobCategory" : "other", "jobSubcategory" : "security", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c92ed74d8ee00a0986e19", "title" : "Data Platform Architect (Snowflake)", "company" : "Xebia", "industry" : "Consulting", "salary" : { "min" : 600000.0, "max" : 900000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Data Platform Architect (Snowflake) in Poland at an executive level, adjusted for the technology industry and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-16T04:34:30.578", "fingerprint" : "4c3bf109911204cc29bfad4d413baf34ec123a8fd9f48f30f4f408885c63177e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xebiacee/jobs/5978698004", "externalId" : "5978698004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "technicalSkills" : "Snowflake, Dbt, AWS, GCP, Azure, Databricks", "professionalSkills" : [ "System design", "Data modeling", "Technical ownership", "Decision making", "Execution discipline" ], "hardSkillsList" : [ "Data ingestion", "Data transformation", "Data modeling", "Platform architecture" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Platform architecture", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Snowflake architecture, Data platform, Cloud platforms", "majorSkillsList" : [ "Snowflake architecture", "Data platform", "Cloud platforms" ], "coreResponsibilities" : "Own Snowflake-based data platform architecture, Ensure architectural consistency, Ensure architectural quality, Drive execution across teams, Collaborate with India teams, Act as technical counterpart, Operate in global delivery models, Translate business objectives, Make pragmatic architectural decisions, Manage architectural trade-offs, Unblock teams, Resolve cross-team dependencies, Define architectural standards, Enforce architectural standards, Define architectural patterns, Enforce architectural patterns, Define architectural guardrails, Enforce architectural guardrails, Ensure scalability, Ensure security, Ensure governance, Ensure operational robustness, Support rollout phases, Support early production phases", "teamCollaboration" : "Distributed teams; Global delivery models; Multiple time zones; India-based teams; US-based stakeholders", "domainKnowledge" : "Enterprise data platform architectures; Data ingestion patterns; Data transformation patterns; Data modeling patterns; Cloud platforms; Production systems security; Production systems governance; Production systems operations; Regulated environments; Data-sensitive environments; GenAI in SDLC; AI-driven practices", "domainList" : [ "enterprise-data-platform-architectures", "data-ingestion-patterns", "data-transformation-patterns", "data-modeling-patterns", "cloud-platforms", "production-systems-security", "production-systems-governance", "production-systems-operations", "regulated-environments", "data-sensitive-environments", "genai-in-sdlc", "ai-driven-practices" ], "domainSpecificKnowledge" : [ "Enterprise data platform architectures", "Data ingestion patterns", "Data transformation patterns", "Data modeling patterns", "Cloud platforms", "Production systems security", "Production systems governance", "Production systems operations", "Regulated environments", "Data-sensitive environments", "GenAI in SDLC", "AI-driven practices" ], "toolProficiency" : [ "Dbt", "Claude Code", "GitHub Copilot", "Cursor" ], "communicationSkills" : "Client leadership communication", "continuousLearning" : "Personal development budgets", "innovationCreativity" : "Explore and experiment", "problemSolvingSkills" : "Resolve dependencies; Decision making under ambiguity", "specialRequirements" : "Work permit required, EU region work", "qualificationsBasic" : "End-to-end ownership of Snowflake architecture, Architectural consistency and quality, Execution across distributed teams, Technical counterpart for US stakeholders, Translate business objectives to technical plans, Pragmatic architectural decisions, Manage trade-offs, Define and enforce architectural standards, Ensure production readiness, Deep, hands-on Snowflake experience, Deliver large-scale data platforms, Understand modern enterprise data platform architectures, Practical experience data ingestion, Practical experience data transformation, Practical experience data modeling, Hands-on dbt experience, Solid understanding of cloud platforms, Knowledge of security considerations, Knowledge of governance considerations, Knowledge of operational considerations, Full technical ownership without supervision, Confidence working with senior client leadership, Decision-making skills under ambiguity, Delivery-oriented mindset, High accountability, Lead by authority, clarity, execution discipline, Practical AI assistant experience", "qualificationsPreferred" : "Experience supporting early production phases, Experience supporting hypercare phases, Background in regulated environments, Background in data-sensitive environments, Previous Field CTO role, Previous Principal Architect role, Experience applying GenAI in SDLC, Interest in emerging AI-driven practices, Familiarity with agent-based workflows, Familiarity with automation patterns, Familiarity with AI-augmented development, Willingness to explore and experiment", "remoteFriendly" : true, "rawDescription" : "Hello, let’s meet! Who We Are While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started. What We Do We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland! Beyond Projects What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow. What sets us apart? Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself. You will be: responsible for end-to-end ownership of the Snowflake-based data platform architecture, from design through production, ensuring architectural consistency and quality across all implementation teams, driving execution across distributed teams, including close collaboration with India-based delivery teams as well as acting as the primary technical counterpart for senior US-based stakeholders - operating in global delivery models across multiple time zones, translating business objectives into concrete, executable technical plans, making fast, pragmatic architectural decisions while effectively managing trade-offs, unblocking teams and resolving cross-team technical dependencies, defining and enforcing architectural standards, patterns, and guardrails, ensuring production readiness, including scalability, security, governance, and operational robustness, supporting rollout and early production phases when required. Your profile: Technical skills: deep, hands‑on experience with Snowflake as a core enterprise data platform, proven track record of delivering large‑scale data platforms, not just designing them, strong understanding of modern enterprise data platform architectures, practical experience with data ingestion, transformation, and modeling patterns, hands‑on experience with dbt or equivalent transformation frameworks, solid understanding of cloud platforms (even if Snowflake is the core layer), strong knowledge of security, governance, and operational considerations in production systems. Leadership & Delivery: ability to take full technical ownership without supervision, confidence working directly with senior client leadership and decision makers, strong decision‑making skills under ambiguity and time pressure, delivery‑oriented mindset with high accountability, ability to lead by authority, clarity, and execution discipline (without formal authority), excellent communication skills, Practical experience using AI-powered assistants (e. g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. Work from the European Union region and a work permit are required. Nice to have: experience supporting early production or hypercare phases, background in highly regulated or data‑sensitive environments, previous experience acting in a Field CTO, Principal Architect, or equivalent role, experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e. g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision", "summaryDescription" : "Data Platform Architect (Snowflake) at Xebia. Skills: Snowflake architecture, Data platform, Cloud platforms. Own Snowflake-based data platform architecture. Ensure architectural consistency", "postedDate" : "2026-06-14T20:08:46.989", "createdAt" : "2026-06-14T20:08:46.989", "lastUpdated" : "2026-06-16T04:34:30.578", "ingestTimestamp" : "2026-06-14T20:08:46.989", "mongoId" : "6a2c92ed74d8ee00a0986e19", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data ingestion", "Data transformation", "Data modeling", "Platform architecture", "Leadership", "Snowflake architecture", "Data platform", "Cloud platforms", "System design", "Technical ownership", "Decision making", "Execution discipline", "Enterprise data platform architectures", "Data ingestion patterns", "Data transformation patterns", "Data modeling patterns", "Production systems security", "Production systems governance", "Production systems operations", "Regulated environments", "Data-sensitive environments", "GenAI in SDLC", "AI-driven practices", "Dbt", "Claude Code", "GitHub Copilot", "Cursor" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f841", "title" : "ADAS Platform Software Architect", "company" : "Mercedes-Benz Digital Tech Ltd.", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior ADAS Platform Software Architect in the United States, adjusted for seniority and the technology industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "China (Mainland)-Shanghai-Shanghai", "Xingchi Tower, No. 399, Keqiao Road, , Jinqiao, Pudong, Shanghai" ], "timestamp" : "2026-06-16T02:16:05.604", "fingerprint" : "ef0c8f66cca777b36f722cab6efcd635e2c74046880b859a4bb981e263c83f2d", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=881292", "externalId" : "881292", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SoC, Linux, QNX, RTOS, C, C++, Python, POSIX, Ethernet, AUTOSAR, SOME/IP, QNX io-pkt, DDS", "professionalSkills" : [ "System design", "Performance optimization", "Software debugging", "Problem solving", "Analytical skill", "Inter-cultural competence" ], "hardSkillsList" : [ "Middleware AUTOSAR/DDS", "Automotive software", "Middleware Development", "Performance Optimization", "IPC mechanism", "Automotive network" ], "softSkillsList" : [ "Good communication skills", "Teamwork spirit", "Independent working style", "Pro-active working style" ], "hardSkills" : [ { "name" : "Middleware AUTOSAR/DDS", "level" : "intermediate" }, { "name" : "Automotive software", "level" : "intermediate" }, { "name" : "Middleware Development", "level" : "intermediate" }, { "name" : "Performance Optimization", "level" : "intermediate" }, { "name" : "IPC mechanism", "level" : "intermediate" }, { "name" : "Automotive network", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Good communication skills" }, { "name" : "Teamwork spirit" }, { "name" : "Independent working style" }, { "name" : "Pro-active working style" } ], "coreResponsibilities" : "Design advanced software platforms, Implement advanced software platforms, Create robust architectures, Create scalable architectures, Ensure platform meets standards, Document architecture, Verify architecture, Align requirements, Drive development, Support project teams, Integrate supplier requirements", "teamCollaboration" : "Internal teams; External partners; Suppliers; Various hierarchy levels", "domainKnowledge" : "Autonomous driving; Assisted driving; Automated driving; Middleware Technologies; Adaptive AUTOSAR; ASPICE; Safety Norms; ISO26262", "domainList" : [ "autonomous-driving", "assisted-driving", "automated-driving", "middleware-technologies", "adaptive-autosar", "aspice", "safety-norms", "iso26262" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Assisted driving", "Automated driving", "Middleware Technologies", "Adaptive AUTOSAR", "ASPICE", "Safety Norms", "ISO26262" ], "toolProficiency" : [ "Develop tools-chain" ], "communicationSkills" : "Inter-cultural competence; Communication skills", "documentationSkills" : "Document architecture", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Problem solving skill; Analytical skill", "specialRequirements" : "Willingness to travel", "qualificationsBasic" : "8 years SW development, 5 years Middleware AUTOSAR/DDS, Automotive software development, Middleware Development, Performance Optimization, Performance optimizations, Efficient implementations, Software debugging, Through knowledge Middleware Technologies, Proficient C / C++, Scripting languages, Python, Large software system development, Optimizing POSIX-based Operating Systems, Performance analysis, IPC mechanism, Middleware Technologies, Adaptive AUTOSAR, DDS, Chinese native speaker, Fluent English", "qualificationsPreferred" : "Experience in automotive network architecture, Ethernet, AUTOSAR SOME/IP, QNX io-pkt, Experience with ASPICE, Safety Norms like ISO26262, German language beneficial", "remoteFriendly" : false, "rawDescription" : "The mission of the GRC/RDCS department is to lead the development of the ADAS (Advanced Driver Assistance Systems) platform for Mercedes-Benz China, ensuring the delivery of innovative, reliable, and high-performance solutions that support the company’s vision for autonomous and assisted driving technologies. The ADAS Platform Software Architect is responsible for designing and implementing advanced software platforms that support autonomous driving products. This role focuses on creating robust and scalable architectures using modern technologies such as SoC, virtualization, and operating systems like Linux, QNX, and RTOS. The architect will ensure the platform meets high standards for performance, reliability, and scalability, and will document and verify the architecture to support business and technical goals. Collaboration is key, as the architect will work closely with internal teams, external partners, and suppliers—both locally and internationally—to align requirements and drive the successful development of automated driving and driver assistance systems. The position also involves supporting project teams in China and ensuring that supplier requirements are integrated into the platform’s design and implementation Education · B achelor in computer science, robotics, electrical engineering or a related field Experience · At least 8 years working experience in SW development, 5 years Middleware AUTOSAR/DDS development experience. · Experience in automotive software development, including Middleware Development, Performance Optimization · Experience in performance optimizations, writing efficient implementations, and software debugging · Excellent problem solving skill and analytical skill. · Good communication skills and teamwork spirit · Inter-cultural competence and communication skills with various hierarchy levels. · Independent and pro-active working style, willingness to travel inside China and abroad to conduct system testing · Chinese native speaker with fluent English language skills, German language beneficial Knowledge · Through knowledge and understanding of Middleware Technologies and develop tools-chain is a must . · Proficient C / C++ language programming skill is a must. · Strong skill in scripting languages (Python among others) with large software system development experience is a must · Experience in Optimizing of POSIX-based Operating Systems and Performance analysis · E xperience in IPC mechanism with different Middleware Technologies like Adaptive AUTOSAR or DDS · Experience in automotive network architecture e.g. Ethernet , AUTOSAR SOME/IP and QNX io-pkt, etc. is preferred · Experience with ASPICE and Safety Norms like ISO26262 Mercedes-Benz Digital Tech Ltd.", "summaryDescription" : "ADAS Platform Software Architect at Mercedes-Benz Digital Tech Ltd.. Design advanced software platforms. Implement advanced software platforms", "createdAt" : "2026-06-14T18:49:43.722", "lastUpdated" : "2026-06-16T02:16:05.604", "ingestTimestamp" : "2026-06-14T18:49:43.722", "mongoId" : "6a191e7758b93c861e39f841", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Middleware AUTOSAR/DDS", "Automotive software", "Middleware Development", "Performance Optimization", "IPC mechanism", "Automotive network", "Good communication skills", "Teamwork spirit", "Independent working style", "Pro-active working style", "System design", "Performance optimization", "Software debugging", "Problem solving", "Analytical skill", "Inter-cultural competence", "Autonomous driving", "Assisted driving", "Automated driving", "Middleware Technologies", "Adaptive AUTOSAR", "ASPICE", "Safety Norms", "ISO26262", "Develop tools-chain" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69fa0dda4c40e2acd144ea9b", "title" : "Chip Design Engineer", "company" : "Annapurna Labs Ltd.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 385000.0, "max" : 595000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Chip Design Engineer in Tel Aviv-Yafo, Israel, adjusted for mid-level experience and the technology industry." }, "location" : "Tel Aviv-Yafo, Tel Aviv, ISR", "locations" : [ "Tel Aviv-Yafo, Tel Aviv, ISR" ], "timestamp" : "2026-06-15T02:00:33.615", "fingerprint" : "339fe4fadaeac63df547989cfb23ec50ea658ba4562f7c07a063bfc2db567ece", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10411334/apply", "externalId" : "5d07054e-6046-4f2e-bd03-3f46d427d94f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tel Aviv-Yafo", "state" : "Tel Aviv", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" } ], "locationText" : "Tel Aviv-Yafo, Tel Aviv, Israel", "employmentType" : "FULL_TIME", "minimumEducation" : "B. Sc.", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "RTL, CDC, Lint", "professionalSkills" : [ "Chip Design", "Micro-architecture definition", "Timing closure", "Physical Design" ], "hardSkillsList" : [ "RTL design", "Synthesis", "Timing closure", "Sign-off" ], "hardSkills" : [ { "name" : "RTL design", "level" : "intermediate" }, { "name" : "Synthesis", "level" : "intermediate" }, { "name" : "Timing closure", "level" : "intermediate" }, { "name" : "Sign-off", "level" : "intermediate" } ], "majorSkills" : "Chip Design, IP blocks, RTL design", "majorSkillsList" : [ "Chip Design", "IP blocks", "RTL design" ], "coreResponsibilities" : "Develop next generation of Nitro platform, Own critical IP blocks end-to-end, Guide IP blocks from micro-architecture definition, Guide IP blocks through RTL design, Guide IP blocks through debug, Guide IP blocks through synthesis, Guide IP blocks through timing closure, Guide IP blocks through final sign-off, Partner with Verification teams, Partner with Emulation teams, Shape test plans, Review coverage, Close gaps early, Collaborate across disciplines, Deliver integrated chip", "teamCollaboration" : "Design team; Verification teams; Emulation teams; Product Definition teams; Software teams; Physical Design teams", "domainKnowledge" : "ML accelerator; Arm-based server processor; Network controller; Cloud management", "domainList" : [ "ml-accelerator", "arm-based-server-processor", "network-controller", "cloud-management" ], "domainSpecificKnowledge" : [ "ML accelerator", "Arm-based server processor", "Network controller", "Cloud management" ], "problemSolvingSkills" : "Debug; Troubleshooting", "outcomesObjectives" : "Ship silicon powering AWS", "qualificationsBasic" : "B. Sc. in Electrical Engineering/Computer Engineering, 5+ years of experience in Chip Design, Experience working with data paths", "qualificationsPreferred" : "Bachelor's degree in computer science, Experience with large scale IPs, Experience with a full design cycle, Experience with Networking layers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Annapurna Labs, an Amazon team, designs and delivers high-end, custom silicon at the heart of AWS. Our chips don't just support the cloud; they define it. From Trainium, the purpose-built ML accelerator driving the next wave of AI innovation, to Graviton, the Arm-based server processor redefining price-performance for compute workloads, to Nitro, the advanced network and cloud management controller that underpins every AWS instance — Annapurna's products set the standard for the industry. We're looking for a talented Chip Design Engineer to join our Nitro team in Tel Aviv and help shape what comes next. What you'll do: *Take an active, hands-on role in developing the next generation of the Nitro platform https://aws.amazon.com/ec2/nitro/ *Own critical IP blocks end-to-end — from architecture through tape-out *Collaborate with a world-class, fast-moving design team and see your work deployed at a scale no other platform can match, powering hundreds of thousands of businesses across 190 countries If you want to build silicon that leads the cloud world, this is where it happens. Key job responsibilities As a Chip Design Engineer on the Nitro team, you will take full end-to-end ownership of one or more critical IP blocks within the product, guiding them from micro-architecture definition through RTL design, debug, synthesis, timing closure, and final sign-off before tape-out. Your work will ship in silicon that powers AWS at global scale. You'll partner closely with the Verification and Emulation teams to shape test plans, review coverage, and close gaps early in the design cycle. Beyond your own IP, you'll collaborate across disciplines with Product Definition, Software, Physical Design, and Verification teams to deliver a fully integrated, production-ready chip. Basic Qualifications: - B.Sc. in Electrical Engineering/Computer Engineering - 5+ years of experience in Chip Design - Experience working with data paths Preferred Qualifications: - Bachelor's degree in computer science or equivalent - Experience with large scale IPs (Millions of gates) - Experience with a full design cycle – RTL/Verification/Synthesis and timing closure/CDC/ Lint. - Experience with Networking layers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Chip Design Engineer at Annapurna Labs Ltd.. Skills: Chip Design, IP blocks, RTL design. Develop next generation of Nitro platform. Own critical IP blocks end-to-end", "postedDate" : "2026-06-13T04:24:30.778", "createdAt" : "2026-06-13T04:24:30.778", "lastUpdated" : "2026-06-15T02:00:33.615", "ingestTimestamp" : "2026-06-13T04:24:30.778", "mongoId" : "69fa0dda4c40e2acd144ea9b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10411334/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "RTL design", "Synthesis", "Timing closure", "Sign-off", "Chip Design", "IP blocks", "Micro-architecture definition", "Physical Design", "ML accelerator", "Arm-based server processor", "Network controller", "Cloud management" ], "skillCount" : 12, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c9fd274d8ee00a09a0a18", "title" : "Manager, AI Platform Architect", "company" : "Notable", "industry" : "Delivery", "salary" : { "min" : 148000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Mateo, CA", "locations" : [ "San Mateo, CA" ], "timestamp" : "2026-06-15T10:12:33.492", "fingerprint" : "c8858d72e214c13e2651eb43f0ecc52dbd74e1a1586c6cdfda61a1b2babf0586", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/notable/7b13b9f7-cc52-4e08-95ee-e097ef7430b4/application", "externalId" : "7b13b9f7-cc52-4e08-95ee-e097ef7430b4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Mateo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4969040,-122.3330573" } ], "locationText" : "San Mateo, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AI, LLMs, Automation", "professionalSkills" : [ "Workflow design", "Solution architecture", "Systems integration", "Technical oversight", "Customer engagement", "Roadmap prioritization" ], "hardSkillsList" : [ "Platform architecture", "AI-driven solutions", "Prompt engineering" ], "softSkillsList" : [ "Leadership", "Mentoring", "Coaching" ], "hardSkills" : [ { "name" : "Platform architecture", "level" : "intermediate" }, { "name" : "AI-driven solutions", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Coaching" } ], "majorSkills" : "AI Platform Architecture, Team leadership, Customer implementations", "majorSkillsList" : [ "AI Platform Architecture", "Team leadership", "Customer implementations" ], "coreResponsibilities" : "Lead AI Platform Architects, Mentor AI Platform Architects, Grow AI Platform Architects, Oversee implementation delivery, Ensure high-quality flows, Deliver on time, Align to customer outcomes, Provide technical oversight, Guide architecture alignment, Ensure architecture scales, Drive operational excellence, Streamline project planning, Streamline documentation, Streamline testing, Streamline customer collaboration, Act as escalation point, Unblock teams, Partner cross-functionally, Resolve risks, Collaborate with Product, Collaborate with Engineering, Channel feedback, Channel market insight, Foster team learning, Foster team innovation, Promote best practice sharing, Promote platform mastery, Promote use of AI techniques, Support hiring, Support onboarding, Scale team with talent, Set up new hires", "teamCollaboration" : "Cross-functional alignment; Customer Success collaboration; Product collaboration; Engineering collaboration", "projectManagementSkills" : [ "Project planning" ], "domainKnowledge" : "Healthcare AI; Enterprise software workflow; Health system technologies; EHRs; CRMs; Care coordination tools", "domainList" : [ "healthcare-ai", "enterprise-software-workflow", "health-system-technologies", "ehrs", "crms", "care-coordination-tools" ], "domainSpecificKnowledge" : [ "Healthcare AI", "Enterprise software workflow", "Health system technologies", "EHRs", "CRMs", "Care coordination tools" ], "communicationSkills" : "Technical communication; Non-technical communication", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Travel up to 40%, In-office 3 days/week, Occasional travel to HQ", "outcomesObjectives" : "Scale platform architecture; Achieve technical excellence; Achieve customer impact; Achieve operational efficiency; Drive measurable customer impact", "qualificationsBasic" : "8+ years enterprise software experience, 3-5+ years managing technical teams, Background in implementation, Background in solution architecture, Background in systems integration, Lead complex projects, Lead customer engagements", "qualificationsPreferred" : "AI implementation experience preferred, Low-code environments experience preferred, Experience working with LLMs, Prompt engineering experience, Automation frameworks experience, Knowledge of health system technologies, EHR knowledge, CRM knowledge, Care coordination tools knowledge", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff. We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale. Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together. Role Summary: As Manager, AI Platform Architect, you’ll lead a high-performing team of Platform Architects who work closely with customers to design, build, and optimize intelligent workflows using Notable’s Flow Builder platform. You’ll play a key role in scaling our platform architecture function by setting the standard for technical excellence, customer impact, and operational efficiency. You will guide your team in translating complex healthcare challenges into elegant, AI-driven solutions. You’ll help shape our approach to customer implementations, influence product direction, and serve as a mentor and coach—ensuring the success of your team and the broader organization. This is a player-coach role where you’ll be hands-on in solving challenging problems while also building team capabilities, driving strategic initiatives, and influencing cross-functional alignment across Customer Success, Product, and Engineering. What You’ll Do: - Lead, mentor, and grow a team of AI Platform Architects, supporting them in technical execution, customer engagement, and career development. - Oversee delivery of implementations, ensuring your team delivers high-quality flows on time and aligned to customer outcomes. - Provide technical oversight and guidance, ensuring architecture aligns with Notable’s best practices and scales effectively. - Drive operational excellence across your team—streamlining project planning, documentation, testing, and customer collaboration. - Act as an escalation point for complex implementations, helping unblock teams and partnering cross-functionally to resolve risks. - Collaborate with Product and Engineering, channeling feedback and market insight into platform improvements and roadmap prioritization. - Foster team learning and innovation, promoting best practice sharing, platform mastery, and use of cutting-edge AI techniques like LLMs and prompt engineering. - Support hiring and onboarding, helping scale the team with top talent and set up new hires for success. You’re a Great Fit if You: - Enjoy leading technical teams and helping others grow while maintaining a hands-on connection to the work. - Thrive in an entrepreneurial, mission-driven environment where innovation and autonomy are valued. - Bring a deep understanding of enterprise software workflow design, ideally within healthcare. - Communicate clearly across technical and non-technical audiences—from platform architects to clinical executives. - Can guide both strategy and execution, aligning daily work with broader outcomes. - Are energized by building scalable systems and driving measurable customer impact. What We’re Looking For: - 8+ years of experience in enterprise software or healthcare tech, including 3-5+ years managing technical teams. - Background in implementation, solution architecture, or systems integration, preferably in AI or low-code environments. - Proven ability to lead complex projects and customer engagements from discovery through delivery. - Experience working with LLMs, prompt engineering, or automation frameworks is a strong plus. - Knowledge of health system technologies like EHRs, CRMs, or care coordination tools is a plus. - Willingness to travel up to 40% for customer and internal engagements. #LI-TD1 We value in-person collaboration and connection. For Bay Area–based employees, this role requires being in our San Mateo office at least three days a week. For remote employees, occasional travel to headquarters is expected for company-wide events and onsite gatherings. Beware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be a recruiter from Notable from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here https://www.notablehealth.com/contact.", "summaryDescription" : "Manager, AI Platform Architect at Notable. Skills: AI Platform Architecture, Team leadership, Customer implementations. Lead AI Platform Architects. 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As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. Annapurna Labs is a fabless semiconductor company established by semiconductor industry veterans and is now part of Amazon. We are developing leading edge products, manufactured on leading edge technologies. We offer a dynamic, open, teamwork environment operating at high pace mode. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Early Career Talent When you join Amazon Web Services as a student or recent graduate, you’ll have the chance for your voice to be heard and amplified. That’s because our teams are looking to learn as much from you as you’ll learn from them. Whether you’re graduating with a high school or equivalent diploma, associate degree, bachelor’s degree, MBA, or PhD, we offer a range of early career opportunities across the globe. Basic Qualifications: - BSc student in Electrical Engineering / Computer Engineering. Please include your CV and a grade sheet in a single PDF file. Preferred Qualifications: - Available two to three work days per week - Fluent English - Knowledge of digital logic systems, computer networks, and computer architecture Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Chip Design Student at Annapurna Labs Ltd.", "postedDate" : "2026-06-13T03:31:01.040", "createdAt" : "2026-06-13T03:31:01.040", "lastUpdated" : "2026-06-15T01:27:11.618", "ingestTimestamp" : "2026-06-13T03:31:01.040", "mongoId" : "693072a470f0b99d58ffb65b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3134907/apply", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Digital logic systems", "Computer networks", "Computer architecture" ], "skillCount" : 3, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Semiconductor" }, { "id" : "693072a470f0b99d58ffb65c", "title" : "Chip Design Engineer", "company" : "Annapurna Labs Ltd.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 300000.0, "max" : 450000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Chip Design Engineer in Tel Aviv-Yafo, Israel, adjusted for the technology industry and company size." }, "location" : "Tel Aviv-Yafo, TA, ISR", "locations" : [ "Tel Aviv-Yafo, TA, ISR" ], "timestamp" : "2026-06-15T05:53:39.885", "fingerprint" : "f6e776a514ed2d1b4e0ac8db4a892ecfbee508cb794d4396b6109f178158b9f9", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3134900/apply", "externalId" : "4cec7c3d-92ec-4e8e-930e-fe60516250a5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tel Aviv-Yafo", "state" : "Tel Aviv", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" } ], "locationText" : "Tel Aviv-Yafo, Tel Aviv, Israel", "employmentType" : "FULL_TIME", "minimumEducation" : "BSc", "technicalSkills" : "Verilog, System Verilog, AXI, CHI, DDR, PCIe, NOC, SoC", "professionalSkills" : [ "Micro-architecture", "RTL coding", "Synthesis", "Timing closure", "Sign-off", "Test plan", "Coverage review", "Quality standards", "Reliability standards", "Product definition", "Architecture", "Feature development", "Physical design" ], "hardSkillsList" : [ "SoC implementation", "Design automation", "Scripting capabilities" ], "hardSkills" : [ { "name" : "SoC implementation", "level" : "intermediate" }, { "name" : "Design automation", "level" : "intermediate" }, { "name" : "Scripting capabilities", "level" : "intermediate" } ], "majorSkills" : "Chip Design, VLSI, Semiconductor platform", "majorSkillsList" : [ "Chip Design", "VLSI", "Semiconductor platform" ], "coreResponsibilities" : "Experience with one or more IPs, Support Verification and Emulation teams, Ensure chip meets quality standards, Ensure chip meets reliability standards, Collaborate with cross-functional teams", "teamCollaboration" : "Architecture; Software; Verification; Backend; DFT; Product Definition; Physical design", "domainKnowledge" : "Nitro SoC; Cloud services; Semiconductor platform", "domainList" : [ "nitro-soc", "cloud-services", "semiconductor-platform" ], "domainSpecificKnowledge" : [ "Nitro SoC", "Cloud services", "Semiconductor platform" ], "innovationCreativity" : "Product innovations; New product innovations; Cutting-edge products; Disruptive system architecture; Next generation semiconductor platform; Revolutionary architecture; Next generation products; Cutting-edge technologies", "outcomesObjectives" : "Impact over the device lifecycle; Large-scale impact", "qualificationsBasic" : "BSc in Electrical Engineering, BSc in Computer Engineering, BSc in Computer Science, Knowledge of Verilog/System Verilog", "qualificationsPreferred" : "Protocols: AXI, CHI, DDR, Networking, PCIe, Architecture of NOC, Coherent and Non-Coherent fabrics, End-to-end SoC implementation experience, Design automation and scripting capabilities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Take part in the development of cutting-edge products within a disruptive system architecture. You will have the opportunity to work on the technologies that power the world’s largest cloud provider, in a dynamic, open, and fast-paced environment. AWS provides a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world. Annapurna Labs, as part of Amazon Web Services (AWS), is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture. Looking for exceptional engineers to join the top-tier team that is developing the next generation semiconductor platform, based on a revolutionary architecture. Engineers will participate in design and verification activities, working on the next generation of our products. You are invited to take part in developing, integrating and deploying cutting-edge technologies, starting with identification and definition of project requirements, architecture, feature development, and collaboration with the different groups. Your design will be integrated into the nitro SoC, on millions of servers worldwide. This is an opportunity to have a large-scale impact. As a VLSI engineer and a member of the Nitro project, you will have an impact over the device through its entire lifecycle, from the product definition stage to mass production. You will work in close collaboration with multiple groups, including Architecture, Software, Verification, Backend, and DFT. If you are interested in hearing more about Annapurna Labs and the Nitro project, you are welcome to watch the following videos: AWS re:Invent 2022 - Silicon innovation at AWS: https://www.youtube.com/watch?v=O6EMdeuq_s8 Nitro System Architecture: https://www.youtube.com/watch?v=02EbskIXCOc Deep dive on the AWS Nitro System: https://www.youtube.com/watch?v=jAaqfeyvvSE Key job responsibilities Key job responsibilities *Experience with of one or more IPs within the product: -Micro-architecture -RTL coding and debug -Synthesis and timing closure -Sign-off * Supporting the Verification and Emulation teams: Test plan, Coverage review * Ensuring that the chip meets quality and reliability standards * Collaborating with cross-functional teams, including Product Definition, Verification, Software, and Physical design About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - BSc in Electrical Engineering/Computer Engineering/Computer Science - Knowledge of Verilog/System Verilog Preferred Qualifications: - Protocols: AXI, CHI, DDR, Networking, PCIe - Architecture of NOC, Coherent and Non-Coherent fabrics - End-to-end SoC implementation experience (Synthesis, STA, CDC, Lint) - Design automation and scripting capabilities Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Chip Design Engineer at Annapurna Labs Ltd.. Skills: Chip Design, VLSI, Semiconductor platform. Experience with one or more IPs. Support Verification and Emulation teams", "postedDate" : "2026-06-13T08:59:54.955", "createdAt" : "2026-06-13T08:59:54.955", "lastUpdated" : "2026-06-15T05:53:39.885", "ingestTimestamp" : "2026-06-13T08:59:54.955", "mongoId" : "693072a470f0b99d58ffb65c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3134900/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "SoC implementation", "Design automation", "Scripting capabilities", "Chip Design", "VLSI", "Semiconductor platform", "Micro-architecture", "RTL coding", "Synthesis", "Timing closure", "Sign-off", "Test plan", "Coverage review", "Quality standards", "Reliability standards", "Product definition", "Architecture", "Feature development", "Physical design", "Nitro SoC", "Cloud services" ], "skillCount" : 21, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69ce5e3b9bc74574cb677ace", "title" : "ADAS Platform Software Architect", "company" : "Mercedes-Benz Digital Tech Ltd.", "industry" : "Technology", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior ADAS Platform Software Architect in Bengaluru, India, adjusted for the automotive industry and a large tech company." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "China (Mainland)-Shanghai-Shanghai", "Xingchi Tower, No. 399, Keqiao Road, , Jinqiao, Pudong, Shanghai" ], "timestamp" : "2026-06-15T09:12:54.888", "fingerprint" : "e10246509f57bb5af6abc321f01aaee4e5a57d34baa89d331ec7bb250935e2d4", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=881292", "externalId" : "881292", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" }, { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Bengaluru, India; Pune, India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SoC, Linux, QNX, RTOS, AUTOSAR, DDS, C++, Python, POSIX, Ethernet, SOME/IP, QNX io-pkt, ISO26262", "professionalSkills" : [ "System design", "Inter-cultural competence", "Independent working style", "Pro-active working style" ], "hardSkillsList" : [ "Middleware development", "Performance optimization", "Software debugging", "Performance analysis", "IPC mechanism" ], "softSkillsList" : [ "Teamwork spirit", "Good communication skills" ], "hardSkills" : [ { "name" : "Middleware development", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Software debugging", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "IPC mechanism", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Teamwork spirit" }, { "name" : "Good communication skills" } ], "majorSkills" : "ADAS Platform, Software Architecture, Autonomous Driving, Middleware Development", "majorSkillsList" : [ "ADAS Platform", "Software Architecture", "Autonomous Driving", "Middleware Development" ], "coreResponsibilities" : "Design advanced software platforms, Implement advanced software platforms, Create robust architectures, Create scalable architectures, Ensure platform meets standards, Document architecture, Verify architecture, Support business goals, Support technical goals, Work with internal teams, Work with external partners, Work with suppliers, Align requirements, Drive development, Support project teams, Integrate supplier requirements", "teamCollaboration" : "Internal teams; External partners; Suppliers; Local and international", "domainKnowledge" : "ADAS; Autonomous driving; Assisted driving; Automated driving; Middleware Technologies; Automotive software; Automotive network architecture; Safety Norms", "domainList" : [ "adas", "autonomous-driving", "assisted-driving", "automated-driving", "middleware-technologies", "automotive-software", "automotive-network-architecture", "safety-norms" ], "domainSpecificKnowledge" : [ "ADAS", "Autonomous driving", "Assisted driving", "Automated driving", "Middleware Technologies", "Automotive software", "Automotive network architecture", "Safety Norms" ], "toolProficiency" : [ "Develop tools-chain" ], "communicationSkills" : "Good communication skills; Inter-cultural competence; Communication skills", "documentationSkills" : "Document architecture", "problemSolvingSkills" : "Problem solving skill; Analytical skill", "specialRequirements" : "Willingness to travel", "qualificationsBasic" : "8 years SW development, 5 years Middleware AUTOSAR/DDS, Automotive software development, Middleware Development, Performance Optimization, Performance optimizations, Efficient implementations, Software debugging, Problem solving skill, Analytical skill, Chinese native speaker, Fluent English skills, Middleware Technologies knowledge, Develop tools-chain knowledge, C / C++ programming skill, Scripting languages skill, Python skill, Large software system development, Optimizing POSIX-based OS, Performance analysis, IPC mechanism experience, Adaptive AUTOSAR experience, DDS experience", "qualificationsPreferred" : "German language beneficial, Automotive network architecture experience, Ethernet experience, AUTOSAR SOME/IP experience, QNX io-pkt experience, ASPICE experience, Safety Norms experience, ISO26262 experience", "remoteFriendly" : false, "rawDescription" : "The mission of the GRC/RDCS department is to lead the development of the ADAS (Advanced Driver Assistance Systems) platform for Mercedes-Benz China, ensuring the delivery of innovative, reliable, and high-performance solutions that support the company’s vision for autonomous and assisted driving technologies. The ADAS Platform Software Architect is responsible for designing and implementing advanced software platforms that support autonomous driving products. This role focuses on creating robust and scalable architectures using modern technologies such as SoC, virtualization, and operating systems like Linux, QNX, and RTOS. The architect will ensure the platform meets high standards for performance, reliability, and scalability, and will document and verify the architecture to support business and technical goals. Collaboration is key, as the architect will work closely with internal teams, external partners, and suppliers—both locally and internationally—to align requirements and drive the successful development of automated driving and driver assistance systems. The position also involves supporting project teams in China and ensuring that supplier requirements are integrated into the platform’s design and implementation Education · B achelor in computer science, robotics, electrical engineering or a related field Experience · At least 8 years working experience in SW development, 5 years Middleware AUTOSAR/DDS development experience. · Experience in automotive software development, including Middleware Development, Performance Optimization · Experience in performance optimizations, writing efficient implementations, and software debugging · Excellent problem solving skill and analytical skill. · Good communication skills and teamwork spirit · Inter-cultural competence and communication skills with various hierarchy levels. · Independent and pro-active working style, willingness to travel inside China and abroad to conduct system testing · Chinese native speaker with fluent English language skills, German language beneficial Knowledge · Through knowledge and understanding of Middleware Technologies and develop tools-chain is a must . · Proficient C / C++ language programming skill is a must. · Strong skill in scripting languages (Python among others) with large software system development experience is a must · Experience in Optimizing of POSIX-based Operating Systems and Performance analysis · E xperience in IPC mechanism with different Middleware Technologies like Adaptive AUTOSAR or DDS · Experience in automotive network architecture e.g. Ethernet , AUTOSAR SOME/IP and QNX io-pkt, etc. is preferred · Experience with ASPICE and Safety Norms like ISO26262 Mercedes-Benz Digital Tech Ltd.", "summaryDescription" : "ADAS Platform Software Architect at Mercedes-Benz Digital Tech Ltd.. Skills: ADAS Platform, Software Architecture, Autonomous Driving, Middleware Development. Design advanced software platforms. 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LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Product Manager, AI Agents and Platform at Jerry.ai. Skills: AI platform, LLM systems, Workflow automation. Lead end-to-end development. Design prompt strategies", "createdAt" : "2026-06-14T04:12:38.365", "lastUpdated" : "2026-06-15T08:52:51.982", "ingestTimestamp" : "2026-06-14T04:12:38.365", "mongoId" : "6a2cb13c74d8ee00a09dc94c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Technical translation", "Leadership", "AI platform", "LLM systems", "Workflow automation", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Prompt strategies", "Evaluation frameworks", "System architecture", "API design", "Roadmap", "Product development", "Car ownership", "Human-in-the-loop feedback", "Computer-use agents", "Voice models" ], "skillCount" : 19, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305347f292fd229cf12135", "title" : "Senior Platform Architect", "company" : "ServiceNow", "industry" : "Information Technology And Services", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Platform Architect in Staines, United Kingdom, adjusted for seniority and industry." }, "location" : "Staines, United Kingdom", "locations" : [ "Staines", "United Kingdom" ], "timestamp" : "2026-06-16T06:02:16.518", "fingerprint" : "69676e55197bc4666ccaff3a288d33f25e814055ac1ab0d5407e9381d37d5117", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ServiceNow/744000131700389-senior-platform-architect", "externalId" : "744000131700389", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Staines", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.4340120,-0.5110440" } ], "locationText" : "Staines, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "remoteFriendly" : false, "rawDescription" : "It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. The Customer Success Senior Platform Architect is an advisory role, responsible for helping our customers establish a technical foundation in the ServiceNow Platform and design solutions that deliver outcomes. The Senior Platform Architect ensures customers use leading practices around instance strategy, technical governance, core data, integrations and the health of the platform. This is a consultative role focused on guiding ServiceNow, partner and customer employees on the engagement team to provide a solution on an architecture designed for long-term success. * You will work with the customer across executive, platform owner, enterprise architects, and development teams during the selling, structuring, and implementation of solutions. * Be an architectural advisor across multiple engagements to guide customers, partners, and internal team members to provide successful customer solutions. * Provide a variety of architectural knowledge across multiple workflows. * Develop relationships with CoEI and business leaders at the customer site to understand the role of ServiceNow in their digital transformation vision. * Translate goals to outcomes into a customer roadmap. * Translate business information and technical requirements into an architectural blueprint to achieve complex goals. * Engage with the customer's Enterprise Architects to position ServiceNow as the digital transformation platform standard, integrated with the customer's core applications. * Manage technical governance, and a delivery operating model and governance. * Ensure instance health by working with the engagement team to reduce technical debt and align to ServiceNow leading practices. * Support the sales effort by scoping and estimating the engagement and change orders. * Be an active contributor of leading practices and expertise related to the ServiceNow platform. ## Qualifications To be successful in this role you have: * Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analysing AI-driven insights, or exploring AI’s potential impact on the function or industry. * 8+ years progressive experience as part of a professional services (SaaS) organization; or equivalent education/experience * Management consulting experience * Success driving complex issues through analysis and resolution * Industry domain expertise * Large program experience leading architecture and design * Enterprise architecture experience * Cloud application technology experience * Right to work in the UK ## Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. [Learn more here](https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/doc-type/other-document/careers/new-world-of-work-personas.pdf). Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [talent.acquisition@servicenow.com](mailto:talent.acquisition@servicenow.com) for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license.", "summaryDescription" : "Senior Platform Architect at ServiceNow", "postedDate" : "2026-06-11T14:54:41.000", "createdAt" : "2026-06-15T21:53:49.616", "lastUpdated" : "2026-06-16T06:02:16.518", "ingestTimestamp" : "2026-06-15T21:53:49.616", "mongoId" : "6a305347f292fd229cf12135", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8c4374d8ee00a0974ead", "title" : "Product Engineer, Product Platform (Frontend)", "company" : "Replit", "industry" : "Engineering", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Foster City, CA", "locations" : [ "Foster City, CA" ], "timestamp" : "2026-06-15T09:20:49.315", "fingerprint" : "e14278c2e2469c835a3d2a4541a4ba08c0d55f8c0a5f5f77e8701bb45c30360c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/replit/657a90d2-23cc-4c86-b9ed-a21900efee0d/application", "externalId" : "657a90d2-23cc-4c86-b9ed-a21900efee0d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Foster City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.5600336,-122.2688522" } ], "locationText" : "Foster City, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "TypeScript, React, Next.js, Node.js, REST, GraphQL", "professionalSkills" : [ "Platform APIs", "Shared primitives", "Technical direction", "Architecture reviews", "Operational expectations" ], "hardSkillsList" : [ "Client performance", "Code migrations", "Staged rollouts" ], "hardSkills" : [ { "name" : "Client performance", "level" : "intermediate" }, { "name" : "Code migrations", "level" : "intermediate" }, { "name" : "Staged rollouts", "level" : "intermediate" } ], "majorSkills" : "Frontend architecture, API layer, Client performance, Testing infrastructure", "majorSkillsList" : [ "Frontend architecture", "API layer", "Client performance", "Testing infrastructure" ], "coreResponsibilities" : "Design platform APIs, Document APIs, Profile user journeys, Instrument user journeys, Ship performance changes, Roll out changes, Document decisions, Document operational expectations, Work with product teams, Turn friction into improvements", "teamCollaboration" : "Engineering; Product; Design; DevEx team; Design Engineering team", "domainKnowledge" : "Frontend platform; Application frameworks; State management; Routing; SSR/CSR; Data layer; Client performance; Design system; High-traffic workloads; Latency-sensitive workloads", "domainList" : [ "frontend-platform", "application-frameworks", "state-management", "routing", "ssr-csr", "data-layer", "client-performance", "design-system", "high-traffic-workloads", "latency-sensitive-workloads" ], "domainSpecificKnowledge" : [ "Frontend platform", "Application frameworks", "State management", "Routing", "SSR/CSR", "Data layer", "Client performance", "Design system", "High-traffic workloads", "Latency-sensitive workloads" ], "documentationSkills" : "API documentation; Architecture diagrams", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "In-office requirement", "outcomesObjectives" : "Product teams ship quickly; Product teams ship reliably", "qualificationsBasic" : "Experience shipping software, Designed frontend architecture, Built API data layer, Measured client performance, Made architecture tradeoffs, Comfortable in modern web stacks", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Replit is a software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit helps more people build and ship software. ABOUT THE TEAM Product Platform builds and owns the shared foundations the rest of Replit is built on: backend infrastructure, connectors, product primitives, and the frontend platform. When these foundations are solid, every other team moves faster. This role goes deep on the frontend platform: the architecture and platform layer behind every core product surface. The work is high-leverage and horizontal, and gives you exposure across the whole of engineering. We are a small, collaborative team that values curiosity and clear thinking over pedigree, and we care more about how you reason and build than the route you took to get here. If you like making other engineers faster, you will fit in here. ABOUT THE ROLE As a Product Engineer focusing on the frontend platform, you will own the frontend architecture behind core product experiences: application frameworks, the API and data layer, testing infrastructure, and client performance. The goal is simple: product teams ship quickly and reliably on what you build. The team’s work is guided by a few simple questions: - Is our core frontend architecture (frameworks, state, routing, SSR/CSR) sound, consistent, and easy to build on? - Is our API and data layer reliable and ergonomic, with clear contracts, sensible error handling, and effective caching? - Are user-facing surfaces fast and well-instrumented, with testing infrastructure that keeps them safe to change? - Is the codebase easy to navigate, change, and extend, including for AI coding agents? You’ll partner closely with engineering, product, and design. You’ll also work with our DevEx team on build tooling and CI/CD, and our Design Engineering team on the design system, to plan, ship, and operate the frontend foundations used across high-traffic, latency-sensitive workloads. WHAT YOU’LL DO - Design platform APIs and shared primitives (not just components) with clear contracts, documentation, and upgrade paths that other teams adopt - Profile and instrument real user journeys, then ship the changes that move the numbers - Roll out cross-cutting changes safely with codemods, migration paths, and staged rollouts - Set technical direction in design and architecture reviews, and document the decisions and operational expectations behind them - Work directly with product teams to turn their friction into reusable platform improvements REQUIRED SKILLS AND EXPERIENCE - Experience shipping and operating user-facing software in production - Designed frontend architecture other teams build on (frameworks, state, routing, SSR/CSR, migrations) - Built and operated an API/data layer (REST/GraphQL, error handling, caching) - Measured and improved client performance with instrumentation and monitoring - Made and explained architecture tradeoffs across UX, correctness, delivery speed, and maintainability - Comfortable in modern web stacks (TypeScript, React, Next.js, Node.js) If you’re excited about this role but don’t meet every requirement, we still encourage you to apply. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: \uD83D\uDCB0 Competitive Salary & Equity \uD83D\uDCB9 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance \uD83E\uDE7C Short Term and Long Term Disability \uD83D\uDEBC Paid Parental, Medical, Caregiver Leave \uD83C\uDFDD Flexible Time Off (FTO) + Holidays \uD83D\uDE97 Commuter Benefits (In-Office Only) \uD83D\uDCF1 Monthly Wellness Stipend \uD83E\uDDD1‍\uD83D\uDCBB Autonomous Work Environment \uD83D\uDDA5 In Office Set-Up Reimbursement (In-Office Only) \uD83D\uDE80 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Meet the Replit Agent https://www.youtube.com/watch?v=IYiVPrxY8-Y - Replit: Make an app for that https://www.youtube.com/watch?v=4zd9hzngFwY - Replit Blog https://blog.replit.com/ - Amjad TED Talk https://youtu.be/kCudFI4tcpg?si=l4ViCejV_f2RZkDi Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.", "summaryDescription" : "Product Engineer, Product Platform (Frontend) at Replit. Skills: Frontend architecture, API layer, Client performance, Testing infrastructure. Design platform APIs. Document APIs", "createdAt" : "2026-06-14T04:59:53.657", "lastUpdated" : "2026-06-15T09:20:49.315", "ingestTimestamp" : "2026-06-14T04:59:53.657", "mongoId" : "6a2c8c4374d8ee00a0974ead", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Client performance", "Code migrations", "Staged rollouts", "Frontend architecture", "API layer", "Testing infrastructure", "Platform APIs", "Shared primitives", "Technical direction", "Architecture reviews", "Operational expectations", "Frontend platform", "Application frameworks", "State management", "Routing", "SSR/CSR", "Data layer", "Design system", "High-traffic workloads", "Latency-sensitive workloads" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a9f4074d8ee00a06a5c53", "title" : "Product Owner, AI Agents and Platform", "company" : "Jerry.ai", "industry" : "Product", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "New York, New York", "Boston, Massachusetts", "Los Angeles, California", "Atlanta, Georgia", "Chicago, Illinois", "Toronto, Ontario" ], "timestamp" : "2026-06-13T08:47:30.142", "fingerprint" : "41c66972757333a43fcd6fa9f4ea213ed355908fa20543e127bbe1451ac80d4b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/a048801f-ac5d-4fb0-bbff-5ff8ba8b67d0/application", "externalId" : "a048801f-ac5d-4fb0-bbff-5ff8ba8b67d0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "LLMs, APIs", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "System architecture", "API design" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Automation rates" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Automation rates", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI, LLMs, Product management", "majorSkillsList" : [ "AI", "LLMs", "Product management" ], "coreResponsibilities" : "Lead end-to-end development for AI platform, Shape how LLM systems redefine industry, Partner with engineers to design prompt strategies, Partner with engineers to design evaluation frameworks, Partner with engineers to design guardrails, Serve as technical translator, Establish AI best practices, Establish platform standards, Drive systematic improvement in answer quality, Drive systematic improvement in customer satisfaction, Drive systematic improvement in automation rates, Work with partners to evaluate voice models, Work with partners to deploy voice models, Work with partners to evaluate workflow automation, Work with partners to deploy workflow automation", "teamCollaboration" : "Cross-functional collaboration", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Car ownership; LLMs; Agents; AI platform; Voice models; Workflow automation", "domainList" : [ "car-ownership", "llms", "agents", "ai-platform", "voice-models", "workflow-automation" ], "domainSpecificKnowledge" : [ "Car ownership", "LLMs", "Agents", "AI platform", "Voice models", "Workflow automation" ], "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Systems thinker", "outcomesObjectives" : "Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "4+ years experience in management consulting, 4+ years experience in technical product management, Familiar with SQL", "qualificationsPreferred" : "Proven interest in modern LLM systems, Ability to navigate technical tradeoffs, Lead by example implementing AI platform standards, Track record of turning ideas into products", "remoteFriendly" : true, "rawDescription" : "WHY JERRY.AI http://Jerry.ai? - We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Product Owner, AI Agents and Platform at Jerry.ai. Skills: AI, LLMs, Product management. Lead end-to-end development for AI platform. Shape how LLM systems redefine industry", "postedDate" : "2026-06-11T16:52:18.458", "createdAt" : "2026-06-11T16:52:18.458", "lastUpdated" : "2026-06-13T08:47:30.142", "ingestTimestamp" : "2026-06-11T16:52:18.458", "mongoId" : "6a2a9f4074d8ee00a06a5c53", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Automation rates", "Leadership", "AI", "LLMs", "Product management", "Product strategy", "Roadmap development", "User stories", "System architecture", "API design", "Roadmap", "Car ownership", "Agents", "AI platform", "Voice models", "Workflow automation" ], "skillCount" : 18, "jobCategory" : "product", "jobSubcategory" : "product-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive" }, { "id" : "6a25249b74d8ee00a00e281a", "title" : "Product Owner, AI Agents and Platform", "company" : "Jerry.ai", "industry" : "Product", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "New York, New York", "Boston, Massachusetts", "Los Angeles, California", "Atlanta, Georgia", "Chicago, Illinois", "Toronto, Ontario" ], "timestamp" : "2026-06-13T02:29:30.219", "fingerprint" : "e453ab93203ef88e44264a16600263df9945cea2fff34e8ea101dcdbe171719b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/9d66f346-cf2a-4681-ab02-595142e15268/application", "externalId" : "9d66f346-cf2a-4681-ab02-595142e15268", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "LLMs, APIs", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "System architecture", "API design" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Automation rates" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Automation rates", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI, LLMs, Product management", "majorSkillsList" : [ "AI", "LLMs", "Product management" ], "coreResponsibilities" : "Lead end-to-end development for AI platform, Shape how LLM systems redefine industry, Partner with engineers to design prompt strategies, Partner with engineers to design evaluation frameworks, Partner with engineers to design guardrails, Serve as technical translator, Establish AI best practices, Establish platform standards, Drive systematic improvement in answer quality, Drive systematic improvement in customer satisfaction, Drive systematic improvement in automation rates, Work with partners to evaluate voice models, Work with partners to deploy voice models, Work with partners to evaluate workflow automation, Work with partners to deploy workflow automation", "teamCollaboration" : "Cross-functional collaboration", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Car ownership; LLMs; Agents; AI platform; Voice models; Workflow automation", "domainList" : [ "car-ownership", "llms", "agents", "ai-platform", "voice-models", "workflow-automation" ], "domainSpecificKnowledge" : [ "Car ownership", "LLMs", "Agents", "AI platform", "Voice models", "Workflow automation" ], "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Systems thinker", "outcomesObjectives" : "Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "4+ years experience in management consulting, 4+ years experience in technical product management, Familiar with SQL", "qualificationsPreferred" : "Proven interest in modern LLM systems, Ability to navigate technical tradeoffs, Lead by example implementing AI platform standards, Track record of turning ideas into products", "remoteFriendly" : true, "rawDescription" : "WHY JERRY.AI http://Jerry.ai? - We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. 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Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United Kingdom-England-London", "summaryDescription" : "Project Architect for Social Infrastructure. Skills: Architecture, Autodesk Revit. Prepare architectural contract documents. Layout architectural contract documents", "createdAt" : "2026-06-14T20:44:31.246", "lastUpdated" : "2026-06-16T00:34:06.920", "ingestTimestamp" : "2026-06-14T20:44:31.246", "mongoId" : "6a16291c58b93c861e95a307", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Contract document preparation", "Specification writing", "Architecture", "Autodesk Revit", "Problem-solving", "Graphic presentation", "Project Schedule", "Social Infrastructure", "Registered Architect", "Microsoft Word", "Microsoft Excel", "Microsoft Project Schedule" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "69d3e6b82beec4dd3d3f7354", "title" : "Sr. Camera Architect, Hardware-Technology & Archit", "company" : "Amazon.com Services LLC", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 157900.0, "max" : 213600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T04:26:37.881", "fingerprint" : "fe9e05ef6499fec9862c47e13560cdc22865464fb0dcf48fffea3aa8194c3157", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384114/apply", "externalId" : "515b7c12-c8b1-4afd-8d74-54c721450982", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Image processing, ISP tuning, Camera control algorithms, Signal optimization", "professionalSkills" : [ "System design", "Data-driven decision making" ], "hardSkillsList" : [ "Optical system design", "Optical system simulation", "Optical system analysis", "Image quality assessment", "Failure analysis" ], "softSkillsList" : [ "Technical leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Optical system design", "level" : "intermediate" }, { "name" : "Optical system simulation", "level" : "intermediate" }, { "name" : "Optical system analysis", "level" : "intermediate" }, { "name" : "Image quality assessment", "level" : "intermediate" }, { "name" : "Failure analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Technical leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Camera system architecture, Camera system design, Image sensors, ISP pipelines", "majorSkillsList" : [ "Camera system architecture", "Camera system design", "Image sensors", "ISP pipelines" ], "coreResponsibilities" : "Design complete camera solutions, Own end-to-end camera system design, Define camera system specifications, Perform detailed optical system design, Perform detailed optical system simulation, Perform detailed optical system analysis, Drive component selection, Partner with image quality team, Work with hardware engineers, Drive camera system validation, Communicate technical recommendations, Influence product decisions", "teamCollaboration" : "Cross-functional teams; Hardware engineering; Computer vision; Machine learning; Product management; Image quality team; Cross-functional agile teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Consumer electronics; Optics; Illumination; Reliability; Thermal management; Image processing; Image sensors; ISP pipelines; Camera systems", "domainList" : [ "consumer-electronics", "optics", "illumination", "reliability", "thermal-management", "image-processing", "image-sensors", "isp-pipelines", "camera-systems" ], "domainSpecificKnowledge" : [ "Consumer electronics", "Optics", "Illumination", "Reliability", "Thermal management", "Image processing", "Image sensors", "ISP pipelines", "Camera systems" ], "communicationSkills" : "Technical recommendations; Leadership level communication", "innovationCreativity" : "Innovative Camera Architect", "problemSolvingSkills" : "System-level analysis; Design tradeoffs; Decompose system-level problems", "outcomesObjectives" : "Define imaging excellence; Deliver best-in-class imaging solutions", "qualificationsBasic" : "Experience with project management, Bachelor's degree in electrical engineering or computer engineering, 5+ years of experience in camera system architecture, 5+ years of experience in camera system design, 5+ years of experience in camera system manufacture for consumer electronics, Deep understanding of camera systems, Proven ability to perform system-level analysis, Proven ability to perform design tradeoffs, Experience with vendor management, Experience with component qualification processes", "qualificationsPreferred" : "Master's or PhD in Physics, Engineering, Computer Science, or Imaging Science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Lab126 is seeking an innovative Camera Architect to design complete camera solutions that define imaging excellence for our next-generation consumer electronics devices. You will work at the intersection of hardware, algorithms, and user experience to deliver best-in-class imaging solutions that delight our customers. As a Camera Architect, you'll own end-to-end camera system design from sensor selection, optics, illumination, and ISP integration. This is the design of complex camera systems where optics, electronics, reliability, thermal management, and image processing converge. You'll balance conflicting requirements from industrial design, cost, performance, and manufacturability while collaborating with cross-functional teams including hardware engineering, computer vision, machine learning, and product management. You are at the center of Amazon's imaging excellence, surrounded by experts in optics, sensors, ISP, and algorithms, who can rapidly prototype and validate ideas. The role offers genuine technical leadership where you'll own complex architectural initiatives, decompose system-level problems for parallel execution, set engineering standards, and mentor others while staying hands-on with the most challenging technical problems. Key job responsibilities • Own end-to-end camera system architecture including sensor selection, lens architecture, and IR/visible illumination. • Define camera system specifications balancing image quality, cost, power, and manufacturability across diverse lighting conditions • Perform detailed optical system design, simulation, and analysis to evaluate design alternatives • Drive component selection through simulations, rigorous testing, vendor evaluation, and data-driven decision making • Partner with image quality team on ISP tuning, camera control algorithms, and signal optimization. Work with hardware engineers on module integration, thermal management, and manufacturing • Drive camera system validation including optical bench testing, image quality assessment, and failure analysis • Communicate technical recommendations and influence product decisions at the leadership level Basic Qualifications: - Experience with the project management of technical projects - Bachelor's degree in electrical engineering, computer engineering, or equivalent - 5+ years of experience in camera system architecture, camera system design, and manufacture for consumer electronics - Deep understanding of camera systems including optics, image sensors, ISP pipelines, and illumination - Proven ability to perform system-level analysis and design tradeoffs - Experience with vendor management and component qualification processes Preferred Qualifications: - Master's or PhD in Physics, Engineering, Computer Science, Imaging Science, or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Sunnyvale - 157,900.00 - 213,600.00 USD annually", "summaryDescription" : "Sr. Camera Architect, Hardware-Technology & Archit at Amazon.com Services LLC. Skills: Camera system architecture, Camera system design, Image sensors, ISP pipelines. Design complete camera solutions. 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Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United Kingdom-England-London", "summaryDescription" : "Architect for Data Center Projects. Skills: Architecture, Data Center Projects. Participate in employee-owned culture", "createdAt" : "2026-06-14T18:51:09.221", "lastUpdated" : "2026-06-16T02:44:56.946", "ingestTimestamp" : "2026-06-14T18:51:09.221", "mongoId" : "6a16291c58b93c861e95a00d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Graphic presentation", "Architecture", "Data Center Projects", "Leadership", "Relationship management", "Analytical skills", "Problem-solving skills", "Project management", "Registered Architect", "Microsoft Word", "Microsoft Excel", "Microsoft Project", "Autodesk Revit" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2a475074d8ee00a05d9391", "title" : "Senior Product Manager I, Data Platform and Platform API", "company" : "HubSpot", "salary" : { "min" : 170000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in the US SaaS industry, adjusted for company size and remote work." }, "location" : "Remote - USA", "locations" : [ "Remote - USA" ], "timestamp" : "2026-06-14T16:17:47.871", "fingerprint" : "abb5223b685a213a257949be5a20aec254562a27876d80ddb25c929c3c7593b2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.hubspot.com/careers/jobs/7666075?gh_jid=7666075", "externalId" : "7666075", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data modeling, Schema design, Metadata systems, REST, GraphQL, AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional 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"intermediate" }, { "name" : "Schema design", "level" : "intermediate" }, { "name" : "Metadata systems", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" }, { "name" : "API quality", "level" : "intermediate" }, { "name" : "API consistency", "level" : "intermediate" }, { "name" : "Backward compatibility", "level" : "intermediate" }, { "name" : "Forward-looking", "level" : "intermediate" }, { "name" : "Data complexity", "level" : "intermediate" }, { "name" : "API friction", "level" : "intermediate" }, { "name" : "Developer ergonomics", "level" : "intermediate" }, { "name" : "Technical comfort", "level" : "intermediate" }, { "name" : "Architecture diagrams", "level" : "intermediate" }, { "name" : "ERDs", "level" : "intermediate" }, { "name" : "API contracts", "level" : "intermediate" }, { "name" : "Product vision articulation", "level" : "intermediate" }, { "name" : "Customer needs understanding", "level" : "intermediate" }, { "name" : "Decision making", "level" : "intermediate" }, { "name" : "Assumption testing", "level" : "intermediate" }, { "name" : "Iteration", "level" : "intermediate" }, { "name" : "Adaptability", "level" : "intermediate" }, { "name" : "Competitive analysis", "level" : "intermediate" }, { "name" : "AI infrastructure", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Agency ownership" }, { "name" : "Architectural intuition" }, { "name" : "Strategic thinking" }, { "name" : "High agency" } ], "majorSkills" : "Data modeling, Platform API, Schema extensibility, Developer ecosystem", "majorSkillsList" : [ "Data modeling", "Platform API", "Schema extensibility", "Developer ecosystem" ], "coreResponsibilities" : "Create shared vision and roadmap, Own API mission for Data Platform, Define standards for data layer surfacing, Set direction for API quality, Coordinate API capability unlocks, Drive alignment on schema evolution, Guide new product ideas through launch, Ship improvements to customer data model management, Understand customer data complexity, Engage with customers directly, Use data and developer research, Identify friction in API surface, Devise strategy to address friction, Partner with engineering to ship improvements, Represent data primitives and API roadmap", "teamCollaboration" : "Cross-functional teams; Ecosystem and Partnerships teams; PMs, engineers, and architects; Marketing, Sales, Service, and AI Agents; Senior leadership; Ecosystem partners; Key enterprise customers; UX and Engineering; Colleagues in UX and Engineering", "projectManagementSkills" : [ "Roadmap", "Product strategy" ], "domainKnowledge" : "Data modeling concepts; Metadata systems; CRM data model; REST APIs; GraphQL APIs; AI products; Agentic experiences; Data platforms; Developer tooling; Schema extensibility; Developer ecosystem", "domainList" : [ "data-modeling-concepts", "metadata-systems", "crm-data-model", "rest-apis", "graphql-apis", "ai-products", "agentic-experiences", "data-platforms", "developer-tooling", "schema-extensibility", "developer-ecosystem" ], "domainSpecificKnowledge" : [ "Data modeling concepts", "Metadata systems", "CRM data model", "REST APIs", "GraphQL APIs", "AI products", "Agentic experiences", "Data platforms", "Developer tooling", "Schema extensibility", "Developer ecosystem" ], "communicationSkills" : "Articulate product vision", "problemSolvingSkills" : "Identify opportunities; Weigh tradeoffs; Make decisions; Test assumptions; Iterate", "outcomesObjectives" : "Evolve foundational system without breaking; Measurably improve developer experience", "qualificationsBasic" : "Experience launching products, Deep fluency in data modeling concepts, Ability to read and write technical, Ability to articulate product vision, Deep respect for expertise, Drive to understand customer needs, Desire to understand how HubSpot products work, Ability to make decisions, Demonstrated ability to adapt, Understanding of competitive software space", "qualificationsPreferred" : "Platform, data infrastructure, or developer tooling contexts, Owning or contributing to a metadata platform, data catalog, or CRM data model, Shaped REST or GraphQL APIs, Reason about versioning, backward compatibility, latency tradeoffs, and developer ergonomics, Multidisciplinary approach to thinking, Experience using or building supporting infrastructure for AI products and agentic experiences", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "POS-26278 Senior Product Manager I (Data Platform and Platform API) HubSpot CRM is the foundation of how hundreds of thousands of businesses manage their customers, pipelines, and growth. Underneath every contact, deal, ticket, and custom object is a shared data model, and a set of primitives that defines how data is structured, related, and accessed across the entire platform. The Data Platform organization owns those primitives, and will evolve how they enable customers, partners, and developers to use and extend HubSpot. HubSpot’s data model is an industry differentiator and primary reason why our customers choose HubSpot. We're looking for a Senior Technical Product Manager to own two of the highest-leverage surface areas in this organization: (1) the core data constructs that define HubSpot's schema — objects and the metadata infrastructure that governs them and (2) the API mission for the Data Foundations org, setting the standard for how our data layer is accessed, extended, and built upon by developers and partners. This is a highly technical role that will require high agency ownership throughout the organization and with our customers, partners, and developers. The decisions you make here ripple across every product team at HubSpot and every developer building on our platform. You'll need to bring both a strong architectural intuition for data modeling and the strategic PM experience to evolve a foundational system without breaking what already works — for customers, for developers, and for the AI-powered products being built on top of it. This is a career-defining challenge for the right product mind. In this role you’ll get to: Create a shared vision and cohesive roadmap for HubSpot's data primitives — objects, properties, property groups, associations, and the metadata systems that make them discoverable and extensible Own the API mission for Data Platform: define standards for how our data layer is surfaced to developers, set the direction for API quality and consistency, and coordinate with Ecosystem and Partnerships teams on where API capability unlocks platform value Drive alignment on schema evolution across HubSpot — working with PMs, engineers, and architects across Marketing, Sales, Service, and AI Agents to ensure the data model grows in a way that's backward-compatible and forward-looking Guide new product ideas from initial concept all the way through launch, including shipping improvements to how customers define and manage their own data model in HubSpot Understand our customers and their data complexity by engaging with them directly — from SMBs managing simple contact records to enterprise teams running sophisticated multi-object data architectures Use data and developer research to identify friction in our API surface, devise strategy to address it, and partner with engineering to ship improvements that measurably improve developer experience Represent the data primitives and API roadmap to senior leadership, Ecosystem partners, and key enterprise customers We are looking for people who have: Experience launching products successfully to customers, ideally in platform, data infrastructure, or developer tooling contexts Deep fluency in data modeling concepts — entity-relationship modeling, schema design, metadata systems, and data normalization; experience owning or contributing to a metadata platform, data catalog, or CRM data model is a strong plus Strong API intuition — you've shaped REST or GraphQL APIs and can reason about versioning, backward compatibility, latency tradeoffs, and developer ergonomics A multidisciplinary approach to thinking, combining market, business, and technical insights to identify opportunities and weigh tradeoffs The ability to read and write technical specs; comfort reviewing architecture diagrams, ERDs, and API contracts The ability to articulate product vision to a variety of audiences — engineers, executives, and external developers A deep respect for the expertise and insights of their collaborators, including engineering, design, UX research, analytics, and others A drive to understand customer needs deeply and to truly solve for their problems, including enterprise customers with sophisticated data requirements A desire to understand how HubSpot products work — and how they depend on the data model underneath The ability to make decisions, test assumptions, and iterate — often without perfect information Demonstrated ability to adapt in an innovative and fast-paced environment An understanding of the competitive software space, including how other CRM and data platforms approach schema extensibility and developer ecosystem Experience using or building supporting infrastructure for AI products and agentic experiences As a member of the Product Management org at HubSpot you’ll: Join a product-led culture that truly puts the customer first Create and advance an ambitious product strategy that’s driven by customer needs, business goals, powerful data, and global market indicators Partner closely with colleagues in UX and Engineering to create a high-value product that’s both powerful and easy to use Use your voice, share your perspective, and have a real impact based on your point of view Know what will lead to getting promoted, and why, thanks to clear expectations and robust career paths Be empowered to show up as your authentic self and choose a work style and location where you can do your best work, whether that’s at home, in an office, or a blend of the two. Read more about our shared product principles here. Pay & Benefits The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons. This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy. Benefits are also an important piece of your total compensation package. Explore the benefits and perks HubSpot offers to help employees grow better. At HubSpot, fair compensation practices aren’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community. Annual Cash Compensation Range: $140,000—$210,000 USD We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you. If you need accommodations or assistance due to a disability, please reach out to us using this form. At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections. If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here. India Applicants: link to HubSpot India's equal opportunity policy here. About HubSpot HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers. At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow. We’re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too. Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world. Explore more: HubSpot Careers Life at HubSpot on Instagram HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. We may use CLEAR ID Verification during the hiring process to confirm your identity and help maintain a safe, secure, and trusted experience for all candidates. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.", "summaryDescription" : "Senior Product Manager I, Data Platform and Platform API at HubSpot. Skills: Data modeling, Platform API, Schema extensibility, Developer ecosystem. Create shared vision and roadmap. Own API mission for Data Platform", "postedDate" : "2026-06-11T23:42:11.617", "createdAt" : "2026-06-11T23:42:11.617", "lastUpdated" : "2026-06-14T16:17:47.871", "ingestTimestamp" : "2026-06-11T23:42:11.617", "mongoId" : "6a2a475074d8ee00a05d9391", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Schema design", "Metadata systems", "API design", "API quality", "API consistency", "Backward compatibility", "Forward-looking", "Data complexity", "API friction", "Developer ergonomics", "Technical comfort", "Architecture diagrams", "ERDs", "API contracts", "Product vision articulation", "Customer needs understanding", "Decision making", "Assumption testing", "Iteration", "Adaptability", "Competitive analysis", "AI infrastructure", "Agency ownership", "Architectural intuition", "Strategic thinking", "High agency", "Platform API", "Schema 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"estimation_basis" : "Market baseline for an Executive Enterprise Platform Architect & Tech Lead in Brussels, Belgium, adjusted for senior experience and the e-commerce industry." }, "location" : "Brussels (Auderghem), BE", "locations" : [ "Brussels (Auderghem)", "BE" ], "timestamp" : "2026-06-15T08:29:55.247", "fingerprint" : "d0ee61cfc20f0a1e380a145497f83b622b1a44cae2f0f140e20205e5565ed7c9", "source" : "personio", "language" : "en", "applyUrl" : "https://stanley-stella.jobs.personio.de/job/2665242", "externalId" : "2665242", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brussels", "country" : "Belgium", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.8467372,4.3524930" } ], "locationText" : "Brussels, Belgium", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "API design, Event-driven architecture, Domain-driven design, Infor M3, HubSpot API, Magento, Adobe 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: [ { "name" : "Architecture standards", "level" : "intermediate" }, { "name" : "Design patterns", "level" : "intermediate" }, { "name" : "Decision logs", "level" : "intermediate" }, { "name" : "Architecture review", "level" : "intermediate" }, { "name" : "Pattern libraries", "level" : "intermediate" }, { "name" : "Technical debt management", "level" : "intermediate" }, { "name" : "Security best practices", "level" : "intermediate" }, { "name" : "Resilience best practices", "level" : "intermediate" }, { "name" : "Performance best practices", "level" : "intermediate" }, { "name" : "Observability best practices", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Technical authority" }, { "name" : "Pragmatic" }, { "name" : "Solution-oriented" }, { "name" : "Systemic vision" }, { "name" : "Adaptability" } ], "majorSkills" : "Enterprise Platform Architecture, Tech Lead, AI Integration, Platform Integration", "majorSkillsList" : [ "Enterprise Platform Architecture", "Tech Lead", "AI 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Enforce security best practices, Enforce resilience best practices, Enforce performance best practices, Enforce observability best practices, Define architecture standards, Enforce architecture standards, Define design patterns, Enforce design patterns, Maintain architecture documentation, Establish guidelines for teams, Establish guidelines for vendors, Establish guidelines for partners, Ensure ecosystem consistency, Own decision logs, Own architecture review processes, Own pattern libraries, Document technical decisions, Justify technical decisions, Trace technical decisions, Define onboarding standards, Enable fast integration, Enable reliable integration", "teamCollaboration" : "Communities of practice; Cross-functional teams; Engineering teams; Vendor collaboration", "domainKnowledge" : "Enterprise platforms; Digital transformation; Customer experience; International ecosystem; ERP integration; CRM integration; E-commerce integration; Cloud-native architecture; API-based 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shift; Achieve scalable impact; Support future growth", "qualificationsBasic" : "10+ years architecture/technical leadership, B2B experience, Magento experience, Azure cloud infrastructure experience, Power BI experience", "qualificationsPreferred" : "Fluent in French, Fluent in Dutch", "rawDescription" : "Your purpose at Stanley/Stella Stanley/Stella is accelerating its digital transformation to strengthen customer experience and scale its business platforms across an international ecosystem of decorators, resellers, and partners. The Enterprise Platform Architect & Tech Lead acts as the company’s senior technical authority , reporting directly to the CIO. This role defines, governs, and continuously evolves the technology foundations of the enterprise ensuring coherence, scalability, resilience, and security across all platforms, integrations, and data capabilities. This is a cross-cutting technical mandate not a functional management role with accountability for integrating, securing, and anticipating technologies across the organization. The role prevents fragmentation, avoids short-term decisions with long-term consequences, and translates emerging technologies into robust, production-ready foundations . A key and immediate priority is to lead the integration of AI technologies including RAG pipelines, agentic workflows, orchestration tools, low-code platforms, and API-based integrations across the company’s core stack: Infor M3, HubSpot, Magento, Azure, and Power BI . Your role and impact 1. Integrate and scale AI technologies AI is a core priority of this role. You lead the shift from experimentation to real, scalable impact . Design and implement RAG (Retrieval-Augmented Generation) architectures leveraging company data for intelligent search and decision support Assess and deploy agentic workflows orchestrating processes across ERP, CRM, and e-commerce platforms Leverage N8N and similar orchestration tools to automate workflows across systems Drive adoption of low-code / no-code platforms within controlled and governed frameworks (e.g. Make, Bubble, Lovable) Ensure API-first AI integration : reusable, composable, auditable services Lead proof-of-concepts and transform successful experiments into enterprise-grade solutions Build and govern a central AI and application toolkit , tracking usage and performance Enable future AI use cases such as product recommendations, pricing optimisation, demand forecasting, process automation, intelligent customer interaction 2. Foster communities and drive adoption Build and lead communities of practice across architecture, data, AI, and digital tools Promote tools, standards, and good practices through workshops, documentation, and internal communication Engage credibly with both technical and non-technical stakeholders Act as a trusted voice on technology topics across the organisation 3. Integrate across the technology landscape The company’s core stack Infor M3 (ERP), HubSpot (CRM), Magento (e-commerce), Azure (cloud), Power BI (analytics) must operate as a coherent ecosystem . Define and evolve the target architecture of the digital platform Ensure end-to-end integration across systems Govern data flows, APIs, and shared services Define scalable integration patterns and eliminate point-to-point connections Support and challenge engineering teams and vendors without becoming a bottleneck 4. Secure the foundations Identify and address structural technical debt early Balance innovation speed with long-term sustainability Structure data foundations as a shared enterprise capability (Azure & Power BI) Enforce best practices in security, resilience, performance, observability 5. Define and enforce standards, patterns, and documentation Define and govern architecture standards and design patterns across all domains Maintain clear and usable architecture documentation (topology, data models, integrations, APIs, security) Establish guidelines for teams, vendors, and partners to ensure consistency across the ecosystem Own: decision logs, architecture review processes, pattern libraries Ensure all major technical decisions are documented, justified, and traceable Define onboarding standards enabling fast and reliable integration of new teams and partners Scope Evolution Depending on the candidate’s profile and the evolution of the IT organisation, the CIO may extend the scope of this role to include direct management responsibility over the following teams. All such decisions remain at the CIO’s sole discretion. Azure Architecture & Security: lead the Azure architect and security function, ensuring full alignment with enterprise standards and infrastructure strategy System Administration: oversee the sysadmin function, ensuring platform stability, performance and operational security across all environments Technical Support Team: manage the technical support unit, driving service quality, incident resolution and operational continuity About you Experience 10+ years in architecture / technical leadership roles in complex enterprise environments, with strong exposure to B2B and/or B2C commercial platforms, marketplace models and omnichannel customer experiences Hands-on familiarity with ERP-centric environments (Infor M3 or equivalent), CRM platforms (HubSpot or equivalent), e-commerce platforms (Magento or equivalent), Azure cloud infrastructure and Power BI Proven track record of establishing and maintaining technical standards, architecture documentation and governance frameworks Proven track record of taking AI or automation initiatives from experimentation to production Experience working across multiple IT domains in an international environment at different levels of maturity and execution velocity Short-Term Priority In the near term, the role will focus on structuring and scaling the customer-facing technology ecosystem : E-commerce (Magento) CRM (HubSpot) Digital and omnichannel experiences Objective: ensure the stack is scalable, integrated, and ready to support future growth . Technical Skills Architecture & Governance: Enterprise & platform architecture on Azure; API design & management; event-driven architecture; domain-driven design (DDD); architecture documentation and decision record practices Platform & Integration Stack: Infor M3 integration patterns; HubSpot API and CRM data model; Magento (Adobe Commerce) architecture; Azure services (hosting, networking, identity, monitoring); Power BI data flows and semantic layer AI & Automation: RAG pipeline design and deployment; AI agent frameworks; N8N or equivalent orchestration platforms; low-code and no-code integration platforms including evaluation of tools such as Lovable, Make and Bubble; LLM integration patterns and API-based AI service design; knowledge graph and knowledge base design Data: Data modelling & pipelines; semantic layer; analytics foundations; ML-ready data preparation Leadership & Soft Skills Strong technical authority — able to set direction and maintain architectural integrity Pragmatic and solution-oriented, with a long-term systemic vision Ability to simplify complexity and support decision-making at senior level Excellent written communication — producing documentation that teams actually use Comfortable promoting technologies and best practices across the organisation High adaptability in complex, fast-evolving environments Fluent in English; French and Dutch are strong assets If you’re looking to shape the core technology of a growing international company , and bring structure, clarity, and impact at scale - this is your role.", "summaryDescription" : "Enterprise Platform Architect & Tech Lead at Stanley/Stella. Skills: Enterprise Platform Architecture, Tech Lead, AI Integration, Platform Integration. Integrate and scale AI technologies. Design RAG architectures", "createdAt" : "2026-06-14T06:56:48.803", "lastUpdated" : "2026-06-15T08:29:55.247", "ingestTimestamp" : "2026-06-14T06:56:48.803", "mongoId" : "6a2c732374d8ee00a0932723", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Architecture standards", "Design patterns", "Decision logs", "Architecture review", "Pattern libraries", "Technical debt management", "Security best practices", "Resilience best practices", "Performance best practices", "Observability best practices", "Technical authority", "Pragmatic", "Solution-oriented", "Systemic vision", "Adaptability", "Enterprise Platform Architecture", "Tech Lead", "AI Integration", "Platform Integration", "Enterprise architecture", "Platform architecture", "Technical leadership", "Architecture documentation", "Governance frameworks", "Integration", "Automation initiatives", "System design", "Data governance", "API governance", "Service governance", "Enterprise platforms", "Digital transformation", "Customer experience", "International ecosystem", "ERP integration", "CRM integration", "E-commerce integration", "Cloud-native architecture", "API-based integration", "Low-code platforms", "No-code platforms", "Orchestration tools", "RAG pipelines", "Agentic workflows", "Data foundations", "Scalable integration patterns", "Technical debt", "Security", "Resilience", "Performance", "Observability", "N8N", "Make", "Bubble", "Lovable", "Power BI" ], "skillCount" : 56, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7ed874d8ee00a0953dde", "title" : "Product Lead, Predictive Platform", "company" : "6sense", "industry" : "SaaS", "salary" : { "min" : 215000.0, "max" : 305000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager-level Product Lead in the SaaS industry in San Francisco, adjusted for company size and experience." }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T02:05:38.233", "fingerprint" : "df8720834d4dc3d8a4576981352c141a723af24cf44fee6a80449a213573441e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/6sense/jobs/7994497?gh_jid=7994497", "externalId" : "7994497", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "coreResponsibilities" : "Define product strategy, Develop product roadmap, Write user stories, Collaborate with engineering teams, Collaborate with design teams, Collaborate with marketing teams, Collaborate with sales teams, Gather customer feedback, Analyze market trends, Prioritize product features, Launch new products, Iterate on existing products", "teamCollaboration" : "Cross-functional teams; Engineering; Design; Marketing; Sales", "projectManagementSkills" : [ "Roadmap planning" ], "rawDescription" : "Our Mission: 6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in deﬁning the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. Product Lead, Predictive Platform Are you a strategic thinker with a deep background in predictive modeling and a passion for leading teams? At 6sense, our differentiation is built on our ability to accurately predict intent and buyer behavior. We are looking for a Product Lead to own our Predictive Platform—the foundational engine that powers our entire intelligence layer and defines how the world's leading B2B brands identify their next customers. This is a Player/Coach role. You will be the primary driver of our core predictive foundation and cross-model initiatives while simultaneously serving as the people manager and program leader for a specialized pod of Product Managers. You will oversee the roadmap for how we train, measure, and scale the models that power everything from Fit and Intent to Engagement and Triage. Why 6sense? AI That Builds Pipe, Not Hype: Our Revenue AI™ identifies accounts ready to buy, crafts the right message, and qualifies meetings automatically. We don’t just surface data—we deliver intelligence and action. Crack the Dark Funnel™: Less than 3% of buyers engage early. We uncover hidden buying signals, decode the “breadcrumb trails,” and help revenue teams connect with buyers in ways they never could before. Orchestrate the Full Journey: From dynamic audience creation to multi-channel engagement, we empower marketers to reach the right accounts, at the right time, with the right message—across advertising, email, web, and sales. Arm Operations Teams: Integrate insights, centralize audience creation, and maximize impact by connecting 6sense with your tech stack. We’re the single canvas for your entire GTM strategy. Your Impact As Product Lead, Predictive Platform, you will: Lead and Scale a Specialized Pod. Act as a formal people manager for a pod of Product Managers focused on specialized modeling and intelligence initiatives. You will be responsible for their growth, performance, and alignment with the broader intelligence strategy. Own the Core Predictive Foundation. Personally drive the strategy for our core models. You will define the roadmap for how these models are consumed by downstream applications across the entire 6sense ecosystem. Drive Cross-Model Initiatives. Establish the global standards and methodologies for ongoing model training, feedback loops, and accuracy measurement to ensure our predictions remain the industry benchmark. Maximize Model Leverage. Enforce a \"build once, use everywhere\" philosophy, ensuring that platform engines provide maximum value to all surface apps and specialized use cases. Be a Strategic Partner to Leadership. Partner directly with the Head of Intelligence Product to align the predictive roadmap with company strategy, surfacing model risks early and identifying opportunities for portfolio tradeoffs. Strategic Themes You'll Drive Customer Trust and Reliability. Drive the strategy for building high-integrity intelligence that is trusted by enterprise leaders and adapts to a wide range of global business requirements. Leveraged Engine Strategy. Move toward an operating model where core predictive engines are seamlessly consumed by all App teams, reducing duplication and accelerating time-to-market. Data-to-Model Integrity. Ensure the connective tissue between our data foundation and our predictive layer is robust and high performing. What You'll Bring People Leadership. Proven experience building and leading product teams. You know how to coach PMs through complex roadmaps and create a culture of high accountability. Predictive Product Mastery. Deep expertise in predictive modeling, machine learning lifecycles, and data science collaboration from a product perspective. You have a track record of shipping complex ML-driven products at scale. Operating Rigor. You build operating rhythms that turn messy data and model dependencies into clean execution. You focus on the methodologies that ensure long-term product performance. B2B Mindset. Strong understanding of B2B data models and how predictive scoring drives GTM outcomes. Experience. 8-10+ years in Product Management, with a focus on AI, ML, or Data Science products, including 3-5+ years of formal people management experience. Why You’ll Love This Role Impact: Your work creates the Predictive Core for the entire company, ensuring our foundational modeling engines remain the most accurate and trusted in the B2B market. Innovation: You will define the Predictive Lifecycle Strategy, building the architectural leverage that allows our modeling teams to move from discovery to platform-wide deployment with high velocity. Growth: Join a rocket ship, learn every day, and accelerate your career in a collaborative, high-energy environment. Fun: We take our work seriously, but not ourselves. Expect GIFs, puns, and the occasional ABM meme. Base Salary Range: $188,997.50 - $255,863.00. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy Our Benefits: Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our oﬃces. We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds. Equal Opportunity Employer: 6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com. We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com", "summaryDescription" : "Product Lead, Predictive Platform at 6sense. Define product strategy. Develop product roadmap", "postedDate" : "2026-06-14T20:11:30.091", "createdAt" : "2026-06-14T20:11:30.091", "lastUpdated" : "2026-06-16T02:05:38.233", "ingestTimestamp" : "2026-06-14T20:11:30.091", "mongoId" : "6a2c7ed874d8ee00a0953dde", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 305000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Roadmap planning" ], "skillCount" : 1, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cafed74d8ee00a09d83d0", "title" : "Director of Product - Data Platform and Decision Tooling", "company" : "Skyscanner", "industry" : "Product", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Product in London, UK, adjusted for the technology industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T08:00:16.022", "fingerprint" : "631e7c202e064d4afe1cf26218eca91980ca6f7ea5bbd9e6d2a86d8ba1e5154e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/skyscanner/aa141487-e9b4-43cc-8667-1eab29c0404d/application", "externalId" : "aa141487-e9b4-43cc-8667-1eab29c0404d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "ML, AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "Data delivery", "MLOps", "AI-assisted analytics", "Agentic data engineering", "Data engineering workflows", "Data pipelines", "Data products", "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control" ], "hardSkillsList" : [ "Data modeling", "Data architecture", "Machine learning", "Data warehousing", "Data pipelines", "Data quality management", "Experimentation design", "ML model deployment", "Analytics enablement", "Data engineering automation", "Scalable data delivery", "Metrics definition", "Operating model definition" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data quality management", "level" : "intermediate" }, { "name" : "Experimentation design", "level" : "intermediate" }, { "name" : "ML model deployment", "level" : "intermediate" }, { "name" : "Analytics enablement", "level" : "intermediate" }, { "name" : "Data engineering automation", "level" : "intermediate" }, { "name" : "Scalable data delivery", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Operating model definition", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Platform, Decision Tooling, Product Management", "majorSkillsList" : [ "Data Platform", "Decision Tooling", "Product Management" ], "coreResponsibilities" : "Own a trusted data platform, Lead platform reliability, Lead platform usability, Lead platform governance, Lead platform economic performance, Ensure product teams can test, Ensure product teams can learn, Ensure product teams make decisions quickly, Power production-ready ML, Enable AI-assisted self-serve analytics, Build for agentic data engineering, Shape AI and automation for data engineering, Scale data delivery, Strengthen data movement, Strengthen data transformation, Strengthen data maintenance, Strengthen data serving, Make quality visible, Turn data quality into capability, Shape the operating model, Define interfaces between teams, Connect technical investment to outcomes, Drive experimentation velocity, Drive personalisation, Drive revenue impact, Drive cost control, Drive better product decisions", "teamCollaboration" : "Cross-functional teams; Product engineering teams; Analytics teams; Data science teams; Business teams; AI platform teams; Data platform teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Data platform; Decision tooling; Machine learning; AI; Data quality; Data governance; Data engineering; Travel industry", "domainList" : [ "data-platform", "decision-tooling", "machine-learning", "ai", "data-quality", "data-governance", "data-engineering", "travel-industry" ], "domainSpecificKnowledge" : [ "Data platform", "Decision tooling", "Machine learning", "AI", "Data quality", "Data governance", "Data engineering", "Travel industry" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Faster experimentation; Production-ready ML; Stronger data quality; Scalable delivery; Experimentation velocity; Personalisation; Revenue impact; Cost control; Better product decisions", "qualificationsBasic" : "Platform leader at scale, Product-minded and commercially sharp, Confident with data-powered products, Quality and ownership obsessed, Cross-functional by nature, Direct and pacey, Strategic but sleeves-rolled-up", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Data Platform, Decision Tooling, Product Management. Own a trusted data platform. 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Commitment to building an inclusive workplace and accessible products. Reasonable adjustments or accommodations for interviews are available.", "outcomesObjectives" : "Connect technical investment to outcomes like experimentation velocity, personalization, revenue impact, cost control, and better product decisions.", "qualificationsBasic" : "Platform leader at scale, product-minded and commercially sharp, confident with data-powered products, quality and ownership obsessed, cross-functional by nature, direct and pacey, strategic but sleeves-rolled-up.", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Platform leadership, Product judgement, Commercial impact, Data platform, ML. 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Professional services teams; Support teams; Product teams; AWS partner ecosystem", "domainKnowledge" : "Public Sector; Hyper-scale cloud; Cloud-native reference architectures; Enterprise workloads; Distributed internet-scale applications; DevOps; Serverless; Big Data; Analytics; Machine Learning; High-performance databases; Networking implementations; Secured workloads", "domainList" : [ "public-sector", "hyper-scale-cloud", "cloud-native-reference-architectures", "enterprise-workloads", "distributed-internet-scale-applications", "devops", "serverless", "big-data", "analytics", "machine-learning", "high-performance-databases", "networking-implementations", "secured-workloads" ], "domainSpecificKnowledge" : [ "Public Sector", "Hyper-scale cloud", "Cloud-native reference architectures", "Enterprise workloads", "Distributed internet-scale applications", "DevOps", "Serverless", "Big Data", "Analytics", "Machine Learning", "High-performance databases", "Networking implementations", "Secured workloads" ], "communicationSkills" : "Public speaking; Online videos; Conferences", "documentationSkills" : "White papers; Code samples; Blog posts", "continuousLearning" : "Grow expertise; Learn something new", "innovationCreativity" : "Practice creativity; Define reference architectures; Invent reference architectures", "outcomesObjectives" : "Innovate at speed and scale; Drive successful outcomes; Make the most of the Cloud; Create business value with technology; Educate customers about art of possible; Build the future", "qualificationsBasic" : "Technical Degree or relevant tech experience, Fluent English communication skills, Software, Systems or Data Design experience, Knowledge of a modern programming language", "qualificationsPreferred" : "Experience designing, building, refactoring or operating large scale IT projects, Working knowledge of cloud native architectures, In depth working knowledge in a technology domain, Knowledge of modern data processing techniques, Experience working in a customer-facing role, Experience collaborating with stakeholder groups, AWS certification, Continued or advanced learning", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about cloud technology and helping customers innovate? Join our AWS Solutions Architecture team in Sweden and empower large enterprises across industries to innovate at speed and scale with cloud technologies. We are looking for a skilled, self-motivated technical leader to join a team of supportive, experienced professionals. As a Solutions Architect in the Public Sector team, you get to impact the lives of millions of citizens and help a variety of different customers - all the way from digital-native and government-linked companies to security-focused government agencies. Overall, the customers we work with include government agencies, state-owned companies, educational institutions, healthcare and non-profit organizations. Our Public Sector teams help customers build a deeper understanding of hyper-scale cloud technology and application architectures, and they have the consultative skills required to drive successful outcomes. Solutions Architects work hand in hand with AWS customers to help them make the most of the Cloud. They are at the crossroads of business and technology and engage with organizations at all stages of cloud adoption. Solutions Architects also take a leading role in creating and presenting technical content and best practices. Solutions Architects own the overall technical relationship between customers and AWS and make recommendations on security, cost, performance, reliability and operational efficiency. They work to understand the customer's business needs and give prescriptive guidance on how to create business value with technology. To do this they collaborate with other teams such as account management, professional services, support, product teams and the AWS partner ecosystem. In this role you will get to practice your creativity, linking technology to tangible solutions and educating AWS customers about the art of the possible. You will have the opportunity to define or invent cloud-native reference architectures for a variety of use cases. The Solutions Architecture team is a diverse group of technologists from a variety of backgrounds. Practical knowledge of the AWS platform is desired but not required, provided you have a sound technical foundation and a desire to learn. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will learn something new from your customers, your peers and your own experiments. At Amazon you will be encouraged and rewarded for doing what is right for the long-term success of the customer. We value your passion to discover, invent and build on behalf of customers. If you can educate AWS customers about the art of the possible, while investigating the impossible, come build the future with us. Key job responsibilities - As a Solutions Architect, you will work directly with customers to accelerate their projects and recommend best-practice architectures in line with their long-term business outcomes. - You will own the technical relationship with the customer and operate as their trusted advisor. The best interests of the customer will shape the guidance you provide. - Share the voice of the customer to influence the roadmap of new features and services for the AWS platform. - Create and capture best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts). - Evangelize and educate about AWS technology (e.g. workshops, user groups, meetups, public speaking, online videos or conferences). - Contribute to the growth of the Solutions Architecture organization by hiring, coaching and mentoring others. - Develop areas of depth in technical domains relevant to your interests and your customer's outcomes. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - Technical Degree (Computer Science, Maths, Engineering or equivalent) and/or relevant tech experience - Fluent written and verbal communication skills in English - Experience of Software, Systems or Data Design - Knowledge of a modern programming language (Python, JavaScript, Go, .Net, Java, etc.) - Passion for technology and for learning Preferred Qualifications: - Experience designing, building, refactoring or operating large scale and impactful IT projects - either on premises or in the cloud - Working knowledge of cloud native architectures - In depth working knowledge in a technology domain such as distributed internet-scale web or mobile applications, DevOps, Serverless, Big Data, analytics, Machine Learning, enterprise workloads (SAP, VMware, Windows etc.), high-performance databases (SQL and/or NoSQL), complex networking implementations, highly secured workloads etc. - Knowledge of modern data processing techniques and systems - Experience working in a customer-facing role - Experience collaborating effectively with internal or external stakeholder groups at multiple levels - AWS certification (e.g. AWS Solutions Architect Associate or Professional) - Continued or advanced learning (Master, MBA, PhD or equivalent) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Solutions Architect for Public Sector at AWS EMEA SARL (Sweden Branch). Skills: Solutions Architecture, Cloud Technology, Customer Engagement. Work directly with customers. 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Partner with infrastructure; Partner with platform teams; Work with engineers", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Cloud infrastructure; Service lifecycle management; Deployment automation; CI/CD workflows; Runtime controls; Service management; Cloud platform tooling; Deployment orchestration; Service scaling; Resource management; Capacity planning; Cost optimization", "domainList" : [ "cloud-infrastructure", "service-lifecycle-management", "deployment-automation", "ci-cd-workflows", "runtime-controls", "service-management", "cloud-platform-tooling", "deployment-orchestration", "service-scaling", "resource-management", "capacity-planning", "cost-optimization" ], "domainSpecificKnowledge" : [ "Cloud infrastructure", "Service lifecycle management", "Deployment automation", "CI/CD workflows", "Runtime controls", "Service management", "Cloud platform tooling", "Deployment orchestration", "Service scaling", "Resource management", "Capacity planning", "Cost optimization" ], "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "5+ years Product Management, Hands-on platform engineering, Hands-on DevOps, Hands-on infrastructure, Hands-on cloud, Understanding deployment concepts, Understanding runtime concepts, Understanding infrastructure concepts, Understanding service lifecycle, Familiarity with CI/CD, Familiarity with containerization, Familiarity with orchestration, Familiarity with cloud platforms, Familiarity with service discovery, Familiarity with Kubernetes, Experience working with engineers, Analytical skills, Problem-solving skills", "qualificationsPreferred" : "Platform or infrastructure experience, Experience on technical products", "workSiteFlexibility" : "Onsite", "rawDescription" : "About our Client Our client is a technology-led organisation operating large-scale software platforms and complex production environments. The company is continuing to strengthen the internal systems and tools that allow engineering teams to deploy, manage, and scale services efficiently. About the Role We are looking for a Tech Product Manager to lead internal platform initiatives related to deployment workflows, runtime environments, cloud infrastructure, and service lifecycle management. You will partner with engineering, infrastructure, and platform teams to improve how services are deployed, operated, scaled, and managed across production environments. This role is ideal for someone with strong platform or infrastructure experience who enjoys working on deeply technical products used by engineering teams. Responsibilities Own and drive the roadmap for deployment, runtime, and infrastructure platform capabilities. Identify inefficiencies and opportunities to improve release speed, scalability, reliability, and cost efficiency. Define and prioritize capabilities related to deployment automation, CI/CD workflows, runtime controls, service management, and cloud platform tooling. Work closely with engineering teams on architecture, platform design, and technical trade-offs. Support platform capabilities related to deployment orchestration, service scaling, resource management, capacity planning, and cost optimization. Define and track metrics related to deployment performance, platform adoption, reliability, resource usage, and operational efficiency. Translate technical requirements into product plans, priorities, and execution roadmaps. Support change management and help teams adopt new platform capabilities successfully. Qualifications 5+ years of experience in Product Management or a similarly technical role. Having hands-on experience in platform engineering, DevOps, infrastructure, cloud, or related technical environments. Strong understanding of deployment, runtime, infrastructure, and service lifecycle concepts. Familiarity with CI/CD, containerization, orchestration, cloud platforms, service discovery, Kubernetes, or similar areas. Experience working closely with engineers on roadmap, architecture, and delivery. Strong communication, analytical, and problem-solving skills. Comfortable operating in complex, fast-moving, and highly technical environments. #LI-SERTIS", "summaryDescription" : "Product Manager, Cloud Platform at Recruitis", "postedDate" : "2026-06-14T09:04:57.075", "createdAt" : "2026-06-14T09:04:57.075", "lastUpdated" : "2026-06-15T10:07:40.404", "ingestTimestamp" : "2026-06-14T09:04:57.075", "mongoId" : "6a2c7f6674d8ee00a09554ed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Platform engineering", "DevOps", "Infrastructure management", "Service lifecycle", "Product strategy", "Roadmap development", "User stories", "Technical requirements", "Roadmap", "Cloud infrastructure", "Service lifecycle management", "Deployment automation", "CI/CD workflows", "Runtime controls", "Service management", "Cloud platform tooling", "Deployment orchestration", "Service scaling", "Resource management", "Capacity planning", "Cost optimization" ], "skillCount" : 21, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69164db570f0b99d586f3820", "title" : "Sr. Product Marketing Manager, Hardware", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Evangelist (Tech) Job Family, alexa and amazon devices", "salary" : { "min" : 124100.0, "max" : 277700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, USA", "locations" : [ "San Francisco, California, USA" ], "timestamp" : "2026-06-14T23:58:54.312", "fingerprint" : "26715fd6221a1be404eeca889c20265ba7f262ce7dbd9da7b6fa040761290d60", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3120825/apply", "externalId" : "0abf095e-8037-4096-98e6-3661d7bd8f0b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Strategic business planning", "Go-to-market strategies", "Product positioning", "Product messaging", "Pricing strategy", "Sales forecasting", "Market research", "Business acumen", "Product management", "Portfolio management", "Financial analysis", "Business analysis", "Forecasting", "Planning", "P&L management" ], "hardSkillsList" : [ "Market segmentation", "Customer insights", "Competitive intelligence", "Win/loss analysis", "Pricing strategy", "Sales forecasting", "Business analysis", "Financial analysis" ], "hardSkills" : [ { "name" : "Market segmentation", "level" : "intermediate" }, { "name" : "Customer insights", "level" : "intermediate" }, { "name" : "Competitive intelligence", "level" : "intermediate" }, { "name" : "Win/loss analysis", "level" : "intermediate" }, { "name" : "Pricing strategy", "level" : "intermediate" }, { "name" : "Sales forecasting", "level" : "intermediate" }, { "name" : "Business analysis", "level" : "intermediate" }, { "name" : "Financial analysis", "level" : "intermediate" } ], "majorSkills" : "Product marketing, Go-to-market strategy, Hardware portfolio, Customer insights", "majorSkillsList" : [ "Product marketing", "Go-to-market strategy", "Hardware portfolio", "Customer insights" ], "coreResponsibilities" : "Develop marketing strategy, Develop strategic business planning, Understand TAM, Understand target audiences, Understand market segments, Understand business opportunities, Develop go-to-market strategies, Lead product positioning, Lead product messaging, Lead pricing, Lead sales forecasting, Lead research, Lead insights, Provide thought leadership, Own product marketing, Collaborate with cross-functional teams, Lead GTM strategies, Oversee in-market performance, Work backwards from customer requirements, Work backwards from industry requirements, Connect eero capabilities, Connect eero services, Build right portfolio, Market right portfolio, Articulate value propositions, Synthesize external data, Synthesize internal data, Work with product managers, Guide feature prioritization, Ensure offering consistency, Own positioning development, Own messaging development, Develop product positioning, Develop portfolio positioning, Develop product messaging, Develop portfolio messaging, Understand B2C customers, Understand B2B customers, Translate needs into specifications, Co-develop testing scenarios, Validate product claims, Validate messaging, Look for product enhancements, Add value to product line, Analyze competitor offerings, Address eero value, Design sales enablement materials, Develop strategic narrative, Develop messaging framework, Develop positioning framework, Support global teams, Support cross-lines of business, Bring clarity to prioritization, Maintain product expertise, Foster product relationships, Understand technical considerations, Understand strategic considerations, Drive hardware portfolio strategy, Create strategy deployment, Deploy strategy, Launch new products, Launch new releases, Be expert on buyers, Be expert on customers, Own hardware innovation roadmap, Integrate customer insights, Lead product strategies, Lead marketing strategies, Gather competitive intelligence, Analyze competitive intelligence, Respond to competitive intelligence, Conduct win/loss analysis, Educate customer-facing teams, Articulate eero advantages, Own pricing strategy, Partner with product, Partner with sales, Partner with finance, Partner with BD teams, Conduct business analyses, Conduct financial analyses, Monitor performance, Report performance", "teamCollaboration" : "Cross-functional teams; Marketing teams; Executive teams; Product managers; Engineering teams; Sales teams; Customer-facing teams; Global cross-functional teams; Product; Sales; Finance; BD teams", "projectManagementSkills" : [ "Roadmap", "Forecasting", "Planning" ], "domainKnowledge" : "Home WiFi; Ethernet switching; Gateway products; Mesh WiFi systems; Wired networking; Connected home", "domainList" : [ "home-wifi", "ethernet-switching", "gateway-products", "mesh-wifi-systems", "wired-networking", "connected-home" ], "domainSpecificKnowledge" : [ "Home WiFi", "Ethernet switching", "Gateway products", "Mesh WiFi systems", "Wired networking", "Connected home" ], "communicationSkills" : "Thought leadership; Articulate value propositions; Teach others; Talk to others", "innovationCreativity" : "Product innovation", "problemSolvingSkills" : "Connect dots; Synthesize data; Analyze data; Root cause analysis", "outcomesObjectives" : "Serve connectivity needs; Exceed customer needs; Launch new products; Launch new releases; Ensure customer-centric products; Achieve successful campaigns; Keep teams confident; Keep teams educated; Deliver projects; Deliver tasks", "qualificationsBasic" : "5+ years product marketing, Experience with product innovation, Experience with GTM strategies, Experience with in-market performance, Experience with customer requirements, Experience with product general management, Experience with external data, Experience with internal data, Experience with hardware, Experience with software, Experience with services, Experience with feature prioritization, Experience with product positioning, Experience with portfolio level, Experience with business acumen, Experience with B2C customers, Experience with B2B customers, Experience with product specifications, Experience with marketing activations, Experience with product enhancements, Experience with competitor offerings, Experience with sales enablement, Experience with strategic narrative, Experience with messaging, Experience with positioning, Experience with product portfolio, Experience with product expertise, Experience with technical considerations, Experience with strategic considerations, Experience with hardware innovation, Experience with research, Experience with customer insights, Experience with competitive intelligence, Experience with win/loss analysis, Experience with pricing strategy, Experience with forecasting, Experience with business analyses, Experience with financial analyses, Experience with monitoring, Experience with reporting, Experience with proactive work, Experience with independent work, Experience with meeting deadlines, Experience with delivering projects, Experience with delivering tasks, Experience with driving launches, Experience with technical stakeholders, Experience with business stakeholders, Experience with global teams, Experience with B2C GTM, Experience with B2B GTM", "qualificationsPreferred" : "Product general management experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At eero, our mission is to serve as the central nervous system of the home. While we began by revolutionizing home WiFi, we aim to create comprehensive solutions that serve both wireless and wired connectivity needs for customers and businesses across the globe.Our cross-functional team, spanning hardware, software, and manufacturing, develops advanced Ethernet switching and gateway products, alongside state of the art security features, to complement our award-winning mesh WiFi systems. As an Amazon company, we combine the best of startup culture with the resources and stability of one of the world's leading technology companies. Our team builds products that customers love - from mesh routers to high-performance wired networking devices - and we're looking for you to join us in shaping the future of the connected home. As eero continues to grow, we are building a world-class marketing organization and seeking a Product Marketing Manager for our core Hardware portfolio. In this role you will develop an overarching marketing strategy. This includes strategic business planning, including understanding TAM, target audiences, market segments, business opportunities, and developing go-to-market strategies to serve different customers. You will lead product positioning and messaging, pricing, sales forecasting, research & insights, and provide thought leadership to both the marketing and executive teams at eero. This role is an “end-to-end” owner for Product Marketing of eero’s hardware devices expected to collaborate with cross-functional teams in three primary areas: 1) product innovation and development roadmap 2) lead Go-To-Market (GTM) strategies for new core products 3) oversee the in-market performance for the products they are responsible for across various customer segments. At eero, Product Marketing Managers work backwards from their understanding of customer and industry requirements and are able to “connect the dots” between various different eero capabilities and services to make sure that we are building and marketing the right portfolio of offerings to meet and exceed the needs of our customers – and that we’re able to clearly articulate the value propositions of our capabilities. In this role you will leverage your own experiences of go-to-market and product general management to synthesize external and internal data from multiple sources, and work closely with eero Product Managers across numerous different hardware, software and services. You’ll help guide feature prioritization, ensure consistency between various different offerings, and own the development of crisp, highly differentiated, and compelling positioning and messaging at both the individual product and the portfolio level. This is a highly visible role which you will have an outsized impact. You are expected to be a highly experienced product marketer while also demonstrating your business acumen operating as a business owner for the products you are responsible for. In this role, you will deeply understand our customers (both B2C and B2B), the problems they face and how eero is uniquely positioned to solve those problems for them. You’re just as comfortable talking to and teaching others as you are diving deep into our products and learning new technologies. You will work closely with our broader marketing, engineering, product management, sales and customer-facing teams to conceptualize, build, and launch new HW that meet the needs of our growing customer base. This includes consultation throughout the build cycle by translating customer and business needs into robust and actionable product specifications. Ahead of launch, co-develop the real world testing scenarios that resonate most with customers to validate the product claims and messaging included throughout marketing activations. Post-launch, you will continue to look for customer-obsessed product enhancements continuously adding value to our existing product line. You will look around corners, analyzing competitor offerings and address eero’s unique value through sales enablement materials designed for key audiences. Key job responsibilities Strategic Narrative, Messaging and Positioning: - Develop a strategic narrative framework for messaging and positioning of eero’s hardware product portfolio, individual products and services, that can support our global teams and cross-lines of business, and bring clarity to prioritization across marketing communications. - Deep Product Expertise: Maintain a deep product expertise by fostering a meaningful relationship with Product leadership; Have a deep understanding of the technical and strategic considerations for our category as well as the key insights or requirements needed for our hardware to best serve customers; World Class Go-To-Market program: - Drive eero’s core hardware product portfolio strategy servicing different customer audiences. This includes the creation and deployment of the strategy through the launch of new products and releases. Research & Customer Insights: - Be the expert on our buyers and customers. Own the hardware innovation roadmap for research & customer insights to ensure that customer insights are effectively integrated into the short and long-term product and marketing strategies, leading to more customer-centric products and successful marketing campaigns. Competitive Landscape: - Gather, analyze, and respond to competitive intelligence, including win/loss analysis, in a timely manner that keeps our customer-facing teams confident and educated on how to articulate how eero is better and why we’re winning. Core Hardware Portfolio Management: - Own pricing strategy, forecasting in partnership with the product, sales, finance, and BD teams. - Conduct business and financial analyses, including forecasting, monitoring, and reporting of key finance, sales, and marketing metrics. Contribute to key business processes such as portfolio planning, program forecasting, budgeting, pricing, positioning, and placement optimization. Prepare and communicate detailed presentations on the focused market area to eero leadership. Marketing Lead: - Serve as a marketing leader throughout the full HW development lifecycle interface with engineering, product management and/or program management to drive new product development programs from concept to commercialization. - Hardware Innovation & Roadmap Planning: Support early HW roadmap concepts by gathering business and customer product requirements from cross-functional teams. Define strategy (new product needs, product roadmap, customers to target, technology needed, technical support to be deployed) and drive the marketing support to sales/customers, in alignment with the broader PMM team. About the team eero’s Global Marketing Team brings the experience of strong, reliable wifi to life through full funnel marketing initiatives focused on converting our audiences while maximizing our resources. Our customers consist of end users as well as small businesses and internet service providers, spanning B2C, B2B and B2B2C. The team is highly results oriented, and at its core, focuses on driving efficiencies and delivering against our sales and revenue goals. Interested in exploring career opportunities with eero? Visit our careers page to view all open positions: https://www.amazon.jobs/content/en/teams/devices-services/hardware-eero?country%5B%5D=US&keyword%5B%5D=eero Basic Qualifications: - Bachelor's degree or above - Experience developing detailed go to market plans - Experience managing time efficiently, meeting personal goals, and working effectively with internal, partner, and customer teams - Experience with networking basics through work or education - Experience with innovation, development, testing - Experience communicating technical details verbally and in writing - Experience leading creative development of innovative creative from concept to delivery - Experience developing cross-functional relationships with product, consumer research and marketing teams to develop strategy and consumer insights that drive compelling creative executions - 5+ years of demonstrable product marketing, Go-To-Market, product management, and/or program management experience with hardware or software programs. (Software product marketing experience is a plus). Preferred Qualifications: - Master's degree or above in management, business administration, economics, engineering, marketing - Experience delivering projects within scope, time, budget and quality - Experience working proactively and independently, meeting deadlines, and delivering on projects and tasks - Experience driving new business segment or services launches - Experience working with technical and business stakeholders from global cross-functional teams - Understanding of key business motions like forecasting, planning, P&L management - Understanding of B2C and B2B GTM motions Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $124,100/year in our lowest geographic market up to $277,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr. Product Marketing Manager, Hardware at Amazon.com Services LLC. Skills: Product marketing, Go-to-market strategy, Hardware portfolio, Customer insights. Develop marketing strategy. Develop strategic business planning", "postedDate" : "2026-06-12T23:06:44.182", "createdAt" : "2026-06-12T23:06:44.182", "lastUpdated" : "2026-06-14T23:58:54.312", "ingestTimestamp" : "2026-06-12T23:06:44.182", "mongoId" : "69164db570f0b99d586f3820", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3120825/apply", "salaryAnnualMin" : 124100, "salaryAnnualMax" : 277700, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Market segmentation", "Customer insights", "Competitive intelligence", "Win/loss analysis", "Pricing strategy", "Sales forecasting", "Business analysis", "Financial analysis", "Product marketing", "Go-to-market strategy", "Hardware portfolio", "Strategic business planning", "Go-to-market strategies", "Product positioning", "Product messaging", "Market research", "Business acumen", "Product management", "Portfolio management", "Forecasting", "Planning", "P&L management", "Roadmap", "Home WiFi", "Ethernet switching", "Gateway products", "Mesh WiFi systems", "Wired networking", "Connected home" ], "skillCount" : 29, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2cafed74d8ee00a09d83cf", "title" : "Director of Product - Data Platform and Decision Tooling", "company" : "Skyscanner", "industry" : "Product", "salary" : { "min" : 130000.0, "max" : 195000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Product in London, UK, adjusted for the technology industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T08:15:47.164", "fingerprint" : "a4e711ada7f64ef3ad7274a130224cc6b0c75f6bdae3559a6db9eb38ab7abea5", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/skyscanner/350e50f6-ea4f-4898-92ce-497e253d5e61/application", "externalId" : "350e50f6-ea4f-4898-92ce-497e253d5e61", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Data Platform, ML, AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "MLOps", "Data engineering", "AI automation", "Data delivery", "Operating model definition" ], "hardSkillsList" : [ "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control", "Product decisions" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Experimentation velocity", "level" : "intermediate" }, { "name" : "Personalisation", "level" : "intermediate" }, { "name" : "Revenue impact", "level" : "intermediate" }, { "name" : "Cost control", "level" : "intermediate" }, { "name" : "Product decisions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Platform, ML, AI, Product Management", "majorSkillsList" : [ "Data Platform", "ML", "AI", "Product Management" ], "coreResponsibilities" : "Own data platform reliability, Own data platform usability, Own data platform governance, Own data platform economic performance, Ensure product teams can test, Ensure product teams can learn, Ensure product teams make decisions quickly, Help data and ML signals move to dependable, Create foundations for teams to ask better questions, Create foundations for teams to find answers faster, Create foundations for teams to consume analytics, Shape how AI and automation support data engineering, Strengthen how data is moved, Strengthen how data is transformed, Strengthen how data is maintained, Strengthen how data is served, Turn data quality into managed capability, Define interfaces between teams, Connect technical investment to outcomes", "teamCollaboration" : "Cross-functional teams; Product engineering; Analytics teams; Data science teams; Business teams", "projectManagementSkills" : [ "Roadmap", "Priorities" ], "domainKnowledge" : "Data Platform; Decision Tooling; Machine Learning; AI; Data Quality; Data Governance; Data Engineering; Travel Industry", "domainList" : [ "data-platform", "decision-tooling", "machine-learning", "ai", "data-quality", "data-governance", "data-engineering", "travel-industry" ], "domainSpecificKnowledge" : [ "Data Platform", "Decision Tooling", "Machine Learning", "AI", "Data Quality", "Data Governance", "Data Engineering", "Travel Industry" ], "innovationCreativity" : "AI-native experiences", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Faster experimentation; Production-ready ML; Stronger data quality; Scalable delivery; Experimentation velocity; Personalisation; Revenue impact; Cost control; Better product decisions", "qualificationsBasic" : "Platform leader at scale, Product-minded and commercially sharp, Confident with data-powered products, Quality and ownership obsessed, Cross-functional by nature, Direct and pacey, Strategic but sleeves-rolled-up", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Data Platform, ML, AI, Product Management. Own data platform reliability. Own data platform usability", "createdAt" : "2026-06-13T21:49:02.566", "lastUpdated" : "2026-06-15T08:15:47.164", "ingestTimestamp" : "2026-06-13T21:49:02.566", "mongoId" : "6a2cafed74d8ee00a09d83cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control", "Product decisions", "Leadership", "Data Platform", "ML", "AI", "Product Management", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "MLOps", "Data engineering", "AI automation", "Data delivery", "Operating model definition", "Roadmap", "Priorities", "Decision Tooling", "Machine Learning", "Data Quality", "Data Governance", "Data Engineering", "Travel Industry" ], "skillCount" : 32, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69f78b884c40e2acd1b4f474", "title" : "Chip Validation Software Engineer", "company" : "Annapurna Labs Ltd.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 285000.0, "max" : 430000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Chip Validation Software Engineer in Haifa, Israel, adjusted for industry and company size." }, "location" : "Haifa, Haifa, ISR", "locations" : [ "Haifa, Haifa, ISR" ], "timestamp" : "2026-06-15T01:30:16.378", "fingerprint" : "a90d8498b4cd9757f7dd130f6738c80bc429dcddb3aea114a4e2d75132a2bc5c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10409569/apply", "externalId" : "f85b5494-040f-4d98-8dd4-7e903bf58135", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Haifa", "state" : "Haifa", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.8191218,34.9983856" } ], "locationText" : "Haifa, Haifa, Israel", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "C, C++, PCIe, DRAM, Networking", "professionalSkills" : [ "Chip architecture", "Functional correctness", "Performance validation" ], "hardSkillsList" : [ "Software development", "Chip validation", "Embedded SW", "Multi-core programming", "Performance analysis" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Chip validation", "level" : "intermediate" }, { "name" : "Embedded SW", "level" : "intermediate" }, { "name" : "Multi-core programming", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" } ], "majorSkills" : "Chip validation, Software development, Embedded SW", "majorSkillsList" : [ "Chip validation", "Software development", "Embedded SW" ], "coreResponsibilities" : "Develop system level software, Target chip architecture, Validate chip functionality, Design software for validation, Develop software for validation, Develop software for performance validation", "teamCollaboration" : "Team-oriented environment", "domainKnowledge" : "Cloud computing; Compute services; Database services; Storage services; IoT services; Platform services; Productivity Apps services; Cloud security solutions; Next generation chips; Revolutionary architecture", "domainList" : [ "cloud-computing", "compute-services", "database-services", "storage-services", "iot-services", "platform-services", "productivity-apps-services", "cloud-security-solutions", "next-generation-chips", "revolutionary-architecture" ], "domainSpecificKnowledge" : [ "Cloud computing", "Compute services", "Database services", "Storage services", "IoT services", "Platform services", "Productivity Apps services", "Cloud security solutions", "Next generation chips", "Revolutionary architecture" ], "communicationSkills" : "Good communication", "innovationCreativity" : "Product innovations", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "BSc degree in Computer Engineering/ Computer Science/ Electrical Engineering, 3+ years of experience in software development/ chip validation, C hands-on development and debug, Experience in Networking protocols, Good communication skills", "qualificationsPreferred" : "Experience in software development, RT embedded SW experience, Multi-core CPU programming experience, C++ design knowledge, Performance analysis experience, Expertise in PCIe, Expertise in DRAM, Expertise in networking, Expertise in SerDes", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. An exciting opportunity to join Amazon in developing its next generation products for the cloud market, working in a very team-oriented environment. We are looking for exceptional software engineers to help develop the next generation chips based on a revolutionary architecture. In this job you will design and develop software for functional and performance validation. Key job responsibilities In this role you will develop system level software, targeting chip architecture, functional correctness and performance, running on various platforms and validating chip functionality. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - BSc degree in Computer Engineering/ Computer Science/ Electrical Engineering - 3+ years of experience in software development/ chip validation - C hands-on development and debug - Experience in Networking protocols - Good communication skills Preferred Qualifications: - Experience in software development - Experience in the following fields is preferred: - RT embedded SW - Multi-core CPU programming - C++ design knowledge - Performance analysis - Expertise in various protocols: PCIe, DRAM, networking, SerDes, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. 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06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "timestamp" : "2026-06-15T07:49:22.001", "fingerprint" : "32b23742ae3b2dba6dae50e661a56b3fbb0b0d82fcd02201504443c75ac79af3", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=57405", "externalId" : "57405", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gogama", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6736705,-81.7250895" } ], "locationText" : "Gogama, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "VHF/UHF, WIFI mesh, Microwave systems, Ethernet, Fiber-optic, Radio, Microwave, Wireless, Cisco Wi-Fi, LTE Radio", "professionalSkills" : [ "Problem-solving", "Prioritization", "Technical learning" ], "hardSkillsList" : [ "Radio communications", "Fleet Management Systems", "Electronic schematics", "Technical specifications" ], "hardSkills" : [ { "name" : "Radio communications", "level" : "intermediate" }, { "name" : "Fleet Management Systems", "level" : "intermediate" }, { "name" : "Electronic schematics", "level" : "intermediate" }, { "name" : "Technical specifications", "level" : "intermediate" } ], "majorSkills" : "Autonomous hardware, Radio systems, Mining technology, Wireless communication", "majorSkillsList" : [ "Autonomous hardware", "Radio systems", "Mining technology", "Wireless communication" ], "coreResponsibilities" : "Install wired/wireless communications, Repair wired/wireless communications, Maintain wired/wireless communications, Deploy VHF/UHF systems, Deploy WIFI mesh systems, Deploy microwave systems, Execute preventative maintenance, Inspect hardware, Identify field inefficiencies, Apply Command for Haulage expertise, Improve fleet throughput, Improve fleet quality, Troubleshoot technical issues, Manage mining databases, Manage fleet management software, Manage equipment logs, Ensure reporting accuracy, Partner with Mine Operators, Partner with Control teams, Coordinate shift deliverables, Resolve fleet problems, Train new team members, Manage FMS inventory, Prevent downtime", "teamCollaboration" : "Mine Operators; Control teams", "domainKnowledge" : "Autonomous haulage; Drill fleet; High Precision Machine Guidance; Mining databases; Fleet Management Systems; Autonomous Mining Systems; Microwave PTP; Microwave PTMP", "domainList" : [ "autonomous-haulage", "drill-fleet", "high-precision-machine-guidance", "mining-databases", "fleet-management-systems", "autonomous-mining-systems", "microwave-ptp", "microwave-ptmp" ], "domainSpecificKnowledge" : [ "Autonomous haulage", "Drill fleet", "High Precision Machine Guidance", "Mining databases", "Fleet Management Systems", "Autonomous Mining Systems", "Microwave PTP", "Microwave PTMP" ], "toolProficiency" : [ "Command for Haulage", "Fleet Management Systems", "Cisco Wi-Fi" ], "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "specialRequirements" : "Rotational schedule", "qualificationsBasic" : "Grade 12 or equivalent, 5+ years electrician experience, 5+ years communications infrastructure experience", "qualificationsPreferred" : "College diploma related field, University degree related field, Fleet Management Systems experience, Autonomous Mining Systems experience, High Precision Machine Guidance experience, Cisco Wi-Fi experience, LTE Radio Systems experience, Mining experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are IAMGOLD. Innovative, Accountable Mining. IAMGOLD is a Canadian-based gold mining company with operations and development projects across North America and West Africa. With flagship operations such as the Côté Gold Mine in Ontario—one of Canada’s largest and most technologically advanced gold mines—we’re not just mining gold; we’re shaping the future of mining. We believe mining can be different. By combining innovation with a strong commitment to sustainability and accountability, we create lasting value for our people and the communities where we operate. At IAMGOLD, when we engage, empower, and support each other, we create extraordinary outcomes—delivering value for our people, partners, and stakeholders while building stronger, more resilient communities. At Côté Gold, we’re leading the way in modern mining. With an 18+ year mine life, Côté Gold will inject C$5 billion in wages into the economy and create lasting benefits for the region. Over 600 full-time jobs and strong partnerships with Mattagami and Flying Post First Nations mean you’ll be part of something bigger—building prosperity and progress for generations. Industry leaders call us “a model for modern mining and sustainability”, and you can help write the next chapter. Want to Learn More About IAMGOLD? Check out the IAMGOLD Blog Read about our Côté Gold About the role: We are actively seeking an Autonomous Hardware and Radio Technician to join the Côté Gold Mine Site. This role is responsible for the reliable operation of the hardware and radio systems that support the autonomous haulage and drill fleet. The Autonomous Hardware/Radio Technician ensures safe, effective and timely implementation, configuration and maintenance of the operational mining technology network and wireless communication systems. This role will be based on our Cote Gold Mine Site (Gogama, ON), on a rotational schedule. Responsibilities: Install, repair, and maintain wired/wireless communications for autonomous haulage and drill equipment Deploy VHF/UHF, WIFI mesh, and microwave systems to support High Precision Machine Guidance Execute preventative maintenance and inspections to ensure all hardware meets safety and performance standards Identify field inefficiencies and apply Command for Haulage expertise to improve fleet throughput and quality Troubleshoot technical issues while weighing impacts on time, cost, sustainability, and safety Manage mining databases, fleet management software, and equipment logs to ensure reporting accuracy Partner with Mine Operators and Control teams to coordinate shift deliverables and resolve fleet problems Train new team members and manage Fleet Management System (FMS) inventory to prevent downtime Key Skills & Knowledge: Grade 12 or equivalent. College diplomas or university degrees in a related field such electrical, OT, autonomous systems technology is considered an asset Relevant Experience: 5 or more years of experience as an electrician or 5 or more years of experience supporting communications infrastructure (Ethernet, fiber-optic, radio, microwave, wireless). Experience with Fleet Management Systems, Autonomous Mining Systems, High Precision Machine Guidance, Cisco Wi-Fi and LTE Radio Systems is considered an asset. Experience installing, maintaining and fault-finding radio communications equipment and Fleet Management Systems is considered an asset; Mining experience may be considered an asset but is not required. Skills & Strengths, We Value: Highly organized and possess excellent analytical and problem-solving skills with the ability to prioritize effectively in a high-pressure environment. An aptitude for learning technical material and are detail orientated. Understanding of Microwave PTP, PTMP based radio and antennae systems; and Ability to read and interpret electronic schematics and Technical Specifications. What we Offer: At IAMGOLD, we don’t just reward performance we invest in your potential. Our total rewards package is designed to support your well-being today and encourage your growth for tomorrow. Because the future of mining, and your career, starts here. • Comprehensive Health Coverage – Extended health, dental, and insurance benefits for peace of mind. • Flexible Spending Power – Health & Personal Spending Accounts to fit your evolving needs. • Support When It Matters – Employee & Family Assistance Program for life’s challenges. • Future-Ready Savings – Registered Pension Plan with company match, plus TFSA & RRSP options. • Shared Success – Employee Share Purchase Plan with company match—because we grow together. Salary Range: $89,000-122,400 The final offer is determined based on your individual skills, qualifications, and competencies and aligned with our commitment to internal equity. We recognize that not everyone will meet every requirement listed, and that’s okay. If this role excites you and you believe you have relevant experience or transferable skills, we encourage you to apply. We value potential and are committed to supporting growth and development. We’re an equal opportunity employer, committed to building a workplace where every perspective sparks progress. We welcome applications from women, Indigenous Peoples, visible minorities, persons with disabilities, and members of the 2SLGBTQIA+ community. Need accommodation during the recruitment process? Just let us know, we’ll make it happen. Mining. Redefined. We’re building a modern mining company driven by innovation, accountability, and a deep commitment to sustainability. Please note that IAMGOLD does not use AI tools within our applicant tracking system to support the screening of applications Canada", "summaryDescription" : "Autonomous Hardware and Radio Technician at IAMGOLD. Skills: Autonomous hardware, Radio systems, Mining technology, Wireless communication. Install wired/wireless communications. Repair wired/wireless communications", "createdAt" : "2026-06-14T00:42:33.594", "lastUpdated" : "2026-06-15T07:49:22.001", "ingestTimestamp" : "2026-06-14T00:42:33.594", "mongoId" : "69ce5e199bc74574cb674d4c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Radio communications", "Fleet Management Systems", "Electronic schematics", "Technical specifications", "Autonomous hardware", "Radio systems", "Mining technology", "Wireless communication", "Problem-solving", "Prioritization", "Technical learning", "Autonomous haulage", "Drill fleet", "High Precision Machine Guidance", "Mining databases", "Autonomous Mining Systems", "Microwave PTP", "Microwave PTMP", "Command for Haulage", "Cisco Wi-Fi" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Mining", "llmIndustryConfidence" : 0.95 }, { "id" : "69f9b8034c40e2acd11140c6", "title" : "Sr. Solution Architect, GenAI Platform", "company" : "Amazon Web Services, Inc.", "industry" : "Solutions Architect, Solution Architect, Cloud Computing", "salary" : { "min" : 153600.0, "max" : 207800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-14T23:48:22.639", "fingerprint" : "fcd1ee585d2e169cc4770007c4f50f02507e164d20e94a98fa187f510c8c106c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10409872/apply", "externalId" : "1d5e7728-2794-4767-b42c-5981dc7f0b38", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "GenAI, EC2, SageMaker, GPU, ML frameworks", "professionalSkills" : [ "Business development", "Market sizing", "Pipeline building", "GTM plans", "Technical architectures", "Thought-leadership", "Account planning", "Opportunity pursuit" ], "hardSkillsList" : [ "GenAI model training", "GenAI model inference", "Large-scale workloads", "Foundation models", "Performance evaluations", "Scalable solutions", "Cloud-based systems", "Accelerated compute" ], "hardSkills" : [ { "name" : "GenAI model training", "level" : "intermediate" }, { "name" : "GenAI model inference", "level" : "intermediate" }, { "name" : "Large-scale workloads", "level" : "intermediate" }, { "name" : "Foundation models", "level" : "intermediate" }, { "name" : "Performance evaluations", "level" : "intermediate" }, { "name" : "Scalable solutions", "level" : "intermediate" }, { "name" : "Cloud-based systems", "level" : "intermediate" }, { "name" : "Accelerated compute", "level" : "intermediate" } ], "majorSkills" : "GenAI Platform, Solution Architecture, Cloud Computing, Machine Learning", "majorSkillsList" : [ "GenAI Platform", "Solution Architecture", "Cloud Computing", "Machine Learning" ], "coreResponsibilities" : "Drive business development, Build pipeline, Define PoC requirements, Develop GTM plans, Understand business problems, Implement scalable GenAI solutions, Develop cloud-based GenAI solutions, Build workloads on EC2, Deploy workloads on SageMaker, Deploy workloads on accelerated compute, Create technical architectures, Create content, Create enablement materials, Train field teams, Establish thought-leadership, Collaborate with account teams, Collaborate with research scientists, Collaborate with product teams, Collaborate with ISVs, Collaborate with model providers, Drive implementations, Drive innovation, Communicate GenAI potential, Communicate technical challenges, Leverage GPU infrastructure expertise, Leverage ML frameworks expertise, Identify cross-industry patterns, Identify cross-industry trends, Represent AWS best practices", "teamCollaboration" : "Account Teams; Area Specialist Teams; Research scientists; Product teams; ISVs; Model providers", "projectManagementSkills" : [ "GTM plans" ], "domainKnowledge" : "GenAI; Foundation models; GPU compute infrastructure; ML frameworks; Cloud computing; Distributed computing; HPC", "domainList" : [ "genai", "foundation-models", "gpu-compute-infrastructure", "ml-frameworks", "cloud-computing", "distributed-computing", "hpc" ], "domainSpecificKnowledge" : [ "GenAI", "Foundation models", "GPU compute infrastructure", "ML frameworks", "Cloud computing", "Distributed computing", "HPC" ], "communicationSkills" : "Communicate GenAI potential; Communicate technical challenges", "documentationSkills" : "Technical architectures; Enablement materials", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Solve customers' complex challenges", "qualificationsBasic" : "8+ years technology domain experience, 3+ years applications/infrastructures experience, 8+ years IT development/consulting experience", "qualificationsPreferred" : "5+ years infrastructure architecture experience, 5+ years database architecture experience, 5+ years networking experience, Infrastructure architecture experience, Database architecture experience, Networking experience, NVIDIA GPU architectures knowledge, CUDA programming knowledge, ML/DL Frameworks knowledge, Distributed computing knowledge, HPC knowledge, ML training/inference optimization knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Global Sales drives worldwide cloud adoption, empowering customers through tailored service, unmatched technology, and customer support. We dive deep into each customer's unique challenges to craft innovative solutions that accelerate their success with the customer-first approach that built the world's most adopted cloud. As part of the GenAI Platform team, you'll develop and deploy strategies to accelerate customer adoption across industry verticals. You'll work directly with key customers on GenAI model training and inference, helping them adopt and scale large-scale workloads like foundation models, conduct performance evaluations, and develop demos and GTM plans. AWS Specialist Solution Architects(SSA) are technologists with deep domain expertise and business development acumen to solve customers' most complex challenges through scalable, flexible technical architectures. As members of Area Specialist and Account Teams, SSAs guide customers through application refactoring and cloud-based system designs while handling account planning and opportunity pursuit, bringing valuable insights to product teams and strengthening the roadmap. Key job responsibilities -Drive business development through market sizing, pipeline building, and technical proof-of-concept requirements with customers -Develop and execute GTM plans by working directly with customers to understand business problems and implement scalable GenAI solutions -Develop cloud-based GenAI solutions enabling customers to build and deploy workloads on EC2, SageMaker Hyperpod, and accelerated compute platforms -Create technical architectures, content, and enablement materials to train field teams and establish thought-leadership -Collaborate with account teams, research scientists, product teams, ISVs, and model providers to drive implementations and innovation -Communicate GenAI potential and technical challenges to engineering teams and C-Level executives, leveraging expertise in GPU based compute infrastructure and ML frameworks -Identify cross-industry patterns and trends to accelerate innovation and represent AWS best practices to customers and partners About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - 8+ years of IT development or implementation/consulting in the software or Internet industries experience Preferred Qualifications: - 5+ years of infrastructure architecture, database architecture and networking experience - Experience in infrastructure architecture, database architecture and networking - Knowledge of NVIDIA GPU architectures, CUDA programming, ML/DL Frameworks, distributed computing, HPC, and ML training/inference optimization techniques Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually USA, TX, Austin - 153,600.00 - 207,800.00 USD annually USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually", "summaryDescription" : "Sr. Solution Architect, GenAI Platform at Amazon Web Services, Inc.. Skills: GenAI Platform, Solution Architecture, Cloud Computing, Machine Learning. Drive business development. 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Define product roadmap", "createdAt" : "2026-06-14T19:37:05.612", "lastUpdated" : "2026-06-16T01:28:13.293", "ingestTimestamp" : "2026-06-14T19:37:05.612", "mongoId" : "6a2d0c3874d8ee00a0acf587", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf3f042beec4dd3d93403d", "title" : "Sr. Solution Architect, GenAI Platform", "company" : "Amazon Web Services, Inc.", "industry" : "Solutions Architect, Solution Architect, Cloud Computing", "salary" : { "min" : 153600.0, "max" : 207800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Dallas, Texas, USA", "locations" : [ "Dallas, Texas, USA" ], "timestamp" : "2026-06-14T22:25:18.075", "fingerprint" : "91d6a48eaafaaf00b502db3d6db6c597a714a882b6514ce94d8e58ff6f79b01b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381790/apply", "externalId" : "e2b6ba04-dc00-46ca-881d-d69daca53cd0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "GenAI, Machine Learning, Foundation models, EC2, SageMaker Hyperpod, GPU compute, ML frameworks", "professionalSkills" : [ "Business development", "Market sizing", "Pipeline building", "GTM plans", "Technical architectures", "Thought-leadership", "Account planning", "Opportunity pursuit" ], "hardSkillsList" : [ "Model training", "Inference", "Performance evaluations", "Application refactoring", "System designs" ], "hardSkills" : [ { "name" : "Model training", "level" : "intermediate" }, { "name" : "Inference", "level" : "intermediate" }, { "name" : "Performance evaluations", "level" : "intermediate" }, { "name" : "Application refactoring", "level" : "intermediate" }, { "name" : "System designs", "level" : "intermediate" } ], "majorSkills" : "GenAI Platform, Solution Architecture, Cloud Computing, Machine Learning", "majorSkillsList" : [ "GenAI Platform", "Solution Architecture", "Cloud Computing", "Machine Learning" ], "coreResponsibilities" : "Drive business development, Build pipeline, Define PoC requirements, Develop GTM plans, Understand business problems, Implement scalable GenAI solutions, Develop cloud-based GenAI solutions, Build workloads on EC2, Deploy workloads on SageMaker Hyperpod, Deploy workloads on accelerated compute, Create technical architectures, Create content, Create enablement materials, Train field teams, Establish thought-leadership, Collaborate with account teams, Collaborate with research scientists, Collaborate with product teams, Collaborate with ISVs, Collaborate with model providers, Drive implementations, Drive innovation, Communicate GenAI potential, Communicate technical challenges, Leverage GPU infrastructure expertise, Leverage ML frameworks expertise, Identify cross-industry patterns, Identify cross-industry trends, Represent AWS best practices", "teamCollaboration" : "Account Teams; Area Specialist Teams; Product teams; ISVs; Model providers", "domainKnowledge" : "GenAI; Foundation models; GPU based compute; ML frameworks; Cloud computing; Systems engineering; Infrastructure; Security; Networking; Data & analytics; NVIDIA GPU architectures; CUDA programming; Distributed computing; HPC; ML training optimization; ML inference optimization", "domainList" : [ "genai", "foundation-models", "gpu-based-compute", "ml-frameworks", "cloud-computing", "systems-engineering", "infrastructure", "security", "networking", "data-analytics", "nvidia-gpu-architectures", "cuda-programming", "distributed-computing", "hpc", "ml-training-optimization", "ml-inference-optimization" ], "domainSpecificKnowledge" : [ "GenAI", "Foundation models", "GPU based compute", "ML frameworks", "Cloud computing", "Systems engineering", "Infrastructure", "Security", "Networking", "Data & analytics", "NVIDIA GPU architectures", "CUDA programming", "Distributed computing", "HPC", "ML training optimization", "ML inference optimization" ], "communicationSkills" : "Communicate GenAI potential; Communicate technical challenges", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Solve customers' complex challenges", "qualificationsBasic" : "8+ years technology domain experience, 3+ years applications/infrastructures experience, 8+ years IT development/consulting experience", "qualificationsPreferred" : "5+ years infrastructure architecture experience, 5+ years database architecture experience, 5+ years networking experience, Experience with end user communities, Experience with developer communities, Knowledge of NVIDIA GPU architectures, Knowledge of CUDA programming, Knowledge of distributed computing, Knowledge of HPC, Knowledge of ML training optimization, Knowledge of ML inference optimization", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Global Sales drives worldwide cloud adoption, empowering customers through tailored service, unmatched technology, and customer support. We dive deep into each customer's unique challenges to craft innovative solutions that accelerate their success with the customer-first approach that built the world's most adopted cloud. As part of the GenAI Platform team, you'll develop and deploy strategies to accelerate customer adoption across industry verticals. You'll work directly with key customers on GenAI model training and inference, helping them adopt and scale large-scale workloads like foundation models, conduct performance evaluations, and develop demos and GTM plans. AWS Specialist Solution Architects(SSA) are technologists with deep domain expertise and business development acumen to solve customers' most complex challenges through scalable, flexible technical architectures. As members of Area Specialist and Account Teams, SSAs guide customers through application refactoring and cloud-based system designs while handling account planning and opportunity pursuit, bringing valuable insights to product teams and strengthening the roadmap. Key job responsibilities -Drive business development through market sizing, pipeline building, and technical proof-of-concept requirements with customers -Develop and execute GTM plans by working directly with customers to understand business problems and implement scalable GenAI solutions -Develop cloud-based GenAI solutions enabling customers to build and deploy workloads on EC2, SageMaker Hyperpod, and accelerated compute platforms -Create technical architectures, content, and enablement materials to train field teams and establish thought-leadership -Collaborate with account teams, research scientists, product teams, ISVs, and model providers to drive implementations and innovation -Communicate GenAI potential and technical challenges to engineering teams and C-Level executives, leveraging expertise in GPU based compute infrastructure and ML frameworks -Identify cross-industry patterns and trends to accelerate innovation and represent AWS best practices to customers and partners About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - 8+ years of IT development or implementation/consulting in the software or Internet industries experience Preferred Qualifications: - 5+ years of infrastructure architecture, database architecture and networking experience - Experience working with end user or developer communities - Knowledge of NVIDIA GPU architectures, CUDA programming, distributed computing, HPC, and ML training/inference optimization techniques Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually USA, TX, Austin - 153,600.00 - 207,800.00 USD annually USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually", "summaryDescription" : "Sr. Solution Architect, GenAI Platform at Amazon Web Services, Inc.. Skills: GenAI Platform, Solution Architecture, Cloud Computing, Machine Learning. Drive business development. Build pipeline", "postedDate" : "2026-06-13T02:35:44.331", "createdAt" : "2026-06-13T02:35:44.331", "lastUpdated" : "2026-06-14T22:25:18.075", "ingestTimestamp" : "2026-06-13T02:35:44.331", "mongoId" : "69cf3f042beec4dd3d93403d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381790/apply", "salaryAnnualMin" : 153600, "salaryAnnualMax" : 207800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Model training", "Inference", "Performance evaluations", "Application refactoring", "System designs", "GenAI Platform", "Solution Architecture", "Cloud Computing", "Machine Learning", "Business development", "Market sizing", "Pipeline building", "GTM plans", "Technical architectures", "Thought-leadership", "Account planning", "Opportunity pursuit", "GenAI", "Foundation models", "GPU based compute", "ML frameworks", "Cloud computing", "Systems engineering", "Infrastructure", "Security", "Networking", "Data & 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"Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.8496579,-75.9760751" } ], "locationText" : "Virginia Beach, Virginia, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Azure, KQL, Application Insights, Azure Site Recovery, Azure Backup, Azure Security, Azure Networking, App Gateways, Front Door, Firewall, VWAN, Azure Storage, Azure Automation, Azure Sentinel, App Services, Containers, AKS, Managed Instances, Azure SQL, Azure DNS, Azure Virtual Desktop, Azure Files, Bicep, Terraform", "professionalSkills" : [ "Consulting leadership", "Technical delivery", "Stakeholder engagement", "Project forecasting", "Solutioning", "Consultative approach" ], "hardSkillsList" : [ "Infrastructure as Code", "Performance analysis", "Troubleshooting", "Remediation techniques", "Analytical problem-solving" ], "softSkillsList" : [ "Leadership", "Mentorship", "Accountability" ], "hardSkills" : [ { "name" : "Infrastructure as Code", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Remediation techniques", "level" : "intermediate" }, { "name" : "Analytical problem-solving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentorship" }, { "name" : "Accountability" } ], "majorSkills" : "Cloud architecture, Azure technologies, Technical delivery", "majorSkillsList" : [ "Cloud architecture", "Azure technologies", "Technical delivery" ], "coreResponsibilities" : "Lead technical delivery, Serve as subject matter expert, Foster relationships, Shape technical solutions, Drive delivery excellence, Cultivate culture, Provide consulting leadership, Mentor internal teams, Mentor external teams, Support technical delivery, Drive timelines, Act as player-coach, Promote continuous improvement, Partner with leaders, Deliver constructive feedback, Mentor team members, Serve as Technical Lead, Ensure client success, Exceed client expectations, Translate business needs, Delegate workstream requirements, Drive collaboration, Deliver enterprise-class solutions, Develop stakeholder engagement strategies, Facilitate customer backlog planning, Support project forecasting, Support Sprint 0 planning, Conduct post-project retrospectives, Identify improvement opportunities, Celebrate team successes, Promote delivery impact, Demonstrate Azure knowledge, Lead cloud platform projects, Ensure IaC delivery, Embrace automation, Embrace AI delivery, Support practice leaders, Support directors, Support delivery owners, Drive predictable outcomes, Establish trusted advisor relationships, Invest in client relationships, Create tailored experiences, Elevate current capabilities, Foster trusted communications, Reduce client investments, Head off escalations, Maintain utilization target, Support Presales, Shape solutioning, Help peers break blockers, Develop consultative approach", "teamCollaboration" : "Cross-practice teams; Client relationships; Microsoft counterparts", "projectManagementSkills" : [ "Sprint planning", "Backlog planning" ], "domainKnowledge" : "Cloud technologies; Azure technologies; Cloud migration; Cloud ecosystem; Leading-edge cloud technologies", "domainList" : [ "cloud-technologies", "azure-technologies", "cloud-migration", "cloud-ecosystem", "leading-edge-cloud-technologies" ], "domainSpecificKnowledge" : [ "Cloud technologies", "Azure technologies", "Cloud migration", "Cloud ecosystem", "Leading-edge cloud technologies" ], "toolProficiency" : [ "Bicep", "Terraform" ], "communicationSkills" : "Written communication; Verbal communication; Presentation skills", "continuousLearning" : "Maintain knowledge of latest technologies", "innovationCreativity" : "Experimentation", "problemSolvingSkills" : "Troubleshooting; Remediation techniques; Analytical problem-solving", "specialRequirements" : "No work visa sponsorship", "outcomesObjectives" : "Exceed client expectations; Drive predictable outcomes", "qualificationsBasic" : "Technical delivery oversight on multiple client engagements, AZ-305 Cloud Architect certification", "qualificationsPreferred" : "Nerdio experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you looking for a role that motivates and challenges you? Are you ready for an opportunity for growth? Do you want to work on teams where people roll up their sleeves to take on tough problems together, and regularly blow the doors off our clients with their outstanding teamwork? If you answered yes to those questions, 3Cloud might just be for you! At 3Cloud, we hire people who aren’t afraid to experiment or fail. We hire people who are willing to give direct and candid feedback to their managers, leaders, and team members. We hire people who jump at those opportunities because they care about our collective growth and success. We hire people who challenge and hold each other accountable for living 3Cloud’s core values because they know that it will result in amazing experiences and solutions for our clients and each other. Senior Architect – Cloud Platform The Senior Architect leads technical delivery for complex, long-term cloud engagements, serving as a subject matter expert and fostering strong relationships across practices, clients, and Microsoft counterparts. This role is pivotal in shaping technical solutions, driving delivery excellence, and cultivating a collaborative, inclusive culture. Responsibilities Leadership & People Development • Provide consulting leadership and mentorship to internal and external teams, supporting technical delivery and driving timelines for customer-focused outcomes. • Act as a player-coach, promoting continuous improvement and partnering with practice leaders and consulting managers to deliver constructive feedback. • Mentor team members on enterprise engagement best practices. Technical Delivery • Serve as Technical Lead on key accounts, ensuring client success and exceeding expectations. • Translate client business needs into effective technical solutions and delegate workstream requirements appropriately. • Drive collaboration across cross-practice teams to deliver high-quality, enterprise-class solutions. • Develop stakeholder engagement strategies and facilitate customer backlog planning. • Support project forecasting and Sprint 0 planning. • Conduct post-project retrospectives to identify improvement opportunities. • Celebrate team successes and promote the impact of delivery engagements. Technical Expertise • Demonstrate broad and deep knowledge of Azure technologies, including infrastructure, networking, security, automation, and cloud migration. • Azure technologies inclusive of but not limited to: Azure Foundation, Log Analytics (KQL), Application Insights, Azure Site Recovery, Azure Backup, Security Center, Azure Networking (App Gateways, Front Door, Firewall, VWAN), Azure Storage, Azure Automation, Azure Sentinel, App Services, Containers (AKS), Managed Instances, Azure Migrate, Azure SQL, Azure DNS, Azure Virtual Desktop, Azure Files • Lead projects spanning multiple cloud platform offerings and ensure delivery using Infrastructure as Code (IaC) tools such as Bicep or Terraform. • Embrace automation and AI enabled delivery. Partners with/ Supports • Supports – Practice Leaders, and Directors, and Delivery Owners for client success support, technology standards, and delivery patterns. • Partners With – People management (consulting managers and directors) for employee feedback, skills assessment, and coaching opportunities. Business Growth & Partnerships • Drive transparent, predictable outcomes to enable future opportunities and establish trusted advisor relationships with key accounts. • Reach trusted advisor for Key and Priority Accounts • Invest in client relationships by creating tailored experiences that elevate current capabilities and foster trusted communications. • Help reduce client investments by heading off escalations before they hit the bottom line Individual Targets • Maintain an 86% utilization target (36 hours/week). • Support Presales as a Subject Matter Expert to help shape solutioning • Help peers break through technical blockers and develop their consultative approach to client interactions. • Coach, mentor, and train younger in-career peers Requirements • Previous experience acting as the technical delivery oversight on multiple client engagements with strong consultative skills • Broad deep technical knowledge across Azure technologies inclusive of: Log Analytics (KQL), Application Insights, Azure Site Recovery, Azure Backup, Azure Security, Azure Networking (App Gateways, Front Door, Firewall, VWAN), Azure Storage, Azure Automation (IaC), Azure Sentinel, App Services, Containers (AKS), Managed Instances, Azure SQL, Azure DNS, Azure Virtual Desktop + Nerdio, Azure Files • Have a strong understanding of Cloud Infrastructure solutions and the delivery/execution of how they are implemented using IaC (Bicep or Terraform) • Drive to maintain knowledge of the latest technologies and how they may impact existing 3Cloud offerings • Understanding of cloud ecosystem and leading-edge cloud emerging technologies. • Performance analysis, troubleshooting and remediation techniques. • Strong analytical problem-solving ability. • Strong presentation, written and verbal communication skills. • Self-starter with the ability to work independently or as part of a virtual project team • Have obtained the AZ-305 Cloud Architect certification Don’t meet every single requirement? At 3Cloud we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At this time, we cannot sponsor applicants for work visas This Job Posting will expire on Monday, June 29th, 2026. 3Cloud Total Rewards Highlights Include:  Flexible work location with a virtual first approach to work!  401(K) with match up to 50% of your 6% contributions of eligible pay  Generous PTO providing a minimum of 15 days in addition to 9 paid company holidays and 2 floating personal days  Two medical plan options to allow you the choice to elect what works best for you! Option for vision and dental coverage  100% employer paid coverage for life and disability insurance Paid leave for birth parents and non-birth parents  Option for Healthcare FSA, HSA, and Dependent Care FSA $67.00 monthly tech and home office allowance Utilization and/or discretionary bonus eligibility based on role  Employee Assistance Program to help with everyday challenges 3Cloud offers competitive compensation. In addition to base pay employees are eligible to receive an annual discretionary/utilization bonus. If you are hired at 3Cloud your final base salary is based on factors such as skills, education, experience and/or geographic location. Please keep in mind that the range mentioned above includes the full base salary range for the role. It is not typical for offers to be made at or near the top of the range. Base Salary Range $136,300—$204,500 USD Don’t meet every single requirement? At 3Cloud we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At this time, we cannot sponsor applicants for work visas.", "summaryDescription" : "Senior Architect - Cloud Platform at 3Cloud. Skills: Cloud architecture, Azure technologies, Technical delivery. Lead technical delivery. 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Remote Product Architect For Chip Platform And Hardware Optimization Jobs

Top Skills

Optimization Solutions Architect

Platform Architect

Sr. Product Manager, Sales Optimization and Planning

EE System & Hardware Architect

Platform and Product Manager

Sr Platform Architect

System Architect, Hardware Architecture

System Architect, Hardware Architecture

Principal Engineer - Systems for ML Inference and Training Optimization

Network Platform Architect

Sr. Physical Design Engineer - Full Chip, Hardware Compute Group

Principal EE Architect (System & Hardware)

Architect for Social Infrastructure

Principal EE Architect (System & Hardware)

Technical Product Manager, Platform and Innovation

Product Manager (AI Hardware)

Manager, AI Platform Architect

Senior Applied Scientist - Systems for ML Inference and Training Optimization

Director of Platform and Product Security

Data Platform Architect (Snowflake)

ADAS Platform Software Architect

Chip Design Engineer

Manager, AI Platform Architect

Chip Design Student

Chip Design Engineer

ADAS Platform Software Architect

Senior Product Manager, AI Agents and Platform

Senior Platform Architect

Product Engineer, Product Platform (Frontend)

Product Owner, AI Agents and Platform

Product Owner, AI Agents and Platform

Project Architect for Social Infrastructure

Sr. Camera Architect, Hardware-Technology & Archit

Architect for Data Center Projects

Senior Product Manager I, Data Platform and Platform API

Enterprise Platform Architect & Tech Lead

Product Lead, Predictive Platform

Director of Product - Data Platform and Decision Tooling

Director of Product - Data Platform and Decision Tooling

Solutions Architect for Public Sector

Product Manager, Cloud Platform

Sr. Product Marketing Manager, Hardware

Director of Product - Data Platform and Decision Tooling

Chip Validation Software Engineer

Autonomous Hardware and Radio Technician

Sr. Solution Architect, GenAI Platform

Product Architect

Director of Product (Hardware, Electronics)

Sr. Solution Architect, GenAI Platform

Senior Architect - Cloud Platform

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