{ "count" : 23652, "data" : [ { "id" : "6a305178f292fd229cf00f7e", "title" : "Staff Data Scientist: Semantic Substrate Incubation", "company" : "Qualtrics", "industry" : "Technology", "salary" : { "min" : 206500.0, "max" : 271000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, United States", "locations" : [ "Seattle", "Washington", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:57:36.965", "fingerprint" : "754de3c88bd3924326137ffb38282589cba5801f027fb25c737f8a82588ec639", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.qualtrics.com/careers/us/en/job/8003715?gh_jid=8003715", "externalId" : "8003715", "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", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "Python, SQL, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Causal inference" ], "hardSkillsList" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Data engineering, AI", "majorSkillsList" : [ "Data science", "Machine learning", "Data engineering", "AI" ], "coreResponsibilities" : "Develop and deploy machine learning models, Design and implement data pipelines, Build and maintain data infrastructure, Perform statistical analysis, Conduct A/B testing, Develop causal inference models, Collaborate with engineering teams, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Research teams", "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data science or related field, Proficiency in SQL, Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field", "qualificationsPreferred" : "PhD in a quantitative field, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing. Staff Data Scientist: Semantic Substrate Incubation Why We Have This Role At Semantic Substrate Incubation, we are drowning in data but starving for meaning. As our lead data scientist, you will bridge this \"Meaning Gap\" by turning raw, chaotic event logs into an intelligent, concept-linked graph—the Semantic Brain. You will move past basic chat interfaces to architect an Identity-Anchored World Model that allows LLMs to understand complex enterprise ideas like \"High-Value Churn Risk\" and drive autonomous, agentic decisions. Working alongside a tight-knit team of researchers and production engineers, your work will directly define how the next generation of AI comprehends the business world. How You’ll Find Success Thrives in Ambiguity: Operates with a zero-to-one startup mentality. You don't need a map; you look at complex, unstructured data chaos and naturally enjoy building foundational AI products and data pipelines from scratch. Bridges Science and Engineering: Fluidly moves between deep applied AI research and robust production engineering, ensuring brilliant theories actually scale in production. Customer-Centric Translator: Enjoys working directly with pilot partners and customers, listening to their unique business pain points, and translating them into technical requirements and concrete industry ontologies. Principled Technical Leader: Takes ownership of the technical vision, setting a high bar for architectural excellence while mentoring and elevating the engineering team around you. Rigorous and Evidence-Driven: Rejects guesswork. You lean heavily on simulation, validation, and off-policy evaluation to ensure AI recommendations are grounded in reality. How You’ll Grow Pioneer Agentic AI: You will be at the absolute bleeding edge of LLM orchestration and world modeling, setting industry standards for how enterprises deploy autonomous agents. Expand Technical Authorship: Refine your voice as an industry thought leader with active support to publish papers, write technical books, or speak at major global AI conferences. Executive Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life. #hybrid Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. Applicants in the United States of America have rights under Federal Employment Laws:Family however, base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer. Full-time employees are eligible for medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus. For a detailed look at our benefits, visit Qualtrics US Benefits. Washington State Base Annual Pay Transparency Range $206,500—$271,000 USD", "summaryDescription" : "Staff Data Scientist: Semantic Substrate Incubation at Qualtrics. Skills: Data science, Machine learning, Data engineering, AI. Develop and deploy machine learning models. Design and implement data pipelines", "postedDate" : "2026-06-15T23:17:41.533", "createdAt" : "2026-06-15T23:17:41.533", "lastUpdated" : "2026-06-16T08:57:36.965", "ingestTimestamp" : "2026-06-15T23:17:41.533", "mongoId" : "6a305178f292fd229cf00f7e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 206500, "salaryAnnualMax" : 271000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Data science", "Machine learning", "Data engineering", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Causal inference", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 896.97003, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f53f292fd229c057fb0", "title" : "Senior Software Engineer, AlloyDB Semantic Search", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Software Engineer in Sunnyvale, CA, adjusted for the technology industry and a large company size." }, "location" : "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]", "locations" : [ "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]" ], "timestamp" : "2026-06-16T13:13:23.772", "fingerprint" : "5aa9c9e133fbc1125e6f31b76011aee2833e1cbe9fd068f1c6ffb00bcdd62237", "source" : "google", "language" : "en", "externalId" : "106806280403722950", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "summaryDescription" : "Senior Software Engineer, AlloyDB Semantic Search", "postedDate" : "2026-06-16T01:52:10.145", "createdAt" : "2026-06-16T01:52:10.145", "lastUpdated" : "2026-06-16T13:13:23.772", "ingestTimestamp" : "2026-06-16T01:52:10.145", "mongoId" : "6a307f53f292fd229c057fb0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "_score" : 769.17413, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8d8874d8ee00a0979421", "title" : "Operations Orchestrator", "company" : "Bolt Farm", "industry" : "Onsite Guest Operations", "salary" : { "min" : 122600.0, "max" : 132600.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Bolt Farm - Whitwell, TN", "locations" : [ "Bolt Farm - Whitwell, TN" ], "timestamp" : "2026-06-16T01:06:18.203", "fingerprint" : "68011be96716288df6dbfbbf83faece9b6fe245ace56910e7907125296996e5d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/bolt-farm/ee6820fe-9ed2-41da-9d97-237e6029e99f/application", "externalId" : "ee6820fe-9ed2-41da-9d97-237e6029e99f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Whitwell", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2014631,-85.5191323" } ], "locationText" : "Whitwell, Tennessee, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AI, PMS, BoltOS", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Systems thinking", "First-principles thinking", "Simplification", "Deletion", "Speed" ], "hardSkillsList" : [ "SOP creation", "Checklist creation", "Template creation", "Workflow standardization" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "SOP creation", "level" : "intermediate" }, { "name" : "Checklist creation", "level" : "intermediate" }, { "name" : "Template creation", "level" : "intermediate" }, { "name" : "Workflow standardization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Operations Orchestration, Systems Building, Process Improvement", "majorSkillsList" : [ "Operations Orchestration", "Systems Building", "Process Improvement" ], "coreResponsibilities" : "Walk the villas with housekeeping, Ride with maintenance, Sit in on spa and DreamWeaver setups, Jump into front-of-house, Build real trust, Coach supervisors on consistency and standards, Turn observations into dead-simple SOPs, Standardize the moments that matter, Convert one-off fixes into reusable playbooks, Own daily huddles, Own weekly cadences, Tighten every handoff, Build integrated systems, Stress-test integrated systems, Partner with tech to embed processes, Identify automation opportunities, Catch friction before guests feel it, Respond calmly when something breaks, Fix the root cause, Update the system", "teamCollaboration" : "Cross-functional teams; Supervisors; Housekeeping; Maintenance; Spa; DreamWeavers; Front-of-house; Tech team", "projectManagementSkills" : [ "SOPs", "Checklists", "Templates", "Playbooks" ], "domainKnowledge" : "Hospitality operations; Luxury retreat operations; High-touch service environments", "domainList" : [ "hospitality-operations", "luxury-retreat-operations", "high-touch-service-environments" ], "domainSpecificKnowledge" : [ "Hospitality operations", "Luxury retreat operations", "High-touch service environments" ], "toolProficiency" : [ "BoltOS", "Task tools", "Comms tools", "Finance tools", "Custom OS", "AI tools", "PMS" ], "communicationSkills" : "Written communication; Simple updates; Visual updates", "documentationSkills" : "SOPs; Checklists; Templates; Playbooks", "innovationCreativity" : "Rebuilding hospitality from first principles; AI-first thinking", "problemSolvingSkills" : "Root cause analysis; Eliminate waste; Eliminate chaos; Simplify systems", "outcomesObjectives" : "30%+ reduction in avoidable escalations and recurring operational interruptions within 90 days; 3–5 actively used SOPs, checklists, or workflows embedded into BoltOSoltGPT per month; % of recurring guest friction points resolved with a root-cause fix, SOP update, and OS change within 72 hours; 90% of recurring work executed via SOP/OS instead of heroics; <10% of issues re-occurring after being “fixed”", "qualificationsBasic" : "Several years improving operations in boutique/luxury hospitality, vacation rentals, resorts, restaurants, or similar high-touch environments, Proven ability to turn chaos into SOPs, training, and standards that others run successfully without you, Experience coaching cross-functional teams and raising standards without burnout, Written communication—your SOPs, recaps, and updates are simple, visual, and actually used", "qualificationsPreferred" : "Opening/scaling a property, EOS or Lean experience, Deep work with vibe coding, custom software, PMS, hospitality CRM, or ops platforms", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "THE MISSION Turn messy on-site reality into calm, clean, scalable systems that the Sr. Director and frontline teams can actually run on. - Eliminate waste and chaos. - Convert floor truth into BoltOS standards. - Free the Sr. Director to lead instead of firefight. WHY THIS ISN’T A NORMAL OPS ROLE Bolt Farm Treehouse isn’t a generic boutique hotel. It’s a mountaintop lab rebuilding hospitality from first principles—so couples don’t just vacation, they remember why they chose each other. We’re building America’s most iconic romantic luxury retreat brand — nature-immersed, emotionally transformative experiences with 3,300+ five-star reviews, features in Forbes, Travel + Leisure, and Netflix. We’re scaling from a $32M flagship to a $200M+ national portfolio. We are the Department of Growth Efficiency (DOGE): anti-bloat, anti-corporate theater, pro-beautiful systems that actually work. We need an Operations Orchestrator who treats friction as the enemy and sees a perfect SOP as a work of art. WHAT YOU’LL DO Lead through the team - Walk the villas with housekeeping, ride with maintenance, sit in on spa and DreamWeaver setups, and jump into front-of-house. - Build real trust so people tell you what’s actually happening. - Coach supervisors on consistency and standards—without micromanaging their teams. Translate floor reality into bulletproof processes - Turn observations into dead-simple SOPs, photo standards, checklists, and templates that new hires can follow on day one. - Standardize the moments that matter: arrivals, turnovers, staging, spa, DreamWeaver experiences, and maintenance cycles. - Convert one-off fixes into reusable playbooks so the same problem never needs a second meeting. Run the operating rhythm - Own daily huddles and weekly cadences that keep housekeeping, maintenance, spa, DreamWeavers, and front-of-house in sync. - Tighten every handoff so requests and issues flow cleanly without chasing. Build & stress-test the systems - Treat PMS, BoltOS, task tools, comms, and finance as one integrated ecosystem—find the gaps and close them. - Partner with tech to embed your processes directly into our custom OS and AI tools. - Identify automation that removes repetitive work and returns time to guests. Protect the guest experience Every decision is filtered through one question: “Does this make it easier for couples to reconnect?” Catch friction before guests feel it. When something breaks, respond calmly, fix the root cause, and update the system. You are the Sr. Director’s execution partner. You don’t own the whole property—you make it run 2–3× smoother. HOW WE’LL MEASURE YOU Target Metrics: Director Leverage (Primary) 30%+ reduction in avoidable escalations and recurring operational interruptions within 90 days Systemization Velocity 3–5 actively used SOPs, checklists, or workflows embedded into BoltOS/BoltGPT per month Guest Friction Kill Rate % of recurring guest friction points resolved with a root-cause fix, SOP update, and OS change within 72 hours. Operational Flow Health 90% of recurring work executed via SOP/OS instead of heroics Repeat Failure Rate <10% of issues re-occurring after being “fixed” WHO YOU ARE - Hospitality heart + builder brain: you love guests but geek out over clean systems. - Systems thinker: you see workflows as connected ecosystems and reject band-aid fixes. - First-principles operator: you break things down, simplify, and explain clearly. - AI-curious and tool-agile: you use modern software and AI to make work lighter (no coding required). - Calm, credible, and trustworthy: people tell you the truth and you follow through. WHAT YOU BRING - First principles thinking. Elon’s 5-step process and a bias toward simplification, deletion, and speed. - You have a low tolerance for inefficiency, rework, and unnecessary complexity. - AI-first thinking. You’re obsessed & experienced with harnessing the power of AI. - Several years improving operations in boutique/luxury hospitality, vacation rentals, resorts, restaurants, or similar high-touch environments. - Proven ability to turn chaos into SOPs, training, and standards that others run successfully without you. - Experience coaching cross-functional teams and raising standards without burnout. - Strong written communication—your SOPs, recaps, and updates are simple, visual, and actually used. Bonus points for: opening/scaling a property, EOS or Lean experience, or deep work with vibe coding, custom software, PMS, hospitality CRM, or ops platforms. WHY JOIN US We started with one handmade honeymoon treehouse. We’re now a growing 33-villa mountaintop sanctuary helping thousands of couples reconnect while the world burns out below. Your seat: Make the magic scalable. Location: On-site, Whitwell, TN (mountaintop life beats cubicle life). COMPENSATION OTE: $122,600 – $132,600 - Base: $90,000 - Performance Bonus: $13,000 annually (paid bi-weekly, KPI-tied) - Sign-On: $6,000 (paid quarterly in Year 1) - Health Stipend: $3,600/year - Profit Pool: Year 1 estimate $10k–$20k+ (scales with us) - Free stays + million-dollar views + high-performance team. FINAL FILTER If you like corporate theater, slow change, or “that’s how we’ve always done it,” this role will chew you up. If you’re a systems-obsessed builder who wants to conduct the orchestra from the forest floor… Apply. Let’s make hospitality both magical and mechanically beautiful.", "summaryDescription" : "Operations Orchestrator at Bolt Farm. Skills: Operations Orchestration, Systems Building, Process Improvement. Walk the villas with housekeeping. 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Product teams; Software Development Engineers; Product Engineers; Product Managers; Internal teams; Documentation teams; Support teams; Product management", "projectManagementSkills" : [ "Project planning", "Scope definition", "Timelines", "Delivery milestones" ], "domainKnowledge" : "Geospatial workflows; ArcGIS Enterprise deployment; Windows deployment; Linux deployment; Kubernetes deployment", "domainList" : [ "geospatial-workflows", "arcgis-enterprise-deployment", "windows-deployment", "linux-deployment", "kubernetes-deployment" ], "domainSpecificKnowledge" : [ "Geospatial workflows", "ArcGIS Enterprise deployment", "Windows deployment", "Linux deployment", "Kubernetes deployment" ], "toolProficiency" : [ "ArcGIS Enterprise", "ArcGIS Online" ], "communicationSkills" : "Cross-team communication; Present technical topics", "documentationSkills" : "API documentation; Technical documentation; Developer-facing guidance", "continuousLearning" : "Personal growth; Professional growth", "problemSolvingSkills" : "Solve customer problems", "outcomesObjectives" : "Deliver REST API features", "qualificationsBasic" : "2+ years RESTful APIs, Solid understanding of REST, Solid understanding of web services, Solid understanding of HTTP concepts, Proficiency in programming or scripting languages, Experience with ArcGIS Enterprise, Experience with ArcGIS Online, Experience with similar geospatial technology, Ability to write clear documentation, Ability to write accurate documentation, Ability to write developer-friendly documentation, Attention to detail, Ownership mindset, Commitment to product quality, Bachelor's degree in computer science, Bachelor's degree in engineering, Bachelor's degree in mathematics, Bachelor's degree in GIS, Bachelor's degree in related field", "qualificationsPreferred" : "Experience with cloud computing platforms, Experience with cloud computing services, Experience with API test automation frameworks, Experience with performance testing, Experience presenting technical topics", "workSiteFlexibility" : "Onsite", "rawDescription" : "Overview Make your mark on the future of ArcGIS. Join the ArcGIS Enterprise team as a REST API Product Engineer. We’re looking for a Product Engineer passionate about software development, APIs, and web technologies. In this role, you’ll design, test, and document REST API features in collaboration with cross-functional engineering and product teams. You’ll help ensure ArcGIS Enterprise REST APIs are reliable, secure, scalable, and designed to solve real customer problems. This role blends strong technical skills with user advocacy, clear documentation, and cross-team communication to deliver REST API features that power critical GIS workflows for organizations worldwide. Responsibilities Collaborate with Software Development Engineers, Product Engineers, and Product Managers to design, enhance, and validate REST APIs for geospatial workflows in ArcGIS Enterprise across multiple deployment environments (Windows, Linux, Kubernetes) Develop and execute functional, integration, and automation tests for new and existing API capabilities Advocate for users and developers within the software development team, ensuring APIs are intuitive, consistent, and built to support customer workflows Participate in project planning, contributing to scope definition, timelines, and delivery milestones Coordinate and communicate REST API features, updates, and changes with internal teams across engineering, documentation, support, and product management Certify REST API features prior to product release, ensuring quality and readiness Write and maintain API reference documentation, samples, and developer-facing guidance Present REST API features, design decisions, and release readiness at internal milestone and review meetings Showcase API capabilities and best practices by presenting at Esri conferences Requirements 2+ years of experience designing, testing, and validating RESTful APIs Solid understanding of REST, web services, and HTTP concepts (methods, headers, status codes, authentication, security) Proficiency in one or more programming or scripting languages (such as Python, JavaScript, Java) Experience with ArcGIS Enterprise, ArcGIS Online, or other similar geospatial technology Ability to write clear, accurate, and developer-friendly technical documentation Strong communication skills and comfort collaborating across teams Attention to detail, ownership mindset, and commitment to product quality Bachelor’s degree in computer science, engineering, mathematics, GIS, or related field Recommended Qualifications Experience with cloud computing platforms and services, such as Amazon S3, SQS, EC2, and Azure Experience with API test automation frameworks or performance testing Experience presenting technical topics to internal or external audiences #LI-TA1 #LI-Onsite Total Rewards Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the base salary range is $79,664—$133,120 USD The Company At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here. If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.", "summaryDescription" : "Product Engineer II- Rest API, ArcGIS Enterprise at Esri. Skills: REST API, ArcGIS Enterprise, Geospatial workflows. Design REST API features. Test REST API features", "postedDate" : "2026-06-12T01:19:49.906", "createdAt" : "2026-06-12T01:19:49.906", "lastUpdated" : "2026-06-14T19:33:20.512", "ingestTimestamp" : "2026-06-12T01:19:49.906", "mongoId" : "6a2a752d74d8ee00a0657073", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "API design", "API testing", "API validation", "Automation testing", "Functional testing", "Integration testing", "Technical documentation", "Ownership mindset", "REST API", "ArcGIS Enterprise", "Geospatial workflows", "User advocacy", "Cross-team communication", "Project planning", "Scope definition", "Timeline management", "Delivery milestones", "Timelines", "ArcGIS Enterprise deployment", "Windows deployment", "Linux deployment", "Kubernetes deployment", "ArcGIS Online" ], "skillCount" : 23, "jobCategory" : "product", "jobSubcategory" : "4220---r&d-software-product", "dataQualityScore" : 0.8888889, "_score" : 692.8152, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a305158f292fd229cefeead", "title" : "GTM Orchestration Director", "company" : "NICE", "salary" : { "min" : 220000.0, "max" : 330000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of GTM Orchestration in the US Technology industry, adjusted for seniority and remote work." }, "location" : "USA - Remote", "locations" : [ "USA - Remote" ], "timestamp" : "2026-06-16T07:03:53.454", "fingerprint" : "a280d095f88504ff54293fd746b8442ad506f524c6e709d8f282a8d0224c6329", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.eu.greenhouse.io/nice/jobs/4884055101?gh_jid=4884055101", "externalId" : "4884055101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Director", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? The NiCE GTM Orchestration Director is a senior cross-functional leader responsible for orchestrating end-to-end alignment across product, marketing, sales, pre-sales, enablement, customer success, professional services, and competitive intelligence. This role exists to solve a systemic organizational gap: while many disciplines contribute to bringing products to market, no unified mechanism currently ensures those disciplines operate cohesively — resulting in fragmented messaging, incomplete enablement, poor feedback loops, and suboptimal field execution. The GTM Orchestration Director acts as the central integrator and forcing function, ensuring that all elements required to successfully commercialize a product are connected, complete, and effectively delivered to the field. This role is chartered to: Establish a repeatable, scalable GTM orchestration model across the organization Eliminate disconnects across functional silos Ensure the field is fully enabled, informed, and competitive Create closed-loop feedback mechanisms from field execution back into product and marketing Increase revenue productivity, competitive win rates, and product adoption This role serves as the arbiter in the middle — ensuring the organization is not merely producing outputs (products, decks, events), but delivering cohesive, consumable, and actionable GTM packages to sellers. Key Responsibilities Cross-Functional GTM Orchestration Lead alignment across all revenue-impacting functions, including: Product & R&D Product Marketing, Field Marketing, and Partner Marketing Sales & Pre-Sales Enablement Customer Success and Professional Services Value Realization / ROI teams Competitive Intelligence Ensure all disciplines contribute to a complete A-to-Z GTM motion — not isolated deliverables — and create and enforce a structured process for bringing products to market, from innovation through field execution. Product Commercialization Ownership For assigned product(s) or portfolio streams, own: Definition and validation of the value proposition Development of clear, differentiated positioning Delivery of complete GTM packages, including messaging, sales narratives, competitive positioning, enablement materials, and customer-facing collateral Ensuring that sellers receive everything required to effectively sell a solution — not partial or fragmented inputs Field Enablement and Execution Readiness Ensure that: Sales teams understand the when, why, and how to sell each product Pre-sales teams are equipped with technical depth and demo capabilities Enablement programs are aligned and relevant to real-world selling scenarios Proactively identify opportunities to sharpen field knowledge, clarify messaging, strengthen technical support, and deepen competitive positioning. Drive accountability to ensure sales teams are always equipped with the enablement they need to perform at their best. Competitive Intelligence Integration Partner with competitive intelligence teams to: Continuously monitor key competitors, including emerging AI-first players and platform competitors Translate insights into actionable frontline guidance Rapidly propagate competitive changes into messaging, enablement, and field marketing narratives Equip sellers to respond to real-time competitive pressures Feed field-identified competitive gaps back into product and marketing Feedback Loop Creation and Systemization Establish formal mechanisms for: Capturing field insights — wins, losses, objections, and execution gaps Feeding those insights into product development, marketing strategy, and messaging Building scalable, repeatable systems to capture and propagate field learnings across the organization Propagating learnings consistently across the organization Organizational Influence and Change Leadership Act as a senior cross-functional change agent Drive alignment across teams with different KPIs, goals, and incentives Challenge and improve outputs from any function when necessary — messaging, content, positioning Apply executive-level influence to drive accountability, break down silos, and enforce standards Serve as a single-threaded owner for GTM effectiveness across assigned domains Portfolio Ownership (GTM Streams) Own a defined set of products or solution areas Scale responsibility based on strategic importance, market complexity, and revenue impact Balance depth vs. breadth across high-priority growth areas and the broader product portfolio Operating Model Authority: Significant cross-functional influence across the organization Orientation: Operates horizontally across the organization, not vertically within a single team Function: Acts as the heliostat controller — aligning all functional mirrors toward a single output: successful field execution and revenue generation Key Success Metrics Increased sales productivity and win rates Improved field readiness and adoption of new products Reduced time-to-market for new capabilities Higher consistency and quality of GTM messaging Measurable improvements in competitive positioning effectiveness Strong, repeatable feedback loops influencing product and strategy Ideal Candidate Profile Experience Senior executive with deep experience across multiple disciplines: Sales, Marketing, Product, Pre-Sales Strong operational and strategic acumen across complex, matrixed organizations Track record of building GTM systems and processes in dynamic, high-growth environments Capabilities Proven ability to influence without authority and drive cross-functional alignment Skilled at leading complex organizational change across teams with competing priorities High credibility with field sales teams, product organizations, and marketing leaders Comfortable operating in ambiguous, unstructured environments Why This Role Exists NiCE has built deep expertise across each discipline that contributes to GTM success. The opportunity now is to amplify that strength by creating tighter integration across those functions — unlocking greater revenue productivity, faster time-to-market, and more consistent field execution. This role is designed to capture that opportunity by: Unifying strong individual disciplines into a cohesive, end-to-end GTM motion Accelerating competitive responsiveness across messaging, enablement, and the field Ensuring the full value of NICE's product portfolio is realized in every selling conversation The GTM Orchestration Director will build the connective system that ensures all organizational efforts converge into a coherent, executable go-to-market motion that drives revenue outcomes. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Requisition ID: 11138 Reporting into: VP of Sales Role Type: Individual Contributor About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.", "summaryDescription" : "GTM Orchestration Director at NICE", "postedDate" : "2026-06-15T23:16:27.634", "createdAt" : "2026-06-15T23:16:27.634", "lastUpdated" : "2026-06-16T07:03:53.454", "ingestTimestamp" : "2026-06-15T23:16:27.634", "mongoId" : "6a305158f292fd229cefeead", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "_score" : 669.98016, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3059b0f292fd229cf4a008", "title" : "Database Manager - Orchestration", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Database Manager - Orchestration in Rolla, United States, adjusted for seniority and full-time employment." }, "location" : "Rolla, MO", "locations" : [ "Rolla, MO" ], "timestamp" : "2026-06-16T08:01:20.775", "fingerprint" : "a283c197e9f09a97400fe1ff752cb21087cf334a6333bd75d4c5d5d695b4cf04", "source" : "jazzhr", "language" : "en", "externalId" : "jEo2PMld8I", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Rolla", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.9509324,-91.7708076" } ], "locationText" : "Rolla, Missouri, United States", "experienceLevel" : "Manager", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Database Manager - Orchestration", "createdAt" : "2026-06-15T22:28:26.041", "lastUpdated" : "2026-06-16T08:01:20.775", "ingestTimestamp" : "2026-06-15T22:28:26.041", "mongoId" : "6a3059b0f292fd229cf4a008", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.44444445, "_score" : 637.112, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a30788af292fd229c02b85e", "title" : "Marketing Specialist – Campaign Orchestration", "company" : "Transat AT", "industry" : "Airlines/Aviation", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Marketing Specialist in Montreal, Canada, adjusted for the Travel industry and company size." }, "location" : "Montreal, Quebec, Canada", "locations" : [ "Montreal", "Quebec", "Canada" ], "timestamp" : "2026-06-16T12:01:46.907", "fingerprint" : "7d2babca422740a6d255efba77bb99570dee6ff07f6c52f373e94edabf4acb7f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/TransatAT1/744000132290739-marketing-specialist-campaign-orchestration", "externalId" : "744000132290739", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montreal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montreal, Quebec, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "MS Office", "professionalSkills" : [ "Project management", "Organization", "Stakeholder coordination", "Continuous improvement" ], "hardSkillsList" : [ "Campaign management", "Integrated marketing", "Marketing operations", "Project management" ], "hardSkills" : [ { "name" : "Campaign management", "level" : "intermediate" }, { "name" : "Integrated marketing", "level" : "intermediate" }, { "name" : "Marketing operations", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" } ], "majorSkills" : "Campaign orchestration, Marketing campaign management, Cross-functional coordination", "majorSkillsList" : [ "Campaign orchestration", "Marketing campaign management", "Cross-functional coordination" ], "coreResponsibilities" : "Coordinate end-to-end marketing campaigns, Develop campaign plans, Structure campaign plans, Manage campaign plans, Manage campaign timelines, Manage campaign deliverables, Manage campaign dependencies, Coordinate campaign execution across channels, Support development of campaign briefs, Support execution of campaign briefs, Translate campaign objectives into actionable plans, Act as central point of coordination, Facilitate campaign planning meetings, Facilitate status updates, Facilitate launch reviews, Ensure full campaign readiness, Ensure compliance with processes, Ensure compliance with approvals, Ensure compliance with quality standards, Monitor campaign progress, Anticipate campaign risks, Manage campaign issues, Escalate campaign issues, Maintain integrated campaign calendar, Ensure visibility across organization, Ensure prioritization across organization, Identify resource conflicts, Identify timing challenges, Identify capacity constraints, Establish campaign processes, Maintain campaign processes, Establish campaign tools, Maintain campaign tools, Establish campaign checklists, Maintain campaign checklists, Establish campaign governance practices, Maintain campaign governance practices, Coordinate post-campaign reviews, Capture campaign learnings, Support continuous improvement", "teamCollaboration" : "External agencies; Cross-functional teams; Marketing teams; Revenue Management teams; Commercial teams; CRM teams; Web teams; Creative teams; Product teams; Contact Center teams; Legal teams", "projectManagementSkills" : [ "Project management", "Organization", "Stakeholder coordination", "Timeline management", "Deliverable management", "Dependency management" ], "domainKnowledge" : "Airline industry; Travel industry", "domainList" : [ "airline-industry", "travel-industry" ], "domainSpecificKnowledge" : [ "Airline industry", "Travel industry" ], "toolProficiency" : [ "MS Office", "Teams", "Copilot" ], "communicationSkills" : "Meeting facilitation", "problemSolvingSkills" : "Risk management; Issue management", "qualificationsBasic" : "3+ years experience in campaign management, 3+ years experience in integrated marketing, 3+ years experience in marketing operations, 3+ years experience in project management, Experience coordinating complex, multichannel marketing campaigns, Proficiency in MS Office, Demonstrated ease with collaborative digital tools, Demonstrated ease with AI tools, Fluency in spoken and written French, Fluency in spoken and written English", "qualificationsPreferred" : "Experience with Copilot", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "e part of the journey! Our mission is to be the preferred airline of our customers and our team. Open-mindedness, concern for others, intelligence at work and, above all, a healthy dose of fun enable us to achieve great things every day. Our dedication has earned us the title of the world's best leisure airline multiple times, and we’re just getting started. Want to join us? You will have the chance to enjoy exclusive travel privileges to explore the world and create unforgettable memories. You will also have the opportunity to work in a modern, inspiring environment. * Coordinate end-to-end marketing campaigns for Air Transat and Transat Tours Canada, from planning through launch * Develop, structure, and manage campaign plans, timelines, deliverables, and dependencies * Coordinate campaign execution across paid, owned, website, mobile app, and partner channels * Support the development and execution of clear, high-quality campaign briefs and translate campaign objectives into actionable plans * Act as the central point of coordination between Marketing, Revenue Management, Commercial, CRM, Web, Creative, Product, Contact Center, Legal teams, and external agencies * Facilitate campaign planning meetings, status updates, and launch reviews. * Ensure full campaign readiness before launch (content, offers, CRM, website, contact center, etc.) and compliance with processes, approvals, and quality standards * Monitor campaign progress, anticipate risks, manage issues, and escalate when necessary * Maintain an integrated campaign calendar and ensure visibility and prioritization across the organization * Identify resource conflicts, timing challenges, and capacity constraints in collaboration with teams * Establish and maintain campaign processes, tools, checklists, and governance practices * Coordinate post-campaign reviews, capture learnings, and support continuous improvement ## Qualifications * Bachelor’s degree in marketing, communications, business administration, project management, or a related field * Minimum of 3 years of experience in campaign management, integrated marketing, marketing operations, or project management in a multidisciplinary environment * Experience coordinating complex, multichannel marketing campaigns * Strong project management, organization, and stakeholder coordination skills * Ability to manage multiple priorities simultaneously with structure and attention to detail * Excellent communication, collaboration, and meeting facilitation skills * Experience working with external agencies and cross-functional teams, with a strong focus on continuous improvement * Strong proficiency in MS Office (Word, Excel, Outlook, Teams) and demonstrated ease with collaborative digital tools and AI (e.g., Copilot) * Ability to quickly learn and adapt to new technologies Fluency in spoken and written French and English *A strong command of French is required for positions in Quebec. The individual will need to communicate frequently in English, both verbally and in writing, with colleagues, clients, and other stakeholders in Quebec and internationally. ## Additional Information Artificial intelligence tools are used to analyze applications, whether to sort or preselect profiles based on criteria related to job requirements. All applications are then reviewed by our recruitment team to ensure a fair and inclusive process. Employment Equity At Transat, we foster an environment where inclusiveness, respect and equity reign. We endeavour to build a workforce that reflects the diversity of our customers as well as the communities to which we travel. We encourage women, members of visible minorities, ethnic minorities, aboriginal peoples as well as people with disabilities to submit their candidacy. Transat will accommodate people with disabilities throughout the recruitment and selection process. If you require an accommodation, please contact us in order to work together in meeting adequately your needs.", "summaryDescription" : "Marketing Specialist – Campaign Orchestration at Transat AT. Skills: Campaign orchestration, Marketing campaign management, Cross-functional coordination. Coordinate end-to-end marketing campaigns. Develop campaign plans", "postedDate" : "2026-06-15T22:01:56.000", "createdAt" : "2026-06-16T01:43:21.231", "lastUpdated" : "2026-06-16T12:01:46.907", "ingestTimestamp" : "2026-06-16T01:43:21.231", "mongoId" : "6a30788af292fd229c02b85e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Campaign management", "Integrated marketing", "Marketing operations", "Project management", "Campaign orchestration", "Marketing campaign management", "Cross-functional coordination", "Organization", "Stakeholder coordination", "Continuous improvement", "Timeline management", "Deliverable management", "Dependency management", "Airline industry", "Travel industry", "MS Office", "Teams", "Copilot" ], "skillCount" : 18, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 621.0595, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Travel", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6acc74d8ee00a090e0d4", "title" : "Senior Software Engineer, AI Job Orchestration", "company" : "Firmus Technologies", "industry" : "Technology", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Software Engineer in Sydney, Australia, adjusted for the technology industry and company size." }, "location" : "Sydney, New South Wales, Australia", "locations" : [ "Sydney", "New South Wales", "Australia" ], "timestamp" : "2026-06-16T00:23:23.933", "fingerprint" : "41bee3614cabbfc53cd7e8f5d1249a4ff83bb3916e211666bfb1a0a360ce75ce", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/firmus/jobs/5157063008", "externalId" : "5157063008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Kubernetes, Slurm, RESTful APIs, GRPC APIs", "professionalSkills" : [ "Systems architecture", "API design", "Multi-tenancy design" ], "hardSkillsList" : [ "Job orchestration", "Resource allocation", "Scheduling policies", "Cost tracking", "Telemetry APIs" ], "hardSkills" : [ { "name" : "Job orchestration", "level" : "intermediate" }, { "name" : "Resource allocation", "level" : "intermediate" }, { "name" : "Scheduling policies", "level" : "intermediate" }, { "name" : "Cost tracking", "level" : "intermediate" }, { "name" : "Telemetry APIs", "level" : "intermediate" } ], "majorSkills" : "AI Job Orchestration, Kubernetes, Slurm", "majorSkillsList" : [ "AI Job Orchestration", "Kubernetes", "Slurm" ], "coreResponsibilities" : "Design unified job submission APIs, Build unified job submission CLI, Build unified job submission web UI, Implement RBAC, Implement multi-tenant isolation, Implement intelligent scheduling policies, Create template catalog, Wire observability pipelines, Expose telemetry APIs, Integrate authentication/authorization, Enforce multi-tenant isolation, Build AI job scheduling layer, Build AI Factory template catalog, Inject labels/annotations, Expose job-level telemetry APIs, Extend job submission for inference, Design inference job specifications, Integrate with inference serving APIs, Coordinate with platform team, Coordinate with LLM engineers, Coordinate with ModelOps", "teamCollaboration" : "Infra teams; Platform teams; LLM engineering teams; ModelOps teams", "domainKnowledge" : "AI infrastructure; AI Factories; Model-to-grid technology; Liquid cooling systems; Energy management; AI software orchestration; GPU metrics; Cost accrual; MFU progression; Tokenomics; Inference serving; Cloud-native architecture", "domainList" : [ "ai-infrastructure", "ai-factories", "model-to-grid-technology", "liquid-cooling-systems", "energy-management", "ai-software-orchestration", "gpu-metrics", "cost-accrual", "mfu-progression", "tokenomics", "inference-serving", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "AI infrastructure", "AI Factories", "Model-to-grid technology", "Liquid cooling systems", "Energy management", "AI software orchestration", "GPU metrics", "Cost accrual", "MFU progression", "Tokenomics", "Inference serving", "Cloud-native architecture" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Unified orchestration adoption increases; Scheduling effectiveness & fairness improves; Orchestration reliability stays high; End-to-end workflow automation increases; Interface stability & compatibility remains strong", "qualificationsBasic" : "Deep Kubernetes expertise, Deep Slurm expertise, Distributed systems knowledge, 5+ years experience", "qualificationsPreferred" : "Kubernetes experience a plus, Slurm experience a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Firmus Technologies Firmus Technologies is a global leader pioneering the development and operation of efficient AI infrastructure across Asia Pacific. Founded in Australia in 2019, our mission is to create the most efficient AI infrastructure by combining cutting-edge technology with a steadfast commitment to sustainability. At Firmus, we are unique in our approach. We design, build, and operate a new class of digital infrastructure – the AI Factory. Through our model-to-grid technology approach, we have pushed the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction. For our customers, this approach allows us to make every watt count and deliver low-cost AI tokens globally. Firmus AI Cloud Our large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale to customers. It empowers developers, enterprises, educational institutions, and government users to train and deploy AI models with unmatched efficiency and cost savings. With an ever-growing suite of services and applications, we are committed to delivering a cloud experience that is market-leading, proprietary, and built to scale. Role Summary As a Senior Software Engineer on the AI and Applications team, you'll own the control plane that powers AI workload submission across Firmus AI Platforms. You'll design and build unified job submission APIs, CLI, and web interfaces for training, inference, and fine-tuning workloads on Kubernetes and Slurm—implementing RBAC, multi-tenant isolation, resource quotas, and intelligent scheduling policies (priority classes, pre-emption, fairness). You'll create template catalog for pre-built training and inference recipes, wire observability pipelines for per-job GPU metrics cost tracking and expose telemetry APIs for platform monitoring. This role requires deep Kubernetes and Slurm expertise, strong distributed systems knowledge, and close collaboration with infra, platform, and LLM engineering teams to deliver a seamless, production-grade job orchestration experience for hyperscaler customers. Key Responsibilities Design and build unified job submission APIs, CLI, and web UI for all AI workload types (training, inference, fine-tuning) on Kubernetes and Slurm with Firmus AI Factory context (tenant isolation, resource requests, metadata tagging, observability hooks). Implement comprehensive job metadata models and schemas: track job ID, job type, tenant, user, resource requirements, priority class, timestamps, lineage, execution status. Integrate authentication/authorization (RBAC) and resource quotas; enforce multi-tenant isolation at submission time across all job types. Build AI job scheduling and orchestration layer: priority classes, preemption policies, fairness algorithms, resource quota enforcement, and intelligent job routing. Build the AI Factory template catalog: discovery, parameter validation, and manifest generation for training templates, inference serving templates, and fine-tuning recipes. Wire job submissions to observability pipeline: inject labels/annotations (job_id, tenant, user, model_name, job_type) so metrics are tagged per-job. Expose job-level telemetry APIs (GPU metrics, cost accrual, MFU progression for training; latency, throughput, tokenomics for inferencing) for platform telemetry and monitoring. Extend job submission to handle inference workloads: design inference job specifications (model, batch size, latency SLA, cost constraints); integrate with inference serving APIs. Coordinate with platform team on observability dashboard integration, with LLM engineers on template design, and with ModelOps on reliability standards. Skills understands job lifecycle, failure modes, and scheduling policies. Multi-Tenancy Design: can architect fair resource allocation, quota enforcement, pre-emption, and data isolation across job types. API Design: RESTful or gRPC APIs that are intuitive and extensible; handles versioning gracefully. Systems Architecture: understands how job submission connects to training, inferencing, observability, cost tracking, and incident response. Cross-Domain Partnership: works closely with infra team, platform team, LLM engineers; clear handoff points and API contracts. Success Metrics Unified orchestration adoption increases: teams use the standard job interface rather than bespoke/manual pathways. Scheduling effectiveness & fairness improves: predictable scheduling under contention with reduced noisy-neighbor impact. Orchestration reliability stays high: jobs reliably start, run, and complete across K8s/Slurm/inference integrations. End-to-end workflow automation increases: higher share of workflows complete without human intervention (e.g., train→register→serve). Interface stability & compatibility remains strong: the orchestration API evolves without breaking users. Location & Reporting This role can be based in either Sydney, Australia, or Singapore. Reporting to Head of AI & Applications Employment Basis Full-time Diversity At Firmus, we are committed to building a diverse and inclusive workplace. We encourage applications from candidates of all backgrounds who are passionate about creating a more sustainable future through innovative engineering solutions. Join us in our mission to revolutionize the AI industry through sustainable practices and cutting-edge engineering. Apply now to be part of shaping the future of sustainable AI infrastructure.", "summaryDescription" : "Senior Software Engineer, AI Job Orchestration at Firmus Technologies. Skills: AI Job Orchestration, Kubernetes, Slurm. Design unified job submission APIs. Build unified job submission CLI", "postedDate" : "2026-06-14T19:09:10.544", "createdAt" : "2026-06-14T19:09:10.544", "lastUpdated" : "2026-06-16T00:23:23.933", "ingestTimestamp" : "2026-06-14T19:09:10.544", "mongoId" : "6a2c6acc74d8ee00a090e0d4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Job orchestration", "Resource allocation", "Scheduling policies", "Cost tracking", "Telemetry APIs", "AI Job Orchestration", "Kubernetes", "Slurm", "Systems architecture", "API design", "Multi-tenancy design", "AI infrastructure", "AI Factories", "Model-to-grid technology", "Liquid cooling systems", "Energy management", "AI software orchestration", "GPU metrics", "Cost accrual", "MFU progression", "Tokenomics", "Inference serving", "Cloud-native architecture" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 607.4244, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8d6474d8ee00a0978ce2", "title" : "Engineering Manager (API Platform)", "company" : "Perplexity", "industry" : "API Platform", "salary" : { "min" : 300000.0, "max" : 405000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-15T03:20:09.435", "fingerprint" : "238b84487bf989a0e782545d2a66bcd6c53108951d9b7361ecd10f02795c1c08", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Perplexity/29625b7a-5470-463b-8446-21fac84e80b9/application", "externalId" : "29625b7a-5470-463b-8446-21fac84e80b9", "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" : 8, "experienceLevel" : "Manager", "technicalSkills" : "Python, Go, Rust, API design, Schema evolution, Versioning, Idempotency, Authentication patterns, Rate limiting, Performance tuning, AI APIs, Latency tuning, Streaming, Model orchestration, Technical standards", "professionalSkills" : [ "Technical leadership", "Team leadership", "Product strategy", "Technical strategy", "Business goals" ], "hardSkillsList" : [ "API design", "Performance tuning", "AI evaluation", "Interview pipelines" ], "softSkillsList" : [ "Leadership", "Mentorship" ], "hardSkills" : [ { "name" : "API design", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "AI evaluation", "level" : "intermediate" }, { "name" : "Interview pipelines", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentorship" } ], "majorSkills" : "API Platform, Distributed systems, Agent orchestration", "majorSkillsList" : [ "API Platform", "Distributed systems", "Agent orchestration" ], "coreResponsibilities" : "Provide technical leadership, Provide team leadership, Design mission-critical APIs, Build mission-critical APIs, Operate mission-critical APIs, Reimagine customer needs, Serve customer workloads, Drive product reliability, Drive code quality, Drive AI evaluation, Drive testing, Drive maintenance, Oversee hiring, Oversee onboarding, Oversee mentorship, Develop rigorous interview, Work closely with recruiting, Source candidates, Collaborate across teams, Incorporate novel capabilities, Improve existing capabilities, Track progress, Ensure progress", "teamCollaboration" : "Cross-functional teams; Engineering executives; Business executives", "projectManagementSkills" : [ "Prioritization decisions" ], "domainKnowledge" : "AI infrastructure; Search; Orchestration; Knowledge indexes; Agent runtimes; AI systems; Retrieval; Long-horizon orchestration; Frontier AI; Frontier intelligence; Distributed systems; Agent orchestration", "domainList" : [ "ai-infrastructure", "search", "orchestration", "knowledge-indexes", "agent-runtimes", "ai-systems", "retrieval", "long-horizon-orchestration", "frontier-ai", "frontier-intelligence", "distributed-systems", "agent-orchestration" ], "domainSpecificKnowledge" : [ "AI infrastructure", "Search", "Orchestration", "Knowledge indexes", "Agent runtimes", "AI systems", "Retrieval", "Long-horizon orchestration", "Frontier AI", "Frontier intelligence", "Distributed systems", "Agent orchestration" ], "communicationSkills" : "Technical strategy", "innovationCreativity" : "Innovates at frontier; Novel frontier capabilities", "problemSolvingSkills" : "Sound tradeoffs; Prioritization decisions", "outcomesObjectives" : "Scale to meet growth", "qualificationsBasic" : "8+ years engineering experience, 3+ years engineering manager, Proficiency in Python, High-traffic API design, Customer empathy, Product sense, Organizational skills, Manage parallel technical, Guide opinionated teams, Sound tradeoffs prioritization", "qualificationsPreferred" : "Go proficiency, Rust proficiency, Modern AI APIs experience, Latency tuning experience, Streaming experience, Model orchestration experience, Emerging technical standards experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "PERPLEXITY API PLATFORM Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds. ABOUT THIS ROLE Perplexity is seeking a strong technical leader to steer the API Platform engineering team through a rapid period of growth. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces. You and your team will work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.). This role is ideal for seasoned engineering managers who are unusually passionate about providing the world with programmatic access to the building blocks of frontier intelligence. KEY RESPONSIBILITIES - Provide both technical and team leadership across multiple layers of our rapidly growing API business. - Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence. - Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today. - Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team. - Oversee hiring, onboarding, and mentorship for a rapidly growing team; develop rigorous interview pipelines and work closely with recruiting to source candidates. - Collaborate across teams to incorporate novel frontier capabilities into the API Platform and improve existing capabilities for API customer needs. - Track and ensure progress toward top-line business goals, in close coordination with engineering and business executives. QUALIFICATIONS - Entrepreneurial attitude; able and eager to run more than just engineering. - Proficiency in Python (bonus points for Go and/or Rust). - Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning. - Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards) is a strong plus. - Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike. - Strong organizational skills for managing and delivering parallel technical projects; ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical. - Experience managing engineering teams, including recruiting, growing, and retaining high-caliber talent. - 8+ years of engineering experience, with at least 3 of those years as an engineering manager.", "summaryDescription" : "Engineering Manager (API Platform) at Perplexity. Skills: API Platform, Distributed systems, Agent orchestration. Provide technical leadership. Provide team leadership", "createdAt" : "2026-06-13T21:25:36.762", "lastUpdated" : "2026-06-15T03:20:09.435", "ingestTimestamp" : "2026-06-13T21:25:36.762", "mongoId" : "6a2c8d6474d8ee00a0978ce2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 300000, "salaryAnnualMax" : 405000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "API design", "Performance tuning", "AI evaluation", "Interview pipelines", "Leadership", "Mentorship", "API Platform", "Distributed systems", "Agent orchestration", "Technical leadership", "Team leadership", "Product strategy", "Technical strategy", "Business goals", "Prioritization decisions", "AI infrastructure", "Search", "Orchestration", "Knowledge indexes", "Agent runtimes", "AI systems", "Retrieval", "Long-horizon orchestration", "Frontier AI", "Frontier intelligence" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 604.1318, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69dde4492beec4dd3d9a3306", "title" : "Safety Rest Area Project Manager and Inspector - Maintenance Division", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 61184.0, "max" : 99658.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Austin-Stassney Hq - Main", "locations" : [ "UST-Texas-Austin-Stassney Hq - Main", "Yearly", "Exempt,
Stassney Hq - Main (SHQMAIN)
6230 East Stassney Lane
Austin, 78744

, Stassney Hq - Main" ], "timestamp" : "2026-06-15T06:42:48.447", "fingerprint" : "4433a1e65a517431edff5bf58ad43dbcf06bd4497c81527e345f6b26168f1e25", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43713", "externalId" : "43713", "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", "experienceLevel" : "Manager", "professionalSkills" : [ "Project management", "Inspection" ], "majorSkills" : "Project management, Inspection", "majorSkillsList" : [ "Project management", "Inspection" ], "coreResponsibilities" : "Oversee contracts, Inspect contracts", "domainKnowledge" : "Safety Rest Areas; Maintenance Division", "domainList" : [ "safety-rest-areas", "maintenance-division" ], "domainSpecificKnowledge" : [ "Safety Rest Areas", "Maintenance Division" ], "specialRequirements" : "Travel Texas", "outcomesObjectives" : "Keep SRAs best in country", "qualificationsBasic" : "Performance based contracts, Operations and maintenance contracts", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Come be a part of the best Safety Rest Area (SRA) program in the country. The Maintenance (MNT) Division is looking for a project manager and inspector to oversee the performance based operations and maintenance contracts. TxDOT's Safety Rest Areas are safe and beautiful and are a much needed stopping point for travelers throughout Texas. MNT is looking for someone who will share in our pride for our SRA's and work towards keeping them the best in the country. Come and get to see many parts of Texas as you travel and perform your work. 61,184.00 99,658.00", "summaryDescription" : "Safety Rest Area Project Manager and Inspector - Maintenance Division at TxDOT. Skills: Project management, Inspection. Oversee contracts. Inspect contracts", "createdAt" : "2026-06-14T09:40:41.580", "lastUpdated" : "2026-06-15T06:42:48.447", "ingestTimestamp" : "2026-06-14T09:40:41.580", "mongoId" : "69dde4492beec4dd3d9a3306", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 61184, "salaryAnnualMax" : 99658, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Project management", "Inspection", "Safety Rest Areas", "Maintenance Division" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 586.2408, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2cafbf74d8ee00a09d7b11", "title" : "Forward Deployed Engineer - USA (Denver)", "company" : "Neara", "industry" : "Customer Success", "salary" : { "min" : 130000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Denver", "locations" : [ "Denver" ], "timestamp" : "2026-06-16T04:56:38.205", "fingerprint" : "b57612b78093a5279471918dceeaa9fa8db7c2507a704d89d538b8c9537d0867", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/neara/09aa69c3-7015-43dc-8fc0-edcab5f4345d/application", "externalId" : "09aa69c3-7015-43dc-8fc0-edcab5f4345d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Typescript, Javascript, Java, Node, Npm, RESTful APIs, OpenAPI Specification", "professionalSkills" : [ "Technical consulting", "Software development", "Solution architecture", "Data analysis", "Technical design", "Implementation strategies" ], "hardSkillsList" : [ "Declarative scripting", "Data manipulation", "Network modeling", "User interface design", "Data synchronization", "Technical training", "Workshop facilitation" ], "hardSkills" : [ { "name" : "Declarative scripting", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Network modeling", "level" : "intermediate" }, { "name" : "User interface design", "level" : "intermediate" }, { "name" : "Data synchronization", "level" : "intermediate" }, { "name" : "Technical training", "level" : "intermediate" }, { "name" : "Workshop facilitation", "level" : "intermediate" } ], "majorSkills" : "Platform APIs, Custom solutions, Technical consulting", "majorSkillsList" : [ "Platform APIs", "Custom solutions", "Technical consulting" ], "coreResponsibilities" : "Use Neara SDK and platform APIs, Develop custom solutions, Build custom high-impact features, Write code in Typescript/Javascript, Automate project changes, Integrate real-time third-party data, Manipulate network model, Develop custom visualizations, Develop custom calculations, Develop advanced data analysis features, Create tailored user interface elements, Simplify and automate complex workflows, Build robust integrations, Synchronize project data with external systems, Serve as trusted technical advisor, Translate business needs into technical designs, Develop implementation strategies, Lead hands-on training and workshops, Focus on Neara SDK and API, Ensure customer solution maintenance and evolution, Identify emerging customer needs, Identify strategic opportunities for custom development, Fuel account growth, Lead configuration efforts, Lead reporting efforts, Lead data integration efforts, Align Neara platform with customer environment, Align Neara platform with strategic priorities", "teamCollaboration" : "Customer engineers; Business stakeholders; Adjacent teams", "domainKnowledge" : "Electricity grids; Physics enabled digital twins; Extreme weather simulation; Structural stress simulation; Network-wide scale simulation; Utility infrastructure; Energy future resilience", "domainList" : [ "electricity-grids", "physics-enabled-digital-twins", "extreme-weather-simulation", "structural-stress-simulation", "network-wide-scale-simulation", "utility-infrastructure", "energy-future-resilience" ], "domainSpecificKnowledge" : [ "Electricity grids", "Physics enabled digital twins", "Extreme weather simulation", "Structural stress simulation", "Network-wide scale simulation", "Utility infrastructure", "Energy future resilience" ], "toolProficiency" : [ "Git", "Node", "Npm", "Terminal", "Command line" ], "communicationSkills" : "Communicate complex technical concepts", "problemSolvingSkills" : "Proactive problem-solver", "outcomesObjectives" : "Unlock new capabilities; Automate complex workflows; Drive maximum business value", "qualificationsBasic" : "Software Engineer or Forward-Deployed Engineer experience, Enterprise-level custom technical solutions experience, TypeScript, JavaScript, Java experience, Modern development tools experience, Git, Node, npm, terminal/command line proficiency, Proprietary SDKs and RESTful APIs understanding, Data analysis, integration, and tailored tools building experience", "qualificationsPreferred" : "Customer direct experience or consulting capacity experience", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara. We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure. By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future. Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe. We are seeking a Forward Deployed Engineer to be the technical expert for our most strategic enterprise customers. This role is a critical blend of technical consulting and hands-on software development. You will be embedded with our customers, designing and building custom, high-impact solutions on and integrated with the Neara platform to unlock new capabilities, automate complex workflows, and drive maximum business value. You will be the primary technical architect responsible for the creation of tailored customer solutions, working directly with customer engineers and business stakeholders. You are a developer and consultant rolled into one: a proactive problem-solver with a knack for communicating complex technical concepts to diverse audiences. What You Will Do: - Actively use the Neara SDK and our platform's APIs to develop custom solutions that extend the platform's functionality. This includes: - Building custom, high-impact features using the Neara SDK, which will involve writing code in Typescript/Javascript and our platform's declarative scripting language to automate project changes, integrate real-time third-party data, and manipulate the network model. - Developing custom visualizations, calculations, and advanced data analysis features. - Creating tailored user interface elements to simplify and automate complex user workflows. - Building robust integrations using our platform's APIs to synchronize project data with external enterprise systems. - Serve as the trusted deep technical advisor to customers, translating complex business needs into clear, actionable technical designs and implementation strategies. - Lead targeted, hands-on training and workshops focused on the Neara SDK, API, and best practices for custom solution development, ensuring customers can maintain and evolve the solutions you build. - Work closely with adjacent teams to identify emerging customer needs and strategic opportunities for leveraging custom development to fuel account growth. - Lead configuration, reporting, and data integration efforts to ensure the Neara platform is meticulously aligned with the customer's technical environment and strategic priorities. Who You Are: - Experience as a Software Engineer or Forward-Deployed Engineer building and delivering custom technical solutions at the enterprise level. Experience working with customers directly or in a consulting capacity is ideal. - Strong experience in TypeScript, JavaScript, Java, and Python; proficient with modern development tools including Git, Node, npm, and the terminal/command line. - Proven ability to rapidly understand and utilize proprietary SDKs and RESTful APIs (following the OpenAPI Specification) to build robust, integrated solutions. - Skilled in data analysis, integration, and building tailored tools (e.g., macros, data pipelines) to deliver maximum customer value. - Exceptional ability to communicate complex technical topics clearly to both engineers and executives, driving consensus and empowering customers. What we offer: - A highly competitive compensation package, including a significant equity component, ensuring you directly benefit from the company's success and your impact on critical infrastructure. - The rare opportunity to work on a cutting-edge, 3D physics-enabled platform that is preventing disasters and shaping the future of resilient infrastructure. - This role is a direct path to becoming a highly sought-after technical leader, bridging software engineering, deep technical consulting, and solution architecture for enterprise customers. - You won't just use our platform; you'll shape its evolution by feeding real-world enterprise needs directly back into the product roadmap. - Enjoy flexible hours and working arrangements designed to help you do your best work from where you work best. Neara values diversity, belonging and equal employment opportunities. We encourage individuals from all backgrounds to apply. #LI-NT1", "summaryDescription" : "Forward Deployed Engineer - USA (Denver) at Neara. Skills: Platform APIs, Custom solutions, Technical consulting. Use Neara SDK and platform APIs. Develop custom solutions", "createdAt" : "2026-06-14T21:50:20.421", "lastUpdated" : "2026-06-16T04:56:38.205", "ingestTimestamp" : "2026-06-14T21:50:20.421", "mongoId" : "6a2cafbf74d8ee00a09d7b11", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 200000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Declarative scripting", "Data manipulation", "Network modeling", "User interface design", "Data synchronization", "Technical training", "Workshop facilitation", "Platform APIs", "Custom solutions", "Technical consulting", "Software development", "Solution architecture", "Data analysis", "Technical design", "Implementation strategies", "Electricity grids", "Physics enabled digital twins", "Extreme weather simulation", "Structural stress simulation", "Network-wide scale simulation", "Utility infrastructure", "Energy future resilience", "Git", "Node", "Npm", "Terminal", "Command line" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 585.6466, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cc2cd74d8ee00a0a0778f", "title" : "Tech Lead Engineer (Orchestration)", "company" : "Solidgate", "industry" : "Engineering & Data", "salary" : { "min" : 1800000.0, "max" : 2800000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Tech Engineer in FinTech in Ukraine, adjusted for seniority and company size." }, "location" : "Ukraine", "locations" : [ "Ukraine" ], "timestamp" : "2026-06-16T03:39:13.691", "fingerprint" : "9703c833303f226c48411a7b2fdb66d7233985bd11811e88475e871514684a05", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/solidgate/b7a7d5f7-e310-434f-b337-06631476aaa4/application", "externalId" : "b7a7d5f7-e310-434f-b337-06631476aaa4", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Ukraine", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Ukraine", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "PostgreSQL, Kafka, RabbitMQ, Java, Kotlin, TypeScript, Go, AWS SQS, Buf, Protobuf, Node.js", "professionalSkills" : [ "System design", "Technical leadership", "People management", "Process setup", "Work prioritization", "Constructive feedback", "Architectural decisions", "Technical direction" ], "hardSkillsList" : [ "Distributed systems design", "High-load system design" ], "softSkillsList" : [ "Ownership-driven mindset", "Explain complex ideas" ], "hardSkills" : [ { "name" : "Distributed systems design", "level" : "intermediate" }, { "name" : "High-load system design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership-driven mindset" }, { "name" : "Explain complex ideas" } ], "majorSkills" : "Payments orchestration, Distributed systems, Technical leadership", "majorSkillsList" : [ "Payments orchestration", "Distributed systems", "Technical leadership" ], "coreResponsibilities" : "Lead team technically, Lead team as people manager, Mentor engineers, Set up processes, Prioritize work, Give constructive feedback, Design key services, Build new functionality, Support existing services, Improve existing services, Make architectural decisions, Set technical direction, Balance routing migration, Ship new features, Reduce tech debt, Spend time coding", "teamCollaboration" : "Cross-functional teams; Agile teams; Product Manager; AQA Engineer", "projectManagementSkills" : [ "Prioritization", "Roadmap planning" ], "domainKnowledge" : "Payments orchestration; Distributed systems; High-load systems; Fintech", "domainList" : [ "payments-orchestration", "distributed-systems", "high-load-systems", "fintech" ], "domainSpecificKnowledge" : [ "Payments orchestration", "Distributed systems", "High-load systems", "Fintech" ], "toolProficiency" : [ "Buf", "Protobuf" ], "communicationSkills" : "Explain complex ideas", "continuousLearning" : "Courses; Conferences", "innovationCreativity" : "AI-driven options", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Become #1 payments orchestration platform", "qualificationsBasic" : "6+ years of backend engineering experience, Experience with distributed systems, Solid experience with PostgreSQL, Experience with message brokers, Backend skills in a statically typed language, Understanding of high-load system design, People-management experience", "qualificationsPreferred" : "Go experience, AWS SQS experience, Buf experience, Protobuf experience, Node.js experience, Experience designing high-load systems, Fintech experience, Payments experience, No-code automation experience, Low-code automation experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "OUR MISSION AND VISION At Solidgate, our mission is clear: to empower outstanding entrepreneurs to build exceptional internet companies. We exist to fuel the builders — the ones shaping the digital economy — with the financial infrastructure they deserve. To achieve that, we're on a bold path: to become the #1 payments orchestration platform in the world. We believe the future of payments is shaped by people who think big, take ownership, and bring curiosity and drive to everything they do. That's exactly the kind of teammates we want on board. Solidgate is part of Endeavor — a global community of the world's most impactful entrepreneurs. We're proud to be the first payment orchestrator from Europe to join — and to share our expertise within a network of outstanding global companies. ABOUT THE TEAM AND ROLE You'll join the Orchestration team and take ownership of the Payment Router — one of the core components of our platform. It lets merchants and operations specialists flexibly configure routing and processing rules, so they integrate with us once instead of connecting to a dozen different providers, and get the best conversion thanks to our business logic. This is a high-load, technologically complex product with strict requirements for correctness, reliability, high availability, and low latency. We're currently exploring AI-driven options to simplify configuration for our merchants — so there's plenty of interesting work ahead. This is a leadership role, and we want to be upfront about the path to it. Because of the depth of the domain and our experience onboarding leads, the first 6–9 months are focused on working as a Senior Engineer — getting deep into the product, the architecture, and the team — before stepping into the Tech Lead role in full. You'll be mentored and onboarded directly by the team's manager throughout this transition. Your team — 4 Go Engineers, 2 Frontend Engineers, Product Manager, AQA Engineer. Explore our technology stack ➡️ here https://solidgate-tech.github.io/. WHAT YOU'LL OWN Your focus will be on: - leading the team technically and as a people manager — mentoring engineers, setting up processes, prioritizing work, and giving constructive feedback - designing key services of our distributed system - building new functionality and supporting and improving existing services - making architectural decisions and setting technical direction - balancing priorities between completing our routing migration (V1 → V2), shipping new features, and steadily reducing tech debt This is a hands-on leadership role: expect to spend roughly 50–60% of your time coding. We don't have \"pure managers\" here — leads stay close to the product through code. We rely on automated testing over manual QA, with a modern CI/CD pipeline, test coverage, and Blue-Green Deployment. We deploy several times a day and ship merchant-facing features within each quarter. YOU'RE A GREAT FIT IF YOU HAVE - 6+ years of backend engineering experience - Strong experience with distributed systems - Solid experience with PostgreSQL - Experience with message brokers (Kafka / RabbitMQ) - Strong backend skills in a statically typed language (Java/Kotlin/TypeScript/etc.) - Understanding of high-load system design - People-management experience (~1.5–2 years ideal; we'll also consider a strong Senior ready to grow into the lead role, with a longer ramp-up period) - A proactive, ownership-driven mindset and the ability to explain complex ideas in simple terms At this stage we value leadership qualities slightly above pure engineering depth: the team already has strong engineers, and what they need is someone who can lead them, set priorities, and keep the high-level picture in focus. NICE TO HAVE - Go, AWS SQS, Buf, Protobuf, Node.js - Experience designing and building high-load systems - Fintech / payments experience - Experience with no-code / low-code automation WHY SOLIDGATE? High-impact role. You'll lead a team that sits right at the center of our platform's evolution — owning a critical component and shaping its direction. Great product. We've built a fintech powerhouse that scales fast. Solidgate isn't just an orchestration player — it's the financial infrastructure for modern Internet businesses. From subscriptions to chargeback management, fraud prevention, and indirect tax — we've got it covered. We hold financial licenses in key regions and are a direct Visa & Mastercard partner and sub-reseller (top 5 globally). Massive growth opportunity. Solidgate is scaling rapidly — this role will be a career-defining move. Top-tier tech team. Work alongside our driving force — a proven, results-driven engineering team that delivers. Modern engineering culture. TBDs, code reviews, solid testing practices, metrics, alerts, and fully automated CI/CD. \uD83D\uDC8C The Extras: 30+ days off, unlimited sick leave, free office meals, health coverage, and Apple gear to keep you productive. Courses, conferences, sports and wellness benefits — all designed for ideas, focus, and fun. Tomorrow's fintech needs your mindset. Come build it with us. \uD83E\uDEC2 Know top talent? We're always on the lookout. Refer someone for our role, and if they get hired, there's a bonus waiting for you — simple as that.", "summaryDescription" : "Tech Lead Engineer (Orchestration) at Solidgate. Skills: Payments orchestration, Distributed systems, Technical leadership. Lead team technically. Lead team as people manager", "createdAt" : "2026-06-14T18:50:31.429", "lastUpdated" : "2026-06-16T03:39:13.691", "ingestTimestamp" : "2026-06-14T18:50:31.429", "mongoId" : "6a2cc2cd74d8ee00a0a0778f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Distributed systems design", "High-load system design", "Ownership-driven mindset", "Explain complex ideas", "Payments orchestration", "Distributed systems", "Technical leadership", "System design", "People management", "Process setup", "Work prioritization", "Constructive feedback", "Architectural decisions", "Technical direction", "Prioritization", "Roadmap planning", "High-load systems", "Fintech", "Buf", "Protobuf" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 584.2666, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30788af292fd229c02b85d", "title" : "Spécialiste Marketing - orchestration de campagnes", "company" : "Transat AT", "industry" : "Airlines/Aviation", "salary" : { "min" : 70000.0, "max" : 95000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Marketing Specialist in Montreal, Canada, adjusted for the Travel industry and company size." }, "location" : "Montreal, Quebec, Canada", "locations" : [ "Montreal", "Quebec", "Canada" ], "timestamp" : "2026-06-16T10:15:24.326", "fingerprint" : "724d42ba268efd689cd7e1cda64665c510e144a5ca2e30f9ed77900a89d0f1bf", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/TransatAT1/744000132289392-specialiste-marketing-orchestration-de-campagnes", "externalId" : "744000132289392", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montreal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montreal, Quebec, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Baccalauréat", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "MS Office, AI", "professionalSkills" : [ "Project management", "Organization", "Coordination", "Continuous improvement" ], "hardSkillsList" : [ "Campaign management", "Integrated marketing", "Marketing operations", "Multichannel campaigns", "Project management", "Cross-functional coordination" ], "hardSkills" : [ { "name" : "Campaign management", "level" : "intermediate" }, { "name" : "Integrated marketing", "level" : "intermediate" }, { "name" : "Marketing operations", "level" : "intermediate" }, { "name" : "Multichannel campaigns", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" }, { "name" : "Cross-functional coordination", "level" : "intermediate" } ], "majorSkills" : "Campaign orchestration, Marketing campaigns, Project management", "majorSkillsList" : [ "Campaign orchestration", "Marketing campaigns", "Project management" ], "coreResponsibilities" : "Ensure end-to-end coordination of marketing campaigns, Develop, structure, and manage campaign plans, Manage campaign timelines, Manage campaign deliverables, Manage campaign dependencies, Coordinate campaign execution across channels, Translate campaign objectives into action plans, Contribute to clarity and quality of briefs, Act as central coordination point, Coordinate between Marketing, Revenue Management, Commercial, CRM, Web,, Lead planning meetings, Lead follow-up meetings, Lead launch meetings, Ensure stakeholder alignment, Ensure complete campaign preparation before launch, Ensure adherence to processes, Ensure adherence to validations, Ensure adherence to quality criteria, Track campaign progress, Anticipate risks, Manage issues, Escalate as needed, Maintain integrated campaign calendar, Ensure visibility of organizational priorities, Ensure management of organizational priorities, Identify resource conflicts, Identify timing issues, Identify capacity constraints, Implement campaign governance processes, Maintain campaign governance processes, Maintain campaign checklists, Maintain campaign practices, Coordinate post-campaign reviews, Gather learnings, Contribute to continuous improvement", "teamCollaboration" : "External agencies; Multidisciplinary teams; Marketing teams; Revenue Management teams; Commercial teams; CRM teams; Web teams; Creative teams; Product teams; Contact Centre teams; Legal teams", "projectManagementSkills" : [ "Project management", "Coordination", "Planning", "Timelines", "Deliverables", "Dependencies" ], "domainKnowledge" : "Tourism marketing; Sustainable tourism", "domainList" : [ "tourism-marketing", "sustainable-tourism" ], "domainSpecificKnowledge" : [ "Tourism marketing", "Sustainable tourism" ], "toolProficiency" : [ "MS Office", "Teams", "Copilot" ], "communicationSkills" : "Meeting facilitation; Stakeholder alignment", "continuousLearning" : "Continuous improvement", "problemSolvingSkills" : "Risk anticipation; Issue management; Conflict identification", "qualificationsBasic" : "Minimum 3 years experience, Experience in campaign management, Experience in integrated marketing, Experience in marketing operations, Experience in project management, Experience in multidisciplinary environment, Experience in complex multichannel campaigns, Experience with external agencies, Experience with multidisciplinary teams, Proficiency in MS Office, Proficiency in digital collaborative tools, Proficiency in AI tools, Ability to learn quickly, Ability to adapt to new technologies, Oral and written French proficiency, Oral and written English proficiency", "qualificationsPreferred" : "AI tools (e.g. Copilot)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Faites partie du voyage! Notre mission, c’est d’être la compagnie aérienne préférée de notre clientèle et de notre équipe. L’ouverture d’esprit, le souci des autres, l’intelligence au travail et surtout une bonne dose de plaisir nous permettent chaque jour d’accomplir de grandes choses, comme devenir le premier voyagiste international à obtenir la certification Travelife pour notre engagement envers le tourisme durable. Nous avons aussi remporté plusieurs fois le titre de meilleure compagnie aérienne de loisirs au monde. Et ce n’est que le début. Envie de vous joindre à nous? Dès l’embauche, vous profiterez de privilèges voyage pour découvrir le monde. Vous aurez aussi l’occasion d’œuvrer dans des environnements de travail modernes et inspirants. * Assurer la coordination de bout en bout des campagnes marketing pour Air Transat et Transat Tours Canada, de la planification au lancement * Élaborer, structurer et gérer les plans de campagne, échéanciers, livrables et dépendances * Coordonner l’exécution des campagnes sur les canaux payants, propriétaires, CRM, site web, application et partenaires * Traduire les objectifs de campagne en plans d’action concrets et contribuer à la clarté et à la qualité des briefs * Agir comme point central de coordination entre les équipes Marketing, Gestion des revenus, Commercial, CRM, Web, Création, Produit, Centre de contact, Juridique et les agences externes * Animer les rencontres de planification, de suivi et de lancement et assurer l’alignement des parties prenantes * Assurer la préparation complète des campagnes avant lancement (contenu, offres, CRM, site, centre de contact, etc.) et veiller au respect des processus, validations et critères de qualité * Suivre l’avancement des campagnes, anticiper les risques, gérer les enjeux et escalader au besoin * Maintenir un calendrier intégré des campagnes et assurer la visibilité et la gestion des priorités organisationnelles * Identifier les conflits de ressources, les enjeux de timing et les contraintes de capacité, en collaboration avec les équipes * Mettre en place et maintenir les processus, outils, listes de vérification et pratiques de gouvernance de campagnes * Coordonner les bilans post-campagnes, recueillir les apprentissages et contribuer à l’amélioration continue ## Qualifications * Baccalauréat en marketing, communications, administration des affaires, gestion de projet ou domaine connexe * Minimum de 3 ans d’expérience en gestion de campagnes, marketing intégré, opérations marketing ou gestion de projet, dans un environnement multidisciplinaire * Expérience en coordination de campagnes marketing multicanales complexes * Excellentes compétences en gestion de projet, organisation et coordination de multiples parties prenantes * Capacité démontrée à gérer plusieurs priorités simultanées avec rigueur et structure * Excellentes aptitudes en communication, collaboration et animation de rencontres * Expérience avec des agences externes et des équipes multidisciplinaires, et forte orientation vers l’amélioration continue * Excellente maîtrise des outils MS Office (Word, Excel, Outlook, Teams) et aisance démontrée avec les outils numériques collaboratifs et l’IA (ex. Copilot) * Capacité à apprendre rapidement et à s’adapter aux nouvelles technologies Maîtrise orale et écrite du français et de l’anglais Une bonne maîtrise du français est requise pour les postes au Québec. La personne en poste devra communiquer fréquemment en anglais, à l’oral et à l’écrit, avec des collègues, des clients ou d’autres parties prenantes, tant au Québec qu’à l’international. ## Additional Information #LI-CB1 Des outils d’intelligence artificielle sont utilisés pour l’analyse des candidatures, que ce soit pour trier ou présélectionner les profils en fonction de critères liés aux exigences du poste. Toutes les candidatures sont ensuite examinées par notre équipe de recrutement afin d’assurer un processus équitable et inclusif. Équité en emploi Transat s’est engagée à favoriser un milieu inclusif et respectueux où l’équité a primauté. Nous nous efforçons de manière à rassembler un effectif qui reflète la diversité de nos clients ainsi que des communautés dans lesquelles nous voyageons. Nous encourageons alors les femmes, les minorités visibles, les minorités ethniques, les autochtones et les personnes avec des handicaps à soumettre leur candidature. Transat accommodera les personnes avec des handicaps tout au long du processus de sélection et d’embauche. Si vous avez besoin des mesures d’adaptation, communiquez avec nous afin que nous puissions ensemble combler vos besoins convenablement.", "summaryDescription" : "Spécialiste Marketing - orchestration de campagnes at Transat AT. Skills: Campaign orchestration, Marketing campaigns, Project management. Ensure end-to-end coordination of marketing campaigns. Develop, structure, and manage campaign plans", "postedDate" : "2026-06-15T22:03:46.000", "createdAt" : "2026-06-16T01:32:44.639", "lastUpdated" : "2026-06-16T10:15:24.326", "ingestTimestamp" : "2026-06-16T01:32:44.639", "mongoId" : "6a30788af292fd229c02b85d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Campaign management", "Integrated marketing", "Marketing operations", "Multichannel campaigns", "Project management", "Cross-functional coordination", "Campaign orchestration", "Marketing campaigns", "Organization", "Coordination", "Continuous improvement", "Planning", "Timelines", "Deliverables", "Dependencies", "Tourism marketing", "Sustainable tourism", "MS Office", "Teams", "Copilot" ], "skillCount" : 20, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 568.5793, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Travel", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305649f292fd229cf26d0c", "title" : "Software Development Engineer, Query Processing", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 70000.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, Washington, USA", "locations" : [ "Redmond, Washington, USA" ], "timestamp" : "2026-06-16T06:20:46.339", "fingerprint" : "fd95af06f063eebe007c88342b46578fee0c2f062bc6218e3ee1d5681842938d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449231/apply", "externalId" : "6ed190e2-8276-4991-a9d9-0ae3f54e81a6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Amazon Analytics offers fully managed cloud data warehouse and data lake capabilities. Tens of thousands of enterprise customers use Analytics services to crunch through exabytes of data in the cloud to make business critical decisions every day. To stay ahead in such a mission critical setting, we must always re-invent ourselves for customers. We are always looking for the innovative engineers to help shape the future of Analytics. We are actively hiring a talented Software Engineer in the Query Processing team. Query processing is at the heart of Analytics data plane and is responsible for the massive parallel execution engine. 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 customers who require specialized security solutions for their cloud services. Key job responsibilities As a Software Development Engineer, you will build systems that benefit Analytics customers across the world. You will take significant ownership on the overall product vision by defining new features and architecture. You will distill complex and ambiguous requirements, converting them into meaningful projects that provide immense customer value. You will own and code end-to-end deliverables from design, development, deployment, monitoring, and operations. You will lead engineers on substantial projects and help develop a flourishing team through active mentoring and hiring. This is a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology powering analytical workloads for Fortune 500 companies, startups, and everything in between. You will bring deep technical, algorithmic and coding expertise with the ability to work within a fast moving and collaborative environment in the industry leading cloud company to deliver a broad business impact. About the team 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 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 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 non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - 2+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience - 2+ years of big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza 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, WA, Redmond - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, Query Processing at Amazon Development Center U.S., Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:58:22.853", "lastUpdated" : "2026-06-16T06:20:46.339", "ingestTimestamp" : "2026-06-15T21:58:22.853", "mongoId" : "6a305649f292fd229cf26d0c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449231/apply", "salaryAnnualMin" : 70000, "salaryAnnualMax" : 194400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 567.30896, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306dc0f292fd229cfda1bf", "title" : "Forward Deployed Engineer", "company" : "PermitFlow", "industry" : "Engineering", "salary" : { "min" : 120000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York City, NY", "locations" : [ "New York City, NY" ], "timestamp" : "2026-06-16T09:37:40.153", "fingerprint" : "809bf47fd1f4844c7cff482923782df0ff70a07e19e0f9b2478fc467ac552dee", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/permitflow/59bc7a80-a622-49b7-b47d-51d70a7c1075/application", "externalId" : "59bc7a80-a622-49b7-b47d-51d70a7c1075", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Go, Kubernetes, Docker, AWS, GCP, Terraform, SQL, PostgreSQL, CI/CD", "professionalSkills" : [ "System design", "API design" ], "hardSkillsList" : [ "Infrastructure automation", "Cloud infrastructure" ], "hardSkills" : [ { "name" : "Infrastructure automation", "level" : "intermediate" }, { "name" : "Cloud infrastructure", "level" : "intermediate" } ], "majorSkills" : "DevOps, Infrastructure as Code", "majorSkillsList" : [ "DevOps", "Infrastructure as Code" ], "coreResponsibilities" : "Build and maintain infrastructure, Automate operational tasks, Develop CI/CD pipelines, Monitor system performance, Troubleshoot production issues, Implement security best practices, Collaborate with engineering teams, Document infrastructure changes", "teamCollaboration" : "Engineering teams; Cross-functional teams", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Cloud-native architecture; Distributed systems", "domainList" : [ "cloud-native-architecture", "distributed-systems" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Distributed systems" ], "toolProficiency" : [ "Kubernetes", "Docker", "Terraform", "AWS", "GCP", "Git" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Architecture diagrams; Runbooks", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Improve system reliability; Enhance deployment efficiency; Reduce operational costs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "PermitFlow is redefining how America builds. We’re an applied AI company serving the nation’s builders, tackling one of the largest information challenges in the economy: understanding what can be built, where, and how. Our AI agent workforce helps the fastest-growing construction companies navigate everything from permitting and licensing to inspections and project closeouts – accelerating housing, clean-energy, and infrastructure development across the country. Despite being a $1.6T industry, construction still suffers from massive delays, wasted capital, and lost opportunity. PermitFlow has already delivered unprecedented speed, accuracy, and visibility to over $20B in development, helping contractors reduce compliance time, de-risk projects, and scale with confidence. As the U.S. enters a new capex supercycle across data centers, factories, housing, and renewables, joining PermitFlow means building the AI infrastructure at the core of every construction project driving the next wave of reindustrialization. We’ve raised over $90M, most recently completing our Series B, https://www.permitflow.com/blog/permitflow-series-b from top-tier investors including Accel, Kleiner Perkins https://www.linkedin.com/feed/update/urn:li:activity:7401703305569275904/, Initialized, Y Combinator, Felicis, and Altos Ventures, with backing from leaders at OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber. Our HQ is in New York City with a hybrid schedule (3 in-office days per week). We prefer NYC-based candidates or those open to relocation. ROLE OVERVIEW A Forward Deployed Engineer works inside the customer's world. You write code, scope integrations, and build working software on the customer's real data and systems. You join our biggest enterprise deals early, prove the product works before the customer signs, and then turn what you learn into product the whole platform can use. You sit on our Growth team inside Engineering, Product, and Design. Your job is to get new customers to value fast and to bring customer reality back to the rest of the team. This is a new, founding role. You will help define how we do forward deployment at PermitFlow. WHAT YOU'LL DO - Sit with customer operations during pre-sale and early pilots. Map how their permitting work really happens, not the demo version. - Prototype against the customer's real data and integrations (ServiceTitan, Salesforce, Procore, and others) during the pilot. Ship a working slice that earns the deal. - Turn the messy, customer-specific rules you find into reusable product, not one-off code. - Build production feedback loops. Confidence scores, human overrides, and downstream metrics flow back into the product. - Build reusable integration pieces. What you build for the first customer becomes a setting the next customer can turn on. - Champion the customer perspective inside the company. Bring what you learn back to product, design, and engineering. - Work cross-functionally to help shape the product roadmap. WHAT WE'RE LOOKING FOR - Strong software engineer who likes being in front of customers. You write code and you talk to people. - Comfortable owning an integration end to end. APIs, data models, backend, and enough frontend to ship a working demo. - Experience prototyping on messy, real-world data and systems. Work with CRMs, ERPs, or field-ops tools like ServiceTitan, Salesforce, or Procore is a plus. - Track record of shipping production systems and making smart trade-offs for speed, reliability, and scale. - You turn one-off custom work into reusable product. You want your work to disappear into the platform. - Startup or fast-moving team experience preferred. - Construction or permitting background is a nice-to-have, not required. WHAT WE OFFER - Competitive salary and meaningful equity in a high-growth company - 100% company-paid base medical, dental, and vision coverage for employees + healthcare FSA - 401(k) savings plan - Unlimited PTO and paid family leave - Home office & equipment stipend - Daily in-office lunch and dinner provided - Commuter benefits (pre-tax transit and parking) PermitFlow provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, gender expression, or family status, as protected by applicable law. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. All employment decisions are based on merit, qualifications, and business needs.", "summaryDescription" : "Forward Deployed Engineer at PermitFlow. Skills: DevOps, Infrastructure as Code. Build and maintain infrastructure. Automate operational tasks", "createdAt" : "2026-06-16T00:30:25.340", "lastUpdated" : "2026-06-16T09:37:40.153", "ingestTimestamp" : "2026-06-16T00:30:25.340", "mongoId" : "6a306dc0f292fd229cfda1bf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 240000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Infrastructure automation", "Cloud infrastructure", "DevOps", "Infrastructure as Code", "System design", "API design", "Agile methodologies", "Cloud-native architecture", "Distributed systems", "Kubernetes", "Docker", "Terraform", "AWS", "GCP", "Git" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 555.0732, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306542f292fd229cfa66f8", "title" : "Forward Deployed Engineer", "company" : "Laurel", "industry" : "Engineering", "salary" : { "min" : 180000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote, Latin America", "locations" : [ "Remote, Latin America" ], "timestamp" : "2026-06-16T10:57:09.658", "fingerprint" : "ee1f67ed009c490c1368bf6b7ac618aaffc47d0db89ff044344e76749f158bb6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/laurel/4578640b-7cef-4cf5-ac68-c7ebaabeede5/application", "externalId" : "4578640b-7cef-4cf5-ac68-c7ebaabeede5", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Laurel is on a mission to return time. As the leading AI Time platform for professional services firms, we’re transforming how organizations capture, analyze, and optimize their most valuable resource: time. Our proprietary machine learning technology automates work time capture and connects time data to business outcomes, enabling firms to increase profitability, improve client delivery, and make data-driven strategic decisions. We serve many of the world's largest accounting and law firms, including EY, Aprio, Crowell & Moring, and Frost Brown Todd, and process over 1 billion work activities annually that have never been collected and aggregated before Laurel’s AI Time platform. Our team comprises top talent in AI, product development, and engineering—innovative, humble, and forward-thinking professionals committed to redefining productivity in the knowledge economy. We're building solutions that empower workers to deliver twice the value in half the time, giving people more time to be creative and impactful. If you're passionate about transforming how people work and building a lasting company that explores the essence of time itself, we'd love to meet you. THE ROLE As a Forward Deployed Engineer at Laurel, you’ll work directly with customers to design, build, and deploy AI-powered systems that solve real operational problems. You’ll operate at the intersection of engineering, product, and customer delivery — embedding deeply with customer teams, understanding their workflows firsthand, and shipping production-grade systems that create measurable impact. This is not a solutions architect role. It is not post-sales support. And it is not lightweight integration work.You http://work.You will write production code, own technical outcomes end-to-end, and help shape the core Laurel platform through what you learn in the field. The best FDEs are highly technical product engineers who also happen to be exceptional at navigating ambiguity, communicating with stakeholders, and turning incomplete information into working systems. You should be excited by questions like: - How do we turn a messy operational workflow into a reliable AI system? - What breaks when LLMs meet real enterprise data? - How do we build infrastructure that works across dozens of customer environments? - When should something become productized versus remain customer-specific? - How do we go from “interesting prototype” to trusted production workflow in days, not months? WHAT YOU’LL DO - Work directly with customers and Laureates to understand operational workflows, constraints, and technical environments - Design and implement production-grade solutions across backend services, orchestration layers, integrations, and internal tooling - Write high-quality code across the stack — typically TypeScript, APIs, data pipelines, and cloud infrastructure - Own deployments end-to-end: discovery, architecture, implementation, testing, rollout, monitoring, and iteration - Debug complex issues across customer systems, infrastructure, authentication, APIs, and data pipelines - Collaborate closely with Product and Core Engineering to turn field learnings into reusable platform capabilities - Rapidly prototype new functionality while maintaining strong engineering judgment around scalability and maintainability - Translate ambiguous customer needs into clear technical plans and execution paths - Help customers operationalize AI safely and effectively in real production environments - Help accelerate the implementation team’s efforts to reduce time to impact for customers. WHAT WE’RE LOOKING FOR We’re looking for engineers who combine strong technical fundamentals with exceptional ownership and execution. You may be a fit if you: - Have 4+ years of experience building production software systems - Are comfortable moving across backend, infrastructure, integrations, and customer environments - Can independently architect and ship complex systems with minimal oversight - Have experience with APIs, distributed systems, cloud infrastructure, and data-intensive applications - Have worked with LLMs, AI agents, retrieval systems, orchestration frameworks, or applied AI systems in production - Thrive in ambiguous environments where requirements evolve quickly - Can communicate clearly with both engineers and non-technical stakeholders - Care deeply about speed, iteration, and customer impact - Are excited to work directly with customers and own outcomes, not just tickets STRONG SIGNALS These are not requirements, but they tend to correlate strongly with success in this role: - Startup experience or early-stage product building - Experience deploying AI systems into enterprise environments - Strong systems engineering or infrastructure background - Experience integrating with third-party enterprise systems and APIs - Familiarity with authentication systems, security constraints, and enterprise IT environments - Experience debugging production issues in unfamiliar codebases - History of shipping quickly under real-world constraints - Comfort balancing rapid iteration with long-term engineering quality WHAT SUCCESS LOOKS LIKE Successful Forward Deployed Engineers at Laurel: - Earn deep trust with customer teams through technical credibility and execution - Move customers from pilot to production quickly - Create reusable technical patterns that improve the core platform - Identify the difference between one-off customization and durable product opportunity - Bring clarity to ambiguous problems - Operate with urgency while maintaining strong engineering judgment - Leave systems in a maintainable, scalable state after deployment WHY THIS ROLE MATTERS At Laurel, we believe the best enterprise software comes from engineers working directly with real customer problems — not from building in isolation. The insights generated in the field shape our roadmap, platform architecture, and product direction. This role is ideal for engineers who want to: - Build and ship constantly - Work on hard technical problems with real-world constraints - Develop strong product instincts - Operate with high ownership and autonomy - See the direct impact of their work in production environments If you’re energized by ambiguity, technical depth, customer context, and fast execution, we’d love to talk. WHY JOIN LAUREL: - To date, we've secured significant funding from renowned venture capitalists (Google Ventures, IVP, Anthos, Upfront Ventures), as well as notable individuals like Marc Benioff, Gokul Rajaram, Kevin Weil, and Alexis Ohanian - A smart, fun, collaborative, and inclusive team - Great employee benefits, including equity and 401K - Bi-annual, in-person company off-sites, in unique locations, to grow and share time with the team - An opportunity to perform at your best while growing, making a meaningful impact on the company's trajectory, and embodying our core values: understanding your \"why,\" dancing in the rain, being your whole self, and sanctifying time We encourage diverse perspectives and rigorous thinkers who aren't afraid to challenge the status quo. Laurel is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We are not able to support visa sponsorship or relocation assistance. If you think you'd be a good fit for this role, we encourage you to apply, even if you don’t perfectly match all the bullet points in the job description. At Laurel, we strive to create an inclusive culture that encourages people from all walks of life to bring their unique, diverse perspectives to work. Every day, we aim to build an environment that empowers us all to do the best work of our careers, and we can't wait to show you what we have to offer!", "summaryDescription" : "Forward Deployed Engineer at Laurel", "createdAt" : "2026-06-16T00:26:29.453", "lastUpdated" : "2026-06-16T10:57:09.658", "ingestTimestamp" : "2026-06-16T00:26:29.453", "mongoId" : "6a306542f292fd229cfa66f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 554.71277, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305ef8f292fd229cf768d9", "title" : "Forward Deployed Engineer", "industry" : "Tech", "salary" : { "min" : 170000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles", "locations" : [ "Los Angeles", "Boston", "New York" ], "timestamp" : "2026-06-16T10:11:48.923", "fingerprint" : "aed2ad8d207ada138aa704d1f8cd6675744846b27a9df5a131a3cd6b57861d48", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/planhat/ae6a1b96-f290-4915-86c9-0d3c75a0dcb3/application", "externalId" : "ae6a1b96-f290-4915-86c9-0d3c75a0dcb3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, REST, GraphQL, AI", "professionalSkills" : [ "Data modeling", "Agentic systems", "AI deployment", "Workflow automation", "Systems design", "Commercial operations" ], "hardSkillsList" : [ "Data engineering", "API integration" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "API integration", "level" : "intermediate" } ], "majorSkills" : "AI Deployment, Data Engineering, Systems Design", "majorSkillsList" : [ "AI Deployment", "Data Engineering", "Systems Design" ], "coreResponsibilities" : "Embed with customers, Understand customer business, Understand customer systems, Engineer data pipelines, Engineer workflows, Engineer automations, Deliver AI-powered outcomes, Build the playbook for FDE", "teamCollaboration" : "Work with customers; Trusted technical partner", "domainKnowledge" : "Agentic systems; Applied AI", "domainList" : [ "agentic-systems", "applied-ai" ], "domainSpecificKnowledge" : [ "Agentic systems", "Applied AI" ], "innovationCreativity" : "Building something new", "problemSolvingSkills" : "Applied problem-solving", "specialRequirements" : "Willing to travel", "outcomesObjectives" : "Deliver measurable outcomes; Deliver scalable outcomes; Deliver repeatable outcomes", "qualificationsBasic" : "3–6 years of experience, Comfort working directly with customers, Comfort operating in ambiguous environments, Willingness to travel to customer sites, Foundation in SQL, Foundation in data modeling, Experience with Python, Experience with other scripting languages, Experience integrating with APIs, Experience with agentic systems, Experience with AI tools", "qualificationsPreferred" : "Familiarity with data pipelines, Familiarity with ETL/ELT, Familiarity with workflow automation", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "COMPETENCIES This isn't traditional consulting. And it's not back-office engineering. It's applied problem-solving in the real world, where your decisions directly impact revenue, retention, and business outcomes. We're looking for someone with: - 3–6 years of experience in consulting, data engineering, software engineering, or similar technical roles - Comfort working directly with customers and operating in ambiguous environments - Curiosity, ownership, and interest in building something new - Willingness to travel to customer sites - The ability to learn fast — this is the most important trait of all Technical foundations: - Strong foundation in SQL and data modeling - Experience with Python and/or other scripting languages - Experience integrating with APIs (REST / GraphQL) - Strong foundation in agentic systems and experience with AI tools to accelerate delivery - Familiarity with data pipelines, ETL/ELT, or workflow automation is a bonus but not required TRAJECTORY Forward Deployed Engineers are the heart of Planhat's AI Deployment Program. Joining Planhat as a Founding FDE at this moment is a unique professional accelerant: - Work with companies that are early adopters of AI and want to build the future with us - Gain experience in data engineering, systems design, AI deployment, workflow automation, and commercial operations — all at once - Become fluent in applied AI: not model research, but the much harder, much rarer skill of deploying AI that actually works - Develop technical intuition that is extremely rare in the market — the type that opens doors to engineering leadership, product architecture, or applied AI roles in any industry - Shape a brand-new discipline. FDE is to this decade what full-stack engineering was to the previous one As our Founding FDE, you'll embed with customers, understand how their business and systems actually work, and engineer the data pipelines, workflows, and automations that make AI useful and valuable. DEFINITION OF SUCCESS - You are continuously delivering AI-powered outcomes for customers that are measurable, scalable, and repeatable - You are consistently seen as a trusted technical partner by customers, bridging the gap between messy real-world complexity and AI systems that actually work - You are building the playbook for Forward Deployment Engineering at Planhat — shaping a discipline that is just beginning to emerge - You are growing your technical intuition across data engineering, systems design, AI deployment, and commercial operations simultaneously - You are helping companies transition into the AI era with clarity, speed, and real outcomes COMPENSATION The OTE (base + variable) salary range for this position is $170,000 - $250,000 per year. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a generous PTO policy, and other benefits.", "summaryDescription" : "Forward Deployed Engineer. Skills: AI Deployment, Data Engineering, Systems Design. Embed with customers. Understand customer business", "createdAt" : "2026-06-16T00:27:48.449", "lastUpdated" : "2026-06-16T10:11:48.923", "ingestTimestamp" : "2026-06-16T00:27:48.449", "mongoId" : "6a305ef8f292fd229cf768d9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data engineering", "API integration", "AI Deployment", "Data Engineering", "Systems Design", "Data modeling", "Agentic systems", "AI deployment", "Workflow automation", "Systems design", "Commercial operations", "Applied AI" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 554.4014, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30716df292fd229cff9272", "title" : "Forward Deployed Engineer", "company" : "Sutherland", "industry" : "Leisure And Travel", "salary" : { "min" : 750000.0, "max" : 1250000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Forward Deployed Engineer in Hyderabad, India, adjusted for the technology industry and company size." }, "location" : "Hyderabad, TS, IN", "locations" : [ "Hyderabad", "TS", "IN" ], "timestamp" : "2026-06-16T11:11:28.506", "fingerprint" : "d2deee6a1f058b05b720110dadec1ea4b852110d1510219707573ad660897818", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sutherland/744000132138891-forward-deployed-engineer", "externalId" : "744000132138891", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, Java, Next JS, Go, JavaScript, Google Cloud Platform, Generative AI, LLMs, RAG, AI agents, APIs, Enterprise data platforms, Backend services, Cloud-native applications, Vertex AI, BigQuery, Cloud Run, GKE, Vector databases, Prompt engineering", "professionalSkills" : [ "Solutions engineering", "Technical consulting", "Solution architecture", "Customer engagement", "Stakeholder management" ], "hardSkillsList" : [ "Software engineering", "Machine learning", "AI innovation" ], "hardSkills" : [ { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI innovation", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Google Cloud, Software engineering", "majorSkillsList" : [ "Generative AI", "Google Cloud", "Software engineering" ], "coreResponsibilities" : "Understand business challenges, Identify AI opportunities, Design AI-powered applications, Develop AI-powered applications, Deploy AI-powered applications, Build solutions using LLMs, Build solutions using RAG, Build solutions using AI agents, Build solutions using APIs, Build solutions using enterprise data platforms, Develop scalable backend services, Develop integrations, Develop cloud-native applications, Lead technical workshops, Lead architecture discussions, Lead solution design sessions, Prototype AI use cases, Test AI use cases, Iterate on AI use cases, Collaborate with product managers, Collaborate with data scientists, Collaborate with engineering teams, Deliver production-ready solutions, Ensure solutions meet standards, Support customer deployments, Serve as trusted technical advisor, Stay current with AI technologies, Stay current with cloud technologies, Drive innovation across organization", "teamCollaboration" : "Customer collaboration; Product teams; Architects; Engineers; Business stakeholders; Technical stakeholders; Data scientists", "domainKnowledge" : "Cloud-native architectures; Microservices; Distributed systems; Generative AI; LLMs; RAG; Vector databases; AI agents; Prompt engineering", "domainList" : [ "cloud-native-architectures", "microservices", "distributed-systems", "generative-ai", "llms", "rag", "vector-databases", "ai-agents", "prompt-engineering" ], "domainSpecificKnowledge" : [ "Cloud-native architectures", "Microservices", "Distributed systems", "Generative AI", "LLMs", "RAG", "Vector databases", "AI agents", "Prompt engineering" ], "toolProficiency" : [ "Gemini", "OpenAI", "Claude", "LangChain", "LangGraph" ], "communicationSkills" : "Customer engagement; Architecture discussions; Solution design sessions", "innovationCreativity" : "AI innovation", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Create measurable impact; Drive business value", "qualificationsBasic" : "Bachelor's or Master's degree, 1–4 years of experience, Programming skills in Python, Java, Next JS, Go, JavaScript, Experience building applications on Google Cloud Platform, Knowledge of cloud-native architectures, APIs, microservices, and distributed systems, Experience with Generative AI technologies, Problem-solving skills, Communication skills, Stakeholder management skills", "qualificationsPreferred" : "Experience delivering enterprise AI solutions, Hands-on experience with Gemini, OpenAI, Claude, LangChain, LangGraph, Exposure to solution architecture, Experience working closely with business stakeholders, MBA from a leading institution", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Sutherland is seeking a highly talented Forward Deployed Engineer to join our AI and Digital Engineering team. In this role, you will work directly with global enterprise customers to design, build, and deploy AI-powered solutions on Google Cloud that solve real business challenges and create measurable impact. You will collaborate with customers, product teams, architects, and engineers to turn innovative ideas into production-ready applications leveraging Generative AI, cloud technologies, and modern software engineering practices. As a Forward Deployed Engineer, you will serve as the bridge between customers and engineering teams, helping enterprises adopt and scale AI solutions. You will work closely with business and technical stakeholders to understand problems, design solutions, and rapidly deliver high-impact AI applications on Google Cloud. This role combines software engineering, solution architecture, customer engagement, and AI innovation. Responsibilities * Partner directly with enterprise customers to understand business challenges and identify AI opportunities. * Design, develop, and deploy AI-powered applications using Google Cloud and Generative AI technologies. * Build solutions using LLMs, RAG, AI agents, APIs, and enterprise data platforms. * Develop scalable backend services, integrations, and cloud-native applications. * Lead technical workshops, architecture discussions, and solution design sessions with customers. * Rapidly prototype, test, and iterate on AI use cases to drive business value. * Collaborate with product managers, data scientists, and engineering teams to deliver production-ready solutions. * Ensure solutions meet standards for scalability, security, reliability, and performance. * Support customer deployments and serve as a trusted technical advisor throughout project delivery. * Stay current with emerging AI and cloud technologies and help drive innovation across the organization. ## Qualifications * Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * 1–4 years of experience in software engineering, solutions engineering, machine learning, or technical consulting. * Strong programming skills in Python, Java, Next JS, Go, JavaScript, or similar languages. * Experience building applications on Google Cloud Platform (GCP). * Knowledge of cloud-native architectures, APIs, microservices, and distributed systems. * Experience with Generative AI technologies, including LLMs, RAG, vector databases, AI agents, and prompt engineering. * Familiarity with Google Cloud services such as Vertex AI, BigQuery, Cloud Run, GKE, and related technologies. * Strong problem-solving, communication, and stakeholder management skills. * Ability to work independently and thrive in fast-paced, customer-facing environments. Preferred Qualifications * Experience delivering enterprise AI, analytics, automation, or digital transformation solutions. * Hands-on experience with Gemini, OpenAI, Claude, LangChain, LangGraph, or similar AI frameworks. * Exposure to solution architecture, technical consulting, or customer-facing engineering roles. * MBA from a leading institution or experience working closely with business stakeholders is a plus.", "summaryDescription" : "Forward Deployed Engineer at Sutherland. Skills: Generative AI, Google Cloud, Software engineering. Understand business challenges. Identify AI opportunities", "postedDate" : "2026-06-15T08:23:04.000", "createdAt" : "2026-06-16T01:36:54.852", "lastUpdated" : "2026-06-16T11:11:28.506", "ingestTimestamp" : "2026-06-16T01:36:54.852", "mongoId" : "6a30716df292fd229cff9272", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software engineering", "Machine learning", "AI innovation", "Generative AI", "Google Cloud", "Solutions engineering", "Technical consulting", "Solution architecture", "Customer engagement", "Stakeholder management", "Cloud-native architectures", "Microservices", "Distributed systems", "LLMs", "RAG", "Vector databases", "AI agents", "Prompt engineering", "Gemini", "OpenAI", "Claude", "LangChain", "LangGraph" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 554.3937, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306536f292fd229cfa61db", "title" : "Forward Deployed Engineer", "company" : "Rerun", "industry" : "User Space", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Forward Deployed Engineer in the US Technology industry, adjusted for remote work and West Coast location." }, "location" : "Remote US, West Coast", "locations" : [ "Remote US, West Coast" ], "timestamp" : "2026-06-16T11:24:29.242", "fingerprint" : "50b5e1b5adc3273499949bf987c5009c6fdf0e73e01e333cbb1ab8248aa4f4f6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/rerun/ee28fed0-9ada-40ac-b828-f1ed633f60e6/application", "externalId" : "ee28fed0-9ada-40ac-b828-f1ed633f60e6", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Robotics, ML, Data engineering, Databases", "professionalSkills" : [ "System design" ], "hardSkillsList" : [ "Python coding" ], "hardSkills" : [ { "name" : "Python coding", "level" : "intermediate" } ], "majorSkills" : "Robotics, Spatial AI, Data Engineering", "majorSkillsList" : [ "Robotics", "Spatial AI", "Data Engineering" ], "coreResponsibilities" : "Run demos, Onboard customers onsite, Onboard customers remotely, Build engineer-to-engineer trust, Take a messy customer problem, Stand up a working POC, Be the most expert user, Feed customer struggles back, Coordinate with the team, Make every POC better, Make customer onboarding better", "teamCollaboration" : "Alongside founders; With the team", "domainKnowledge" : "Physical AI; Robotics; Spatial AI; Computer vision", "domainList" : [ "physical-ai", "robotics", "spatial-ai", "computer-vision" ], "domainSpecificKnowledge" : [ "Physical AI", "Robotics", "Spatial AI", "Computer vision" ], "toolProficiency" : [ "Rerun SDK viewer", "Rerun Hub" ], "problemSolvingSkills" : "Solving customer problems", "specialRequirements" : "30% travel", "qualificationsBasic" : "Technical foundation in Robotics, Technical foundation in ML, Technical foundation in data engineering, Technical foundation in databases, Working Python, Comfortable with 30% travel", "qualificationsPreferred" : "Hands-on exposure in robotics, Hands-on exposure in spatial AI, Hands-on exposure in computer vision", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We're building the data stack for Physical AI. The Rerun SDK viewer is loved by some of the best robotics and spatial AI teams in the world, and Rerun Hub is live in private preview managing petabytes of data. Demand is strong, and we need someone whose focus is making customers successful, fast. As a Forward Deployed Engineer, you'll sit with customers from first demo through production, figure out what they actually need, and get something working in front of them. What drives you is unblocking customers and watching them go all-in on the product. WHAT YOU'LL DO - Run demos and onboard customers onsite and remotely, building engineer-to-engineer trust alongside our founders - Take a messy customer problem and stand up a working proof of concept - Be the most expert user of Rerun, and feed relay customers struggles back into the roadmap - Coordinate with the team to make every POC and customer onboarding better than the last WHAT WE'RE LOOKING FOR - A technical foundation in either Robotics, ML, data engineering, or databases. You are credible with engineers, comfortable in real codebases. - Working Python: you can read, iterate on, and extend existing code and get a POC over the line. - Genuine interest in robotics, spatial AI, or computer vision; hands-on exposure is a real plus - High agency, and genuinely driven by solving customer problems. Technical and real beats charismatic salesperson. - Comfortable with 30% travel HOW WE WORK AT RERUN - We're a remote company headquartered in Stockholm, Sweden. - We meet up in person for a week roughly once a quarter - The team you'll join has members in European and US timezones - We've put together an uncommonly talented tech team, value agency and helpfulness highly, and expect everyone to take broad responsibility for what they build - We offer competitive cash and equity compensation, six weeks paid vacation, and whatever hardware and software you need to do your job", "summaryDescription" : "Forward Deployed Engineer at Rerun. Skills: Robotics, Spatial AI, Data Engineering. Run demos. Onboard customers onsite", "createdAt" : "2026-06-16T00:26:51.844", "lastUpdated" : "2026-06-16T11:24:29.242", "ingestTimestamp" : "2026-06-16T00:26:51.844", "mongoId" : "6a306536f292fd229cfa61db", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Python coding", "Robotics", "Spatial AI", "Data Engineering", "System design", "Physical AI", "Computer vision", "Rerun SDK viewer", "Rerun Hub" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 554.3906, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3055daf292fd229cf2247f", "title" : "Forward Deployed Engineer", "company" : "Sutherland", "industry" : "Leisure And Travel", "salary" : { "min" : 750000.0, "max" : 1250000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Forward Deployed Engineer in Hyderabad, India, adjusted for the technology industry and company size." }, "location" : "Hyderabad, TS, IN", "locations" : [ "Hyderabad", "TS", "IN" ], "timestamp" : "2026-06-16T10:52:28.911", "fingerprint" : "cb1602325cf3ed2f30f41781fbff9a2b32fb279184e3bf6c6b9060b44f1b2a13", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sutherland/744000132138891-forward-deployed-engineer", "externalId" : "744000132138891", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, Java, Next JS, Go, JavaScript, Google Cloud Platform, Generative AI, LLMs, RAG, AI agents, APIs, Enterprise data platforms, Backend services, Cloud-native applications, Vertex AI, BigQuery, Cloud Run, GKE, Vector databases, Prompt engineering", "professionalSkills" : [ "Solutions engineering", "Technical consulting", "Solution architecture", "Customer engagement", "AI innovation" ], "hardSkillsList" : [ "Software engineering", "Machine learning", "Cloud-native architectures", "Microservices", "Distributed systems" ], "hardSkills" : [ { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Cloud-native architectures", "level" : "intermediate" }, { "name" : "Microservices", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" } ], "majorSkills" : "AI-powered solutions, Google Cloud, Generative AI, Software engineering", "majorSkillsList" : [ "AI-powered solutions", "Google Cloud", "Generative AI", "Software engineering" ], "coreResponsibilities" : "Partner with enterprise customers, Understand business challenges, Identify AI opportunities, Design AI-powered applications, Develop AI-powered applications, Deploy AI-powered applications, Build solutions using LLMs, Build solutions using RAG, Build solutions using AI agents, Build solutions using APIs, Build solutions using enterprise data platforms, Develop scalable backend services, Develop integrations, Develop cloud-native applications, Lead technical workshops, Lead architecture discussions, Lead solution design sessions, Rapidly prototype AI use cases, Test AI use cases, Iterate on AI use cases, Collaborate with product managers, Collaborate with data scientists, Collaborate with engineering teams, Ensure solutions meet standards, Support customer deployments, Serve as trusted technical advisor, Stay current with AI technologies, Stay current with cloud technologies, Drive innovation across organization", "teamCollaboration" : "Customer collaboration; Product teams collaboration; Architects collaboration; Engineers collaboration; Business stakeholders collaboration; Technical stakeholders collaboration; Product managers collaboration; Data scientists collaboration; Engineering teams collaboration", "domainKnowledge" : "Generative AI; Cloud-native architecture; APIs; Microservices; Distributed systems; LLMs; RAG; AI agents; Vector databases; Prompt engineering", "domainList" : [ "generative-ai", "cloud-native-architecture", "apis", "microservices", "distributed-systems", "llms", "rag", "ai-agents", "vector-databases", "prompt-engineering" ], "domainSpecificKnowledge" : [ "Generative AI", "Cloud-native architecture", "APIs", "Microservices", "Distributed systems", "LLMs", "RAG", "AI agents", "Vector databases", "Prompt engineering" ], "toolProficiency" : [ "Google Cloud", "Vertex AI", "BigQuery", "Cloud Run", "GKE", "Gemini", "OpenAI", "Claude", "LangChain", "LangGraph" ], "communicationSkills" : "Stakeholder management", "continuousLearning" : "Stay current with emerging AI and cloud technologies", "innovationCreativity" : "AI innovation; Drive innovation across the organization", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Create measurable impact; Turn innovative ideas into production-ready applications; Deliver high-impact AI applications; Drive business value", "qualificationsBasic" : "Bachelor's or Master's degree, 1–4 years of experience, Programming skills in Python, Java, Next JS, Go, JavaScript, Experience building applications on Google Cloud Platform, Knowledge of cloud-native architectures, APIs, microservices, and distributed systems, Experience with Generative AI technologies, Problem-solving skills, Communication skills, Stakeholder management skills, Ability to work independently, Thrive in fast-paced, customer-facing environments", "qualificationsPreferred" : "Experience delivering enterprise AI, analytics, automation, or digital transformation solutions, Hands-on experience with Gemini, OpenAI, Claude, LangChain, LangGraph, Exposure to solution architecture, Exposure to technical consulting, Exposure to customer-facing engineering roles, MBA from a leading institution, Experience working closely with business stakeholders", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Sutherland is seeking a highly talented Forward Deployed Engineer to join our AI and Digital Engineering team. In this role, you will work directly with global enterprise customers to design, build, and deploy AI-powered solutions on Google Cloud that solve real business challenges and create measurable impact. You will collaborate with customers, product teams, architects, and engineers to turn innovative ideas into production-ready applications leveraging Generative AI, cloud technologies, and modern software engineering practices. As a Forward Deployed Engineer, you will serve as the bridge between customers and engineering teams, helping enterprises adopt and scale AI solutions. You will work closely with business and technical stakeholders to understand problems, design solutions, and rapidly deliver high-impact AI applications on Google Cloud. This role combines software engineering, solution architecture, customer engagement, and AI innovation. Responsibilities * Partner directly with enterprise customers to understand business challenges and identify AI opportunities. * Design, develop, and deploy AI-powered applications using Google Cloud and Generative AI technologies. * Build solutions using LLMs, RAG, AI agents, APIs, and enterprise data platforms. * Develop scalable backend services, integrations, and cloud-native applications. * Lead technical workshops, architecture discussions, and solution design sessions with customers. * Rapidly prototype, test, and iterate on AI use cases to drive business value. * Collaborate with product managers, data scientists, and engineering teams to deliver production-ready solutions. * Ensure solutions meet standards for scalability, security, reliability, and performance. * Support customer deployments and serve as a trusted technical advisor throughout project delivery. * Stay current with emerging AI and cloud technologies and help drive innovation across the organization. ## Qualifications * Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * 1–4 years of experience in software engineering, solutions engineering, machine learning, or technical consulting. * Strong programming skills in Python, Java, Next JS, Go, JavaScript, or similar languages. * Experience building applications on Google Cloud Platform (GCP). * Knowledge of cloud-native architectures, APIs, microservices, and distributed systems. * Experience with Generative AI technologies, including LLMs, RAG, vector databases, AI agents, and prompt engineering. * Familiarity with Google Cloud services such as Vertex AI, BigQuery, Cloud Run, GKE, and related technologies. * Strong problem-solving, communication, and stakeholder management skills. * Ability to work independently and thrive in fast-paced, customer-facing environments. Preferred Qualifications * Experience delivering enterprise AI, analytics, automation, or digital transformation solutions. * Hands-on experience with Gemini, OpenAI, Claude, LangChain, LangGraph, or similar AI frameworks. * Exposure to solution architecture, technical consulting, or customer-facing engineering roles. * MBA from a leading institution or experience working closely with business stakeholders is a plus.", "summaryDescription" : "Forward Deployed Engineer at Sutherland. Skills: AI-powered solutions, Google Cloud, Generative AI, Software engineering. Partner with enterprise customers. Understand business challenges", "postedDate" : "2026-06-15T08:23:04.000", "createdAt" : "2026-06-15T23:38:46.659", "lastUpdated" : "2026-06-16T10:52:28.911", "ingestTimestamp" : "2026-06-15T23:38:46.659", "mongoId" : "6a3055daf292fd229cf2247f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software engineering", "Machine learning", "Cloud-native architectures", "Microservices", "Distributed systems", "AI-powered solutions", "Google Cloud", "Generative AI", "Solutions engineering", "Technical consulting", "Solution architecture", "Customer engagement", "AI innovation", "Cloud-native architecture", "APIs", "LLMs", "RAG", "AI agents", "Vector databases", "Prompt engineering", "Vertex AI", "BigQuery", "Cloud Run", "GKE", "Gemini", "OpenAI", "Claude", "LangChain", "LangGraph" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 552.73975, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafbf74d8ee00a09d7b13", "title" : "Forward Deployed Engineer - USA (NYC)", "company" : "Neara", "industry" : "Customer Success", "salary" : { "min" : 130000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-15T08:20:21.690", "fingerprint" : "26f637e57d9d09782bb990b3eb094a88f18eb1c2c33d01541b1d1b26054a19fb", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/neara/e62c195b-0cc6-4d40-a391-b79f31ac21ee/application", "externalId" : "e62c195b-0cc6-4d40-a391-b79f31ac21ee", "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", "employmentType" : "FULL_TIME", "technicalSkills" : "TypeScript, JavaScript, Java, SDK, APIs, Node, Npm, Git", "professionalSkills" : [ "Technical consulting", "Software development", "Solution architecture", "Data analysis", "Integration" ], "hardSkillsList" : [ "Declarative scripting", "Data manipulation", "Custom visualizations", "Custom calculations", "Advanced data analysis", "User interface design", "API integration", "Technical design", "Implementation strategies", "Configuration", "Reporting", "Data integration" ], "softSkillsList" : [ "Problem-solver", "Critical thinking" ], "hardSkills" : [ { "name" : "Declarative scripting", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Custom visualizations", "level" : "intermediate" }, { "name" : "Custom calculations", "level" : "intermediate" }, { "name" : "Advanced data analysis", "level" : "intermediate" }, { "name" : "User interface design", "level" : "intermediate" }, { "name" : "API integration", "level" : "intermediate" }, { "name" : "Technical design", "level" : "intermediate" }, { "name" : "Implementation strategies", "level" : "intermediate" }, { "name" : "Configuration", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solver" }, { "name" : "Critical thinking" } ], "majorSkills" : "Platform SDK, Platform APIs, Custom solutions, Technical consulting", "majorSkillsList" : [ "Platform SDK", "Platform APIs", "Custom solutions", "Technical consulting" ], "coreResponsibilities" : "Use Neara SDK, Use platform APIs, Develop custom solutions, Build custom features, Write code, Automate project changes, Integrate third-party data, Manipulate network model, Develop custom visualizations, Develop custom calculations, Develop advanced data analysis, Create tailored UI elements, Automate complex workflows, Build robust integrations, Synchronize project data, Serve as technical advisor, Translate business needs, Create technical designs, Create implementation strategies, Lead training, Lead workshops, Identify customer needs, Identify strategic opportunities, Fuel account growth, Lead configuration, Lead reporting, Lead data integration, Align platform", "teamCollaboration" : "Customer engineers; Business stakeholders; Adjacent teams", "domainKnowledge" : "Electricity grids; Digital twins; Infrastructure resilience; Energy future; AI; Machine learning; Data classification; Scenario analysis; Physics-enabled platform", "domainList" : [ "electricity-grids", "digital-twins", "infrastructure-resilience", "energy-future", "ai", "machine-learning", "data-classification", "scenario-analysis", "physics-enabled-platform" ], "domainSpecificKnowledge" : [ "Electricity grids", "Digital twins", "Infrastructure resilience", "Energy future", "AI", "Machine learning", "Data classification", "Scenario analysis", "Physics-enabled platform" ], "toolProficiency" : [ "Git", "Node", "Npm", "Terminal", "Command line" ], "communicationSkills" : "Communicate technical concepts", "innovationCreativity" : "Innovation thrives; Creative people", "problemSolvingSkills" : "Problem-solver", "outcomesObjectives" : "Unlock new capabilities; Automate complex workflows; Drive maximum business value; Scale impact globally", "qualificationsBasic" : "Software Engineer experience, Forward-Deployed Engineer experience, TypeScript experience, JavaScript experience, Java experience, Git proficiency, Node proficiency, Npm proficiency, Terminal/command line proficiency, SDK understanding, RESTful APIs understanding, OpenAPI Specification understanding, Data analysis skills, Integration skills, Tailored tools building skills", "qualificationsPreferred" : "Customer consulting experience preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara. We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure. By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future. Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe. We are seeking a Forward Deployed Engineer to be the technical expert for our most strategic enterprise customers. This role is a critical blend of technical consulting and hands-on software development. You will be embedded with our customers, designing and building custom, high-impact solutions on and integrated with the Neara platform to unlock new capabilities, automate complex workflows, and drive maximum business value. You will be the primary technical architect responsible for the creation of tailored customer solutions, working directly with customer engineers and business stakeholders. You are a developer and consultant rolled into one: a proactive problem-solver with a knack for communicating complex technical concepts to diverse audiences. What You Will Do: - Actively use the Neara SDK and our platform's APIs to develop custom solutions that extend the platform's functionality. This includes: - Building custom, high-impact features using the Neara SDK, which will involve writing code in Typescript/Javascript and our platform's declarative scripting language to automate project changes, integrate real-time third-party data, and manipulate the network model. - Developing custom visualizations, calculations, and advanced data analysis features. - Creating tailored user interface elements to simplify and automate complex user workflows. - Building robust integrations using our platform's APIs to synchronize project data with external enterprise systems. - Serve as the trusted deep technical advisor to customers, translating complex business needs into clear, actionable technical designs and implementation strategies. - Lead targeted, hands-on training and workshops focused on the Neara SDK, API, and best practices for custom solution development, ensuring customers can maintain and evolve the solutions you build. - Work closely with adjacent teams to identify emerging customer needs and strategic opportunities for leveraging custom development to fuel account growth. - Lead configuration, reporting, and data integration efforts to ensure the Neara platform is meticulously aligned with the customer's technical environment and strategic priorities. Who You Are: - Experience as a Software Engineer or Forward-Deployed Engineer building and delivering custom technical solutions at the enterprise level. Experience working with customers directly or in a consulting capacity is ideal. - Strong experience in TypeScript, JavaScript, Java, and Python; proficient with modern development tools including Git, Node, npm, and the terminal/command line. - Proven ability to rapidly understand and utilize proprietary SDKs and RESTful APIs (following the OpenAPI Specification) to build robust, integrated solutions. - Skilled in data analysis, integration, and building tailored tools (e.g., macros, data pipelines) to deliver maximum customer value. - Exceptional ability to communicate complex technical topics clearly to both engineers and executives, driving consensus and empowering customers. What we offer: - A highly competitive compensation package, including a significant equity component, ensuring you directly benefit from the company's success and your impact on critical infrastructure. - The rare opportunity to work on a cutting-edge, 3D physics-enabled platform that is preventing disasters and shaping the future of resilient infrastructure. - This role is a direct path to becoming a highly sought-after technical leader, bridging software engineering, deep technical consulting, and solution architecture for enterprise customers. - You won't just use our platform; you'll shape its evolution by feeding real-world enterprise needs directly back into the product roadmap. - Enjoy flexible hours and working arrangements designed to help you do your best work from where you work best. Neara values diversity, belonging and equal employment opportunities. We encourage individuals from all backgrounds to apply. #LI-NT1", "summaryDescription" : "Forward Deployed Engineer - USA (NYC) at Neara. Skills: Platform SDK, Platform APIs, Custom solutions, Technical consulting. Use Neara SDK. Use platform APIs", "createdAt" : "2026-06-13T23:43:46.384", "lastUpdated" : "2026-06-15T08:20:21.690", "ingestTimestamp" : "2026-06-13T23:43:46.384", "mongoId" : "6a2cafbf74d8ee00a09d7b13", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 200000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Declarative scripting", "Data manipulation", "Custom visualizations", "Custom calculations", "Advanced data analysis", "User interface design", "API integration", "Technical design", "Implementation strategies", "Configuration", "Reporting", "Data integration", "Problem-solver", "Critical thinking", "Platform SDK", "Platform APIs", "Custom solutions", "Technical consulting", "Software development", "Solution architecture", "Data analysis", "Integration", "Electricity grids", "Digital twins", "Infrastructure resilience", "Energy future", "AI", "Machine learning", "Data classification", "Scenario analysis", "Physics-enabled platform", "Git", "Node", "Npm", "Terminal", "Command line" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 550.77795, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2ca50f74d8ee00a09b47bd", "title" : "Product Manager, API", "company" : "LayerZero Labs", "industry" : "Technology", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Product Manager, API at a technology company in Vancouver, Canada, adjusted for seniority and company size." }, "location" : "Vancouver, British Columbia, Canada", "locations" : [ "Vancouver", "British Columbia", "Canada" ], "timestamp" : "2026-06-16T01:32:27.258", "fingerprint" : "b0f7a80badf5bd0ecaabb95cf57d14404ae9ea11b612678658b4458d4b18b195", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/layerzerolabs/jobs/5755720004", "externalId" : "5755720004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 6, "experienceLevel" : "Manager", "coreResponsibilities" : "Define product strategy, Develop product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning" ], "remoteFriendly" : false, "rawDescription" : "LayerZero The Future is Omnichain. Founded in 2021, LayerZero’s vision is to create a community of cross-chain developers, building dApps that are no longer constrained by individual blockchain capabilities. With LayerZero's simple, generic messaging protocol, builders will develop cross-chain dApps designed to unify the power of individual blockchains. We are funded by the best investors in the world including: a16z, Sequoia, PayPal, Binance Ventures, Coinbase Ventures, Uniswap Labs, Circle Ventures, Delphi ABOUT THE ROLE We're looking for a technical Product Manager with a computer science background, hands-on software engineering experience, and a track record of building and shipping developer-focused software products. You will own one of LayerZero's most important API products defining how developers and integrators interact with cross-chain value transfer at the protocol level. You will act as the connective tissue across engineering, design, and external partners; owning the problem space, driving clarity, and pushing execution from 0→1 and beyond. WHAT YOU’LL DO Own end-to-end product development for core LayerZero infrastructure and API surfaces - vision, roadmap, requirements, and execution. Partner closely with engineers; understand technical constraints, read code-level designs, and actively participate in architectural discussions. Drive alignment across teams by overcommunicating vision, use cases, and decisions - tailoring communication to technical and non-technical audiences. Maintain relentless clarity on user needs by continually engaging with developers, partners, and integrators; synthesize qualitative and quantitative insights. Break down ambiguous problems, validate assumptions, and prevent premature solutioning; ensure the team is solving the right problems. Advocate for design quality and usability, even for deeply technical workflows; sweat the details. Influence cross-functional stakeholders through trust, execution, and strong product judgment, not authority. Unblock engineering, drive momentum, and take ownership for outcomes end-to-end. ABOUT YOU You have a computer science degree or equivalent technical background. You have 2–5+ years of software engineering experience and can comfortably lead technical discussions. You have 3–6+ years of product management experience, ideally owning API, developer, or infrastructure products. You are crypto-native - you understand cross-chain value transfer, API security implications, and how developers build on top of blockchain infrastructure. You think like an owner; you drive work forward even without authority or perfect information. You communicate clearly, proactively, and repeatedly to ensure alignment and are able to effectively tailor your communication to different types of stakeholders. You are comfortable in fast-moving, low-process environments and thrive in ambiguity. You care deeply about quality, user experience, and execution. Equal Opportunity Employer LayerZero Labs is committed to fostering a diverse and inclusive workplace. LayerZero Labs is an equal opportunity employer and does not discriminate on the basis of race, national origin, religion, gender, gender identity, sexual orientation, marital status, protected veteran status, disability, age, or any other legally protected status.", "summaryDescription" : "Product Manager, API at LayerZero Labs. Define product strategy. Develop product roadmap", "postedDate" : "2026-06-14T19:25:10.595", "createdAt" : "2026-06-14T19:25:10.595", "lastUpdated" : "2026-06-16T01:32:27.258", "ingestTimestamp" : "2026-06-14T19:25:10.595", "mongoId" : "6a2ca50f74d8ee00a09b47bd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Roadmap planning" ], "skillCount" : 1, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 544.0239, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25145374d8ee00a00bb38b", "title" : "Network Deploy Technician", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Data Center Operations, Cloud Computing", "salary" : { "min" : 30.0, "max" : 54.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Dublin, Ohio, USA", "locations" : [ "Dublin, Ohio, USA" ], "timestamp" : "2026-06-15T22:42:41.322", "fingerprint" : "be8474a7afbbbdecfb8595f2d4b53abd00c13a9f5b37e07a7fa8ff18eadb8569", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441517/apply", "externalId" : "24b90f98-6e75-435a-9e08-dc10a01f6112", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dublin", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.0996009,-83.1135563" } ], "locationText" : "Dublin, Ohio, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Network cabling, Network hardware, Network testing, Network troubleshooting, Network documentation, Fiber optic cabling, Wireless networking, Data center operations", "majorSkills" : "Network deployment, Network installation, Network troubleshooting", "majorSkillsList" : [ "Network deployment", "Network installation", "Network troubleshooting" ], "coreResponsibilities" : "Deploy network cabling, Install network hardware, Test network infrastructure, Troubleshoot network issues, Document network configurations, Install fiber optic cabling, Deploy wireless networks, Assist with data center operations", "domainKnowledge" : "Network infrastructure; Data center operations", "domainList" : [ "network-infrastructure", "data-center-operations" ], "domainSpecificKnowledge" : [ "Network infrastructure", "Data center operations" ], "documentationSkills" : "Network documentation", "problemSolvingSkills" : "Network troubleshooting", "qualificationsBasic" : "5+ years of experience in network deployment, Experience with network cabling, Experience with network hardware installation, Experience with network testing, Experience with troubleshooting network issues, Experience with network documentation", "qualificationsPreferred" : "Experience with fiber optic cabling, Experience with wireless network deployment, Experience with data center operations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. At Amazon, we're working to be Earth's most Customer-centric Company and Earth's Best Employer. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build and expand the Cloud, this is your chance to make history. AWS is looking for a Network Deploy Technician to join our growing team within infrastructure operations. You will work with minimum supervision in a dynamic environment to drive the stability and sustainability of our next-generation networks and assist in the development of innovative ways to automate and scale our network. The position's responsibilities include scaling support of several data center locations and day to day assistance with capacity management. You will work closely with internal customers and external vendors to facilitate smooth project execution as directed by Network Leadership and Technical Project Managers. You will leverage your experience supporting large scale, enterprise class networks as well as network implementation and troubleshooting. As a Network Deploy Technician, you will work in a fast paced, collaborative environment with regular peer and customer interaction. In addition to providing management and support of AWS’ vast network infrastructure, Network Deploy Technicians establish and follow best practices and refine operational procedures. All physical requirements are expected with reasonable accommodations: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed • Working in cramped and/or elevated and/or noisy environments • Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day • Ascending and descending ladders, stairs, and gangways safely and without limitation NOTE: Amazon is not able to provide sponsorship now or in the future for these positions. Eligible candidates must have work authorization without employer intervention to be considered. NOTE: If applying for positions in Oregon (OR) and Ohio (OH), these sites are within AWS GovCloud region. Effective May 15, 2017, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens (GovCloud may NOT be accessed from outside of the United States). #DCPD_GND Key job responsibilities • Managing work and priorities through ticketing system and workflows to complete customer requests and projects • Collaborating with various stakeholders to remove project obstacles • Troubleshooting networking, routing and interconnectivity issues, including patch panels and patch cords • Specifying Power and Cooling requirements and ensuring Hardware Racking/Stacking completed for new equipment • Participating in the migration, basic configuration and rollout of new or upgraded hardware Traveling within and outside of regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided. A day in the life 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. 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. 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 (gender 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: - 1+ years of computer networking experience - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair Preferred Qualifications: - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) 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, OH, Dublin - 30.00 - 54.00 USD hourly", "summaryDescription" : "Network Deploy Technician at Amazon Data Services, Inc.. Skills: Network deployment, Network installation, Network troubleshooting. Deploy network cabling. 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Collaborate with engineering leaders; International teamwork", "projectManagementSkills" : [ "Request For Comments (RFC) process" ], "domainKnowledge" : "Scalable services; API design; Cloud infrastructure; Linux systems; Networking; Databases; IAM framework", "domainList" : [ "scalable-services", "api-design", "cloud-infrastructure", "linux-systems", "networking", "databases", "iam-framework" ], "domainSpecificKnowledge" : [ "Scalable services", "API design", "Cloud infrastructure", "Linux systems", "Networking", "Databases", "IAM framework" ], "toolProficiency" : [ "Docker", "Kubernetes", "Terraform", "AWS", "Keycloak", "Git" ], "communicationSkills" : "English communication", "continuousLearning" : "Personal development; Training; Certification", "innovationCreativity" : "Innovation; Entrepreneurial spirit", "problemSolvingSkills" : "Problem-solving", "specialRequirements" : "On-call at times", "qualificationsBasic" : "5+ years software development, Bachelor's in Computer Science, Knowledge of algorithms, Knowledge of OOP design, Knowledge of functional design, Knowledge of best-practice patterns, Experience with Python, Experience with Django, Experience with PostgreSQL, Experience with Redis, Experience with RestAPIs, Experience with Docker, Experience with Kubernetes, Experience with Terraform, Experience with AWS, Experience with IAM framework, Experience with Keycloak, Understanding of system architecture, Understanding of API design, Understanding of scalable services, Understanding of monitoring, Understanding of alerting, Understanding of external systems, Knowledge of Linux systems, Knowledge of cloud infrastructure, Knowledge of networking, Knowledge of databases, Proficient with Git", "qualificationsPreferred" : "Master's degree in Computer Science", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future. Senior API Engineer Madrid Office - Hybrid: 4 days in the office, 1 day working from home We are seeking a Senior Backend-focused Engineer to play a crucial part in our API team. In this role, you will be working on scaling our main web application and developing tooling and processes to empower Ebury product teams to ship amazing features efficiently and independently while maintaining a unified, usable experience for our customers. We’re looking for the right attitude, work ethic, and entrepreneurial spirit to ask the hard questions. To be informed by data, but be led by a desire to solve our customers' problems. You should learn by default and be ever curious. You should be programming language, framework, and tool agnostic but have strong opinions (weakly held) on the right tool to solve our biggest problems. Responsibilities: Contribute to the development of the next iteration of our platform channels, collaborating both in the development and delivery of new products but also in the improvement and maintenance of existing ones Collaborate with your team members and engineering leaders to design new services and components using our Request For Comments (RFC) process In line with our 'You build it, you own it' philosophy, we expect you to take full ownership of the products you build, embracing both their development and ongoing maintenance We look for developers that can build and run services. Therefore, you will be comfortable with containerising your code, and adding monitoring and alerting to your services Quality is important to us; we expect your code to be testable and well covered with unit and integration tests We use CI/CD pipelines and IaC tools for the deployment of services and infrastructure. From time to time, you might need to contribute to it Mentor junior engineers, fostering a culture of technical excellence, continuous learning, collaboration and innovation, while setting an example of culture and performance The position may require being on-call at times About you: Bachelor's or Master's degree in Computer Science or related field (or equivalent experience) 5+ years of software development experience, with a proven track record of building high-performance, client-facing web applications Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns Experience with Python, Django, PostgreSQL, Redis, RestAPIs Experience with Docker, Kubernetes, Terraform, AWS Experience with IAM framework and related tools like Keycloak Strong understanding of system architecture, API design, and building scalable services, including incorporating monitoring, alerting, and integrating complex external systems. Strong knowledge of Linux systems, cloud infrastructure, networking, and databases Proficient understanding of code versioning with Git Excellent communication and collaboration skills in English for seamless international teamwork What we offer: Competitive salary and benefits package Discretionary bonus based on performance Continued personal development through training and certification We are Open Source-friendly, following Open Source principles in our internal projects and encouraging contributions to external projects #LI-AT1 #LI-HYBRID About us Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally. Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 1,800+ Eburians across nearly 70 cities and we’re always looking to add to our team. At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage. The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars. We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.", "summaryDescription" : "Senior API Engineer at Ebury. Skills: API Engineering, Backend Development, Cloud Infrastructure. Contribute to platform channels. 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Our platform accelerates deployment of DSP, RF, communications, and embedded signal processing algorithms onto heterogeneous compute targets, including GPUs, FPGAs, ASICs, and edge SoCs. We also support automotive, aerospace, and semiconductor partners deploying complex algorithms onto constrained hardware with speed and rigor. We are hiring a Forward Deployed Engineer (FDE) who will be a critical bridge between our platform and real-world deployments—working directly with customers to translate complex algorithms into production-ready implementations on specialized hardware. THE ROLE Code Metal operates at the intersection of advanced algorithms and specialized hardware, where successful deployment requires both deep technical execution and close collaboration with customers. We’re looking for a Forward Deployed Engineer who can take ownership of delivering real-world outcomes: translating complex signal processing and compute workloads into performant implementations on GPUs, FPGAs, and edge systems. This is not a purely internal engineering role. You will work directly with customer teams—often in high-stakes, mission-critical environments—to understand their constraints, debug complex issues, and ensure successful deployment. You will operate with high autonomy, owning problems end-to-end from initial scoping through production delivery. REQUIREMENTS - Own end-to-end deployment of customer solutions. From initial problem framing through production implementation, you are accountable for delivering working systems on target hardware. - Work directly with customer engineers and stakeholders. Understand algorithmic requirements, system constraints, and success criteria, and translate them into actionable technical solutions. - Translate algorithms into optimized implementations. Take DSP, RF, communications, or other compute-heavy pipelines and deploy them efficiently onto GPUs, FPGAs, and other accelerators using Code Metal’s platform. - Optimize performance under real-world constraints. Profile, debug, and tune systems for latency, throughput, memory, and power across heterogeneous compute environments. - Debug across the full stack. Identify and resolve issues spanning algorithms, software, hardware, and toolchains in complex deployment environments. - Collaborate cross-functionally. Partner with product and engineering teams to improve the platform based on field learnings and unblock customer deployments. - Operate with a “whatever it takes” mindset. Navigate ambiguity, unblock critical issues, and do what is required to move deployments forward in high-stakes environments. - Build reusable patterns and playbooks. Capture learnings from deployments to improve repeatability and scale across customers. - Support on-site deployments. Travel as needed (30-75% depending on the customer) to integrate, test, and validate systems in real-world environments. - Eligible to obtain and maintain an active U.S. Top Secret security clearance PREFERRED QUALIFICATIONS: - 7+ years of experience in software engineering, systems engineering, or applied algorithm development - Strong programming ability in at least one of: Python, C++, CUDA, Matlab, VHDL, Verilog, or Rust - Hands-on experience with one or more of the following: GPU programming, FPGA development, embedded systems, or edge compute environments - Experience working with compute-intensive workloads (DSP, RF, communications, computer vision, etc.) - Demonstrated ability to optimize and deploy software on specialized or constrained hardware - Ability to debug complex systems across software and hardware boundaries - Strong problem-solving skills and ability to operate effectively in ambiguous, fast-moving environments - Comfort working directly with customers and communicating technical concepts clearly - Willingness to travel to customer sites (30-75%) - Active U.S. security clearance (Secret or Top-Secret) BENEFITS - Pay depends on experience, but we strive to be at the upper end of the salary range - Health care plan with 100% premium coverage, including medical, dental, and vision - 401k with 5% matching - Paid Time Off (uncapped vacation, plus sick and public holidays) - Flexible hybrid or remote work arrangement - Relocation assistance for qualifying employees We are an equal opportunity employer. US Citizenship may be required for certain project assignments involving security clearance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.", "summaryDescription" : "Forward Deployed Engineer at Code Metal", "createdAt" : "2026-06-14T20:12:37.315", "lastUpdated" : "2026-06-16T03:29:13.806", "ingestTimestamp" : "2026-06-14T20:12:37.315", "mongoId" : "6a2caf4f74d8ee00a09d69aa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 525.5537, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb01a74d8ee00a09d8d05", "title" : "Forward Deployed Engineer", "company" : "Beacon Software", "industry" : "Engineering", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Forward Deployed Engineer in Toronto, Canada, adjusted for the SaaS industry." }, "location" : "Toronto, Ontario", "locations" : [ "Toronto, Ontario" ], "timestamp" : "2026-06-16T01:26:01.013", "fingerprint" : "6421feece3f8fb4e48d64a69a459a8a15dbe75b31e731ae2d3e5edd18331d7ff", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/beaconsoftware/554da2b6-23f1-4209-9f3c-d64bfdcd92b9/application", "externalId" : "554da2b6-23f1-4209-9f3c-d64bfdcd92b9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "TypeScript, Python, React, SQL, LLM, Foundation models", "professionalSkills" : [ "Full-stack development", "System integration", "Workflow automation", "Customer engagement", "Business operations", "Data analysis", "Pattern recognition", "Playbook development" ], "hardSkillsList" : [ "Agentic software development", "Prompt engineering", "Workflow design", "Integration building", "System tuning", "Data lake management", "Feature store development", "Agent-readable data" ], "softSkillsList" : [ "Autonomy", "Low ego" ], "hardSkills" : [ { "name" : "Agentic software development", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Workflow design", "level" : "intermediate" }, { "name" : "Integration building", "level" : "intermediate" }, { "name" : "System tuning", "level" : "intermediate" }, { "name" : "Data lake management", "level" : "intermediate" }, { "name" : "Feature store development", "level" : "intermediate" }, { "name" : "Agent-readable data", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Autonomy" }, { "name" : "Low ego" } ], "majorSkills" : "Agentic software, Full-stack development, Customer engagement", "majorSkillsList" : [ "Agentic software", "Full-stack development", "Customer engagement" ], "coreResponsibilities" : "Embed deeply with portcos, Understand operating model from inside, Earn trust of operators, Identify workflows for agentic software, Build integrations, Build prompts, Build evals, Build workflows, Build UI surfaces, Land first agentic loop, Use core engineering platforms, Extend platforms when they fall short, Stay close to system after it ships, Watch outcomes, Tune prompts, Adjust autonomy tier, Hand off cleanly to portfolio ops, Bring patterns back to HQ, Codify what worked into playbooks, Ship playbooks to every portco, Carry GM relationship, Be technical face of Beacon, Build trust with GM, Set expectations with GM, Ensure GM sees system as leverage", "teamCollaboration" : "Embedded with portcos; Sit with GM; Sit with operators; Sit with customer success; Work with core engineering; Work with portfolio ops", "projectManagementSkills" : [ "Playbook development" ], "domainKnowledge" : "Vertical SaaS; Agentic operating system; Data lake; Feature store; Portfolio operations; Value creation; Deal sourcing; Private equity operations; Foundation models; Agentic workflow; Autonomy tier; Home-services SaaS", "domainList" : [ "vertical-saas", "agentic-operating-system", "data-lake", "feature-store", "portfolio-operations", "value-creation", "deal-sourcing", "private-equity-operations", "foundation-models", "agentic-workflow", "autonomy-tier", "home-services-saas" ], "domainSpecificKnowledge" : [ "Vertical SaaS", "Agentic operating system", "Data lake", "Feature store", "Portfolio operations", "Value creation", "Deal sourcing", "Private equity operations", "Foundation models", "Agentic workflow", "Autonomy tier", "Home-services SaaS" ], "toolProficiency" : [ "Open table formats", "Feature store" ], "communicationSkills" : "Writing; Wedge memo; GM update; Post-deployment retro; Playbook writing", "documentationSkills" : "Playbook development", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data-driven decision making", "specialRequirements" : "On-site presence required, Meaningful fraction on-site", "outcomesObjectives" : "Ship agentic software; Turn platforms into outcomes; Compress learnings into playbooks; Ship playbooks to every portco; 10x faster deployments", "qualificationsBasic" : "Full-stack TypeScript or Python, React on the frontend, SQL fluently, Comfortable in someone else’s codebase within a day, Shipped real software using foundation models, Read a P&L, Understand why a churn-save matters, Know that a 5-point improvement in support matters", "qualificationsPreferred" : "Prior FDE experience, PE exposure, Consulting exposure, M&A diligence exposure, Post-LOI integration cadence exposure, Comfort with Iceberg-based data platforms, Comfort with Snowflake, Comfort with Databricks, Comfort with event-driven systems, Built agentic systems in production, Operated agentic systems in production, Experience with evals, Experience with autonomy gating, Experience with outcome tracking", "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT BEACON SOFTWARE Beacon https://beaconsoftware.com is acquiring and operating a portfolio of vertical SaaS companies. Most private equity firms scale by adding people. We are building Beacon to scale by adding software. The thesis is simple: portfolio operations, value creation, and deal sourcing are bottlenecked by human attention, and an agentic operating system can lift that ceiling by an order of magnitude. We are building that system. It has two pieces. A sensing layer is a cross-portfolio data lake on open table formats with a feature store on top that makes the data agent-readable. An action layer runs workflows across three domains: how we run the portfolio, how we grow the portfolio, and how we acquire into it. Underneath both sits a feedback loop that captures every action and outcome with stable identifiers. Beacon has raised $550M+ from investors including General Catalyst, Lightspeed, D1 Capital, CPMG, and the family offices of the founders of Stripe, DoorDash, and Ramp. ABOUT THE ROLE Forward Deployed Engineers (FDEs) are the engineers who go where the work is. You will be embedded with one or two portfolio companies at a time — sitting with the GM, the operators, and the customer success lead — figuring out where the leverage is, and shipping agentic software directly into their operation. The platforms exist. You are the person who turns them into outcomes on a specific business. This is a Palantir-style FDE role applied to private equity operations. You will spend a meaningful fraction of your time on-site or in the portco’s tools, and the rest of your time back at Beacon HQ pulling the patterns you learned back into the platform. The best FDEs at Beacon will not just deliver for the portcos they are deployed at — they will compress what they learned into reusable playbooks that ship to every other portco in the same vertical. This is not a consulting role. We ship software, not slides. The deliverable is a running system. WHAT YOU'LL DO - Embed deeply with portcos. Spend the first few weeks at a new portco understanding the operating model from the inside: what the GM cares about, where revenue actually comes from, where the team’s time goes, where the system is leaking. Earn the trust of the operators before you start changing things. - Find the leverage. Identify the 2–3 workflows where agentic software will meaningfully change the trajectory of the business — churn-save, pricing experiments, lead enrichment, support deflection, AR follow-up, bug-fix PRs, weekly pulse, whatever the specific portco needs. Pick the wedge, not the wish list. - Ship the wedge. Build the integrations, the prompts, the evals, the workflows, and the UI surfaces required to land the first agentic loop at that portco. Use the platforms our core engineering team is building, and extend them when they fall short. - Operate the loop. Stay close to the system after it ships. Watch the outcomes. Tune the prompts. Adjust the autonomy tier as the system earns trust. Hand off cleanly to portfolio ops once the loop is stable. - Compound the learnings. Bring the patterns back to HQ. Codify what worked into playbooks that ship to every other portco in the vertical. The 11th deployment in a home-services SaaS should be 10x faster than the 1st, and that compression is your job as much as the engineers building the platform. - Carry the GM relationship. You are the technical face of Beacon to the portco GM. Build the trust, set the expectations, and make sure the GM sees the system as their leverage — not Beacon’s audit tool. WHO YOU ARE - A strong generalist engineer. You can ship full-stack TypeScript or Python on the backend, React on the frontend, SQL fluently, comfortable in someone else’s codebase within a day. You do not need to be a specialist in any one stack. You need to be the person who can land the whole thing. - Customer-obsessed. You like being in the room with the operator, the GM, the customer success lead. You take the problem they actually have, not the problem they described. You are not interested in building platforms that no one uses. - High autonomy, low ego. You will be the only Beacon engineer on the ground at a portco most of the time. You need to make calls without a committee, defend them when challenged, and change your mind when you are wrong. - Comfortable with LLM-native engineering. You have shipped real software using foundation models — not toy demos. You know how to write evals, when to fine-tune, how to keep an agentic workflow from going off the rails, and where the autonomy tier should sit for any given action class. - Operator instincts. You can read a P&L. You understand why a churn-save matters more than a feature launch this quarter. You know that a 5-point improvement in support deflection is worth more than a 50-point improvement in code-review velocity, depending on the business. - Strong written communicator. Beacon runs on writing. You will write the wedge memo, the GM update, the post-deployment retro, the playbook that ships to every other portco. If your writing is fuzzy, the system stays fuzzy. BONUS POINTS - Prior FDE experience - PE, consulting, or M&A diligence exposure, particularly the post-LOI integration cadence - Comfort with Iceberg-based data platforms (Snowflake, Databricks) and event-driven systems - Built or operated agentic systems in production, including evals, autonomy gating, and outcome tracking Our Values at Beacon Software - Humility: We acknowledge that the path to getting to the right answer involves being wrong along the way. We have strong beliefs which are weakly held. We actively seek new ideas and believe we can learn from anyone at any time. - Honesty: We are truth seeking in our approach to business problems. Business is a repeat game and we believe that human relationships generate alpha. We understand that trust is earned over a lifetime and can be lost in an instant. - Hunger: We play to win. We hold ourselves to high standards and will not be outworked. We take pride in having a deep sense of responsibility to ourselves, each other, our partners, and our customers. We believe to whom much is given much is expected. - Horizon: We seek to build a generational software company. This will take decades. We manage our expectations and those of our partners to take advantage of the 8th wonder of the world - compounding growth. How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Beacon Software uses Artificial Intelligence and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role. AI does not make hiring decisions: Every application is reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.", "summaryDescription" : "Forward Deployed Engineer at Beacon Software. Skills: Agentic software, Full-stack development, Customer engagement. Embed deeply with portcos. Understand operating model from inside", "createdAt" : "2026-06-14T21:05:19.756", "lastUpdated" : "2026-06-16T01:26:01.013", "ingestTimestamp" : "2026-06-14T21:05:19.756", "mongoId" : "6a2cb01a74d8ee00a09d8d05", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Agentic software development", "Prompt engineering", "Workflow design", "Integration building", "System tuning", "Data lake management", "Feature store development", "Agent-readable data", "Autonomy", "Low ego", "Agentic software", "Full-stack development", "Customer engagement", "System integration", "Workflow automation", "Business operations", "Data analysis", "Pattern recognition", "Playbook development", "Vertical SaaS", "Agentic operating system", "Data lake", "Feature store", "Portfolio operations", "Value creation", "Deal sourcing", "Private equity operations", "Foundation models", "Agentic workflow", "Autonomy tier", "Home-services SaaS", "Open table formats" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 524.5058, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8c9574d8ee00a0975e0e", "title" : "Forward Deployed Engineer", "company" : "Glade. ai", "industry" : "Engineering", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Forward Deployed Engineer in Menlo Park, United States, adjusted for the Legal industry and company size." }, "location" : "Menlo Park", "locations" : [ "Menlo Park" ], "timestamp" : "2026-06-15T23:52:45.491", "fingerprint" : "955dd299c586b81b81443e66b882585b6d25a2185db87a35be107de1da719779", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/glade/ceff3696-4639-4a7e-bfbf-1bb0f029ee94/application", "externalId" : "ceff3696-4639-4a7e-bfbf-1bb0f029ee94", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Menlo Park", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4519671,-122.1779920" } ], "locationText" : "Menlo Park, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "TypeScript, React, Node, AI", "professionalSkills" : [ "Client-facing", "Production code", "Agent development", "Prompt engineering", "Model integration", "Rapid prototyping", "AI-assisted coding", "Diagnostic tools", "Full stack", "Pragmatic code", "Product judgment", "Data modeling", "Architecture" ], "hardSkillsList" : [ "Agent development", "Prompt engineering", "Model integration", "Evaluation frameworks", "Deployment at scale", "AI-assisted coding", "Workflow mapping", "Production rollout", "Automation pipelines", "Edge case handling", "Quality measurement", "Workflow-specific benchmarks", "Diagnostic tool building", "Best practice capture", "Internal playbooks", "State management" ], "hardSkills" : [ { "name" : "Agent development", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Model integration", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Deployment at scale", "level" : "intermediate" }, { "name" : "AI-assisted coding", "level" : "intermediate" }, { "name" : "Workflow mapping", "level" : "intermediate" }, { "name" : "Production rollout", "level" : "intermediate" }, { "name" : "Automation pipelines", "level" : "intermediate" }, { "name" : "Edge case handling", "level" : "intermediate" }, { "name" : "Quality measurement", "level" : "intermediate" }, { "name" : "Workflow-specific benchmarks", "level" : "intermediate" }, { "name" : "Diagnostic tool building", "level" : "intermediate" }, { "name" : "Best practice capture", "level" : "intermediate" }, { "name" : "Internal playbooks", "level" : "intermediate" }, { "name" : "State management", "level" : "intermediate" } ], "majorSkills" : "AI systems, Agentic workflows, Client deployments", "majorSkillsList" : [ "AI systems", "Agentic workflows", "Client deployments" ], "coreResponsibilities" : "Embed with law firm clients, Map client workflows, Identify unsolved value, Own deployments end-to-end, Act as primary contact, Design production AI systems, Integrate systems into client environments, Build and evolve AI agents, Measure quality against benchmarks, Debug and resolve issues fast, Make sure things keep running, Feed insights back to product team, Capture best practices, Make future deployments faster, Move across full stack", "teamCollaboration" : "Client relationships; Product team feedback; Internal playbooks", "projectManagementSkills" : [ "Scoping conversations", "Go-live planning", "Production rollout" ], "domainKnowledge" : "Legal practice workflows; Legal casework; Legal environments", "domainList" : [ "legal-practice-workflows", "legal-casework", "legal-environments" ], "domainSpecificKnowledge" : [ "Legal practice workflows", "Legal casework", "Legal environments" ], "toolProficiency" : [ "AI tools" ], "communicationSkills" : "Explain model integration; Earn client trust; Clarity to engineering team", "documentationSkills" : "Document generation agents; Internal playbooks", "innovationCreativity" : "Prototype development; AI-assisted coding", "problemSolvingSkills" : "Debug issues fast; Resolve issues fast; Troubleshoot live environments", "qualificationsBasic" : "TypeScript / React / Node experience, Hands-on AI experience, 0-to-1 build track record, Exceptional communication skills", "qualificationsPreferred" : "AI tools used effectively", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "FORWARD DEPLOYED ENGINEER Location: Menlo Park, CA (Hybrid) Employment Type: Full-Time Compensation: Competitive salary + equity ABOUT GLADE.AI http://Glade.ai Glade builds AI-powered software for law firms — automating the most painful, high-stakes workflows in legal practice. Our clients depend on us every day for real casework: filings, case management, document generation, and the dozens of manual steps in between that attorneys and paralegals still do by hand. THE OPPORTUNITY This is a highly agentic, client-facing engineering role at the intersection of deep technical work and client relationships. You'll write production code, deploy AI systems into live legal environments, and own client outcomes end-to-end. You're not a support function. You're not an implementation consultant. You're the engineer who makes Glade actually work — inside the firm, in the messiness of the real world, not just in a clean dev environment. WHAT YOU’LL DO - Embed directly with law firm clients — sit with paralegals and attorneys, map their workflows, and figure out where the highest concentration of unsolved value lives before you write a line of code - Own deployments end-to-end — from the first scoping conversation through go-live and production rollout, acting as the primary point of contact for the people who depend on the system daily - Design and ship production AI systems — document generation agents, agentic workflows, automation pipelines — integrated into client environments and built to handle the edge cases of real legal work - Build and evolve AI agents — prompt engineering, model integration, rapid prototyping with AI-assisted coding tools, and eval loops that measure quality against workflow-specific benchmarks - Debug and resolve issues fast — in live client environments, with real stakes. You build diagnostic tools, ship fixes, and make sure things keep running - Feed insights back to the product team — what you discover in the field shapes the roadmap. You're a core feedback loop between clients and what gets built next - Capture best practices in internal playbooks to make every future deployment faster and smarter - Move across the full stack — frontend, backend, whatever it takes to ship WHAT WE’RE LOOKING FOR - Strong engineering fundamentals, comfortable in the field — we're a TypeScript / React / Node stack; you write real code and own it in production, and you're just as at ease in a standup with attorneys and paralegals as you are debugging a live case management environment - Hands-on AI experience — prompt engineering, agent development, evaluation frameworks, and deployment at scale — not just familiarity with the landscape. You want to deploy AI workers into real law firms and watch them transform how firms operate - A 0-to-1 build track record — you've shipped production software in ambiguous environments, you write clean pragmatic code, and you don't let perfect get in the way of done. Our clients have real deadlines; so do we - Exceptional communication — you can explain a model integration to a paralegal who's never heard of an API, earn their trust in the same conversation, and bring that same clarity back to the engineering team HOW TO STAND OUT IN THIS INTERVIEW APPLICATION PROCESS: Put yourself in our shoes. We get over 300+ applicants / week. We want to spend time with the right candidates. During your interview process you will meet at least 3 other engineers and managers within Glade. So putting your best foot forward by building a project related to Glade—a feature, workflow, prototype, or application that shows Glade solving a real legal workflow—is the fastest way to being the right candidate. You are the right candidate if you: - Solve a real or plausible problem for law firms, legal teams, or their clients. - Demonstrate strong product judgment. We want to understand why you built what you built, the tradeoffs you considered, and how you decided what was worth prioritizing. - Show thoughtful engineering. We care about architecture, state management, data modeling, edge cases, and how your solution could evolve as part of a production product. - Present your work professionally. Please host it, share a repository, or provide a deployed link so we can evaluate not only the functionality, but also how you package, communicate, and ship your work. You are welcome to use AI tools throughout the process—in fact, we expect great engineers to leverage them effectively. However, the final result should not feel like a generic AI-generated demo. It should reflect your taste, judgment, and ability to turn an ambiguous problem into a useful product. COMPENSATION & BENEFITS - Competitive salary + equity - High-energy in-person culture with an office built for focus, fitness, and fun — gym, yoga studio, dog park, free EV charging, and regular in-office events included - \uD83C\uDFE5 Comprehensive healthcare - \uD83C\uDF7D Lunch, snacks, and team outings - \uD83D\uDCBB Latest tech — and as many monitors as you can fit on a desk - \uD83E\uDD16 AI tokens covered — use the tools that make you fast", "summaryDescription" : "Forward Deployed Engineer at Glade. ai. Skills: AI systems, Agentic workflows, Client deployments. Embed with law firm clients. Map client workflows", "createdAt" : "2026-06-14T19:11:58.144", "lastUpdated" : "2026-06-15T23:52:45.491", "ingestTimestamp" : "2026-06-14T19:11:58.144", "mongoId" : "6a2c8c9574d8ee00a0975e0e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Agent development", "Prompt engineering", "Model integration", "Evaluation frameworks", "Deployment at scale", "AI-assisted coding", "Workflow mapping", "Production rollout", "Automation pipelines", "Edge case handling", "Quality measurement", "Workflow-specific benchmarks", "Diagnostic tool building", "Best practice capture", "Internal playbooks", "State management", "AI systems", "Agentic workflows", "Client deployments", "Client-facing", "Production code", "Rapid prototyping", "Diagnostic tools", "Full stack", "Pragmatic code", "Product judgment", "Data modeling", "Architecture", "Scoping conversations", "Go-live planning", "Legal practice workflows", "Legal casework", "Legal environments", "AI tools" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 523.1176, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c74f874d8ee00a0935c26", "title" : "Forward Deployed Engineer", "industry" : "Core Team", "salary" : { "min" : 145000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Forward Deployed Engineer in San Francisco, USA, adjusted for the technology industry and onsite work mode." }, "location" : "San Fransisco", "locations" : [ "San Fransisco" ], "timestamp" : "2026-06-16T03:23:22.090", "fingerprint" : "489f27081a206a8ecb0542e2b2eae183aebf3e8fa620b12b8c99a5ad32c1a841", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/salespatriot/53626ad9-af69-4ee1-a947-ba2ef4a433a7/application", "externalId" : "53626ad9-af69-4ee1-a947-ba2ef4a433a7", "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", "technicalSkills" : "TypeScript, JavaScript, React, Svelte, Next, SQL, Postgres", "professionalSkills" : [ "Full-stack development", "Organizational politics", "Client relations" ], "hardSkillsList" : [ "Full-stack development", "Client relations" ], "softSkillsList" : [ "Grinder", "Comfortable with ambiguity", "Personable", "Low ego", "Intellectual honesty" ], "hardSkills" : [ { "name" : "Full-stack development", "level" : "intermediate" }, { "name" : "Client relations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Grinder" }, { "name" : "Comfortable with ambiguity" }, { "name" : "Personable" }, { "name" : "Low ego" }, { "name" : "Intellectual honesty" } ], "coreResponsibilities" : "Plant yourself inside customer's operation, Map how company operates, Learn breakpoints choking growth, Configure automations within SP Studio, Build trust and confidence, Take ownership of customer outcome, Find and kill pressing problems, Lead org-wide scaling", "domainKnowledge" : "Supply-chain operations; Industrial supply-chain", "domainList" : [ "supply-chain-operations", "industrial-supply-chain" ], "domainSpecificKnowledge" : [ "Supply-chain operations", "Industrial supply-chain" ], "problemSolvingSkills" : "Taking unknown problem; Sinking teeth in; Coming up with plan", "specialRequirements" : "Fly out to SF/Warsaw HQ", "outcomesObjectives" : "SalesPatriot is operating system", "qualificationsBasic" : "Ship fast, Show full-stack project, Knowledge of SQL databases, Proficiency in TypeScript, Proficiency in JavaScript, Proficiency in frontend library", "qualificationsPreferred" : "Co-living", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "THE MISSION America's industrial base runs on systems built in the 1980s. Billions of dollars in critical components (F-35 parts, industrial assemblies, electronics, bolts, and hoses) still move through email threads, excel sheets, and disconnected ERPs. We're replacing that with an AI-native platform that makes defense, aerospace, and industrial supply-chain operations nearly autonomous. Faster quoting. Faster procurement. Full visibility. Real operational intelligence for the companies our nation depends on. QUICK FACTS - YC W25 company. Top 5% growth in batch - Raised $10M+ on a hyper-growth trajectory. - Backed by Paul Graham, SV Angel, Pear VC, and CRV - Team of 17 Co-live in our Warsaw & SF Hacker Houses - 7 figure ARR transacting ~50M a week through our system THE JOB 1. Go. Fly out and plant yourself inside the customer's operation. Weekdays are onsite (Wisconsin, New York, Miami, Los Angeles); weekends we regroup at the SF HQ to debrief and keep building. 2. Understand. Map how the company actually operates, from sales and supply chain teams to executives and CEOs. Learn the breakpoints choking their growth and speed. 3. Implement. Configure automations within SP Studio tooling so the platform accurately reflects the customer's needs. Build trust and confidence in SalesPatriot. 4. Iterate. Take full ownership of the customer's outcome. Keep finding and killing their most pressing problems, leading org-wide scaling, until SalesPatriot is the operating system their business runs on. WHAT WE’RE LOOKING FOR - Absolute grinder. Interested in co-living (though not required). - Comfortable with ambiguity and rapid change. - Track record of shipping fast. - Full-stack beyond code: comfortable jumping between frontend, backend, and organizational politics — earning trust with procurement specialists while navigating executive priorities and IT constraints. - Motivated by taking an unknown problem, sinking your teeth in, and coming up with a plan of attack. - Proficiency in TypeScript, JavaScript, and at least one frontend library (React, Svelte, Next etc). - Be ready to show us at least one full-stack project you've shipped (GitHub repo / web app / Loom demo video). - Knowledge of SQL databases, preferably Postgres. - Personable: clients trust you, like you, and look forward to your updates. You handle the conversation and the code. - Low ego, curiosity, and intellectual honesty — focused on outcomes, not \"being right.\" THE PROCESS Call with founder → 1hr technical call with an engineer → fly out to SF/Warsaw HQ (on us) → offer.", "summaryDescription" : "Forward Deployed Engineer. Plant yourself inside customer's operation. Map how company operates", "createdAt" : "2026-06-14T20:16:52.885", "lastUpdated" : "2026-06-16T03:23:22.090", "ingestTimestamp" : "2026-06-14T20:16:52.885", "mongoId" : "6a2c74f874d8ee00a0935c26", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Full-stack development", "Client relations", "Grinder", "Comfortable with ambiguity", "Personable", "Low ego", "Intellectual honesty", "Organizational politics", "Supply-chain operations", "Industrial supply-chain" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 520.17554, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3057ecf292fd229cf3ee44", "title" : "Digital Applications Administrator (Applications deployed on RedHat OpenShift)", "company" : "VAM Systems", "industry" : "Information Technology And Services", "salary" : { "min" : 260000.0, "max" : 390000.0, "currency" : "QAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Digital Applications Administrator in Doha, Qatar, adjusted for the technology industry and mid-level experience." }, "location" : "Doha, QA", "locations" : [ "Doha", "QA" ], "timestamp" : "2026-06-16T07:22:30.110", "fingerprint" : "9ada2c976253855e467b7df253d2bc926dfa7d8124fc5754d6ed0fa0e8d49e89", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/VAMSystems/744000132182667-digital-applications-administrator-applications-deployed-on-redhat-openshift-", "externalId" : "744000132182667", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Doha", "country" : "Qatar", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.3108807,51.5081812" } ], "locationText" : "Doha, Qatar", "employmentType" : "FULL_TIME", "experienceMinYears" : 15, "experienceMaxYears" : 99, "experienceLevel" : "executive", "technicalSkills" : "Kubernetes, Docker, Helm charts, DevOps pipelines, Jenkins, GitLab, Dynatrace, IBM ACE, REST APIs, SOAP APIs, API Gateways, Kafka, IBM MQ, AppDynamics, ELK stack, HSTS, SSL hardening, IBM API CONNECT, DataPower gateway, SSL/TLS, ESQL, Message flows, Linux administration, CP4I, OpenShift operators, Integration platforms, Platform patching, CP4D, Platform administration, Storage integration, IAM, Service monitoring, IBM Data Power, Multi-Protocol Gateway, XML processing, JSON processing, AAA policies, Certificate management, Redis, RedHat Linux, Apache, Shell scripting", "professionalSkills" : [ "API security", "Integration troubleshooting", "Message tracking", "Environment promotion", "Certificate management", "Performance tuning", "Client connectivity", "Linux administration", "OS patching", "Configuration changes", "Incident handling", "System performance", "Business Continuity" ], "hardSkillsList" : [ "API security policies", "Message flows", "Integration troubleshooting", "Message tracking", "Platform patching", "Storage integration", "Service monitoring", "Certificate management", "Performance tuning", "Client connectivity troubleshooting" ], "hardSkills" : [ { "name" : "API security policies", "level" : "intermediate" }, { "name" : "Message flows", "level" : "intermediate" }, { "name" : "Integration troubleshooting", "level" : "intermediate" }, { "name" : "Message tracking", "level" : "intermediate" }, { "name" : "Platform patching", "level" : "intermediate" }, { "name" : "Storage integration", "level" : "intermediate" }, { "name" : "Service monitoring", "level" : "intermediate" }, { "name" : "Certificate management", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Client connectivity troubleshooting", "level" : "intermediate" } ], "majorSkills" : "RedHat OpenShift, DevOps, API Management, System Administration", "majorSkillsList" : [ "RedHat OpenShift", "DevOps", "API Management", "System Administration" ], "coreResponsibilities" : "Support services, Monitor services, Troubleshoot services, Support logs, Monitor logs, Troubleshoot logs, Patch OS, Harden OS, Patch Applications, Harden Applications, Manage deployments, Manage configuration changes, Manage incident handling, Manage performance tuning, Ensure high availability, Ensure best system performance, Comply with defined SLAs, Maintain replicated system, Maintain Disaster Recovery", "domainKnowledge" : "ITIL processes; API security; message brokers; integration platforms; Disaster Recovery", "domainList" : [ "itil-processes", "api-security", "message-brokers", "integration-platforms", "disaster-recovery" ], "domainSpecificKnowledge" : [ "ITIL processes", "API security", "message brokers", "integration platforms", "Disaster Recovery" ], "toolProficiency" : [ "Kubernetes", "Docker", "Helm charts", "Jenkins", "GitLab", "Dynatrace", "AppDynamics", "ELK stack", "IBM API CONNECT", "DataPower gateway", "IBM ACE", "IBM MQ", "CP4I", "CP4D", "IBM Data Power", "RedHat Linux", "Apache" ], "documentationSkills" : "Audit documentation", "problemSolvingSkills" : "Troubleshoot services; Troubleshoot logs; Integration troubleshooting; Client connectivity troubleshooting", "specialRequirements" : "Joining time frame 2 weeks, Joining time frame 1 month", "outcomesObjectives" : "Comply with defined SLAs", "qualificationsBasic" : "6-8 years of experience", "qualificationsPreferred" : "Redis cluster preferred, Redis persistence preferred, Redis failover preferred, Redis performance tuning preferred, Redis client connectivity troubleshooting preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are currently looking Digital Applications Administrator (Applications deployed on RedHat OpenShift) for our Qatar operations with the following terms & conditions. Skills • Kubernetes, Docker, Helm charts, DevOps pipelines (Jenkins/GitLab), monitoring tools (Dynatrace) • IBM ACE, REST/SOAP APIs, API Gateways, message brokers (Kafka/MQ) • Dynatrace, AppDynamics, ELK stack, ITIL processes • HSTS, SSL hardening, vulnerability scanners, audit documentation • IBM API CONNECT: API security policies, DataPower gateway, REST/SOAP APIs, SSL/TLS, environment promotion • IBM APP CONNECT: IBM ACE, ESQL, message flows, REST/SOAP services, integration troubleshooting • IBM MQ: Queue manager HA, channel security, SSL/TLS, message tracking, Linux administration • CP4I: OpenShift, operators, integration platforms, DevOps pipelines, platform patching • CP4D: OpenShift, platform administration, storage integration, IAM, service monitoring • IBM Data Power: Multi-Protocol Gateway, XML/JSON processing, AAA policies, certificate management, API security • Redis: Preferred Skills Redis cluster, persistence, failover, performance tuning, client connectivity troubleshooting • RedHat Linux and Apache • Support, monitor, and troubleshoot services and logs for servers and applications • Shell scripting • Patching and hardening of OS and Applications • Manage deployments, configuration changes, incident handling, and performance tuning across channels • Ensure high availability and best system performance • Comply with defined SLAs from all perspectives (Operations, Security Policies and Audit Findings) • Maintaining a replicated system in Disaster Recovery for Business Continuity Experience Required:6-8 years of experience Joining time frame: 2 weeks (maximum 1 month)", "summaryDescription" : "Digital Applications Administrator (Applications deployed on RedHat OpenShift) at VAM Systems. Skills: RedHat OpenShift, DevOps, API Management, System Administration. Support services. Monitor services", "postedDate" : "2026-06-15T11:57:59.000", "createdAt" : "2026-06-15T23:34:00.835", "lastUpdated" : "2026-06-16T07:22:30.110", "ingestTimestamp" : "2026-06-15T23:34:00.835", "mongoId" : "6a3057ecf292fd229cf3ee44", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "API security policies", "Message flows", "Integration troubleshooting", "Message tracking", "Platform patching", "Storage integration", "Service monitoring", "Certificate management", "Performance tuning", "Client connectivity troubleshooting", "RedHat OpenShift", "DevOps", "API Management", "System Administration", "API security", "Environment promotion", "Client connectivity", "Linux administration", "OS patching", "Configuration changes", "Incident handling", "System performance", "Business Continuity", "ITIL processes", "message brokers", "integration platforms", "Disaster Recovery", "Kubernetes", "Docker", "Helm charts", "Jenkins", "GitLab", "Dynatrace", "AppDynamics", "ELK stack", "IBM API CONNECT", "DataPower gateway", "IBM ACE", "IBM MQ", "CP4I", "CP4D", "IBM Data Power", "RedHat Linux", "Apache" ], "skillCount" : 44, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 512.8973, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30764ef292fd229c018297", "title" : "Forward Deployed AI Engineer", "company" : "Arize AI", "industry" : "SaaS", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Forward Deployed AI Engineer in the San Francisco Bay Area, adjusted for the technology industry and company size." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T11:39:51.083", "fingerprint" : "c75c7d1d5d83d789aa1c1e2545997951eb2c7cf15b362c5ebb433d9988fb7f17", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/arizeai/jobs/6030953004", "externalId" : "6030953004", "industryFunction" : { }, "structuredLocations" : [ { "state" : "California", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, Java, TypeScript, AWS, GCP, Azure, Docker, Kubernetes", "professionalSkills" : [ "Business acumen", "Technical solutions", "Client relationships" ], "hardSkillsList" : [ "MLOps pipelines", "Generative AI development", "Cloud platform management", "Container orchestration" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "MLOps pipelines", "level" : "intermediate" }, { "name" : "Generative AI development", "level" : "intermediate" }, { "name" : "Cloud platform management", "level" : "intermediate" }, { "name" : "Container orchestration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "AI observability, GenAI evaluation, Software development, Cloud technologies", "majorSkillsList" : [ "AI observability", "GenAI evaluation", "Software development", "Cloud technologies" ], "coreResponsibilities" : "Design GenAI observability programs, Implement GenAI observability programs, Scale GenAI observability programs, Lead technical discussions, Translate business priorities, Build custom integrations, Build custom tooling, Build custom workflows, Manage customer engagements, Drive projects from scoping, Drive projects through delivery, Define best practices, Scale best practices, Define technical playbooks, Scale technical playbooks, Define delivery methodologies, Scale delivery methodologies", "teamCollaboration" : "Enterprise AI teams; Customer stakeholders; Sales teams; CS teams; Product teams; Engineering teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Generative AI; AI Engineering observability; AI evaluation platform", "domainList" : [ "generative-ai", "ai-engineering-observability", "ai-evaluation-platform" ], "domainSpecificKnowledge" : [ "Generative AI", "AI Engineering observability", "AI evaluation platform" ], "toolProficiency" : [ "Docker", "Kubernetes" ], "communicationSkills" : "Technical discussions; Business outcomes; Technical implementation", "problemSolvingSkills" : "Troubleshoot AI systems; Optimize AI systems", "specialRequirements" : "Based in San Francisco Bay Area/PST", "outcomesObjectives" : "Deliver technical solutions; Deliver results on timelines; Build lasting client relationships; Ship faster with confidence; Expand customer impact", "qualificationsBasic" : "2-5 years software development, Comfortable in Python, Java, TypeScript, Experience with public cloud platforms, Experience with Docker and Kubernetes", "qualificationsPreferred" : "MLOps pipelines experience, Generative AI applications experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity We are seeking an experienced Forward Deployed AI Engineer to work directly with client engineering teams, manage multiple concurrent projects, and drive technical solutions that extend beyond our core platform offering. This is a client-facing, hands-on technical role that combines deep AI expertise with business acumen to deliver results on tight timelines while building lasting client relationships. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area/PST time zone. What You’ll Do Partner directly with enterprise AI teams to design, implement, and scale production-grade GenAI observability and evaluation programs. Lead technical discussions with customer stakeholders ranging from engineers to senior executives, translating business priorities into scalable technical solutions. Build custom integrations, tooling, and workflows that extend the Arize platform to meet customer-specific requirements. Manage multiple concurrent customer engagements, driving projects from scoping through delivery while maintaining a high bar for technical execution and customer experience. Collaborate cross-functionally with Sales, CS, Product, and Engineering teams to shape implementation strategy, influence product direction, and expand customer impact. Help define and scale best practices, technical playbooks, and delivery methodologies for the growing Forward Deployed Engineering team. What We’re Looking For Software Development: 2-5 years of hands-on software development experience with strong technical foundations. We work extensively in Python, Java, and TypeScript, and expect candidates to be comfortable working in at least two of those languages. ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating on Generative AI applications in production environments.. Cloud Technologies: Experience working with public cloud platforms (e.g., AWS, GCP, Azure) as well as containerization and orchestration technologies (e.g., Docker and Kubernetes). Communication: Excellent communication skills with the ability to work effectively across both technical and business audiences. You should be comfortable engaging with senior executives on business outcomes and metrics, collaborating with engineers on technical implementation details, and translating seamlessly between the two. Project Management: Proven ability to manage multiple client engineering engagements simultaneously and deliver high-quality technical outcomes under demanding timelines. Adaptability: Comfortable operating in fast-paced startup or consulting environments, with the ability to navigate diverse client organizations, technical stacks, and evolving priorities. Passion for AI: We live and breathe AI at Arize. The strongest candidates are genuinely excited about the space and energized by staying at the forefront of rapidly evolving AI technologies. The estimated annual salary and variable compensation for this role is between $125,000 - $175,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup", "summaryDescription" : "Forward Deployed AI Engineer at Arize AI. Skills: AI observability, GenAI evaluation, Software development, Cloud technologies. Design GenAI observability programs. Implement GenAI observability programs", "postedDate" : "2026-06-16T01:18:04.955", "createdAt" : "2026-06-16T01:18:04.955", "lastUpdated" : "2026-06-16T11:39:51.083", "ingestTimestamp" : "2026-06-16T01:18:04.955", "mongoId" : "6a30764ef292fd229c018297", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "MLOps pipelines", "Generative AI development", "Cloud platform management", "Container orchestration", "Adaptability", "AI observability", "GenAI evaluation", "Software development", "Cloud technologies", "Business acumen", "Technical solutions", "Client relationships", "Project management", "Generative AI", "AI Engineering observability", "AI evaluation platform", "Docker", "Kubernetes" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 512.82526, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca34c74d8ee00a09ab290", "title" : "Forward Deployed Engineer", "company" : "Sitreps", "industry" : "Government", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Onsite", "locations" : [ "Onsite" ], "timestamp" : "2026-06-15T09:27:22.090", "fingerprint" : "4f8b77b1ac6ef8bfa53d604f4eed5565065be402406dbad5ba3b7d2a893edc41", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/sitrepsllc/jobs/4093418009", "externalId" : "4093418009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Pittsburgh", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.4406968,-80.0025666" }, { "workMode" : "remote" } ], "locationText" : "Arlington, Virginia, United States; Pittsburgh, Pennsylvania, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "technicalSkills" : "SQL, Java, TypeScript, React", "professionalSkills" : [ "Software development", "Customer engagement", "Product development", "System architecture" ], "hardSkillsList" : [ "Software development", "Full lifecycle development", "Prototyping" ], "softSkillsList" : [ "Customer-obsessed", "Problem solver", "Judgment", "Flexibility" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Full lifecycle development", "level" : "intermediate" }, { "name" : "Prototyping", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer-obsessed" }, { "name" : "Problem solver" }, { "name" : "Judgment" }, { "name" : "Flexibility" } ], "majorSkills" : "Software engineering, Customer interaction, New capability development", "majorSkillsList" : [ "Software engineering", "Customer interaction", "New capability development" ], "coreResponsibilities" : "Conduct customer visits, Understand user pain points, Contribute to full lifecycle, Develop new features, Build new capabilities, Iterate rapidly, Unlock value for users, Write clean code, Write testable code, Write maintainable code, Listen to user challenges, Dig into pain points, Scope new initiatives, Architect new initiatives, Deliver new initiatives, Scope prototypes, Architect prototypes, Deliver prototypes, Build prototypes, Ship prototypes, Assess solution gaps, Prioritize solution gaps, Use user feedback", "teamCollaboration" : "Face-to-face collaboration; Partner with product managers; Partner with designers", "domainKnowledge" : "Defense technology; Acquisition decisions; Supply chain; Science and technology; Production; Sustainment; Logistics; Modernization; AI-powered applications; Data enablement; National security", "domainList" : [ "defense-technology", "acquisition-decisions", "supply-chain", "science-and-technology", "production", "sustainment", "logistics", "modernization", "ai-powered-applications", "data-enablement", "national-security" ], "domainSpecificKnowledge" : [ "Defense technology", "Acquisition decisions", "Supply chain", "Science and technology", "Production", "Sustainment", "Logistics", "Modernization", "AI-powered applications", "Data enablement", "National security" ], "innovationCreativity" : "Build net-new capabilities; Build something from scratch", "problemSolvingSkills" : "Relentless problem solver; Prioritize outcomes; Make smart tradeoffs", "specialRequirements" : "50% travel", "outcomesObjectives" : "Deliver measurable value", "qualificationsBasic" : "U.S. Citizenship required, Bachelor's degree or equivalent experience, 1+ years software development experience, Ability to work independently", "qualificationsPreferred" : "Active U.S. security clearance, Startup experience, Federally accredited development environments, Customer-facing experience, Consulting experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Forward Deployed Engineer Location: DC Metro Area Work Model: On-site with customer (50% travel) Compensation: $155,000–$225,000 base salary + 30% Bonus + Equity About the Client We are a defense technology company on a mission to modernize how the U. S. military makes acquisition decisions — replacing slow, manual processes with intelligent, software-driven solutions. Our core platform serves Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-powered applications and best-in-class data, enabling teams to more rapidly imagine, develop, and field critical capabilities. Across the national security community and every branch of the armed forces, our tools are trusted to drive faster, more informed acquisition decisions. About the Role We are looking for self-motivated, customer-obsessed software engineers to join our Forward Deployed Engineering team. In this role, you will be directly responsible for building differentiated, net-new capabilities — from zero to one — working side by side with customers in the field. You are driven by the urgency of meaningful problems and energized by the opportunity to build something from scratch. You take ownership seriously, value face-to-face collaboration with end users, and are constantly pushing the limits of what software can do. To excel here, you need to be a relentless problem solver with sharp judgment when it comes to balancing competing priorities and making smart tradeoffs. You thrive in ambiguous environments, prioritize outcomes over process, and stay flexible when circumstances change. Above all, you are focused on delivering real, measurable value to the people you serve. This is a full-time position based out of Arlington, VA, Pittsburgh, PA, or Remote. Up to 50% travel may be required. Responsibilities Conduct on-site customer visits to identify and deeply understand user pain points Contribute to the full software development lifecycle for new features and capabilities Iterate rapidly to progressively unlock value for end users Write clean, testable, and maintainable code In a typical week, you might: Spend a day on-site with users, listening to their challenges and digging into the underlying pain points Partner with product managers and designers to scope, architect, and deliver new product initiatives and prototypes Build and ship working, customer-facing prototypes Assess and prioritize the most critical gaps in solutions currently under development, using direct user feedback to guide iteration Fail fast, learn quickly, and get back to building Requirements Must-Haves U. S. Citizenship is required. Bachelor's degree in Computer Science, Software Engineering, or a related field — or equivalent professional experience 1+ years of front-end or back-end software development experience (SQL, Java, and/or TypeScript/React) Ability to work independently with minimal supervision Strong desire to work in a fast-paced, high-stakes technical environment Nice-to-Haves Active U. S. security clearance, or eligibility and willingness to obtain one with company sponsorship Experience in a startup or entrepreneurial setting Familiarity with federally accredited software development environments Background in a customer-facing or consulting capacity Why This Role We believe past performance is the clearest signal of future success. If you're a self-starter who thrives on solving complex problems and wants to make a tangible impact on national security, we'd love to talk.", "summaryDescription" : "Forward Deployed Engineer at Sitreps. Skills: Software engineering, Customer interaction, New capability development. Conduct customer visits. Understand user pain points", "postedDate" : "2026-06-14T05:02:38.283", "createdAt" : "2026-06-14T05:02:38.283", "lastUpdated" : "2026-06-15T09:27:22.090", "ingestTimestamp" : "2026-06-14T05:02:38.283", "mongoId" : "6a2ca34c74d8ee00a09ab290", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "Full lifecycle development", "Prototyping", "Customer-obsessed", "Problem solver", "Judgment", "Flexibility", "Software engineering", "Customer interaction", "New capability development", "Customer engagement", "Product development", "System architecture", "Defense technology", "Acquisition decisions", "Supply chain", "Science and technology", "Production", "Sustainment", "Logistics", "Modernization", "AI-powered applications", "Data enablement", "National security" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 511.07883, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ce86a74d8ee00a0a6aa5d", "title" : "Forward Deployed Engineer", "company" : "NewForm", "industry" : "Engineering", "salary" : { "min" : 120000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-15T12:07:15.062", "fingerprint" : "ec7a3a4ae0611fd75fd6e56f724ab1f4b00d04e24a899596845fc00a807790c8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/newform/273b2bf4-a4c8-4a25-8340-b87807b97d0c/application", "externalId" : "273b2bf4-a4c8-4a25-8340-b87807b97d0c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "TypeScript, Next.js, React, LLM APIs, OpenAI, Anthropic, Gemini", "professionalSkills" : [ "Solutions engineering", "Client-facing", "Deployment" ], "hardSkillsList" : [ "Backend development" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Backend development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Forward-Deployed Engineering, Software development, Client integrations", "majorSkillsList" : [ "Forward-Deployed Engineering", "Software development", "Client integrations" ], "coreResponsibilities" : "Embed with services pods, Build software operators need, Own a roadmap, Observe client work, Embed with pods, Understand work end to end, Build into Framework, Build bespoke solutions, Own technical lifecycle, Onboard clients, Integrate ad accounts, Reconcile data, Build custom dashboards, Build closing tooling, Translate field signal, Surface patterns, Run own roadmap, Ship useful tooling, Ship client tooling, Identify patterns, Build repeatable runbooks, Define FDE function", "teamCollaboration" : "Services pods; Strategists; Creators; Media buyers; Creative Intelligence Leads; Core engineering team; Leadership", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Creative supply chain; Paid advertising; Statistical testing; Creative ontology; Ad account integrations; Platform APIs", "domainList" : [ "creative-supply-chain", "paid-advertising", "statistical-testing", "creative-ontology", "ad-account-integrations", "platform-apis" ], "domainSpecificKnowledge" : [ "Creative supply chain", "Paid advertising", "Statistical testing", "Creative ontology", "Ad account integrations", "Platform APIs" ], "toolProficiency" : [ "Framework" ], "communicationSkills" : "Hold conversation; Write PR", "innovationCreativity" : "Side projects", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "In-office 4 days/week, Light travel, NYC-local travel, Occasional client visits, Authorized to work in US, No visa sponsorship", "outcomesObjectives" : "Ship first useful tooling; Ship meaningful client tooling; Shipped patterns into Framework; Built repeatable deployment runbooks; Defined FDE function", "qualificationsBasic" : "3+ years building software, Client-facing experience, Deployment experience, Solutions engineering experience, Fluent in TypeScript, Fluent in Next.js, Comfortable in modern React, Built non-trivial backends, Worked with LLM APIs, Application layer experience, Scrappy in the way that ships, Comfortable with ambiguity, Entrepreneurial streak", "qualificationsPreferred" : "Prior founding experience, Leadership experience", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "NewForm is building the creative intelligence layer for paid advertising. We pair an in-house creative pod with Framework, our proprietary statistical testing engine that instruments every ad it ships, to build a creative ontology for each brand: a living map of what works, why it works, and how to make more of it. The service we sell is the creative your paid spend needs. The asset we build is yours to keep. We work with brands like Kalshi, Babbel, Acorns, and Western Union. We oversee north of $100M in annual ad spend, ship 3,000+ ads a month, and Framework has run 6,000+ structured creative tests to date. We're at $7M ARR, doubling YoY for two years running. THE ROLE This is a Palantir-style Forward-Deployed Engineer role adapted for the creative supply chain. You won't be writing tickets handed to you by a PM. You'll be in the room when a strategist hits a workflow ceiling, deciding in real time whether the answer is a new Framework feature, a one-off automation, or a data pipeline that didn't exist yesterday. Then you build it. You'll embed with our services pods: strategists, creators, media buyers, Creative Intelligence Leads and build the software they need to run faster, learn more, and ship more winning ads. You own a roadmap, not a ticket queue. The roadmap is generated by what you observe sitting next to operators in real client work. The work compounds in two directions. The bespoke things you ship for one client become the next generalized Framework feature. The patterns you spot across the services team become the roadmap. WHAT YOU'LL DO - Embed with one or two pods at a time. Sit in their reviews, briefs, and post-mortems. Understand the work end to end before you write code. - Build into Framework when the problem is structural. Build bespoke when the problem is one client's. Make the call on which is which. - Own the end-to-end technical lifecycle for client deployments: onboarding, ad account integrations (Meta, TikTok, Google), data reconciliation, custom dashboards, and the tooling that closes the gap between platform APIs and how strategists actually want to work. - Translate field signal into product. Every workaround a strategist invents is a feature waiting to be written. Surface those patterns to the core engineering team and to leadership directly. - Run your own roadmap. We'll set direction; you set sequence. You should be able to defend why the thing you shipped this week mattered more than the thing you didn't. WHAT SUCCESS LOOKS LIKE - 30 days: You've embedded with at least one pod, mapped where their workflow is breaking, and shipped your first piece of useful tooling to production. Small is fine. Real is what matters. - 60 days: You've shipped meaningful client tooling end to end, identified two or three patterns that should become Framework features, and the pod you're embedded with treats you as part of the team. - 6 months: You've shipped at least one of those patterns into core Framework, built repeatable deployment runbooks for new client onboardings, and the services team is asking for you by name. The playbook for the next FDE hire is yours. WHO YOU ARE - 3+ years building software, with real time in client-facing, deployment, or solutions engineering work. You've shipped things that lived inside someone else's company. - Fluent in TypeScript and Next.js, comfortable in modern React, and have built non-trivial backends. - You've worked with LLM APIs (OpenAI, Anthropic, Gemini) at the application layer. - You can hold a real conversation with a non-technical operator without losing precision. You can sit in a media review and understand what's actually broken. You can also write the PR that fixes it. - You're scrappy in the way that ships, not the way that accumulates tech debt. The thing you build for a client today should still be running cleanly six months from now. - You're comfortable with ambiguity. Client environments differ. Specs are incomplete. You move forward anyway. - You have an entrepreneurial streak. Side projects, prior founding experience, leadership somewhere. You've done things outside a job description. WHAT THIS ROLE ISN'T - Not a solutions engineer taking tickets from sales. The pod is your customer. The brand is theirs. You build for the people building for the brand. - Not a generic full-stack role. The differentiator is being close enough to the problem to know what to build before anyone files a ticket. If you want clean specs, this is the wrong job. - Not a consulting gig. You're not writing SOWs or billing hours. You're building software that the services team uses every day and that compounds into the platform. OUR COMMITMENT TO YOU The tradeoff. We choose proximity over abstraction. You'll ship code from a strategist's desk before the spec exists, because we'd rather solve the actual problem than wait for the right ticket to be filed. If that sounds chaotic, this isn't the right fit. If that sounds like Tuesday, we should talk. Why this matters. NewForm is at an inflection point. We have the services motion working alongside Framework in production. What we don't yet have is a scaled forward-deployed engineering function that turns every client engagement into platform leverage. You'd be the person who builds it. When NewForm is 5x the size it is today, you'll be the one who defined how the FDE function works. COMPENSATION - Base: $120,000 – $200,000, depending on level - Equity: 0.25% – 1.0%, four-year vest with a one-year cliff - Total comp at midpoint: roughly $220,000/year (cash plus annualized equity), with meaningful upside as the company scales LOGISTICS - Location: NYC, in-office, 4 days a week - Travel: Light. Mostly NYC-local, with occasional visits to client offices (<10%) - Benefits: Health, dental, and vision fully covered. $300/mo commuter benefit. Annual team offsites (recent ones: Tulum and Hokkaido) - Work authorization: Must be authorized to work in the US. We can't sponsor visas now or in the future.", "summaryDescription" : "Forward Deployed Engineer at NewForm. Skills: Forward-Deployed Engineering, Software development, Client integrations. Embed with services pods. Build software operators need", "createdAt" : "2026-06-14T03:36:06.541", "lastUpdated" : "2026-06-15T12:07:15.062", "ingestTimestamp" : "2026-06-14T03:36:06.541", "mongoId" : "6a2ce86a74d8ee00a0a6aa5d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 200000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Backend development", "Critical thinking", "Forward-Deployed Engineering", "Software development", "Client integrations", "Solutions engineering", "Client-facing", "Deployment", "Roadmap planning", "Creative supply chain", "Paid advertising", "Statistical testing", "Creative ontology", "Ad account integrations", "Platform APIs", "Framework" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 509.99118, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a308533f292fd229c077a2b", "title" : "Forward Deployed Recruiter - Tech", "company" : "Sxaler", "industry" : "Talent Acquisition", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Tech Recruiters in Mexico City, adjusted for industry and company size." }, "location" : "Mexico City", "locations" : [ "Mexico City" ], "timestamp" : "2026-06-16T11:25:51.199", "fingerprint" : "8cc8012f6ff5906b7b1714663cfe19ef17839f81ebecf8f303754041e57ddae7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/sxaler/d723734c-b67a-4f6a-836f-ac6c2c089fb7/application", "externalId" : "d723734c-b67a-4f6a-836f-ac6c2c089fb7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mexico City", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "19.3207722,-99.1514678" } ], "locationText" : "Mexico City, Mexico", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Talent acquisition", "Hiring process", "Process improvement", "Systems implementation", "Workflow design" ], "hardSkillsList" : [ "Talent sourcing", "Candidate engagement", "Hiring metrics" ], "softSkillsList" : [ "High agency", "Judgment", "Wisdom", "Relationship building", "Emotional quotient" ], "hardSkills" : [ { "name" : "Talent sourcing", "level" : "intermediate" }, { "name" : "Candidate engagement", "level" : "intermediate" }, { "name" : "Hiring metrics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "High agency" }, { "name" : "Judgment" }, { "name" : "Wisdom" }, { "name" : "Relationship building" }, { "name" : "Emotional quotient" } ], "coreResponsibilities" : "Find exceptional talent, Engage talent, Headhunt talent, Make good hiring decisions, Build talent foundations, Introduce process, Introduce systems, Introduce workflows, Build rhythm, Build infrastructure, Influence people, Build trust, Resolve complexity, Solve problems rapidly, Deploy technology, Stand-up technology, Generate hiring-health data, Paint insights", "teamCollaboration" : "Extension of brand", "domainKnowledge" : "Recruitment profession; AI in recruitment; Talent proposition", "domainList" : [ "recruitment-profession", "ai-in-recruitment", "talent-proposition" ], "domainSpecificKnowledge" : [ "Recruitment profession", "AI in recruitment", "Talent proposition" ], "toolProficiency" : [ "AI technology" ], "communicationSkills" : "Human outreach; Compelling outreach", "problemSolvingSkills" : "Problem solving; Resolving complexity; Rapid problem solving", "specialRequirements" : "High-stakes hiring environments, Nascent environments, Ambitious Founders, Unreasonable expectations, Minimal structure, Minimal resources, Minimal patience", "qualificationsBasic" : "Operator experience, Early/growth stage company experience, Critical part of hiring process, Built things using AI", "qualificationsPreferred" : "Scaling scars, AI-pilled", "remoteFriendly" : true, "rawDescription" : "ABOUT SXALER Sxaler operates at the frontier of technology, combining intelligent systems with exceptional human judgement to identify, assess and acquire expert talent. Our Forward Deployed Recruiters are high-agency problem solvers, with scaling scars earned across thousands of hiring cycles in the most competitive markets on Earth. We equip them with proprietary AI to make them fast and precise, leaving more room for their most valuable inputs. We are incubating the revolution of recruitment as a profession, and looking for AI-pilled people to build the most effective talent proposition anywhere. THE MISSION You will be embedded directly inside the highest-stakes hiring environments on Earth; we call them missions. AI labs, frontier teams, companies building the infrastructure of the next decade. You'll operate as an extension of their brand and ours, hiring world-class talent whilst building effective hiring foundations which perfectly complement the humans-in-the-loop. YOU WILL - Find and engage exceptional talent. Headhunt the best and engage them with compelling human outreach. - Apply sound judgement. Make frequent 'good calls' that lead to correct hiring decisions for world-class talent end to end. - Build talent foundations. Introduce 'just enough' process, systems and workflows to succeed at pace. You'll build the rhythm and infrastructure others inherit. - Influence people. Build trust through wisdom and relationship. People want you in the room and AI can't replace you. - Resolve complexity. Work in nascent environments for ambitious Founders with unreasonable expectations. You'll Solve problems rapidly with minimal structure, resources and patience. - Deploy technology. Embrace and stand-up agentic technology to become faster and more precise. Generate hiring-health data to paint compelling insights into progress. WE HIRE PEOPLE WHO - Have spent time in the trenches as an operator, ideally in early/growth stage companies, as a critical part of the hiring process. - Are the person in the room with correct knowledge/instinct, and convincing enough for the authority to act on it. - Have built things using AI to make yourself more effective. - Treat chaos as opportunity and constraints as creative framework. - Thrives in ambiguity, bringing order where it's needed. - Communicates with patience supported by logic, data and experience. - Exercises infinite curiosity, exploring and tinkering with unfamiliar concepts to develop universal professional fluency. - Are high on emotional quotient and agency.", "summaryDescription" : "Forward Deployed Recruiter - Tech at Sxaler. Find exceptional talent. Engage talent", "createdAt" : "2026-06-16T02:00:18.854", "lastUpdated" : "2026-06-16T11:25:51.199", "ingestTimestamp" : "2026-06-16T02:00:18.854", "mongoId" : "6a308533f292fd229c077a2b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Talent sourcing", "Candidate engagement", "Hiring metrics", "High agency", "Judgment", "Wisdom", "Relationship building", "Emotional quotient", "Talent acquisition", "Hiring process", "Process improvement", "Systems implementation", "Workflow design", "Recruitment profession", "AI in recruitment", "Talent proposition", "AI technology" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 507.57504, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b11f292fd229cf58f25", "title" : "Software Engineer, Forward Deployed", "company" : "Invisible", "industry" : "Technology", "salary" : { "min" : 56000.0, "max" : 132000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom", "Warszawa", "Masovian Voivodeship", "Poland" ], "timestamp" : "2026-06-16T10:39:37.788", "fingerprint" : "af0bd3a2bf86c39fc931ac1ee3cc4c4f2d13a6502f4b32f4043828f56977b57f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/invisible/jobs/4898453101", "externalId" : "4898453101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "technicalSkills" : "Python, PyTorch, Hugging Face, LangChain, OpenAI APIs, Docker, FastAPI, GCP, AWS", "professionalSkills" : [ "AI engineering", "Software builder", "Technical consultant", "Scoping problems", "Prototyping workflows", "Deploying systems", "Engineering solutions" ], "hardSkillsList" : [ "ML engineering", "Data pipelines", "Production deployment" ], "hardSkills" : [ { "name" : "ML engineering", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Production deployment", "level" : "intermediate" } ], "majorSkills" : "AI-powered solutions, LLMs, Embedding models, Retrieval systems", "majorSkillsList" : [ "AI-powered solutions", "LLMs", "Embedding models", "Retrieval systems" ], "coreResponsibilities" : "Collaborate with delivery leaders, Scope technical solutions, Identify workflow optimizations, Build stable solutions, Build scalable solutions, Design AI-powered workflows, Implement AI-powered workflows, Translate constraints into solutions, Iterate based on feedback, Build reusable tooling, Build infrastructure", "teamCollaboration" : "Internal delivery teams; Technical stakeholders; Non-technical stakeholders; Delivery teams; Client stakeholders", "domainKnowledge" : "AI-powered solutions; LLMs; Embedding models; Retrieval systems; Automation tools", "domainList" : [ "ai-powered-solutions", "llms", "embedding-models", "retrieval-systems", "automation-tools" ], "domainSpecificKnowledge" : [ "AI-powered solutions", "LLMs", "Embedding models", "Retrieval systems", "Automation tools" ], "toolProficiency" : [ "Docker", "FastAPI", "GCP", "AWS" ], "communicationSkills" : "Explain technical decisions", "innovationCreativity" : "Prototyping AI workflows", "problemSolvingSkills" : "Scoping ambiguous problems; Translate messy real-world constraints", "specialRequirements" : "Willing to be on-call, Travel 15-50%, Short-notice trips", "qualificationsBasic" : "2+ years of professional experience, Python skills, Solid understanding of data pipelines, Solid understanding of APIs, Solid understanding of production deployment, Experience building usable systems, Communication skills", "qualificationsPreferred" : "Familiarity with PyTorch, Familiarity with Hugging Face, Familiarity with LangChain, Familiarity with OpenAI APIs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About The Role As a Software Engineer, Forward Deployed Engineer (FDE) you'll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You’ll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems on top of our products — all while interfacing with technical and non-technical stakeholders. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. **Please note - We are always looking to connect with talented individuals for this role. This posting is part of our ongoing effort to build a strong pipeline of candidates and may not correspond to an immediate opening. Candidates who move forward in the process may be considered for current and future opportunities as they arise. What You’ll Do Collaborate with delivery leaders to scope technical solutions to operational problems Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions Iterate quickly based on real-time feedback from operators and clients Build reusable tooling and infrastructure that accelerates future deployments What We Need 2+ years of professional experience in software engineering or ML engineering Strong Python skills and familiarity with libraries like PyTorch, Hugging Face, LangChain, or OpenAI APIs Solid understanding of data pipelines, APIs, and production deployment (e.g., Docker, FastAPI, GCP/AWS) Experience building usable systems from messy data and ambiguous requirements Strong communication skills — you can explain technical decisions to delivery teams and client stakeholders Entrepreneurial mindset and comfort working in fast-moving, unstructured environments Be willing to be on-call for our customers when situations arise Ability to travel roughly 15-50% of the time, sometimes short-notice trips—primarily across Europe with occasional roll-outs outside of Europe —to work directly on-site with clients What’s In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. For this position, the annual salary ranges by level and location are: Tier 1 (London): Level 1: £56,000 - £83,000 Level 2: £71,000 - £103,000 Level 3: £90,000 - £132,000 Tier 2: Level 1: £44,000 - £65,000 Level 2: £55,000 - £80,000 Level 3: £70,000 - £102,000", "summaryDescription" : "Software Engineer, Forward Deployed at Invisible. Skills: AI-powered solutions, LLMs, Embedding models, Retrieval systems. Collaborate with delivery leaders. Scope technical solutions", "postedDate" : "2026-06-15T23:25:46.105", "createdAt" : "2026-06-15T23:25:46.105", "lastUpdated" : "2026-06-16T10:39:37.788", "ingestTimestamp" : "2026-06-15T23:25:46.105", "mongoId" : "6a305b11f292fd229cf58f25", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "ML engineering", "Data pipelines", "Production deployment", "AI-powered solutions", "LLMs", "Embedding models", "Retrieval systems", "AI engineering", "Software builder", "Technical consultant", "Scoping problems", "Prototyping workflows", "Deploying systems", "Engineering solutions", "Automation tools", "Docker", "FastAPI", "GCP", "AWS" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 506.65, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca0ef74d8ee00a09a3ce2", "title" : "Forward Deployed Engineer", "company" : "Monk", "industry" : "Engineering", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Forward Deployed Engineer in New York, United States, with adjustments for the FinTech industry." }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-15T07:32:06.836", "fingerprint" : "4a62b17f6e13ba42fd0bf4f00f7576f07b0c0e4cab2459ab97f7524dd8374782", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/monk/b67f0a8b-ac1f-49c4-be3d-259983bc9851/application", "externalId" : "b67f0a8b-ac1f-49c4-be3d-259983bc9851", "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", "employmentType" : "FULL_TIME", "technicalSkills" : "Typescript", "professionalSkills" : [ "Technical discovery", "Billing infrastructure", "Revenue operations", "Data systems", "Product roadmap", "Implementations" ], "hardSkillsList" : [ "Debug production issues", "Make tradeoffs" ], "hardSkills" : [ { "name" : "Debug production issues", "level" : "intermediate" }, { "name" : "Make tradeoffs", "level" : "intermediate" } ], "majorSkills" : "AI, Billing, Collections, Payments", "majorSkillsList" : [ "AI", "Billing", "Collections", "Payments" ], "coreResponsibilities" : "Lead technical discovery, Own go-live, Debug production issues, Make tradeoffs, Keep momentum, Build what you need, Unblock yourself, Unblock customer, Be connective tissue, Keep deals from stalling, Represent voice of customer, Turn patterns into input, Take ownership of onboarding, Make implementations faster, Make implementations reliable", "teamCollaboration" : "Connective tissue between Sales; Connective tissue between Ops; Connective tissue between Engineering; Voice of the customer to engineering", "domainKnowledge" : "Accounts receivable; B2B companies; Billing; Collections; Payments; Revenue operations; Finance; AR stack", "domainList" : [ "accounts-receivable", "b2b-companies", "billing", "collections", "payments", "revenue-operations", "finance", "ar-stack" ], "domainSpecificKnowledge" : [ "Accounts receivable", "B2B companies", "Billing", "Collections", "Payments", "Revenue operations", "Finance", "AR stack" ], "problemSolvingSkills" : "Debug production issues; Make tradeoffs; Unblock yourself; Unblock customer", "outcomesObjectives" : "Turn outstanding invoices into cash; Make implementations faster; Make implementations reliable at scale", "qualificationsBasic" : "Advanced programming language, Engineer builds for customers, Operated well beyond JD", "qualificationsPreferred" : "Worked at early-stage startup", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Forward Deployed Engineer Monk is an AI-native accounts receivable platform for B2B companies. We automate billing, collections, and payments so finance teams can turn outstanding invoices into cash, faster. We believe the AR stack is broken and the finance function deserves much better. We are bringing AI, speed, and real craftsmanship to a space that has been ignored for too long. We are looking for a customer-obsessed engineer to be the technical face of our platform. Someone who can go deep on a customer's billing infrastructure, propose the right solution, and own go-live. We do not care about your education, age, or past titles. All that matters is whether you can earn trust with customers and ship what they need. What you will do - Lead technical discovery with customers across billing, payments, collections, and revenue operations, internal data systems - Own go-live with the customer and Monk team; debug production issues, make tradeoffs, and keep momentum through ambiguous requirements - Build what you need to unblock yourself and the customer - Be the connective tissue between Sales, Ops, and Engineering through go-live. You keep deals from stalling - Represent the voice of the customer to our engineering team. Turn patterns you see on the ground into product roadmap input - Take ownership of the onboarding product itself, not just individual engagements. Make implementations faster and more reliable at scale You might excel if you - Are an engineer who builds for customers - Advanced in at least one modern programming language (we use primarily Typescript) - Are an owner. You do not wait to be unblocked. You unblock others - Are curious about finance and how companies manage billing and revenue. You want to quickly become the expert in the room - Have worked at an early-stage startup or in a role where you operated well beyond your JD - Excited to build in person in Flatiron, NYC Why join - Competitive salary, meaningful equity, full health/dental - Freedom and trust. You will own the full customer relationship and have real authority over how implementations get done - We are all in. Expect motivated teammates who ship fast and hold a high bar - Experienced founders with real traction and happy customers - You will be the person customers remember as the one who made it work - Build in person in Flatiron, NYC. It is more fun We hire for intensity, craft, and attitude. Everything else can be learned. ", "summaryDescription" : "Forward Deployed Engineer at Monk. Skills: AI, Billing, Collections, Payments. Lead technical discovery. Own go-live", "createdAt" : "2026-06-14T04:05:42.646", "lastUpdated" : "2026-06-15T07:32:06.836", "ingestTimestamp" : "2026-06-14T04:05:42.646", "mongoId" : "6a2ca0ef74d8ee00a09a3ce2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Debug production issues", "Make tradeoffs", "AI", "Billing", "Collections", "Payments", "Technical discovery", "Billing infrastructure", "Revenue operations", "Data systems", "Product roadmap", "Implementations", "Accounts receivable", "B2B companies", "Finance", "AR stack" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 504.00812, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca34c74d8ee00a09ab28f", "title" : "Forward Deployed Engineer", "company" : "Sitreps", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Onsite", "locations" : [ "Onsite" ], "timestamp" : "2026-06-15T12:58:24.164", "fingerprint" : "f6ad2a77ce22c4e479ee3fc8849ed9d575630235a0e2b73bb6f7d455fb723ce0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/sitrepsllc/jobs/4241071009", "externalId" : "4241071009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" }, { "city" : "Charlotte", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2272086,-80.8430827" }, { "city" : "Nashville", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1622767,-86.7742984" }, { "city" : "Raleigh-Durham", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.8803614,-78.7872382" }, { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Atlanta, Georgia, United States; Charlotte, North Carolina, United States; Nashville, Tennessee, United States; Raleigh-Durham, North Carolina, United States; United States", "technicalSkills" : "Hardware, Software systems, Networking, Communications", "professionalSkills" : [ "Technical operator", "Generalist engineer" ], "hardSkillsList" : [ "System diagnostics", "Log analysis", "Software deployment" ], "hardSkills" : [ { "name" : "System diagnostics", "level" : "intermediate" }, { "name" : "Log analysis", "level" : "intermediate" }, { "name" : "Software deployment", "level" : "intermediate" } ], "majorSkills" : "Robotics, Autonomous systems, Field deployment", "majorSkillsList" : [ "Robotics", "Autonomous systems", "Field deployment" ], "coreResponsibilities" : "Deploy robotic ground systems, Troubleshoot hardware, Troubleshoot autonomy software, Troubleshoot networking, Troubleshoot communications, Troubleshoot operator-control systems, Pull logs via command line, Reproduce issues, Provide clear diagnostics, Identify issues proactively, Resolve issues proactively, Document solutions, Train customer operators, Support customer operators", "teamCollaboration" : "Engineering teams; End users; Field units", "domainKnowledge" : "Defense robotics; Autonomous ground systems; Autonomy stack; Operator-control software; Mission payloads", "domainList" : [ "defense-robotics", "autonomous-ground-systems", "autonomy-stack", "operator-control-software", "mission-payloads" ], "domainSpecificKnowledge" : [ "Defense robotics", "Autonomous ground systems", "Autonomy stack", "Operator-control software", "Mission payloads" ], "communicationSkills" : "Clear diagnostics", "documentationSkills" : "Document solutions", "problemSolvingSkills" : "Problem-solving; Troubleshooting", "specialRequirements" : "~75% travel, Extended stays, Remote environments, Challenging environments", "outcomesObjectives" : "Deep system understanding; Trusted by customers; Proactively resolving issues; Delivering clear feedback; Improve future releases", "qualificationsBasic" : "Hands-on vehicle maintenance, CLI, log analysis, networking, Debug software deployments, Travel extensively ~75%, Physically demanding conditions, Mission orientation, Commitment to end users, Bias toward action, Problem-solving in ambiguous environments", "qualificationsPreferred" : "Forward Deployed Engineer experience, Software-forward defense experience, Dual-use company experience, Government innovation organizations experience, Field Service Representative background, Software/networking expertise, Military experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Forward Deployed Engineer Industry: Defense robotics / autonomous ground systems Location: Maryland HQ preferred. Also open to Ketchum (ID), Palo Alto (CA), Orlando (FL), West Virginia, and Boston Compensation: $135,000–$165,000 base + equity Travel: ~75% (expected to decrease as the team scales) About the Client A venture-backed robotics company building autonomous ground vehicle systems for defense customers. Their platforms combine an autonomy stack, operator-control software, and integrated mission payloads. Programs are rapidly transitioning from experimental phases into real-world deployment, placing this role at the center of that shift. About the Role Forward Deployed Engineers are the company's tip of the spear in the field. You will act as a technical operator, ensuring systems function in real-world conditions that often go beyond documented scenarios. This role is closer to a Palantir-style FDE than a traditional field service representative. You are not just executing checklists—you are a generalist engineer working hands-on in dynamic environments. You will operate at the intersection of engineering and end users, supporting customers who are eager to adopt new capabilities as soon as they are ready. Deployment Locations Stateside: Fort Drum, Fort Bragg, Fort Polk, NTC / Fort Irwin, 29 Palms, Camp Lejeune, White Sands, Aberdeen, Grayling (MI), and others International: Eastern Europe, supporting Ukrainian forces with system upgrades, repairs, and maintenance (behind the front lines) Location & Work Setup Maryland HQ is the preferred location and serves as the engineering hub. Other offices include Ketchum (ID), Palo Alto (CA), Orlando (FL), and West Virginia, with a Boston office opening soon. Strong remote candidates will be considered. Responsibilities Deploy integrated robotic ground systems to test sites, training centers, and forward operating locations Troubleshoot across the full stack: hardware, autonomy software, networking, communications, and operator-control systems Pull logs via command line, reproduce issues, and provide clear diagnostics to engineering teams Proactively identify and resolve issues before they impact the customer Document solutions to prevent recurrence Train and support customer operators on new capabilities Build strong relationships with field units and earn their trust Requirements Must-Haves Strong technical foundation across both hardware and software systems Comfortable with hands-on vehicle maintenance and repair Experience working with CLI, log analysis, networking, and communications troubleshooting Ability to debug software deployments without needing to write production code Willingness to travel extensively (~75%), including extended stays in remote or challenging environments Comfort working in physically demanding conditions (\"Type 2 fun\") Strong mission orientation and commitment to end users Bias toward action and problem-solving in ambiguous environments Nice-to-Haves Experience as a Forward Deployed Engineer at a software-forward defense or dual-use company Experience within government innovation organizations (e.g., DEVCOM, DIU, service-level innovation offices) Background as a Field Service Representative (FSR) with added software/networking expertise Military experience (valued but not required) Compensation & Benefits Base salary: $135,000–$165,000 Equity participation for all employees Performance bonuses primarily awarded as equity Why This Role What Success Looks Like (6 Months) Deep understanding of the system, mission, and user Trusted by customers in the field Proactively identifying and resolving issues Delivering clear feedback to engineering that improves future releases Hiring Process Recruiter screen 30–45 minute phone interview with the hiring team On-site interview at Maryland HQ (or virtual panel if needed) Final roundtable decision Typical process includes one to two phone screens before the final stage.", "summaryDescription" : "Forward Deployed Engineer at Sitreps. Skills: Robotics, Autonomous systems, Field deployment. Deploy robotic ground systems. Troubleshoot hardware", "postedDate" : "2026-06-13T22:38:13.145", "createdAt" : "2026-06-13T22:38:13.145", "lastUpdated" : "2026-06-15T12:58:24.164", "ingestTimestamp" : "2026-06-13T22:38:13.145", "mongoId" : "6a2ca34c74d8ee00a09ab28f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "System diagnostics", "Log analysis", "Software deployment", "Robotics", "Autonomous systems", "Field deployment", "Technical operator", "Generalist engineer", "Defense robotics", "Autonomous ground systems", "Autonomy stack", "Operator-control software", "Mission payloads" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 503.38843, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307eb6f292fd229c051ad2", "title" : "Forward Deployed Software Engineer", "company" : "Harmattan AI", "industry" : "R&D", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "MAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Engineer in Morocco, adjusted for the Technology industry and a mid-sized company." }, "location" : "Morocco", "locations" : [ "Morocco" ], "timestamp" : "2026-06-16T13:19:11.351", "fingerprint" : "e965d62dc74e6148eec9e28231147f36e4bc7fdbc6bcd4086b42f1ba3b0d1ae1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/harmattan-ai/b4bb6811-f6f4-4ecf-a93d-1b29c3a063dd/application", "externalId" : "b4bb6811-f6f4-4ecf-a93d-1b29c3a063dd", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Morocco", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Morocco", "employmentType" : "FULL_TIME", "technicalSkills" : "Software integration, Application configuration, Software customisation, Connector code development", "professionalSkills" : [ "Systems integration", "Application deployment", "Customer interface" ], "hardSkillsList" : [ "Software engineering", "Debugging", "Deployment", "Configuration", "Customisation" ], "hardSkills" : [ { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "Deployment", "level" : "intermediate" }, { "name" : "Configuration", "level" : "intermediate" }, { "name" : "Customisation", "level" : "intermediate" } ], "majorSkills" : "Systems integration, Application customisation, Field deployment", "majorSkillsList" : [ "Systems integration", "Application customisation", "Field deployment" ], "coreResponsibilities" : "Develop software interfaces, Implement software interfaces, Connect software to customer's systems, Adapt integrations to customer context, Validate data flows end-to-end, Configure software for deployment, Customise software for deployment, Parameterise software for deployment, Deploy software on site, Commission software on site, Iterate on configuration based on feedback, Iterate on behaviour based on feedback, Support on-premises release, Support on-premises update, Ensure baseline changes do not break deployed instances, Debug software issues in operational settings, Drive resolution on site, Escalate issues with documentation, Surface integration needs to product team, Surface customisation needs to product team, Work with customer technical teams, Understand operational requirements, Ensure software delivers against requirements, Maintain records of integration architecture, Maintain records of configuration decisions, Maintain records of deployment states, Maintain records of issue resolution", "teamCollaboration" : "Customer technical teams", "domainKnowledge" : "Autonomous defense systems; Enterprise software standards; Network architecture; Communication protocols; Data links", "domainList" : [ "autonomous-defense-systems", "enterprise-software-standards", "network-architecture", "communication-protocols", "data-links" ], "domainSpecificKnowledge" : [ "Autonomous defense systems", "Enterprise software standards", "Network architecture", "Communication protocols", "Data links" ], "communicationSkills" : "Customer interface", "documentationSkills" : "Structured documentation; Rigorous records", "problemSolvingSkills" : "Troubleshooting; Debugging", "specialRequirements" : "High travel rate, Significant on-site presence", "qualificationsBasic" : "3–6 years of experience in software engineering, Hands-on experience in software integration, Hands-on experience in application configuration and customisation, Software engineering foundation, Comfortable owning software end-to-end, Comfortable deploying, configuring, and debugging software in operational settings, Systems thinking, Customer-facing maturity, Field temperament, Comfortable with a high travel rate, Proficiency in English", "qualificationsPreferred" : "Familiarity with enterprise software standards, protocols, and industry interoperability standards, Understanding of network architecture, communication protocols, and data links, Prior forward-deployed or customer-facing software engineering experience, Experience integrating with third-party enterprise or operational environments, French language proficiency, Arabic language proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role As a Forward Deployed Software Engineer, you own the company's software solutions in the field. You are responsible for integrating our platforms into the customer's existing technical environment, and for customising, configuring, and deploying solutions to each operational context. You are the engineer who makes the software work end-to-end where it's used — writing connector code, adapting the application to field realities, and bridging customer environments and the core product team. This role spans two complementary profiles: one leaning toward systems integration (building interfaces and connectors between systems), the other toward application customisation and deployment (configuring and iterating the application per operational context). Both are in scope; the balance depends on the specific deployment. Responsibilities - Systems Integration: Develop and implement software interfaces that connect our software to the customer's existing client systems; adapt integrations to each customer context and validate data flows end-to-end on site. - Customisation & Deployment: Configure, customise, and parameterise software for each deployment's operational context; deploy and commission on site; iterate on configuration and behaviour based on field feedback. - Release & Update Management: Support the on-premises release and update process; ensure changes to the baseline do not break deployed instances. - Troubleshooting: Debug software issues in operational settings; drive resolution on site and escalate with structured documentation. - Product Feedback Loop: Surface reusable integration and customisation needs to the core product team so durable capability lands in the baseline rather than accumulating as per-deployment forks. - Customer Interface: Work directly with customer technical teams to understand operational requirements and ensure the software delivers against them. - Documentation: Maintain rigorous records of integration architecture, configuration decisions, deployment states, and issue resolution. Candidate Requirements - 3–6 years of experience in software engineering, with demonstrated hands-on experience in both software integration (interfaces and connectors between systems) and application configuration and customisation for specific environments. - Strong software engineering foundation — comfortable owning software end-to-end: build, configure, debug, deploy. - Comfortable on Linux; deploying, configuring, and debugging software in operational settings. - Systems thinking: able to reason across an integrated system and across external interfaces, not just a single component. - Familiarity with enterprise software standards, protocols, and industry interoperability standards is a strong plus. - Understanding of network architecture, communication protocols, and data links relevant to enterprise environments. - Customer-facing maturity — comfortable working directly with customer technical teams on site. - Field temperament: autonomous in challenging environments, procedurally rigorous, strong safety mindset in mission-critical environments. - Comfortable with a high travel rate, domestic and international — significant on-site presence is core to this role. - Proficiency in English is mandatory; French and Arabic are a plus. Nice to Have - Prior forward-deployed or customer-facing software engineering experience. - Experience integrating with third-party enterprise or operational environments. We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.", "summaryDescription" : "Forward Deployed Software Engineer at Harmattan AI. Skills: Systems integration, Application customisation, Field deployment. Develop software interfaces. Implement software interfaces", "createdAt" : "2026-06-16T01:59:51.803", "lastUpdated" : "2026-06-16T13:19:11.351", "ingestTimestamp" : "2026-06-16T01:59:51.803", "mongoId" : "6a307eb6f292fd229c051ad2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software engineering", "Debugging", "Deployment", "Configuration", "Customisation", "Systems integration", "Application customisation", "Field deployment", "Application deployment", "Customer interface", "Autonomous defense systems", "Enterprise software standards", "Network architecture", "Communication protocols", "Data links" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 501.73572, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6931903470f0b99d58087a89", "title" : "Software Dev Engineer, Query Optimization", "company" : "Amazon Development Center U.S., Inc. - B02", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "East Palo Alto, California, USA", "locations" : [ "East Palo Alto, California, USA" ], "timestamp" : "2026-06-15T01:17:20.813", "fingerprint" : "4fa4b660ded708b5ca480223e8ed3cf54c5083fe342150cd70a7f687292e83a6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136754/apply", "externalId" : "fd182989-192d-4a41-96ec-0036e40df3a5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "East Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4688273,-122.1410750" } ], "locationText" : "East Palo Alto, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Cloud data warehouse, MPP engine", "professionalSkills" : [ "Product vision", "Customer value", "End-to-end deliverables", "Algorithmic expertise", "Coding expertise" ], "hardSkillsList" : [ "Query optimization", "Parallel-aware query optimizer", "Execution plans" ], "softSkillsList" : [ "Mentoring", "Hiring" ], "hardSkills" : [ { "name" : "Query optimization", "level" : "intermediate" }, { "name" : "Parallel-aware query optimizer", "level" : "intermediate" }, { "name" : "Execution plans", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Hiring" } ], "majorSkills" : "Query optimization, System design, Software development", "majorSkillsList" : [ "Query optimization", "System design", "Software development" ], "coreResponsibilities" : "Build systems for Redshift clusters, Define new features, Define new architecture, Distill complex requirements, Convert requirements into projects, Code end-to-end deliverables, Design deliverables, Develop deliverables, Deploy deliverables, Monitor deliverables, Operate deliverables, Lead engineers on projects, Develop team through mentoring, Develop team through hiring", "teamCollaboration" : "Collaborative environment", "domainKnowledge" : "Cloud data warehouse; MPP engine; Analytical workloads", "domainList" : [ "cloud-data-warehouse", "mpp-engine", "analytical-workloads" ], "domainSpecificKnowledge" : [ "Cloud data warehouse", "MPP engine", "Analytical workloads" ], "innovationCreativity" : "Innovative engineers", "problemSolvingSkills" : "Algorithmic expertise; Coding expertise", "qualificationsBasic" : "1+ years professional software development experience, 1+ years system design or architecture experience, Experience programming at least one language", "qualificationsPreferred" : "1+ years full SDLC experience, Master's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Redshift is the world’s most popular fully managed cloud data warehouse. Tens of thousands of enterprise customers use Redshift to crunch through exabytes of data in the cloud to make business critical decisions every day. To stay ahead in such a mission critical setting, at Redshift, we must always re-invent ourselves for customers. We are always looking for the innovative engineers to help shape the future of Redshift. We are actively hiring talented software engineers in the query optimization team of Redshift. The parallel-aware query optimizer of Redshift is at the heart of Redshift data plane and is responsible for finding optimal execution plans for tactical and complex queries running on the Redshift’s MPP engine. As a Software Development Engineer in Redshift, you will build systems that benefit Redshift clusters across the world. You will take significant ownership on the overall product vision by defining new features and architecture. You will distill complex and ambiguous requirements, converting them into meaningful projects that provide immense customer value. You will own and code end-to-end deliverables from design, development, deployment, monitoring, and operations. And you will lead engineers on substantial projects and help develop a flourishing team through active mentoring and hiring. This is a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology powering analytical workloads for Fortune 500 companies, startups, and everything in between. You will bring deep technical, algorithmic and coding expertise with the ability to work within a fast moving and collaborative environment in the industry leading cloud company to deliver a broad business impact. About the team About AWS 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 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 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: - 1+ years of non-internship professional software development experience - 1+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 1+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in computer 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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" : "Software Dev Engineer, Query Optimization at Amazon Development Center U.S., Inc. - B02. Skills: Query optimization, System design, Software development. Build systems for Redshift clusters. Define new features", "postedDate" : "2026-06-13T02:10:53.772", "createdAt" : "2026-06-13T02:10:53.772", "lastUpdated" : "2026-06-15T01:17:20.813", "ingestTimestamp" : "2026-06-13T02:10:53.772", "mongoId" : "6931903470f0b99d58087a89", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136754/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Query optimization", "Parallel-aware query optimizer", "Execution plans", "Mentoring", "Hiring", "System design", "Software development", "Product vision", "Customer value", "End-to-end deliverables", "Algorithmic expertise", "Coding expertise", "Cloud data warehouse", "MPP engine", "Analytical workloads" ], "skillCount" : 15, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 500.5072, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a307978f292fd229c032a47", "title" : "Forward Deployed Product Manager", "company" : "Fractional AI", "industry" : "Product", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "AED", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Forward Deployed Product Manager in Dubai, UAE, adjusted for the technology industry and company size." }, "location" : "Dubai Office", "locations" : [ "Dubai Office" ], "timestamp" : "2026-06-16T11:19:35.673", "fingerprint" : "5e25a97454445f110f79c0b87fc685934c264bf3c6842fd87d5dec97f4af5057", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/fractional-ai/72b125d7-9ea0-4b65-a259-d02e9e59de58/application", "externalId" : "72b125d7-9ea0-4b65-a259-d02e9e59de58", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dubai", "country" : "United Arab Emirates", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0742823,55.1885387" } ], "locationText" : "Dubai, United Arab Emirates", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Customer relationship management", "Problem translation", "Requirement translation", "Execution management", "Demand creation", "Product strategy", "Customer adoption", "Change management", "Problem solving", "Structured communication", "Bias for action", "Ownership", "Ambiguity management", "Intensity management" ], "hardSkillsList" : [ "Product management", "Delivery management", "Program management", "Customer engagement", "User journeys", "Success metrics", "Business problems", "Problem statements", "Clear requirements", "PRDs", "Execution plans", "Workflows", "Edge cases", "Evaluation criteria", "AI systems", "Risk tracking", "Expansion opportunities", "Rollout planning", "Enablement planning", "Playbook creation", "Product direction", "Fuzzy requirements", "Customer course changes", "SQL query", "Support playbook", "Exec demo", "AI product development" ], "hardSkills" : [ { "name" : "Product management", "level" : "intermediate" }, { "name" : "Delivery management", "level" : "intermediate" }, { "name" : "Program management", "level" : "intermediate" }, { "name" : "Customer engagement", "level" : "intermediate" }, { "name" : "User journeys", "level" : "intermediate" }, { "name" : "Success metrics", "level" : "intermediate" }, { "name" : "Business problems", "level" : "intermediate" }, { "name" : "Problem statements", "level" : "intermediate" }, { "name" : "Clear requirements", "level" : "intermediate" }, { "name" : "PRDs", "level" : "intermediate" }, { "name" : "Execution plans", "level" : "intermediate" }, { "name" : "Workflows", "level" : "intermediate" }, { "name" : "Edge cases", "level" : "intermediate" }, { "name" : "Evaluation criteria", "level" : "intermediate" }, { "name" : "AI systems", "level" : "intermediate" }, { "name" : "Risk tracking", "level" : "intermediate" }, { "name" : "Expansion opportunities", "level" : "intermediate" }, { "name" : "Rollout planning", "level" : "intermediate" }, { "name" : "Enablement planning", "level" : "intermediate" }, { "name" : "Playbook creation", "level" : "intermediate" }, { "name" : "Product direction", "level" : "intermediate" }, { "name" : "Fuzzy requirements", "level" : "intermediate" }, { "name" : "Customer course changes", "level" : "intermediate" }, { "name" : "SQL query", "level" : "intermediate" }, { "name" : "Support playbook", "level" : "intermediate" }, { "name" : "Exec demo", "level" : "intermediate" }, { "name" : "AI product development", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Customer engagement, AI product development", "majorSkillsList" : [ "Product strategy", "Customer engagement", "AI product development" ], "coreResponsibilities" : "Own customer relationship end-to-end, Act as customer's strategic partner, Build trust across organization, Be candid about tradeoffs, Translate business problems into problem statements, Define user journeys, Define success metrics, Work with customers to define success, Translate needs into requirements, Create PRDs, Create plans for engineers, Shape workflows, Shape edge cases, Shape evaluation criteria, Drive execution across AI products, Run day-to-day rhythm, Track risks, Coordinate between customers and engineers, Coordinate with designers, Coordinate with Fractional teammates, Keep work unblocked, Keep work on time, Jump on early conversations, Help tease out pain, Sketch solution approaches live, Spot expansion opportunities, Drive adoption, Drive long-term impact, Work on rollout, Work on enablement, Work on change management, Bring back insights, Inform Fractional's playbooks, Inform product direction, Bring judgment, Bring clarity, Say what we're doing, Say what we know, Propose a plan", "teamCollaboration" : "Cross-functional teams; Customer teams; Engineers; Designers; Fractional teammates", "projectManagementSkills" : [ "Engagement management", "Delivery management", "Program management", "Execution motion", "Planning", "Check-ins", "Risk tracking" ], "domainKnowledge" : "Frontier AI; AI-powered solutions; AI products; LLMs", "domainList" : [ "frontier-ai", "ai-powered-solutions", "ai-products", "llms" ], "domainSpecificKnowledge" : [ "Frontier AI", "AI-powered solutions", "AI products", "LLMs" ], "communicationSkills" : "Client communication; Executive communication; Problem framing; Writing crisp docs", "documentationSkills" : "PRDs; Plans for engineers; Support playbook", "continuousLearning" : "Learn fast; Experiment with tools", "innovationCreativity" : "Sketch solution approaches live; Spot expansion opportunities", "problemSolvingSkills" : "Structured problem-solving; Turn ambiguity into plan; Make good calls", "specialRequirements" : "4 days in-person, Fridays remote", "outcomesObjectives" : "Turn goals into AI-powered solutions; Achieve live system impact; Achieve real business impact; Drive adoption; Drive long-term impact", "qualificationsBasic" : "4–8 years in product, consulting, or implementations, Built and shipped products with engineers, Run an execution rhythm", "qualificationsPreferred" : "AI curiosity, Deep AI expertise not required", "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT FRACTIONAL AI How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages? Fractional AI is focused on putting frontier AI to work. We’re a group of veteran Silicon Valley builders who care deeply about getting complex AI systems built right, with strong conviction about what makes them succeed. We're backed by Anthropic, Blackstone, Hellman & Friedman, Goldman Sachs, General Atlantic, Leonard Green & Partners, Apollo Global Management, GIC, and Sequoia Capital. We're headquartered in SF with offices in NYC, Raleigh-Durham, and Dubai. THE ROLE Our customers come to us with ambitious, often fuzzy goals — make content moderation faster, customer service cheaper and better, unlock new integrations, automate the workflows no one else can touch. Your job is to turn those goals into AI-powered solutions that work in the real world, and to own the journey from first conversation to live system to real business impact. This is a forward-deployed, full-stack customer role: - Part engagement manager — you're the primary face of Fractional to the client. - Part product manager — you decide what we build and why. - Part delivery/program manager — you run the execution motion end-to-end. - Part “do whatever it takes\" operator — you jump into the gaps to keep things moving. WHAT YOU’LL DO - Own the customer relationship end-to-end. Act as the customer's day-to-day strategic partner and primary point of contact, building trust across all levels of the organization and being candid about tradeoffs. - Shape what we build and why. Translate ambiguous business problems into crisp problem statements, user journeys, and success metrics — and work with customers to define what \"success\" actually means. - Turn messy problems into shipped solutions. Translate ambiguous needs into clear requirements, PRDs, and plans for engineers. Shape workflows, edge cases, and evaluation criteria for AI-powered systems. - Drive execution across multiple AI products. Run the day-to-day rhythm — planning, check-ins, risk tracking — and coordinate between customers, engineers, designers, and Fractional teammates to keep work unblocked and on time. - Help create demand, not just fulfill it. Jump on early, messy conversations where the project is still a vague idea. Help founders and sales tease out real pain, sketch solution approaches live, and spot expansion opportunities. - Drive adoption and long-term impact. Work with client teams on rollout, enablement, and change management so the systems you build actually get used. Bring back insights that inform Fractional's playbooks and product direction. - Bring judgment and clarity. When requirements are fuzzy or customers change course, be the person in the room who can say: here's what we're trying to do, here's what we know, here's the plan. WHAT YOU BRING - Customer-facing, high-stakes experience. You've led projects where customers were under pressure, stakeholders weren't aligned, and the path wasn't obvious. You're comfortable pushing back, reframing the problem, and holding the line on quality. We typically look for 4–8 years in product, consulting, or implementations, although we care more about what you've done than the label on your resume. - Real product and delivery experience. You've built and shipped products with engineers and designers across multiple cycles. You can run an execution rhythm — stand-ups, planning, tracking, retros — without turning it into process theater. - - Structured problem-solving and communication. You ask good questions, structure chaos, and turn ambiguity into a plan — moving from whiteboarding with execs to writing a crisp doc for engineers without losing the plot. - Bias for action and ownership. You roll up your sleeves and make things happen, whether that's writing a scrappy SQL query, drafting a support playbook, or jumping into a last-minute exec demo. - - Comfort with ambiguity and intensity. You like high-energy environments, messy problems, and \"we haven't done this before\" projects. You can juggle multiple customers, keep priorities straight, and make good calls with incomplete information. - AI curiosity, not AI Dogma. You don't need deep AI expertise on day one — you do need strong reasoning, a desire to learn fast, and a willingness to overuse AI in your own workflow. HOW FRACTIONAL IS DIFFERENT A typical PM here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product — but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else. Many PMs look back at this as the biggest growth period of their career. But it's possible you won't like it — we recommend using the interview process to hear what our team members think. OUR VALUES - Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world’s best applied AI team. - Overuse AI: We go out of our way to experiment with the latest tools and share what we learn with our teammates - building a culture at the frontier. - Over \"engineer\" the culture: For every big decision, we ask “would this make Fractional a better or worse place for our team?” LOCATION Dubai Work Arrangement: 4 days in-person, Fridays remote BENEFITS - \uD83C\uDFE6 Competitive Compensation Package: Attractive salary aligned with your experience and skills. - \uD83D\uDCC8 401k with Matching: Invest in your future with our company-matched retirement plan. - \uD83C\uDF34 Unlimited PTO: Take the time you need to relax and rejuvenate. - \uD83C\uDFE5 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. - \uD83D\uDE91 Health FSA: Manage out-of-pocket health expenses effectively. - \uD83D\uDE8C Commuter Benefits: Make your travel to work easier and more affordable. - \uD83C\uDFE5 Life Insurance: Providing peace of mind for you and your loved ones. - \uD83C\uDF89 Team Events and Activities: Regular events to build camaraderie and a strong team spirit. READY TO JOIN US?", "summaryDescription" : "Forward Deployed Product Manager at Fractional AI. Skills: Product strategy, Customer engagement, AI product development. Own customer relationship end-to-end. Act as customer's strategic partner", "createdAt" : "2026-06-16T01:59:37.940", "lastUpdated" : "2026-06-16T11:19:35.673", "ingestTimestamp" : "2026-06-16T01:59:37.940", "mongoId" : "6a307978f292fd229c032a47", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Product management", "Delivery management", "Program management", "Customer engagement", "User journeys", "Success metrics", "Business problems", "Problem statements", "Clear requirements", "PRDs", "Execution plans", "Workflows", "Edge cases", "Evaluation criteria", "AI systems", "Risk tracking", "Expansion opportunities", "Rollout planning", "Enablement planning", "Playbook creation", "Product direction", "Fuzzy requirements", "Customer course changes", "SQL query", "Support playbook", "Exec demo", "AI product development", "Product strategy", "Customer relationship management", "Problem translation", "Requirement translation", "Execution management", "Demand creation", "Customer adoption", "Change management", "Problem solving", "Structured communication", "Bias for action", "Ownership", "Ambiguity management", "Intensity management", "Engagement management", "Execution motion", "Planning", "Check-ins", "Frontier AI", "AI-powered solutions", "AI products", "LLMs" ], "skillCount" : 49, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 499.71988, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c75ab74d8ee00a0937cf5", "title" : "Forward Deployed Engineer", "company" : "Lago", "industry" : "Engineering", "salary" : { "min" : 70000.0, "max" : 100000.0, "currency" : "EUR", "frequency" : "Yearly" }, "location" : "Remote Europe", "locations" : [ "Remote Europe" ], "timestamp" : "2026-06-15T06:21:28.101", "fingerprint" : "3ef24a7c21651aa128f3adf65684974b96164a4322d022cba9073c15058b4152", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lago/5ce59e80-c4f9-40e9-88c5-a68bb566f089/application", "externalId" : "5ce59e80-c4f9-40e9-88c5-a68bb566f089", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "eu", "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "technicalSkills" : "Ruby on Rails, React, TypeScript, APIs, SDKs, REST APIs, SQL, Data modeling, PostgreSQL, Redis, Kafka, Terraform, Docker, CI/CD", "professionalSkills" : [ "Delivery ownership", "Customer collaboration", "Technical delivery", "Architecture design", "Data ingestion", "Automation scripting", "Billing configuration", "Metering configuration", "Event processing", "Product extensions", "Roadmap input", "Customer mentoring" ], "hardSkillsList" : [ "API integration", "SDK integration", "Data pipeline design", "Automation scripting", "Billing setup", "Metering setup", "Event processing setup" ], "softSkillsList" : [ "Reliability", "Proactivity", "Excellence" ], "hardSkills" : [ { "name" : "API integration", "level" : "intermediate" }, { "name" : "SDK integration", "level" : "intermediate" }, { "name" : "Data pipeline design", "level" : "intermediate" }, { "name" : "Automation scripting", "level" : "intermediate" }, { "name" : "Billing setup", "level" : "intermediate" }, { "name" : "Metering setup", "level" : "intermediate" }, { "name" : "Event processing setup", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Reliability" }, { "name" : "Proactivity" }, { "name" : "Excellence" } ], "majorSkills" : "Forward Deployed Engineering, Customer Integration, Billing Systems", "majorSkillsList" : [ "Forward Deployed Engineering", "Customer Integration", "Billing Systems" ], "coreResponsibilities" : "Own technical delivery for Tier 1 customers, Design architecture, Deploy systems, Build custom integrations, Build connectors, Build workflows, Design data ingestion pipelines, Design automation scripts, Configure billing setups, Configure metering setups, Configure event processing setups, Collaborate with Support Engineers, Collaborate with Core Engineering, Write reusable code, Write documentation, Write best-practice templates, Surface recurring patterns, Surface feature gaps, Mentor customer teams", "teamCollaboration" : "Support Engineers; Core Engineering; Product teams; Customer teams", "projectManagementSkills" : [ "Delivery timelines" ], "domainKnowledge" : "Monetization; Billing platforms; Pricing models; Developer platforms; Fintech", "domainList" : [ "monetization", "billing-platforms", "pricing-models", "developer-platforms", "fintech" ], "domainSpecificKnowledge" : [ "Monetization", "Billing platforms", "Pricing models", "Developer platforms", "Fintech" ], "toolProficiency" : [ "Lago APIs", "Lago SDKs", "PostgreSQL", "Redis", "Kafka", "Terraform", "Docker", "CI/CD" ], "communicationSkills" : "Technical detail; Customer empathy", "documentationSkills" : "Documentation; Best-practice templates", "continuousLearning" : "Learn fast", "problemSolvingSkills" : "Solve hard problems; Navigate ambiguity", "outcomesObjectives" : "Ensure adoption; Ensure scalability; Ensure impact; Turn product flexibility into customer success", "qualificationsBasic" : "4+ years API experience, 4+ years SDK experience, Deep understanding REST APIs, Deep understanding authentication, Deep understanding integration patterns, SQL skills, Data modeling skills, Experience designing integrations, Experience deploying integrations, Excellent written communication, Excellent verbal communication, Manage delivery timelines, Coordinate across teams", "qualificationsPreferred" : "Ruby on Rails APIs experience, React experience, TypeScript experience, PostgreSQL experience, Redis experience, Kafka experience, Technical consulting experience, Professional services experience, Customer engineering experience, Terraform familiarity, Docker familiarity, CI/CD environments familiarity, Billing background, Payments background, Developer platforms background, Open-source contribution, Customer-led product delivery", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT LAGO At Lago, we're on a mission to make Monetization simpler for tech companies. As the leading open-source billing platform, we help businesses build flexible pricing models and scale with confidence. We've raised over $22 million in funding from top-tier investors including Y Combinator and FirstMark. Our platform has garnered around 10K stars on GitHub, a testament to our active and growing developer community. Companies such as PayPal, CoreWeave, Synthesia, and Mistral.ai http://Mistral.ai choose Lago for their billing. And we have barely spent any money on Marketing or Ads so far. We're a team of ambitious, focused individuals who solve hard problems with excellence and accountability. At Lago, we value reliability and proactivity. We trust each other to own tasks, drive them to completion, and continuously improve them. While we encourage you to try fast and “fail fast”, we also expect you to learn fast: make mistakes, but don't make the same one twice. If you're excited by challenges and want to grow alongside a high-performing, supportive team, this is the place for you. OVERVIEW At Lago, Forward-Deployed Engineers (FDEs) are engineers embedded with customers. They build, integrate, and optimize Lago in production environments: ensuring adoption, scalability, and impact. This role blends engineering depth with delivery ownership and customer collaboration. You’ll write code, deploy systems, and translate real-world use cases into product-ready insights. FDEs are not part of the reactive support queue, and they’re not isolated in core product development. They sit at the intersection of engineering and delivery: the engineers who turn product flexibility into customer success. WHAT YOU’LL BE DOING - Own technical delivery for Tier 1 customers: from architecture design to deployment. - Build custom integrations, connectors, and workflows using Lago’s Ruby on Rails APIs, React, and TypeScript stack. - Design data ingestion pipelines and automation scripts (PostgreSQL, Redis, Kafka). - Configure and optimize billing, metering, and event processing setups tailored to customer environments. - Collaborate with Support Engineers on reliability handoffs and Core Engineering on product extensions. - Write reusable code, documentation, and best-practice templates for future implementations. - Surface recurring patterns or feature gaps to Product and Engineering for roadmap input. - Mentor customer teams on Lago’s architecture, SDKs, and deployment patterns. WHO YOU ARE - A software engineer/technical expert who thrives in hands-on, customer-facing environments. - Enjoys designing integrations, data pipelines, and technical architectures. - Communicates clearly, balancing technical detail with customer empathy. - Resourceful and comfortable navigating ambiguity. - Eager to work across code, delivery, and customer experience. WHO YOU’RE NOT - You’re not part of reactive support queues: you plan, build, and deliver. - You’re not detached from customers: you embed and advise. - You’re not limited to writing specs: you ship and document your work. - You’re not chasing short-term fixes: you design systems that scale. REQUIREMENTS - 4+ years of experience working closely with APIs and SDKs (in Ruby/React would be a bonus but can be multiple languages) - Deep understanding of REST APIs, authentication, and integration patterns. - Strong SQL and data modeling skills (PostgreSQL, Redis, Kafka a plus). - Experience designing and deploying production-ready integrations. - Excellent written and verbal communication skills for both technical and non-technical stakeholders. - Proven ability to manage delivery timelines and coordinate across teams. Nice to have - Experience in technical consulting, professional services, or customer engineering. - Familiarity with Terraform, Docker, or CI/CD environments. - Background in billing, payments, or developer platforms. - Prior contribution to open-source or customer-led product delivery. Growth path - Technical: Senior → Core Engineering / Product Architecture. - Cross-functional: Product Manager. - Leadership: FDE Lead → Head of Professional Services / Customer Engineering. FDEs form the bridge between engineering and real-world adoption: turning technical capability into customer outcomes. WHY JOIN LAGO? - Work with top-tier international talent: Join a team that values excellence, slope over intercept, and accountability. We have convinced top-tier investors and companies to trust us with mission-critical systems like billing. We have 12+ nationalities on the team and are building a global company with a global culture. - Shape the future of monetization and fintech: The world is changing. Monetization systems are shifting with AI, and you will be at the forefront of this revolution. - Fully remote: Work from anywhere in Europe - Competitive package: Competitive salary and stock options - Make an impact: Your work will directly shape how customers like Mistral, Groq, Synthesia, and established enterprises monetize and grow. Ready to Build with Us? If you’re excited about joining a high-talent team to solve meaningful problems and help businesses thrive, we’d love to hear from you. Apply today and let’s build something remarkable—together. Location type: Remote Primary Location: Remote Europe Team : GTM Work Type: Full Time/Permanent Contract Salary: 70,000-100,000 EUR per year (Applicants must be based in the location specified for this role. Applications from other locations will not be considered.)", "summaryDescription" : "Forward Deployed Engineer at Lago. Skills: Forward Deployed Engineering, Customer Integration, Billing Systems. Own technical delivery for Tier 1 customers. Design architecture", "createdAt" : "2026-06-13T21:22:28.736", "lastUpdated" : "2026-06-15T06:21:28.101", "ingestTimestamp" : "2026-06-13T21:22:28.736", "mongoId" : "6a2c75ab74d8ee00a0937cf5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "API integration", "SDK integration", "Data pipeline design", "Automation scripting", "Billing setup", "Metering setup", "Event processing setup", "Reliability", "Proactivity", "Excellence", "Forward Deployed Engineering", "Customer Integration", "Billing Systems", "Delivery ownership", "Customer collaboration", "Technical delivery", "Architecture design", "Data ingestion", "Billing configuration", "Metering configuration", "Event processing", "Product extensions", "Roadmap input", "Customer mentoring", "Delivery timelines", "Monetization", "Billing platforms", "Pricing models", "Developer platforms", "Fintech", "Lago APIs", "Lago SDKs", "PostgreSQL", "Redis", "Kafka", "Terraform", "Docker", "CI/CD" ], "skillCount" : 38, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 499.55463, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.97 }, { "id" : "68c2e420f8b1b0376634c4ca", "title" : "Network Deploy Technician", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Data Center Operations, Cloud Computing", "salary" : { "min" : 50600.0, "max" : 113200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "certifications" : [ "CompTIA", "CCENT", "Network+" ], "timestamp" : "2026-06-15T07:54:32.873", "fingerprint" : "9715edeffedef0e0368dc4445a57f2e0a0a6d173d9cf342352dec43e910564ee", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076631/apply", "externalId" : "fc05b0a1-99e6-4d62-a5d4-1b613211fdb9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Networking, Routing, Interconnectivity", "professionalSkills" : [ "Project execution", "Capacity management" ], "hardSkillsList" : [ "Network deployment", "Infrastructure cabling", "Hardware racking", "Hardware stacking" ], "hardSkills" : [ { "name" : "Network deployment", "level" : "intermediate" }, { "name" : "Infrastructure cabling", "level" : "intermediate" }, { "name" : "Hardware racking", "level" : "intermediate" }, { "name" : "Hardware stacking", "level" : "intermediate" } ], "majorSkills" : "Network deployment, Data center operations", "majorSkillsList" : [ "Network deployment", "Data center operations" ], "coreResponsibilities" : "Manage work and priorities, Complete customer requests, Complete projects, Collaborate with stakeholders, Remove project obstacles, Troubleshoot networking issues, Troubleshoot routing issues, Troubleshoot interconnectivity issues, Troubleshoot network device configuration, Troubleshoot low level application interaction, Troubleshoot cabling infrastructure connectivity, Specify Power requirements, Specify Cooling requirements, Ensure Hardware Racking/Stacking, Participate in migration, Participate in basic configuration, Participate in rollout, Report current status, Maintain accurate records, Document problems, Document processes", "teamCollaboration" : "Internal customers; External vendors; Various stakeholders; Peer interaction; Customer interaction", "projectManagementSkills" : [ "Technical Project Management" ], "domainKnowledge" : "Enterprise class networks; Network implementation; Network troubleshooting; AWS network infrastructure", "domainList" : [ "enterprise-class-networks", "network-implementation", "network-troubleshooting", "aws-network-infrastructure" ], "domainSpecificKnowledge" : [ "Enterprise class networks", "Network implementation", "Network troubleshooting", "AWS network infrastructure" ], "toolProficiency" : [ "Ticketing system" ], "documentationSkills" : "Document problems; Document processes", "innovationCreativity" : "Automate networks; Scale networks", "problemSolvingSkills" : "Troubleshoot networking issues; Troubleshoot routing issues; Troubleshoot interconnectivity issues", "specialRequirements" : "Lift up to 40 pounds, Group lifts 41+ pounds, 24/7 environment, Responder rotation, After-hours support, Cramped environments, Elevated environments, Noisy environments, Up to 8+ hours standing, Up to 8+ hours walking, Ascend ladders, Descend ladders, Ascend stairs, Descend stairs, Ascend gangways, Descend gangways, Up to 20% travel, Lift computer equipment", "qualificationsBasic" : "High School diploma or equivalent, 1+ year IT experience", "qualificationsPreferred" : "Data center experience, Industry standard certifications, Knowledge of network cabling, Knowledge of optic types, Knowledge of test equipment, Experience with network tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Amazon, we're working to be Earth's most Customer-centric Company and Earth's Best Employer. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build and expand the Cloud, this is your chance to make history. Amazon is looking for a Network Deploy Technician to join our growing team within infrastructure operations. You will work with minimum supervision in a dynamic environment to drive the stability and sustainability of our next-generation networks and assist in the development of innovative ways to automate and scale our network. The position's responsibilities include scaling support of several data center locations and day to day assistance with capacity management. You will work closely with internal customers and external vendors to facilitate smooth project execution as directed by Network Leadership and Technical Project Managers. You will leverage your experience supporting large scale, enterprise class networks as well as network implementation and troubleshooting. As a Network Deploy Technician, you will work in a fast paced, collaborative environment with regular peer and customer interaction. In addition to providing management and support of AWS’ vast network infrastructure, Network Deploy Technicians establish and follow best practices and refine operational procedures. All physical requirements are expected with reasonable accommodations: Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed Working in cramped and/or elevated and/or noisy environments Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day Ascending and descending ladders, stairs, and gangways safely and without limitation Key job responsibilities Manage work and priorities through ticketing system and workflows to complete customer requests and projects Collaboration with various stakeholders to remove project obstacles Troubleshoot networking, routing and interconnectivity issues, including troubleshooting of network device configuration and low level application interaction Up to 20% travel within geographical work area is required. Some travel outside traditional work area may be requested, including internationally Troubleshooting cabling infrastructure connectivity issues, including patch panels and patch cords Specifying Power and Cooling requirements and ensuring Hardware Racking/Stacking completed for new equipment Participate in the migration, basic configuration and rollout of new or upgraded hardware Moving and lifting computer equipment up to 40 lbs Availability to work in an environment that operates 24/7 A day in the life Report current status via ticketing system, status reports, and email Maintain accurate records and document problems and processes Collaboration with various stake holders to remove project obstacles Exhibit quality workmanship on all work and maintain site cleanliness About the team 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. 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. 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 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: - High School diploma or equivalent - 1+ year or experience in any of the following IT roles: Computer Hardware Repair, Infrastructure Cabling, Network Deployment, Data Center Operations, Technical Project Management Preferred Qualifications: - Data center experience Industry standard certifications (CompTIA, CCENT, Network+,) - Knowledge of network cabling, optic types, and test equipment - Experience with common tools related to network troubleshooting, including VFLs, OTDR and power meters - Understanding of infrastructure technologies, including Routers, Switches, Load Balancers and Firewalls - Knowledge of major Command Line Protocols (Cisco IOS, JunOS, GNU/Linux) and common Networking Protocols (BGP, OSPF) 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $50,600/year in our lowest geographic market up to $113,200/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" : "Network Deploy Technician at Amazon Data Services, Inc.. Skills: Network deployment, Data center operations. Manage work and priorities. Complete customer requests", "postedDate" : "2026-06-13T19:55:03.077", "createdAt" : "2026-06-13T19:55:03.077", "lastUpdated" : "2026-06-15T07:54:32.873", "ingestTimestamp" : "2026-06-13T19:55:03.077", "mongoId" : "68c2e420f8b1b0376634c4ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076631/apply", "salaryAnnualMin" : 50600, "salaryAnnualMax" : 113200, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Network deployment", "Infrastructure cabling", "Hardware racking", "Hardware stacking", "Data center operations", "Project execution", "Capacity management", "Technical Project Management", "Enterprise class networks", "Network implementation", "Network troubleshooting", "AWS network infrastructure", "CompTIA", "CCENT", "Network+", "Ticketing system" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 496.6591, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69fe94fd4c40e2acd11217a3", "title" : "Network Deploy Technician", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Data Center Operations, Cloud Computing", "salary" : { "min" : 30.0, "max" : 54.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "timestamp" : "2026-06-15T06:14:53.188", "fingerprint" : "48e46ced168873ad6fb848497d5537bcb1826662c9d436c053992acf28553aa0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10415383/apply", "externalId" : "61fd05f8-e1f2-4116-a47d-2e5b7ddde161", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Networking, Linux, Routing, Interconnectivity", "professionalSkills" : [ "Capacity management", "Time management", "Prioritization" ], "hardSkillsList" : [ "Network implementation", "Troubleshooting", "Documentation methodology", "Cabling infrastructure" ], "hardSkills" : [ { "name" : "Network implementation", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Documentation methodology", "level" : "intermediate" }, { "name" : "Cabling infrastructure", "level" : "intermediate" } ], "majorSkills" : "Network deployment, Network troubleshooting, Hardware configuration", "majorSkillsList" : [ "Network deployment", "Network troubleshooting", "Hardware configuration" ], "coreResponsibilities" : "Participate migration hardware, Configure new hardware, Rollout new hardware, Upgrade hardware, Manage work priorities, Complete customer requests, Complete projects, Work with Network Engineering, Work with Network TPM, Ensure smooth rollout, Troubleshoot networking issues, Troubleshoot routing issues, Troubleshoot inter connectivity issues, Troubleshoot device configuration, Troubleshoot application interaction, Troubleshoot cabling infrastructure, Establish best practices, Refine operational procedures", "teamCollaboration" : "Network Engineering teams; Network TPM teams; Peer interaction; Customer interaction", "domainKnowledge" : "Enterprise class networks; Next-generation networks; Data center networks; AWS GovCloud", "domainList" : [ "enterprise-class-networks", "next-generation-networks", "data-center-networks", "aws-govcloud" ], "domainSpecificKnowledge" : [ "Enterprise class networks", "Next-generation networks", "Data center networks", "AWS GovCloud" ], "toolProficiency" : [ "Ticketing system" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Proven documentation methodology", "innovationCreativity" : "Automate networks; Scale networks", "problemSolvingSkills" : "Problem resolution; Troubleshooting", "specialRequirements" : "Up to 20% travel, Travel outside work area, Lift 40 pounds, Group lifts 41+ pounds, Walk job sites uneven terrain, Work safely heights, Work from ladders, Logical access restricted, US Citizens only", "qualificationsBasic" : "1+ years computer networking, 1+ years Linux operating systems, Bachelor's degree IT, Experience computer networking, Experience Linux operating systems, Lift and rack equipment, Experience hardware troubleshooting", "qualificationsPreferred" : "Work in cramped spaces, Work in elevated locations, Adhere to health safety, Deal with customers problem resolution, Operate efficiently under pressure", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Web Services (AWS) is looking for a Network Technician to join our growing team within infrastructure operations. You will work in a dynamic environment to drive the stability and sustainability of our next-generation networks and assist in the development of innovative ways to automate and scale our network. The position's responsibilities include scaling support of several data center locations and day to day assistance with capacity management. Our ideal candidate is sufficiently autonomous, detail oriented, possesses strong written and verbal communication skills and has some experience in supporting large scale, enterprise class networks. Network implementation and troubleshooting skills combined with a proven documentation methodology is also a requirement. You will leverage your experience supporting large scale, enterprise class networks as well as network implementation and troubleshooting. As a Network Technician you will work in a fast paced, collaborative environment with regular peer and customer interaction. In addition to providing management and support of Amazon Web Services vast network infrastructure, Network Technicians establish and follow best practices and refine operational procedures. Logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States) *Daily responsibilities include:* * Participate in the migration, basic configuration and rollout of new or upgraded hardware. * Manage work and priorities through ticketing system and workflows to complete customer requests and projects. * Work closely with our Network Engineering & Network Technical Project Manager teams to ensure fast, smooth rollout of established designs and products. * Troubleshoot networking, routing and inter connectivity issues, including troubleshooting of network device configuration and low level application interaction. * Up to 20% travel within geographical work area may be required. Some travel outside traditional work area may be requested. * Troubleshooting cabling infrastructure connectivity issues, including patch panels and patch cords. *Other Qualifications & Responsibilities* * Experience dealing with customers during problem resolution and operating efficiently under pressure * Effective prioritization and time management *Physical requirements* Any physical requirements are expectations with reasonable accommodations. * The ability to sit in front of computer for entire scheduled 8-hour shift with appropriate breaks while maintaining a high level of alertness and attention to detail * Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41 pounds or more * Walk job sites in uneven terrain * Work safely at heights and from ladders #DCPD_GND Basic Qualifications: - 1+ years of computer networking experience - 1+ years of Linux operating systems experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair Preferred Qualifications: - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) 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, VA, Herndon - 30.00 - 54.00 USD hourly", "summaryDescription" : "Network Deploy Technician at Amazon Data Services, Inc.. Skills: Network deployment, Network troubleshooting, Hardware configuration. Participate migration hardware. Configure new hardware", "postedDate" : "2026-06-13T19:45:52.045", "createdAt" : "2026-06-13T19:45:52.045", "lastUpdated" : "2026-06-15T06:14:53.188", "ingestTimestamp" : "2026-06-13T19:45:52.045", "mongoId" : "69fe94fd4c40e2acd11217a3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10415383/apply", "salaryAnnualMin" : 62400, "salaryAnnualMax" : 112320, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Network implementation", "Troubleshooting", "Documentation methodology", "Cabling infrastructure", "Network deployment", "Network troubleshooting", "Hardware configuration", "Capacity management", "Time management", "Prioritization", "Enterprise class networks", "Next-generation networks", "Data center networks", "AWS GovCloud", "Ticketing system" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 495.9309, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706987fc9a711f0f6fdd9", "title" : "Network Deploy Technician", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Data Center Operations, Cloud Computing", "salary" : { "min" : 55900.0, "max" : 125100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boardman, Oregon, USA", "locations" : [ "Boardman, Oregon, USA" ], "timestamp" : "2026-06-15T07:11:56.251", "fingerprint" : "b2222fbb7ad28b5769941169ce022f253b146caabcfb0270cee2ea8250270816", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3053040/apply", "externalId" : "a3db3fb1-df73-4687-aea4-4af038d4cdf0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boardman", "state" : "Oregon", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.8398550,-119.7005830" } ], "locationText" : "Boardman, Oregon, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. At Amazon, we're working to be Earth's most Customer-centric Company and Earth's Best Employer. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build and expand the Cloud, this is your chance to make history. AWS is looking for a Network Deploy Technician to join our growing team within infrastructure operations. You will work with minimum supervision in a dynamic environment to drive the stability and sustainability of our next-generation networks and assist in the development of innovative ways to automate and scale our network. The position's responsibilities include scaling support of several data center locations and day to day assistance with capacity management. You will work closely with internal customers and external vendors to facilitate smooth project execution as directed by Network Leadership and Technical Project Managers. You will leverage your experience supporting large scale, enterprise class networks as well as network implementation and troubleshooting. As a Network Deploy Technician, you will work in a fast paced, collaborative environment with regular peer and customer interaction. In addition to providing management and support of AWS’ vast network infrastructure, Network Deploy Technicians establish and follow best practices and refine operational procedures. All physical requirements are expected with reasonable accommodations: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed • Working in cramped and/or elevated and/or noisy environments • Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day • Ascending and descending ladders, stairs, and gangways safely and without limitation NOTE: Amazon is not able to provide sponsorship now or in the future for these positions. Eligible candidates must have work authorization without employer intervention to be considered. NOTE: If applying for positions in Oregon (OR) and Ohio (OH), these sites are within AWS GovCloud region. Effective May 15, 2017, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens (GovCloud may NOT be accessed from outside of the United States). #DCPD_GND Key job responsibilities • Managing work and priorities through ticketing system and workflows to complete customer requests and projects • Collaborating with various stakeholders to remove project obstacles • Troubleshooting networking, routing and interconnectivity issues, including patch panels and patch cords • Specifying Power and Cooling requirements and ensuring Hardware Racking/Stacking completed for new equipment • Participating in the migration, basic configuration and rollout of new or upgraded hardware Traveling within and outside of regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided. A day in the life 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. 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. 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 (gender 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: - High school or equivalent diploma - 1+ year or experience in any of the following or similar technical or vocational roles: Computer Hardware Repair, Infrastructure Cabling, Network Deployment, Data Center Operations, Technical Project Management Preferred Qualifications: - Data center experience Industry standard certifications (CompTIA, CCENT, Network+,) - Knowledge of network cabling, optic types, and test equipment - Experience with common tools related to network troubleshooting, including VFLs, OTDR and power meters - Understanding of infrastructure technologies, including Routers, Switches, Load Balancers and Firewalls - Knowledge of major Command Line Protocols (Cisco IOS, JunOS, GNU/Linux) and common Networking Protocols (BGP, OSPF) 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $55,900/year in our lowest geographic market up to $125,100/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" : "Network Deploy Technician at Amazon Data Services, Inc.", "postedDate" : "2026-06-13T19:08:17.881", "createdAt" : "2026-06-13T19:08:17.881", "lastUpdated" : "2026-06-15T07:11:56.251", "ingestTimestamp" : "2026-06-13T19:08:17.881", "mongoId" : "68b706987fc9a711f0f6fdd9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3053040/apply", "salaryAnnualMin" : 55900, "salaryAnnualMax" : 125100, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 494.97388, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb01a74d8ee00a09d8d07", "title" : "Forward Deployed Engineer", "company" : "Beacon Software", "industry" : "Engineering", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Forward Deployed Engineer in New York, USA within the SaaS industry, adjusted for company size and full-time employment." }, "location" : "New York, NY", "locations" : [ "New York, NY" ], "timestamp" : "2026-06-15T10:49:26.752", "fingerprint" : "afcaa2e115699915debdc4c40cd6c88a487472e8a1fff5a3f511714e1061dc3f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/beaconsoftware/dadb4654-dc89-4bc2-ae32-7d226423fb7d/application", "externalId" : "dadb4654-dc89-4bc2-ae32-7d226423fb7d", "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", "employmentType" : "FULL_TIME", "technicalSkills" : "TypeScript, Python, React, SQL, LLM, Foundation models", "professionalSkills" : [ "Agentic software", "Full-stack development", "Customer engagement", "Business operations", "Data integration", "Workflow automation", "Prompt engineering", "System tuning", "Pattern codification", "Relationship management" ], "hardSkillsList" : [ "Full-stack development", "Backend development", "Frontend development", "SQL fluency", "LLM engineering", "Agentic workflow development", "Prompt tuning", "Autonomy tier adjustment", "Pattern extraction", "Business analysis" ], "softSkillsList" : [ "Customer-obsessed", "High autonomy", "Low ego", "Operator instincts", "Generalist engineer" ], "hardSkills" : [ { "name" : "Full-stack development", "level" : "intermediate" }, { "name" : "Backend development", "level" : "intermediate" }, { "name" : "Frontend development", "level" : "intermediate" }, { "name" : "SQL fluency", "level" : "intermediate" }, { "name" : "LLM engineering", "level" : "intermediate" }, { "name" : "Agentic workflow development", "level" : "intermediate" }, { "name" : "Prompt tuning", "level" : "intermediate" }, { "name" : "Autonomy tier adjustment", "level" : "intermediate" }, { "name" : "Pattern extraction", "level" : "intermediate" }, { "name" : "Business analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer-obsessed" }, { "name" : "High autonomy" }, { "name" : "Low ego" }, { "name" : "Operator instincts" }, { "name" : "Generalist engineer" } ], "majorSkills" : "Agentic software, LLM engineering, Full-stack development, Customer engagement", "majorSkillsList" : [ "Agentic software", "LLM engineering", "Full-stack development", "Customer engagement" ], "coreResponsibilities" : "Embed deeply with portcos, Understand operating model, Earn trust of operators, Identify leverage workflows, Ship agentic software, Build integrations, Build prompts, Build evals, Build workflows, Build UI surfaces, Extend platforms, Operate the loop, Watch outcomes, Tune prompts, Adjust autonomy tier, Hand off cleanly, Bring patterns back to HQ, Codify what worked, Ship playbooks, Carry GM relationship, Build trust with GM, Set expectations with GM, Make system leverage", "teamCollaboration" : "Embedded with portcos; Work with operators; Work with customer success; Work with GM; Bring patterns back to HQ", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Vertical SaaS; Private equity operations; Agentic operating system; Data lake; Feature store; Agent-readable data; Action layer workflows; Portfolio operations; Value creation; Deal sourcing; Foundation models; Agentic systems; Autonomy tier; Home-services SaaS", "domainList" : [ "vertical-saas", "private-equity-operations", "agentic-operating-system", "data-lake", "feature-store", "agent-readable-data", "action-layer-workflows", "portfolio-operations", "value-creation", "deal-sourcing", "foundation-models", "agentic-systems", "autonomy-tier", "home-services-saas" ], "domainSpecificKnowledge" : [ "Vertical SaaS", "Private equity operations", "Agentic operating system", "Data lake", "Feature store", "Agent-readable data", "Action layer workflows", "Portfolio operations", "Value creation", "Deal sourcing", "Foundation models", "Agentic systems", "Autonomy tier", "Home-services SaaS" ], "toolProficiency" : [ "Snowflake", "Databricks" ], "communicationSkills" : "Writing; GM updates; Playbook writing", "documentationSkills" : "Playbook documentation", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "On-site presence, Meaningful fraction on-site", "outcomesObjectives" : "Ship agentic software; Land first agentic loop; Compress learnings into playbooks; 10x faster deployments", "qualificationsBasic" : "Full-stack TypeScript or Python, React on the frontend, SQL fluently, Comfortable in codebase within a day, Shipped real software using foundation models, Read a P&L, Understand churn-save importance, Write wedge memo, Write GM update, Write post-deployment retro, Write playbook", "qualificationsPreferred" : "Prior FDE experience, PE exposure, Consulting exposure, M&A diligence exposure, Post-LOI integration cadence, Comfort with Iceberg-based data platforms, Built or operated agentic systems in production, Evals, Autonomy gating, Outcome tracking", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT BEACON SOFTWARE Beacon https://beaconsoftware.com is acquiring and operating a portfolio of vertical SaaS companies. Most private equity firms scale by adding people. We are building Beacon to scale by adding software. The thesis is simple: portfolio operations, value creation, and deal sourcing are bottlenecked by human attention, and an agentic operating system can lift that ceiling by an order of magnitude. We are building that system. It has two pieces. A sensing layer is a cross-portfolio data lake on open table formats with a feature store on top that makes the data agent-readable. An action layer runs workflows across three domains: how we run the portfolio, how we grow the portfolio, and how we acquire into it. Underneath both sits a feedback loop that captures every action and outcome with stable identifiers. Beacon has raised $550M+ from investors including General Catalyst, Lightspeed, D1 Capital, CPMG, and the family offices of the founders of Stripe, DoorDash, and Ramp. ABOUT THE ROLE Forward Deployed Engineers (FDEs) are the engineers who go where the work is. You will be embedded with one or two portfolio companies at a time — sitting with the GM, the operators, and the customer success lead — figuring out where the leverage is, and shipping agentic software directly into their operation. The platforms exist. You are the person who turns them into outcomes on a specific business. This is a Palantir-style FDE role applied to private equity operations. You will spend a meaningful fraction of your time on-site or in the portco’s tools, and the rest of your time back at Beacon HQ pulling the patterns you learned back into the platform. The best FDEs at Beacon will not just deliver for the portcos they are deployed at — they will compress what they learned into reusable playbooks that ship to every other portco in the same vertical. This is not a consulting role. We ship software, not slides. The deliverable is a running system. WHAT YOU'LL DO - Embed deeply with portcos. Spend the first few weeks at a new portco understanding the operating model from the inside: what the GM cares about, where revenue actually comes from, where the team’s time goes, where the system is leaking. Earn the trust of the operators before you start changing things. - Find the leverage. Identify the 2–3 workflows where agentic software will meaningfully change the trajectory of the business — churn-save, pricing experiments, lead enrichment, support deflection, AR follow-up, bug-fix PRs, weekly pulse, whatever the specific portco needs. Pick the wedge, not the wish list. - Ship the wedge. Build the integrations, the prompts, the evals, the workflows, and the UI surfaces required to land the first agentic loop at that portco. Use the platforms our core engineering team is building, and extend them when they fall short. - Operate the loop. Stay close to the system after it ships. Watch the outcomes. Tune the prompts. Adjust the autonomy tier as the system earns trust. Hand off cleanly to portfolio ops once the loop is stable. - Compound the learnings. Bring the patterns back to HQ. Codify what worked into playbooks that ship to every other portco in the vertical. The 11th deployment in a home-services SaaS should be 10x faster than the 1st, and that compression is your job as much as the engineers building the platform. - Carry the GM relationship. You are the technical face of Beacon to the portco GM. Build the trust, set the expectations, and make sure the GM sees the system as their leverage — not Beacon’s audit tool. WHO YOU ARE - A strong generalist engineer. You can ship full-stack TypeScript or Python on the backend, React on the frontend, SQL fluently, comfortable in someone else’s codebase within a day. You do not need to be a specialist in any one stack. You need to be the person who can land the whole thing. - Customer-obsessed. You like being in the room with the operator, the GM, the customer success lead. You take the problem they actually have, not the problem they described. You are not interested in building platforms that no one uses. - High autonomy, low ego. You will be the only Beacon engineer on the ground at a portco most of the time. You need to make calls without a committee, defend them when challenged, and change your mind when you are wrong. - Comfortable with LLM-native engineering. You have shipped real software using foundation models — not toy demos. You know how to write evals, when to fine-tune, how to keep an agentic workflow from going off the rails, and where the autonomy tier should sit for any given action class. - Operator instincts. You can read a P&L. You understand why a churn-save matters more than a feature launch this quarter. You know that a 5-point improvement in support deflection is worth more than a 50-point improvement in code-review velocity, depending on the business. - Strong written communicator. Beacon runs on writing. You will write the wedge memo, the GM update, the post-deployment retro, the playbook that ships to every other portco. If your writing is fuzzy, the system stays fuzzy. BONUS POINTS - Prior FDE experience - PE, consulting, or M&A diligence exposure, particularly the post-LOI integration cadence - Comfort with Iceberg-based data platforms (Snowflake, Databricks) and event-driven systems - Built or operated agentic systems in production, including evals, autonomy gating, and outcome tracking Our Values at Beacon Software - Humility: We acknowledge that the path to getting to the right answer involves being wrong along the way. We have strong beliefs which are weakly held. We actively seek new ideas and believe we can learn from anyone at any time. - Honesty: We are truth seeking in our approach to business problems. Business is a repeat game and we believe that human relationships generate alpha. We understand that trust is earned over a lifetime and can be lost in an instant. - Hunger: We play to win. We hold ourselves to high standards and will not be outworked. We take pride in having a deep sense of responsibility to ourselves, each other, our partners, and our customers. We believe to whom much is given much is expected. - Horizon: We seek to build a generational software company. This will take decades. We manage our expectations and those of our partners to take advantage of the 8th wonder of the world - compounding growth. How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Beacon Software uses Artificial Intelligence and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role. AI does not make hiring decisions: Every application is reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.", "summaryDescription" : "Forward Deployed Engineer at Beacon Software. Skills: Agentic software, LLM engineering, Full-stack development, Customer engagement. Embed deeply with portcos. Understand operating model", "createdAt" : "2026-06-13T23:42:44.798", "lastUpdated" : "2026-06-15T10:49:26.752", "ingestTimestamp" : "2026-06-13T23:42:44.798", "mongoId" : "6a2cb01a74d8ee00a09d8d07", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Full-stack development", "Backend development", "Frontend development", "SQL fluency", "LLM engineering", "Agentic workflow development", "Prompt tuning", "Autonomy tier adjustment", "Pattern extraction", "Business analysis", "Customer-obsessed", "High autonomy", "Low ego", "Operator instincts", "Generalist engineer", "Agentic software", "Customer engagement", "Business operations", "Data integration", "Workflow automation", "Prompt engineering", "System tuning", "Pattern codification", "Relationship management", "Roadmap planning", "Vertical SaaS", "Private equity operations", "Agentic operating system", "Data lake", "Feature store", "Agent-readable data", "Action layer workflows", "Portfolio operations", "Value creation", "Deal sourcing", "Foundation models", "Agentic systems", "Autonomy tier", "Home-services SaaS", "Snowflake", "Databricks" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 494.11978, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "69d5e4952beec4dd3d9317d6", "title" : "SDE-II, Query Processing, Aurora DSQL", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 143700.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T04:44:52.462", "fingerprint" : "25baf8092ba02c68df668c2266e4730e7b88656be3a32e5637bc258ed5f151f7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385689/apply", "externalId" : "0033e86a-81db-4acd-ba64-5096f1379461", "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" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "C#, C++, Java, Perl", "professionalSkills" : [ "System design", "Query optimization", "Cost-based optimization" ], "hardSkillsList" : [ "Database system internals", "Query optimizer architectures", "Distributed systems" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Database system internals", "level" : "intermediate" }, { "name" : "Query optimizer architectures", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Query processing, Database internals, Distributed systems", "majorSkillsList" : [ "Query processing", "Database internals", "Distributed systems" ], "coreResponsibilities" : "Enhance query optimization layer, Enhance query execution layer, Design query optimization algorithms, Implement query optimization algorithms, Design cost-based optimization strategies, Implement cost-based optimization strategies, Improve core execution engine, Solve challenging technical problems, Design software solutions, Implement software solutions, Test software solutions, Deploy software solutions, Maintain software solutions, Build high-quality products, Build highly available products, Build always-on products, Research implementations, Create metrics, Implement automation, Resolve root cause of defects, Build high-impact solutions, Participate in design discussions, Participate in code review, Communicate with stakeholders, Work cross-functionally, Drive business decisions", "teamCollaboration" : "Collaborate across diverse teams; Communicate with internal stakeholders; Communicate with external stakeholders; Work cross-functionally", "domainKnowledge" : "Database system internals; Query optimizer architectures; Distributed SQL database; Serverless databases; High availability systems", "domainList" : [ "database-system-internals", "query-optimizer-architectures", "distributed-sql-database", "serverless-databases", "high-availability-systems" ], "domainSpecificKnowledge" : [ "Database system internals", "Query optimizer architectures", "Distributed SQL database", "Serverless databases", "High availability systems" ], "continuousLearning" : "Mentorship programme", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "3+ years software development experience, 2+ years system design or architecture, 1+ years software development engineer experience, 1+ years designing distributed software applications, 1+ years Object Oriented Design experience, Bachelor's degree or foreign equivalent, Experience programming with at least one language", "qualificationsPreferred" : "3+ years full software development life cycle experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Aurora DSQL is a serverless, distributed SQL database with virtually unlimited scale, highest availability, and zero infrastructure management. Aurora DSQL provides active-active high availability, providing strong data consistency designed for 99.99% single-Region and 99.999% multi-Region availability. Aurora DSQL automatically manages and scales system resources, so you don't have to worry about maintenance downtime and provisioning, patching, or upgrading infrastructure. We are seeking an engineer to enhance the query optimization and execution layer of Aurora DSQL. The role focuses on designing and implementing query optimization algorithms, cost-based optimization strategies, and core execution engine improvements. The ideal candidate has experience with database system internals and query optimizer architectures. Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You’ll bring a passion for innovation, data, search, analytics, and distributed systems. You’ll also: Solve challenging technical problems, often ones not solved before, at every layer of the stack. Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. Build high-quality, highly available, always-on products. Research implementations that deliver the best possible experiences for customers. A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also: - Build high-impact solutions to deliver to our large customer base. - Participate in design discussions, code review, and communicate with internal and external stakeholders. - Work cross-functionally to help drive business decisions with your technical input. - Work in a startup-like development environment, where you’re always working on the most important stuff. About the team 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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. 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. About 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 conferences, inspire us to never stop embracing our uniqueness. 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. 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. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer 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, East Palo Alto - 165,200.00 - 223,600.00 USD annually USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "SDE-II, Query Processing, Aurora DSQL at Amazon.com Services LLC. Skills: Query processing, Database internals, Distributed systems. Enhance query optimization layer. Enhance query execution layer", "postedDate" : "2026-06-13T10:23:42.943", "createdAt" : "2026-06-13T10:23:42.943", "lastUpdated" : "2026-06-15T04:44:52.462", "ingestTimestamp" : "2026-06-13T10:23:42.943", "mongoId" : "69d5e4952beec4dd3d9317d6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385689/apply", "salaryAnnualMin" : 143700, "salaryAnnualMax" : 194400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Database system internals", "Query optimizer architectures", "Distributed systems", "Mentoring", "Query processing", "Database internals", "System design", "Query optimization", "Cost-based optimization", "Distributed SQL database", "Serverless databases", "High availability systems" ], "skillCount" : 12, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 493.38565, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c8cfe74d8ee00a0977dde", "title" : "Engineering Manager (API Platform)", "company" : "Perplexity", "industry" : "API Platform", "salary" : { "min" : 300000.0, "max" : 405000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T04:26:43.015", "fingerprint" : "5b34939c247167f120c0fb523eef34fb1cf22ef3bb85c7f7f3da642d3d9c1a45", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/perplexity/29625b7a-5470-463b-8446-21fac84e80b9/application", "externalId" : "29625b7a-5470-463b-8446-21fac84e80b9", "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" : 8, "experienceLevel" : "Manager", "technicalSkills" : "Python, Go, Rust, API design, AI APIs", "professionalSkills" : [ "Technical leadership", "Team leadership", "Performance optimization", "Agent orchestration", "Developer experience", "Agent experience", "Technical strategy", "Organizational skills", "Prioritization decisions" ], "hardSkillsList" : [ "Schema evolution", "Versioning", "Idempotency", "Authentication patterns", "Rate limiting", "Performance tuning", "Latency tuning", "Model orchestration", "Technical tradeoffs" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Schema evolution", "level" : "intermediate" }, { "name" : "Versioning", "level" : "intermediate" }, { "name" : "Idempotency", "level" : "intermediate" }, { "name" : "Authentication patterns", "level" : "intermediate" }, { "name" : "Rate limiting", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Latency tuning", "level" : "intermediate" }, { "name" : "Model orchestration", "level" : "intermediate" }, { "name" : "Technical tradeoffs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "API Platform, Distributed systems, AI infrastructure", "majorSkillsList" : [ "API Platform", "Distributed systems", "AI infrastructure" ], "coreResponsibilities" : "Provide technical leadership, Provide team leadership, Design mission-critical APIs, Build mission-critical APIs, Operate mission-critical APIs, Reimagine customer needs, Serve customer workloads, Drive product reliability, Drive code quality, Drive AI evaluation, Drive testing, Drive maintenance, Oversee hiring, Oversee onboarding, Oversee mentorship, Develop rigorous interview pipelines, Work closely with recruiting, Source candidates, Collaborate across teams, Incorporate novel capabilities, Improve existing capabilities, Track progress toward business goals", "teamCollaboration" : "Collaborate across teams; Coordinate with executives", "projectManagementSkills" : [ "Prioritization decisions" ], "domainKnowledge" : "Frontier intelligence; Exabyte-scale knowledge indexes; Codegen-first agent runtimes; Distributed systems; AI systems; Retrieval; Orchestration; API development; High-traffic API design; Modern AI APIs; Model orchestration", "domainList" : [ "frontier-intelligence", "exabyte-scale-knowledge-indexes", "codegen-first-agent-runtimes", "distributed-systems", "ai-systems", "retrieval", "orchestration", "api-development", "high-traffic-api-design", "modern-ai-apis", "model-orchestration" ], "domainSpecificKnowledge" : [ "Frontier intelligence", "Exabyte-scale knowledge indexes", "Codegen-first agent runtimes", "Distributed systems", "AI systems", "Retrieval", "Orchestration", "API development", "High-traffic API design", "Modern AI APIs", "Model orchestration" ], "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Scale to meet growth", "qualificationsBasic" : "8+ years of engineering experience, 3+ years as an engineering manager, Proficiency in Python, Manage engineering teams, Recruit engineering talent, Grow engineering talent, Retain engineering talent, Develop rigorous interview pipelines, Work closely with recruiting, Source candidates", "qualificationsPreferred" : "Proficiency in Go, Proficiency in Rust, Experience with modern AI APIs, Customer empathy, Product sense", "rawDescription" : "PERPLEXITY API PLATFORM Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds. ABOUT THIS ROLE Perplexity is seeking a strong technical leader to steer the API Platform engineering team through a rapid period of growth. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces. You and your team will work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.). This role is ideal for seasoned engineering managers who are unusually passionate about providing the world with programmatic access to the building blocks of frontier intelligence. KEY RESPONSIBILITIES - Provide both technical and team leadership across multiple layers of our rapidly growing API business. - Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence. - Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today. - Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team. - Oversee hiring, onboarding, and mentorship for a rapidly growing team; develop rigorous interview pipelines and work closely with recruiting to source candidates. - Collaborate across teams to incorporate novel frontier capabilities into the API Platform and improve existing capabilities for API customer needs. - Track and ensure progress toward top-line business goals, in close coordination with engineering and business executives. QUALIFICATIONS - Entrepreneurial attitude; able and eager to run more than just engineering. - Proficiency in Python (bonus points for Go and/or Rust). - Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning. - Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards) is a strong plus. - Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike. - Strong organizational skills for managing and delivering parallel technical projects; ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical. - Experience managing engineering teams, including recruiting, growing, and retaining high-caliber talent. - 8+ years of engineering experience, with at least 3 of those years as an engineering manager.", "summaryDescription" : "Engineering Manager (API Platform) at Perplexity. Skills: API Platform, Distributed systems, AI infrastructure. Provide technical leadership. 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Network Technical Project Manager teams; Peer interaction; Customer interaction", "projectManagementSkills" : [ "Workflows" ], "domainKnowledge" : "Data center networks; Enterprise class networks; Network infrastructure", "domainList" : [ "data-center-networks", "enterprise-class-networks", "network-infrastructure" ], "domainSpecificKnowledge" : [ "Data center networks", "Enterprise class networks", "Network infrastructure" ], "toolProficiency" : [ "Ticketing system" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Documentation methodology", "innovationCreativity" : "Innovative ways to automate; Scale network", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Up to 20% travel, On-call rotation, After-hours support, Regional travel, Lift up to 40 pounds, Group lifts 41+ pounds, Work at heights, Work from ladders", "qualificationsBasic" : "High school or equivalent diploma, 2+ years data center experience, Associate's degree or Certifications, 2+ years network cabling experience, 2+ years cabling infrastructure experience", "qualificationsPreferred" : "2+ years computer networking experience, 2+ years large-scale networking experience, 2+ years IT best practice frameworks, Meets Amazon leadership principles, Meets Amazon functional depth", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Web Services (AWS) is looking for an Infrastructure Delivery Network Technician to join our growing team within infrastructure operations. By applying to this position your application will be considered for all locations we hire for in the United States. This includes, but is not limited to: VA (Manassas, Herndon, Chantilly, Auburn), OR (Boardman, Umatilla, Hermiston), OH (Columbus), CA (Santa Clara), given availability. This position requires the successful candidate report to a site location. As a Data Center Network Technician, you will work in a dynamic environment to drive the stability and sustainability of our next-generation networks and assist in the development of innovative ways to automate and scale our network. The position's responsibilities include scaling support of several data center locations and day to day assistance with capacity management. Our ideal candidate is sufficiently autonomous, detail oriented, possesses strong written and verbal communication skills and has some experience in supporting large scale, enterprise class networks. Network implementation and troubleshooting skills combined with a proven documentation methodology is also a requirement. You will leverage your experience supporting large scale, enterprise class networks as well as network implementation and troubleshooting. As a Network Technician you will work in a fast paced, collaborative environment with regular peer and customer interaction. In addition to providing management and support of Amazon Web Services vast network infrastructure, Network Technicians establish and follow best practices and refine operational procedures. Daily responsibilities include: • Participate in the migration, basic configuration and rollout of new or upgraded hardware • Manage work and priorities through ticketing system and workflows to complete customer requests and projects • Work closely with our Network Engineering & Network Technical Project Manager teams to ensure fast, smooth rollout of established designs and products • Troubleshoot networking, routing and inter connectivity issues, including troubleshooting of network device configuration and low level application interaction • Up to 20% travel within geographical work area may be required; some travel outside traditional work area may be requested • Troubleshooting cabling infrastructure connectivity issues, including patch panels and patch cords All physical requirements are expected with reasonable accommodations: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41 pounds or more • Ability to work in an environment that operates 24/7 with an ability to participate in on-call rotation and provide after-hours support as needed • Some regional travel may be required • Walk job sites in uneven terrain • Work safely at heights and from ladders NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. NOTE: If applying for positions in Oregon (OR) and Ohio (OH), these sites are within AWS GovCloud region. Effective May 15, 2017, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens (GovCloud may NOT be accessed from outside of the United States). #DCPD_GND Basic Qualifications: - High school or equivalent diploma - 2+ years of relevant work in a data center or other critical environment experience - Associate's degree in Computer Science, Information Systems or related field; or Certifications in a relevant field (CCENT, Network+, CCNA) - 2+ years of experience with network cabling, optic types, and test equipment (VFL, power meter, and OTDR etc.) - 2+ years of experience with cabling infrastructure best practices and methodologies Preferred Qualifications: - 2+ years of computer networking experience - 2+ years of work in large-scale networking environments experience - 2+ years of experience working with IT best practice frameworks (ITIL, LEAN, AGILE) - Meets/exceeds Amazon’s leadership principles requirements for this role - Meets/exceeds Amazon’s functional/technical depth and complexity 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $50,600/year in our lowest geographic market up to $113,200/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" : "Network Deploy Technician at Amazon Data Services, Inc.. Skills: Network deployment, Infrastructure operations, Network troubleshooting. Participate in migration. Basic configuration hardware", "postedDate" : "2026-06-13T16:59:33.057", "createdAt" : "2026-06-13T16:59:33.057", "lastUpdated" : "2026-06-15T07:59:54.182", "ingestTimestamp" : "2026-06-13T16:59:33.057", "mongoId" : "68e6b1d970f0b99d58d66b08", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3103182/apply", "salaryAnnualMin" : 50600, "salaryAnnualMax" : 113200, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Network cabling", "Optic types", "Test equipment", "Autonomous", "Written communication", "Verbal communication", "Network deployment", "Infrastructure operations", "Network troubleshooting", "Capacity management", "Network implementation", "Troubleshooting", "Workflows", "Data center networks", "Enterprise class networks", "Network infrastructure", "CCENT", "Network+", "CCNA", "Ticketing system" ], "skillCount" : 20, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 491.79333, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2cb02474d8ee00a09d902d", "title" : "Founding Forward Deployed Engineer", "company" : "JAMPACK", "industry" : "Engineering", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Founding Forward Deployed Engineer in the SaaS industry in New York, United States, adjusted for seniority and company size." }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-16T05:47:14.088", "fingerprint" : "6c008dde1bc344f21a51ee487315739cfcae9152a9706bfa501f82ce20bcb23b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jampack-ai/fe5ceb6d-d0d8-420c-acda-f33a5c320fa2/application", "externalId" : "fe5ceb6d-d0d8-420c-acda-f33a5c320fa2", "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", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "APIs, Data models, SQL", "professionalSkills" : [ "Systems thinker", "Customer partnership" ], "hardSkillsList" : [ "EDI integration", "ERP integration", "Inventory system integration", "Accounting integration", "Freight integration" ], "hardSkills" : [ { "name" : "EDI integration", "level" : "intermediate" }, { "name" : "ERP integration", "level" : "intermediate" }, { "name" : "Inventory system integration", "level" : "intermediate" }, { "name" : "Accounting integration", "level" : "intermediate" }, { "name" : "Freight integration", "level" : "intermediate" } ], "majorSkills" : "Forward deployed engineering, Customer onboarding, Technical implementation", "majorSkillsList" : [ "Forward deployed engineering", "Customer onboarding", "Technical implementation" ], "coreResponsibilities" : "Own customer onboarding end to end, Embed with operators, Map purchase-order-to-cash workflow, Surface requirements, Design setup on Jampack, Build integrations, Troubleshoot integrations, Translate operational requirements, Create data models, Create configurations, Develop new product capabilities, Act as technical bridge, Turn field learnings into product", "teamCollaboration" : "Customer engineering teams", "projectManagementSkills" : [ "Implementation lifecycle management" ], "domainKnowledge" : "Wholesale operations; CPG operations; Supply chain; Logistics; EDI; ERP; Inventory systems; Accounting; Freight coordination; Purchase order ingestion; Invoicing; Payment reconciliation", "domainList" : [ "wholesale-operations", "cpg-operations", "supply-chain", "logistics", "edi", "erp", "inventory-systems", "accounting", "freight-coordination", "purchase-order-ingestion", "invoicing", "payment-reconciliation" ], "domainSpecificKnowledge" : [ "Wholesale operations", "CPG operations", "Supply chain", "Logistics", "EDI", "ERP", "Inventory systems", "Accounting", "Freight coordination", "Purchase order ingestion", "Invoicing", "Payment reconciliation" ], "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "3+ years in forward deployed engineering, 3+ years in solutions engineering, 3+ years in implementation engineering, 3+ years in technical onboarding, Comfortable with APIs, Comfortable with data models, Comfortable with SQL, Able to debug, Able to read code, Able to write code", "qualificationsPreferred" : "CPG experience, Supply chain experience, Logistics experience, ERP/integrations experience", "rawDescription" : "ABOUT JAMPACK Wholesale is 7x the size of e-commerce, yet the infrastructure is stuck in the 1990s. We're building the agentic operating system for wholesale that replaces spreadsheets, email chains, and manual data entry with autonomous workflows that just work. We recently raised a $3.2M seed round led by Maveron. Jampack already powers high-growth brands like Fishwife, Immi, and PATH — handling everything from purchase order ingestion to freight coordination to invoicing and payment reconciliation. We're a small, high-agency team building what doesn't exist yet. THE ROLE Our forward deployed team is how we turn a signed customer into one who can't imagine operating without us. As a Forward Deployed Engineer, you sit at the intersection of engineering, operations, and customer partnership — embedding directly with CPG ops teams to map how their wholesale operation actually runs, then making Jampack run it. This role is for someone who thrives in ambiguity, moves fast, and is genuinely curious about hard operational problems. You'll own the implementation lifecycle from kickoff through go-live — and you won't just configure the platform, you'll extend it. WHAT YOU'LL DO - Own customer onboarding end to end — discovery, integration, configuration, testing, and go-live — across our growing CPG customer base - Embed with operators to map their full purchase-order-to-cash workflow, surface requirements, and design the right setup on Jampack - Build and troubleshoot the integrations that make it all work — across EDI, ERP and inventory systems, accounting, and freight - Translate messy, real-world operational requirements into clean data models, configurations, and new product capabilities - Be the technical bridge between customers and engineering — turning what you learn in the field into a sharper product WHAT WE'RE LOOKING FOR - 3+ years in forward deployed, solutions, or implementation engineering, technical onboarding, or a similar customer-facing technical role (CPG, supply chain, logistics, or ERP/integrations experience is a big plus) - Technical from first principles — comfortable with APIs, data models, SQL, and debugging integrations; you can read and write code when you need to - A systems thinker who can untangle interconnected people, process, and technology problems and put them back together with clarity - You thrive in ambiguity, move fast, and take ownership of outcomes — not just outputs - You care about the problem as much as the technology", "summaryDescription" : "Founding Forward Deployed Engineer at JAMPACK. Skills: Forward deployed engineering, Customer onboarding, Technical implementation. Own customer onboarding end to end. Embed with operators", "createdAt" : "2026-06-14T20:12:43.628", "lastUpdated" : "2026-06-16T05:47:14.088", "ingestTimestamp" : "2026-06-14T20:12:43.628", "mongoId" : "6a2cb02474d8ee00a09d902d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "EDI integration", "ERP integration", "Inventory system integration", "Accounting integration", "Freight integration", "Forward deployed engineering", "Customer onboarding", "Technical implementation", "Systems thinker", "Customer partnership", "Implementation lifecycle management", "Wholesale operations", "CPG operations", "Supply chain", "Logistics", "EDI", "ERP", "Inventory systems", "Accounting", "Freight coordination", "Purchase order ingestion", "Invoicing", "Payment reconciliation" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 491.68445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c692274d8ee00a09062ac", "title" : "Staff Engineer, API Platform", "company" : "Sarvam", "industry" : "Engineering", "salary" : { "min" : 4500000.0, "max" : 7000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Staff Engineer, API Platform in Bengaluru, India, adjusted for lead seniority and a large technology company." }, "location" : "Bengaluru", "locations" : [ "Bengaluru" ], "timestamp" : "2026-06-16T01:56:55.330", "fingerprint" : "1dfc86be7fcca436370cf6c284761a55bb7c569a963fc68971e14ae26ed72d77", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/sarvam/48b2c236-a7e7-475d-b98b-4eb942e85dc7/application", "externalId" : "48b2c236-a7e7-475d-b98b-4eb942e85dc7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Go, Python, FastAPI, HTTP, WebSockets, PostgreSQL, Redis, Kubernetes", "professionalSkills" : [ "System design", "Architecture design", "Performance optimization", "Reliability engineering", "Distributed systems", "Rate limiting", "Metering", "Billing", "Wallet management", "Observability", "Integration testing", "Production engineering" ], "hardSkillsList" : [ "Audio pipeline engineering", "Vision pipelines", "Streaming infrastructure", "Commercial layer engineering", "Schema design", "Query performance", "Caching strategy" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Audio pipeline engineering", "level" : "intermediate" }, { "name" : "Vision pipelines", "level" : "intermediate" }, { "name" : "Streaming infrastructure", "level" : "intermediate" }, { "name" : "Commercial layer engineering", "level" : "intermediate" }, { "name" : "Schema design", "level" : "intermediate" }, { "name" : "Query performance", "level" : "intermediate" }, { "name" : "Caching strategy", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "API Platform, Go rewrite, Streaming infrastructure, Commercial layer", "majorSkillsList" : [ "API Platform", "Go rewrite", "Streaming infrastructure", "Commercial layer" ], "coreResponsibilities" : "Design platform end-to-end, Lead Python to Go rewrite, Set architecture patterns, Engineer audio pipelines, Engineer vision pipelines, Engineer streaming infrastructure, Engineer commercial layer, Ensure performance and reliability, Implement observability, Build integration testing infrastructure, Mentor Inference team, Mentor MLOps team, Foster design-first culture, Foster documentation-first culture", "teamCollaboration" : "Cross-functional teams; Inference team; MLOps team", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Sovereign AI; Full-stack AI; Model APIs; ASR; TTS; Vision models; LLM; Translate models; Audio processing; OCR; Layout detection; VLM; Structured data extraction; Low-latency model invocation; Multi-tenant platform; Sub-second latency SLOs; Early-stage startup", "domainList" : [ "sovereign-ai", "full-stack-ai", "model-apis", "asr", "tts", "vision-models", "llm", "translate-models", "audio-processing", "ocr", "layout-detection", "vlm", "structured-data-extraction", "low-latency-model-invocation", "multi-tenant-platform", "sub-second-latency-slos", "early-stage-startup" ], "domainSpecificKnowledge" : [ "Sovereign AI", "Full-stack AI", "Model APIs", "ASR", "TTS", "Vision models", "LLM", "Translate models", "Audio processing", "OCR", "Layout detection", "VLM", "Structured data extraction", "Low-latency model invocation", "Multi-tenant platform", "Sub-second latency SLOs", "Early-stage startup" ], "toolProficiency" : [ "FastAPI", "Go", "Python", "PostgreSQL", "Redis", "Kubernetes" ], "communicationSkills" : "RFCs", "documentationSkills" : "Documentation-first culture", "problemSolvingSkills" : "Debugging", "qualificationsBasic" : "7+ years backend systems, Go in production, Comfortable in Python, High-scale systems, Low-latency systems, Multi-tenant systems, Real-time systems, Streaming systems, WebSockets experience, Long-lived connections, Backpressure experience, PostgreSQL fundamentals, Redis fundamentals, Kubernetes in production", "qualificationsPreferred" : "Experience serving LLMs, Experience serving ASR, Experience serving TTS, Experience serving vision models, Audio processing background, Metering infrastructure experience, Billing infrastructure experience, Wallet infrastructure experience, Payments infrastructure experience, Startup experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Sarvam Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC. About the Role Sarvam's model APIs (ASR, TTS, Vision, LLM, Translate) are how developers and enterprises ship products on our foundation models. The platform handles tens of millions of API calls every day, over HTTP and WebSockets, with metering, billing, prepaid wallets, and rate-limiting all part of the same stack. Today it's FastAPI and Python; we're in the middle of rewriting it in Go. We're hiring a Staff Engineer to own this platform end-to-end. The architecture. The reliability. The performance. The standards. This is an IC role. What You’ll Do - The end-to-end design and evolution of the platform, from the moment a request hits the edge to the response that goes back out - The Python→Go rewrite: leading the architecture, setting the patterns, and bringing the platform across without compromising reliability - Audio pipeline engineering: TTS chunking around model context limits, sample-rate adjustments and format encoding, VAD-based silence detection for ASR - Vision pipelines: orchestrating OCR, layout detection, and VLM harnesses for structured data extraction - Streaming infrastructure: WebSocket connections, queue-based batch processing, back pressure, low-latency model invocation - The commercial layer: metering, billing, prepaid wallet management, and rate-limiting, engineered to the same bar as the model APIs themselves - Performance and reliability for a multi-tenant platform operating at sub-second latency SLOs - Observability (logging, metrics, tracing), so the team can debug production confidently and quickly - Integration testing infrastructure: the harness that lets us ship fast without breaking customer-facing APIs - Close partnership with the Inference and MLOps teams, mentoring them on production engineering so model serving is fast, reliable, and operable - Design-first, documentation-first engineering culture within the team: RFCs before code, decisions written down, no tribal knowledge What We’re Looking For - 7+ years building production backend systems at scale - Strong Go in production: you've designed, built, and operated Go services under real load - Comfortable in Python: you'll work in both languages through the rewrite, and FastAPI is the current foundation - A track record of designing and operating high-scale, low-latency, multi-tenant distributed systems - Hands-on experience with real-time / streaming systems: WebSockets, long-lived connections, backpressure - Strong PostgreSQL and Redis fundamentals: schema design, query performance, caching strategy - Comfort running services on Kubernetes in production - The judgment of a senior IC: when to build vs. buy, when to optimize vs. ship, when to abstract vs. inline, and how to bring others up with you Bonus Points - Experience serving LLMs, ASR, TTS, or vision models in production - Background in audio processing (pyav, FFmpeg, codec / sample-rate work, VAD) - Experience building metering, billing, or wallet / payments infrastructure - Time at an early- or growth-stage startup: comfort with ambiguity, speed, and ownership Why Sarvam? Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact. - Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar - High ownership and high impact, from day one - Everything we do is AI-first, from the way we build and ship to the way we think about problems - You can work on problems that could change how an entire country learns, works, and communicates If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.", "summaryDescription" : "Staff Engineer, API Platform at Sarvam. Skills: API Platform, Go rewrite, Streaming infrastructure, Commercial layer. Design platform end-to-end. Lead Python to Go rewrite", "createdAt" : "2026-06-14T20:10:32.699", "lastUpdated" : "2026-06-16T01:56:55.330", "ingestTimestamp" : "2026-06-14T20:10:32.699", "mongoId" : "6a2c692274d8ee00a09062ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Audio pipeline engineering", "Vision pipelines", "Streaming infrastructure", "Commercial layer engineering", "Schema design", "Query performance", "Caching strategy", "Leadership", "Mentoring", "API Platform", "Go rewrite", "Commercial layer", "System design", "Architecture design", "Performance optimization", "Reliability engineering", "Distributed systems", "Rate limiting", "Metering", "Billing", "Wallet management", "Observability", "Integration testing", "Production engineering", "Roadmap planning", "Sovereign AI", "Full-stack AI", "Model APIs", "ASR", "TTS", "Vision models", "LLM", "Translate models", "Audio processing", "OCR", "Layout detection", "VLM", "Structured data extraction", "Low-latency model invocation", "Multi-tenant platform", "Sub-second latency SLOs", "Early-stage startup", "FastAPI", "Go", "Python", "PostgreSQL", "Redis", "Kubernetes" ], "skillCount" : 48, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 490.78693, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7a1a74d8ee00a09446b1", "title" : "Sr. Forward Deployed Engineer", "company" : "Databricks", "industry" : "Technology", "salary" : { "min" : 1.2E7, "max" : 1.8E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Forward Deployed Engineer in Tokyo, Japan, adjusted for company size and industry." }, "location" : "Tokyo, Japan", "locations" : [ "Tokyo", "Japan" ], "certifications" : [ "Databricks Certification" ], "timestamp" : "2026-06-16T01:34:12.490", "fingerprint" : "a05f0981765781c982581099e57bc366d01bedefdca57195f39c48fd10b67f8a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://databricks.com/company/careers/open-positions/job?gh_jid=8568173002", "externalId" : "8568173002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Scala, JavaScript, TypeScript, Apache Spark, AWS, Azure, GCP", "professionalSkills" : [ "System design", "Project delivery", "Technical project delivery" ], "hardSkillsList" : [ "Data engineering", "Data platforms", "Analytics", "Software engineering", "Distributed computing", "MLOps", "AI models" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Data platforms", "level" : "intermediate" }, { "name" : "Analytics", "level" : "intermediate" }, { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "MLOps", "level" : "intermediate" }, { "name" : "AI models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Data Engineering, Cloud Ecosystems, Apache Spark, MLOps", "majorSkillsList" : [ "Data Engineering", "Cloud Ecosystems", "Apache Spark", "MLOps" ], "coreResponsibilities" : "Build productionize solutions, Implement customer projects, Lead architecture decisions, Lead design decisions, Ensure solutions secure, Ensure solutions scalable, Align solutions customer needs, Align solutions Databricks best practices, Work with Databricks technical team, Work with Project Manager, Work with Architect, Work with Customer team, Deliver technical components, Work with Engineering, Work with Databricks Customer Support, Provide product feedback, Provide implementation feedback, Guide rapid resolution, Embed with customer teams, Engage with stakeholders, Understand challenges, Deliver impact, Contribute accelerators, Contribute frameworks, Contribute best practices, Influence Databricks product roadmap, Design data architectures, Design data applications, Deploy data architectures, Deploy data applications, Combine data pipelines, Combine ML/AI models, Combine user-facing interfaces, Manage scope, Manage timelines, Manage measurable outcomes, Translate complex concepts, Build skills technical areas, Explore new technologies, Support deployment Databricks solutions, Support integration Databricks solutions, Complete customer projects", "teamCollaboration" : "Databricks technical team; Project Manager; Architect; Customer team; Engineering; Databricks Customer Support; Customer teams; Stakeholders", "projectManagementSkills" : [ "Scope management", "Timeline management", "Outcome management" ], "domainKnowledge" : "Data engineering; Data platforms; Analytics; Distributed computing; Spark runtime internals; CI/CD; MLOps; ML/AI models; AI APIs; Data architectures; Data applications; Data pipelines; Lakehouse; Delta Lake", "domainList" : [ "data-engineering", "data-platforms", "analytics", "distributed-computing", "spark-runtime-internals", "ci-cd", "mlops", "ml-ai-models", "ai-apis", "data-architectures", "data-applications", "data-pipelines", "lakehouse", "delta-lake" ], "domainSpecificKnowledge" : [ "Data engineering", "Data platforms", "Analytics", "Distributed computing", "Spark runtime internals", "CI/CD", "MLOps", "ML/AI models", "AI APIs", "Data architectures", "Data applications", "Data pipelines", "Lakehouse", "Delta Lake" ], "toolProficiency" : [ "Databricks" ], "communicationSkills" : "White-boarding skills", "documentationSkills" : "Documentation skills", "continuousLearning" : "Build skills technical areas; Eagerness explore new technologies", "innovationCreativity" : "Contribute accelerators; Contribute frameworks; Influence product roadmap", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "Travel 20%, Fluent Japanese, Professional English", "outcomesObjectives" : "Customer successful understanding; Customer successful evaluation; Customer successful adoption; Deliver impact; Manage measurable outcomes", "qualificationsBasic" : "6+ years experience data engineering, 6+ years experience data platforms, 6+ years experience analytics, 6+ years experience software engineering, Comfortable writing code Python, Comfortable writing code Scala, Comfortable writing code JavaScript/TypeScript, Comfortable writing code modern frameworks, Working knowledge AWS, Working knowledge Azure, Working knowledge GCP, Expertise in at least one cloud, Deep experience distributed computing, Knowledge Spark runtime internals, Familiarity CI/CD, Working knowledge MLOps, Working knowledge ML/AI models, Working knowledge AI APIs, Fluent in Japanese, Professional working proficiency English", "qualificationsPreferred" : "Databricks Certification", "workSiteFlexibility" : "Onsite", "rawDescription" : "Req ID: CSQ327R52 Location: Tokyo, Japan As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Fluent in Japanese with a professional working proficiency in English About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U. 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