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Product teams; Engineering teams; Customer Success teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "B2B SaaS; Cloud-native architecture; Multi-tenant SaaS; SaaS metrics; GDPR; SOC 2; PIPEDA; CCPA", "domainList" : [ "b2b-saas", "cloud-native-architecture", "multi-tenant-saas", "saas-metrics", "gdpr", "soc-2", "pipeda", "ccpa" ], "domainSpecificKnowledge" : [ "B2B SaaS", "Cloud-native architecture", "Multi-tenant SaaS", "SaaS metrics", "GDPR", "SOC 2", "PIPEDA", "CCPA" ], "toolProficiency" : [ "Collibra", "Informatica", "Alation", "Immuta", "JIRA" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Growth opportunities", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "10+ years of experience in data engineering, AI/ML, or analytics leadership roles, SQL proficiency, Master's or PhD in", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "MEET BENEVITY Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.", "summaryDescription" : "Director, Data and AI Engineering at Benevity. Skills: Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence. Define and execute data and AI strategy. Lead cross-functional teams", "createdAt" : "2026-06-16T01:59:44.833", "lastUpdated" : "2026-06-16T15:07:30.375", "ingestTimestamp" : "2026-06-16T01:59:44.833", "mongoId" : "6a30794df292fd229c031216", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference", "Leadership", "Data Engineering", "AI/ML Engineering", "Data Strategy", "Business Intelligence", "Data strategy", "Data modeling", "Business intelligence", "Data governance", "ML systems engineering", "Product intelligence", "AI-powered services", "Data-driven decision-making", "Scalable data engineering", "AI/ML systems", "Cloud-based data architectures", "Real-time analytics", "ML/AI-driven solutions", "Client needs", "Data-as-a-product", "Data assets", "AI-powered automation", "Data-driven insights", "Self-service analytics", "Data pipelines", "Enterprise warehousing", "ML training", "Business reporting", "AI-powered features", "Anomaly detection", "Personalization", "Cost optimization", "MLOps", "CI/CD", "Real-time inference", "Recommendations", "Predictive analytics", "NLP", "Generative AI", "Ethical AI", "AI standards", "BI tools", "Dashboards", "Product analytics", "User behavior", "Feature engagement", "Embedded analytics", "SaaS metrics", "Data privacy", "Data security", "Compliance", "Data lineage", "Metadata management", "MDM", "RBAC", "ABAC", "ReBac", "Data sharing", "Data democratization", "Trusted data", "Documented data", "Team leadership", "Budget management", "Product innovations", "Multi-tenant SaaS", "Customer-facing analytics", "Emerging AI trends", "Responsible AI frameworks", "Agile", "B2B SaaS", "Cloud-native architecture", "GDPR", "SOC 2", "PIPEDA", "CCPA", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Collibra", "Informatica", "Alation", "Immuta", "JIRA" ], "skillCount" : 90, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c968d74d8ee00a098fe78", "title" : "Director Distribution Engineering & Systems", "company" : "Monster Energy", "industry" : "Logistics", "salary" : { "min" : 108900.0, "max" : 145200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Florida, United States", "locations" : [ "Florida", "United States" ], "timestamp" : "2026-06-15T06:40:25.960", "fingerprint" : "84e940ea71addcad6c0c4eba2e18964309c221aadf4a99d847881c50d91c8626", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/monsterenergy/jobs/4222748009", "externalId" : "4222748009", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Florida", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Florida, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceLevel" : "Director", "technicalSkills" : "Industrial engineering, Supply chain management, Data modeling, Advanced analytics", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Warehouse productivity analysis", "Data analysis" ], "hardSkills" : [ { "name" : "Warehouse productivity analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Distribution engineering, Systems management, Supply chain", "majorSkillsList" : [ "Distribution engineering", "Systems management", "Supply chain" ], "coreResponsibilities" : "Direct operational strategies, Implement operational strategies, Direct business processes, Implement business processes, Direct systems for distribution, Implement systems for distribution, Design optimized workflows, Develop long-term strategies, Support business decision-making, Maintain productivity standards, Maintain safety standards, Maintain compliance standards, Manage supply chain software, Coordinate distribution network, Optimize distribution operations, Ensure supply chain execution, Design warehouse process workflows, Improve day-to-day operations, Reduce waste, Build dynamic tools, Build complex data models, Handle large datasets, Perform productivity analysis, Identify inefficiencies, Execute improvements, Build dashboards, Build automated reporting tools, Monitor operations, Monitor KPIs, Monitor performance targets, Manage people management, Foster collaboration culture", "teamCollaboration" : "Cross-functional coordination; Collaboration culture", "domainKnowledge" : "End-to-end supply chain; Warehouse management; Transportation management; Industrial Engineering methodologies", "domainList" : [ "end-to-end-supply-chain", "warehouse-management", "transportation-management", "industrial-engineering-methodologies" ], "domainSpecificKnowledge" : [ "End-to-end supply chain", "Warehouse management", "Transportation management", "Industrial Engineering methodologies" ], "toolProficiency" : [ "SAP S/4 HANA", "SAP EWM", "SAP TM", "Power BI", "Advanced Excel" ], "problemSolvingSkills" : "Advanced analytical tools; Data-driven decision-making", "outcomesObjectives" : "Maintain high standards productivity; Maintain high standards safety; Maintain high standards compliance; Ensure seamless coordination; Ensure seamless execution; Improve operations; Reduce waste; Support high-level decisions; Identify inefficiencies; Execute significant improvements; Monitor operations; Monitor KPIs; Monitor performance targets", "qualificationsBasic" : "7+ years Logistics experience, 5+ years leadership experience", "qualificationsPreferred" : "Bachelor's Supply Chain Operations, Bachelor's Warehouse Operations, Bachelor's related field", "rawDescription" : "A Day in the Life: In the position of Director, Distribution Engineering & Systems, you will direct and implement operational strategies, business processes, and systems for overall distribution. Leverage industrial engineering principles and end-to-end supply chain management software to design optimized workflows and develop long-term strategies. Utilize SAP S/4 HANA environments, complex data modeling, and advanced analytical tools to support critical business decision-making and maintain high standards for productivity, safety, and compliance. The Impact You'll Make: Expertly manage end-to-end supply chain management software to ensure seamless coordination across the entire distribution network. Oversee and optimize distribution operations within SAP EWM (Extended Warehouse Management) and SAP TM (Transportation Management) to ensure seamless end-to-end supply chain execution. Design and implement optimized warehouse process workflows using Industrial Engineering methodologies to improve day-to-day operations and reduce waste. Build and maintain dynamic tools and complex data models to handle large datasets, providing the insights necessary to support high-level business decision-making. Perform advanced warehouse productivity analysis to identify inefficiencies and execute significant improvements to systems and products. Utilize Power BI and Advanced Excel to build dashboards and automated reporting tools that monitor operations, Key Performance Indicators (KPIs), and performance targets for all shipping locations. Maintain responsibility and manage all aspects of people management, fostering a culture of collaboration Who You Are: Prefer a Bachelor's Degree in the field of -- Supply Chain Operations, Warehouse Operations, or a related field. Additional Experience Desired: More than 7 years of experience in Logistics and Warehouse Operations Additional Experience Desired: More than 5 years of experience in leadership capacity Computer Skills Desired: Comprehensive experience in end-to-end supply chain management software, SAP EWM, SAP TM, and SAP S/4HANA. Advanced Excel, expert-level proficiency. Proficiency in Power BI and other Warehouse Management Systems (WMS) Monster Energy provides competitive total compensation. The estimated annual salary range for this position is listed below. Actual compensation may vary based on skills, qualifications, experience, and work location. Pay Range $108,900—$145,200 USD For United States applicants: Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. Read our privacy policy here: Privacy Policy", "summaryDescription" : "Director Distribution Engineering & Systems at Monster Energy. Skills: Distribution engineering, Systems management, Supply chain. Direct operational strategies. Implement operational strategies", "postedDate" : "2026-06-13T21:20:51.578", "createdAt" : "2026-06-13T21:20:51.578", "lastUpdated" : "2026-06-15T06:40:25.960", "ingestTimestamp" : "2026-06-13T21:20:51.578", "mongoId" : "6a2c968d74d8ee00a098fe78", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 108900, "salaryAnnualMax" : 145200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Warehouse productivity analysis", "Data analysis", "Distribution engineering", "Systems management", "Supply chain", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "End-to-end supply chain", "Warehouse management", "Transportation management", "Industrial Engineering methodologies", "SAP S/4 HANA", "SAP EWM", "SAP TM", "Power BI", "Advanced Excel" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3074d9f292fd229c009d20", "title" : "Director, Data and AI Engineering", "company" : "Benevity", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director, Data and AI Engineering in Calgary, Canada, adjusted for SaaS industry and company size." }, "location" : "Calgary, Alberta", "locations" : [ "Calgary, Alberta", "Vancouver, British Columbia" ], "timestamp" : "2026-06-16T11:55:49.932", "fingerprint" : "48d6e9e7d6092e824c8f4e626ef408c40aef8877a09c5443b28ff1eaf3b039e9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/benevity/863fc534-814d-4aed-a969-d52dd5e43dc2/application", "externalId" : "863fc534-814d-4aed-a969-d52dd5e43dc2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calgary", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "51.0456064,-114.0575410" } ], "locationText" : "Calgary, Alberta, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "MEET BENEVITY Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.", "summaryDescription" : "Director, Data and AI Engineering at Benevity", "createdAt" : "2026-06-16T00:25:36.052", "lastUpdated" : "2026-06-16T11:55:49.932", "ingestTimestamp" : "2026-06-16T00:25:36.052", "mongoId" : "6a3074d9f292fd229c009d20", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305571f292fd229cf1f9c0", "title" : "Technical Officer (Chemical and Biomolecular Engineering)", "company" : "The University of Sydney", "industry" : "Education", "salary" : { "min" : 107.0, "max" : 107.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Australia", "locations" : [ "Australia" ], "timestamp" : "2026-06-16T12:22:32.535", "fingerprint" : "853442d3a4bb8ae77d6b3dbddb4ec54fd01cf5bdeeb5979d531865f467278326", "source" : "workday", "language" : "en", "applyUrl" : "https://usyd.wd105.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Darlington-Campus/Technical-Officer--Chemical-and-Biomolecular-Engineering-_0152371-2", "externalId" : "0152371", "industryFunction" : { }, "locationPoint" : "-25.2744,133.7751", "structuredLocations" : [ { "country" : "Australia", "continent" : "oc", "workMode" : "remote" } ], "locationText" : "Australia", "employmentType" : "FULL_TIME", "technicalSkills" : "Chemical engineering, Biomolecular engineering", "professionalSkills" : [ "Technical services", "Research support", "Teaching support", "Laboratory equipment maintenance", "Inventory management", "Safety documentation development", "WHS compliance", "Process control", "Industrial chemical engineering", "Electronics", "Additive manufacturing", "Machining", "CAD" ], "hardSkillsList" : [ "Equipment operation", "Procedure preparation", "Safety compliance" ], "softSkillsList" : [ "Problem solving", "Relationship building" ], "hardSkills" : [ { "name" : "Equipment operation", "level" : "intermediate" }, { "name" : "Procedure preparation", "level" : "intermediate" }, { "name" : "Safety compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solving" }, { "name" : "Relationship building" } ], "majorSkills" : "Technical support, Laboratory operations, WHS compliance", "majorSkillsList" : [ "Technical support", "Laboratory operations", "WHS compliance" ], "coreResponsibilities" : "Deliver technical support, Deliver technical services, Tailor services to user requirements, Escalate service gaps, Escalate feedback, Support effective resource utilisation, Meet education requirements, Meet research requirements, Adhere to WHS procedures, Maintain professionalism, Support teaching operations, Deliver training to facility users, Induct facility users, Perform general laboratory procedures, Contribute to team culture, Collaborate with technical support teams, Support central project operations, Set up laboratory equipment, Operate laboratory equipment, Prepare operating procedures, Assist with process implementation, Assist with system implementation, Assist with new ways of working, Improve efficiency, Improve service delivery, Provide hands-on support for research, Provide hands-on support for teaching, Provide hands-on support for demonstrations, Maintain laboratory equipment, Manage inventories, Provide guidance to staff, Provide guidance to students, Provide training for staff, Provide training for students, Contribute to safety documentation, Ensure compliance with WHS standards, Resolve issues impacting research operations", "teamCollaboration" : "Work independently; Work collaboratively within team; Collaborate with other technical teams; Collaborate with University departments", "domainKnowledge" : "Chemical engineering; Biomolecular engineering; Hazardous substances; Compressed gases; Cryogens; Biological substances", "domainList" : [ "chemical-engineering", "biomolecular-engineering", "hazardous-substances", "compressed-gases", "cryogens", "biological-substances" ], "domainSpecificKnowledge" : [ "Chemical engineering", "Biomolecular engineering", "Hazardous substances", "Compressed gases", "Cryogens", "Biological substances" ], "communicationSkills" : "Customer-facing communications", "documentationSkills" : "Safety documentation", "innovationCreativity" : "Enable innovative teaching; Enable innovative research", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Full strength and range of movement, Flexible joints, Lift, carry, push, pull, Manipulate items, Tolerate repetitive physical tasks", "outcomesObjectives" : "Strengthen education support outcomes; Enhance research support outcomes; Improve efficiency; Improve service delivery", "qualificationsBasic" : "Bachelor's degree in chemical engineering or related field, Relevant training and experience, Experience providing technical support, Experience providing training, Experience providing routine maintenance on chemical engineering equipment, Experience providing routine maintenance on laboratory equipment, Experience engaging with external parties, Experience coordinating repair of equipment, Experience coordinating procurement of equipment, Experience in safe handling of biological substances, Experience in safe handling of hazardous substances, Experience in safe storage of biological substances, Experience in safe storage of hazardous substances, Experience in safe disposal of biological substances, Experience in safe disposal of hazardous substances, Experience adhering to WHS compliance, Experience improving WHS compliance, Full strength and range of movement in both arms, Flexible joints to lift, carry, push, pull, Ability to manipulate items, Tolerate repetitive physical tasks, Unrestricted work rights in Australia", "qualificationsPreferred" : "Experience or qualification in process control, Experience or qualification in industrial chemical engineering, Experience or qualification in WHS compliance, Experience or qualification in electronics, Experience or qualification in additive manufacturing, Experience or qualification in machining, Experience or qualification in CAD", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "* **Full time, fixed term position until 30th October 2026. Located at the Electrical Engineering Building (J03) on the Darlington Campus** * **Deliver hands-on support for research operations, teaching activities, and outreach demonstrations** * **Base Salary HEO6 $107,12 - $115,686 + 17% superannuation** **About the opportunity** The University of Sydney is welcoming applications for motivated and experienced **Technical Officer (****Chemical and Biomolecular Engineering)** to join the Central Operations Services (COS) Engineering Delivery Team and provide high-quality technical services within the designated area of responsibility to strengthen and enhance education and research support outcomes. The **Technical Officer** (**Chemical and Biomolecular Engineering)** will work independently and collaboratively within the team to contribute high quality technical services that support teaching and research activities within the designated areas of responsibility. This role involves delivering hands on assistance for practical classes, demonstrations, and research operations, maintaining and operating laboratory equipment and managing inventories. The **Technical Officer** will also provide guidance and training for staff and students, contribute to the development of safety documentation, and ensure compliance with Work Health and Safety standards in alignment with University policies and legislation. The position requires strong problem solving and communication skills to manage the delivery of technical support and resolve issues impacting the research operations of academic staff and students. You will be responsible for setting up and operating complex or bespoke laboratory equipment, preparing operating procedures, and assisting with the implementation of new processes, systems, and ways of working to improve efficiency and service delivery. Collaboration with other technical teams and University departments will be essential to support resource sharing and consistent practices. This is an opportunity to play a key role in enabling innovative teaching and research in a safe and well managed environment. Your key responsibilities will be to: * deliver technical support and services in accordance with the role and tailor services to user/client requirements within remit and escalate service gaps/feedback as appropriate * support the effective utilisation of resources within the designated area of responsibility, ensuring that the work area’s education/research requirements are effectively met * lead by example by demonstrating a strong adherence to established WHS and compliance procedures, and maintain professionalism in all customer-facing activities and communications * support teaching operations and deliver training to facility users in the safe operation of equipment, building inductions, and general laboratory procedures * contribute to a positive, professional and customer focused team culture * collaborate with other technical support teams across the university and support the operations of projects managed centrally as required. **About you** * bachelor's degree in chemical engineering or in a related field or relevant training and experience * experience in providing technical support, training, and routine maintenance on common chemical engineering or laboratory equipment in a research or teaching laboratory environment * experience engaging with external parties or contractors to coordinate repair or procurement of equipment to maintain research continuity * experience in the safe handling/storage/disposal of biological and hazardous substances (e.g., chemicals, waste, compressed gases and cryogens) and relevant experience in adhering to and improving WHS compliance in modern laboratory environments * strong communication and relationship building skills, with an ability to establish and maintain working relationships with customers * full strength and range of movement in both arms and flexible joints to lift, carry, push, pull a variety of loads; ability to manipulate items and tolerate repetitive physical tasks * possess experience or qualification in process control, industrial chemical engineering and WHS compliance or other relevant practical engineering skills (electronics, additive manufacturing, machining, CAD) (desirable). **Sponsorship / work rights for** **Australia** You must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment. **Pre-employment checks** Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University’s obligations under the National Higher Education Code to [Prevent and Eliminate Gender-Based Violence](https://www.sydney.edu.au/about-us/vision-and-values/safety-and-respect/sexual-harm-and-gender-based-violence.html) you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. **EEO statement** At the University of Sydney, our shared values are [trust, accountability and excellence](https://www.sydney.edu.au/about-us/vision-and-values.html) and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to [diversity and inclusion](https://www.sydney.edu.au/about-us/vision-and-values/diversity.html), evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of [Aboriginal and Torres Strait Islander People](https://www.sydney.edu.au/about-us/careers-at-sydney/indigenous-careers.html), [women](https://www.sydney.edu.au/about-us/vision-and-values/diversity/gender-equity.html), [people living with a disability](https://www.sydney.edu.au/about-us/careers-at-sydney/careers-for-people-with-disability.html), [people from culturally and linguistically diverse backgrounds](https://www.sydney.edu.au/about-us/vision-and-values/diversity/cultural-diversity.html), and those who identify as [LGBTQIA+](https://www.sydney.edu.au/about-us/vision-and-values/diversity/lgbtiq-community.html). We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. [Find out more about our work on diversity and inclusion](http://sydney.edu.au/about-us/vision-and-values/diversity.html). **How to apply** Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the **Apply** button at the top of the page. For employees of the University or contingent workers, please login into your [**Workday**](https://sydney.edu.au/workday) account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Kevin Lim, Recruitment Operations by email to [kevin.lim@sydney.edu.au](mailto:kevin.lim@sydney.edu.au). **©** The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the [Position Description](https://unisyd.sharepoint.com/:b:/s/WorkdayIntegration/IQAMFtUXkONXRrlfePHNQ8AqAR5Z9jDUv3SdCaqyf7uyYQs?download=1) for this role. **Applications Close** Monday 29 June 2026 11:59 PM", "summaryDescription" : "Technical Officer (Chemical and Biomolecular Engineering) at The University of Sydney. Skills: Technical support, Laboratory operations, WHS compliance. Deliver technical support. Deliver technical services", "postedDate" : "2026-06-16T03:44:04.607", "createdAt" : "2026-06-16T03:44:04.600", "lastUpdated" : "2026-06-16T12:22:32.535", "ingestTimestamp" : "2026-06-16T03:44:04.600", "mongoId" : "6a305571f292fd229cf1f9c0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://usyd.wd105.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Darlington-Campus/Technical-Officer--Chemical-and-Biomolecular-Engineering-_0152371-2", "salaryAnnualMin" : 222560, "salaryAnnualMax" : 222560, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Equipment operation", "Procedure preparation", "Safety compliance", "Problem solving", "Relationship building", "Technical support", "Laboratory operations", "WHS compliance", "Technical services", "Research support", "Teaching support", "Laboratory equipment maintenance", "Inventory management", "Safety documentation development", "Process control", "Industrial chemical engineering", "Electronics", "Additive manufacturing", "Machining", "CAD", "Chemical engineering", "Biomolecular engineering", "Hazardous substances", "Compressed gases", "Cryogens", "Biological substances" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3051aff292fd229cf0479f", "title" : "Director of Engineering", "company" : "Partnerize", "industry" : "Technology", "salary" : { "min" : 600000.0, "max" : 900000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Engineering in Tel Aviv, Israel, adjusted for the technology industry and company size." }, "location" : "Tel Aviv District, Israel", "locations" : [ "Tel Aviv District", "Israel" ], "timestamp" : "2026-06-16T09:13:54.178", "fingerprint" : "b3622eb4b38bff1d54ffd17820c6252aed360bd1e90df4ff26bffe2fb25a68e7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://partnerize.com/company/jobs/?gh_jid=7773687003", "externalId" : "7773687003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tel Aviv", "state" : "Tel Aviv District", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" } ], "locationText" : "Tel Aviv, Tel Aviv District, Israel", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "AI, ML, Data Engineering, DevOps, Cloud, Security", "professionalSkills" : [ "People leadership", "Technical leadership", "Operational excellence", "Software delivery" ], "softSkillsList" : [ "Leadership", "Mentoring", "Coaching", "Feedback", "Career development", "Performance management" ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Coaching" }, { "name" : "Feedback" }, { "name" : "Career development" }, { "name" : "Performance management" } ], "majorSkills" : "Engineering leadership, Team scaling, Technical decision making", "majorSkillsList" : [ "Engineering leadership", "Team scaling", "Technical decision making" ], "coreResponsibilities" : "Lead engineering organization, Scale engineering organization, Develop engineers, Improve execution, Support technical decision making, Expand the team, Navigate growth phase, Lead, mentor, and develop team, Create high-performance environment, Support hiring efforts, Support interviewing, Support onboarding, Support team expansion", "teamCollaboration" : "Alignment with Product; Alignment with business priorities", "domainKnowledge" : "Partnership automation; Affiliate marketing; Influencer collaborations; Digital marketing; AI-generated search; Zero-click web; Large-scale data processing; AI-driven insights; Attribution intelligence; Modern analytics; Marketing intelligence; Large-scale distributed systems", "domainList" : [ "partnership-automation", "affiliate-marketing", "influencer-collaborations", "digital-marketing", "ai-generated-search", "zero-click-web", "large-scale-data-processing", "ai-driven-insights", "attribution-intelligence", "modern-analytics", "marketing-intelligence", "large-scale-distributed-systems" ], "domainSpecificKnowledge" : [ "Partnership automation", "Affiliate marketing", "Influencer collaborations", "Digital marketing", "AI-generated search", "Zero-click web", "Large-scale data processing", "AI-driven insights", "Attribution intelligence", "Modern analytics", "Marketing intelligence", "Large-scale distributed systems" ], "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "5+ years engineering leadership, Experience scaling engineering teams, People leadership experience, Technical credibility, Operational excellence, Pragmatic approach to software delivery", "qualificationsPreferred" : "Experience in AI/ML, Experience in Data Engineering, Experience in DevOps, Experience in Cloud, Experience in Security", "workSiteFlexibility" : "Flexible", "rawDescription" : "Who We Are At Partnerize, we're on a mission to transform the way businesses grow. We've built the leading partnership automation platform that empowers brands to discover, engage, and convert their audiences at scale. From affiliate marketing to influencer collaborations, we help our clients build and manage profitable partnerships that drive real results. We're a team of passionate problem-solvers who are dedicated to helping our clients win in the ever-evolving world of digital marketing. Why Join Us We're looking for passionate, talented people who want to be part of a winning team. At Partnerize, you'll find a culture of collaboration, innovation, and respect. We're guided by our core values, and we're committed to creating an environment where everyone can do their best work. We also offer a competitive salary, generous benefits, and a flexible work environment that allows you to thrive both personally and professionally. If you're ready to grow your career and make a difference, we'd love to hear from you. About Konnecto Konnecto is building advanced intelligence products that help global brands understand influence across affiliate ecosystems, AI-generated search experiences, and the evolving zero-click web. Operating as an independent product and technology group within Partnerize, Konnecto combines large-scale data processing, AI-driven insights, attribution intelligence, and modern analytics to help brands navigate a rapidly changing digital landscape. Our products sit at the intersection of AI, data, marketing intelligence, and large-scale distributed systems, creating unique technical challenges and opportunities for innovation. The Opportunity We are looking for a Director of Engineering to lead and scale Konnecto's engineering organization in Israel. This role is responsible for the success, growth, and effectiveness of the engineering team while ensuring strong alignment with Product and business priorities. The team already consists of experienced engineers, established products, and a mature technology stack. The focus of this role is not to build an engineering organization from scratch, but to help it scale effectively as the company continues to grow. You will be responsible for developing engineers, improving execution, supporting technical decision making, expanding the team, and helping the organization successfully navigate the next phase of growth. The ideal candidate combines strong people leadership, technical credibility, operational excellence, and a pragmatic approach to software delivery. What You'll Own Engineering Leadership Lead, mentor, and develop the engineering team through regular coaching, feedback, career development, and performance management. Create an environment where engineers can perform at a high level, grow professionally, and take ownership of their work. Support hiring efforts, interviewing, onboarding, and team expansion initiatives. Help scale the Israeli R where they are treated fairly and respectfully, have equal access to opportunities and resources and can contribute fully to the organization’s success. Every individual in our business is expected to live this commitment without exception. Privacy and data protection. The data collected as part of this application will be used for the recruitment process and any subsequent employment. You can find further information in Partnerize privacy policy here: https://partnerize.com/privacy-policy/ Notice to Recruiters and Staffing Agencies: To protect the interests of all parties, Partnerize will not accept unsolicited resumes from any source other than directly from a candidate or an approved vendor that has a written and signed agreement in place with Partnerize. Please do not contact or forward resumes to our company employees or locations. Any unsolicited resumes will be considered Partnerize property. Partnerize is not responsible for any charges or fees related to unsolicited resumes.", "summaryDescription" : "Director of Engineering at Partnerize. Skills: Engineering leadership, Team scaling, Technical decision making. Lead engineering organization. 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Enable team members, Manage team performance, Develop team careers, Connect technical recommendations, Monitor regional customer patterns, Monitor adoption blockers, Monitor competitive insights, Monitor product feedback, Share feedback with internal teams, Promote use of playbooks, Promote use of demo assets, Promote use of POC approaches, Promote use of adoption frameworks, Promote use of technical best practices, Represent regional technical perspective, Collaborate with GTM leadership, Identify potential services opportunities, Understand customer requirements, Draft SOWs, Oversee Professional Services delivery, Ensure on-time delivery, Ensure on-budget delivery, Act as senior delivery point of contact, Manage escalations, Manage milestone reviews, Manage customer satisfaction, Define delivery standards, Maintain delivery standards, Define project governance frameworks, Maintain project governance frameworks", "teamCollaboration" : "Partnering with GTM leadership; Partnering with sales leadership; Working across pre-sales; Working across delivery; Working across post-sales; Collaborate with GTM leadership; Work with regional sales", "projectManagementSkills" : [ "Project governance" ], "domainKnowledge" : "Enterprise software; Automation; AI; SaaS; Cloud platforms; Architecture; Integrations; Security; Deployment considerations; Professional Services; Go-to-market strategy", "domainList" : [ "enterprise-software", "automation", "ai", "saas", "cloud-platforms", "architecture", "integrations", "security", "deployment-considerations", "professional-services", "go-to-market-strategy" ], "domainSpecificKnowledge" : [ "Enterprise software", "Automation", "AI", "SaaS", "Cloud platforms", "Architecture", "Integrations", "Security", "Deployment considerations", "Professional Services", "Go-to-market strategy" ], "toolProficiency" : [ "UiPath" ], "communicationSkills" : "Executive communication; Customer discovery; Competitive positioning; Advisory conversations; Technical storytelling; Executive presence", "outcomesObjectives" : "Improve technical win rates; Improve adoption outcomes; Improve expansion potential; Improve long-term customer value", "qualificationsBasic" : "Experience leading customer-facing technical teams, Understanding of enterprise software, Understanding of automation, Understanding of AI, Understanding of SaaS/cloud platforms, Understanding of architecture, Understanding of integrations, Understanding of security, Understanding of deployment considerations, Experience across pre-sales customer motions, Experience across post-sales customer motions, Proven ability to build technical field function, Commercial awareness, Credibility with senior technical stakeholders, Credibility with senior business stakeholders, Ability to coach teams on demos, Ability to coach teams on POCs, Ability to coach teams on competitive positioning, Ability to coach teams on technical storytelling, Ability to coach teams on solution design, Ability to coach teams on customer advisory conversations, Judgment in complex customer situations, Judgment in ambiguous customer situations, Excellent communication skills, Excellent executive presence, Excellent stakeholder management skills, Fluency in Mandarin, Fluency in English, Experience overseeing Professional Services engagements, Experience delivering Professional Services engagements", "qualificationsPreferred" : "Experience with Kubernetes a plus, Experience with container orchestration platforms a plus", "workSiteFlexibility" : "Flexible", "rawDescription" : "LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION We are looking for an experienced Director of Customer Engineering to lead our customer-facing technical team in Greater China, covering Mainland China, Taiwan, and Hong Kong. You will guide a team of consultants who operate across the full customer lifecycle - from first technical conversation to successful platform adoption. The team brings together strong technical advisory, solution engineering, platform guidance, and adoption expertise to help customers evaluate, implement, and expand their use of UiPath. You will be responsible for the performance, prioritization, coaching, and execution quality of the team. Beyond leading the core Customer Engineering function, you will play an active role in shaping regional services go-to-market strategy — partnering with GTM and sales leadership on field plays, solution positioning, and pipeline acceleration. You will also carry accountability for the delivery quality of Professional Services engagements in the region, ensuring customers move from contract to value with speed and confidence. Working across pre-sales, delivery, and post-sales motions, you will help the region improve technical win rates, adoption outcomes, expansion potential, and long-term customer value realization. WHAT YOU'LL DO AT UIPATH • Lead, coach, and develop your team across Mainland China, Taiwan, and Hong Kong • Guide the team's execution across demos, technical discovery, POCs, competitive positioning, solution design advisory, platform setup recommendations, and post-sales technical guidance • Partner with GTM leadership to prioritize customer engagements, technical pursuits, and adoption opportunities • Ensure the team is focused on the highest-impact accounts, opportunities, and customer outcomes • Review and improve the quality of technical account strategies, POCs, adoption plans, and customer advisory engagements • Coach team members on technical storytelling, executive communication, customer discovery, competitive positioning, and advisory conversations. • Support complex or strategic customer engagements where senior technical leadership is required • Build team capability through hiring, onboarding, enablement, performance management, and career development • Help the team connect technical recommendations with customer business outcomes, adoption milestones, and long-term platform maturity • Monitor regional customer patterns, adoption blockers, competitive insights, and product feedback, and share them with relevant internal teams • Promote consistent use of reusable playbooks, demo assets, POC approaches, adoption frameworks, and technical best practices • Represent the regional technical perspective in account planning, business reviews, and leadership discussions • Collaborate with GTM leadership on regional go-to-market strategy, work with regional sales for identifying potential services opportunities, understand customer requirements and help draft solutions; draft SOWs • Oversee scoped Professional Services delivery engagements for strategic accounts in the region, ensuring on-time, on-budget outcomes; act as the senior delivery point of contact for escalations, milestone reviews, and customer satisfaction during implementation phases • Define and maintain delivery standards, project governance frameworks, to ensure consistency and quality across Professional Services engagements in the region. WHAT YOU'LL BRING TO THE TEAM • Experience leading customer-facing technical teams such as Sales Engineering, Solution Consulting, Technical Account Management, Customer Engineering, or Technical Consulting • Strong understanding of enterprise software, automation, AI, SaaS/cloud platforms, architecture, integrations, security, and deployment considerations • Experience across both pre-sales and post-sales customer motions • Proven ability to build or evolve a technical field function, including role definition, engagement models, KPIs, and enablement • Commercial awareness, with the ability to support pipeline progression, technical win strategies, adoption, expansion, and retention • Credibility with senior technical and business stakeholders, including executives, architects, automation leaders, and transformation owners • Ability to coach teams on demos, POCs, competitive positioning, technical storytelling, solution design, and customer advisory conversations • Strong judgment in complex or ambiguous customer situations • Excellent communication, executive presence, and stakeholder management skills • Fluency in Mandarin and English, written and spoken • Familiarity with GTM motions, solution plays, partner and pipeline generation strategies; ability to translate technical positioning into compelling go-to-market narratives for services • Experience overseeing or directly delivering Professional Services engagements, including project governance, resource coordination, milestone tracking, and customer stakeholder management through implementation and go-live. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.", "summaryDescription" : "Customer Engineering Director at UiPath. Skills: Customer Engineering, Professional Services, Go-to-market strategy. Lead customer-facing technical team. Guide team's execution", "createdAt" : "2026-06-16T00:27:58.404", "lastUpdated" : "2026-06-16T12:15:24.109", "ingestTimestamp" : "2026-06-16T00:27:58.404", "mongoId" : "6a306e31f292fd229cfdd346", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Technical advisory", "Solution engineering", "Platform guidance", "Adoption expertise", "Technical storytelling", "Executive communication", "Customer discovery", "Competitive positioning", "Advisory conversations", "Technical recommendations", "Customer business outcomes", "Platform maturity", "Customer patterns", "Adoption blockers", "Competitive insights", "Product feedback", "Reusable playbooks", "Demo assets", "POC approaches", "Adoption frameworks", "Technical best practices", "Account planning", "Business reviews", "Technical positioning", "Go-to-market narratives", "Resource coordination", "Milestone tracking", "Stakeholder management", "Implementation", 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"timestamp" : "2026-06-16T14:00:53.684", "fingerprint" : "6cad9e585d3fe6012ef2dec68846105d3ee58e9ab478e84816499a8892eeef2c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/uipath/7557cd94-4b59-4624-aa2d-7bdeaacb9474/application", "externalId" : "7557cd94-4b59-4624-aa2d-7bdeaacb9474", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seoul", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.5666791,126.9782914" } ], "locationText" : "Seoul, South Korea", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Automation, AI, SaaS, Cloud platforms", "professionalSkills" : [ "Solution design", "Customer advisory", "Go-to-market strategy", "Pipeline acceleration", "Delivery quality", "Technical win rates", "Adoption outcomes", "Expansion potential", "Customer value realization", "Technical pursuits", "Adoption plans", "Account strategies", "Technical storytelling", "Executive communication", "Customer discovery", "Advisory conversations", "Account planning", "Business reviews", "Stakeholder management", "Pipeline generation", "Go-to-market narratives", "Project governance", "Resource coordination", "Milestone tracking" ], "hardSkillsList" : [ "Platform setup", "Technical recommendations", "Product feedback", "Playbooks", "Demo assets", "POC approaches", "Adoption frameworks", "Technical best practices", "SOW drafting", "On-time delivery", "On-budget delivery", "Milestone reviews", "Customer satisfaction", "Delivery standards", "Project governance frameworks" ], "softSkillsList" : [ "Leadership", "Judgment" ], "hardSkills" : [ { "name" : "Platform setup", "level" : "intermediate" }, { "name" : "Technical recommendations", "level" : "intermediate" }, { "name" : "Product feedback", "level" : "intermediate" }, { "name" : "Playbooks", "level" : "intermediate" }, { "name" : "Demo assets", "level" : "intermediate" }, { "name" : "POC approaches", "level" : "intermediate" }, { "name" : "Adoption frameworks", "level" : "intermediate" }, { "name" : "Technical best practices", "level" : "intermediate" }, { "name" : "SOW drafting", "level" : "intermediate" }, { "name" : "On-time delivery", "level" : "intermediate" }, { "name" : "On-budget delivery", "level" : "intermediate" }, { "name" : "Milestone reviews", "level" : "intermediate" }, { "name" : "Customer satisfaction", "level" : "intermediate" }, { "name" : "Delivery standards", "level" : "intermediate" }, { "name" : "Project governance frameworks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Judgment" } ], "majorSkills" : "Customer Engineering, Solution Engineering, Platform Guidance, Adoption Expertise", "majorSkillsList" : [ "Customer Engineering", "Solution Engineering", "Platform Guidance", "Adoption Expertise" ], "coreResponsibilities" : "Lead team, Coach team, Develop team, Guide team execution, Partner with GTM leadership, Prioritize customer engagements, Prioritize technical pursuits, Prioritize adoption opportunities, Ensure team focus on high-impact accounts, Ensure team focus on high-impact opportunities, Ensure team focus on high-impact customer outcomes, Review quality of technical account strategies, Review quality of POCs, Review quality of adoption plans, Review quality of customer advisory engagements, Coach team members on technical storytelling, Coach team members on executive communication, Coach team members on customer discovery, Coach team members on competitive positioning, Coach team members on advisory conversations, Support complex customer engagements, Support strategic customer engagements, Build team capability through hiring, Build team capability through onboarding, Build team capability through enablement, Build team capability through performance management, Build team capability through career development, Help team connect technical recommendations with customer business, Help team connect technical recommendations with adoption milestones, Help team connect technical recommendations with long-term platform, Monitor regional customer patterns, Monitor adoption blockers, Monitor competitive insights, Monitor product feedback, Share insights with internal teams, Promote consistent use of reusable playbooks, Promote consistent use of reusable demo assets, Promote consistent use of reusable POC approaches, Promote consistent use of reusable adoption frameworks, Promote consistent use of reusable technical best practices, Represent regional technical perspective in account planning, Represent regional technical perspective in business reviews, Represent regional technical perspective in leadership discussions, Collaborate with GTM leadership on regional go-to-market strategy, Work with regional sales for identifying potential services, Understand customer requirements, Help draft SOWs, Oversee scoped Professional Services delivery engagements, Ensure on-time delivery of engagements, Ensure on-budget delivery of engagements, Act as senior delivery point of contact for, Act as senior delivery point of contact for, Act as senior delivery point of contact for, Define delivery standards, Maintain delivery standards, Define project governance frameworks, Maintain project governance frameworks", "teamCollaboration" : "Partner with GTM leadership; Work with regional sales; Collaborate with GTM leadership; Cross-functional teams", "projectManagementSkills" : [ "Project governance", "Resource coordination", "Milestone tracking" ], "domainKnowledge" : "Enterprise software; Automation; AI; SaaS; Cloud platforms; Architecture; Integrations; Security; Deployment considerations", "domainList" : [ "enterprise-software", "automation", "ai", "saas", "cloud-platforms", "architecture", "integrations", "security", "deployment-considerations" ], "domainSpecificKnowledge" : [ "Enterprise software", "Automation", "AI", "SaaS", "Cloud platforms", "Architecture", "Integrations", "Security", "Deployment considerations" ], "toolProficiency" : [ "UiPath" ], "communicationSkills" : "Executive communication; Technical storytelling; Customer advisory conversations; Stakeholder management", "outcomesObjectives" : "Improve technical win rates; Improve adoption outcomes; Improve expansion potential; Improve long-term customer value realization; Ensure on-time delivery; Ensure on-budget delivery; Ensure customer satisfaction", "qualificationsBasic" : "Experience leading customer-facing technical teams, Understanding of enterprise software, Understanding of automation, Understanding of AI, Understanding of SaaS/cloud platforms, Understanding of architecture, Understanding of integrations, Understanding of security, Understanding of deployment considerations, Experience across pre-sales motions, Experience across post-sales motions, Ability to build or evolve technical field function, Commercial awareness, Credibility with senior technical stakeholders, Credibility with senior business stakeholders, Ability to coach teams on demos, Ability to coach teams on POCs, Ability to coach teams on competitive positioning, Ability to coach teams on technical storytelling, Ability to coach teams on solution design, Ability to coach teams on customer advisory conversations, Judgment in complex customer situations, Judgment in ambiguous customer situations, Fluency in Korean, Fluency in English, Experience overseeing Professional Services engagements, Experience delivering Professional Services engagements", "qualificationsPreferred" : "Experience with Kubernetes, Experience with container orchestration platforms", "workSiteFlexibility" : "Flexible", "rawDescription" : "LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION We are looking for an experienced Director of Customer Engineering to lead our customer-facing technical team in Korea. You will guide a team of consultants who operate across the full customer lifecycle - from first technical conversation to successful platform adoption. The team brings together strong technical advisory, solution engineering, platform guidance, and adoption expertise to help customers evaluate, implement, and expand their use of UiPath. You will be responsible for the performance, prioritization, coaching, and execution quality of the team. Beyond leading the core Customer Engineering function, you will play an active role in shaping regional services go-to-market strategy — partnering with GTM and sales leadership on field plays, solution positioning, and pipeline acceleration. You will also carry accountability for the delivery quality of Professional Services engagements in the region, ensuring customers move from contract to value with speed and confidence. Working across pre-sales, delivery, and post-sales motions, you will help the region improve technical win rates, adoption outcomes, expansion potential, and long-term customer value realization. WHAT YOU'LL DO AT UIPATH • Lead, coach, and develop your team • Guide the team's execution across demos, technical discovery, POCs, competitive positioning, solution design advisory, platform setup recommendations, and post-sales technical guidance • Partner with GTM leadership to prioritize customer engagements, technical pursuits, and adoption opportunities • Ensure the team is focused on the highest-impact accounts, opportunities, and customer outcomes • Review and improve the quality of technical account strategies, POCs, adoption plans, and customer advisory engagements • Coach team members on technical storytelling, executive communication, customer discovery, competitive positioning, and advisory conversations. • Support complex or strategic customer engagements where senior technical leadership is required • Build team capability through hiring, onboarding, enablement, performance management, and career development • Help the team connect technical recommendations with customer business outcomes, adoption milestones, and long-term platform maturity • Monitor regional customer patterns, adoption blockers, competitive insights, and product feedback, and share them with relevant internal teams • Promote consistent use of reusable playbooks, demo assets, POC approaches, adoption frameworks, and technical best practices • Represent the regional technical perspective in account planning, business reviews, and leadership discussions • Collaborate with GTM leadership on regional go-to-market strategy, work with regional sales for identifying potential services opportunities, understand customer requirements and help draft solutions; draft SOWs • Oversee scoped Professional Services delivery engagements for strategic accounts in the region, ensuring on-time, on-budget outcomes; act as the senior delivery point of contact for escalations, milestone reviews, and customer satisfaction during implementation phases • Define and maintain delivery standards, project governance frameworks, to ensure consistency and quality across Professional Services engagements in the region. WHAT YOU'LL BRING TO THE TEAM • Experience leading customer-facing technical teams such as Sales Engineering, Solution Consulting, Technical Account Management, Customer Engineering, or Technical Consulting • Strong understanding of enterprise software, automation, AI, SaaS/cloud platforms, architecture, integrations, security, and deployment considerations • Experience across both pre-sales and post-sales customer motions • Proven ability to build or evolve a technical field function, including role definition, engagement models, KPIs, and enablement • Commercial awareness, with the ability to support pipeline progression, technical win strategies, adoption, expansion, and retention • Credibility with senior technical and business stakeholders, including executives, architects, automation leaders, and transformation owners • Ability to coach teams on demos, POCs, competitive positioning, technical storytelling, solution design, and customer advisory conversations • Strong judgment in complex or ambiguous customer situations • Excellent communication, executive presence, and stakeholder management skills • Fluency in Korean and English, written and spoken • Familiarity with GTM motions, solution plays, partner and pipeline generation strategies; ability to translate technical positioning into compelling go-to-market narratives for services • Experience overseeing or directly delivering Professional Services engagements, including project governance, resource coordination, milestone tracking, and customer stakeholder management through implementation and go-live. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.", "summaryDescription" : "Customer Engineering Director at UiPath. Skills: Customer Engineering, Solution Engineering, Platform Guidance, Adoption Expertise. Lead team. Coach team", "createdAt" : "2026-06-16T00:26:59.357", "lastUpdated" : "2026-06-16T14:00:53.684", "ingestTimestamp" : "2026-06-16T00:26:59.357", "mongoId" : "6a306e31f292fd229cfdd347", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Platform setup", "Technical recommendations", "Product feedback", "Playbooks", "Demo assets", "POC approaches", "Adoption frameworks", "Technical best practices", "SOW drafting", "On-time delivery", "On-budget delivery", "Milestone reviews", "Customer satisfaction", "Delivery standards", "Project governance frameworks", "Leadership", "Judgment", "Customer Engineering", "Solution Engineering", "Platform Guidance", "Adoption Expertise", "Solution design", "Customer advisory", "Go-to-market strategy", "Pipeline acceleration", "Delivery quality", "Technical win rates", "Adoption outcomes", "Expansion potential", "Customer value realization", "Technical pursuits", "Adoption plans", "Account strategies", "Technical storytelling", "Executive communication", "Customer discovery", "Advisory conversations", "Account planning", "Business reviews", "Stakeholder management", "Pipeline generation", "Go-to-market narratives", "Project governance", "Resource coordination", "Milestone tracking", "Enterprise software", "Automation", "AI", "SaaS", "Cloud platforms", "Architecture", "Integrations", "Security", "Deployment considerations", "UiPath" ], "skillCount" : 55, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30564bf292fd229cf26f23", "title" : "Manager, Test and Technical Engineering", "company" : "Amazon Data Services, Inc.", "industry" : "Project/Program/Product Management--Non-Tech, Tech Ops Engineering, Cloud Computing", "salary" : { "min" : 153200.0, "max" : 254500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-16T07:22:57.615", "fingerprint" : "4a71963612b7261de39f30c95e11df808e7e905433db40caa507fab8041a4593", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448533/apply", "externalId" : "75d606e0-91b6-4e21-8556-6defb00da0ad", "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", "technicalSkills" : "Python, Java, C++, Cloud computing, Distributed systems, Machine learning, Data processing", "professionalSkills" : [ "System design", "Project management", "Team leadership" ], "hardSkillsList" : [ "Software development", "People management", "Cloud platforms", "Distributed systems" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "People management", "level" : "intermediate" }, { "name" : "Cloud platforms", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" } ], "majorSkills" : "Software development, People management, Cloud computing", "majorSkillsList" : [ "Software development", "People management", "Cloud computing" ], "coreResponsibilities" : "Manage a team of software engineers, Design and develop scalable software solutions, Oversee the entire software development lifecycle, Collaborate with product management, Drive technical strategy, Mentor and develop team members, Ensure code quality and best practices, Troubleshoot and resolve complex technical issues", "teamCollaboration" : "Cross-functional teams; Product management", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Distributed systems; Cloud platforms; Machine learning; Large-scale data processing", "domainList" : [ "distributed-systems", "cloud-platforms", "machine-learning", "large-scale-data-processing" ], "domainSpecificKnowledge" : [ "Distributed systems", "Cloud platforms", "Machine learning", "Large-scale data processing" ], "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 5 years of experience in software development, 2 years of experience in people management, Experience with cloud platforms, Experience with distributed systems", "qualificationsPreferred" : "Master's degree or PhD, Experience with machine learning, Experience with large-scale data processing", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Manufacturing & Repair operations is focused on automated assembly solutions where innovative solutions are needed to accelerate overall manufacturing time for AI/ML platforms. We work backwards from customers to increase critical capacity for AWS services by improving yield and reliability while reducing cycle time. This new highly cross-functional initiative brings together critical expertise from a wide-range of Amazon teams dedicated to meeting and exceeding customer expectations through innovative validation processes and Amazon operational excellence. We are seeking a Manager, Test and Technical Engineering to lead a global team of critical to quality engineering teams across Manufacturing Test Engineers, System Engineers, Automation and Process Engineers. This leader will work in conjunction with internal partner Hardware Engineering and NPI Test teams to translate testing methodology and scripts into our operational manufacturing environment. This is a rare opportunity to shape manufacturing test strategy from the ground up, directly impacting the speed and quality at which AI infrastructure reaches customers. We're looking for an engineering leader who thrives at the intersection of hardware, software, and manufacturing and re-manufacturing operations. You'll own the end-to-end manufacturing network and test ecosystem — from early prototype builds through high-volume production and sustaining — across server (L10) and rack-level (L11/L12) integration. This role requires someone who doesn't just find problems but owns the fix, builds self-remedy capabilities, and relentlessly drives uptime and automation. AWS Manufacturing & Repair is a part of the broader AWS Infrastructure Services team which owns the design, planning, delivery, and operation of all AWS global infrastructure. We are the teams 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. Come join our team and be a part of history as we deliver results for the largest cloud services company on Earth! This role directly supports physical manufacturing environments across multiple locations with travel expected 25% of the time. Key job responsibilities Lead and develop a team of engineers to support the reliability of the products being manufactured where the automation and build/test is critical to safety for our Builders and critical to quality for customers. Own and Support the Test Ecosystem: Architect, develop, and maintain the manufacturing test infrastructure for AI server hardware products, spanning board-level validation through full rack integration and networking. Build and Scale Test Software: Design and maintain production test software and automation frameworks using Python, Bash, and related tooling, including test sequencing, equipment control, data collection, and reporting pipelines. Drive Automation & Self-Remedy: Develop automated test processes and self-healing capabilities that reduce manual intervention, increase throughput, and improve first-pass yield across the production line. Define Test Strategy: Establish modular test strategies, define pass/fail limits, and implement statistical process controls (GR&R, Cp/Cpk, correlation analysis) to ensure product quality at scale. Analyze Production Data: Compile and analyze test data using both automated reporting systems and exploratory analysis techniques to identify trends, root-cause failures, and drive corrective actions Own Uptime & Yield: Monitor functional test yield across shifts, lead triage efforts for test-station failures, and drive weekly production quality reviews with cross-functional partners. Collaborate Across Teams: Work closely with hardware design, firmware, process engineering, quality, and operations teams to ensure test requirements are aligned and products are designed for efficient, high-quality manufacturing. Guide Fixture & Infrastructure Design: Partner on test fixture design and procurement, ensuring alignment to cost, scalability, and schedule requirements; engage in RFQ processes for optimal end-to-end test solutions. Support New Product Introduction (NPI): Support partner teams in the development of test solutions for new product builds, from concept prototypes through production ramp, ensuring readiness at each phase gate. Sustain & Improve: Provide ongoing support for deployed test systems, implement configuration changes for new product variants, and maintain comprehensive documentation of test procedures, specifications, and infrastructure. Provide Feedback Upstream: Deliver actionable design-for-test (DFT) feedback to hardware and firmware development teams to improve testability and manufacturing efficiency for future platforms. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 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: - 5+ years of management experience - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Knowledge of the electrical and mechanical systems involved in critical data center operations including systems such as feeders, transformers, generators, switchgear, UPS systems, ATS units, PDU units, chillers, pumps, air handling units, and CRAC units - Experience hiring, developing, and managing high-performing technical teams - Experience in manufacturing environment for data center hardware components or other critical to quality technical industries Preferred Qualifications: - Knowledge of building codes and regulations including Life Safety, BOCA, NFPA, NEC, and OSHA - Experience owning the operation of a mission-critical team or product - Experience with large-scale technical operations or large-scale compute farms - Experience with process improvement techniques such as Kaizen, Lean Manufacturing or Six Sigma 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, KY, Florence - 153,200.00 - 254,500.00 USD annually USA, TX, Austin - 153,200.00 - 254,500.00 USD annually USA, WA, Bellevue - 153,200.00 - 254,500.00 USD annually", "summaryDescription" : "Manager, Test and Technical Engineering at Amazon Data Services, Inc.. Skills: Software development, People management, Cloud computing. Manage a team of software engineers. Design and develop scalable software solutions", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:56:46.891", "lastUpdated" : "2026-06-16T07:22:57.615", "ingestTimestamp" : "2026-06-15T21:56:46.891", "mongoId" : "6a30564bf292fd229cf26f23", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448533/apply", "salaryAnnualMin" : 153200, "salaryAnnualMax" : 254500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "People management", "Cloud platforms", "Distributed systems", "Cloud computing", "System design", "Project management", "Team leadership", "Agile methodologies", "Machine learning", "Large-scale data processing" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3066e8f292fd229cfb6da1", "title" : "Director of Warehouse and Distribution", "company" : "Kent Outdoors", "industry" : "Logistics", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Warehouse and Distribution in Pooler, United States, adjusted for industry and company size." }, "location" : "Pooler, GA", "locations" : [ "Pooler", "GA" ], "timestamp" : "2026-06-16T08:47:19.562", "fingerprint" : "6e0a38240362cdb94a72d33e88bd9ee05626a46b6f45d5f5e84d66d818c2bbb5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://kentoutdoors.com/careers?gh_jid=5263338008", "externalId" : "5263338008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pooler", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.1158983,-81.2495131" } ], "locationText" : "Pooler, Georgia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Director", "technicalSkills" : "WMS software", "professionalSkills" : [ "Warehouse management", "Distribution management", "Inventory control", "Logistics operations", "Team leadership", "Process improvement", "Vendor management", "Budget management", "Performance metrics" ], "hardSkillsList" : [ "Warehouse operations", "Distribution operations", "Inventory management", "Logistics planning", "Budgeting", "Performance analysis" ], "hardSkills" : [ { "name" : "Warehouse operations", "level" : "intermediate" }, { "name" : "Distribution operations", "level" : "intermediate" }, { "name" : "Inventory management", "level" : "intermediate" }, { "name" : "Logistics planning", "level" : "intermediate" }, { "name" : "Budgeting", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" } ], "majorSkills" : "Warehouse operations, Distribution management, Inventory control", "majorSkillsList" : [ "Warehouse operations", "Distribution management", "Inventory control" ], "coreResponsibilities" : "Oversee daily warehouse operations, Manage inventory levels and accuracy, Ensure efficient distribution processes, Lead and develop warehouse staff, Implement and maintain warehouse safety standards, Manage warehouse budget and expenses, Optimize warehouse layout and workflow, Collaborate with logistics and supply chain teams, Monitor and report on key performance indicators, Manage relationships with vendors and carriers, Ensure compliance with regulations", "teamCollaboration" : "Logistics teams; Supply chain teams; Warehouse staff", "domainKnowledge" : "Warehouse operations; Distribution logistics; Inventory management systems", "domainList" : [ "warehouse-operations", "distribution-logistics", "inventory-management-systems" ], "domainSpecificKnowledge" : [ "Warehouse operations", "Distribution logistics", "Inventory management systems" ], "toolProficiency" : [ "WMS software" ], "communicationSkills" : "Performance reporting; Vendor communication", "documentationSkills" : "Safety procedures; Process documentation", "innovationCreativity" : "Process optimization", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Maintain inventory accuracy; Improve operational efficiency; Reduce distribution costs; Ensure timely order fulfillment; Enhance warehouse safety", "qualificationsBasic" : "5+ years of experience in warehouse operations, 3+ years of experience in a management role, Experience with WMS software", "qualificationsPreferred" : "Bachelor's degree in Supply Chain Management or related field, Experience with Lean or Six Sigma methodologies", "workSiteFlexibility" : "Onsite", "rawDescription" : "For over 50 years KENT OUTDOORS has been the ultimate destination for outdoor enthusiasts, offering a curated collection of industry-leading brands driven by the pure pursuit of adventure. KENT Outdoors is a collection of brands all obsessively focused on building the most innovative and reliable equipment for use in our most revered natural playgrounds. We relentlessly dream, build, and offer products that empower the very best days outside. We’re a collection of outdoor fanatics, product geeks, marketing mavens, and entrepreneurs all focused on pushing through boundaries, both on land, and in the water. Holding true to our roots while evolving for the future, the family of KENT brands today includes Absolute Outdoors, Arctic Shield, Aquaglide, Arbor Snowboards, Barefoot International, BOTE, Connelly, FatSac, Freedom Foil, Full Throttle, HO Sports, Hyperlite, KENT, Liquid Force, Margaritaville, O’Brien, and Onyx. Your Impact The Director of Warehouse and Distribution is responsible for management of the new Pooler, GA facility (170,000 sq. ft. building, with 20 team members) and all aspects of distribution within the facilities. This role will develop and implement strategies for improving Key Performance Indicators including shrink, incident rates, overtime, pick rates, order accuracy, and customer satisfaction. The Director will be an expert in Safety, Continuous Improvement, and Warehouse Operations. What You’ll Do Maintains inbound receiving process while focusing on maintaining or improving container receiving times. Controls inventory levels by managing a robust cycle count process Complies with federal, state, and local warehousing, material handling, and shipping requirements. Safeguards warehouse operations and contents by establishing and monitoring security procedures and protocols. Implementing and Managing the Safety Program Maintains physical condition of warehouse by planning and implementing new design layouts to improve efficiency Achieves financial objectives by preparing an annual budget; scheduling expenditures; analyzing variances; initiating corrective actions. Completes warehouse operational requirements by scheduling and assigning employees Maintains warehouse staff by recruiting, selecting, orienting, and training employees. Maintaining a close relationship with local staffing agencies will be important. Maintains warehouse staff job results by coaching, counseling, and disciplining employees Maintains professional and technical knowledge by attending educational workshops Contributes to team effort by accomplishing related results as needed. Monitor, manage, and communicate key KPI’s across all phases of operations Maintain a relationship with local law enforcement and fire departments and ensure our facility is up to code This role will be the point of contact for anything related to managing the facility. This included, fire department, police department, security system, inbound and outbound freight companies, and more. What You’ve Accomplished Proven work experience as a Warehouse Manager or Director of Warehousing is a must have. Expertise in creating warehouse management procedures and best practices Proven ability to implement process improvement initiatives Strong knowledge of warehousing Key Performance Indicators (KPIs) Hands on experience with warehouse management software and databases Leadership skills and ability manage staff Strong decision making and problem-solving skills Excellent communication skills Experience implementing or managing a safety program is required Continuous Improvement Experience is preferred Bachelor Degree is preferred How You Thrive You go “all out.”  You tend to approach everything you do with velocity.  From your next exhilarating outdoor adventure to scaling meaningful peaks at work, you act with speed, direction, ethics, and forethought. Your efficiency is rooted in the knowledge that resources are not infinite. You are goal-oriented and focused on outcomes. When you see a challenge or obstacle to overcome, you jump in collaboratively to find a solution; team achievements should be celebrated more than individual performance. You are compelled to share your perspective because it is rooted in experience and synthesis thinking - you know that healthy debate yields better decisions. You are humble despite your impressive past accomplishments. Your communication style is honest and forthright, yet empathetic, with everyone.  KENT Outdoors is proud to be an Equal Opportunity Employer. ", "summaryDescription" : "Director of Warehouse and Distribution at Kent Outdoors. Skills: Warehouse operations, Distribution management, Inventory control. Oversee daily warehouse operations. Manage inventory levels and accuracy", "postedDate" : "2026-06-15T23:28:44.606", "createdAt" : "2026-06-15T23:28:44.606", "lastUpdated" : "2026-06-16T08:47:19.562", "ingestTimestamp" : "2026-06-15T23:28:44.606", "mongoId" : "6a3066e8f292fd229cfb6da1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Warehouse operations", "Distribution operations", "Inventory management", "Logistics planning", "Budgeting", "Performance analysis", "Distribution management", "Inventory control", "Warehouse management", "Logistics operations", "Team leadership", "Process improvement", "Vendor management", "Budget management", "Performance metrics", "Distribution logistics", "Inventory management systems", "WMS software" ], "skillCount" : 18, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Outdoor & Apparel", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306034f292fd229cf8815a", "title" : "Director of Engineering", "company" : "GiveDirectly", "salary" : { "min" : 7500000.0, "max" : 1.25E7, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on global remote Director of Engineering roles in the non-profit sector, adjusted for seniority and the global remote nature of the position." }, "location" : "Global", "locations" : [ "Global" ], "timestamp" : "2026-06-16T11:09:40.591", "fingerprint" : "ef5eb2f7874069713e0ee993454c5bb6490a56ba48019184d92e6ac6e056d6cd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/givedirectly/jobs/4706119005", "externalId" : "4706119005", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "experienceLevel" : "Director", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "GiveDirectly has delivered more than $1B in cash directly to 2+ million people living in poverty across 15 countries since 2011. We believe cash transfers are one of the most scalable, cost-effective, and dignified forms of aid, with the research to back it up. Our work has been covered by The Economist, NPR, TED, and The Washington Post. We are one of Time100’s Most Influential Companies of 2026. Our culture is candid, analytical, and non-hierarchical. We support high ownership and real professional growth. Curious about what it's really like to work here? Read our values and hear from the people who do. If they resonate, this could be a great fit! Location: This role is fully remote but will directly manage team members spanning East Africa Time to US Pacific Time. You must overlap with East Africa Time by at least 3 hours. As an example, 6PM East Africa Time is 11AM US Eastern time in the summer and 10AM in the winter. In practice, if you are in the Eastern US timezone, that means being regularly available for 8AM meetings and some 7AM ones. We know people have commitments like school drop-offs, so you’re encouraged to set a schedule that works for you—as long as there’s sufficient overlap with the team. We are unable to sponsor or take over sponsorship of employment Visas in the U. S. or U. K. at this time. About this role We’re hiring a Director of Engineering to build a best-in-class engineering department in a moment of rapid growth; we’ve more than doubled our engineering team in the last year and are continuing to hire. Your initial focus will be on our cash delivery platform: you'll own the technical systems that deliver the next $4B to people in extreme poverty, our goal for the next nine years, with scenarios on the table that would require us to scale much faster. We recently launched a platform rebuild as a greenfield project, and the work ahead is scaling it from initial launch to delivering billions. This role is deliberately sequenced: you'll start close to the ground — directly managing engineers, partnering with our platform product lead on roadmap and delivery, and getting deep in the operational details (on-call, incident response) — because we believe the leader who builds that context firsthand is the one who can design the right organization for the next level of scale. You will own maintaining and scaling a strong engineering culture through rapid growth: shaping how we hire and structure teams, recruiting and retaining a high talent density team, and building strong operating processes and culture that encourage open debate in search of the best outcomes for recipients rather than attachment to being right or looking good; continuous learning, improvement, and adoption of new tools; deep product ownership in service of impact for recipients; and strong judgment about tradeoffs. You'll set a high technical quality bar, pressure-testing designs and tradeoffs while still giving a very senior team high autonomy. You’ll shape our multi-year technical strategy: where the platform should be shared across product lines versus split or modular, when to build versus buy versus extend, how to sequence major architectural transitions, and how to balance investment with feature development. You optimize for recipient impact, not the most interesting technical problem. We're not driven by hot new technical trends; we're building the hard tech that matters to recipients — integrations with mobile money rails and delivery in low-connectivity contexts. You'll represent engineering at the senior leadership level and own the interface between engineering and team members who haven't worked heavily with a product development organization before. That means learning our programs and the realities of our field teams, and working with partner teams to build our development practices, whether building trust that an MVP is a starting point rather than a final answer, or helping teams see why it’s worth taking time out of their urgent delivery goals to give feedback on a demo or try something new. As GiveDirectly scales, technology is what allows us to reach more people without breaking. Your leadership means getting more cash to the people who need it most. Reports to: VP of Technology Level: Director Travel Requirement: Must be able to travel ~2-3 times per year to one of our countries of operation for team retreats or field visits What you’ll do: Own the engineering organization for our cash delivery platform: its structure, staffing strategy, and operating model — and redesign these as the team grows, including deciding when and how to build out a management layer (today: 6 engineers on the cash delivery platform, 11 engineers total; additional hires planned this year) Own multi-year technical strategy for the platform: defining interfaces and boundaries between domains, determining when to build versus buy versus extend, and how to sequence major architectural transitions — driving the biggest bets to a decision with the Platform Product Lead, VP of Technology, and leadership Protect and scale the culture as we grow: open debate, product ownership, continuous improvement, and strong engineering foundations Own engineering delivery — the commitments leadership and stakeholders plan against, platform reliability, and the trade-offs between roadmap speed and platform investment — in close partnership with the Platform Product Lead Drive operational excellence, including on-call, incident response, code quality, testing, AI, and deployment practices Represent engineering at the leadership level: translate technical realities into business decisions and vice versa, and partner with diverse stakeholders to create the enabling environment for product development Coach and develop engineers through 1:1s, feedback, career planning, and performance management; hire, onboard, and retain a strong, inclusive team Set the technical quality bar: stay close enough to the technical work to weigh in on architecture, review designs, and help the team make sound trade-offs, without becoming the bottleneck What you’ll bring: Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve. Language Requirement: English 5+ years managing engineers, including experience leading multiple teams or a larger engineering organization through full delivery cycles 10+ years of overall industry experience building production software, with a strong backend foundation (databases, cloud services, APIs) Demonstrated ability to recruit, coach, develop, and retain engineers, building and retaining a talent-dense and inclusive team during periods of high growth Track record of building a strong engineering culture including candid, ego-free debate, deep product ownership, and continuously raising the bar on craft and tooling (including agentic engineering) You enable speed through focus and create clarity in ambiguity: cutting through complexity to the strategic kernel and shielding the team from distraction, so a senior team can move fast and autonomously Strong technical judgment driven by the mission, not ego: you can pressure-test architecture decisions with very senior engineers, have made consequential calls and lived with the results, and weigh technical and non-technical tradeoffs by recipient impact Energized to build product-development fluency in an organization that's relatively new to it: you've successfully partnered with non-technical stakeholders and leaders, and you’re excited by this, rather than daunted by it Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here. Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. United States Base Salary: $200,000 Bonus at Target Performance: 15% (~$30,000, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be ~$35,100) Estimated Total Compensation at Target: $230,000+ Annual Benefits Stipend: ~$33,427 This role is fully remote, so if you are not based in the US, we will share an estimated salary benchmark for the country you are based in during the hiring process. #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to \"Know Your Rights\" as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide!", "summaryDescription" : "Director of Engineering at GiveDirectly", "postedDate" : "2026-06-15T23:24:29.412", "createdAt" : "2026-06-15T23:24:29.412", "lastUpdated" : "2026-06-16T11:09:40.591", "ingestTimestamp" : "2026-06-15T23:24:29.412", "mongoId" : "6a306034f292fd229cf8815a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 7500000, "salaryAnnualMax" : 12500000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2ca06874d8ee00a09a224c", "title" : "Engineering Director", "company" : "Alva Energy", "industry" : "Engineering", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "GBP", "frequency" : 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stage-gated engineering maturity, Lead engineering maturity from FEL-1 through FEL-3, Set deliverables for engineering maturity, Set quality criteria for engineering maturity, Set gate reviews for engineering maturity, Develop specs for EPCs, Develop specs for major equipment, Review technical deliverables for EPCs, Review technical deliverables for major equipment, Draft engineering standards, Review engineering standards, Draft technical specifications, Review technical specifications, Draft contract scopes for EPC, Draft contract scopes for major equipment, Review contract scopes for EPC, Review contract scopes for major equipment, Own major equipment technical direction, Develop technical specifications for steam turbines, Develop technical specifications for condensers, Develop technical specifications for feedwater/condensate, Conduct technical evaluations of vendor proposals, Conduct technical evaluations of vendor designs, Translate engineering into field execution, Support construction-ready work packaging, Support construction-ready work execution, Provide engineering support during construction, Provide engineering support during commissioning, Provide engineering support during startup, Work across balance-of-plant modifications, Work across NSSS modifications, Build the team, Lead the team, Hire engineering team members, Onboard engineering team members, Mentor engineering team members, Grow Alva’s engineering team, Improve standards for project delivery, Improve tools for project delivery, Improve operating cadence for project delivery", "teamCollaboration" : "Internal Alva engineering team; External engineering contractors; EPC partners; Site owners; Key OEMs/suppliers", "projectManagementSkills" : [ "Stage-gated engineering maturity", "FEL-1 through FEL-3", "Work packaging" ], "domainKnowledge" : "Nuclear power projects; Power plant systems; Power conversion; Steam turbine plants; BOP systems; Oil & gas; Petrochemicals; Refining; LNG; Conventional power generation; Safety codes; Execution rigor", "domainList" : [ "nuclear-power-projects", "power-plant-systems", "power-conversion", "steam-turbine-plants", "bop-systems", "oil-gas", "petrochemicals", "refining", "lng", "conventional-power-generation", "safety-codes", "execution-rigor" ], "domainSpecificKnowledge" : [ "Nuclear power projects", "Power plant systems", "Power conversion", "Steam turbine plants", "BOP systems", "Oil & gas", "Petrochemicals", "Refining", "LNG", "Conventional power generation", "Safety codes", "Execution rigor" ], "documentationSkills" : "Technical specifications; Contract scopes", "problemSolvingSkills" : "Issue resolution", "specialRequirements" : "Up to 25% travel", "qualificationsBasic" : "Bachelor’s degree in Mechanical, Nuclear, Industrial, Petroleum, Chemical, Civil, Electrical, or related engineering discipline, 10-15 years of experience in power plant systems engineering or leading engineering on large power or process-industry projects with significant EPC or Owner’s Engineer interaction, Extensive knowledge of steam cycles and power conversion, Understanding of steam turbine plants and major BOP systems, Experience managing engineering teams across multiple disciplines, Background in a hard-tech startup taking complex systems from 0→1, Engineering leadership in oil & gas, petrochemicals, refining, LNG, or conventional power generation environments", "qualificationsPreferred" : "Stakeholder management and communication, Willingness to travel up to ~25% to sites and suppliers", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Alva Energy is developing a large nuclear power uprate projects. We are hiring an Engineering Director to report to the CTO and lead engineering from early-stage screening through design maturity and field execution, owning multi-discipline integration, EPC performance, major equipment technical direction, and stakeholder coordination. This role blends power plant systems leadership with project engineering/program leadership. You’ll manage both the internal Alva engineering team and external engineering contractors/EPC partners, and you’ll interface directly with site owners and key OEMs/suppliers. Key Responsibilities: - Lead multi-discipline engineering delivery: coordinate mechanical, electrical/I&C, civil/structural engineering. - Own plant power integration: lead system design for modifications and tie-ins to the existing plant. - Manage EPCs and engineering contractors: define scopes, interfaces, and deliverables; run design/progress reviews; oversee technical performance, RFIs, design changes, and issue resolution. - Drive stage-gated engineering maturity: lead engineering maturity from FEL-1 through FEL-3 (or 30/60/90%), setting deliverables, quality criteria, and gate reviews. - Develop specs and review technical deliverables: draft/review engineering standards, technical specifications, and contract scopes for EPC and major equipment. - Own major equipment technical direction: develop technical specifications for steam turbines, condensers, and feedwater/condensate systems; conduct technical evaluations of vendor proposals and designs. - Translate engineering into field execution: support construction-ready work packaging and execution plans; provide engineering support during construction, commissioning, and startup. - Work across balance-of-plant and NSSS modifications - Build and lead the team: hire, onboard, mentor, and grow Alva’s engineering function; improve standards, tools, and operating cadence for project delivery. Qualifications - Bachelor’s degree in Mechanical, Nuclear, Industrial, Petroleum, Chemical, Civil, Electrical, or related engineering discipline. - 10-15 years of experience in power plant systems engineering and/or leading engineering on large power or process-industry projects with significant EPC or Owner’s Engineer interaction. - Extensive knowledge of steam cycles and power conversion systems; strong understanding of steam turbine plants and major BOP systems. - Strong stakeholder management and communication skills; willingness to travel up to ~25% to sites and suppliers. - Experience managing engineering teams across multiple disciplines, including leading both internal engineers and external contractors/EPC partners. - Background in a hard-tech startup taking complex systems from 0→1 (concept to first deployment). - Engineering leadership in oil & gas, petrochemicals, refining, LNG, or conventional power generation environments with high rigor around safety, codes, and execution.", "summaryDescription" : "Engineering Director at Alva Energy. Skills: Multi-discipline integration, EPC performance, Major equipment direction, Stakeholder coordination. Lead multi-discipline engineering delivery. 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"language" : "en", "applyUrl" : "https://ossiumhealth.com/jd?gh_jid=4689003006", "externalId" : "4689003006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Indianapolis", "state" : "Indiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7683331,-86.1583502" } ], "locationText" : "Indianapolis, Indiana, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceLevel" : "Director", "technicalSkills" : "Python, Java, C++, Go, SQL, NoSQL, AWS, Azure, GCP, Docker, Kubernetes, CI/CD, REST APIs, GraphQL, Microservices, Linux, Shell scripting", "professionalSkills" : [ "System design", "Architecture design", "Problem solving", "Analytical thinking" ], "hardSkillsList" : [ "Software development", "Cloud computing", "DevOps practices", "Data engineering", "API development", "Database management", "System administration" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "DevOps practices", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "System administration", "level" : "intermediate" } ], "majorSkills" : "Software engineering, Cloud infrastructure, DevOps, Biotech data", "majorSkillsList" : [ "Software engineering", "Cloud infrastructure", "DevOps", "Biotech data" ], "coreResponsibilities" : "Design, develop, and maintain scalable software systems, Build and manage CI/CD pipelines, Implement and manage cloud infrastructure, Develop and maintain data pipelines, Collaborate with cross-functional teams, Troubleshoot and resolve software defects, Optimize system performance, Ensure system security and compliance, Mentor junior engineers, Contribute to architectural decisions", "teamCollaboration" : "Cross-functional teams; Engineering teams; Research scientists; Data scientists", "projectManagementSkills" : [ "Agile methodologies", "Scrum framework" ], "domainKnowledge" : "Genomics; Proteomics; Drug discovery; Clinical trials; Bioinformatics", "domainList" : [ "genomics", "proteomics", "drug-discovery", "clinical-trials", "bioinformatics" ], "domainSpecificKnowledge" : [ "Genomics", "Proteomics", "Drug discovery", "Clinical trials", "Bioinformatics" ], "toolProficiency" : [ "Git", "JIRA", "Jenkins", "Terraform", "Ansible", "Prometheus", "Grafana" ], "communicationSkills" : "Technical documentation; Presentations", "documentationSkills" : "Technical writing; Architecture diagrams; API documentation", "continuousLearning" : "Professional development; Attending conferences", "innovationCreativity" : "Exploring new technologies; Developing novel solutions", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Analytical problem solving", "outcomesObjectives" : "Deliver high-quality software; Improve system reliability; Enhance system scalability; Accelerate research timelines", "qualificationsBasic" : "Bachelor's degree in a relevant field, 5+ years of experience in software engineering, Experience with cloud platforms (AWS, Azure, GCP), Experience with CI/CD pipelines, Experience with containerization technologies (Docker, Kubernetes)", "qualificationsPreferred" : "Master's degree or PhD in a relevant field, Experience in the biotech or pharmaceutical industry, Experience with data analysis and visualization tools, Experience with machine learning frameworks", "remoteFriendly" : false, "rawDescription" : "About Ossium Ossium’s mission is to improve the health, vitality, and longevity of human beings through bioengineering. We develop, manufacture, and bank cell therapy products that apply the power of stem cell science to revolutionize treatment for patients with blood, immune, and orthopedic diseases. At Ossium, we empower our employees, maintain the highest standards of operational excellence, and are a force for good. About the Job This is a high-impact leadership role at the center of our manufacturing and technical operations. As the Associate Director of Engineering, you will lead the engineering and maintenance function supporting GMP/GTP manufacturing, ensuring equipment, processes, and systems remain reliable, compliant, and scalable as we grow. You will partner closely with Production, Manufacturing, Quality, Supply Chain, MSAT, and Facilities to position Engineering as both a technical problem solver and a strategic enabler of safe, high-quality, and reliable product supply. As a key member of the Site Operations Team, you will drive disciplined execution, risk-based decision-making, and continuous improvement across the site. This role is ideal for a technical leader who thrives in complex, regulated environments, builds strong and accountable teams, and is energized by modernizing systems to support increasing production demand and new product launches. The position reports directly to the SVP of Manufacturing Operations. Required Qualifications Bachelor’s degree in Engineering and 8+ years of experience in pharmaceutical or biotech manufacturing OR 12+ years of relevant engineering experience in a regulated manufacturing environment 4+ years of people management experience leading engineers or technical staff Strong working knowledge of CGMP/CGTP requirements and engineering support in regulated aseptic or sterile manufacturing environments Experience with equipment qualification (IQ/OQ/PQ), validation, and change controls Proven track record of improving equipment reliability and reducing unplanned downtime Strong project management, documentation, and communication skills Experience with root cause analysis, FMEA, and SOP development This position is based full time onsite in our Indianapolis facility Preferred Qualifications Experience supporting commercial-scale pharmaceutical or biotech manufacturing, including tech transfers, in multiple functional areas Familiarity with computerized maintenance management systems (CMMS) Experience leading capital projects and facility expansions Lean or Six Sigma certification Experience implementing automation and digital engineering solutions Experience interacting with regulatory inspectors (FDA, EMA, or equivalent) Expertise in business intelligence and analytics (Tableau, Power BI, SQL) Key Responsibilities Lead, mentor, and develop a high-performing engineering team including facilities, validation, maintenance, and automation personnel Be a key member of our Site Operations Team, ensuring reliable supply of product to patients Own equipment lifecycle management including design input, commissioning, qualification, maintenance strategy, and retirement Oversee capital projects from concept through execution, ensuring scope, budget, and timelines are achieved Establish and improve preventive maintenance and reliability programs to reduce downtime and deviation risk Partner with Manufacturing, QA, and MSAT to support process improvements and capacity expansion Ensure engineering compliance with CGMP/CGTP, safety standards, and internal procedures Lead root cause investigations related to equipment, utilities, and facility systems Drive data-based reliability improvements using trend analysis and KPIs Support inspection readiness and represent Engineering during regulatory audits Develop long-term facility and infrastructure strategy aligned with commercial growth plans Travel (domestic and international) when required (<10%) to support other sites In your first six months some projects you’ll work on include: Assessing current equipment reliability, PM effectiveness, and engineering KPIs Implementing a new CMMS software platform Identifying and prioritizing capital investments to support production growth Standardizing engineering documentation and technical standards Developing a 12-24 month engineering roadmap aligned to commercial scale and regulatory readiness We offer a full slate of employee benefits including: Competitive salaries Stock options 401(k) matching Medical, dental and vision coverage Four weeks of PTO accrued (vacation & sick time) annually + 11 company holidays Employer paid life insurance and long term disability Gym membership/recreational sports reimbursements Ossium Health provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, sexual orientation, gender identity, gender expression, or any other protected characteristic. Our Equal Employment Opportunity Policy Statement and the Know Your Rights: Workplace Discrimination is Illegal Poster reaffirm this commitment. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. If reasonable accommodation is needed, please contact our People Team at careers@ossiumhealth.com or 650-285-0603. Ossium Health complies with federal and state disability laws and makes reasonable accommodations for applicants and candidates with disabilities. Principals / direct applicants only please. Recruiters, please do not contact this job poster. Equal Opportunity Employer/Veterans/Disabled", "summaryDescription" : "Associate Director of Engineering at Ossium Health. Skills: Software engineering, Cloud infrastructure, DevOps, Biotech data. Design, develop, and maintain scalable software systems. Build and manage CI/CD pipelines", "postedDate" : "2026-06-15T23:28:47.909", "createdAt" : "2026-06-15T23:28:47.909", "lastUpdated" : "2026-06-16T07:17:11.874", "ingestTimestamp" : "2026-06-15T23:28:47.909", "mongoId" : "6a306783f292fd229cfbe8c7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "Cloud computing", "DevOps practices", "Data engineering", "API development", "Database management", "System administration", "Software engineering", "Cloud infrastructure", "DevOps", "Biotech data", "System design", "Architecture design", "Problem solving", "Analytical thinking", "Agile methodologies", "Scrum framework", "Genomics", "Proteomics", "Drug discovery", "Clinical trials", "Bioinformatics", "Git", "JIRA", "Jenkins", "Terraform", "Ansible", "Prometheus", "Grafana" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306f0df292fd229cfe45de", "title" : "Director of Engineering, Infrastructure", "company" : "Klaviyo", "industry" : "Technology", "salary" : { "min" : 250000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Engineering, Infrastructure in Boston, MA, adjusted for SaaS industry and company size." }, "location" : "Boston, Massachusetts, United States", "locations" : [ "Boston", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T12:33:07.745", "fingerprint" : "bf44336977e4225f4b02ebff6a90b1d48fca44cd0f3532310e3ceb2dfa1266f1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.klaviyo.com/careers/jobs?gh_jid=7768263003", "externalId" : "7768263003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "experienceLevel" : "Director", "technicalSkills" : "Compute runtimes, Storage options, Service networking, AI", "professionalSkills" : [ "Platform primitives", "Capacity planning", "Developer enablement", "Cost management", "Performance metrics", "Infrastructure management", "Incident management", "Postmortems" ], "hardSkillsList" : [ "SLOs", "SLIs", "SRE principles" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "SLOs", "level" : "intermediate" }, { "name" : "SLIs", "level" : "intermediate" }, { "name" : "SRE principles", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Infrastructure, Platform engineering, SRE, Cloud", "majorSkillsList" : [ "Infrastructure", "Platform engineering", "SRE", "Cloud" ], "coreResponsibilities" : "Define platform primitives, Create golden paths, Create decision trees, Drive initiatives reliability, Coordinate with product teams, Eliminate infrastructure bottlenecks, Establish cost frameworks, Mentor high-performing teams, Develop high-performing teams, Set clear goals, Collaborate with partners, Manage platform investments, Clarify ownership, Implement infrastructure changes, Track performance metrics, Report performance metrics, Optimize AI use, Enhance infrastructure management, Enhance development processes, Pioneer innovative workflows, Champion operational readiness, Establish SLAs, Establish SLIs, Facilitate learning culture, Facilitate experimentation culture, Deploy AI enhancements, Streamline engineering workflows, Lead incident management, Lead postmortems", "teamCollaboration" : "Industry leaders; Cross-functional partners; Product teams; Engineering teams; Security teams; Finance teams", "domainKnowledge" : "Enterprise-grade web properties; LiveSite platform", "domainList" : [ "enterprise-grade-web-properties", "livesite-platform" ], "domainSpecificKnowledge" : [ "Enterprise-grade web properties", "LiveSite platform" ], "innovationCreativity" : "Pioneering innovative workflows; Continuous learning; Experimentation with AI tools", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Achieve reliability metrics; Achieve performance metrics; Reduce friction; Enhance developer velocity; Improve time-to-market; Increase developer satisfaction; Maximize value delivery; Align goals with business priorities; Drive strategic outcomes; Enable data-driven decision-making; Ensure performance thresholds", "qualificationsBasic" : "10+ years experience infrastructure, 5+ years managing managers, 5+ years managing senior ICs, Experience with LiveSite, Understand infrastructure requirements, Understand integration patterns, Understand operational demands", "qualificationsPreferred" : "Deep understanding of SRE principles, Proven expertise designing SLOs, Proven expertise designing SLIs, Proven expertise managing incidents, Proven expertise capacity planning, Proven expertise operational continuity", "workSiteFlexibility" : "Flexible", "rawDescription" : "At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Klaviyo’s mission is to empower businesses to independently drive their growth, and the Engineering Department's contribution to this mission is crucial. As Director of Production Infrastructure, you'll helm the creation and management of a high-performance platform designed to support the rapid innovation demanded by our R&D teams. This role is all about defining the pillars of our infrastructure, compute, storage, networking, observability, and setting a robust set of principles that guide their use. In this position, you'll be entrusted with the responsibility of developing and maintaining platform primitives that empower our engineering teams to bring ideas to life seamlessly. Collaborating with industry leaders across engineering, security, and finance, your decisions will shape the infrastructure blueprint that underpins our scalable, secure, and cost-effective operations. As a leader, your mission is to foster a culture of ownership, innovation, and productivity while steering teams toward achieving critical reliability and performance metrics. Your role will span across defining clear service contracts, instituting capacity plans, and honing our developer enablement strategy to reduce friction and enhance developer velocity. How You’ll Make a Difference Lead the definition of platform primitives such as compute runtimes, storage options, and service networking, ensuring they are scalable, secure, and aligned with Klaviyo's standards for operational excellence. Create and disseminate golden paths and decision trees that simplify the technological choices for R&D teams, enhancing consistency and self-sufficiency across engineering efforts. Drive initiatives that enhance the reliability of production systems, focusing on incident prevention, transparent response protocols, and proactive capacity planning. Coordinate with product teams to identify and eliminate infrastructure bottlenecks, aiding in improving the time-to-market for new services and increasing developer satisfaction. Establish frameworks for cost-effective infrastructure management, balancing financial discipline with flexibility and efficiency to maximize value delivery. Mentor and develop high-performing teams, fostering a culture of inclusivity and ownership, while setting clear, impactful goals that align with business priorities. Collaborate with cross-functional partners to manage platform investments, clarify ownership, and safely implement infrastructure changes that drive strategic outcomes. Track and report critical performance metrics, such as system reliability, developer productivity, and infrastructure costs, enabling data-driven decision-making and accountability. Optimize the use of AI to enhance infrastructure management and development processes, pioneering innovative workflows that keep Klaviyo at the forefront of technological advancement. Champion operational readiness by establishing robust SLAs and SLIs, ensuring all infrastructure components meet defined performance thresholds conforming to Klaviyo's quality standards. Facilitate a culture of continuous learning and experimentation with AI tools, deploying enhancements that intelligently streamline engineering workflows. Lead a disciplined approach to incident management and postmortems, establishing a blameless culture of learning and innovation to minimize future disruptions. Who You Are You have over 10 years of experience in infrastructure, SRE, platform engineering, or security engineering, with at least 5 years managing managers and senior ICs, demonstrating strong leadership and team-building skills. Your leadership style fosters inclusivity and empowerment, setting high standards that inspire your teams to achieve ambitious goals aligned with Klaviyo's mission. You possess a deep understanding of SRE principles, with proven expertise in designing effective SLOs and SLIs, managing incidents, and ensuring capacity planning and operational continuity. You have experience with LiveSite (the enterprise web platform) and understand the infrastructure requirements, integration patterns, and operational demands that come with supporting enterprise-grade web properties at scale. You own the live site, you bring urgency, clear judgment, and a structured approach to production incidents, and you build teams that treat uptime and reliability as first-order concerns, not afterthoughts. You have a proven track record of standing up or strengthening LiveSite culture inside engineering orgs. You excel at simplifying complexity and creating logical clarity, using your strong communication skills to drive organizational changes across product, data, and security domains. Your decision-making is driven by outcomes, and you're comfortable prioritizing initiatives that deliver the most significant business impact, even if it means narrowing the scope. Your hands-on experience with AI makes you AI-curious, and you're eager to leverage it to drive smarter, more efficient infrastructure operations. Your technical expertise is both broad and deep, you command public cloud services, container orchestration, service meshing, data storage, and observability at a systems level, and you remain hands-on when it counts, able to roll up your sleeves and debug a complex distributed-systems problem alongside your team. You build and nurture a culture of ownership and continuous improvement, encouraging your teams to innovate and excel while maintaining a strong focus on customer value. You possess a keen ability to balance strategic thinking with tactical execution, ensuring infrastructure solutions not only meet current needs but are future-proof and scalable. You are an org builder, you know how to scale a team thoughtfully, develop high-potential engineers into managers, and create the conditions for leaders to emerge and grow. You raise the bar relentlessly, you set high standards for engineering excellence, hold yourself and your teams accountable to those standards, and invest continuously in growing the people around you. You are an org builder, you know how to scale a team thoughtfully, develop high-potential engineers into managers, and create the conditions for leaders to emerge and grow. You raise the bar relentlessly, you set high standards for engineering excellence, hold yourself and your teams accountable to those standards, and invest continuously in growing the people around you. Committed to fostering a learning environment, you continually seek ways to improve team skills, processes, and technologies to align with Klaviyo's growth and innovation objectives. You bring a security-first mindset to infrastructure decisions, with experience partnering closely with security engineering teams to build platforms that are secure by design and operationally hardened. You bring a security-first mindset to infrastructure decisions, with experience partnering closely with security engineering teams to build platforms that are secure by design and operationally hardened. Nice to Have Previous experience in transforming internal platforms into productized services, complete with SLAs and developer experience-focused roadmaps. Background in architecting data-centric and event-driven systems at a large scale, particularly within a high-growth environment. Established partnerships with centralized data platforms, defining clean ownership boundaries and integrating efficiently with existing workflows. Proven track record of optimizing both cost-to-serve and reliability metrics in a scaling SaaS company, driving significant impact on the bottom line. Familiarity with the challenges and opportunities characteristic of a high-growth SaaS milieu, with a focus on leveraging those to drive platform innovation and efficiency. Why This Role Matters The Director of Production Infrastructure at Klaviyo is a mission-critical role that directly influences the core foundations of our technology stack. Ensuring that our infrastructure is robust, scalable, and future-proof enables our engineering teams to accelerate product development effectively and safely, cementing Klaviyo’s position as an industry leader in empowering business growth. Your leadership will impact our ability to innovate rapidly and maintain the high standards of reliability our customers expect. By driving infrastructure improvements that reduce developer friction, enhance system reliability, and lower operational costs, you ensure Klaviyo can offer exceptional value to our clients while scaling our operations sustainably. For a top candidate, this role represents a unique opportunity to lead a team in redefining infrastructure excellence against the backdrop of a dynamic business landscape. You’ll play a pivotal role in shaping the technological trajectory of Klaviyo, working alongside passionate professionals committed to creating powerful solutions that enable our customers to achieve significant growth. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U. S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations: $244,000—$366,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking \"Submit Application\" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).", "summaryDescription" : "Director of Engineering, Infrastructure at Klaviyo. Skills: Infrastructure, Platform engineering, SRE, Cloud. Define platform primitives. Create golden paths", "postedDate" : "2026-06-16T01:15:39.691", "createdAt" : "2026-06-16T01:15:39.691", "lastUpdated" : "2026-06-16T12:33:07.745", "ingestTimestamp" : "2026-06-16T01:15:39.691", "mongoId" : "6a306f0df292fd229cfe45de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "SLOs", "SLIs", "SRE principles", "Leadership", "Mentoring", "Infrastructure", "Platform engineering", "SRE", "Cloud", "Platform primitives", "Capacity planning", "Developer enablement", "Cost management", "Performance metrics", "Infrastructure management", "Incident management", "Postmortems", "Enterprise-grade web properties", "LiveSite platform" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305fd3f292fd229cf8139e", "title" : "360 Recruitment Consultant – Engineering & Energy (UK Market)", "company" : "Amoria Group", "industry" : "Consulting", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Recruitment Consultant in Manchester, UK, with adjustments for the Engineering & Energy sector and a mid-sized recruitment company." }, "location" : "Manchester, England, United Kingdom", "locations" : [ "Manchester", "England", "United Kingdom" ], "timestamp" : "2026-06-16T07:38:13.521", "fingerprint" : "3165ecaa1e259e8e3de7f857b2e062e55de6dabc6de254583b5d8a2052c6f154", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/amoriabond/jobs/4897667101", "externalId" : "4897667101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manchester", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.4424618,-2.2324547" } ], "locationText" : "Manchester, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 12, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Business development", "Client engagement", "Market strategy" ], "hardSkillsList" : [ "Recruitment lifecycle management" ], "hardSkills" : [ { "name" : "Recruitment lifecycle management", "level" : "intermediate" } ], "majorSkills" : "Business development, Client relationship management, Candidate sourcing", "majorSkillsList" : [ "Business development", "Client relationship management", "Candidate sourcing" ], "coreResponsibilities" : "Develop new business, Build client portfolio, Manage client portfolio, Act as consultative partner, Headhunt specialist candidates, Engage specialist candidates, Manage recruitment lifecycle, Develop UK market strategy, Execute UK market strategy, Build client relationships, Build candidate relationships, Act as trusted advisor", "domainKnowledge" : "UK Engineering market; UK Energy market; Technical recruitment", "domainList" : [ "uk-engineering-market", "uk-energy-market", "technical-recruitment" ], "domainSpecificKnowledge" : [ "UK Engineering market", "UK Energy market", "Technical recruitment" ], "continuousLearning" : "Structured training; Dedicated coaching", "qualificationsBasic" : "12 months recruitment experience, Confident in business development, Confident in client engagement", "qualificationsPreferred" : "Specialise in UK Engineering, Specialise in UK Energy", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "360 Recruitment Consultant – Engineering & Energy (UK Market) We are expanding our consulting team at Amoria Bond and are looking to speak with experienced Recruitment Consultants who are ready to take ownership of a 360 role within our UK Engineering and Renewable Energy market. This is an opportunity to join a high-performance environment where you will manage your own desk, build long-term client relationships, and develop a specialist UK market within either Advanced Engineering or Energy. The role is suited to recruiters who are confident in both business development and delivery, and who want to progress within a consultative, commercially driven environment with strong earning potential and clear career development. About the role This is a full 360 Recruitment Consultant position focused exclusively on the UK market. You will be responsible for building and growing your own desk, developing long-term partnerships with engineering and energy clients, and delivering high-quality candidates into specialist technical roles. Your responsibilities will include: Developing new business across the UK Engineering or Energy market Building and managing your own client portfolio Acting as a consultative partner to clients on workforce and hiring needs Headhunting and engaging specialist candidates in technical markets Managing the full recruitment lifecycle from initial brief through to placement Developing and executing your own UK market strategy Building long-term relationships with clients and candidates Operating as a trusted advisor within your specialist sector About you We are looking for individuals who: Have at least 12 months recruitment experience in a 360 or sales-focused role Are confident in business development and client engagement Take a consultative, relationship-led approach to recruitment Are commercially driven and motivated by performance Can build strong, credible relationships with clients and candidates Want to specialise and build a long-term career within the UK Engineering or Energy market Are ambitious and motivated by earning potential and progression What we offer Competitive base salary with uncapped commission Strong earning potential with top consultants earning £200k+ Clear 10-step progression pathway from Consultant to Director Fast-track management opportunities within 12–24 months Structured training and development with dedicated coaching support Dedicated UK market focus within Engineering or Energy Hybrid working and flexible working arrangements Company car scheme including premium brands Monthly incentives, team socials and global company events Annual personal development allowance Comprehensive wellbeing and support package About Amoria Bond Amoria Bond is a global recruitment and consulting business operating across technology, engineering and energy sectors. We support organisations delivering complex, high-impact projects across international markets. Our UK teams are established and high-performing, offering strong market access, long-term client relationships, and clear opportunities to build a successful and scalable desk. Our purpose is Progressing Lives Everywhere. No terminology in this advert is intended to discriminate on the grounds of age or experience, and we confirm that we are happy to accept applications from persons of any age or experience for this role. IND123", "summaryDescription" : "360 Recruitment Consultant – Engineering & Energy (UK Market) at Amoria Group. Skills: Business development, Client relationship management, Candidate sourcing. Develop new business. Build client portfolio", "postedDate" : "2026-06-15T23:26:21.992", "createdAt" : "2026-06-15T23:26:21.992", "lastUpdated" : "2026-06-16T07:38:13.521", "ingestTimestamp" : "2026-06-15T23:26:21.992", "mongoId" : "6a305fd3f292fd229cf8139e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Recruitment lifecycle management", "Business development", "Client relationship management", "Candidate sourcing", "Client engagement", "Market strategy", "UK Engineering market", "UK Energy market", "Technical recruitment" ], "skillCount" : 9, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Recruitment", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305fd3f292fd229cf8139d", "title" : "360 Recruitment Consultant – Engineering & Energy (European Markets)", "company" : "Amoria Group", "industry" : "Consulting", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Recruitment Consultant in Manchester, UK, with adjustments for the Technology industry and company size." }, "location" : "Manchester, England, United Kingdom", "locations" : [ "Manchester", "England", "United Kingdom" ], "timestamp" : "2026-06-16T07:41:08.698", "fingerprint" : "d4f65251fe89820b7bf9e0702e07f0c3b2102ab6edcdbac6320abe8fc7e0d661", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/amoriabond/jobs/4897662101", "externalId" : "4897662101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manchester", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.4424618,-2.2324547" } ], "locationText" : "Manchester, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Business development", "Client engagement", "Relationship management" ], "hardSkillsList" : [ "Recruitment lifecycle management" ], "hardSkills" : [ { "name" : "Recruitment lifecycle management", "level" : "intermediate" } ], "majorSkills" : "International recruitment, Client portfolio management, Talent solutions delivery", "majorSkillsList" : [ "International recruitment", "Client portfolio management", "Talent solutions delivery" ], "coreResponsibilities" : "Develop new business, Build client portfolio, Act as consultative partner, Headhunt technical candidates, Manage recruitment lifecycle, Execute market strategy, Build client relationships, Build candidate relationships", "teamCollaboration" : "Cross-border hiring teams; International client collaboration", "domainKnowledge" : "European Engineering markets; European Energy markets; Advanced Engineering; Renewable Energy", "domainList" : [ "european-engineering-markets", "european-energy-markets", "advanced-engineering", "renewable-energy" ], "domainSpecificKnowledge" : [ "European Engineering markets", "European Energy markets", "Advanced Engineering", "Renewable Energy" ], "continuousLearning" : "Structured training; Dedicated coaching support; Annual personal development allowance", "outcomesObjectives" : "Develop international desk; Grow European market desk; Deliver specialist talent solutions", "qualificationsBasic" : "12 months recruitment experience, 360 or sales-driven role experience", "qualificationsPreferred" : "International client engagement experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "360 Recruitment Consultant – Engineering & Energy (European Markets) We are expanding our consulting team at Amoria Bond and are looking to speak with experienced Recruitment Consultants who are ready to take ownership of a 360 role within our European Engineering and Renewable Energy markets. This is an opportunity to develop an international desk, working across established and emerging European markets within either Advanced Engineering or Energy. You will be building long-term client relationships, delivering specialist talent solutions, and operating in a highly consultative, high-performance environment. This role is suited to recruiters who are confident in business development and delivery, and who are motivated by international exposure, market growth, and strong earning potential. About the role This is a full 360 Recruitment Consultant position focused on developing and growing a European market desk. You will be responsible for building and managing your own client portfolio across Europe, acting as a trusted partner to clients and delivering tailored recruitment solutions within engineering and energy sectors. Your responsibilities will include: Developing new business across European engineering or energy markets Building and maintaining a specialist European client portfolio Acting as a consultative partner on cross-border hiring and workforce needs Headhunting and engaging specialist technical candidates Managing the full recruitment lifecycle from brief through to placement Developing and executing your own European market strategy Building long-term relationships with international clients and candidates Working across multiple European territories and industries About you We are looking for individuals who: Have at least 12 months recruitment experience in a 360 or sales-driven role Are confident in business development and international client engagement Take a consultative, relationship-led approach to recruitment Are commercially driven and motivated by performance and earnings Can build credibility with clients across different European markets Are interested in international recruitment and cross-border opportunities Want to develop a long-term career within Engineering or Energy sectors What we offer Competitive base salary with uncapped commission Strong earning potential with top consultants earning £200k+ Clear 10-step progression pathway from Consultant to Director Fast-track management opportunities within 12–24 months Structured training and development with dedicated coaching support International European market exposure and client base Opportunity to work across multiple countries and industries Hybrid working and flexible working arrangements Company car scheme including premium brands Monthly incentives, team socials and global company events Annual personal development allowance Comprehensive wellbeing and support package About Amoria Bond Amoria Bond is a global recruitment and consulting business operating across technology, engineering and energy sectors. We partner with organisations delivering complex, high-impact projects across international markets. Our European teams operate across multiple countries and sectors, offering consultants the opportunity to build truly international desks within a supportive, high-performance environment. Our purpose is Progressing Lives Everywhere. No terminology in this advert is intended to discriminate on the grounds of age or experience, and we confirm that we are happy to accept applications from persons of any age or experience for this role. IND123", "summaryDescription" : "360 Recruitment Consultant – Engineering & Energy (European Markets) at Amoria Group. Skills: International recruitment, Client portfolio management, Talent solutions delivery. Develop new business. Build client portfolio", "postedDate" : "2026-06-15T23:24:28.421", "createdAt" : "2026-06-15T23:24:28.421", "lastUpdated" : "2026-06-16T07:41:08.698", "ingestTimestamp" : "2026-06-15T23:24:28.421", "mongoId" : "6a305fd3f292fd229cf8139d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Recruitment lifecycle management", "International recruitment", "Client portfolio management", "Talent solutions delivery", "Business development", "Client engagement", "Relationship management", "European Engineering markets", "European Energy markets", "Advanced Engineering", "Renewable Energy" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307a67f292fd229c03b920", "title" : "Product Manager, Technical Platform Engineering", "company" : "PitchBook Data", "industry" : "Technology", "salary" : { "min" : 140000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, United States", "locations" : [ "Seattle", "Washington", "United States" ], "timestamp" : "2026-06-16T11:17:55.980", "fingerprint" : "14b6ac27d4f455d2014ab29dc4955cbfb4be64389cf872250cc40385911f8262", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/pitchbookdata/jobs/4688233006", "externalId" : "4688233006", "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", "experienceLevel" : "Manager", "technicalSkills" : "CI/CD, Cloud infrastructure, Observability", "professionalSkills" : [ "Product strategy", "Roadmap development", "Requirements prioritization", "Developer experience", "System design" ], "hardSkillsList" : [ "Platform reliability", "Developer lead time", "Deployment frequency", "Change failure rate", "Cloud unit economics" ], "hardSkills" : [ { "name" : "Platform reliability", "level" : "intermediate" }, { "name" : "Developer lead time", "level" : "intermediate" }, { "name" : "Deployment frequency", "level" : "intermediate" }, { "name" : "Change failure rate", "level" : "intermediate" }, { "name" : "Cloud unit economics", "level" : "intermediate" } ], "majorSkills" : "Platform Engineering, Product Management, AI Product Delivery", "majorSkillsList" : [ "Platform Engineering", "Product Management", "AI Product Delivery" ], "coreResponsibilities" : "Own product vision and roadmap, Partner with engineering managers, Translate strategy into requirements, Prioritize investments, Ensure platform compounds in value, Define product strategy, Frame ambiguous problems, Hold team accountable to outcomes, Own AI enabled product delivery experience, Scope AI powered features", "teamCollaboration" : "Cross-functional teams; Engineering managers; Staff engineers; ML Ops; Security; SRE; Legal", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Internal developer platforms; CI/CD; Cloud infrastructure; Observability; SDLC; AI product delivery", "domainList" : [ "internal-developer-platforms", "ci-cd", "cloud-infrastructure", "observability", "sdlc", "ai-product-delivery" ], "domainSpecificKnowledge" : [ "Internal developer platforms", "CI/CD", "Cloud infrastructure", "Observability", "SDLC", "AI product delivery" ], "continuousLearning" : "Learning programs; Mentorship opportunities; Training programs", "innovationCreativity" : "Innovate; Evolve; Find new solutions; Better ways of doing things; Take risks; Fail fast", "problemSolvingSkills" : "Problem solvers; Find better ways", "specialRequirements" : "Work in the United States, Limited corporate travel", "outcomesObjectives" : "Deepen positive impact; Achieve greatness; Drive innovation; Ensure platform compounds in value; Balance velocity, safety, and scale; Promote consistency, trust, and ease of adoption", "qualificationsBasic" : "5+ years experience, 5+ years product management experience, 5+ years technical platform engineering experience, Experience with AI enabled product delivery, Experience with ML Ops", "qualificationsPreferred" : "Experience with IDE, Experience with incident response, Experience with product discovery, Experience with release notes", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role: As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! As a Technical Product Manager, Platform Engineering at PitchBook, you will own the product strategy and roadmap for the foundational tools, services, and developer experiences that more than a hundred PitchBook engineers depend on every day. You will partner with the engineering managers and staff engineers who run the Platform Engineering teams to translate company-level objectives into a clear platform roadmap, prioritize the highest-leverage investments, and ensure the platform compounds in value over time. Your charter spans the surfaces that shape the Software Development Life Cycle (SDLC) — internal developer platforms, CI/CD, cloud infrastructure, observability, and the shared services that move developer lead time, deployment frequency, change failure rate, and platform reliability at the org level. You will operate as a force multiplier for Product, Engineering, Security, and SRE by defining clear product strategy, framing ambiguous problems into shippable initiatives, and holding the team accountable to measurable outcomes. You exhibit a growth mindset, willing to solicit feedback, engage others with empathy, and help create a culture of belonging, teamwork and purpose. If you love building the products that other builders depend on, strive for excellence every day, and believe the best platform PMs are also the best listeners, come join us! A defining theme of this role is the AI enabled product delivery experience. You own the product side strategy for how AI is woven through the tools used by engineers, product managers, designers, etc. across PitchBook's product delivery lifecycle — from the IDE to incident response, from product discovery to release notes — in partnership with ML Ops and the Platform Engineering team. Primary Job Responsibilities: Own the product vision and roadmap for the Platform Engineering domain, including internal developer platforms, CI/CD, cloud infrastructure, and developer tooling used by every product team at PitchBook Partner closely with Platform Engineering managers and staff engineers to translate strategy into requirements, priorities, and milestones, ensuring fast and reliable delivery Lead discovery efforts to understand the workflows of engineers, product managers, designers, and other roles in the product delivery lifecycle, translating pain points into high-impact product initiatives Define and operate the success metrics for the platform — developer lead time, deployment frequency, change failure rate, platform reliability, adoption, and cloud unit economics — and hold the org accountable to them Drive alignment across Engineering, Product, Security, SRE, Legal, and other stakeholders to balance velocity, safety, and scale Ensure successful experiments and prototypes are operationalized into reusable, production-grade platform capabilities and golden paths that promote consistency, trust, and ease of adoption Own the product side of the AI enabled product delivery experience. Scope and prioritize AI powered features and golden paths across the tooling used by every role in product delivery, in partnership with ML Ops and Platform Engineering Translate AI driven productivity opportunities into a credible roadmap with measurable outcomes across product delivery, such as adoption of AI capabilities by each role, lead time, review throughput, incident MTTR, and documentation freshness, rather than activity Communicate roadmap, tradeoffs, and progress clearly to engineering, product, and executive audiences; influence Director and VP-level decisions Champion responsible, secure, and scalable AI usage across the organization Support the vision and values of the company through role modeling and encouraging desired behaviors Participate in various company initiatives and projects as requested Skills and Qualifications: Bachelor's degree in Computer Science, Information Systems, or a similar field; or equivalent practical experience 3+ years of product management experience, with at least 2 years on technical platforms, developer tools, infrastructure, or internal products Strong technical acumen and the ability to engage credibly with platform engineers on complex systems — CI/CD pipelines, internal developer platforms, container orchestration (Kubernetes, Docker), infrastructure-as-code, and cloud infrastructure (AWS or GCP) Experience defining and reporting on developer productivity and platform effectiveness metrics (DORA, SPACE, or equivalent) Proven ability to operate in ambiguous problem spaces and translate them into clear product direction Experience prioritizing across competing initiatives using data, user input, and business context Excellent communication and stakeholder management skills, with the ability to influence Director level stakeholders across technical and non-technical audiences Hands-on familiarity with AI/ML systems, including Generative AI and LLM-based workflows; comfortable making build versus buy calls on AI tooling and reporting productivity impact. Working understanding of responsible AI patterns including cost, safety, data handling, and governance, sufficient to set product standards across teams Must be authorized to work in the United States without the need for visa sponsorship now or in the future Benefits + Compensation at PitchBook: Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company-wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend *Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation Annual base salary: $140,000-$175,000 Target annual bonus percentage: 10% Working Conditions: At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook. #LI-DK1 #LI-Onsite", "summaryDescription" : "Product Manager, Technical Platform Engineering at PitchBook Data. Skills: Platform Engineering, Product Management, AI Product Delivery. Own product vision and roadmap. 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Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana As the Senior Director of Platform Engineering, you will own the foundation that the entire Altana engineering organization builds on: the cloud infrastructure that runs our products and the developer experience that determines how fast and how safely we ship. You will lead a multidisciplinary organization spanning Cloud Engineering, Developer Experience, Site Reliability, and DevSecOps / Release Engineering — with end-to-end ownership of our build, test, and release pipelines. This is a moment of real transformation in how software is built. We are reorganizing our engineering practice around an AI-first, agent-first model, where AI coding harnesses and autonomous agents are first-class participants in the software development lifecycle. We are looking for a leader who has done this work before — someone who has built and scaled developer experience and platform organizations, and who has direct, hands-on experience and strong, well-formed opinions about agentic coding, AI-assisted development, and what it takes to make an engineering org dramatically more productive. You will set the technical strategy, build and develop the team, and personally raise the bar on engineering excellence. You will be measured by the reliability and cost-efficiency of our platforms, the velocity and happiness of every engineer who depends on them, and how effectively Altana adopts AI across the development lifecycle. Key areas under your stewardship Cloud Engineering: You will design, manage, and secure the multi-cloud infrastructure that powers our products — architectures that are scalable, flexible, resilient, and cost-performant across both commercial and government-compliant deployments. This includes the data platforms that support large-scale data processing, analytics, and machine learning, enabling our teams to work with world-scale datasets and build data-driven solutions. Developer Experience: You will own the infrastructure and tooling the engineering organization relies on every day — our monorepo, CI/CD platform, build systems, local development environments, and internal tooling — and the end-to-end experience of working in our codebase from clone to production. This is the center of gravity for the role: driving Developer Acceleration across the board and making AI-first, agent-first development the default way Altana engineers work. Site Reliability: You will ensure our systems are reliable, available, performant, and efficient. The SRE function establishes and monitors SLOs and error budgets, owns observability, drives toil reduction, and leads incident management so our services run smoothly and recover quickly from disruption. DevOps / Release Engineering: You will bridge development and operations, automating and optimizing the software delivery lifecycle from commit to deploy. Through robust CI/CD pipelines and infrastructure as code, your team ensures new features and updates ship rapidly, safely, and consistently. Your Responsibilities Technical Strategy conduct regular post-incident reviews and capacity planning to anticipate and mitigate risk before it reaches customers. Collaboration foster professional development, recognize outstanding performance, and address underperformance constructively and in a timely way. About You Experience building, leading, and scaling best-in-class platform and/or developer experience organizations, ideally in a rapidly scaling environment, including leading managers and senior engineers. 10+ years of real-world experience developing or managing complex engineering systems, with significant time spent owning developer experience, platform engineering, or the build/test/release pipeline end to end. A proven track record of driving developer experience and developer productivity across an organization — you can point to concrete before/after outcomes (build times, PR cycle time, deployment frequency, reliability) from initiatives you led. Direct, hands-on experience with AI-assisted and agentic development — AI coding harnesses, agent-first / AI-first workflows, and coding agents — and clear, well-formed opinions about how they change code review, testing, pipeline design, and engineering org structure. Deep expertise with CI/CD systems (Buildkite, GitHub Actions, GitLab CI, or similar) and a demonstrated ability to scale them, ideally in a monorepo at scale. Strong software engineering fundamentals — you design well-architected systems and lead from the front, not just from the org chart. Production experience with cloud platforms (AWS, Azure, or GCP), containerization and orchestration (Docker, Kubernetes), and infrastructure as code (Terraform / OpenTofu). A track record tackling large-scale infrastructure in support of fast-paced ML/AI-enabled products and services. Experience designing tooling and patterns that work across multiple clouds or isolated / air-gapped and compliance-constrained environments (FedRAMP, SOC 2, or similar) is a strong plus. Strong sense of shared ownership, a collaborative disposition, and excellent written and verbal communication skills. You don’t hesitate to go to the dentist during the work day, but you’re also the person on your laptop working on the team’s hardest problems to relax. This role can be fully remote or based in any of our US Altana hub locations, with hybrid work flexibility: Brooklyn, NY, Washington, DC, Boston, MA, or San Francisco, CA US Salary Range and Benefits $295,000 - $345,000 USD The salary range, to the extent specified for this role, is a good faith statement of the minimum and maximum levels of the annual based salary for the position. The base salary offered to a successful candidate will depend on a wide range of compensation factors, including, but not limited to, work experience, education and/or training, critical skills, and/or business considerations. Competitive equity grants are included in the majority of full time offers; and are considered part of Altana's total compensation package. Altana also offers either a discretionary bonus or a variable compensation plan depending on the role. Additionally, Altana offers top-tier benefits for full-time employees, including: Flexible Time Off: Altana operates with a Flexible Time Off (FTO) policy that gives you agency over your own time off so you can maximize your work-life balance. Parental Leave: We offer industry leading Paid Parental Leave (PPL), providing 14 weeks of leave for non-birthing, adoptive, and foster parents and up to 26 weeks of leave for birthing parents, all paid at 100% of your base salary. Health Benefits: We have a full suite of medical, vision, and dental benefits with generous employer contributions, designed to give you flexibility and choice for your individual health situation. Our high deductible health plan is 100% employer paid for employees and supplemented with an employer contribution to your Health Savings Account (HSA). There is also a Flexible Spending Account (FSA) option. Supplemental Benefits: Altana provides life, short- and long-term disability, and AD&D insurance coverage, all at no cost to you, so you know that you and your loved ones are covered in case of an emergency. 401(k) Savings: Save for and invest in your future using our Guideline 401(k) retirement savings program. Commuter Benefits: Save money on your commute by setting aside pre-tax funds for public transit or parking! Wellness: Because we value mental and emotional health, every Altana employee has access to a free premium subscription to Calm, the #1 app for meditation, sleep, and mindfulness. Pet Insurance: Pets are family too! Keep them healthy with Wishbone insurance and/or our Total Pet vet service and telehealth discount plan. Employee Assistance Program: Free access to confidential personal support. Dependent Care FSA: You will have access to a Dependent Care FSA, which allows you to set aside pre-tax funds for childcare expenses. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Our Values Our values are the core beliefs that shape who we are, what we stand for, and how we behave.They form the foundation of Altana’s culture and integrity and guide how we hire, design, build, and connect with each other and our customers. Trust: Our customers and partners entrust us with missions of the highest importance. We honor that by keeping our word, meeting commitments, and ensuring every action we take reinforces confidence in us. We rely on each other to deliver, to speak openly, and to hold ourselves accountable. Resilience: In a world of uncertainty and complexity, our work must withstand challenges, evolve with conditions, and ensure reliability over time. Resilience is both how we operate and what we deliver. It’s how we respond when things don’t go to plan –– we adapt, we support each other, and we keep moving forward. Stewardship: We are stewards of every mission we touch. Because our work impacts lives and futures, we hold ourselves accountable to delivering mission impact and never compromising. Our responsibility extends beyond individual projects to the broader system of global trade. We believe that stewardship starts from within so that we can bring focus, creativity, and excellence to our work. Each of us is personally responsible for fostering a workplace where people can thrive. And we are stewards of the greater good of the company. By holding ourselves and each other accountable, we build a culture of innovation and collective success that reflects the scale of our mission. Courage: Courage is what unlocks the seemingly impossible for our customers. It’s the core value that drives us make bold moves and take on big, complicated network problems—the ones others avoid. We know success isn't guaranteed, but we have the audacious vision to believe a solution is possible and to build it. Courage fuels our growth mindset. It means embracing challenges that make us stronger, and it’s demonstrated by how we approach hard conversations and complex projects. At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We’re proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation. Offers related to employment at Altana will come from an Altana.ai email address. 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"Director", "summaryDescription" : "Director of Research and Engineering, Health and Home", "postedDate" : "2026-06-16T01:50:04.497", "createdAt" : "2026-06-16T01:50:04.497", "lastUpdated" : "2026-06-16T14:40:16.845", "ingestTimestamp" : "2026-06-16T01:50:04.497", "mongoId" : "6a307f62f292fd229c058aac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca63774d8ee00a09ba22b", "title" : "Director, Backend Engineering", "company" : "Galaxy", "industry" : "FinTech", "salary" : { "min" : 275000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-16T03:36:47.035", "fingerprint" : "6b94a1eb904ec9b622d359dc01ca1be874a9bcc099e6025ca3b05fba68e5a8a5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/galaxydigitalservices/jobs/6022147004", "externalId" : "6022147004", "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", "experienceLevel" : "Director", "technicalSkills" : "Node, Express, TypeScript, Nest.js, SQL, NoSQL, Microservices, Event based architecture, AWS, Azure, GCP", "professionalSkills" : [ "System design", "API design" ], "hardSkillsList" : [ "Back-end development", "REST API development" ], "hardSkills" : [ { "name" : "Back-end development", "level" : "intermediate" }, { "name" : "REST API development", "level" : "intermediate" } ], "majorSkills" : "Back-end development, API development, System architecture", "majorSkillsList" : [ "Back-end development", "API development", "System architecture" ], "coreResponsibilities" : "Design back-end systems, Develop back-end systems, Maintain back-end systems, Design APIs, Develop APIs, Maintain APIs, Design databases, Develop databases, Maintain databases, Foster technical excellence, Foster collaboration, Foster continuous learning, Collaborate with front-end developers, Collaborate with product managers, Collaborate with DevOps teams, Architect scalable solutions, Architect secure solutions, Architect efficient solutions, Implement code quality best practices, Implement testing best practices, Implement deployment best practices, Conduct code reviews, Use automated testing frameworks, Stay current with technologies, Recommend innovative improvements, Adopt AI, Leverage AI tools", "teamCollaboration" : "Front-end developers; Product managers; DevOps teams", "domainKnowledge" : "Digital assets; Blockchain; Fintech; Crypto economy; Web3; AI; Data center infrastructure; High-performance computing", "domainList" : [ "digital-assets", "blockchain", "fintech", "crypto-economy", "web3", "ai", "data-center-infrastructure", "high-performance-computing" ], "domainSpecificKnowledge" : [ "Digital assets", "Blockchain", "Fintech", "Crypto economy", "Web3", "AI", "Data center infrastructure", "High-performance computing" ], "continuousLearning" : "Continuous learning", "innovationCreativity" : "Innovate in crypto economy", "qualificationsBasic" : "Bachelor's degree in computer science, 10+ years of experience in back-end development, 2 years in a senior role, Experience from a retail brokerage, Hands-on development experience in Node, Hands-on development experience in Express, Hands-on development experience in TypeScript, Experience with Nest.js, Experience with SQL, Experience with Microservices, Experience with Event based architecture, Familiarity with AWS, Familiarity with Azure, Familiarity with GCP", "qualificationsPreferred" : "Some exposure to NoSQL", "remoteFriendly" : true, "rawDescription" : "Who We Are: Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence. We believe that blockchain and digital asset innovation will transform how value moves through the world – and we’re building the products and services to make that future a reality. Our institutional digital assets platform spans trading, investment banking, asset management, staking, self-custody, and tokenization technology. We also invest in and operate cutting-edge data center infrastructure to power AI and high-performance computing, addressing the growing demand for scalable energy and compute in the U. S. We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz, our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI. Galaxy is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. To learn more about our businesses and products, visit www.galaxy.com. What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. About GalaxyOne GalaxyOne is designed for individual investors who want the best of both traditional and digital markets. Its core offerings include competitive yield on cash deposits for U.S.-based individual investors and 8.00% yield through Galaxy Premium Yield for U. S. accredited investors, as well as seamless access to crypto and equities trading and the ability to reinvest earned interest into bitcoin or other supported crypto, all in one precision-built platform. GalaxyOne, backed by Galaxy Digital Inc (NASDAQ/TSX: GLXY), benefits from the firm's proven financial expertise, risk management and white-glove client service. Additional information about GalaxyOne is available at galaxy.app and you can learn even more here: \"The Launch of GalaxyOne with Zac Prince\" and \"GalaxyOne on FOX Business.\" Who You Are: This role is a Senior Back End Developer for an exciting new business initiative at Galaxy. In this position, you’ll design, develop, and optimize robust, scalable software back end that powers our web and mobile applications for a new product offering. You will join a team of back-end developers, ensuring the reliability, security, and performance of our platforms while collaborating with front-end, product, and infrastructure teams. Your expertise will help drive the architecture of our product offerings, supporting Galaxy’s mission to innovate in the crypto economy. What You’ll Do: Design, develop, and maintain high-performance back-end systems, APIs, and databases that support the business’s web and mobile applications. Help foster a culture of technical excellence, collaboration, and continuous learning. Collaborate with front-end developers, product managers, and DevOps teams to ensure seamless integration and delivery of features and services. Architect scalable, secure, and efficient server-side solutions that meet fintech industry standards and handle high transaction volumes. Implement best practices for code quality, testing, and deployment, including code reviews and automated testing frameworks. Stay current with emerging technologies and trends in back-end development, blockchain, and fintech to recommend innovative improvements. Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes. Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work. What We’re Looking For: Bachelor’s degree in computer science, engineering, or a related field (or equivalent experience). 10+ years of experience in back-end development, with at least 2 years in a senior role. Must have experience from a retail brokerage. Hands-on development experience in Node, Express, TypeScript and related frameworks like Nest.js to build REST API's and other services. Strong experience with SQL and some exposure to NoSQL is nice to have. Experience with Microservices and Event based architecture. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes) Experience in using Caching and Messaging Queues like Kafka. Experience using Postman and Git / Bitbucket. Bonus Points: Prior experience working in a startup, taking a product from zero to one. What We Offer (US): Competitive base salary and discretionary bonus Flexible Time Off (i. e. unlimited paid vacation days) Company paid Holidays (11) Company paid sick leave Company-paid health and protective benefits for employees, partners, and other dependents 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Headspace Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $275,000—$300,000 USD Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.", "summaryDescription" : "Director, Backend Engineering at Galaxy. Skills: Back-end development, API development, System architecture. Design back-end systems. 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Example: Professional Engineer (PE or P.Eng) license. MS Office and MS Project experience is required (Access experience would be plus) Demonstrated leadership skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Texas-Round Rock", "summaryDescription" : "Power Distribution Engineering Manager/PM", "createdAt" : "2026-06-14T20:43:28.800", "lastUpdated" : "2026-06-16T05:26:16.980", "ingestTimestamp" : "2026-06-14T20:43:28.800", "mongoId" : "6a16291c58b93c861e959f8c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Leadership", "Project management", "Power Distribution", "Professional Engineer (PE or P. 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implementation, Deliver transformation programmes, Guide clients in developing Engineering blueprints, Guide clients in developing roadmaps, Manage full project lifecycle, Contribute to thought leadership, Inspire multidisciplinary engineering teams, Inspire multidisciplinary development teams, Coach multidisciplinary engineering teams, Coach multidisciplinary development teams, Develop multidisciplinary engineering teams, Develop multidisciplinary development teams, Shape strategy, Drive business development, Deliver complex transformation programmes, Own client relationships, Translate sector challenges into roadmaps, Take responsibility for P&L, Take responsibility for proposals, Take responsibility for programme delivery, Build multidisciplinary teams, Mentor multidisciplinary teams, Forge partnerships with providers, Ensure solutions meet governance standards, Ensure solutions meet privacy standards, Ensure solutions meet ethical standards, Represent practice through thought 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"api-management", "devops", "platform-engineering", "agentic-engineering", "responsible-ai" ], "domainSpecificKnowledge" : [ "Consumer Goods", "Retail", "Travel", "Services", "Hospitality", "Cloud-native architectures", "Microservices", "Serverless", "Kubernetes", "Data and AI platforms", "Real-time data streaming", "MLOps", "Generative AI", "Advanced analytics", "Integration", "APIs", "Event-driven architecture", "API management", "DevOps", "Platform engineering", "Agentic Engineering", "Responsible AI" ], "toolProficiency" : [ "Databricks", "Snowflake" ], "communicationSkills" : "Clear insights; Inspiring teams; Aligning stakeholders; Thought leadership; Industry engagement", "problemSolvingSkills" : "Simplify complex topics", "outcomesObjectives" : "Impactful engagements; Measurable business outcomes", "qualificationsBasic" : "10+ years experience, Shaping and delivering large-scale Engineering, Cloud, AI and Data transformation programmes end-to-end, Advising senior executives, Simplifying complex technical topics", "qualificationsPreferred" : "Chief lead architect or head of an IT department experience, Trusted advisor to C-level and C-1 stakeholders, Strategic partner", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Accelerate our growth in the Consumer (Consumer Goods and Retail) sector and contribute through your strategic vision, commercial drive and deep expertise in Engineering, AI and data-driven transformation. At Deloitte. * Lead strategic and commercial growth of Engineering and Data offerings within the Consumer, Retail and Travel/services/hospitality industry * Build and maintain strong CIO and Chief Architect relationships * Identify and shape opportunities, define proposals, and convert them into impactful engagements * Co-create technical architecture and guide development teams in implementation * Deliver transformation programmes focused on enterprise data platforms, AI, cloud, and emerging technologies * Guide clients in developing Engineering blueprints and roadmaps * Manage the full project lifecycle, from early visioning to implementation and adoption * Contribute to Deloitte’s thought leadership in the technology domain * Inspire, coach and develop multidisciplinary engineering and development teams ## Qualifications * 10+ years of experience as Chief lead architect or head of an IT department in a mid-size to large business * Proven track record in shaping and delivering large-scale Engineering, Cloud, AI and Data transformation programmes end-to-end * Acts as a trusted advisor to C-level and C-1 stakeholders, bridging business strategy and technology execution * Extensive experience advising senior executives and acting as a strategic partner * Deep passion for technology, combining broad knowledge with strong depth in key domains * Able to simplify complex technical topics into clear, actionable insights * In-depth experience with modern technology stacks such as: cloud platforms: AWS, Azure, GCP; cloud-native architectures such as microservices, serverless and Kubernetes * data and AI platforms: Databricks, Snowflake, real-time data streaming and MLOps * generative AI and advanced analytics: LLMs, prompt engineering, AI orchestration and responsible AI * integration and APIs: event-driven architecture and API management * DevOps and platform engineering: CI/CD, infrastructure as a code and observability * Agentic Engineering * Strong commercial mindset, with the ability to identify opportunities, shape value propositions and build long-term client relationships * Excellent communication and leadership skills, inspiring teams and aligning diverse stakeholders * Proven ability to navigate complex stakeholder environments across business and IT * Self-starter with the ability to build a business ## Additional Information As a Director within our Engineering, AI & Data practice, you will shape our strategy, driving business development, and delivering complex transformation programmes.You own client relationships at C‑suite level, translate sector challenges into pragmatic roadmaps, and take responsibility for P&L, proposals and successful programme delivery. You build and mentor multidisciplinary teams, forge partnerships with technology and ecosystem providers, and ensure solutions meet governance, privacy and ethical standards. Externally you represent the practice through thought leadership and industry engagement, turning insight into measurable business outcomes that reshape customer experience, operations and monetisation.", "summaryDescription" : "Director Engineering, AI & Data at Deloitte. Skills: Engineering, AI, Data, Cloud, Transformation. Lead strategic and commercial growth. Build and maintain CIO relationships", "postedDate" : "2026-06-15T14:39:02.000", "createdAt" : "2026-06-16T00:04:46.141", "lastUpdated" : "2026-06-16T09:38:52.329", "ingestTimestamp" : "2026-06-16T00:04:46.141", "mongoId" : "6a306b15f292fd229cfcf414", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data transformation", "AI transformation", "Cloud transformation", "Data platforms", "Enterprise data platforms", "Emerging technologies", "Engineering blueprints", "Roadmaps", "Project lifecycle management", "Technology domain", "Multidisciplinary teams", "Development teams", "Generative AI", "Advanced analytics", "AI orchestration", "Platform engineering", "Leadership", "Mentoring", "Engineering", "AI", "Data", "Cloud", "Transformation", "Strategic vision", "Commercial drive", "Technical architecture", "Value propositions", "Client relationships", "Business development", "Programme delivery", "P&L responsibility", "Consumer Goods", "Retail", "Travel", "Services", "Hospitality", "Cloud-native architectures", "Microservices", "Serverless", "Kubernetes", "Data and AI platforms", "Real-time data streaming", "MLOps", "Integration", "APIs", "Event-driven architecture", "API management", "DevOps", "Agentic Engineering", "Responsible AI", "Databricks", "Snowflake" ], "skillCount" : 52, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6c6d74d8ee00a0918b19", "title" : "Director, Data Engineering", "company" : "Hanwha Energy USA", "salary" : { "min" : 220000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Houston, Texas, United States", "locations" : [ "Houston", "Texas", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T03:08:14.887", "fingerprint" : "13b87651061f675b1539fd42930ce6e46feb1f95150342d66d0d63f8ca4f3911", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hanwhaenergyusa/jobs/4224617009", "externalId" : "4224617009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "System design", "Data architecture" ], "hardSkillsList" : [ "Data warehousing", "ETL development", "Data pipeline orchestration", "Machine learning implementation", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Data pipeline orchestration", "level" : "intermediate" }, { "name" : "Machine learning implementation", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Machine Learning, Business Intelligence, Analytics Engineering", "majorSkillsList" : [ "Data Engineering", "Machine Learning", "Business Intelligence", "Analytics Engineering" ], "coreResponsibilities" : "Design data pipelines, Build data models, Develop ETL processes, Implement data warehousing solutions, Deploy machine learning models, Optimize data infrastructure, Ensure data quality, Collaborate with stakeholders, Mentor junior engineers", "teamCollaboration" : "Cross-functional teams; Data scientists; Analysts; Product managers", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Bachelor's degree in Computer Science, Engineering, or related field", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified Associate, Dbt Certified Associate", "remoteFriendly" : false, "rawDescription" : "COMPANY OVERVIEW Hanwha Energy USA, headquartered in Houston, Texas, is part of the Hanwha Group—a FORTUNE Global 300 company and one of South Korea’s most respected business enterprises. With over a decade of experience delivering high-quality, utility-scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider. Our portfolio now spans utility-scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America’s growing data center industry. Our expertise covers the entire energy value chain—from project development and engineering to construction, operations, and maintenance. By integrating advanced technologies, proven processes, and strong partnerships, we deliver reliable, customized solutions that meet the dynamic needs of local energy markets. Hanwha Energy USA is actively advancing strategic initiatives in natural gas generation and data center development, including hyperscaler solutions on both sides of the meter. We are proud to serve as the parent company of: Hanwha Renewables – specializing in utility-scale solar and battery energy storage systems (BESS) Chariot Energy – providing retail electricity services for residential, commercial, and industrial customers in deregulated markets POSITION OVERVIEW We are seeking a Director of Data Engineering to lead the strategy, architecture, and delivery of a modern enterprise data platform. This leader will own and actively contribute to the enterprise data strategy and backlog, ensuring that data engineering, reporting, and analytics are coordinated under strong technical leadership and built on a governed, reliable, and scalable foundation. This is a hands-on leadership role for a player-coach who can operate at both the strategic and technical levels. The ideal candidate will go well beyond traditional SQL Server administration and reporting support. This person will help modernize our data environment by introducing the right technologies, patterns, and operating discipline across areas such as cloud data platforms, data lakes, streaming/event-driven data, data quality, lineage, semantic modeling, and AI-ready data architecture. This role is critical to ensuring that AI solutions, business reporting, and operational decision-making are powered by trusted, well-managed data with measurable business impact. The employee may be required to perform other job-related duties as requested by management. All duties will be assigned in accordance with applicable laws and company policies. RESPONSIBILITIES Own and actively contribute to the enterprise data strategy and roadmap. Define and prioritize the data engineering backlog, balancing foundational work, new business needs, AI enablement, reporting, and technical debt reduction. Design and oversee key data models, pipelines, integration patterns, and analytics platforms that support AI, BI, operational reporting, and decision-making. Lead data engineering and reporting teams including full-time employees, contractors, and vendors. Stay close to the work by reviewing pipeline designs, resolving complex data issues, and guiding architecture and implementation decisions. Establish practical standards for data quality, lineage, documentation, observability, governance, and operational support. Drive the evolution of the company’s data environment beyond basic SQL Server patterns into modern capabilities such as: cloud-based data platforms data lakes / lakehouse architectures streaming and near-real-time data pipelines scalable ELT/ETL frameworks governed semantic and analytics layers Partner with business stakeholders, application development teams, AI engineers, analysts, and leadership to ensure data platforms meet current and future needs. Ensure data structures and delivery patterns support both business intelligence and AI use cases, including trusted source data, feature-ready datasets, retrieval-ready content, and performance-optimized views. Evaluate and introduce appropriate new technologies, tools, and design patterns that improve scalability, maintainability, speed, governance, and cost efficiency. Oversee data integration across enterprise systems such as ERP, CRM, project platforms, contract repositories, ticketing systems, and internally developed applications. Collaborate with infrastructure, security, and application teams to ensure data solutions align with enterprise architecture, security controls, identity standards, and cloud strategy. Build strong operating rhythms around prioritization, delivery, quality review, issue resolution, and stakeholder communication. Mentor senior engineers and analysts while raising the technical maturity of the broader team. REQUIRED QUALIFICATIONS Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field. Equivalent experience may be considered. 15+ years of progressive experience in data engineering, analytics engineering, data architecture, or enterprise data platform development. 5+ years of leadership experience managing technical data teams. Proven experience designing and delivering modern data pipelines and analytics platforms in a business environment with multiple stakeholders. Strong experience with SQL and relational data platforms, but also a demonstrated ability to move beyond legacy-only approaches into modern data architecture. Experience with cloud data platforms, data lakes, and scalable data pipeline design. Experience with streaming, event-driven, or near-real-time data integration patterns. Experience establishing standards for data quality, lineage, documentation, and governance. Strong understanding of how data platforms support BI, reporting, analytics, and AI use cases. Experience leading a mix of full-time employees, contractors, and/or vendor resources. Ability to work in the details while also setting strategic direction. Preferred Qualifications Experience with Azure-based data services and modern cloud-native data patterns. Experience with lakehouse or data lake architectures. Experience with streaming technologies and message/event-based integration patterns. Experience supporting AI and machine learning use cases with well-structured, governed data. Experience with semantic models, dimensional modeling, and performance optimization for analytics. Experience in operationally complex or multi-entity environments. Experience modernizing legacy reporting/data stacks into more scalable enterprise platforms. Technical Environment The ideal candidate should be comfortable working across a modern enterprise data environment that may include: SQL Server and relational platforms Azure data services and cloud-native data tooling Data lakes / lakehouse patterns Streaming or event-driven data architectures ETL / ELT orchestration frameworks Data modeling for analytics and operational reporting Data quality, lineage, cataloging, and documentation Integration with ERP, CRM, project systems, contract repositories, and custom applications AI and BI data enablement Leadership Profile Successful candidates will bring: Player-coach leadership style Strong technical credibility Comfort reviewing design details and guiding implementation A modernization mindset Strong architecture judgment A practical approach to governance and standards The ability to bridge engineering, analytics, and business needs A bias toward measurable business outcomes, not just technical elegance What Success Looks Like In this role, success means: A clear and executable enterprise data strategy is in place Data engineering and reporting teams are aligned under strong technical leadership Trusted, governed data pipelines and models support AI, BI, and decision-making The organization begins adopting modern data platform capabilities beyond traditional SQL-only patterns Data quality, lineage, and documentation improve materially Business users gain more confidence in reporting and analytics Data investments show measurable impact on speed, insight, governance, and scalability COMPENSATION: $220,000 - $250,000 salary Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates. Hanwha Energy USA provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. www.hanwhaenergyusa.com", "summaryDescription" : "Director, Data Engineering at Hanwha Energy USA. Skills: Data Engineering, Machine Learning, Business Intelligence, Analytics Engineering. Design data pipelines. Build data models", "postedDate" : "2026-06-14T19:59:30.134", "createdAt" : "2026-06-14T19:59:30.134", "lastUpdated" : "2026-06-16T03:08:14.887", "ingestTimestamp" : "2026-06-14T19:59:30.134", "mongoId" : "6a2c6c6d74d8ee00a0918b19", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 250000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL development", "Data pipeline orchestration", "Machine learning implementation", "Statistical analysis", "A/B testing", "Causal inference", "Data Engineering", "Machine Learning", "Business Intelligence", "Analytics Engineering", "Data modeling", "System design", "Data architecture", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.98 }, { "id" : "69eb289b2beec4dd3dae5147", "title" : "Engineering Project Manager, Global Engineering Services", "company" : "Amazon UK Services Ltd.", "industry" : "Project/Program/Product Management--Non-Tech, Ops Engineering, operations", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager level Engineering Project Manager in London, UK, adjusted for company size and industry." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-16T02:26:19.391", "fingerprint" : "644f0c4dee355224b0f765caccea25737ea9d9d259fa69476b81312e21a34d9b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387289/apply", "externalId" : "58f50418-810d-4662-9fed-2b1ceb1e1d07", "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", "experienceLevel" : "Manager", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Amazon is seeking an experienced and business oriented Engineering Project Manager to coordinate the planning, design and execution efforts of highly complex logistic process solutions for the continued expansion of our EU Customer Fulfilment network. Ideal candidates will have Engineering Program and Project Management experience combined with an established technical problem solving ability as well as Value Engineering experience. The role will understand all aspects of an Amazon Fulfilment Center while focusing on its automation technologies (conveyance, sortation, robotics) and storage solutions. This person will be responsible for planning, designing and delivering state-of-the-art material handling systems and innovations while coordinating internal teams and external vendors in order to effectively execute Retrofits, Initiatives and Expansions (REIs) in existing sites. Would you like an opportunity to travel and work in multiple countries and cultures? The role will be based in UK with 50% of time traveling either domestically or to other EU countries. Key job responsibilities - End-to-end ownership for small to medium scale engineering projects (planning, design, installation, commissioning and qualification, launch support) - Dive deep on technical details and provide value engineering and innovative solutions to drive frugality and continuous improvements - Lead technical design reviews and propose design solutions for material handling and storage solutions that meet both business needs and global design standards - Create, submit and track relevant CAPEX requests (Capital Planning) to ensure that all projects are delivered within budget and best overall value - Assess and communicate project status, drive escalations on potential risks and delays across multiple teams - Assist in providing equipment specifications and technical support to Procurement, Change Management and other business partners for best value and competition - Collaborate closely with various internal teams such as World Wide Engineering, Construction, Operations, Reliability Maintenance Engineering, Procurement and Change Management - Support standardisation, qualification and launch of external fulfilment sites, while closely collaborating with External Fulfilment (EF) business partners. A day in the life You will work on the delivery of one of our Amazon Fulfillment Centers with a project lifecyle of about a year as part of a high-performing team. During the early project phases of project design and bidding, you will predominantly work in an Amazon office or from your home. During the project execution, you will be typically spend execution 50% of your time at the project site, with peaks throughout the year, extending to most week days with full ownership during the last phases of project installation, Commissioning & Qualification and post Launch ramp up. You will enjoy the rewarding experience to launch an Amazon Fulfillment Center or to upgrade an existing one. After initial months onboarding, you will be progressively given important and extending responsibilities, within the project and aside it, by taking the lead on other business horizontal tasks. You will be constantly helped by the team, will respect and leverage diverse point of views and focus on inclusion of new members. About the team Operations Engineering drives Amazon's Global Engineering Services—a high-performing community across EMEA, Latin America, India, and APAC transforming logistics. We design and deliver Material Handling Equipment, storage solutions, and modular automation from concept to reality. Partnering with stakeholders, vendors, and site teams globally, we own the complete journey from scoping through delivery for new builds and existing facilities. Guided by Amazon's 16 Leadership Principles, we build the future with bold vision and customer obsession. Join us to tackle complex engineering challenges impacting millions daily, collaborate with talented professionals across continents, and bring technical expertise to life in Amazon's most ambitious projects. Basic Qualifications: - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership - Bachelor's or Master's degree in Engineering (Mechanical, Electrical, Industrial, Civil, or related field), or country equivalent - Demonstrated experience managing construction or engineering projects in an industrial or logistics environment - Proven ability to manage project budgets, schedules, and external contractors - Proficiency in MS Excel, MS Project (or equivalent), and CAD/BIM tools - Demonstrated ability to lead cross-functional teams and manage competing priorities Preferred Qualifications: - Experience with automated material handling systems (MHE), warehouse automation, conveyance, sortation, or robotics - Familiarity with CAPEX management and greenfield/brownfield project delivery - Six Sigma certification or equivalent process improvement qualification - APM, PMP, or equivalent project management certification - French, German, Polish, Arabic, Portuguese, Turkish, Chinese (Mandarin), Afrikaans and Zulu are considered preferred qualifications. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. 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.", "summaryDescription" : "Engineering Project Manager, Global Engineering Services at Amazon UK Services Ltd.", "postedDate" : "2026-06-14T20:10:57.317", "createdAt" : "2026-06-14T20:10:57.317", "lastUpdated" : "2026-06-16T02:26:19.391", "ingestTimestamp" : "2026-06-14T20:10:57.317", "mongoId" : "69eb289b2beec4dd3dae5147", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10387289/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307110f292fd229cff7b11", "title" : "Director of Software Engineering", "company" : "Renesas Electronics", "industry" : "Semiconductors", "salary" : { "min" : 4500000.0, "max" : 7500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Software Engineering in Hyderabad, India, adjusted for seniority, company size, and industry." }, "location" : "Hyderabad, IN", "locations" : [ "Hyderabad", "IN" ], "timestamp" : "2026-06-16T10:09:03.585", "fingerprint" : "bb623768ee3951198481b17484779c1f5dcb7a96c0d2eafe94f3166722ac457e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/RenesasElectronics/744000132169530-director-of-software-engineering-ai-ml-", "externalId" : "744000132169530", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 15, "experienceLevel" : "director", "technicalSkills" : "Python, Java, C++, Go, JavaScript, React, Angular, Node.js, SQL, NoSQL, AWS, Azure, GCP, Docker, Kubernetes, Terraform, Ansible, CI/CD, Microservices, REST APIs, GraphQL, Machine Learning, Data Engineering, Cybersecurity", "professionalSkills" : [ "System design", "Architecture design", "Team leadership", "Mentoring junior engineers", "Strategic planning", "Budget management", "Vendor management", "Cross-functional collaboration" ], "hardSkillsList" : [ "Software architecture", "Cloud infrastructure", "DevOps practices", "Agile methodologies", "Test automation", "Performance tuning", "Security protocols" ], "hardSkills" : [ { "name" : "Software architecture", "level" : "intermediate" }, { "name" : "Cloud infrastructure", "level" : "intermediate" }, { "name" : "DevOps practices", "level" : "intermediate" }, { "name" : "Agile methodologies", "level" : "intermediate" }, { "name" : "Test automation", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Security protocols", "level" : "intermediate" } ], "majorSkills" : "Software Engineering Leadership, Cloud Architecture, DevOps, AI/ML Integration", "majorSkillsList" : [ "Software Engineering Leadership", "Cloud Architecture", "DevOps", "AI/ML Integration" ], "coreResponsibilities" : "Lead and manage software engineering teams, Oversee the design, development, and deployment of software, Define and implement engineering best practices, Drive technical strategy and roadmap, Ensure scalability, reliability, and security of systems, Mentor and develop engineering talent, Collaborate with product management and other stakeholders, Manage project timelines and resources, Foster a culture of innovation and continuous improvement, Oversee cloud infrastructure and DevOps practices, Guide the integration of AI/ML technologies, Ensure adherence to cybersecurity best practices", "teamCollaboration" : "Cross-functional teams; Product management; Stakeholder alignment; Engineering leadership", "projectManagementSkills" : [ "Agile methodologies", "Scrum", "Roadmap planning", "Resource allocation", "Risk management" ], "domainKnowledge" : "Cloud-native architecture; Distributed systems; Microservices architecture; CI/CD principles; AI/ML concepts; Data pipelines; Cybersecurity principles", "domainList" : [ "cloud-native-architecture", "distributed-systems", "microservices-architecture", "ci-cd-principles", "ai-ml-concepts", "data-pipelines", "cybersecurity-principles" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Distributed systems", "Microservices architecture", "CI/CD principles", "AI/ML concepts", "Data pipelines", "Cybersecurity principles" ], "toolProficiency" : [ "Git", "JIRA", "Jenkins", "Docker", "Kubernetes", "Terraform", "Ansible", "AWS services", "Azure services", "GCP services" ], "communicationSkills" : "Technical presentations; Cross-functional communication; Executive reporting", "documentationSkills" : "Technical documentation; Architecture diagrams; API specifications", "continuousLearning" : "Professional development; Mentorship programs; Industry conferences", "innovationCreativity" : "R&D initiatives; Exploring new technologies; Process improvement", "problemSolvingSkills" : "Root cause analysis; System troubleshooting; Performance optimization; Complex problem solving", "outcomesObjectives" : "Deliver high-quality software on time; Improve system performance and reliability; Enhance team productivity and efficiency; Drive technical innovation; Ensure successful product launches", "qualificationsBasic" : "5+ years of experience in software engineering, 3+ years of experience in a leadership role, Bachelor's degree in Computer Science or related field, Experience with cloud platforms (AWS, Azure, GCP), Experience with CI/CD pipelines, Experience with containerization technologies (Docker, Kubernetes)", "qualificationsPreferred" : "Master's degree in Computer Science or related field, Experience with AI/ML technologies, Experience with data engineering tools and platforms, Experience with cybersecurity best practices", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world-leading MCUs, SoCs, analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you. Renesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world. In this role, you will lead the definition and execution of AI/ML-driven initiatives, drive adoption of ML/AI across frontend and backend design and development flows across the company, enable next-generation intelligent design automation capabilities, and collaborate with cross-functional leaders to integrate AI into engineering productivity, automation, and decision-making processes. Job Responsibilities * Define and own the AI/ML strategy for Engineering group’s software and design flows * Lead the transformation of semiconductor design workflows by deploying AI-driven (agentic) solutions across Frontend (modelling, synthesis, optimization) and Backend (place-and-route, timing closure, physical optimization) * Drive end-to-end integration of AI into engineering toolchains * Establish scalable frameworks for: * Data collection, labelling, and pipeline management * Model training/fine tuning, validation, and deployment * Lead cross-functional collaboration with: * EDA, design, architecture, and platform teams * External vendors and partners as needed * Build and grow a high-performance engineering team * Define KPIs to measure productivity gains, quality improvements, and ROI from AI initiatives * Ensure alignment with enterprise AI programs and governance frameworks * Drive continuous innovation and adoption of emerging AI/ML technologies in semiconductor workflows ## Qualifications * MTech/BTech in EE/CS with 20+ years of software development experience and 10+ years of engineering management experience (including leading managers or large teams) * 7+ years in semiconductor and/or EDA industry * Proven experience in Applying ML/AI to real-world engineering or automation problems * Proven experience building and scaling AI/ML platforms leveraging technologies such as LangChain, vector databases, and RAG-based architectures * Deep understanding of LLM ecosystems, including embeddings, knowledge retrieval, and integration of AI agents into production workflows * Strong understanding of software architecture, distributed systems, Data pipelines and ML workflows * Demonstrated ability to Lead cross-functional initiatives and translate business/engineering needs into technical solutions * Should have exposure to quality processes for project execution, delivery, and working with multiple teams across geos * Strong communication skills for executive-level engagement * Preferred Hands-on experience with EDA tools, chip design flows, or semiconductor development lifecycle * Prior Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or similar) is a plus * Prior experience building AI-driven solutions for Design optimization and Automation/ productivity improvement is preferred * Familiarity with Cloud platforms and scalable compute infrastructure and Data-driven decision systems is preferred ## Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’ At Renesas, you can: * Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things. * Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. * Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day. Are you ready to own your success and make your mark? Join Renesas. Let’s Shape the Future together. Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our [Diversity & Inclusion Statement](https://jobs.renesas.com/diversity-and-inclusion).", "summaryDescription" : "Director of Software Engineering at Renesas Electronics. Skills: Software Engineering Leadership, Cloud Architecture, DevOps, AI/ML Integration. Lead and manage software engineering teams. Oversee the design, development, and deployment of software", "postedDate" : "2026-06-15T10:58:37.000", "createdAt" : "2026-06-16T01:31:31.893", "lastUpdated" : "2026-06-16T10:09:03.585", "ingestTimestamp" : "2026-06-16T01:31:31.893", "mongoId" : "6a307110f292fd229cff7b11", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software architecture", "Cloud infrastructure", "DevOps practices", "Agile methodologies", "Test automation", "Performance tuning", "Security protocols", "Software Engineering Leadership", "Cloud Architecture", "DevOps", "AI/ML Integration", "System design", "Architecture design", "Team leadership", "Mentoring junior engineers", "Strategic planning", "Budget management", "Vendor management", "Cross-functional collaboration", "Scrum", "Roadmap planning", "Resource allocation", "Risk management", "Cloud-native architecture", "Distributed systems", "Microservices architecture", "CI/CD principles", "AI/ML concepts", "Data pipelines", "Cybersecurity principles", "Git", "JIRA", "Jenkins", "Docker", "Kubernetes", "Terraform", "Ansible", "AWS services", "Azure services", "GCP services" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca51674d8ee00a09b49e8", "title" : "Director of Engineering", "company" : "Renaissance Learning EMEA APAC", "industry" : "Education", "salary" : { "min" : 120000.0, "max" : 175000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Engineering in Houghton-Le-Spring, United Kingdom, adjusted for seniority, company size, and industry." }, "location" : "Houghton-Le-Spring", "locations" : [ "Houghton-Le-Spring" ], "timestamp" : "2026-06-16T02:01:48.856", "fingerprint" : "6eb24d0cfef3e1f65d5b22bccef130b1f6f244d665e689be6d9a3c99f0aa7e9e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/renaissancelearning-emea/jobs/5240079008", "externalId" : "5240079008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houghton-Le-Spring", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "54.8406536,-1.4699279" } ], "locationText" : "Houghton-Le-Spring, United Kingdom", "experienceLevel" : "Director", "technicalSkills" : "AI, DevOps, Automation", "professionalSkills" : [ "Workforce planning", "Budget management", "Resource allocation", "Stakeholder management" ], "hardSkillsList" : [ "Test automation", "Quality governance", "CI/CD", "Operational reliability" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Test automation", "level" : "intermediate" }, { "name" : "Quality governance", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Operational reliability", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Engineering leadership, Team development, Delivery excellence", "majorSkillsList" : [ "Engineering leadership", "Team development", "Delivery excellence" ], "coreResponsibilities" : "Lead and coach engineering teams, Foster psychological safety, Manage career development, Manage succession planning, Manage talent retention, Manage workforce planning, Manage organisational design, Manage capability development, Manage budget planning, Manage forecasting, Manage operational expenditure, Optimise engineering efficiency, Ensure predictable delivery, Ensure high-quality delivery, Establish effective processes, Remove blockers, Balance delivery pace, Partner with Product, Partner with Architecture, Partner with business stakeholders, Work closely with technology teams, Coordinate across Infrastructure, Coordinate across Security, Coordinate across Data, Coordinate across QA, Support global platform initiatives, Support localisation efforts, Establish engineering standards, Establish metrics, Drive adoption of modern practices, Promote operational excellence, Promote service ownership", "teamCollaboration" : "Cross-functional delivery teams; International technology teams; Infrastructure teams; Security teams; Data teams; QA teams", "projectManagementSkills" : [ "Agile", "Product-led" ], "domainKnowledge" : "AI-enabled engineering; Platform-centric operating model", "domainList" : [ "ai-enabled-engineering", "platform-centric-operating-model" ], "domainSpecificKnowledge" : [ "AI-enabled engineering", "Platform-centric operating model" ], "communicationSkills" : "Stakeholder management; Communication skills", "continuousLearning" : "Continuous learning", "specialRequirements" : "Travel to other offices, DBS checks, Background checks, Full work permit required", "outcomesObjectives" : "Deliver scalable products; Deliver high-quality products; Align with strategic priorities", "qualificationsBasic" : "Proven experience leading engineering organisations, Managing engineering/QA leaders, Experience with workforce planning, Budget management, Resource allocation, Success delivering complex software products, Experience with modern QA practices, Test automation, Quality governance, Understanding of DevOps, CI/CD, Operational reliability, Excellent stakeholder management, Communication skills, Experience with international, distributed teams, Organisational transformation", "qualificationsPreferred" : "AI-enabled engineering adoption, Automation adoption", "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Us Renaissance® is a global leader in education technology. We help schools and school groups in the UK and around the world with educational assessments, practice and intervention solutions, and data analytics. Renaissance now incorporates GL Assessment (known internationally as GL Education), too – a leading provider of educational assessments. Together, our assessments offer the ideal starting point to help teachers understand their students’ strengths and pinpoint areas of need. Our teaching and learning tools then provide effective next steps, with online literacy and maths solutions that meet students exactly where we are. Worldwide, we support over 18 million students, operating in over 100 countries. We're looking for a Director of Engineering to lead our cross-functional delivery teams as we evolve toward an AI-enabled, platform-centric operating model serving international markets. You'll drive engineering excellence across our organisation, leading Engineering Managers, our QA Testing Manager, and multiple delivery teams to deliver scalable, high-quality products aligned with strategic priorities. What you'll be getting up to with us: Lead & Develop Teams Build and coach high-performing engineering and QA teams in an inclusive, collaborative environment Drive career development, succession planning, and talent retention Foster psychological safety, ownership, and continuous learning Manage Resources & Budget Own workforce planning, organisational design, and capability development Manage budget planning, forecasting, and operational expenditure Optimise engineering efficiency while maintaining quality and team wellbeing Drive Delivery Excellence Ensure predictable, high-quality delivery across multiple teams Establish effective processes and remove blockers Balance delivery pace with quality, security, and maintainability Partner with Product, Architecture, and business stakeholders Enable Collaboration Work closely with US-based and international technology teams Coordinate across Infrastructure, Security, Data, and QA functions Support global platform initiatives and localisation efforts Continuous Improvement Establish engineering standards and metrics Drive adoption of modern practices including AI-enabled engineering, DevOps, and automation Promote operational excellence and service ownership Experience we’d love to see includes: Proven experience leading engineering organisations and managing engineering/QA leaders Strong track record building high-performing, diverse teams Experience with workforce planning, budget management, and resource allocation Success delivering complex software products in agile/product-led environments Experience with modern QA practices, test automation, and quality governance Understanding of DevOps, CI/CD, and operational reliability Excellent stakeholder management and communication skills Experience with international, distributed teams and organisational transformation \uD83C\uDFE2Additional information: \uD83D\uDCCDThis is role is a Hybrid role based out of our Houghton Le Spring office – the team come together a couple of times a week. There may be travel to other offices on occasion. Please note: Applications will be reviewed from week commencing 22nd June. \uD83C\uDF81Benefits: 25 Days holiday a year plus Bank Holidays (3 to be used for our Christmas shutdown) A day off for your birthday to celebrate in style! Workplace Nursery scheme 5 volunteering days a year to use for the causes of your choice Access to a benefits and discount platform with access to 1000’s of discounts at retailers, leisure attractions and restaurants BUPA Healthcare, Life assurance, Permanent health insurance Pension scheme with enhanced employer contribution – up to 8% Season ticket loan and EAP Unfortunately we are unable to offer sponsorship for this role. We have an ongoing commitment to Diversity, Equity and Inclusion and have taken strides to become a more welcoming and inclusive workplace, including the introduction of our DEI Matters Network which is owned and driven by our staff. We are an equal opportunities employer. We encourage and welcome applications from all underrepresented groups, as we believe and strive for community representation within our organisation. If you have a disability and would prefer to apply in a different format or would like us to make reasonable adjustments to enable you to apply or attend any interview, please contact us and we will talk this through with you. All your information will be kept confidential according to GDPR guidelines. Please note that we can only consider applicants who already hold a full work permit. This role is subject to DBS and background checks.", "summaryDescription" : "Director of Engineering at Renaissance Learning EMEA APAC. Skills: Engineering leadership, Team development, Delivery excellence. Lead and coach engineering teams. Foster psychological safety", "postedDate" : "2026-06-14T20:15:13.107", "createdAt" : "2026-06-14T20:15:13.107", "lastUpdated" : "2026-06-16T02:01:48.856", "ingestTimestamp" : "2026-06-14T20:15:13.107", "mongoId" : "6a2ca51674d8ee00a09b49e8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Test automation", "Quality governance", "CI/CD", "Operational reliability", "Leadership", "Mentoring", "Engineering leadership", "Team development", "Delivery excellence", "Workforce planning", "Budget management", "Resource allocation", "Stakeholder management", "Agile", "Product-led", "AI-enabled engineering", "Platform-centric operating model" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6a8f74d8ee00a090c9ce", "title" : "Sr Director, Data and Application Engineering", "company" : "ABACUS", "industry" : "Technology", "salary" : { "min" : 245000.0, "max" : 375000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Sr Director, Data and Application Engineering in the Technology industry in the United States, adjusted for seniority and remote work." }, "location" : "Remote in US", "locations" : [ "Remote in US" ], "timestamp" : "2026-06-15T21:47:59.306", "fingerprint" : "7470b233e5544201af654abb5b65c275bc32fcf3e35253199982be98ed3b7f16", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://abacustechnology.com/about/careers/current-vacancies/?gh_jid=7726360003", "externalId" : "7726360003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "AI/ML, Data platform, DevOps, Application Development, CI/CD, Automation tooling, ServiceNow development, ServiceNow configuration, AI-powered tools, AI agents", "professionalSkills" : [ "Strategic leadership", "Execution focus", "Technical strategy", "Stakeholder management", "Organizational design", "Team development", "Cross-functional collaboration", "Executive communication" ], "hardSkillsList" : [ "Metrics definition", "KPI tracking", "Risk reporting", "Outcome reporting", "Governance standards", "Compliance standards", "Security standards" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "KPI tracking", "level" : "intermediate" }, { "name" : "Risk reporting", "level" : "intermediate" }, { "name" : "Outcome reporting", "level" : "intermediate" }, { "name" : "Governance standards", "level" : "intermediate" }, { "name" : "Compliance standards", "level" : "intermediate" }, { "name" : "Security standards", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, Application Development, DevOps, AI Development", "majorSkillsList" : [ "Data Engineering", "Application Development", "DevOps", "AI Development" ], "coreResponsibilities" : "Lead technical teams, Drive engineering initiatives, Oversee practice areas, Align teams to goals, Ensure rigorous practices, Ensure velocity, Ensure collaboration, Build enterprise-grade platforms, Build enterprise-grade solutions, Support career development, Define KPIs, Track KPIs, Report progress, Report risks, Report outcomes, Ensure practices meet governance, Ensure practices meet compliance, Ensure practices meet security, Architect enterprise data platform, Resource enterprise data platform, Deliver data platform capabilities, Structure ServiceNow backlog, Prioritize ServiceNow backlog, Progress ServiceNow development, Identify DevOps automation initiatives, Scope DevOps automation initiatives, Deliver DevOps automation efficiency, Own Abacus portal roadmap, Communicate Abacus portal roadmap, Progress Abacus portal development, Deploy AI solutions, Deliver AI business value, Define team charters, Define team goals, Define team delivery metrics, Reflect cross-team collaboration, Reflect consistent delivery", "teamCollaboration" : "Cross-functional teams; Internal stakeholders; Executive leadership; Service delivery team; Across multiple disciplines", "projectManagementSkills" : [ "Roadmap planning", "Prioritization" ], "domainKnowledge" : "Regulated environments; Financial services; Healthcare; Managed Services Provider (MSP); ITSM platforms; Data lakes; Lakehouses; Data mesh architectures", "domainList" : [ "regulated-environments", "financial-services", "healthcare", "managed-services-provider-msp", "itsm-platforms", "data-lakes", "lakehouses", "data-mesh-architectures" ], "domainSpecificKnowledge" : [ "Regulated environments", "Financial services", "Healthcare", "Managed Services Provider (MSP)", "ITSM platforms", "Data lakes", "Lakehouses", "Data mesh architectures" ], "toolProficiency" : [ "ServiceNow" ], "communicationSkills" : "Executive communication; Stakeholder management; Compelling communication", "continuousLearning" : "Online courses", "outcomesObjectives" : "Enterprise data platform foundation architected; Enterprise data platform resourced; Enterprise data platform delivering capabilities; ServiceNow development backlog progressing; DevOps automation delivering efficiency; Abacus portal roadmap progressing; AI solutions deployed; AI solutions delivering value; Teams operate with clear charters; Teams operate with clear goals; Teams operate with clear metrics; Engineering culture reflects collaboration; Engineering culture reflects delivery", "qualificationsBasic" : "12+ years software engineering, data engineering, DevOps, 7+ years progressive engineering leadership, Managing managers or multi-team organizations, Delivering enterprise-scale platforms and applications, Working in regulated industries, Translate business objectives into technical strategy", "qualificationsPreferred" : "Experience in Managed Services Provider (MSP), Familiarity with ServiceNow development and configuration, Hands-on data platform architecture, Hands-on AI/ML engineering, Hands-on DevOps automation, Experience with AI governance frameworks, Experience with risk management frameworks, Experience with compliance frameworks, Exposure to enterprise data platform design", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Overview We are seeking a highly strategic and execution-focused Sr Director, Data and Application Engineering to lead a broad portfolio of technical teams driving the organization's most critical engineering initiatives. Reporting directly to the Chief Technology Officer (CTO), this leader will oversee four core practice areas — DevOps, Application Development, Data Engineering, and Internal AI Development — and will be responsible for aligning these teams to deliver on the department's strategic goals. As a 1,000-person Managed Services Provider (MSP) serving financial services and healthcare clients, we operate in highly regulated environments that demand secure, compliant, and reliable engineering practices. This leader will ensure all teams operate with the rigor, velocity, and collaboration required to build enterprise-grade platforms and solutions. Reporting Structure Reports to: Chief Technology Officer (CTO) Direct Reports: Engineering leads across DevOps, Application Development, Data Engineering, and AI Development Teams Overseen DevOps Responsible for the infrastructure, CI/CD pipelines, and internal automation capabilities of the organization. This team supports development velocity, reliability, and the continued expansion of automation tooling across internal operations. Application Development Owns the design, development, and ongoing maintenance of internally built applications — most notably the Abacus portal — and supports service delivery initiatives including development and configuration work within ServiceNow. Data Engineering Leads the architecture, construction, and operation of the organization's enterprise data platform, enabling reliable, governed, and scalable data infrastructure across business units. Internal AI Development Drives the development and deployment of AI-powered tools and agents that deliver measurable efficiency gains across the organization. Partners with internal stakeholders to identify, prioritize, and implement AI solutions aligned to business needs. Departmental Goals This role is accountable for organizing and directing all four teams toward the following high-level department objectives: Build and mature the organization's enterprise data platform to support scalable, governed, and insight-ready data infrastructure Assist the service delivery team with the continued development and configuration of ServiceNow to improve ITSM capabilities and operational workflows Expand and integrate the DevOps team's scope to encompass internal automation initiatives, reducing manual effort and improving engineering efficiency across the organization Own the roadmap, development, and ongoing evolution of the internally developed Abacus portal Collaborate with internal stakeholders to identify, prioritize, and deliver AI solutions that drive organizational efficiency and support strategic business outcomes Key Responsibilities Strategic Leadership support career development at all levels Metrics, Reporting & Governance Define and track KPIs across teams (e.g., deployment frequency, platform uptime, data quality, AI adoption, development velocity) Regularly report progress, risks, and outcomes to the CTO and executive leadership Ensure all engineering practices meet governance, compliance, and security standards for regulated environments Qualifications Required 12+ years of experience in software engineering, data engineering, DevOps, or related technical disciplines 7+ years in progressive engineering leadership roles, including managing managers or multi-team organizations Demonstrated experience overseeing multiple, diverse technical teams simultaneously Proven track record of delivering enterprise-scale platforms and applications in production environments Experience working in regulated industries such as financial services, healthcare, or similar Strong ability to translate business objectives into technical strategy and measurable delivery outcomes Excellent executive communication and stakeholder management skills Preferred Experience within a Managed Services Provider (MSP) or services-based technology organization Familiarity with ITSM platforms, particularly ServiceNow development and configuration Hands-on background in one or more of: data platform architecture, AI/ML engineering, or DevOps automation Experience with AI governance, risk management, and compliance frameworks Exposure to enterprise data platform design (e.g., data lakes, lakehouses, data mesh architectures) Key Competencies Strategic vision balanced with pragmatic execution Cross-functional collaboration and executive stakeholder management Organizational design and team development across multiple disciplines Data-driven decision-making and outcomes orientation Clear, compelling communication with both technical and non-technical audiences Ability to lead through ambiguity in a fast-paced, evolving environment Success Metrics (First 12–18 Months) Enterprise data platform foundation is architected, resourced, and delivering initial capabilities ServiceNow development backlog is structured, prioritized, and progressing in partnership with service delivery DevOps automation initiatives are identified, scoped, and delivering measurable efficiency gains Abacus portal roadmap is owned, communicated, and actively progressing At least 2–3 AI solutions are deployed and delivering measurable business value All four engineering teams operate with clear charters, goals, and delivery metrics Engineering culture reflects strong cross-team collaboration and consistent delivery practices Why This Role Matters This role sits at the intersection of platform, product, data, and AI — and is central to the organization's ability to scale, innovate, and operate with excellence. The Senior Director of Engineering will unify four critical engineering functions under a shared vision, accelerating the delivery of the enterprise data platform, modernizing internal tooling, and embedding AI-driven efficiency into the organization's core operations. This is a high-visibility, high-impact leadership role with direct line of sight to the CTO and meaningful influence over the company's long-term technical direction. Benefits of Working for Abacus: Exposure to diverse array of technologies Part of a team of experienced engineers who aim to deliver exceptional service Competitive compensation Performance bonus Robust benefits package: medical, dental, vision, disability, life insurance, 401k, and PTO Opportunities to further technical education through online courses Positive, friendly, supportive work environment", "summaryDescription" : "Sr Director, Data and Application Engineering at ABACUS. Skills: Data Engineering, Application Development, DevOps, AI Development. Lead technical teams. Drive engineering initiatives", "postedDate" : "2026-06-14T19:15:30.605", "createdAt" : "2026-06-14T19:15:30.605", "lastUpdated" : "2026-06-15T21:47:59.306", "ingestTimestamp" : "2026-06-14T19:15:30.605", "mongoId" : "6a2c6a8f74d8ee00a090c9ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 245000, "salaryAnnualMax" : 375000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Metrics definition", "KPI tracking", "Risk reporting", "Outcome reporting", "Governance standards", "Compliance standards", "Security standards", "Leadership", "Data Engineering", "Application Development", "DevOps", "AI Development", "Strategic leadership", "Execution focus", "Technical strategy", "Stakeholder management", "Organizational design", "Team development", "Cross-functional collaboration", "Executive communication", "Roadmap planning", "Prioritization", "Regulated environments", "Financial services", "Healthcare", "Managed Services Provider (MSP)", "ITSM platforms", "Data lakes", "Lakehouses", "Data mesh architectures", "ServiceNow" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30511af292fd229cefa697", "title" : "Sr Director Analyst - AI and Software Engineering", "industry" : "Analyst", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director-level AI and Software Engineering role in the US technology industry, adjusted for seniority and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T12:05:32.334", "fingerprint" : "17bfe148d7427676d479bc47b35363f4c7b8ce12ad72aa97f7423a11d8d576ab", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/e23cc334-09a9-4253-8570-0ab055a44716/apply", "externalId" : "e23cc334-09a9-4253-8570-0ab055a44716", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 12, "experienceLevel" : "Director", "technicalSkills" : "AI, LLMs, OpenAI GPT, Anthropic Claude, Coding agents, Copilots", "professionalSkills" : [ "SDLC transformation", "AI-enabled application design", "Strategic guidance", "Software architecture", "Development practices" ], "hardSkillsList" : [ "Market trend analysis", "Data synthesis", "Strategic decision-making" ], "hardSkills" : [ { "name" : "Market trend analysis", "level" : "intermediate" }, { "name" : "Data synthesis", "level" : "intermediate" }, { "name" : "Strategic decision-making", "level" : "intermediate" } ], "majorSkills" : "AI, Software Engineering, LLMs", "majorSkillsList" : [ "AI", "Software Engineering", "LLMs" ], "coreResponsibilities" : "Develop and publish research, Analyze emerging technology and market trends, Advise clients directly, Reframe complex client challenges, Recommend future-ready approaches, Create and deliver presentations, Act as a market voice, Shape thought leadership, Shape client engagement strategies, Represent research insights externally, Contribute to peer review, Contribute to research innovation, Contribute to cross-team collaboration, Mentor junior analysts, Contribute to team development", "teamCollaboration" : "Global, multicultural teams; Sales and internal research teams", "domainKnowledge" : "AI-native development; Enterprise software development; AI agents; LLMs; Coding copilots; AI architectures; Custom-built enterprise software", "domainList" : [ "ai-native-development", "enterprise-software-development", "ai-agents", "llms", "coding-copilots", "ai-architectures", "custom-built-enterprise-software" ], "domainSpecificKnowledge" : [ "AI-native development", "Enterprise software development", "AI agents", "LLMs", "Coding copilots", "AI architectures", "Custom-built enterprise software" ], "communicationSkills" : "Executive briefings; Keynote content; Storytelling skills", "documentationSkills" : "Research outputs", "continuousLearning" : "Professional development opportunities", "innovationCreativity" : "Research innovation", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Travel up to 25%", "qualificationsBasic" : "Bachelor's degree, 12+ years of relevant experience, Deep expertise in AI-driven software development, Knowledge of leading LLM ecosystems, Hands-on understanding of AI architectures, Proven ability to analyze market trends, Exceptional executive presence, Research, writing, and storytelling skills, Advanced presentation skills, Analytical ability to synthesize data, Excellent business and financial acumen, Ability to work independently, Organizational skills", "qualificationsPreferred" : "Media experience, External visibility", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Develop and publish high-impact, “must-have” research focused on AI, software engineering, and AI-native development practices for global technology leaders. Analyze emerging technology and market trends, including AI agents, LLMs, and coding copilots, to identify strategic implications for enterprise software development. Advise clients directly through executive briefings, on-site engagements, and global conferences, helping them translate insights into actionable strategies. Reframe complex client challenges by identifying root causes and recommending future-ready approaches to software architecture and development. Create and deliver high-quality presentations, keynote content, and research outputs for senior technology and business audiences. Act as a market voice in collaboration with sales and internal research teams to shape thought leadership and client engagement strategies. Represent research insights externally through media, industry events, and professional networks, strengthening credibility and influence. Contribute to peer review, research innovation, and cross-team collaboration while mentoring junior analysts and contributing to team development. Requirements: Bachelor’s degree required; 12+ years of relevant experience in software engineering, AI, or related technical leadership roles (or equivalent experience). Deep expertise in AI-driven software development, including SDLC transformation and AI-enabled application design. Strong knowledge of leading LLM ecosystems (e.g., OpenAI GPT, Anthropic Claude) and developer tools such as coding agents and copilots. Hands-on understanding of AI architectures, including agents and systems used in custom-built enterprise software. Proven ability to analyze market trends and translate them into strategic guidance for enterprise technology leaders. Exceptional executive presence with the ability to engage and influence C-level stakeholders. Strong research, writing, and storytelling skills, including the ability to create compelling visual and analytical content. Advanced presentation skills with experience delivering keynote-level content to large or executive audiences. Strong analytical ability to synthesize data from interviews, surveys, and market research into structured insights. Excellent business and financial acumen to support strategic decision-making in complex environments. Ability to work independently while collaborating effectively across global, multicultural teams. Strong organizational skills with the ability to manage high-profile deliverables under tight deadlines. Willingness to travel up to 25% as needed. Media experience and external visibility are highly desirable. Benefits: Competitive base salary ranging from $172,000 to $202,500 USD, depending on experience and qualifications. Annual performance-based bonus or uncapped incentive compensation (role dependent). Comprehensive healthcare coverage including medical, dental, vision, life, and disability insurance. Generous paid time off and hybrid working flexibility with remote-first options when appropriate. 401(k) retirement plan with employer match (up to $7,200 annually). Employee stock purchase program with discounted company stock options. Access to world-class research resources, tools, and global thought leadership platforms. Strong professional development opportunities in a highly visible, global AI leadership environment. Inclusive, collaborative workplace culture with global exposure and cross-industry engagement. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Sr Director Analyst - AI and Software Engineering. Skills: AI, Software Engineering, LLMs. Develop and publish research. Analyze emerging technology and market trends", "postedDate" : "2026-06-15T10:33:04.630", "createdAt" : "2026-06-15T10:33:04.630", "lastUpdated" : "2026-06-16T12:05:32.334", "ingestTimestamp" : "2026-06-16T03:21:43.030", "mongoId" : "6a30511af292fd229cefa697", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 240000, "salaryAnnualMax" : 360000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Market trend analysis", "Data synthesis", "Strategic decision-making", "AI", "Software Engineering", "LLMs", "SDLC transformation", "AI-enabled application design", "Strategic guidance", "Software architecture", "Development practices", "AI-native development", "Enterprise software development", "AI agents", "Coding copilots", "AI architectures", "Custom-built enterprise software" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306768f292fd229cfbca30", "title" : "Director, Customer Success Data Engineering", "company" : "Toast", "industry" : "Hospitality", "salary" : { "min" : 215000.0, "max" : 315000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director, Customer Success Data Engineering in Boston, MA, adjusted for SaaS industry and company size." }, "location" : "Boston, MA, United States", "locations" : [ "Boston", "MA", "United States" ], "timestamp" : "2026-06-16T08:48:07.601", "fingerprint" : "4bc71b5b4b23b4cb5ae7edae2bd63402c6637390ab8750f65e7e773bf34672c5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.toasttab.com/jobs?gh_jid=8008019", "externalId" : "8008019", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, 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 modeling", "Analytics engineering", "AI data strategy", "Data architecture", "Pipeline development", "System design" ], "hardSkillsList" : [ "Data integration", "Data modeling", "Pipeline optimization", "Data quality monitoring", "KPI definition", "Data lineage", "Governance standards" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Pipeline optimization", "level" : "intermediate" }, { "name" : "Data quality monitoring", "level" : "intermediate" }, { "name" : "KPI definition", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Governance standards", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data architecture, AI data strategy, Data modeling, Leadership", "majorSkillsList" : [ "Data architecture", "AI data strategy", "Data modeling", "Leadership" ], "coreResponsibilities" : "Own the redesign of the unified CS data, Connect data across Care, CX, Enablement, and CSS, Define and execute the AI data strategy for, Make active architectural decisions for AI data retrieval, Build and maintain a documentation layer, Develop and apply a clear framework for AI, Lead the data integration for the contact center, Design and optimize pipelines for analytics, reporting, and, Establish testing, monitoring, and alerting as standard practice, Manage and mentor two senior data and analytics, Serve as the primary data architecture partner for, Collaborate closely with cross-functional peers, Represent CS data interests in enterprise governance forums, Ensure CS data is accurate, accessible, and trusted, Maintain a shared KPI dictionary, Maintain a data lineage map, Maintain a self-service analytics framework, Establish clear SLAs for data delivery, Establish processes for ongoing data quality monitoring", "teamCollaboration" : "Cross-functional peers; CS analytics and operations leaders; Enterprise data infrastructure; Finance; Business technology; Centralized data teams; Enterprise governance forums", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Customer Success data; Contact center platform; AI consumption; Semantic layer; Data quality; Data governance", "domainList" : [ "customer-success-data", "contact-center-platform", "ai-consumption", "semantic-layer", "data-quality", "data-governance" ], "domainSpecificKnowledge" : [ "Customer Success data", "Contact center platform", "AI consumption", "Semantic layer", "Data quality", "Data governance" ], "toolProficiency" : [ "Snowflake", "Dbt", "Contact center platform" ], "communicationSkills" : "Cross-functional communication", "documentationSkills" : "Documentation layer; Data documentation", "problemSolvingSkills" : "Diagnose systemic data quality and architecture problems; Redesign from the ground up", "outcomesObjectives" : "Ensure predictability and consistency of AI outputs; Ensure clean, well-modeled contact data flows; Ensure stakeholders are not the first to know something is broken; Build a high-performance team; Ensure security, compliance, and architecture standards are met; Ensure CS data is accurate, accessible, and trusted", "qualificationsBasic" : "10+ years of experience in data platform, data modeling, or analytics engineering, 3 years in a leadership capacity, Experience designing data models with AI consumption in mind, Hands-on experience with modern data stack tools, Building or maintaining a semantic layer, Track record of treating pipelines like software, Proven ability to diagnose systemic data quality and architecture problems, Cross-functional communication skill", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Role Overview This role serves as the data leader and technical authority for Customer Success data at Toast. You will own the strategy and execution of CS data modeling initiatives -- redesigning the CS data model from the ground up and defining how data is accessed, queried, and served across the organization. The CS data model needs to work reliably in two modes: as a structured foundation for dashboards, reporting, and operational metrics, and as a well-documented, trustworthy layer that AI systems can query consistently. Building for both -- and making deliberate architectural decisions about when each approach is appropriate -- is central to this role. This is an embedded role, sitting inside the CS organization. CS data problems are business problems first -- understanding how customers are being supported, where friction exists, and what patterns predict risk or opportunity requires close proximity to the teams asking those questions. This role is positioned to build that context directly and translate it into data architecture decisions. You will lead a small team of two senior data and analytics engineers to start, with room to grow as the function matures. What You'll Do Data Architecture & AI Data Strategy Own the redesign of the unified CS data model, connecting data across Care, CX, Enablement, and CSS teams and source systems including our new contact center platform. Define and execute the AI data strategy for CS -- specifically, how AI accesses, queries, and interacts with the data model. This means making active architectural decisions about when to pre-calculate and structure data versus when to allow dynamic AI retrieval, with predictability and consistency of outputs as the governing constraint. Build and maintain a documentation layer that functions as a first-class artifact -- not an afterthought. Reliable AI data access depends on well-structured, accurate documentation, and this person will treat it that way. Develop and apply a clear framework for when AI is the right tool versus traditional data approaches. Part of the job is pushing back when AI is unnecessary or introduces reliability risk. Platform & Pipeline Development Lead the data integration for the contact center platform migration, ensuring clean, well-modeled contact data flows into the CS data layer from day one. Design and optimize pipelines for analytics, reporting, and AI/ML-driven use cases. Establish testing, monitoring, and alerting as standard practice across CS pipelines -- freshness checks, completeness validation, anomaly detection. Stakeholders should never be the first to know something is broken. Leadership & Cross-functional Partnership Manage and mentor two senior data and analytics engineers, providing clear direction and building a high-performance team from the ground up. Serve as the primary data architecture partner for CS analytics and operations leaders, translating business problems into data model and tooling decisions. Collaborate closely with cross-functional peers in CS analytics, enterprise data infrastructure, finance, and business technology to align on KPI definitions, data lineage, and governance standards. Represent CS data interests in enterprise governance forums, ensuring security, compliance, and architecture standards are met. Enablement & Governance Ensure CS data is accurate, accessible, and trusted by the teams who depend on it -- from strategic OKRs down to operational dashboards. Maintain a shared KPI dictionary, data lineage map, and self-service analytics framework in partnership with centralized data teams. Establish clear SLAs for data delivery and processes for ongoing data quality monitoring. What We're Looking For Required Qualifications 10+ years of experience in data platform, data modeling, or analytics engineering roles, with at least 3 years in a leadership capacity. Experience designing data models with AI consumption in mind -- structuring for retrieval versus pre-calculation tradeoffs, ensuring predictability of outputs, and understanding that documentation is infrastructure, not overhead. Hands-on experience with modern data stack tools -- Snowflake, dbt, or equivalent -- including building or maintaining a semantic layer that ensures consistent metric definitions across BI tools, notebooks, and AI agents. A track record of treating pipelines like software: automated tests, schema validation, freshness and completeness monitoring, and changes that go through review before they reach production. You have been burned by silent data failures and build accordingly. Proven ability to diagnose systemic data quality and architecture problems and redesign from the ground up -- not just patch on top of what exists. Strong cross-functional communication skills -- you can translate complex data architecture decisions for non-technical business stakeholders. Preferred Qualifications Experience working in Customer Success, SaaS, or customer-facing operational analytics environments. Familiarity with Snowflake and modern orchestration frameworks (dbt, Airflow, or equivalent). Background that skews toward data modeling and transformation work -- you think in terms of data models, schemas, and semantic layers rather than services and application infrastructure. Experience with BI tools and dashboarding. Familiarity with real-time data streaming technologies (Kafka, Kinesis, or equivalent). Who Will Thrive Here You are energized by greenfield work. This role is building something new, and the fingerprints you leave on the data model and AI strategy will be visible and lasting. You are comfortable with a lean team today. Two direct reports to start, with room to grow -- this is not a role for someone who needs org size to feel impactful. You have the judgment to advocate for the right use of AI, including knowing when not to use it. The goal is a trustworthy, reliable data layer -- not AI for its own sake. You are a builder first. Strategy matters, but so does the ability to roll up your sleeves and make decisions at the implementation level. The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy. Zone A $217,000—$347,000 USD Zone B $188,000—$301,000 USD Zone C $170,000—$272,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.", "summaryDescription" : "Director, Customer Success Data Engineering at Toast. Skills: Data architecture, AI data strategy, Data modeling, Leadership. Own the redesign of the unified CS data. Connect data across Care, CX, Enablement, and CSS", "postedDate" : "2026-06-15T23:29:38.401", "createdAt" : "2026-06-15T23:29:38.401", "lastUpdated" : "2026-06-16T08:48:07.601", "ingestTimestamp" : "2026-06-15T23:29:38.401", "mongoId" : "6a306768f292fd229cfbca30", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 315000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data integration", "Data modeling", "Pipeline optimization", "Data quality monitoring", "KPI definition", "Data lineage", "Governance standards", "Leadership", "Mentoring", "Data architecture", "AI data strategy", "Analytics engineering", "Pipeline development", "System design", "Roadmap planning", "Customer Success data", "Contact center platform", "AI consumption", "Semantic layer", "Data quality", "Data governance", "Snowflake", "Dbt" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306768f292fd229cfbca2f", "title" : "Director, Customer Success Data Engineering", "company" : "Toast", "industry" : "Hospitality", "salary" : { "min" : 225000.0, "max" : 325000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director, Customer Success Data Engineering in Boston, MA, adjusted for industry and company size." }, "location" : "Boston, MA, United States", "locations" : [ "Boston", "MA", "United States" ], "timestamp" : "2026-06-16T08:07:05.763", "fingerprint" : "2be800f3b4781e8517e37946b154448302fc38ae75cd01902e2c759340d450b7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.toasttab.com/jobs?gh_jid=7951246", "externalId" : "7951246", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, Snowflake, Dbt, AI", "professionalSkills" : [ "Data modeling", "Data architecture", "System design" ], "hardSkillsList" : [ "Data engineering", "Analytics engineering", "AI data strategy", "Data integration", "Pipeline development", "Data quality monitoring", "Data governance" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "AI data strategy", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Pipeline development", "level" : "intermediate" }, { "name" : "Data quality monitoring", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data architecture, AI data strategy, Data modeling", "majorSkillsList" : [ "Data architecture", "AI data strategy", "Data modeling" ], "coreResponsibilities" : "Own the redesign of the unified CS data, Connect data across Care, CX, Enablement, and CSS, Define and execute the AI data strategy for, Make active architectural decisions about data calculation versus, Build and maintain a documentation layer, Develop and apply a clear framework for AI, Lead the data integration for the contact center, Design and optimize pipelines for analytics, reporting, and, Establish testing, monitoring, and alerting as standard practice, Manage and mentor two senior data and analytics, Serve as the primary data architecture partner for, Collaborate closely with cross-functional peers, Represent CS data interests in enterprise governance forums, Ensure CS data is accurate, accessible, and trusted, Maintain a shared KPI dictionary, Maintain a data lineage map, Maintain a self-service analytics framework, Establish clear SLAs for data delivery, Establish processes for ongoing data quality monitoring", "teamCollaboration" : "CS analytics and operations leaders; Cross-functional peers; Centralized data teams; Enterprise governance forums", "domainKnowledge" : "Customer Success; Contact center platform; AI systems", "domainList" : [ "customer-success", "contact-center-platform", "ai-systems" ], "domainSpecificKnowledge" : [ "Customer Success", "Contact center platform", "AI systems" ], "toolProficiency" : [ "Snowflake", "Dbt" ], "communicationSkills" : "Cross-functional communication", "documentationSkills" : "Documentation layer", "problemSolvingSkills" : "Diagnose systemic data quality and architecture problems", "qualificationsBasic" : "10+ years of experience in data platform, data modeling, or analytics engineering, 3+ years in a leadership capacity, Experience designing data models with AI consumption in mind, Hands-on experience with modern data stack tools, Building or maintaining a semantic layer, Track record of treating pipelines like software, Proven ability to diagnose systemic data quality and architecture problems, Cross-functional communication skill", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Role Overview This role serves as the data leader and technical authority for Customer Success data at Toast. You will own the strategy and execution of CS data modeling initiatives -- redesigning the CS data model from the ground up and defining how data is accessed, queried, and served across the organization. The CS data model needs to work reliably in two modes: as a structured foundation for dashboards, reporting, and operational metrics, and as a well-documented, trustworthy layer that AI systems can query consistently. Building for both -- and making deliberate architectural decisions about when each approach is appropriate -- is central to this role. This is an embedded role, sitting inside the CS organization. CS data problems are business problems first -- understanding how customers are being supported, where friction exists, and what patterns predict risk or opportunity requires close proximity to the teams asking those questions. This role is positioned to build that context directly and translate it into data architecture decisions. You will lead a small team of two senior data and analytics engineers to start, with room to grow as the function matures. What You'll Do Data Architecture & AI Data Strategy Own the redesign of the unified CS data model, connecting data across Care, CX, Enablement, and CSS teams and source systems including our new contact center platform. Define and execute the AI data strategy for CS -- specifically, how AI accesses, queries, and interacts with the data model. This means making active architectural decisions about when to pre-calculate and structure data versus when to allow dynamic AI retrieval, with predictability and consistency of outputs as the governing constraint. Build and maintain a documentation layer that functions as a first-class artifact -- not an afterthought. Reliable AI data access depends on well-structured, accurate documentation, and this person will treat it that way. Develop and apply a clear framework for when AI is the right tool versus traditional data approaches. Part of the job is pushing back when AI is unnecessary or introduces reliability risk. Platform & Pipeline Development Lead the data integration for the contact center platform migration, ensuring clean, well-modeled contact data flows into the CS data layer from day one. Design and optimize pipelines for analytics, reporting, and AI/ML-driven use cases. Establish testing, monitoring, and alerting as standard practice across CS pipelines -- freshness checks, completeness validation, anomaly detection. Stakeholders should never be the first to know something is broken. Leadership & Cross-functional Partnership Manage and mentor two senior data and analytics engineers, providing clear direction and building a high-performance team from the ground up. Serve as the primary data architecture partner for CS analytics and operations leaders, translating business problems into data model and tooling decisions. Collaborate closely with cross-functional peers in CS analytics, enterprise data infrastructure, finance, and business technology to align on KPI definitions, data lineage, and governance standards. Represent CS data interests in enterprise governance forums, ensuring security, compliance, and architecture standards are met. Enablement & Governance Ensure CS data is accurate, accessible, and trusted by the teams who depend on it -- from strategic OKRs down to operational dashboards. Maintain a shared KPI dictionary, data lineage map, and self-service analytics framework in partnership with centralized data teams. Establish clear SLAs for data delivery and processes for ongoing data quality monitoring. What We're Looking For Required Qualifications 10+ years of experience in data platform, data modeling, or analytics engineering roles, with at least 3 years in a leadership capacity. Experience designing data models with AI consumption in mind -- structuring for retrieval versus pre-calculation tradeoffs, ensuring predictability of outputs, and understanding that documentation is infrastructure, not overhead. Hands-on experience with modern data stack tools -- Snowflake, dbt, or equivalent -- including building or maintaining a semantic layer that ensures consistent metric definitions across BI tools, notebooks, and AI agents. A track record of treating pipelines like software: automated tests, schema validation, freshness and completeness monitoring, and changes that go through review before they reach production. You have been burned by silent data failures and build accordingly. Proven ability to diagnose systemic data quality and architecture problems and redesign from the ground up -- not just patch on top of what exists. Strong cross-functional communication skills -- you can translate complex data architecture decisions for non-technical business stakeholders. Preferred Qualifications Experience working in Customer Success, SaaS, or customer-facing operational analytics environments. Familiarity with Snowflake and modern orchestration frameworks (dbt, Airflow, or equivalent). Background that skews toward data modeling and transformation work -- you think in terms of data models, schemas, and semantic layers rather than services and application infrastructure. Experience with BI tools and dashboarding. Familiarity with real-time data streaming technologies (Kafka, Kinesis, or equivalent). Who Will Thrive Here You are energized by greenfield work. This role is building something new, and the fingerprints you leave on the data model and AI strategy will be visible and lasting. You are comfortable with a lean team today. Two direct reports to start, with room to grow -- this is not a role for someone who needs org size to feel impactful. You have the judgment to advocate for the right use of AI, including knowing when not to use it. The goal is a trustworthy, reliable data layer -- not AI for its own sake. You are a builder first. Strategy matters, but so does the ability to roll up your sleeves and make decisions at the implementation level. The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy. Zone A $217,000—$347,000 USD Zone B $188,000—$301,000 USD Zone C $170,000—$272,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.", "summaryDescription" : "Director, Customer Success Data Engineering at Toast. Skills: Data architecture, AI data strategy, Data modeling. Own the redesign of the unified CS data. 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With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter, LinkedIn, Facebook and Instagram. What Is Go-to-Market Engineering? Go-to-Market Engineering is a modern discipline that replaces the traditional campaign-centric model of demand generation with a systems-thinking approach to pipeline creation. Where traditional demand gen asks 'what campaign should we run next,' GTM Engineering asks a more fundamental question: how do all the inputs of modern marketing -- data, technology, paid and organic media, AI agents, channel partners, field activation, content, and human touchpoints -- connect into a coordinated, measurable system that reliably produces revenue outcomes? The shift is significant. Traditional demand gen is linear: build an asset, launch a program, measure leads. GTM Engineering is architectural: design the system, instrument every layer, optimize the connections between them, and let the machine compound over time. Campaigns are still part of the output -- but they are one component of a larger engineered motion, not the strategy itself. Owning the marketing operations function and the digital marketing stack is integral to this role. The demand engine is only as good as the infrastructure it runs on. This person does not just advise on technology -- they own it, govern it, and continuously evolve it to give SonicWall a structural advantage in how marketing creates and converts pipeline. For a company like SonicWall -- operating globally across multiple product lines, a 100% channel model, and a multi-tier distribution structure -- GTM Engineering is not aspirational. It is the only approach sophisticated enough to match the complexity of the business. This role exists to build and lead that capability. Role Summary The Director, Go-to-Market Engineering reports directly to the CMO and leads both the Integrated Marketing Managers aligned to each SonicWall product line and the Marketing Operations team. This person is responsible for designing, building, and continuously optimizing SonicWall's global demand engine -- the integrated system of data, technology, channel programs, field marketing activation, advertising, AI-powered tools, and coordinated tactics that converts market awareness into partner-sourced pipeline. This is not a campaign management role. It is an engineering role in the truest marketing sense: architecting the system, owning the infrastructure it runs on, connecting the components, and driving measurable outcomes across every layer of the global GTM motion. By combining demand strategy with ownership of marketing operations and the digital stack, this role has both the authority and the tools to build something that actually works -- end to end. SonicWall operates on a 100% channel model. Every strategy this role develops must be designed with the channel as the primary route to market -- activating distributors, resellers, and managed service providers as demand-generation partners, not simply as fulfillment vehicles. Channel integration is not a consideration applied after strategy is built. It is the foundation the strategy is built on. Organizational Context This role leads two teams. The Integrated Marketing Managers are each aligned to a SonicWall product line spanning Network Security, Cloud Security Edge, Managed Security Services, and Endpoint Security -- owning campaign execution within their respective areas. The Marketing Operations team owns the systems, data infrastructure, and processes that the entire marketing organization runs on. Together, these two teams give the Director both the strategic execution capability and the infrastructure authority needed to engineer a world-class demand system. Field marketing is a critical partner to this role. Global field marketing teams are on the ground in regional markets, activating the channel, driving local pipeline programs, and translating global GTM strategy into market-level execution. The Director works closely with field marketing to ensure the demand system is built for regional activation and that field-level insights flow back into system optimization. Product marketing is embedded within each product line. This role maintains a close working relationship with those counterparts, co-developing the messaging frameworks, GTM strategies, and campaign narratives that translate product positioning into partner-activated market demand. The channel sales organization is a primary internal partner. Demand strategies must be built in close coordination with channel leadership to reflect partner tier structures, distributor dynamics, MDF investment priorities, and the realities of how SonicWall partners go to market with end customers. Core Responsibilities GTM System Architecture and Demand Engineering Design and own SonicWall's global demand engine -- the integrated system of data signals, technology platforms, paid and organic media, AI-powered workflows, channel and field programs, and coordinated tactics that produces pipeline at scale Map and continuously optimize the full GTM motion from market awareness through partner engagement to pipeline creation, identifying friction points and engineering solutions at every stage Define the instrumentation and measurement framework that makes the demand engine visible -- ensuring every component is tracked, attributed, and connected to revenue outcomes Introduce AI agents, automation, and modern MarTech as active, integrated components of the demand system rather than experimental add-ons Stay ahead of emerging GTM approaches, tools, and channels, and bring a grounded point of view on what SonicWall should adopt and when Marketing Operations and Digital Stack Ownership Own the marketing operations function in its entirety -- including the people, processes, systems, and data infrastructure that the global marketing organization depends on to execute and measure its work Own and govern SonicWall's digital marketing stack -- evaluating, selecting, integrating, and retiring platforms with a bias toward capability, simplicity, and measurable business impact Ensure the marketing technology stack is not just maintained but actively engineered -- continuously evolving to give SonicWall a structural advantage in how demand is created, captured, and converted Drive data quality, CRM hygiene, and marketing attribution standards across the organization, ensuring pipeline reporting is accurate, consistent, and trusted by revenue leadership Lead the organization's adoption of AI-powered marketing tools and workflows, building internal playbooks and capability so the broader team can leverage AI in day-to-day execution Align marketing operations priorities with the demands of the GTM Engineering system -- so the team is not just supporting programs, but actively enabling the demand engine Channel-Integrated Demand Strategy Design demand strategies that treat the channel as the primary route to market -- building programs that activate and enable distributors, resellers, and managed service providers to generate pipeline on behalf of SonicWall Work closely with the channel sales organization to align the demand system with partner tier structures, distributor dynamics, MDF investment priorities, and partner capacity Build through-partner marketing frameworks, co-branded campaign tools, and partner enablement assets that make it easy for the channel to execute SonicWall's GTM motion Understand the multi-tier distribution model at a structural level -- design programs that work at each layer and measure partner contribution accordingly Field Marketing Alignment and Global Activation Partner closely with global field marketing teams to ensure the demand system is designed for regional execution, not just global strategy Provide field marketing with the frameworks, tools, and campaign infrastructure needed to activate the channel and drive pipeline in local markets Use field-level market intelligence to continuously refine and improve the global demand system -- treating regional feedback as a core input to GTM Engineering decisions Align global demand programs with field marketing calendars, regional partner events, and local market priorities Product Marketing Collaboration Partner closely with product marketing counterparts embedded across the product lines to co-develop campaign messaging, GTM strategy, and launch frameworks Ensure the demand system is grounded in current product positioning and competitive context at all times Serve as the feedback loop between market demand signals and product marketing -- surfacing what is resonating, what is not, and where messaging needs to evolve Align the GTM Engineering calendar with product launch timelines and go-to-market milestones across all product lines Team Leadership and Development Directly manage Integrated Marketing Managers aligned to each SonicWall product line and the Marketing Operations team -- providing strategic direction, GTM Engineering frameworks, and leadership that elevates both teams Coach and develop team members across demand strategy, systems thinking, data fluency, channel-integrated design, and AI-powered execution Hold teams accountable to pipeline contribution and operational excellence metrics while removing obstacles to execution Foster a culture of experimentation, measurement, and continuous improvement across both functions Data, Intelligence, and Attribution Own the demand intelligence function -- building and maintaining the data infrastructure, attribution models, and reporting frameworks that make the demand engine measurable. This role will work closely with the leader of strategy and transformation to power this function. Develop pipeline attribution models that account for the channel motion, connecting marketing activity to partner-sourced and partner-influenced revenue globally Use data to identify gaps and opportunities in the demand system by segment, region, partner tier, and product line -- and translate findings into engineering decisions Ensure pipeline reporting is accurate, consistent, and trusted across the revenue organization Cross-Functional GTM Alignment Serve as the CMO's strategic operator for GTM execution -- translating vision into a prioritized, coordinated roadmap across the global marketing organization Drive quarterly GTM planning cadences and ensure alignment across demand, field, ops, comms, product marketing, and channel functions Act as the connective tissue between marketing functions, channel teams, and product lines -- ensuring the demand system works as a whole, not a collection of disconnected parts What This Person Looks Like 8 to 12 years in B2B marketing, with a trajectory that moves from hands-on campaign execution into systems-level strategy, demand leadership, or marketing operations Thinks like an engineer -- approaches GTM as a system to be designed, instrumented, and optimized rather than a series of campaigns to be planned and executed Has owned or deeply managed marketing operations and/or a marketing technology stack -- understands what it takes to govern, evolve, and get real value from the infrastructure Deep fluency in channel-led and partner-led GTM models -- understands multi-tier distribution, MDF strategy, through-partner marketing, and how to build demand programs that activate the channel as a revenue partner Experience working with or alongside global field marketing teams, understanding how global strategy translates into regional execution Comfortable working across the full modern marketing stack: intent data, ABM platforms, paid media, marketing automation, CRM, AI agents, and emerging tools -- as a systems thinker who knows how the components connect and compound Deeply data literate -- can build attribution models, read pipeline analytics, and diagnose system performance without needing a translator Has used AI tools in a real GTM context -- not just experimented with them, but integrated them into how work actually gets done Demonstrated ability to lead and develop direct reports across more than one functional area Track record of productive collaboration with product marketing, field marketing, and channel or sales organizations Cybersecurity or enterprise tech background preferred but not required Why This Role Exists The era of campaign-centric demand generation is giving way to something more sophisticated. The companies that will win in B2B markets over the next decade are the ones that build demand engines -- coordinated, data-driven, AI-augmented systems that create pipeline consistently and at scale, through every channel and touchpoint simultaneously. SonicWall is building that capability now. This role is the architect. By combining demand strategy, marketing operations, and digital stack ownership under a single leader, SonicWall is making a deliberate choice to stop separating strategy from infrastructure -- and to give the right person the authority to build the whole system. If you have been waiting for a role that matches how you already think about marketing -- as a system, not a campaign calendar -- this is it. #LI-KB7 #LI-Remote SonicWall is an equal opportunity employer. We are committed to creating a diverse environment and are an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. At SonicWall, we pride ourselves on recruiting a diverse mix of talented people and providing active security solutions in 100+ countries. Applicant Privacy Notice", "summaryDescription" : "Director, Go-to-Market Engineering at SonicWall. Skills: Brand strategy, Customer acquisition, Campaign management, Growth metrics. Focus on brand strategy. 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Austin District Headquarters (14DISTHQ)
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Bastrop Area Engr/Maint Sect (14BASTRPCO)
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North Austin Area Engr Office (14NAUSTNAE)
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Austin, 78753

Georgetown-Willmsn Co Ae/Maint (14WLLMSNCO)
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9725 SOUTH IH 35
Austin, 78744

, Austin District Headquarters" ], "timestamp" : "2026-06-16T06:15:12.024", "fingerprint" : "3bfc9a685725ee2d0ad072f11e2402af9d0c541305d3f70d55bd3762eec5cb5c", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=42713", "externalId" : "42713", "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" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Engineering support", "Data collection" ], "majorSkills" : "Engineering support, Data collection", "majorSkillsList" : [ "Engineering support", "Data collection" ], "coreResponsibilities" : "Assist in transportation engineering support, Perform construction inspection, Perform maintenance inspection, Perform structural construction, Perform structural maintenance, Perform laboratory work, Perform landscaping, Perform surveying, Collect engineering data, Operate data collection equipment", "domainKnowledge" : "Transportation engineering", "domainList" : [ "transportation-engineering" ], "domainSpecificKnowledge" : [ "Transportation engineering" ], "toolProficiency" : [ "Data collection equipment" ], "specialRequirements" : "Valid driver’s license (if 18+), May use power tools (if 18+)", "qualificationsBasic" : "16 years old, U. S. Citizen or eligible to work, Currently enrolled as a student", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This position is for internships during the months of May-August TxDOT's Austin District has job openings for Intern Engineering Support Techs at various offices across the Austin Metro Area. Annually, over 500 College and High School students from across Texas and beyond select the Texas Department of Transportation as their employer of choice. A paid internship is a great opportunity to explore what TxDOT has to offer, expand your knowledge and skills, and possibly serve as a gateway to future job opportunities with the agency. Many students choose to join our team while they complete their college education. At TxDOT, you will gain valuable experience working with skilled and licensed professionals to develop and enhance job skills through practical application. Engineering Support Techs assists in transportation engineering support work such as construction or maintenance inspection, structural construction or maintenance, laboratory work, landscaping, surveying, or engineering data collection, operating data collection equipment, and other entry-level engineering support work. Employees at this level perform assignments following specific instructions and are subject to frequent review by the immediate supervisor. To qualify, students must: Must be 16 years old Be a U.S. Citizen or be eligible to work in the U.S. Be currently enrolled as a student at a high school, technical school, college or university. Note: Employees at least 18 years of age with a valid driver’s license may be assigned driving duties and may use power tools. Possible Work Location(s): Austin District Headquarters: 7901 North IH 35, Austin TX 78753 North Travis Area Office: 1001 E. Parmer Lane, Austin TX 78753 South Travis Area Office: 1925 S. IH 35, Austin TX 78744 Bastrop Area Office: 174 SH 21 East, Bastrop TX 78602 Burnet Area Office: 3029 SH 29 East, Burnet TX 78611 Georgetown Area Office: 2727 S Austin Ave, Georgetown TX 78626 Salary Plan/Grade: Intern Engineering Support: A11 ($18-$22/Hourly) 18.00 23.00", "summaryDescription" : "2026 Engineering Intern: Austin District - Various Locations at TxDOT. Skills: Engineering support, Data collection. Assist in transportation engineering support. Perform construction inspection", "createdAt" : "2026-06-14T20:49:37.809", "lastUpdated" : "2026-06-16T06:15:12.024", "ingestTimestamp" : "2026-06-14T20:49:37.809", "mongoId" : "69dde4492beec4dd3d9a3374", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryAnnualMax" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Engineering support", "Data collection", "Transportation engineering", "Data collection equipment" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16291b58b93c861e959eb4", "title" : "Electrical Engineering Technical Lead", "company" : "HDR", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Electrical Engineering Technical Lead in Saint Louis Park, MN, adjusted for lead seniority and full-time employment." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-16T02:41:45.715", "fingerprint" : "057ad7c55c9680ddf16c1174db35a6a54ad184e107c945295a76ce48f70b108d", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=782719", "externalId" : "782719", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Saint Louis Park", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.9475726,-93.3569023" } ], "locationText" : "Saint Louis Park, Minnesota, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "experienceMinYears" : 15, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "teamCollaboration" : "Multi-disciplinary environments", "toolProficiency" : [ "Microsoft Office" ], "communicationSkills" : "Verbal communication; Written communication", "qualificationsBasic" : "Associate's degree in engineering or related field, Equivalent work experience, 15 years of engineering experience, Hands-on experience with computer applications, Extensive knowledge of industry standards, Ability to work in multi-disciplinary environments, Proficient with Microsoft Office", "remoteFriendly" : false, "rawDescription" : "Required Qualifications Associate's degree in engineering or related field of study or equivalent work experience A minimum of 15 years of engineering experience in the discipline to be supported Aptitude and demonstrated hands-on experience with computer applications specific to the discipline to be supported Extensive knowledge of industry standards specific to the discipline being supported Proven ability to work in multi-disciplinary environments Proficient with Microsoft Office Excellent verbal and written communication skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Minnesota-Saint Louis Park", "summaryDescription" : "Electrical Engineering Technical Lead at HDR", "createdAt" : "2026-06-14T19:48:20.923", "lastUpdated" : "2026-06-16T02:41:45.715", "ingestTimestamp" : "2026-06-14T19:48:20.923", "mongoId" : "6a16291b58b93c861e959eb4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Microsoft Office" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "6a306969f292fd229cfc8169", "title" : "Mgr, Automation and Controls Engineering", "company" : "Fortune Brands", "industry" : "Consumer Goods", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager of Automation and Controls Engineering in Kinston, United States, adjusted for industry and company size." }, "location" : "Kinston, North Carolina, United States", "locations" : [ "Kinston", "North Carolina", "United States" ], "timestamp" : "2026-06-16T11:47:56.313", "fingerprint" : "49c7b6b4decde4931b5a0f4ba088b6b93b7858b2f8e8dbc8e949165e485a51ec", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/FortuneBrands/744000132264939-mgr-automation-and-controls-engineering", "externalId" : "744000132264939", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kinston", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2626635,-77.5816353" } ], "locationText" : "Kinston, North Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "PLC programming, HMI development, Robotics, Industrial networks, SCADA systems, MES systems, Allen-Bradley, Siemens, FANUC, KUKA", "professionalSkills" : [ "Project management", "System design", "Process improvement", "Team leadership" ], "hardSkillsList" : [ "Automation", "Controls engineering", "PLC programming", "HMI development", "Robotics integration", "Industrial networking", "Project management" ], "hardSkills" : [ { "name" : "Automation", "level" : "intermediate" }, { "name" : "Controls engineering", "level" : "intermediate" }, { "name" : "PLC programming", "level" : "intermediate" }, { "name" : "HMI development", "level" : "intermediate" }, { "name" : "Robotics integration", "level" : "intermediate" }, { "name" : "Industrial networking", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" } ], "majorSkills" : "Automation Engineering, Controls Engineering, PLC Programming", "majorSkillsList" : [ "Automation Engineering", "Controls Engineering", "PLC Programming" ], "coreResponsibilities" : "Manage automation and controls engineering projects, Design and implement automation solutions, Develop and maintain PLC programs, Develop and maintain HMI screens, Integrate robotics into production lines, Configure and troubleshoot industrial networks, Lead a team of automation engineers, Ensure compliance with safety standards, Collaborate with cross-functional teams, Manage project budgets and timelines", "teamCollaboration" : "Cross-functional teams; Automation engineers", "projectManagementSkills" : [ "Project management", "Budget management", "Timeline management" ], "domainKnowledge" : "Manufacturing automation; Industrial controls; Robotics integration; Lean Manufacturing; Six Sigma", "domainList" : [ "manufacturing-automation", "industrial-controls", "robotics-integration", "lean-manufacturing", "six-sigma" ], "domainSpecificKnowledge" : [ "Manufacturing automation", "Industrial controls", "Robotics integration", "Lean Manufacturing", "Six Sigma" ], "toolProficiency" : [ "Allen-Bradley", "Siemens", "FANUC", "KUKA" ], "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Improve manufacturing efficiency; Reduce production costs; Enhance product quality; Ensure operational reliability", "qualificationsBasic" : "Bachelor's degree in Engineering or related field, 5+ years of experience in automation and controls engineering, Experience with PLC programming, Experience with HMI development, Experience with robotics, Experience with industrial networks, Experience with project management", "qualificationsPreferred" : "Master's degree in Engineering, Experience with Allen-Bradley PLCs, Experience with Siemens PLCs, Experience with FANUC robots, Experience with KUKA robots, Experience with SCADA systems, Experience with MES systems, Experience with Lean Manufacturing principles, Experience with Six Sigma methodologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Fortune Brands Innovations, Inc. is an industry-leading home, security and digital products company. We’re focused on exciting opportunities within the home, security and commercial building markets. Our driving purpose is to elevate every life by transforming spaces into havens. We believe our work and our brands can have incredibly positive impacts for not just our business and shareholders, but for people and the planet, too. At Fortune Brands, we’re building something big. We’re advancing exciting innovations in all of our products and processes. We’re delivering trust, dependability, sustainability, and style. To make it all happen, we’ve transformed our workplace into an environment where smart, ambitious people have the support to reach their fullest potential. When you join Fortune Brands, you become part of a high-performing team empowered to think big, learn fast and make bold decisions. We support an inclusive culture where everyone is encouraged be their authentic selves, and where our differences and unique perspectives are a key strength. Explore life at Fortune Brands [here](https://www.fbin.com/careers/life-at-fortune-brands/). As a Manager, Automation and Controls Engineering , you will play a key role in ensuring the reliable operation of automated machinery, conveyor systems, robotics, and more. You will lead a team and perform both preventive maintenance and repairs, troubleshoot issues, and collaborate with our team of engineers to optimize equipment performance. Additionally, you’ll maintain accurate documentation, update the CMMS system, and support facility management efforts to sustain a high-performing environment. The ideal candidate will have a bachelor’s degree in mechanical or electrical engineering, with strong mechanical and electrical skills. You should be proficient in troubleshooting conveyors, robotics, PLCs, and automated systems. Knowledge of preventative maintenance, problem-solving abilities, attention to detail, and safety procedures are essential. Location: This is an onsite role, reporting to our Moen Distribution Center in Kinston, North Carolina. Responsibilities: * Oversee all aspects of Facility Management and Maintenance operations including facility aesthetics, ownership of equipment and plant facility performance, management and execution of on-going preventative maintenance plans, and management of continuous improvement projects. * Guide and nurture a team of maintenance staff, fostering professional growth and collaborative problem-solving in equipment installation, repairs, and preventative maintenance. * Lead and execute engineering projects for the facility. Collaborate to advance engineering projects for the facility, co-developing future automation strategies and capital projects with stakeholders. * Encourage continuous improvement initiatives, partnering with operations to establish inclusive performance standards and KPIs. * Actively participate on project teams contributing as the automation subject matter expert regarding system capabilities and system design decisions. * Provide strategic leadership in developing the Distribution Center’s processes, systems, policies and procedures setting the future direction of the engineering function. * Lead the startup of new/existing operations by ensuring code and configurations meet specifications and validation requirements. Stay current on technologies and engineering trends in order to recommend/incorporate as appropriate. * Maintain a safe work environment and promote accident prevention by setting expectations and addressing unsafe behaviors. Provide technical leadership and ensure site compliance for all regulatory agencies. * Manage labor/overhead budget to optimize resources and cost-efficiency. Identify, implement, and execute cost-savings initiatives. Leverage resources effectively to meet DC KPI’s per budget standards. ## Qualifications * 5+ years Engineering, Maintenance, or related Operations experience * Bachelor’s Degree in Mechanical or Electrical Engineering preferred * Demonstrated experience leading Engineering and Maintenance teams in Manufacturing or Distribution environment including goal setting, establishing performance standards, and driving employee engagement, accountability, and enablement. * Demonstrated experience with controls systems and controls integration. Previous experience with Allen Bradley, FactoryTalk, Logix 5000, RSLinx, Rockwell Software, Rockwell Automation, Studio 000 Logix, or equivalent Logix’s experience, automation and controls development, PLC and HMI program development, AB PowerFlex Series drives. * Development, support and troubleshooting of Intelligrated software. * Experience with Manufacturing/Distribution Improvement Methodologies, ie: Continuous Improvement, Six Sigma, 5S, Lean Manufacturing/Distribution. Project management experience including design, development, and implementation. ## Additional Information Fortune Brands believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is Hiring Pay Range: $107,000 USD - $165,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based sales incentive plan. At Fortune Brands, we support the overall health and wellness of our associates by offering comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes robust health plans, a market-leading 401(k) program with a company contribution, product discounts, flexible time off benefits, adoption benefits, and more. We offer numerous ERGs (Employee Resource Groups) to foster a sense of belonging for all associates. Fortune Brands is built on industry-leading brands and innovation within the high-growth categories of water, outdoors and security. The Company makes innovative products for residential and commercial environments, with a growing focus on digital solutions and products that add luxury, contribute to safety and enhance sustainability. To learn more, visit our website at [fbin.com](https://fbin.com). Equal Employment Opportunity Fortune Brands is an equal opportunity employer. Fortune Brands evaluates qualified applicants without regard to race, color, religion, sex, gender identity or expression, national origin, ancestry, age, disability/handicap status, marital status, protected veteran status, sexual orientation, genetic history or information, or any other legally protected characteristic. Reasonable Accommodations Fortune Brands is committed to working with and providing reasonable accommodations to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please contact us at [fbinleave.fbhs@fbin.com](mailto:fbinleave.fbhs@fbin.com) and let us know the nature of your request along with your contact information. Important Notice: Protect Yourself from Fraudulent Job Postings To protect yourself from fraudulent job postings or recruitment scams, please note that Fortune Brands job postings are exclusively hosted on our website at [fbin.com/careers](https://fbin.com/careers) via our SmartRecruiters platform. Fortune Brands will never request banking information or sensitive personal details until an offer of employment has been accepted and the onboarding process begins.", "summaryDescription" : "Mgr, Automation and Controls Engineering at Fortune Brands. Skills: Automation Engineering, Controls Engineering, PLC Programming. Manage automation and controls engineering projects. Design and implement automation solutions", "postedDate" : "2026-06-15T18:37:02.000", "createdAt" : "2026-06-15T23:59:52.204", "lastUpdated" : "2026-06-16T11:47:56.313", "ingestTimestamp" : "2026-06-15T23:59:52.204", "mongoId" : "6a306969f292fd229cfc8169", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Automation", "Controls engineering", "PLC programming", "HMI development", "Robotics integration", "Industrial networking", "Project management", "Automation Engineering", "Controls Engineering", "PLC Programming", "System design", "Process improvement", "Team leadership", "Budget management", "Timeline management", "Manufacturing automation", "Industrial controls", "Lean Manufacturing", "Six Sigma", "Allen-Bradley", "Siemens", "FANUC", "KUKA" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306402f292fd229cf9fcaf", "title" : "Mgr, Automation and Controls Engineering", "company" : "Fortune Brands", "industry" : "Consumer Goods", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Automation and Controls Engineering in Kinston, United States, adjusted for industry and company size." }, "location" : "Kinston, North Carolina, United States", "locations" : [ "Kinston", "North Carolina", "United States" ], "timestamp" : "2026-06-16T10:53:31.674", "fingerprint" : "48bc61b13ffcfd9e0e310872a9b5afaf403e1d3770f6fd3473651a178e083b89", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/FortuneBrands/744000132264939-mgr-automation-and-controls-engineering", "externalId" : "744000132264939", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kinston", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2626635,-77.5816353" } ], "locationText" : "Kinston, North Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "PLC programming, HMI development, Robotics, Industrial networks, SCADA systems, MES systems, Allen-Bradley, Siemens, FANUC, KUKA", "professionalSkills" : [ "Project management", "System design", "Process improvement", "Team leadership" ], "hardSkillsList" : [ "Automation", "Controls engineering", "PLC programming", "HMI development", "Robotics integration", "Industrial networking", "System integration" ], "hardSkills" : [ { "name" : "Automation", "level" : "intermediate" }, { "name" : "Controls engineering", "level" : "intermediate" }, { "name" : "PLC programming", "level" : "intermediate" }, { "name" : "HMI development", "level" : "intermediate" }, { "name" : "Robotics integration", "level" : "intermediate" }, { "name" : "Industrial networking", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" } ], "majorSkills" : "Automation Engineering, Controls Engineering, PLC Programming", "majorSkillsList" : [ "Automation Engineering", "Controls Engineering", "PLC Programming" ], "coreResponsibilities" : "Manage automation and controls engineering projects, Design and implement automation solutions, Develop and maintain PLC programs, Develop and maintain HMI screens, Integrate robotics into production lines, Configure and troubleshoot industrial networks, Oversee system testing and validation, Provide technical support to manufacturing teams, Mentor junior engineers, Ensure compliance with safety standards", "teamCollaboration" : "Cross-functional teams; Manufacturing operations", "projectManagementSkills" : [ "Project management", "Budget management", "Schedule management" ], "domainKnowledge" : "Manufacturing automation; Industrial controls; Robotics integration; Process automation", "domainList" : [ "manufacturing-automation", "industrial-controls", "robotics-integration", "process-automation" ], "domainSpecificKnowledge" : [ "Manufacturing automation", "Industrial controls", "Robotics integration", "Process automation" ], "toolProficiency" : [ "Allen-Bradley", "Siemens", "FANUC", "KUKA" ], "communicationSkills" : "Technical presentations; Project reporting", "documentationSkills" : "Technical documentation; System specifications", "innovationCreativity" : "Develop innovative solutions", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Improve manufacturing efficiency; Reduce production costs; Enhance product quality; Ensure operational reliability", "qualificationsBasic" : "Bachelor's degree in Engineering or related field, 5+ years of experience in automation and controls engineering, Experience with PLC programming, Experience with HMI development, Experience with robotics, Experience with industrial networks, Experience with project management", "qualificationsPreferred" : "Master's degree in Engineering, Experience with Allen-Bradley PLCs, Experience with Siemens PLCs, Experience with FANUC robots, Experience with KUKA robots, Experience with SCADA systems, Experience with MES systems, Experience with Lean Manufacturing principles, Experience with Six Sigma methodologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Fortune Brands Innovations, Inc. is an industry-leading home, security and digital products company. We’re focused on exciting opportunities within the home, security and commercial building markets. Our driving purpose is to elevate every life by transforming spaces into havens. We believe our work and our brands can have incredibly positive impacts for not just our business and shareholders, but for people and the planet, too. At Fortune Brands, we’re building something big. We’re advancing exciting innovations in all of our products and processes. We’re delivering trust, dependability, sustainability, and style. To make it all happen, we’ve transformed our workplace into an environment where smart, ambitious people have the support to reach their fullest potential. When you join Fortune Brands, you become part of a high-performing team empowered to think big, learn fast and make bold decisions. We support an inclusive culture where everyone is encouraged be their authentic selves, and where our differences and unique perspectives are a key strength. Explore life at Fortune Brands [here](https://www.fbin.com/careers/life-at-fortune-brands/). As a Manager, Automation and Controls Engineering , you will play a key role in ensuring the reliable operation of automated machinery, conveyor systems, robotics, and more. You will lead a team and perform both preventive maintenance and repairs, troubleshoot issues, and collaborate with our team of engineers to optimize equipment performance. Additionally, you’ll maintain accurate documentation, update the CMMS system, and support facility management efforts to sustain a high-performing environment. The ideal candidate will have a bachelor’s degree in mechanical or electrical engineering, with strong mechanical and electrical skills. You should be proficient in troubleshooting conveyors, robotics, PLCs, and automated systems. Knowledge of preventative maintenance, problem-solving abilities, attention to detail, and safety procedures are essential. Location: This is an onsite role, reporting to our Moen Distribution Center in Kinston, North Carolina. Responsibilities: * Oversee all aspects of Facility Management and Maintenance operations including facility aesthetics, ownership of equipment and plant facility performance, management and execution of on-going preventative maintenance plans, and management of continuous improvement projects. * Guide and nurture a team of maintenance staff, fostering professional growth and collaborative problem-solving in equipment installation, repairs, and preventative maintenance. * Lead and execute engineering projects for the facility. Collaborate to advance engineering projects for the facility, co-developing future automation strategies and capital projects with stakeholders. * Encourage continuous improvement initiatives, partnering with operations to establish inclusive performance standards and KPIs. * Actively participate on project teams contributing as the automation subject matter expert regarding system capabilities and system design decisions. * Provide strategic leadership in developing the Distribution Center’s processes, systems, policies and procedures setting the future direction of the engineering function. * Lead the startup of new/existing operations by ensuring code and configurations meet specifications and validation requirements. Stay current on technologies and engineering trends in order to recommend/incorporate as appropriate. * Maintain a safe work environment and promote accident prevention by setting expectations and addressing unsafe behaviors. Provide technical leadership and ensure site compliance for all regulatory agencies. * Manage labor/overhead budget to optimize resources and cost-efficiency. Identify, implement, and execute cost-savings initiatives. Leverage resources effectively to meet DC KPI’s per budget standards. ## Qualifications * 5+ years Engineering, Maintenance, or related Operations experience * Bachelor’s Degree in Mechanical or Electrical Engineering preferred * Demonstrated experience leading Engineering and Maintenance teams in Manufacturing or Distribution environment including goal setting, establishing performance standards, and driving employee engagement, accountability, and enablement. * Demonstrated experience with controls systems and controls integration. Previous experience with Allen Bradley, FactoryTalk, Logix 5000, RSLinx, Rockwell Software, Rockwell Automation, Studio 000 Logix, or equivalent Logix’s experience, automation and controls development, PLC and HMI program development, AB PowerFlex Series drives. * Development, support and troubleshooting of Intelligrated software. * Experience with Manufacturing/Distribution Improvement Methodologies, ie: Continuous Improvement, Six Sigma, 5S, Lean Manufacturing/Distribution. Project management experience including design, development, and implementation. ## Additional Information Fortune Brands believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is Hiring Pay Range: $107,000 USD - $165,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based sales incentive plan. At Fortune Brands, we support the overall health and wellness of our associates by offering comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes robust health plans, a market-leading 401(k) program with a company contribution, product discounts, flexible time off benefits, adoption benefits, and more. We offer numerous ERGs (Employee Resource Groups) to foster a sense of belonging for all associates. Fortune Brands is built on industry-leading brands and innovation within the high-growth categories of water, outdoors and security. The Company makes innovative products for residential and commercial environments, with a growing focus on digital solutions and products that add luxury, contribute to safety and enhance sustainability. To learn more, visit our website at [fbin.com](https://fbin.com). Equal Employment Opportunity Fortune Brands is an equal opportunity employer. Fortune Brands evaluates qualified applicants without regard to race, color, religion, sex, gender identity or expression, national origin, ancestry, age, disability/handicap status, marital status, protected veteran status, sexual orientation, genetic history or information, or any other legally protected characteristic. Reasonable Accommodations Fortune Brands is committed to working with and providing reasonable accommodations to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please contact us at [fbinleave.fbhs@fbin.com](mailto:fbinleave.fbhs@fbin.com) and let us know the nature of your request along with your contact information. Important Notice: Protect Yourself from Fraudulent Job Postings To protect yourself from fraudulent job postings or recruitment scams, please note that Fortune Brands job postings are exclusively hosted on our website at [fbin.com/careers](https://fbin.com/careers) via our SmartRecruiters platform. Fortune Brands will never request banking information or sensitive personal details until an offer of employment has been accepted and the onboarding process begins.", "summaryDescription" : "Mgr, Automation and Controls Engineering at Fortune Brands. Skills: Automation Engineering, Controls Engineering, PLC Programming. Manage automation and controls engineering projects. Design and implement automation solutions", "postedDate" : "2026-06-15T18:37:02.000", "createdAt" : "2026-06-15T23:49:46.542", "lastUpdated" : "2026-06-16T10:53:31.674", "ingestTimestamp" : "2026-06-15T23:49:46.542", "mongoId" : "6a306402f292fd229cf9fcaf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Automation", "Controls engineering", "PLC programming", "HMI development", "Robotics integration", "Industrial networking", "System integration", "Automation Engineering", "Controls Engineering", "PLC Programming", "Project management", "System design", "Process improvement", "Team leadership", "Budget management", "Schedule management", "Manufacturing automation", "Industrial controls", "Process automation", "Allen-Bradley", "Siemens", "FANUC", "KUKA" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305464f292fd229cf17c21", "title" : "Junior Business Developer (Engineering Services)", "company" : "TRIGO", "industry" : "Automotive", "salary" : { "min" : 7000000.0, "max" : 9500000.0, "currency" : "HUF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Junior Business Developer in Budapest, Hungary, adjusted for the manufacturing industry and entry-level experience." }, "location" : "Budapest, HU", "locations" : [ "Budapest", "HU" ], "timestamp" : "2026-06-16T08:07:59.303", "fingerprint" : "e598315ca901bfc8e224795db648c5d9427f9dd2d9f83f7fd2afaad3300f00f0", "source" : "smartrecruiters", "language" : "hu", "applyUrl" : "https://jobs.smartrecruiters.com/Trigo/744000132153349-junior-business-developer-engineering-services-", "externalId" : "744000132153349", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Budapest", "country" : "Hungary", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "47.4813896,19.1457723" } ], "locationText" : "Budapest, Hungary", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "professionalSkills" : [ "Business development", "Client relations", "B2B sales", "Sales support", "Project coordination" ], "majorSkills" : "Business development, Client relations, Sales", "majorSkillsList" : [ "Business development", "Client relations", "Sales" ], "coreResponsibilities" : "Contact existing clients, Build client relations, Map client needs, Attend client meetings, Conduct client meetings, Present TRIGO services, Identify new business opportunities, Prepare offers, Coordinate offers, Follow up on offers, Liaise with internal teams, Clarify client needs, Track client projects, Gather market information, Monitor competitors, Track industry trends, Document sales activities", "teamCollaboration" : "Internal professional teams", "domainKnowledge" : "Automotive industry; Manufacturing sector; Quality management; Quality assurance", "domainList" : [ "automotive-industry", "manufacturing-sector", "quality-management", "quality-assurance" ], "domainSpecificKnowledge" : [ "Automotive industry", "Manufacturing sector", "Quality management", "Quality assurance" ], "toolProficiency" : [ "CRM system" ], "communicationSkills" : "Client communication; Professional representation", "continuousLearning" : "Business development training; Client relations training; Technical sales training", "problemSolvingSkills" : "Solution seeking", "specialRequirements" : "National travel, Flexible work location", "qualificationsBasic" : "Technical degree or relevant technical field, Open to business development, Open to client relations, Open to B2B sales, Excellent communication skills, Relationship building skills, Professional self-representation, Interest in automotive industry, Interest in manufacturing, Interest in quality services, Technical attitude, Sales attitude, Proactivity, Business curiosity, Client negotiation skills, Client needs understanding, Solution seeking, Confident English language skills, Valid driver's license, Active driving experience", "qualificationsPreferred" : "Internship experience automotive, Internship experience manufacturing, Internship experience technical services, Quality assurance internship, Engineering internship, Project internship, OEM supplier experience, Tier 1 supplier experience, Tier 2 supplier experience, Client relations experience, Project coordination experience, Technical support experience, Sales support experience, Basic quality assurance knowledge, Automotive standards knowledge, Quality process knowledge, Internal partner communication experience, External partner communication experience", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "A TRIGO csoport több mint 25 éve kínál professzionális minőségügyi megoldásokat elsősorban a járműipar és a gyártási szektor meghatározó szereplői számára. Nemzetközi nagyvállalatként több mint 10 000 szakemberrel, 4 kontinensen és 28 országban támogatjuk partnereinket minőségellenőrzési, minőségmenedzsment és mérnöki szolgáltatásokkal a beszállítói lánc különböző szintjein. Most egy olyan pályakezdő vagy junior kollégát keresünk, aki műszaki háttérrel rendelkezik, érdeklődik az autóipar és a minőségügy iránt, emellett szívesen épít kapcsolatokat, kommunikál ügyfelekkel és nyitott az üzletfejlesztési terület irányába. Ebben a pozícióban a TRIGO üzletfejlesztési és ügyfélkapcsolati tevékenységét támogatod országos szinten. A szerep célja, hogy műszaki szemlélettel megértsd ügyfeleink működését, felismerd az üzleti lehetőségeket, és aktívan részt vegyél a partnerkapcsolatok fejlesztésében. Feladataid lesznek: * Meglévő és potenciális ügyfelekkel történő kapcsolattartás és kapcsolatépítés * Ügyféligények feltérképezése műszaki és üzleti szempontból * Személyes ügyféltalálkozókon való részvétel, később önálló ügyféltalálkozók lebonyolítása * A TRIGO szolgáltatási portfóliójának bemutatása ügyfelek számára * Új üzleti lehetőségek azonosítása az autóipari és gyártási szektorban * Ajánlatok elkészítése, egyeztetése és nyomon követése * Kapcsolattartás belső szakmai csapatokkal az ügyféligények pontosítása érdekében * Ügyfélprojektek nyomon követése az első egyeztetésektől a szerződéskötésig * Piaci információk gyűjtése, versenytársak és iparági trendek figyelemmel kísérése * CRM rendszer használata és az értékesítési aktivitások dokumentálása ## Qualifications * Frissdiplomás vagy pályakezdő vagy az alábbi területek valamelyikén: műszaki menedzser, minőségügy, járműmérnök, gépészmérnök, mechatronika vagy egyéb releváns műszaki terület * Nyitott vagy az üzletfejlesztés, ügyfélkapcsolatok és B2B értékesítés irányába * Kiválóan kommunikálsz, könnyen teremtesz kapcsolatot és magabiztosan képviseled magad szakmai helyzetekben * Érdekel az autóipar, a gyártás és a minőségügyi szolgáltatások világa * Van benned műszaki és sales attitűd, proaktivitás és üzleti kíváncsiság * Szeretsz ügyfelekkel egyeztetni, kérdezni, igényeket megérteni és megoldásokat keresni * Magabiztosan használod az angol nyelvet szóban és írásban * Rugalmas vagy a munkavégzés helyét illetően, és nyitott vagy országos ügyféllátogatásokra * Rendelkezel B kategóriás jogosítvánnyal és aktív vezetési gyakorlattal Előnyt jelent a kiválasztás során * Gyakornoki tapasztalat autóipari, gyártó vagy műszaki szolgáltató vállalatnál (minőségügy, mérnökség, vagy projekt területen) * OEM, Tier 1 vagy Tier 2 beszállítói környezetben szerzett tapasztalat * Ügyfélkapcsolati, projektkoordinációs, műszaki támogatási vagy értékesítést támogató tapasztalat * Minőségügyi alapismeretek * Autóipari szabványok vagy minőségügyi folyamatok ismerete * Korábbi tapasztalat olyan szerepben, ahol belső és külső partnerekkel is kapcsolatot kellett tartanod ## Additional Information * Valódi belépési lehetőség az autóipari üzletfejlesztés világába * Műszaki és üzleti tudásod egyszerre fejlődhet * Támogató szakmai háttér és betanulási folyamat * Nemzetközi vállalati környezet * Változatos ügyfélkör az autóipar és a gyártási szektor területén * Országos szerepkör, rugalmas munkavégzési hellyel * Lehetőség ügyféltalálkozókon, ajánlatadási folyamatokban és üzleti egyeztetéseken való aktív részvételre * Hosszú távú fejlődési lehetőség üzletfejlesztési, ügyfélkapcsolati vagy műszaki értékesítési irányba * Munkavégzés helye: országos szerepkör, rugalmas kiindulási helyszínnel * Utazás: ügyféligényekhez igazodóan, Magyarország területén", "summaryDescription" : "Junior Business Developer (Engineering Services) at TRIGO. Skills: Business development, Client relations, Sales. Contact existing clients. Build client relations", "postedDate" : "2026-06-15T09:22:01.000", "createdAt" : "2026-06-15T23:41:54.123", "lastUpdated" : "2026-06-16T08:07:59.303", "ingestTimestamp" : "2026-06-15T23:41:54.123", "mongoId" : "6a305464f292fd229cf17c21", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Business development", "Client relations", "Sales", "B2B sales", "Sales support", "Project coordination", "Automotive industry", "Manufacturing sector", "Quality management", "Quality assurance", "CRM system" ], "skillCount" : 11, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305098f292fd229cef28cb", "title" : "Technical Product Manager, AI Engineering & Systems", "company" : "Jerry. ai", "industry" : "Product", "salary" : { "min" : 130000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "Los Angeles, California", "New York, New York", "Chicago, Illinois", "Atlanta, Georgia", "Miami, Florida", "Houston, Texas" ], "timestamp" : "2026-06-16T10:13:47.018", "fingerprint" : "85e2e68876cd1c84d147f18b93f9a9215ab1a18aeb0621aa39c7592671baf329", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/2d5d7915-36dd-4bc8-97f5-b0eb6cc49cbd/application", "externalId" : "2d5d7915-36dd-4bc8-97f5-b0eb6cc49cbd", "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" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "LLMs, APIs, AI", "professionalSkills" : [ "Systems thinking", "Technical translation", "Prompt strategy", "Evaluation frameworks", "Platform standards" ], "hardSkillsList" : [ "SQL", "System architecture" ], "hardSkills" : [ { "name" : "SQL", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" } ], "majorSkills" : "AI Engineering, Systems Management, LLM Systems", "majorSkillsList" : [ "AI Engineering", "Systems Management", "LLM Systems" ], "coreResponsibilities" : "Lead end-to-end development for AI platform, Lead end-to-end development for customer experiences, Partner with engineers to design prompt strategies, Partner with engineers to design evaluation frameworks, Partner with engineers to design guardrails, Serve as technical translator, Establish AI best practices, Establish platform standards, Drive systematic improvement in answer quality, Drive systematic improvement in customer satisfaction, Drive systematic improvement in automation rates, Work with partners to evaluate voice models, Work with partners to deploy voice models, Work with partners to evaluate workflow automation, Work with partners to deploy workflow automation", "teamCollaboration" : "Cross-functional collaboration; Partner with engineers; Technical translator between engineering", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Car ownership industry; Modern LLM systems; Voice models; Workflow automation", "domainList" : [ "car-ownership-industry", "modern-llm-systems", "voice-models", "workflow-automation" ], "domainSpecificKnowledge" : [ "Car ownership industry", "Modern LLM systems", "Voice models", "Workflow automation" ], "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Data-driven hypothesis validation", "outcomesObjectives" : "Automate fragmented market; Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "3+ years experience, Proven interest in LLM systems, Ability to navigate technical tradeoffs, Lead by example implementing AI standards, Track record of taking ideas into products", "qualificationsPreferred" : "Management consulting experience, Technical product management experience at startup", "remoteFriendly" : true, "rawDescription" : "WHY JERRY.AI http://Jerry.ai? - We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 3+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Technical Product Manager, AI Engineering & Systems at Jerry. ai. Skills: AI Engineering, Systems Management, LLM Systems. Lead end-to-end development for AI platform. 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LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 3+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Technical Product Manager, AI Engineering & Systems at Jerry. ai. Skills: AI Engineering, Systems, LLM systems. Lead end-to-end development for AI platform. Lead end-to-end development for customer experiences", "createdAt" : "2026-06-16T00:27:00.106", "lastUpdated" : "2026-06-16T08:35:46.305", "ingestTimestamp" : "2026-06-16T00:27:00.106", "mongoId" : "6a305930f292fd229cf45a0d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 170000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "SQL", "System architecture", "AI Engineering", "Systems", "LLM systems", "Systems thinking", "Technical translation", "Prompt strategy", "Evaluation frameworks", "Platform standards", "Roadmap", "Car ownership industry", "Modern LLM systems", "Voice models", "Workflow automation" ], "skillCount" : 15, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30822ff292fd229c06c98c", "title" : "Safety and Reliability Engineering Analyst", "company" : "General Dynamics Mission System International", "industry" : "Defense And Space", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Safety and Reliability Engineering Analyst in Ottawa, Canada, adjusted for the technology industry and company size." }, "location" : "Ottawa, ON, Canada", "locations" : [ "Ottawa", "ON", "Canada" ], "timestamp" : "2026-06-16T10:13:37.573", "fingerprint" : "3eae3b3ca85511c304495ae7a6296988ef0ff65cbbc1d225b8da82df86d2107b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/GDMSI/744000132250429-safety-and-reliability-engineering-analyst", "externalId" : "744000132250429", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ottawa", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.4208777,-75.6901106" } ], "locationText" : "Ottawa, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "System safety, Reliability engineering, FMEA, FMECA, R&M tools", "professionalSkills" : [ "Risk mitigation", "Technical documentation", "System design" ], "hardSkillsList" : [ "Hazard assessments", "Fault tree analysis", "Risk assessment", "Reliability calculations", "Maintainability considerations" ], "hardSkills" : [ { "name" : "Hazard assessments", "level" : "intermediate" }, { "name" : "Fault tree analysis", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Reliability calculations", "level" : "intermediate" }, { "name" : "Maintainability considerations", "level" : "intermediate" } ], "majorSkills" : "System safety, Reliability engineering, Hazard analysis, FMEA", "majorSkillsList" : [ "System safety", "Reliability engineering", "Hazard analysis", "FMEA" ], "coreResponsibilities" : "Support program safety objectives, Support program reliability objectives, Execute hazard analyses, Execute reliability analyses, Support compliance to contractual requirements, Support compliance to safety standards, Produce technical documentation, Collaborate with engineering teams, Reduce system risk, Apply system safety disciplines, Execute Preliminary Hazard Analyses, Execute System Hazard Analyses, Classify hazards, Track hazards, Track mitigations, Support reliability activities, Support maintainability activities, Develop FMEA / FMECA, Consider maintainability during design, Use R&M tools, Use R&M templates, Use R&M processes, Contribute data to reliability calculations, Contribute data to reliability predictions, Review design artifacts, Identify safety impacts, Identify reliability impacts, Provide technical inputs to developers, Implement hazard mitigation, Develop safety plans, Develop safety assessment reports, Develop hazard logs, Develop FMEA worksheets, Ensure documentation accuracy, Ensure documentation traceability, Ensure documentation compliance", "teamCollaboration" : "Multidisciplinary engineering teams; Systems engineering; Hardware design teams; Software development teams", "domainKnowledge" : "Defence systems; Security systems; Civilian programs; Military programs", "domainList" : [ "defence-systems", "security-systems", "civilian-programs", "military-programs" ], "domainSpecificKnowledge" : [ "Defence systems", "Security systems", "Civilian programs", "Military programs" ], "toolProficiency" : [ "Hazard logs" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical writing; Safety plans; Safety reports; Hazard logs; FMEA worksheets", "continuousLearning" : "Educational assistance; Professional memberships", "innovationCreativity" : "New ideas; Modern solutions", "problemSolvingSkills" : "Risk mitigation; Troubleshooting", "specialRequirements" : "Canadian Controlled Goods program registration, Canadian government security clearance, Security assessed workforce", "qualificationsBasic" : "Bachelor degree in relevant engineering, Practical exposure to system safety, Practical exposure to RMT work, Understanding of systems engineering lifecycle, Understanding of hardware design processes, Understanding of software design processes, Understanding of safety engineering fundamentals, Understanding of reliability principles, Understanding of maintainability concepts, Understanding of FMEA / FMECA techniques, Ability to apply methods using guidance, Ability to apply methods using templates, Understanding of hazard classification schemes, Understanding of risk matrices, Eligible to work in Canada", "qualificationsPreferred" : "Awareness of MIL-STD-1629A, Awareness of ARP-4761, Awareness of DEF STAN 00-055, Awareness of DEF STAN 00-056", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Build bold. Deliver impact. Win together. At General Dynamics Mission Systems–Canada, we’re not just engineering technology — we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical solutions that enhance national security, strengthen communities, and protect the people we serve. If you’re looking for meaningful work that contributes to a safer, more secure world, you’ll find purpose here. Every day, your skills will directly impact programs that matter. We are seeking a Safety and Reliability Engineering Analyst to play a critical role in shaping our cutting-edge systems. In this role, you will directly influence system design by ensuring compliance with safety and reliability requirements throughout the engineering lifecycle. This is an opportunity to apply your expertise in hazard assessments, fault tree analysis, and risk mitigation strategies while collaborating with multidisciplinary engineering teams. This is an ideal opportunity for someone with a keen eye for identifying and addressing potential system risks, thrives in a complex technical environment, and is passionate about enhancing system safety and reliability. In this role you can expect to support program safety and reliability objectives by: * Executing assigned hazard and reliability analyses * Supporting compliance to contractual safety requirements and standards * Producing accurate, traceable technical documentation * Collaborating with multidisciplinary engineering teams to reduce system risk * Apply system safety disciplines to assigned programs (civilian or military) * Execute defined analyses such as: * Hazard Assessments * Preliminary / System Hazard Analyses * Classify hazards using defined severity and probability criteria * Track hazards and mitigations in hazard logs or equivalent tools * Support reliability and maintainability activities, including: * FMEA / FMECA development * Maintainability considerations during design reviews * Use established R&M tools, templates, and processes * Contribute data to reliability calculations or predictions as directed * Collaborate with: * Systems engineering * Hardware design teams * Software development teams * Review design artifacts to identify safety and reliability impacts * Provide technical inputs to developers regarding hazard mitigation implementation * Develop and maintain technical documentation, including: * Safety plans (sections or drafts) * Safety assessment reports * Hazard logs * FMEA worksheets * Ensure documentation is: * Accurate * Traceable * Compliant with applicable standards and program requirements ## Qualifications * Bachelor degree in relevant engineering discipline; or equivalent * Has practical exposure to system safety and/or RMT work * Understanding of: * Systems engineering lifecycle * Hardware and software design processes * Safety engineering fundamentals * Understanding of: * Reliability principles * Maintainability concepts * FMEA / FMECA techniques * Ability to apply methods using predefined guidance and templates * Understanding of: * Hazard classification schemes * Risk matrices * Awareness is an asset for: * MIL-STD-1629A * ARP-4761 * DEF STAN 00-055 / 00-056 It is a requirement that General Dynamics Mission Systems-Canada be registered with the Canadian Controlled Goods program and that all of its workforce be security assessed. Successful applicants must meet all applicable security requirements, including but not limited to the ability to obtain and maintain a Canadian government security clearance. Applicants may be required to meet additional security requirements in order to gain access to technical data, classified areas or information that is subject to international regulations. You must be eligible to work in Canada. ## Additional Information What We Offer The hiring range for this position is $75,000- $91,000 CAD annual. Our goal is to provide a fair and competitive offer based on an assessment of internal equity and your qualifications, including: * Relevant experience * Technical and non-technical skills * Education and certifications Benefits As a full-time employee at General Dynamics Mission Systems–Canada, you’ll enjoy a competitive total rewards package that supports your professional and personal well-being: * Comprehensive medical, dental, and vision coverage for you and eligible dependents from day one (no cost), including flexible benefits options (HCSA) emergency travel insurance, and 24/7 virtual care services. * Employee & Family Assistance Program (EFAP), onsite fitness facilities, and employee resource groups. * Defined Contribution Pension Plan with employer contributions after 3 months, RRSP access from day one, and financial planning support. * Flexible time off including vacation, holidays, parental leaves with top-up options, sick leave, and disability programs. * Career development through learning platforms, educational assistance, mentoring, and reimbursement of professional memberships. * Additional perks such as employee discounts, free onsite parking, social clubs, and an annual scholarship program for employees’ children. Why join us? * Purposeful Innovation: You’ll work on innovations that genuinely make a difference. You’ll apply advanced thinking, design expertise, and practical problem-solving to help equip military and allied forces with leading-edge systems. You’ll be surrounded by some of the brightest minds in the defence sector, contributing to next-generation technologies in an environment that celebrates creativity, new ideas, and modern solutions. * Connection: We believe people do their best work when they feel they belong, and their ideas can flourish. Different perspectives, experiences, and ways of thinking help us innovate and grow. Strong relationships with our teammates help us unite, overcome challenges, and deliver the world-class quality we’re known for. Here, we are committed to inclusivity and ensures every individual feels valued, respected, and empowered. * Challenging and Rewarding Career Pathways: Your career path matters to us. From mentorship and regular check-ins with your leader to educational support, professional certifications, and continuous training, you’ll have the resources you need to thrive. We encourage internal mobility so you can explore different business areas, broaden your skillset, and expand your network. You’ll be working on high-profile, impactful projects that challenge your skills, expand your expertise, and allow you to both learn from mentors and guide others along the way. Accommodation If you require accommodation during any stage of the application process, please contact Human Resources via recruitment@gd-ms.ca. Closing Date We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.", "summaryDescription" : "Safety and Reliability Engineering Analyst at General Dynamics Mission System International. Skills: System safety, Reliability engineering, Hazard analysis, FMEA. Support program safety objectives. Support program reliability objectives", "postedDate" : "2026-06-15T17:07:51.000", "createdAt" : "2026-06-16T01:37:29.650", "lastUpdated" : "2026-06-16T10:13:37.573", "ingestTimestamp" : "2026-06-16T01:37:29.650", "mongoId" : "6a30822ff292fd229c06c98c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Hazard assessments", "Fault tree analysis", "Risk assessment", "Reliability calculations", "Maintainability considerations", "System safety", "Reliability engineering", "Hazard analysis", "FMEA", "Risk mitigation", "Technical documentation", "System design", "Defence systems", "Security systems", "Civilian programs", "Military programs", "Hazard logs" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305583f292fd229cf1fd87", "title" : "Safety and Reliability Engineering Analyst", "company" : "General Dynamics Mission System International", "industry" : "Defense And Space", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Safety and Reliability Engineering Analyst in Ottawa, Canada, adjusted for the technology industry and company size." }, "location" : "Ottawa, ON, Canada", "locations" : [ "Ottawa", "ON", "Canada" ], "timestamp" : "2026-06-16T08:39:41.673", "fingerprint" : "16f66c2343536980380c5904fb821296b57d39049f5d6ea80bab8074850634ca", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/GDMSI/744000132250429-safety-and-reliability-engineering-analyst", "externalId" : "744000132250429", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ottawa", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.4208777,-75.6901106" } ], "locationText" : "Ottawa, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "System safety, Reliability engineering, FMEA, FMECA, R&M tools", "professionalSkills" : [ "Risk mitigation", "Technical documentation", "System design" ], "hardSkillsList" : [ "Hazard assessments", "Fault tree analysis", "Risk assessment", "Reliability calculations", "Maintainability considerations" ], "hardSkills" : [ { "name" : "Hazard assessments", "level" : "intermediate" }, { "name" : "Fault tree analysis", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Reliability calculations", "level" : "intermediate" }, { "name" : "Maintainability considerations", "level" : "intermediate" } ], "majorSkills" : "System safety, Reliability engineering, Hazard analysis, FMEA/FMECA", "majorSkillsList" : [ "System safety", "Reliability engineering", "Hazard analysis", "FMEA/FMECA" ], "coreResponsibilities" : "Support program safety objectives, Support reliability objectives, Execute hazard analyses, Execute reliability analyses, Support compliance to requirements, Support compliance to standards, Produce technical documentation, Collaborate with engineering teams, Reduce system risk, Apply system safety disciplines, Execute Preliminary Hazard Analyses, Execute System Hazard Analyses, Classify hazards, Track hazards, Track mitigations, Support reliability activities, Support maintainability activities, Develop FMEA / FMECA, Consider maintainability during design, Use R&M tools, Use R&M templates, Use R&M processes, Contribute data to calculations, Contribute data to predictions, Review design artifacts, Identify safety impacts, Identify reliability impacts, Provide technical inputs, Implement hazard mitigation, Develop safety plans, Develop safety assessment reports, Develop hazard logs, Develop FMEA worksheets, Ensure documentation accuracy, Ensure documentation traceability, Ensure documentation compliance", "teamCollaboration" : "Multidisciplinary engineering teams; Systems engineering; Hardware design teams; Software development teams", "domainKnowledge" : "Defence systems; Security systems; Civilian programs; Military programs", "domainList" : [ "defence-systems", "security-systems", "civilian-programs", "military-programs" ], "domainSpecificKnowledge" : [ "Defence systems", "Security systems", "Civilian programs", "Military programs" ], "toolProficiency" : [ "Hazard logs" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation; Safety plans; Safety assessment reports; Hazard logs; FMEA worksheets", "continuousLearning" : "Educational assistance; Professional memberships", "problemSolvingSkills" : "Risk mitigation; Hazard classification; Fault tree analysis", "specialRequirements" : "Canadian Controlled Goods program registration, Canadian government security clearance, Meet additional security requirements", "qualificationsBasic" : "Bachelor degree in relevant engineering, Practical exposure to system safety, Practical exposure to RMT work, Understanding of systems engineering lifecycle, Understanding of hardware design processes, Understanding of software design processes, Understanding of safety engineering fundamentals, Understanding of reliability principles, Understanding of maintainability concepts, Understanding of FMEA / FMECA techniques, Ability to apply methods using guidance, Ability to apply methods using templates, Understanding of hazard classification schemes, Understanding of risk matrices, Eligible to work in Canada", "qualificationsPreferred" : "Awareness of MIL-STD-1629A, Awareness of ARP-4761, Awareness of DEF STAN 00-055, Awareness of DEF STAN 00-056", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Build bold. Deliver impact. Win together. At General Dynamics Mission Systems–Canada, we’re not just engineering technology — we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical solutions that enhance national security, strengthen communities, and protect the people we serve. If you’re looking for meaningful work that contributes to a safer, more secure world, you’ll find purpose here. Every day, your skills will directly impact programs that matter. We are seeking a Safety and Reliability Engineering Analyst to play a critical role in shaping our cutting-edge systems. In this role, you will directly influence system design by ensuring compliance with safety and reliability requirements throughout the engineering lifecycle. This is an opportunity to apply your expertise in hazard assessments, fault tree analysis, and risk mitigation strategies while collaborating with multidisciplinary engineering teams. This is an ideal opportunity for someone with a keen eye for identifying and addressing potential system risks, thrives in a complex technical environment, and is passionate about enhancing system safety and reliability. In this role you can expect to support program safety and reliability objectives by: * Executing assigned hazard and reliability analyses * Supporting compliance to contractual safety requirements and standards * Producing accurate, traceable technical documentation * Collaborating with multidisciplinary engineering teams to reduce system risk * Apply system safety disciplines to assigned programs (civilian or military) * Execute defined analyses such as: * Hazard Assessments * Preliminary / System Hazard Analyses * Classify hazards using defined severity and probability criteria * Track hazards and mitigations in hazard logs or equivalent tools * Support reliability and maintainability activities, including: * FMEA / FMECA development * Maintainability considerations during design reviews * Use established R&M tools, templates, and processes * Contribute data to reliability calculations or predictions as directed * Collaborate with: * Systems engineering * Hardware design teams * Software development teams * Review design artifacts to identify safety and reliability impacts * Provide technical inputs to developers regarding hazard mitigation implementation * Develop and maintain technical documentation, including: * Safety plans (sections or drafts) * Safety assessment reports * Hazard logs * FMEA worksheets * Ensure documentation is: * Accurate * Traceable * Compliant with applicable standards and program requirements ## Qualifications * Bachelor degree in relevant engineering discipline; or equivalent * Has practical exposure to system safety and/or RMT work * Understanding of: * Systems engineering lifecycle * Hardware and software design processes * Safety engineering fundamentals * Understanding of: * Reliability principles * Maintainability concepts * FMEA / FMECA techniques * Ability to apply methods using predefined guidance and templates * Understanding of: * Hazard classification schemes * Risk matrices * Awareness is an asset for: * MIL-STD-1629A * ARP-4761 * DEF STAN 00-055 / 00-056 It is a requirement that General Dynamics Mission Systems-Canada be registered with the Canadian Controlled Goods program and that all of its workforce be security assessed. Successful applicants must meet all applicable security requirements, including but not limited to the ability to obtain and maintain a Canadian government security clearance. Applicants may be required to meet additional security requirements in order to gain access to technical data, classified areas or information that is subject to international regulations. You must be eligible to work in Canada. ## Additional Information What We Offer The hiring range for this position is $75,000- $91,000 CAD annual. Our goal is to provide a fair and competitive offer based on an assessment of internal equity and your qualifications, including: * Relevant experience * Technical and non-technical skills * Education and certifications Benefits As a full-time employee at General Dynamics Mission Systems–Canada, you’ll enjoy a competitive total rewards package that supports your professional and personal well-being: * Comprehensive medical, dental, and vision coverage for you and eligible dependents from day one (no cost), including flexible benefits options (HCSA) emergency travel insurance, and 24/7 virtual care services. * Employee & Family Assistance Program (EFAP), onsite fitness facilities, and employee resource groups. * Defined Contribution Pension Plan with employer contributions after 3 months, RRSP access from day one, and financial planning support. * Flexible time off including vacation, holidays, parental leaves with top-up options, sick leave, and disability programs. * Career development through learning platforms, educational assistance, mentoring, and reimbursement of professional memberships. * Additional perks such as employee discounts, free onsite parking, social clubs, and an annual scholarship program for employees’ children. Why join us? * Purposeful Innovation: You’ll work on innovations that genuinely make a difference. You’ll apply advanced thinking, design expertise, and practical problem-solving to help equip military and allied forces with leading-edge systems. You’ll be surrounded by some of the brightest minds in the defence sector, contributing to next-generation technologies in an environment that celebrates creativity, new ideas, and modern solutions. * Connection: We believe people do their best work when they feel they belong, and their ideas can flourish. Different perspectives, experiences, and ways of thinking help us innovate and grow. Strong relationships with our teammates help us unite, overcome challenges, and deliver the world-class quality we’re known for. Here, we are committed to inclusivity and ensures every individual feels valued, respected, and empowered. * Challenging and Rewarding Career Pathways: Your career path matters to us. From mentorship and regular check-ins with your leader to educational support, professional certifications, and continuous training, you’ll have the resources you need to thrive. We encourage internal mobility so you can explore different business areas, broaden your skillset, and expand your network. You’ll be working on high-profile, impactful projects that challenge your skills, expand your expertise, and allow you to both learn from mentors and guide others along the way. Accommodation If you require accommodation during any stage of the application process, please contact Human Resources via recruitment@gd-ms.ca. Closing Date We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.", "summaryDescription" : "Safety and Reliability Engineering Analyst at General Dynamics Mission System International. Skills: System safety, Reliability engineering, Hazard analysis, FMEA/FMECA. Support program safety objectives. Support reliability objectives", "postedDate" : "2026-06-15T17:07:51.000", "createdAt" : "2026-06-15T23:44:06.145", "lastUpdated" : "2026-06-16T08:39:41.673", "ingestTimestamp" : "2026-06-15T23:44:06.145", "mongoId" : "6a305583f292fd229cf1fd87", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Hazard assessments", "Fault tree analysis", "Risk assessment", "Reliability calculations", "Maintainability considerations", "System safety", "Reliability engineering", "Hazard analysis", "FMEA/FMECA", "Risk mitigation", "Technical documentation", "System design", "Defence systems", "Security systems", "Civilian programs", "Military programs", "Hazard logs" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309065f292fd229c0b398a", "title" : "Engineering Manager", "company" : "ComparaJá", "industry" : "Technology", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Engineering Manager in Lisbon, Portugal, adjusted for FinTech industry and manager seniority." }, "location" : "Lisboa, Lisboa, Portugal", "locations" : [ "Lisboa", "Lisboa", "Portugal" ], "timestamp" : "2026-06-16T10:57:25.004", "fingerprint" : "67d7b3da9271d7a75628a72c2be40c07fb51784e8400959c8cb36c09cfa6aae2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/comparaja/jobs/7773334003", "externalId" : "7773334003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lisbon", "state" : "Lisboa", "country" : "Portugal", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "38.7077507,-9.1365919" } ], "locationText" : "Lisbon, Lisboa, Portugal", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "C#, Python, Nuxt/VueJS, PostgreSQL, AWS", "professionalSkills" : [ "Project management" ], "hardSkillsList" : [ "Software development", "Process optimisation" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Process optimisation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Software delivery, Team leadership, Process improvement", "majorSkillsList" : [ "Software delivery", "Team leadership", "Process improvement" ], "coreResponsibilities" : "Own delivery of high-quality software, Lead technical direction of projects, Ensure software delivered on time, Ensure software meets business requirements, Ensure adherence to performance standards, Ensure adherence to security standards, Ensure adherence to scalability standards, Optimise development processes, Review development lifecycle, Improve development lifecycle, Increase efficiency, Reduce bottlenecks, Enhance productivity, Coach developers, Mentor developers, Provide technical guidance, Provide mentorship, Provide support to development team, Foster professional growth, Foster engineering excellence, Ensure modern development standards, Promote best practices, Implement best practices, Promote CI/CD pipelines, Implement CI/CD pipelines, Promote automated testing, Implement automated testing, Promote code reviews, Implement code reviews, Promote clean coding principles, Implement clean coding principles, Collaborate with cross-functional teams, Align technical decisions with business goals, Ensure shared vision across product lifecycle, Make critical decisions around architecture, Make critical decisions around tools, Make critical decisions around frameworks, Ensure long-term scalability of codebase, Ensure maintainability of codebase, Explore new technologies, Explore new frameworks, Explore new methodologies, Rapidly prototype ideas using AI", "teamCollaboration" : "Cross-functional teams; Product managers; Designers; Stakeholders", "projectManagementSkills" : [ "Project management principles" ], "domainKnowledge" : "IT infrastructure; Architecture", "domainList" : [ "it-infrastructure", "architecture" ], "domainSpecificKnowledge" : [ "IT infrastructure", "Architecture" ], "continuousLearning" : "Knowledge sharing; Training", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Analytical mindset", "qualificationsBasic" : "Proven experience as Engineering Manager, Proven experience as Tech Lead, Proven experience as Senior Software Engineer, Experience managing development of SaaS applications, Experience managing development of cloud-based applications, Fluency in Portuguese, Fluency in English", "qualificationsPreferred" : "Experience in coaching teams, Experience in mentoring teams, Experience in AI prototyping", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Engineering Manager | ComparaJá.pt – Lisbon (Hybrid) Job Summary We are looking for a highly skilled and experienced Engineering Manager to guide our development team in delivering high-quality software. You will own the delivery process end-to-end, ensuring that our products are built to modern development standards while fostering a culture of excellence and velocity. The ideal candidate will have a strong background in software development, experience in coaching and mentoring teams, and a passion for optimising processes to drive efficiency. This is an office role based in Alvalade, Lisbon with flexibility to work remotely. Key Responsibilities Own the delivery of high-quality software: Lead the technical direction of projects, ensuring that software is delivered on time, meets business requirements, and adheres to the highest standards of performance, security, and scalability. Optimise development processes: Continuously review and improve the development lifecycle to increase efficiency, reduce bottlenecks, and enhance productivity. Coach and mentor developers: Provide hands-on technical guidance, mentorship, and support to the development team. Foster professional growth and engineering excellence through regular feedback, training, and knowledge sharing. Ensure modern development standards: Promote and implement best practices, including CI/CD pipelines, automated testing, code reviews, and clean coding principles. Collaborate with cross-functional teams: Work closely with product managers, designers, and other stakeholders to align technical decisions with business goals and ensure a shared vision across the product lifecycle. Technical leadership: Make critical decisions around architecture, tools, and frameworks, ensuring long-term scalability and maintainability of the codebase. Stay updated with industry trends: Continuously explore new technologies, frameworks, and methodologies to ensure the team is up-to-date with the latest advancements in software development. Especially concerning the ability to rapidly prototype ideas using AI. About You Proven experience as an Engineering Manager, Tech Lead, Senior Software Engineer, or similar role. Strong interpersonal skills and ability to effectively communicate with teams across the organisation. You have an analytical mindset to develop the best-fit technical solution. You have excellent leadership and decision-making skills, and knowledge of project management principles. You have an understanding of IT infrastructure, architecture, as well as a good understanding of non-technical parts of the business. You are comfortable working in an international environment. Skills Required: Experienced working through the design, development, release cycle, and delivering software products to market, with a track record of successful delivery of software applications as an individual and tech leader Experience with managing the development of SaaS and cloud-based applications Our stack is: C#, Python, Nuxt/VueJS, PostgreSQL, all on AWS. The more experience in each the better, but all definitely not necessary. Fluency in Portuguese and English is required. Why Join Us: Own the technology team. This is a great opportunity to truly own a delivery team and be responsible for a development organisation. You will be taking part in an international organisation and be able to learn from your peers in other countries and the Group CTO Competitive salary and benefits Start date: as soon as possible About Us ComparaJá.pt is a leading platform for aggregating and comparing financial products and services in Portugal. Founded in 2015 as part of Samlino Group (samlinogroup.com) we are operating across three European markets, our group empowered over 10 million users last year alone. At ComparaJá.pt, our mission is to help Portuguese consumers make informed, confident decisions across all areas of personal finance—whether banking, insurance, or utilities—by providing easy access to unbiased, accurate information and free comparisons. Our vision is to become the go-to personal finance platform for consumers, partners, media, and other stakeholders, helping people identify and choose the best solutions for their needs—saving time and money in a simple and transparent way. What We Offer ❤️ Health insurance \uD83C\uDF7D️ Meal card \uD83D\uDE89 Transport subsidy \uD83D\uDE80 Opportunity to work on meaningful projects that power internal operations \uD83E\uDD1D A supportive, fast-moving, and collaborative team environment #LI-Hybrid", "summaryDescription" : "Engineering Manager at ComparaJá. Skills: Software delivery, Team leadership, Process improvement. Own delivery of high-quality software. Lead technical direction of projects", "postedDate" : "2026-06-16T03:16:02.604", "createdAt" : "2026-06-16T03:16:02.604", "lastUpdated" : "2026-06-16T10:57:25.004", "ingestTimestamp" : "2026-06-16T03:16:02.604", "mongoId" : "6a309065f292fd229c0b398a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Software development", "Process optimisation", "Leadership", "Mentoring", "Software delivery", "Team leadership", "Process improvement", "Project management", "Project management principles", "IT infrastructure", "Architecture" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6a5674d8ee00a090b560", "title" : "Director Security Engineering", "company" : "MX Technologies, Inc.", "industry" : "FinTech", "salary" : { "min" : 225000.0, "max" : 325000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Security Engineering in Lehi, United States, adjusted for FinTech industry and company size." }, "location" : "Lehi, Utah, United States", "locations" : [ "Lehi", "Utah", "United States" ], "timestamp" : "2026-06-15T12:23:39.324", "fingerprint" : "035c644fd92e9ea5603f5bdf1465ec9a767cd438ff7b06718b30669a396bbe39", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mxtechnologiesinc/jobs/4246764009", "externalId" : "4246764009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lehi", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.3881114,-111.8486019" } ], "locationText" : "Lehi, Utah, United States", "experienceLevel" : "Director", "technicalSkills" : "Cloud security, AWS, GCP, Generative AI, GenAI, LLM security, Agentic AI, Prompt injection mitigation, CI/CD security, Runtime security", "professionalSkills" : [ "Product design reviews", "Service ownership model", "Risk management", "Compliance frameworks" ], "hardSkillsList" : [ "Threat detection", "Response program", "Security engineering", "Network security" ], "softSkillsList" : [ "Servant leader", "Forward thinking" ], "hardSkills" : [ { "name" : "Threat detection", "level" : "intermediate" }, { "name" : "Response program", "level" : "intermediate" }, { "name" : "Security engineering", "level" : "intermediate" }, { "name" : "Network security", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Servant leader" }, { "name" : "Forward thinking" } ], "majorSkills" : "Security Engineering, GenAI Security, Cloud Security, AI Security", "majorSkillsList" : [ "Security Engineering", "GenAI Security", "Cloud Security", "AI Security" ], "coreResponsibilities" : "Mature operational security capabilities, Evolve threat detection program, Drive strategic improvements, Lead day-to-day operations, Shape organization's strategic direction, Provide tactical operational support, Drive GenAI use, Secure Generative AI models, Secure related data pipelines, Secure agentic AI systems, Protect customer data, Preserve integrity of MX platform, Develop vision for Security Engineering, Develop strategy for Security Engineering, Align strategy with business objectives, Align strategy with risk appetite, Align strategy with industry best practices, Lead cybersecurity engineers, Mentor cybersecurity engineers, Develop cybersecurity engineers, Direct service ownership model, Track service effectiveness, Evaluate engineering processes, Improve engineering processes, Identify automation areas, Identify optimization areas, Identify efficiency areas, Develop policies, Maintain policies, Develop procedures, Maintain procedures, Develop standards, Maintain standards, Perform product requirements analysis, Perform design reviews, Evaluate technology, Select technology", "teamCollaboration" : "Cross functional teams; GRC teams", "projectManagementSkills" : [ "Program leadership" ], "domainKnowledge" : "Modern cloud security; Modern network security; Zero trust; Microservices security; Distributed systems; SOC 2; PCI DSS; NIST", "domainList" : [ "modern-cloud-security", "modern-network-security", "zero-trust", "microservices-security", "distributed-systems", "soc-2", "pci-dss", "nist" ], "domainSpecificKnowledge" : [ "Modern cloud security", "Modern network security", "Zero trust", "Microservices security", "Distributed systems", "SOC 2", "PCI DSS", "NIST" ], "innovationCreativity" : "Innovation encouraged", "qualificationsBasic" : "10+ years cybersecurity experience, 5+ years leadership role, 5+ years cloud security experience, 3+ years GenAI security experience", "qualificationsPreferred" : "Experience securing agentic AI systems, Understanding of modern security architecture, Experience implementing security tools, Partnering with GRC teams, Bachelor's degree, Master's degree preferred, Relevant certifications preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "MX is a fintech company on a mission to empower the world to be financially strong. We build technology that helps banks, credit unions, and fintechs deliver smarter, more intuitive financial experiences to millions of people. Like many startups, we’ve navigated real growth challenges — and we’ve come out stronger on the other side. Today, MX is in a phase of renewed momentum and scale, with a solid foundation and a clear vision for what’s next. This is a place where thoughtful execution matters, innovation is encouraged, and individuals have real ownership over their work. Our culture values curiosity, accountability, and impact. We give people the space to question assumptions, design better solutions, and help shape how the company grows. If you’re looking to do meaningful work, influence outcomes, and grow alongside a company that’s ready to move fast, you’ll feel at home at MX. As a Director of Security Engineering, you’ll work to mature our operational security capabilities, evolve our threat detection and response program, and drive strategic improvements. We’re looking for a hands-on Director of Security Engineering to join our team and help elevate our security team and program to the next level. The ideal candidate for the role will be a passionate, data driven, team-oriented, servant leader who can lead day-to-day operations, help shape the organization’s strategic direction, and, when needed, provide tactical operational support to the team. We are looking for a forward thinking leader already driving programs in: Driving the use of GenAI and Agentic AI to make Security functions more efficient and effective. Deep experience securing Generative AI (GenAI) models and related data pipelines, including prompt injection mitigation and LLM security to enable our engineering teams. Demonstrated expertise in securing agentic AI systems, focusing on runtime protection, secure communication between agents, and mitigating risks associated with autonomous operations. Strong understanding of modern cloud and network security principles, especially in AWS and GCP. In depth experience in executing and leading all Security Engineering verticals, from product design reviews to CI/CD security to runtime security. This person must be mission and values-driven, must have an ownership mentality, and must put the well-being of our customers, our teammates, and our organization at the forefront of how they operate. This person must be able to operate and thrive in a dynamic, high-growth startup environment with established Security Engineering and GRC teams. This is a critical, high-impact role that will serve as a catalyst for growth for any seasoned cybersecurity and technology leader up to the challenge. The Director of Security Engineering is the senior operational leader overseeing this critical area of the organization. This position operates within the Office of the Chief Information Security Officer (CISO) and reports directly to the CISO. The director is responsible for the daily operational leadership and management of the company’s enterprise cybersecurity, information security, and related programs. Additionally, they partner with the Director, GRC to ensure the effective governance of security risks necessary to manage organizational risk, maintain compliance with relevant frameworks and programs, implement resilient and secure IT systems, and prioritize security, privacy, and customer trust throughout the organization. Here are some of the problems you’ll help us solve: Program Leadership - Develop and refine the overall vision and strategy for the Security Engineering and Operations program, aligning it with business objectives, risk appetite, and industry best practices. Team Management - Lead, mentor, and develop a high-performing team of cybersecurity engineers, focusing on the concepts of Service Ownership.  Own and direct a service ownership model for all security services based on security design foundations. The services will be closely tracked for effectiveness using service outcome metrics, maturity metrics, and business ROI metrics. Foster a collaborative and results-oriented environment.  Assign tasks, provide feedback, and conduct performance reviews. Process Improvement - Continuously evaluate and improve engineering processes and system/control performance, identifying areas for automation, optimization, and increased efficiency.  Develop and maintain relevant policies, procedures, and standards. MX Platform oversight - Partner with cross functional teams to perform product requirements analysis and design reviews to ensure the delivery of services that protect our customers data and preserve the integrity of all MX platform processes. Technology Oversight - Evaluate, select, and implement technology solutions and tools that efficiently provide required security control capabilities, with a specific focus on robust security in AWS cloud environments.  Ensure the effective utilization of these tools and integrate them with other security systems.  Stay current with emerging security technologies and threats, including those related to GenAI and agentic AI. Reporting & Metrics - Develop and maintain key performance indicators (KPIs) and metrics to track the performance and effectiveness of security technologies and the overall security engineering program.  Provide regular reports to peers and leadership on trends, progress, risks, and overall security posture. Compliance & Audits: Partner with the Governance, Risk, and Compliance (GRC) team to strike a balance between enforcing controls and maintaining engineering velocity. Ensuring compliance with relevant security regulations and standards (e.g., PCI DSS, SOC2, & NIST).  Support internal and external audits as necessary. Collaboration & Communication - Effectively communicate information related to the security engineering program to technical and non-technical audiences. Collaborate with other security teams, IT operations, and business units. Cultivate and evangelize a culture of security across MX through training, internal communications, and stakeholder engagement, making security a shared responsibility at every level. Serve as a strategic partner to all MX business teams to drive cross-functional security initiatives, reduce technical debt, and implement pragmatic, risk-based and scalable solutions. The Team You'll Work With: You will be part of a security-minded team that believes in progress over perfection and where both security culture and mindset are key. Our team is rethinking how security operations can be accomplished in innovative ways. We focus on enabling our business to security deliver world class services while minimizing and managing risk exposure for MX and its customers. Basic Qualifications 10+ years of experience in cybersecurity, security engineering, or related fields 5+ years in a leadership role overseeing security operations or engineering teams 5+ years of hands-on experience in cloud security, particularly in AWS or GCP environments 3+ years of experience securing Generative AI (GenAI) systems, including LLM security, prompt injection mitigation, and data pipeline protection Preferred Qualifications Experience securing agentic AI systems, including runtime protection and secure agent communication Strong understanding of modern security architecture patterns, including zero trust, microservices security, and distributed systems Experience implementing and optimizing security tools and platforms across cloud environments Experience partnering with GRC teams and supporting compliance frameworks (e.g., SOC 2, PCI DSS, NIST) Bachelor’s degree in Computer Science, Cybersecurity, or related field (Master’s or relevant certifications preferred) Compensation The expected on-target earnings (OTE), which is comprised of a base salary and other forms of cash compensation, such as bonus or commissions is currently $225,600 to $283,200. This pay range is just one component of MX's total rewards package. MX takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location, skillset, peer compensation. At MX, we are a high-performance organization that thrives on trust and results. This role is based in Lehi, Utah. We believe in empowering our team members to deliver exceptional outcomes while taking advantage of our incredible office space when it best supports their work. Our Utah office features onsite perks such as company-paid meals, a sports simulator, gym, mother’s lounge, and meditation room and meaningful interactions with amazing people. We encourage team members to come together in the office to collaborate, kick off key projects, or strategize cross-functionally, fostering connection and innovation. MX is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses. All your information will be kept confidential according to EEO guidelines. You may request reasonable accommodations by sending an email to hr@mx.com.", "summaryDescription" : "Director Security Engineering at MX Technologies, Inc.. Skills: Security Engineering, GenAI Security, Cloud Security, AI Security. Mature operational security capabilities. Evolve threat detection program", "postedDate" : "2026-06-14T09:22:45.668", "createdAt" : "2026-06-14T09:22:45.668", "lastUpdated" : "2026-06-15T12:23:39.324", "ingestTimestamp" : "2026-06-14T09:22:45.668", "mongoId" : "6a2c6a5674d8ee00a090b560", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 325000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Threat detection", "Response program", "Security engineering", "Network security", "Servant leader", "Forward thinking", "Security Engineering", "GenAI Security", "Cloud Security", "AI Security", "Product design reviews", "Service ownership model", "Risk management", "Compliance frameworks", "Program leadership", "Modern cloud security", "Modern network security", "Zero trust", "Microservices security", "Distributed systems", "SOC 2", "PCI DSS", "NIST" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c6c6d74d8ee00a0918b2f", "title" : "Sr. Director, Engineering", "company" : "Hanwha Energy USA", "industry" : "Climate Tech", "salary" : { "min" : 190000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Houston, Texas, United States", "locations" : [ "Houston", "Texas", "United States" ], "certifications" : [ "Professional Engineer (PE)" ], "timestamp" : "2026-06-15T09:38:49.188", "fingerprint" : "ff72ca60164f84819810d56ae4d5c5ed0d0d925bcbad46ee093ffc46ceb54c55", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hanwhaenergyusa/jobs/4178906009", "externalId" : "4178906009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Power systems, Electrical engineering, Mechanical engineering, Data centers, Hydrogen facilities, Distributed energy systems, Renewable energy, Solar, Battery storage, Natural gas generation, Energy markets", "professionalSkills" : [ "Technical evaluation", "Conceptual design", "Equipment assessment", "Asset acquisition", "Design optimization", "Stakeholder engagement", "Technical reporting", "Investment cases", "Regulatory submissions" ], "hardSkillsList" : [ "Engineering design", "Cost analysis", "Financial analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Engineering design", "level" : "intermediate" }, { "name" : "Cost analysis", "level" : "intermediate" }, { "name" : "Financial analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Power plant design, Data center solutions, Energy systems", "majorSkillsList" : [ "Power plant design", "Data center solutions", "Energy systems" ], "coreResponsibilities" : "Lead technical evaluations, Evaluate new power plants, Perform conceptual design, Assess equipment, Acquire assets, Drive design optimization, Optimize distributed energy systems, Develop solutions for data centers, Develop solutions for hydrogen facilities, Develop solutions for C&I", "teamCollaboration" : "Stakeholder engagement", "projectManagementSkills" : [ "Project financing" ], "domainKnowledge" : "Utility-scale energy projects; Energy value chain; Data center development; Hyperscaler solutions; Solar energy; Battery energy storage; Retail electricity services; Natural gas generation; Distributed energy systems", "domainList" : [ "utility-scale-energy-projects", "energy-value-chain", "data-center-development", "hyperscaler-solutions", "solar-energy", "battery-energy-storage", "retail-electricity-services", "natural-gas-generation", "distributed-energy-systems" ], "domainSpecificKnowledge" : [ "Utility-scale energy projects", "Energy value chain", "Data center development", "Hyperscaler solutions", "Solar energy", "Battery energy storage", "Retail electricity services", "Natural gas generation", "Distributed energy systems" ], "communicationSkills" : "Technical reports; Investment cases; Regulatory submissions", "documentationSkills" : "Technical reports", "problemSolvingSkills" : "Technical evaluation; Design optimization", "qualificationsBasic" : "Licensed Professional Engineer (PE), Advanced engineering degree", "qualificationsPreferred" : "Experience with Tier-1 firms, Negotiate PPAs, Negotiate vendor contracts, Negotiate supplier agreements, Project financing expertise, Cost analysis expertise", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "COMPANY OVERVIEW Hanwha Energy USA, headquartered in Houston, Texas, is part of the Hanwha Group—a FORTUNE Global 300 company and one of South Korea’s most respected business enterprises. With over a decade of experience delivering high-quality, utility-scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider. Our portfolio now spans utility-scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America’s growing data center industry. Our expertise covers the entire energy value chain—from project development and engineering to construction, operations, and maintenance. By integrating advanced technologies, proven processes, and strong partnerships, we deliver reliable, customized solutions that meet the dynamic needs of local energy markets. Hanwha Energy USA is actively advancing strategic initiatives in natural gas generation and data center development, including hyperscaler solutions on both sides of the meter. We are proud to serve as the parent company of: Hanwha Renewables – specializing in utility-scale solar and battery energy storage systems (BESS) Chariot Energy – providing retail electricity services for residential, commercial, and industrial customers in deregulated markets POSITION OVERVIEW We are seeking a Sr. Director, Engineering to lead technical evaluations of new power plants—including conceptual design, equipment assessment, and asset acquisition—while driving the design and optimization of distributed energy systems for data centers, hydrogen facilities, and commercial/industrial (C Licensed Professional Engineer (PE) or advanced engineering degree preferred. Experience working with Tier-1 firms such as GHD, GE, Baker Hughes, AlphaStruxure, Eaton, or similar. Proven ability to negotiate PPAs, vendor contracts, and supplier agreements, alongside project financing and cost analysis expertise. Excellent communication and stakeholder engagement skills, with experience preparing technical reports, investment cases, and regulatory submissions. COMPENSATION: $190,000 - $250,000 salary Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates. Hanwha Energy provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. www.174powerglobal.com.", "summaryDescription" : "Sr. Director, Engineering at Hanwha Energy USA. Skills: Power plant design, Data center solutions, Energy systems. Lead technical evaluations. Evaluate new power plants", "postedDate" : "2026-06-14T04:17:41.277", "createdAt" : "2026-06-14T04:17:41.277", "lastUpdated" : "2026-06-15T09:38:49.188", "ingestTimestamp" : "2026-06-14T04:17:41.277", "mongoId" : "6a2c6c6d74d8ee00a0918b2f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Engineering design", "Cost analysis", "Financial analysis", "Leadership", "Power plant design", "Data center solutions", "Energy systems", "Technical evaluation", "Conceptual design", "Equipment assessment", "Asset acquisition", "Design optimization", "Stakeholder engagement", "Technical reporting", "Investment cases", "Regulatory submissions", "Project financing", "Utility-scale energy projects", "Energy value chain", "Data center development", "Hyperscaler solutions", "Solar energy", "Battery energy storage", "Retail electricity services", "Natural gas generation", "Distributed energy systems", "Professional Engineer (PE)" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c799174d8ee00a0941e6b", "title" : "Senior Director, Software Engineering", "company" : "Fanatics Collectibles", "industry" : "E-Commerce", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Mexico City, adjusted for Director seniority in the E-commerce industry for a full-time role." }, "location" : "Mexico City, Mexico City, Mexico", "locations" : [ "Mexico City", "Mexico City", "Mexico" ], "timestamp" : "2026-06-16T00:24:34.293", "fingerprint" : "c9b10d52c74641d5ca7fb736dbd5f64114fd9ae859638ff67dada5a1a27276c6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticscollectibles/jobs/4271424009", "externalId" : "4271424009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mexico City", "state" : "Mexico City", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "19.4326296,-99.1331785" } ], "locationText" : "Mexico City, Mexico City, Mexico", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Software Engineering, DevOps, Cloud, AI/ML, Data Engineering, Security", "professionalSkills" : [ "System design", "Roadmap alignment", "Team structure definition", "Talent acquisition", "System implementation", "Best practices establishment", "Delivery cadence definition", "Incident response", "Career development", "Authorization rate driving", "Chargeback reduction", "Ecosystem health protection", "Warehouse innovation enablement", "Ingestion system development", "Robotics capability development", "Relationship building", "Talent attraction" ], "hardSkillsList" : [ "Payments processing", "Warehouse management", "Logistics technology", "Identity management", "Fraud detection", "Risk platforms" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Payments processing", "level" : "intermediate" }, { "name" : "Warehouse management", "level" : "intermediate" }, { "name" : "Logistics technology", "level" : "intermediate" }, { "name" : "Identity management", "level" : "intermediate" }, { "name" : "Fraud detection", "level" : "intermediate" }, { "name" : "Risk platforms", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "E-commerce operations, Technology leadership, Team building", "majorSkillsList" : [ "E-commerce operations", "Technology leadership", "Team building" ], "coreResponsibilities" : "Build organization and culture, Define operating model, Own technology decisions, Own infrastructure decisions, Partner with US engineering leaders, Partner with US product leaders, Partner with US talent acquisition leaders, Partner with US operations leaders, Align roadmaps, Define team structures, Hire top talent, Stand-up mission-critical systems, Own scalable infrastructure, Manage Payments systems, Manage Warehouse Technology systems, Manage Transportation systems, Manage Customer Experience Technology systems, Manage Identity systems, Manage Trust & Safety systems, Establish engineering best practices, Establish delivery cadences, Establish incident response protocols, Establish career development frameworks, Drive authorization rates, Reduce chargebacks, Protect ecosystem health, Enable warehouse innovation, Enable fulfillment innovation, Rollout WMS, Develop raw card ingestion systems, Develop large-scale scanning capabilities, Develop robotics capabilities, Represent Fanatics in Mexico City, Build local tech community relationships, Engage in broader engineering ecosystem, Attract top talent to hub", "teamCollaboration" : "US-based engineering leaders; US-based product leaders; US-based talent acquisition leaders; US-based operations leaders; Local tech community", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "E-commerce; Payments processing; Warehouse management systems; Logistics technology; Identity management; Trust and safety systems; Fraud detection; Risk platforms; Sports collectibles; Digital sports platform; Sportsbook; iGaming platform", "domainList" : [ "e-commerce", "payments-processing", "warehouse-management-systems", "logistics-technology", "identity-management", "trust-and-safety-systems", "fraud-detection", "risk-platforms", "sports-collectibles", "digital-sports-platform", "sportsbook", "igaming-platform" ], "domainSpecificKnowledge" : [ "E-commerce", "Payments processing", "Warehouse management systems", "Logistics technology", "Identity management", "Trust and safety systems", "Fraud detection", "Risk platforms", "Sports collectibles", "Digital sports platform", "Sportsbook", "iGaming platform" ], "communicationSkills" : "Technical roadmaps", "innovationCreativity" : "Culture of innovation", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Drive authorization rates; Reduce chargebacks; Protect ecosystem health", "qualificationsBasic" : "10+ years engineering experience, 7+ years people management experience, 5+ years e-commerce operations technology, Expertise in payments processing, Expertise in warehouse management systems, Expertise in logistics technology, Expertise in identity systems, Expertise in trust & safety systems, Experience attracting senior engineers, Experience retaining senior engineers, Experience developing senior engineers", "qualificationsPreferred" : "Experience in multinational tech companies, Experience in US-headquartered tech companies, Experience in US-scale technology companies, Experience creating communication strategies, Cross-functional collaboration skills, Creating structure out of ambiguity, Bringing technical visions to life, Business fluency in English", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. Senior Director, Software Engineering At Fanatics Collectibles, you’re not inheriting someone else’s playbook, you’re writing it; a greenfield mandate with full executive support and a clear remit to build. Our operational systems power real commerce via real payments, real fulfillment, real users, and real stakes. As a Senior Director, Software Engineering, you will be the founding leader for Fanatics Collectibles in Mexico City to build a multi-disciplinary tech hub of 50+ engineers with a startup energy, enterprise-grade complexity, and with the resources to move fast. The Team Fanatics Collectibles is building the infrastructure of a new category, the unified collector operating system. Powering that infrastructure requires world-class Services and Operational Systems including the payment rails that move money, the warehouse platforms that move card production, and the trust and safety systems that protect every transaction. To achieve this at scale, we are establishing an engineering hub in Mexico City that will have full ownership of systems that run a global, real-time commerce platform. About You If you’re a builder, passionate about creating a culture of innovation and leading multi-disciplinary engineering teams, this role is for you. A founding leader who has experience operating within multinational or US-based tech companies. You understand e-commerce at scale: the payments layer, the fulfillment layer, the trust layer. You’re energized by the prospect of building, leading, and scaling an agile tech hub from scratch. Role Summary The Senior Director, Software Engineering you will balance a dual mandated role as the hub leader and engineering leader. You will be responsible for leading Services and Operational Systems engineering teams that deliver world-class outcomes across Payments, Warehouse Technology, and Trust and Safety. As the Senior Director, Software Engineering, you will… Build the organization and culture, define the operating model, and own technology and infrastructure decisions to position Mexico City as a center of excellence within Fanatics’ global engineering organization Partner directly with US-based engineering, product, talent acquisition, and operations leaders to align roadmaps, define team structures, hire top talent, and stand-up systems that are mission-critical to the business Own scalable infrastructure across the full commerce lifecycle for Services and Operational Systems engineering including Payments, Warehouse Technology, Transportation, Customer Experience Technology, Identity, and Trust & Safety systems Establish engineering best practices, delivery cadences, incident response protocols, and career development frameworks Partner with Finance and Trust & Safety to drive authorization rates, reduce chargebacks, and protect the health of the ecosystem Enable warehouse and fulfillment innovation via WMS rollout, raw card ingestion systems, and large-scale scanning and robotics capabilities Represent Fanatics in Mexico City by building relationships in the local tech community, engage in the broader engineering ecosystem, and attracting top talent to the hub Basic Qualifications 10+ years of engineering experience 7+ years of people management experience, specifically building and leading high-performing, multi-disciplinary engineering teams 5+ years of experience in e-commerce operations technology (payments processing, warehouse management systems, logistics technology, identity, and trust & safety systems Expertise in at least one operational systems domain across payments (auth rates, fraud, BNPLs, payout systems), warehouse and logistics technology (WMS, fulfillment operations), or trust & safety (fraud detection, identity verification, risk platforms) Experience attracting, retaining, and developing senior engineers in a competitive LATAM market Preferred Qualifications Experience working in multinational, US-headquartered, or US-scale technology companies Experience creating communication strategies and strong cross-functional collaboration skills to partner with stakeholders and to translate business requirements into technical roadmaps Proven track record of creating structure out of ambiguity and bringing technical visions to life Business fluency in English Based in Mexico City or open to relocating. This is an onsite leadership role Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Senior Director, Software Engineering at Fanatics Collectibles. Skills: E-commerce operations, Technology leadership, Team building. Build organization and culture. Define operating model", "postedDate" : "2026-06-14T20:01:32.006", "createdAt" : "2026-06-14T20:01:32.006", "lastUpdated" : "2026-06-16T00:24:34.293", "ingestTimestamp" : "2026-06-14T20:01:32.006", "mongoId" : "6a2c799174d8ee00a0941e6b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Payments processing", "Warehouse management", "Logistics technology", "Identity management", "Fraud detection", "Risk platforms", "Leadership", "E-commerce operations", "Technology leadership", "Team building", "System design", "Roadmap alignment", "Team structure definition", "Talent acquisition", "System implementation", "Best practices establishment", "Delivery cadence definition", "Incident response", "Career development", "Authorization rate driving", "Chargeback reduction", "Ecosystem health protection", "Warehouse innovation enablement", "Ingestion system development", "Robotics capability development", "Relationship building", "Talent attraction", "Agile", "E-commerce", "Warehouse management systems", "Trust and safety systems", "Sports collectibles", "Digital sports platform", "Sportsbook", "iGaming platform" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3051cbf292fd229cf06cee", "title" : "Engineering Manager", "company" : "SumUp", "industry" : "FinTech", "salary" : { "min" : 260000.0, "max" : 400000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Engineering Manager in São Paulo, Brazil, adjusted for FinTech industry and manager seniority." }, "location" : "São Paulo, Brazil", "locations" : [ "São Paulo", "Brazil" ], "timestamp" : "2026-06-16T09:00:34.003", "fingerprint" : "6934448ed7bf4c766500abfc010ca80412753e74ad67d8a492dd0134b66e2d1d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://sumup.com/careers/positions/8590360002?gh_jid=8590360002", "externalId" : "8590360002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "São Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "PostgreSQL, DynamoDB, Redis, SNS, SQS, RabbitMQ, Kafka, AWS, Microservices, Containers, Orchestration, Golang, Kotlin, Python, Elixir", "professionalSkills" : [ "System design", "Architecture discussions", "Code reviews", "Technical deep dives" ], "hardSkillsList" : [ "Backend development", "Cloud architecture", "Database management", "Queue management", "Streaming data" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Backend development", "level" : "intermediate" }, { "name" : "Cloud architecture", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Queue management", "level" : "intermediate" }, { "name" : "Streaming data", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Team leadership, Backend engineering, Cloud infrastructure, System architecture", "majorSkillsList" : [ "Team leadership", "Backend engineering", "Cloud infrastructure", "System architecture" ], "coreResponsibilities" : "Lead two squads of engineers, Oversee development of banking services, Improve reliability and scalability, Establish clear ownership and accountability, Ensure engineer understands impact, Work with Product Manager to define OKRs, Navigate cross-tribe dependencies, Align roadmap with business goals, Participate in technical decisions, Conduct code reviews, Define standards for operational excellence, Spearhead migration to global architecture, Ensure technology scales internationally, Guarantee product quality, Foster culture of continuous improvement", "teamCollaboration" : "Cross-functional squads; Cross-tribe dependencies; International teams", "projectManagementSkills" : [ "OKRs", "Roadmap planning" ], "domainKnowledge" : "Banking; Payments infrastructure; Fintech; Distributed systems; Cloud-native technologies; Relational databases; NoSQL databases; Queues; Streaming; Cloud platforms; Microservices; Containers; Orchestration", "domainList" : [ "banking", "payments-infrastructure", "fintech", "distributed-systems", "cloud-native-technologies", "relational-databases", "nosql-databases", "queues", "streaming", "cloud-platforms", "microservices", "containers", "orchestration" ], "domainSpecificKnowledge" : [ "Banking", "Payments infrastructure", "Fintech", "Distributed systems", "Cloud-native technologies", "Relational databases", "NoSQL databases", "Queues", "Streaming", "Cloud platforms", "Microservices", "Containers", "Orchestration" ], "toolProficiency" : [ "PostgreSQL", "DynamoDB", "Redis", "SNS", "SQS", "RabbitMQ", "Kafka", "AWS" ], "communicationSkills" : "Written communication; Spoken communication", "continuousLearning" : "Courses; Certifications; Conferences", "problemSolvingSkills" : "Technical debt management; Operational excellence", "outcomesObjectives" : "Build digital bank; Scale high-availability systems; Handle millions of transactions; Achieve peak performance goals; Ensure technology scales internationally", "qualificationsBasic" : "2+ years leading engineers, 5+ years backend experience, Experience with relational databases, Experience with NoSQL databases, Experience with queues, AWS or comparable cloud experience, Experience with modern cloud-native backend technologies, Advanced English proficiency", "qualificationsPreferred" : "3+ years leading engineers, Experience with streaming, Longer tenures in leadership roles (18+ months)", "workSiteFlexibility" : "Flexible", "rawDescription" : "At SumUp, we believe small merchants are the heartbeat of our communities. By joining the Global Bank tribe, you'll be part of a global team across Berlin, Cologne, São Paulo, Santiago, Sofia, and Vilnius — all working together to build the #1 bank for small businesses worldwide. As a key member of our Engineering tribe, you’ll help build a digital bank from the ground up within one of the world's fastest-growing fintechs. You'll work in autonomous, cross-functional squads tackling complex, high-impact challenges across banking and payments infrastructure, with the freedom to take ownership, experiment, and make real architectural decisions. Here, the problems are hard, the scale is real, and the work you ship directly shapes the financial lives of millions of small business owners around the world. As an Engineering Manager, you will navigate the complexities of scaling high-availability systems that handle millions of transactions while steering your teams through a high-impact transition from local solutions to a unified global architecture. If you are driven by the challenge of turning technical debt into operational excellence and building the \"number one bank\" for small businesses, this is your next chapter. What You’ll Do Lead at Scale: Direct two high-performing squads of 4 to 7 engineers each, focusing on building trust and autonomy within a newly formed team. You will oversee the development of critical banking services where improving reliability and scalability is a constant priority. Establish Ownership: Actively establish clear ownership and accountability across your squads, ensuring every engineer understands their impact on the platform's availability and peak performance goals. Strategic Partnership: Work in close collaboration with the Product Manager to define OKRs and navigate complex cross-tribe dependencies, ensuring the roadmap and deliveries are perfectly aligned with business goals. Technical Excellence: Actively participate in technical decisions, conduct code reviews, and define standards for operational excellence to ensure a top-tier merchant experience. Global Convergence: Spearhead the migration and convergence of our local Brazilian platforms into a global architecture, ensuring our technology scales with our international ambitions and impacts millions of users worldwide. Quality & Culture: Guarantee product quality with a steadfast focus on engineering best practices (Clean Code, Testing, CI/CD) and fostering a culture of continuous improvement. What Makes You a Great Fit 2+ years leading a team of 2–6 engineers as an Engineering Manager (3+ preferred) Previously worked as a Senior Engineer with 5+ years of hands-on backend experience Comfortable being hands-on when needed (architecture discussions, code reviews, technical deep dives) Experience leading medium-to-complex projects across multiple squads or domains Strong experience with relational databases (PostgreSQL) and NoSQL (DynamoDB, Redis) Experience with queues (SNS/SQS, RabbitMQ) and preferably streaming (Kafka) AWS or comparable cloud experience Experience with modern cloud-native backend technologies (microservices, containers, orchestration) Advanced English proficiency (written and spoken) Nice to Have Experience in financial services or payments Experience with Golang, Kotlin, Python, or Elixir Familiarity with distributed systems and resilience patterns Longer tenures in previous leadership roles (18+ months) Why You Should Join SumUp \uD83D\uDCC8 High Impact: Lead one of Brazil’s most strategic payment domains used daily by millions of merchants. \uD83E\uDDE0 Technical Growth: Act as the technical reference for the squad and grow toward Staff Engineer or senior EM leadership. \uD83C\uDF0D Global Exposure: Collaborate with international teams and senior engineering leaders across Europe and Brazil. \uD83D\uDCDA Learning & Development: Annual budget of R$ 10,000 for courses, certifications, and conferences. \uD83D\uDCB8 Virtual Stock Program: Grow with SumUp and share in our success. \uD83C\uDF34 Break4Me Program: 30 additional days off after 3 years. \uD83D\uDC99 Comprehensive Benefits: Health plan, VR, Wellhub, Zenklub, life insurance, childcare allowance, and more. About SumUp Be empowered to do more that matters. At SumUp, we're on a mission to empower small businesses across the globe by providing simple and affordable tools that allow them to thrive. Today, over 4 million businesses in 37 markets rely on SumUp as their financial partner to manage payments, finance and customer relationships. Our commitment to small businesses is reflected in our diverse team of over 3,000 SumUppers from over 90 nationalities, united by global collaboration and an innovative mindset. Our core values lay the foundation for who we are and what we stand for, shaping our work culture and driving our success. We foster inclusivity and a continuous learning culture, providing a safe space for personal and professional growth. Our differences make us unique and strong as we strive to create an environment where everyone belongs and feels supported, no matter how they identify. SumUp is proud to be an Equal Employment Opportunity employer, actively seeking and embracing diversity in our workforce. We don't make hiring or employment decisions based on race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. Our commitment extends beyond recruitment to creating a safe and respectful workplace where harassment of any form is strictly prohibited. Discover more about our culture and opportunities on our careers website, and follow our journey on LinkedIn, Instagram, and TikTok. Job Application Tip We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.", "summaryDescription" : "Engineering Manager at SumUp. Skills: Team leadership, Backend engineering, Cloud infrastructure, System architecture. Lead two squads of engineers. 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Experience in integrated engineering and design environments focused on delivering coordinated, high-performance solutions across complex building and infrastructure projects." ], "softSkillsList" : [ "leadership skills" ], "softSkills" : [ { "name" : "leadership skills" } ], "majorSkills" : "client engagement, project delivery, market growth strategy, client relationships, program management", "majorSkillsList" : [ "client engagement, project delivery, market growth strategy, client relationships, program management" ], "coreResponsibilities" : "Driving strategic growth within a key market sector, serving as a subject matter expert in client engagement, procurement processes, and project delivery frameworks for large-scale engineering and design programs. Collaborating with firm leadership, business development teams, and technical discipline leaders to develop and execute a market growth strategy. Leading pursuits, supporting contract onboarding, overseeing project execution at a program level, and maintaining strong client relationships. Serving as a key connector between clients and internal project teams, ensuring alignment between scope, schedule, budget, and client satisfaction.", "teamCollaboration" : "The organization emphasizes collaboration, interdisciplinary teamwork, and shared accountability across all phases of project delivery. DLR Group's teams champion true collaboration, open information sharing, shared risk and reward, value-based decision making, and proficient use of technology.", "projectManagementSkills" : [ "project management" ], "communicationSkills" : "communication skills", "continuousLearning" : "Pursuing the goals of the 2030 Challenge, the ME2040, and the SE2050, and are an initial signatory of the China Accord and the AIA 2030 Commitment.", "problemSolvingSkills" : "system design", "specialRequirements" : "DLR Group follows a four-day in-office work model, with employees having the flexibility to work somewhere other than the office on Fridays. We are proud to be an Equal Opportunity/Affirmative Action/M/F/Veteran/Disabled employer.", "outcomesObjectives" : "Establish annual business goals, strategies, and execution plans. Develop and expand client relationships and identify new business opportunities. Achieve annual revenue, growth, and profitability targets for assigned market sector.", "qualificationsBasic" : "Bachelor’s degree in Engineering, Architecture, Construction Management, or related field. 8–10+ years of experience in client-facing roles within engineering, architecture, or construction industries. Demonstrated experience working in matrixed, multidisciplinary organizations. Communication, organizational, and leadership skills. Experience managing multiple clients and complex project portfolios simultaneously.", "qualificationsPreferred" : "Proven success developing and executing market or client growth strategies. Established client relationships within relevant public or private sector markets. Experience managing large programs, multi-project portfolios, or framework agreements. Experience with complex, multi-stakeholder delivery environments. Active participation in relevant professional industry organizations.", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "DLR Group is an integrated design firm with a promise to elevate the human experience through design. This fuels the work we do around the world and inspires our mission to improve the lives of our clients, our communities, and our planet. If this sparks your interest, you’re in the right place. DLR Group has an opening for an Energy Services Leader. Position Summary As an Energy Services Leader, you will be responsible for driving strategic growth within a key market sector and serving as a subject matter expert in client engagement, procurement processes, and project delivery frameworks relevant to large-scale engineering and design programs. You will collaborate closely with firm leadership, business development teams, and technical discipline leaders to develop and execute a market growth strategy. This role includes leading pursuits, supporting contract onboarding, overseeing project execution at a program level, and maintaining strong, long-term client relationships. You will also serve as a key connector between clients and internal project teams, ensuring alignment between scope, schedule, budget, and overall client satisfaction. This role sits within an integrated engineering and design environment focused on delivering coordinated, high-performance solutions across complex building and infrastructure projects. The organization emphasizes collaboration, interdisciplinary teamwork, and shared accountability across all phases of project delivery—from strategy and pursuit through execution and closeout. The successful candidate will Establish annual business goals, strategies, and execution plans in collaboration with leadership and regional teams Develop and expand client relationships and identify new business opportunities in energy services Lead and support major project pursuits, including proposal development and interview preparation Assist onboarding of new contracts and contract vehicles, and support ongoing program delivery Monitor client satisfaction and overall project performance across active engagements Collaborate with project managers and discipline leads to ensure financial health and successful project execution Identify and pursue strategic partnerships, joint ventures, and teaming opportunities Represent the firm in industry events, client meetings, interviews, and business development activities Contribute to thought leadership through presentations, publications, and internal knowledge sharing Support internal communications and updates regarding market activities and client engagement Maintain awareness of cross-disciplinary coordination requirements across engineering and design teams Achieve annual revenue, growth, and profitability targets for assigned market sector Required Qualifications Bachelor’s degree in Engineering, Architecture, Construction Management, or related field 8–10+ years of experience in client-facing roles within engineering, architecture, or construction industries Strong understanding of large-scale project delivery processes and procurement frameworks Demonstrated experience working in matrixed, multidisciplinary organizations Strong communication, organizational, and leadership skills Experience managing multiple clients and complex project portfolios simultaneously Preferred Qualifications Proven success developing and executing market or client growth strategies Established client relationships within relevant public or private sector markets Experience managing large programs, multi-project portfolios, or framework agreements Experience with complex, multi-stakeholder delivery environments Active participation in relevant professional industry organizations DLR Group is an integrated design firm delivering architecture, engineering, interiors, planning, and building optimization for new builds, renovations, and adaptive reuse projects. We are 100% employee-owned: every employee is literally invested in our clients’ success. At the core of our firm are interdisciplinary teams engaged in every step of project lifecycles. Our teams champion true collaboration, open information sharing, shared risk and reward, value-based decision making, and proficient use of technology to deliver exceptional design. We are pursuing the goals of the 2030 Challenge, the ME2040, and the SE2050, and are an initial signatory of the China Accord and the AIA 2030 Commitment. Through our values – commitment, creativity, environmental stewardship, fun, integrity, ownership, sharing, teamwork – we elevate the human experience through design, together. DLR Group follows a four-day in-office work model, with employees having the flexibility to work somewhere other than the office on Fridays. We are proud to be an Equal Opportunity/Affirmative Action/M/F/Veteran/Disabled employer.", "summaryDescription" : "Energy Services Leader at DLR Group. Skills: client engagement, project delivery, market growth strategy, client relationships, program management. Driving strategic growth within a key market sector, serving as a subject matter expert in client engagement, procurement processes, and project delivery frameworks for large-scale engineering and design programs. 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This position will also support the continued career development of our delivery staff and closely collaborate with HDR’s Professional Services Directors to implement the various Business Groups’ technical, career growth and quality initiatives. In addition to your primary responsibilities as summarized below, the individual will be responsible for collaborating on technical delivery for cross-business group opportunities. The role also plays an important part in recruiting efforts aimed at attracting and retaining eminent talent for our programs across the organization. In the role of South Central Building Engineering Services Field Services Lead, we'll count on you to: Drive Construction Field Services growth within your region Balance workload, staffing and utilization for Construction Field Services staff in your region Participate in regional business class strategic planning, budgeting and plan implementation Grow, develop and mentor our Field Office Principals and support the growth of our future leaders within Construction Field Services Collaborating closely with Construction Field Services business group leads and other Regional Business Class Leads to form a partnership that is focused on successfully pursuing and delivering CFS services to our clients. Assist in the development and progression of Construction Field Services strategic partnerships. Take responsibility for area coordination, monitoring and improvement of technical competencies of business class staff and products to meet client needs and market drivers, all within direction and goals of business class plans Collaborate on business class efforts with area operations, marketing and project management Participate in business class practice and professional discipline groups, project teams and activities to continually improve standards and best practices Provide technical oversight and support staff resources across projects. Participate in project reviews with a focus on deliverables, risk identification and management of resources Monitoring performance of staff and projects, assistance in implementing measures to drive successful project performance and support in maintaining positive client relations. 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This position will also support the continued career development of our delivery staff and closely collaborate with HDR’s Professional Services Directors to implement the various Business Groups’ technical, career growth and quality initiatives. In addition to your primary responsibilities as summarized below, the individual will be responsible for collaborating on technical delivery for cross-business group opportunities. The role also plays an important part in recruiting efforts aimed at attracting and retaining eminent talent for our programs across the organization. In the role of South Central Building Engineering Services Field Services Lead, we'll count on you to: Drive Construction Field Services growth within your region Balance workload, staffing and utilization for Construction Field Services staff in your region Participate in regional business class strategic planning, budgeting and plan implementation Grow, develop and mentor our Field Office Principals and support the growth of our future leaders within Construction Field Services Collaborating closely with Construction Field Services business group leads and other Regional Business Class Leads to form a partnership that is focused on successfully pursuing and delivering CFS services to our clients. Assist in the development and progression of Construction Field Services strategic partnerships. Take responsibility for area coordination, monitoring and improvement of technical competencies of business class staff and products to meet client needs and market drivers, all within direction and goals of business class plans Collaborate on business class efforts with area operations, marketing and project management Participate in business class practice and professional discipline groups, project teams and activities to continually improve standards and best practices Provide technical oversight and support staff resources across projects. Participate in project reviews with a focus on deliverables, risk identification and management of resources Monitoring performance of staff and projects, assistance in implementing measures to drive successful project performance and support in maintaining positive client relations. 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This position will also support the continued career development of our delivery staff and closely collaborate with HDR’s Professional Services Directors to implement the various Business Groups’ technical, career growth and quality initiatives. In addition to your primary responsibilities as summarized below, the individual will be responsible for collaborating on technical delivery for cross-business group opportunities. The role also plays an important part in recruiting efforts aimed at attracting and retaining eminent talent for our programs across the organization. In the role of South Central Building Engineering Services Field Services Lead, we'll count on you to: Drive Construction Field Services growth within your region Balance workload, staffing and utilization for Construction Field Services staff in your region Participate in regional business class strategic planning, budgeting and plan implementation Grow, develop and mentor our Field Office Principals and support the growth of our future leaders within Construction Field Services Collaborating closely with Construction Field Services business group leads and other Regional Business Class Leads to form a partnership that is focused on successfully pursuing and delivering CFS services to our clients. Assist in the development and progression of Construction Field Services strategic partnerships. Take responsibility for area coordination, monitoring and improvement of technical competencies of business class staff and products to meet client needs and market drivers, all within direction and goals of business class plans Collaborate on business class efforts with area operations, marketing and project management Participate in business class practice and professional discipline groups, project teams and activities to continually improve standards and best practices Provide technical oversight and support staff resources across projects. Participate in project reviews with a focus on deliverables, risk identification and management of resources Monitoring performance of staff and projects, assistance in implementing measures to drive successful project performance and support in maintaining positive client relations. Lead implementation of technical and digital delivery evolution in collaboration with business group CFS leaders Coordinate business processes with the Construction Field Services leadership team consistent with corporate policy, and HDR’s matrix of authority (MOA) Implement quality, standards, and best practices in Construction Field Services projects in alignment with the Quality Management System. Support the technical learning path development and mentoring Support career path development for Construction Field Services delivery staff. Travel up to 50% Preferred Qualifications Actively engaged in professional or industry associations to enhance HDR technical expertise and brand 15 or more years construction experience Previous experience managing construction management or CEI teams across various geographies Travel required up to 50% ", "summaryDescription" : "South Central Building Engineering Services Field Services Lead at HDR. Skills: Construction Field Services. Drive Construction Field Services growth. 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