{ "count" : 74726, "data" : [ { "id" : "6a306724f292fd229cfb9ac9", "title" : "Evidence and Insights Manager", "company" : "Girl Effect", "industry" : "Media", "salary" : { "min" : 3800000.0, "max" : 6500000.0, "currency" : "KES", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Evidence and Insights Manager in Kenya, adjusted for the non-profit industry and contract employment type." }, "location" : "Kenya", "locations" : [ "Kenya" ], "timestamp" : "2026-06-16T06:58:42.744", "fingerprint" : "fe282112e60fdd0b35eb9991d7b1a64b9dc9a306eafa3ea496f05e08adbd32f2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/girleffect/jobs/8591795002", "externalId" : "8591795002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Kenya", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Kenya", "employmentType" : "CONTRACT", "experienceMinYears" : 4, "experienceLevel" : "Manager", "professionalSkills" : [ "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Data analysis", "Reporting", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management" ], "hardSkillsList" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting" ], "softSkillsList" : [ "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring" ], "hardSkills" : [ { "name" : "Qualitative analysis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Digital data analysis", "level" : "intermediate" }, { "name" : "Research methods", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Negotiation" }, { "name" : "Conflict resolution" }, { "name" : "Public speaking" }, { "name" : "Critical thinking" }, { "name" : "Mentoring" } ], "majorSkills" : "Applied research, Monitoring and evaluation, Data analysis, Reporting", "majorSkillsList" : [ "Applied research", "Monitoring and evaluation", "Data analysis", "Reporting" ], "coreResponsibilities" : "Write requests for proposals, Write Terms of Reference, Review research tools, Advise on sampling strategies, Advise on methodologies, Review analysis, Review reporting, Support quality assurance during fieldwork, Conduct on-site visits, Provide technical expertise to research projects, Provide technical expertise to M&E projects, Advise on fit-for-purpose designs, Suggest qualitative methodologies, Suggest quantitative methodologies, Suggest other research approaches, Ensure ethical standards are upheld, Ensure safeguarding standards are upheld, Ensure field implementation is conducted to high standards, Train field research partners, Oversee field research partners, Ensure research outputs are accessible, Ensure research outputs are understandable, Ensure research outputs are useful, Utilise research outputs, Develop research partnerships, Maximise opportunities for cost-sharing, Maximise opportunities for joint learning, Deliver other duties relevant to position", "teamCollaboration" : "Work across functions; Work across countries; Work alongside global MERL team", "projectManagementSkills" : [ "Project management", "Research processes", "Research timelines" ], "domainKnowledge" : "Gender; Sexual reproductive health; Mental health; Economic empowerment", "domainList" : [ "gender", "sexual-reproductive-health", "mental-health", "economic-empowerment" ], "domainSpecificKnowledge" : [ "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "communicationSkills" : "Knowledge management communication; Engaging reports; Research outputs communication", "documentationSkills" : "Reporting; Research outputs", "innovationCreativity" : "Creative mindset", "problemSolvingSkills" : "Uncovering new insights; Translating insights", "specialRequirements" : "12 month contract basis", "qualificationsBasic" : "Minimum 5 years applied research, Minimum 4 years M&E experience, Postgraduate degree in relevant field, SQL proficiency, Qualitative and quantitative research design, Fieldwork experience, Data analysis experience, Reporting experience, Commissioning research agencies, Managing research agencies, Qualitative data analysis, Quantitative data analysis, Digital adaptations data analysis, Uncovering new insights, Translating insights into reports, Strategic planning experience, Knowledge management experience, Communication skills, Organisation skills, Project management skills, Cultural awareness, Sensitivity to cultures, Creative mindset, Inquisitive mindset, Fluent in English, High level English writing, High level English speaking", "qualificationsPreferred" : "Experience with girls on sensitive issues, Experience with participatory engagement, Technical knowledge in thematic areas, Background evaluating programs for women/girls, Hands-on applied research experience, Experience training others in research methods, Experience mentoring others in research methods, Experience training others in data analysis, Experience mentoring others in data analysis, Experience training others in reporting, Experience mentoring others in reporting", "remoteFriendly" : true, "rawDescription" : "Who we are Girl Effect is an international non-profit that builds media that girls want, trust and need. From chat-bots to chat-shows and TV dramas to tech, our content is reaching millions of girls in Africa and Asia to make choices and changes in their lives. Igniting their confidence to act differently at a time that can define their future. We create safe spaces for girls, sharing facts, and answering questions about health, nutrition, education, relationships and so much more. And we use innovative technology so we can reach girls at scale. We arm girls with the skills to negotiate and redefine what they are told is possible, so every girl can choose to be in control of her body, her health, her learning and livelihood. When a girl unlocks her power to make different choices that change her life, it inspires others to do so too. She starts a ripple effect that impacts her family, her community, her country. That’s the Girl Effect. Role Context The Evidence write requests for proposals and Terms of Reference for studies, review research tools, advise on sampling strategies and methodologies, and review analysis and reporting. Support with quality assurance during fieldwork, with on-site visits' or something, as I think this will be a key aspect of the role. Provide technical expertise to research, monitoring, and evaluation projects, working alongside our global MERL team as required. You will advise on fit-for purpose designs suggesting qualitative and/or quantitative methodologies or other approaches (e. g. using digital methods or secondary data sources) as appropriate. Ensure that Girl Effect’s ethical and safeguarding standards are upheld, and that field implementation is conducted to the highest standards, through training and oversight of field research partners. Ensure that research outputs are accessible, readily understandable, and useful, ensuring they are utilised as much as possible. Develop research partnerships with local and international research organisations to maximise opportunities for cost-sharing and joint learning. This list should not be considered exhaustive; you will be expected to deliver other duties relevant and appropriate to this position. Who You Are (Experience Required) Substantial experience (minimum 5 years) in applied research and/or monitoring and evaluation in Kenya or a postgraduate degree in a relevant field and at least 4 years of work experience. Passionate about working with adolescent girls and young women and truly supporting them thrive in challenging environments. Demonstrated experience in implementation of high quality qualitative and quantitative research design, fieldwork, data analysis and reporting. Experience of commissioning and managing research agencies throughout projects ensuring deliverables are completed on time and meeting the organisational needs. Strong qualitative and quantitative data analysis skills; proficient with digital adaptations. Demonstrated experience in uncovering new insights and translating these into exciting, engaging reports and research outputs. Experience in strategic planning and knowledge management Strong communication skills; able to work effectively across functions and countries. Excellent organisation and project management skills; able to develop and drive research processes and timelines. Strong cultural awareness and sensitivity about the cultures within which Girl Effect operates. Creative and inquisitive mindset with strong communication and organisational skills. Commitment to realising the potential of girls and to the vision and values of Girl Effect. Desirable Expertise working with girls on sensitive issues in Kenya Experience with participatory engagement approaches Technical/theoretical knowledge in one or more of Girl Effect’s thematic areas (e. g. gender, sexual and reproductive health, mental health, or economic empowerment) Background in evaluating programmes that relate to women and girls Hands-on experience of applied research in emerging markets or developing contexts. Experience in training and mentoring others in research methods, data analysis and reporting. Fluent in English, with a high level in writing as well as speaking What Else You Should Know As we continue to scale and grow - we are hugely ambitious for our future and we are looking for people who are driven to change the world for girls. Our teams are a diverse mix across sectors (non-profit and commercial) and specialisms (from Creative through to Gender and Insight). You’ll learn and grow in an environment that will challenge you to think and work with a fresh perspective. In turn, you can expect to work somewhere where you will be stretched and developed in your role, a place where you can build your career and work with talented, engaged people committed to our cause. Girl Effect is committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, or gender identity or expression. We are proud to be an equal opportunity workplace. We are committed to building an organisation that is increasingly representative of the communities that we serve. To this end, due regard will be paid to recruiting candidates with diverse professional, academic and cultural backgrounds. Furthermore, Girl Effect is committed to safeguarding and promoting the welfare and rights of all individuals, particularly the adolescent girls and young women we support. We have zero-tolerance for safeguarding violations, including sexual exploitation, abuse, and harassment (SEAH). All employees are required to adhere to our safeguarding policies and successfully complete relevant background checks, including reference and criminal record checks where applicable. This role is subject to a standard background disclosure. This role is being recruited for on a 12 month contract basis. Only applications submitted via https://job-boards.greenhouse.io/girleffect will be reviewed. Application closing date –29th June 2026", "summaryDescription" : "Evidence and Insights Manager at Girl Effect. Skills: Applied research, Monitoring and evaluation, Data analysis, Reporting. Write requests for proposals. Write Terms of Reference", "postedDate" : "2026-06-15T23:29:34.800", "createdAt" : "2026-06-15T23:29:34.800", "lastUpdated" : "2026-06-16T06:58:42.744", "ingestTimestamp" : "2026-06-15T23:29:34.800", "mongoId" : "6a306724f292fd229cfb9ac9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting", "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring", "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management", "Research processes", "Research timelines", "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 819.4103, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c94e574d8ee00a098bd4f", "title" : "Monitoring and Evaluation Specialist", "company" : "Dexis", "industry" : "Government", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Monitoring and Evaluation Specialist in Washington, D.C., adjusted for the healthcare industry and company size." }, "location" : "Washington, District of Columbia, United States", "locations" : [ "Washington", "District of Columbia", "United States" ], "timestamp" : "2026-06-15T06:57:43.252", "fingerprint" : "ae68f223da997581d9788150c0ad44e2a8e14d32842dbabc04182bb4f8bd17ed", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://dexisonline.com/jobs/?gh_jid=4705619005", "externalId" : "4705619005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Program monitoring", "Evaluation research", "Performance management", "Data analysis", "Data visualization", "Technical assistance", "Methodology refinement", "Stakeholder coordination", "Data synthesis", "Report preparation", "Dissemination strategy", "Archiving strategy", "Project reporting", "Presentation development", "Briefing development", "Compliance assurance", "Data standards", "Process improvement" ], "hardSkillsList" : [ "Evaluation research", "Implementation research", "Global health security", "International public health", "Federal agency support", "Data collection systems", "Database management", "Analytical tools", "Technical reporting", "Presentation delivery", "Task management", "Deadline management", "Data visualization", "Dashboard development", "Stakeholder engagement", "Technical assistance delivery" ], "softSkillsList" : [ "Trust", "Respect", "Fairness", "Inclusiveness" ], "hardSkills" : [ { "name" : "Evaluation research", "level" : "intermediate" }, { "name" : "Implementation research", "level" : "intermediate" }, { "name" : "Global health security", "level" : "intermediate" }, { "name" : "International public health", "level" : "intermediate" }, { "name" : "Federal agency support", "level" : "intermediate" }, { "name" : "Data collection systems", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Analytical tools", "level" : "intermediate" }, { "name" : "Technical reporting", "level" : "intermediate" }, { "name" : "Presentation delivery", "level" : "intermediate" }, { "name" : "Task management", "level" : "intermediate" }, { "name" : "Deadline management", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Dashboard development", "level" : "intermediate" }, { "name" : "Stakeholder engagement", "level" : "intermediate" }, { "name" : "Technical assistance delivery", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Trust" }, { "name" : "Respect" }, { "name" : "Fairness" }, { "name" : "Inclusiveness" } ], "majorSkills" : "Monitoring and Evaluation, Global Health Security, Data Analysis, Technical Assistance", "majorSkillsList" : [ "Monitoring and Evaluation", "Global Health Security", "Data Analysis", "Technical Assistance" ], "coreResponsibilities" : "Maintain data collection platforms, Enhance data collection platforms, Track program implementation, Support FETP monitoring, Collect program data, Validate program data, Manage program data, Support performance tracking, Develop data analysis products, Develop visualization products, Report implementation progress, Train stakeholders, Train country offices, Train implementing partners, Provide technical assistance, Support evaluation tool design, Support evaluation methodology refinement, Coordinate evaluation activities, Conduct data collection, Conduct data analysis, Conduct data synthesis, Support evaluation efforts, Prepare written reports, Prepare oral reports, Summarize evaluation findings, Summarize evaluation conclusions, Summarize evaluation recommendations, Support dissemination of products, Support archiving of products, Prepare project status reports, Align reports with work plans, Align reports with reporting requirements, Assist in presentation development, Assist in briefing development, Ensure compliance with reporting requirements, Ensure compliance with data collection standards, Support process improvement", "teamCollaboration" : "Country offices; Implementing partners; CDC staff; Global stakeholders", "projectManagementSkills" : [ "Work plans", "Reporting requirements" ], "domainKnowledge" : "Global health security; Public health initiatives; Field Epidemiology Training Program; International public health programs; Federal reporting requirements; Data collection standards", "domainList" : [ "global-health-security", "public-health-initiatives", "field-epidemiology-training-program", "international-public-health-programs", "federal-reporting-requirements", "data-collection-standards" ], "domainSpecificKnowledge" : [ "Global health security", "Public health initiatives", "Field Epidemiology Training Program", "International public health programs", "Federal reporting requirements", "Data collection standards" ], "toolProficiency" : [ "Data collection platforms", "Databases", "Analytical tools", "Data visualization tools", "Dashboard development tools" ], "communicationSkills" : "Technical reports; Presentations; Briefings", "documentationSkills" : "Technical reports", "problemSolvingSkills" : "Data analysis; Data synthesis", "specialRequirements" : "International travel", "outcomesObjectives" : "Assess program effectiveness; Assess program efficiency; Assess program impact; Support evidence-based decision-making", "qualificationsBasic" : "Master's degree in Public Health, 4+ years M&E experience, 2+ years global health experience, Federal agency experience, Data collection systems experience, Database management experience, Analytical skills, Writing skills, Communication skills, Manage multiple tasks, Meet reporting deadlines", "qualificationsPreferred" : "FETP experience, Workforce development experience, CDC experience, International technical assistance experience, Data visualization proficiency, Dashboard development proficiency, Train diverse audiences, Facilitate stakeholder engagement", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U. S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position The Monitoring and Evaluation (M&E) Specialist will provide technical support to the Office of Monitoring and Evaluation (OME), Division of Global Health Protection (DGHP), Global Health Center (GHC), in support of program monitoring and evaluation activities. The Specialist will contribute to strengthening global health security by supporting the monitoring, evaluation, and performance management of DGHP-supported programs, including the Field Epidemiology Training Program (FETP) and other public health initiatives. This position supports implementation monitoring, evaluation activities, and reporting to assess program effectiveness, efficiency, and impact, while contributing to evidence-based decision-making across the Division. The position may be performed at a government facility, remotely, or in a hybrid arrangement and may include international travel to support country-level technical assistance. This position is contingent upon award. Responsibilities Maintain and enhance data collection platforms and databases to track program implementation, including tools supporting FETP monitoring Collect, validate, and manage quarterly program data to support performance tracking Develop data analysis and visualization products to report on implementation progress Train stakeholders, including country offices and implementing partners, on monitoring tools and systems Provide technical assistance to DGHP-supported country programs, including international travel to support monitoring activities Support design, refinement, and implementation of evaluation tools and methodologies Coordinate evaluation activities across program stakeholders Conduct data collection, analysis, and synthesis to support evaluation efforts Prepare written and oral reports summarizing evaluation findings, conclusions, and recommendations Support dissemination and archiving of evaluation products Support preparation of project status reports aligned with program work plans and reporting requirements Assist in development of presentations, briefings, and other communication products for stakeholders Collaborate with CDC staff, implementing partners, and global stakeholders Ensure compliance with federal reporting requirements and data collection standards Support continuous improvement of monitoring, evaluation, and learning processes across DGHP Qualifications Master’s degree in Public Health, Epidemiology, Global Health, or a related field Minimum of 4 years of experience in public health program monitoring, evaluation, or implementation research At least 2 years of experience in global health security or related international public health programs Demonstrated experience supporting or working with federal agencies on similar monitoring and evaluation activities Experience with data collection systems, database management, and analytical tools Strong analytical, writing, and communication skills, including preparation of technical reports and presentations Ability to manage multiple tasks and meet reporting deadlines in a dynamic environment Preferred Qualifications Experience supporting Field Epidemiology Training Programs (FETP) or workforce development initiatives Experience working with CDC or similar public health agencies Experience delivering technical assistance in international settings Proficiency in data visualization, reporting tools, and dashboard development Experience training diverse audiences and facilitating stakeholder engagement Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law. As part of a competitive benefits package for eligible employees, Dexis provides healthcare insurance in addition to other staff welfare benefits and perks.", "summaryDescription" : "Monitoring and Evaluation Specialist at Dexis. Skills: Monitoring and Evaluation, Global Health Security, Data Analysis, Technical Assistance. Maintain data collection platforms. Enhance data collection platforms", "postedDate" : "2026-06-14T08:35:46.700", "createdAt" : "2026-06-14T08:35:46.700", "lastUpdated" : "2026-06-15T06:57:43.252", "ingestTimestamp" : "2026-06-14T08:35:46.700", "mongoId" : "6a2c94e574d8ee00a098bd4f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Evaluation research", "Implementation research", "Global health security", "International public health", "Federal agency support", "Data collection systems", "Database management", "Analytical tools", "Technical reporting", "Presentation delivery", "Task management", "Deadline management", "Data visualization", "Dashboard development", "Stakeholder engagement", "Technical assistance delivery", "Trust", "Respect", "Fairness", "Inclusiveness", "Monitoring and Evaluation", "Global Health Security", "Data Analysis", "Technical Assistance", "Program monitoring", "Performance management", "Data analysis", "Technical assistance", "Methodology refinement", "Stakeholder coordination", "Data synthesis", "Report preparation", "Dissemination strategy", "Archiving strategy", "Project reporting", "Presentation development", "Briefing development", "Compliance assurance", "Data standards", "Process improvement", "Work plans", "Reporting requirements", "Public health initiatives", "Field Epidemiology Training Program", "International public health programs", "Federal reporting requirements", "Data collection standards", "Data collection platforms", "Databases", "Data visualization tools", "Dashboard development tools" ], "skillCount" : 51, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 699.0825, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30753df292fd229c00d6cc", "title" : "Software Development Engineer, Products and Solutions", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 158000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T11:58:41.991", "fingerprint" : "45970dca3f76925594187d97bfeeac79222ca6764c02728ffb59657107e5c9fb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449377/apply", "externalId" : "425ac0be-0d9b-43b8-a158-b73d938088c6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "We're looking for a Software Development Engineer who wants to build AI-powered products that change how enterprises move to the cloud — and who's ready to grow fast in a small, high-ownership team. You'll design and deliver production features within an AWS 2-pizza team. Our team builds agentic AI solutions — platforms where AI agents and human consultants collaborate as a unified delivery team — reducing migration timelines from years to months and cutting costs dramatically. The work spans the full migration lifecycle: assessment, planning, orchestration, execution, and integration with AWS Transform (Amazon's agentic AI service for enterprise modernization). You'll be building real software used daily by 5,000+ practitioners serving Fortune 500 customers across 60+ countries. This is a hands-on builder role. You'll write code every day, contribute to system design, ship features end-to-end, and take ownership of components within a product engineering org that moves fast and measures success by adoption and customer outcomes. What We Build Our platform is a multi-agent system that orchestrates enterprise cloud migrations end-to-end. Our business spans several domains: - Agentic AI — AI agents that autonomously handle migration tasks (discovery, wave planning, runbook generation, infrastructure provisioning) while coordinating with human consultants - Orchestration and workflow — the coordination layer that enables multiple agents and humans to work in parallel with shared context and minimal overhead - Platform infrastructure — shared services (project datastores, external system connectors, agent lifecycle management) that underpin the PCAM ecosystem - AWS Transform integration — bidirectional data and workflow connectivity with AWS's flagship enterprise modernization service - Extensibility — frameworks that enable ProServe teams to build and deploy custom agents for specialized customer needs All of it involves building agentic AI systems at production scale with real users and real constraints. Why This Team - You'll build, not consult — we're a product engineering org inside Professional Services. We own our roadmap, ship on our cadence, and maintain our services. This is not billable-hours consulting. - AI-native problems from day one — you won't be adding AI to a legacy system. Every team is building agentic AI: designing agents, orchestrating them, evaluating their outputs, or making them extensible. You'll work at the frontier of applied AI engineering early in your career. - Small team, real ownership — as an AWS 2-pizza team, there's nowhere to hide and no shortage of interesting work. You'll own meaningful components, not just tickets. - Full-stack exposure — React frontends, Python services, AWS CDK infrastructure, AI agent logic. You'll touch it all. - Accelerated growth — we invest in developing engineers toward senior levels. You'll work alongside senior and principal engineers who will challenge you and help you expand your technical scope. - Direct customer impact — you'll occasionally see your tools in action on real customer engagements, connecting the code you write to tangible business outcomes. Key job responsibilities - Design and deliver production features end-to-end: from requirements through implementation, testing, deployment, and operations - Write clean, well-tested, production-quality code daily — primarily in Python and TypeScript/React - Contribute to system design discussions and propose solutions to technical problems within your team's scope - Build and maintain agentic AI components — agent logic, API integrations, orchestration workflows, or evaluation pipelines - Own operational health of your services: write alarms, build dashboards, maintain runbooks, participate in on-call rotations - Proactively identify bugs, performance issues, and technical debt — fix them without being asked - Collaborate effectively with teammates through code reviews, design discussions, and knowledge sharing - Communicate your work clearly in writing — design docs, pull request descriptions, and operational reviews - Learn continuously — stay current on AWS services, AI/ML developments, and engineering best practices relevant to your work - Potential Travel to customer sites and partner team locations to understand how your tools perform in the field A day in the life Our Migration & Modernization Engineering group builds the agentic AI products that help AWS Professional Services deliver cloud migrations at scale. We're a product engineering team — not a consulting delivery org. Tech stack: Python, AWS CDK, React, with heavy use of AWS services (Bedrock, Step Functions, Lambda, DynamoDB, API Gateway, and others). We're building on the latest agentic AI capabilities — expect to work with LLMs, multi-agent frameworks, and tool-use patterns regularly. About the team We ship frequently, debate architecture in design docs (not committees), and believe great engineers stay close to the code. We're building something new and moving fast — if you want greenfield problems, real ownership, and a steep learning curve, this is it. ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience building complex software systems that have been successfully delivered to customers - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations 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, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Products and Solutions at Amazon.com Services LLC", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-16T01:54:13.424", "lastUpdated" : "2026-06-16T11:58:41.991", "ingestTimestamp" : "2026-06-16T01:54:13.424", "mongoId" : "6a30753df292fd229c00d6cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449377/apply", "salaryAnnualMin" : 158000, "salaryAnnualMax" : 213800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 691.14954, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30753df292fd229c00d6cb", "title" : "Software Development Engineer, Products and Solutions", "company" : "Amazon Web Services, Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T13:20:15.682", "fingerprint" : "4f087b151a441e33b50f47054100ad95c67e37e844adcdcfd9b07a79d3c52ea5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449378/apply", "externalId" : "8bb0ca9b-3e12-4837-886c-f563ef49bbf6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "We're looking for a Software Development Engineer who wants to build AI-powered products that change how enterprises move to the cloud — and who's ready to grow fast in a small, high-ownership team. You'll design and deliver production features within an AWS 2-pizza team. Our team builds agentic AI solutions — platforms where AI agents and human consultants collaborate as a unified delivery team — reducing migration timelines from years to months and cutting costs dramatically. The work spans the full migration lifecycle: assessment, planning, orchestration, execution, and integration with AWS Transform (Amazon's agentic AI service for enterprise modernization). You'll be building real software used daily by 5,000+ practitioners serving Fortune 500 customers across 60+ countries. This is a hands-on builder role. You'll write code every day, contribute to system design, ship features end-to-end, and take ownership of components within a product engineering org that moves fast and measures success by adoption and customer outcomes. What We Build Our platform is a multi-agent system that orchestrates enterprise cloud migrations end-to-end. Our business spans several domains: - Agentic AI — AI agents that autonomously handle migration tasks (discovery, wave planning, runbook generation, infrastructure provisioning) while coordinating with human consultants - Orchestration and workflow — the coordination layer that enables multiple agents and humans to work in parallel with shared context and minimal overhead - Platform infrastructure — shared services (project datastores, external system connectors, agent lifecycle management) that underpin the PCAM ecosystem - AWS Transform integration — bidirectional data and workflow connectivity with AWS's flagship enterprise modernization service - Extensibility — frameworks that enable ProServe teams to build and deploy custom agents for specialized customer needs All of it involves building agentic AI systems at production scale with real users and real constraints. Why This Team - You'll build, not consult — we're a product engineering org inside Professional Services. We own our roadmap, ship on our cadence, and maintain our services. This is not billable-hours consulting. - AI-native problems from day one — you won't be adding AI to a legacy system. Every team is building agentic AI: designing agents, orchestrating them, evaluating their outputs, or making them extensible. You'll work at the frontier of applied AI engineering early in your career. - Small team, real ownership — as an AWS 2-pizza team, there's nowhere to hide and no shortage of interesting work. You'll own meaningful components, not just tickets. - Full-stack exposure — React frontends, Python services, AWS CDK infrastructure, AI agent logic. You'll touch it all. - Accelerated growth — we invest in developing engineers toward senior levels. You'll work alongside senior and principal engineers who will challenge you and help you expand your technical scope. - Direct customer impact — you'll occasionally see your tools in action on real customer engagements, connecting the code you write to tangible business outcomes. Key job responsibilities - Design and deliver production features end-to-end: from requirements through implementation, testing, deployment, and operations - Write clean, well-tested, production-quality code daily — primarily in Python and TypeScript/React - Contribute to system design discussions and propose solutions to technical problems within your team's scope - Build and maintain agentic AI components — agent logic, API integrations, orchestration workflows, or evaluation pipelines - Own operational health of your services: write alarms, build dashboards, maintain runbooks, participate in on-call rotations - Proactively identify bugs, performance issues, and technical debt — fix them without being asked - Collaborate effectively with teammates through code reviews, design discussions, and knowledge sharing - Communicate your work clearly in writing — design docs, pull request descriptions, and operational reviews - Learn continuously — stay current on AWS services, AI/ML developments, and engineering best practices relevant to your work - Potential Travel to customer sites and partner team locations to understand how your tools perform in the field A day in the life Our Migration & Modernization Engineering group builds the agentic AI products that help AWS Professional Services deliver cloud migrations at scale. We're a product engineering team — not a consulting delivery org. Tech stack: Python, AWS CDK, React, with heavy use of AWS services (Bedrock, Step Functions, Lambda, DynamoDB, API Gateway, and others). We're building on the latest agentic AI capabilities — expect to work with LLMs, multi-agent frameworks, and tool-use patterns regularly. About the team We ship frequently, debate architecture in design docs (not committees), and believe great engineers stay close to the code. We're building something new and moving fast — if you want greenfield problems, real ownership, and a steep learning curve, this is it. ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience building complex software systems that have been successfully delivered to customers - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations 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, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Products and Solutions at Amazon Web Services, Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-16T01:53:43.347", "lastUpdated" : "2026-06-16T13:20:15.682", "ingestTimestamp" : "2026-06-16T01:53:43.347", "mongoId" : "6a30753df292fd229c00d6cb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449378/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 690.0099, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7dc574d8ee00a0950bb9", "title" : "Embedded Software/Firmware Engineer (Network products)", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Ukraine, adjusted for mid-seniority, technology industry, and company size." }, "location" : "Ukraine", "locations" : [ "Ukraine" ], "timestamp" : "2026-06-16T02:35:09.615", "fingerprint" : "99f4eca42c790c6c6558ea4ebfcd254602c0141f8a52b072ca5d1973abbd6579", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4077650009", "externalId" : "4077650009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Ukraine", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Ukraine", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Linux, C/C++, Bash, VPN, IPv6, QoS, Routing", "professionalSkills" : [ "Architectural level discussion", "Work prioritization" ], "hardSkillsList" : [ "Embedded systems debugging", "Gateway features development", "Dataplane processing", "Performance enhancement", "Driver development" ], "hardSkills" : [ { "name" : "Embedded systems debugging", "level" : "intermediate" }, { "name" : "Gateway features development", "level" : "intermediate" }, { "name" : "Dataplane processing", "level" : "intermediate" }, { "name" : "Performance enhancement", "level" : "intermediate" }, { "name" : "Driver development", "level" : "intermediate" } ], "majorSkills" : "Embedded Software, Firmware Engineering, Network Products", "majorSkillsList" : [ "Embedded Software", "Firmware Engineering", "Network Products" ], "coreResponsibilities" : "Deliver new Unifi switch product, Work with hardware team, Communicate with foreign customer, Implement desired new features, Fix bugs", "teamCollaboration" : "Work with hardware team; Work with foreign customer; Work with global development teams", "projectManagementSkills" : [ "Prioritize work" ], "domainKnowledge" : "Network products; Linux operating system internals; Embedded systems; Networking; Gateway features; VPN; Firewall; IPv6; QoS; Security; Routing; NOS technology; Dataplane processing; Data center switch development; BSP; Linux device driver development", "domainList" : [ "network-products", "linux-operating-system-internals", "embedded-systems", "networking", "gateway-features", "vpn", "firewall", "ipv6", "qos", "security", "routing", "nos-technology", "dataplane-processing", "data-center-switch-development", "bsp", "linux-device-driver-development" ], "domainSpecificKnowledge" : [ "Network products", "Linux operating system internals", "Embedded systems", "Networking", "Gateway features", "VPN", "Firewall", "IPv6", "QoS", "Security", "Routing", "NOS technology", "Dataplane processing", "Data center switch development", "BSP", "Linux device driver development" ], "toolProficiency" : [ "Buildroot", "LFS", "Quagga", "FRR", "Broadcom framework", "Arista framework", "Barefoot framework" ], "communicationSkills" : "Great communication skill", "continuousLearning" : "Courses; Training; Conferences", "problemSolvingSkills" : "Bug fixing", "qualificationsBasic" : "3 years of software development experience, Detailed knowledge of Linux OS internals, C/C++ language, Bash debugging skills, Networking knowledge, Gateway features development, Bachelor or MS in Computer Science or Electrical Engineering", "qualificationsPreferred" : "Knowledge of Buildroot / LFS, Knowledge of NOS technology, Experience with Quagga / FRR, Understanding of dataplane processing, Experience of data center switch development, Experience with BSP and Linux driver development, Experience with software management process", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities Deliver new upcoming Unifi switch product Work with hardware team from BSP level up to networking software application level Communicate with foreign customer closely to implement desired new features and bug fixing Knowledge and experience Minimum of 3 years of software development experience Detailed knowledge of Linux operating system internals Strong C/C++ language, Bash and debugging skills on embedded systems Strong networking knowledge Experience in gateway features development — VPN, firewall, IPv6, QoS, security, Routing, etc. Bachelor or MS in Computer Science or Electrical Engineering Nice to have Knowledge of Buildroot / LFS Knowledge of NOS technology such as ONL / SnapRoute / Cumulus Network / OpenSwitch Experience with Quagga / FRR Understanding of dataplane processing and performance enhancement Knowledge of Broadcom, Arista, Barefoot switch framework Experience of data center switch development Experience with BSP and Linux device driver development Experience with software management process Good team player who can work both independently and also as a team with ability to take initiative Ability to organize and prioritize work across several projects simultaneously Able to think broad and discuss on software architectural level Aggressive working attitude with great communication skill and curiosity Benefits International work environment and work with global development teams Excellent work conditions in an A-Class office (Horizon Park Business Center) Compensation package matching global standards Flexible work hours (as required) Paid parking, courses, training, conferences and business trips Medical insurance Free lunches", "summaryDescription" : "Embedded Software/Firmware Engineer (Network products) at Ubiquiti. Skills: Embedded Software, Firmware Engineering, Network Products. Deliver new Unifi switch product. 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More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. COMPANY OPERATING RHYTHM At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. OPPORTUNITY We're looking for an exceptional lawyer to join our lean, high-impact legal team and lead legal work across our models and the products built on them. This role is for someone who thrives at the intersection of law and model development — a builder with sharp instincts and sound judgment who is steady under ambiguity and fluent in product. Our legal team has a real seat at the table. You'll partner with our research and data teams on the novel legal questions inside model development, and advise our product teams on the experiences we put in front of users. You'll help Deepgram move at the speed of an ambitious voice AI company while keeping pace with the AI legal frameworks coming online internationally. Many of the questions in our space don't have settled answers yet. That's the best part of the job. You'll think them through from first principles, design the frameworks that let us scale, and help Deepgram continue to earn its place as the trusted leader in voice AI. This role is ideal for someone with genuine conviction that voice is the most consequential interface with AI, and who wants to spend the next phase of their career on the legal questions that will define it. You'll be the third lawyer on our team, reporting directly to our General Counsel and helping establish a legal function that scales with a company on a steep trajectory, using AI as your default mode of working to set the standard for what AI-native legal work looks like. What You’ll Do - Be the go-to counsel for our data and research teams on the legal questions inside model development, and design the frameworks that let research move fast with confidence - Partner with our product teams to ship products and features that delight our users. - Draft and review the consumer-facing terms, policies, disclosures, and marketing that go with our products — written for customers, not lawyers - Continue building out our privacy program — and tell its story to customers — to deepen customer trust in our products - Stay ahead of the AI legal frameworks developing internationally, translate developments into principles and policies our teams can act on, and help Deepgram develop a clear point of view on responsible AI development - Develop deep expertise across the legal questions defining AI today, and help advance how our company, and the broader field, thinks about them - Build the AI-native legal function at Deepgram with workflows and systems that scale our team’s impact You'll Love This Role If You - Are passionate about AI and the ability to work alongside cutting-edge researchers and engineering teams - Get energized by being the first — building systems from scratch, establishing foundational practices, and turning novel legal questions into ones with answers - Are very practical in addressing legal issues and allergic to unnecessary friction - Have an abiding spirit of idealism about your chosen profession — you're not just answering legal questions, you're building something that matters - Have a point of view on what good lawyering looks like and a healthy sense of humor about everything else It's Important To Us That You Have - JD from a U.S. accredited law school and 7–15 years of experience in legal practice (or more), in-house, at a firm, or both - Demonstrated experience counseling product, research, or engineering teams on the legal questions that come up in how AI gets built and deployed - Fluency in the issues that matter most to us: privacy, IP, data licensing, consumer protection, and the international AI regulatory landscape. Depth in some, excited to learn the rest - Recognize that law is about the grey areas, and are comfortable living in them, while giving clear and actionable advice - An AI-native legal practice — workflows you've built into your own work, not just tools you've used - Exceptional writing — precise, plain, and compelling It Would Be Great If You Had - Hands-on experience at a foundation model company or AI research lab — you've seen how legal questions actually arise inside model development - Depth in one or more emerging AI regulatory regimes (EU AI Act, US states, UK, APAC) We read cover letters! If you want to stand out: Tell us about a novel legal question you worked through without a playbook — how you reasoned through it and where you landed. BENEFITS & PERKS* HOLISTIC HEALTH - Medical, dental, vision benefits - Annual wellness stipend - Mental health support - Life, STD, LTD Income Insurance Plans WORK/LIFE BLEND - Unlimited PTO - Parental leave - Flexible schedule - 12 Paid US company holidays - Quarterly personal productivity stipend - One-time stipend for home office upgrades - 401(k) plan with company match - Tax Savings Programs CONTINUOUS LEARNING - Learning / Education stipend - Participation in talks and conferences - Employee Resource Groups - AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.", "summaryDescription" : "Associate General Counsel (Product and Research) at Deepgram. Skills: Legal compliance, Product law, Research law. Provide legal counsel. 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You'll own the architecture and delivery of production systems that power how AWS Professional Services delivers enterprise cloud migrations and modernization at scale. Our team builds agentic AI solutions — platforms where AI agents and human consultants collaborate as a unified delivery team — reducing migration timelines from years to months and cutting costs dramatically. The work spans the full migration lifecycle: assessment, planning, orchestration, execution, and integration with AWS Transform (Amazon's agentic AI service for enterprise modernization). You'll be building real software used daily by thousands of practitioners serving Fortune 500 customers. This is a hands-on builder role with leadership expectations. You'll write code, design systems, lead projects across multiple engineers, mentor teammates, and own operational excellence for your services — all within a product engineering org that ships fast and measures success by adoption and customer outcomes. What We Build Our platform is a multi-agent system that orchestrates enterprise cloud migrations end-to-end. Our business spans several domains: - Agentic AI — AI agents that autonomously handle migration tasks (discovery, wave planning, runbook generation, infrastructure provisioning) while coordinating with human consultants - Orchestration and workflow — the coordination layer that enables multiple agents and humans to work in parallel with shared context and minimal overhead - Platform infrastructure — shared services (project datastores, external system connectors, agent lifecycle management) that underpin the PCAM ecosystem - AWS Transform integration — bidirectional data and workflow connectivity with AWS's flagship enterprise modernization service - Extensibility — frameworks that enable ProServe teams to build and deploy custom agents for specialized customer needs All of it involves building agentic AI systems at production scale with real users and real constraints. Why This Team - You'll build, not consult — we're a product engineering org inside Professional Services. We own our roadmap, ship on our cadence, and maintain our services. This is not billable-hours consulting. - AI-native problems — every team is working on some aspect of agentic AI: building agents, orchestrating them, evaluating their outputs, or making them extensible. You'll be at the frontier of applied AI engineering. - Small team, big impact — as an AWS 2-pizza team, you'll have direct ownership of significant components. Your architecture decisions directly impact 5000+ consultants across 60+ countries delivering $1B+ in active delivery pipeline. - Full-stack ownership — from React frontends to CDK infrastructure to AI agent logic. No artificial boundaries between \"frontend\" and \"backend\" engineers. - Career growth — we invest in developing senior engineers toward Principal levels. You'll work alongside senior architects and receive direct mentorship on expanding your technical influence beyond a single team. - Direct customer engagement — you'll occasionally engage directly on customer migrations, seeing your tools in action and bringing insights back to improve the platform. Key job responsibilities - Own team-level architecture — design systems that are simple, extensible, and operationally sound - Influence design and technical decisions beyond your immediate team, contributing to org-wide architectural direction and engineering standards - Lead projects spanning multiple engineers; make sound technical decisions and drive execution from design through production deployment - Design and build agentic AI components — whether that's agent logic, orchestration workflows, evaluation pipelines, or integration APIs - Write production code daily — you should spend the majority of your time building, not meeting - Set engineering standards on your team: code quality, testing practices, CI/CD pipelines, observability, and incident response - Solve complex distributed systems problems where trade-offs between latency, consistency, extensibility, and cost aren't obvious - Proactively identify and resolve technical debt; simplify systems rather than layering complexity - Mentor and grow engineers on your team; help junior and mid-level engineers level up through code reviews, design guidance, and career coaching - Communicate technical designs clearly in writing — design docs, RFCs, and architecture decision records - Drive operational excellence: meaningful alarms, runbooks, dashboards, and a culture of learning from incidents - Travel ~5% to customer sites and partner team locations to understand how your tools perform in the field A day in the life Our Migration & Modernization Engineering group builds the agentic AI products that help AWS Professional Services deliver cloud migrations at scale. We're a product engineering team — not a consulting delivery org. Tech stack: Python, AWS CDK, React, with heavy use of AWS services (Bedrock, Step Functions, Lambda, DynamoDB, API Gateway, and others). We're building on the latest agentic AI capabilities — expect to work with LLMs, multi-agent frameworks, and tool-use patterns daily. About the team We ship frequently, debate architecture in design docs (not committees), and believe great engineers stay close to the code. We're building something new and moving fast — if you want greenfield problems with real constraints, this is it. ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Bachelor's degree in computer science or equivalent Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience building complex software systems that have been successfully delivered to customers 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 . 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We use industry leading machine learning, high scale low latency systems, and AI technologies to create better sponsored customer experiences off the store. This role will have deep interest in building the next innovations in ad tech and shopping wherever shoppers go. You will work with external and internal partners to connect ad tech systems, understand customers, and drive results at scale. You are a deeply technical leader who operates with a GenAI first approach to product, engineering, and science based solutions. Key job responsibilities Together with your scrum, you will: - Design and develop new components using the latest event-driven and server-less AWS technologies. - Develop both real time and petabyte scale big data systems working directly with different types of technology. - Design, launch, own and evolve software that serves both the interests of customers and advertisers. - Work closely with our top notch team of scientists and economists to invent, build and try ML-based approaches to iterate on what works best. About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience in machine learning, data mining, information retrieval, statistics or natural language processing Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Machine learning, Ad tech, Big data. Design new components. 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Compiler teams; Interdisciplinary team", "domainKnowledge" : "Energy-efficient computing; Programmable processors; AI/ML frameworks; Embedded applications; Computer architectures", "domainList" : [ "energy-efficient-computing", "programmable-processors", "ai-ml-frameworks", "embedded-applications", "computer-architectures" ], "domainSpecificKnowledge" : [ "Energy-efficient computing", "Programmable processors", "AI/ML frameworks", "Embedded applications", "Computer architectures" ], "toolProficiency" : [ "Altium" ], "communicationSkills" : "Communication skills", "innovationCreativity" : "Develop cutting-edge hardware; Develop cutting-edge software", "problemSolvingSkills" : "Problem solving skills; Troubleshooting silicon issues", "qualificationsBasic" : "8+ years PCB board design, 8+ years embedded systems software development, Experience debugging new silicon, 5+ years C/C++, Deep knowledge of embedded platform, Experience using development/debugging tools", "qualificationsPreferred" : "Experience with Altium, Solid grasp of computer architectures", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Efficient is developing the world’s most energy-efficient general-purpose computer processor. Efficient’s patented technology uses 100x less energy than state of the art commercially available ultra-low-power processors and is programmable using standard high-level programming languages and AI/ML frameworks. This level of efficiency makes perpetual, pervasive intelligence possible: run AI/ML continuously on a AA battery for 5-10 years. Our platform’s unprecedented level of efficiency enables IoT devices to intelligently capture and curate first-party data to drive the next major computing revolution Efficient’s Embedded Hardware Engineer will design and implement complete systems that feature the world’s most energy-efficient programmable processor. Your primary role will be to develop PCB designs and accompanying system software to test and showcase our revolutionary processors. Specifically, you will be tasked with creating bring-up test hardware and customer evaluation development kits (EDKs), and assist with customer hardware reviews. You will develop the requisite software to operate our bring-up test hardware and EDKs, as well as develop our customer-facing SDK. Additionally, you will be involved in pre-silicon activities such as validating our processors using RTL simulators and FPGA emulators, and developing secure boot ROMs. This position is a unique opportunity to develop cutting-edge hardware and software as part of a highly interdisciplinary team, helping to demonstrate the value of Efficient’s breakthrough technology. If you are an engineer who wants to be part of an intensely skilled team and wants to have an immediate impact building the next generation of energy-efficient embedded applications, this is for you! Key Responsibilities Develop bring-up test hardware and customer EDKs Engage with PCBA vendors, and manage relationships Perform board bring-up Perform pre-silicon validation activities for our processors Develop boot ROM and firmware for our processors Perform first-silicon bring-up and checkout activities Engage with Digital Design and Compiler teams to debug silicon issues Build out a low level SDK for our processors and maintain a set of standard libraries Support customers with their board development efforts, reviewing designs and providing recommended solutions Deploy applications to our processors, in software simulation, RTL emulation, and silicon implementation Required Qualifications & Experience Requirements 8+ years experience with PCB board design 8+ years of experience developing software for embedded systems Experience debugging new silicon and hardware prototypes in the lab 5+ years of experience with C and/or C++ Deep knowledge of at least one embedded platform, such as MSP430, STM32, Ambiq Apollo, PIC32, or similar Experience using industry standard development and debugging tools for embedded systems Strong attention to detail, and an ability to work on multiple projects simultaneously Good problem solving skills, communication skills, and work ethic Comfortable working at a start-up engineering pace Desired Qualifications & Experience Requirements Experience with Altium Develop Solid grasp of computer architectures We offer a competitive salary for this role, generally ranging from $160,000 to $210,000, along with meaningful equity and comprehensive benefits. 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S. security clearance", "experience and familiarity with aircraft maintenance standards", "comprehension of FAA compliance and guidelines from other relevant aviation authorities", "knowledge of risk management and safety protocols within UAS operations", "aviation safety training", "familiarity in working with one or more of the following system groups: Group 1-5 Unmanned Aerial Systems, including rotary wing, fixed wing, turbine jet, VTOL, and missile body aircraft", "demonstrated technical and operational understanding of flight operations, Flying systems, and sensors" ], "softSkillsList" : [ "flexible, creative, over-communicating, driven, biased towards action" ], "hardSkills" : [ { "name" : "technical undergraduate degree", "level" : "intermediate" }, { "name" : "direct accountability for leading an organization of at least 25 people", "level" : "intermediate" }, { "name" : "managing, participating in, and owning a flight organization and its associated sites", "level" : "intermediate" }, { "name" : "experience with airfields, bases, runways, airspace, frequency management, munitions (airborne and ground operations), ground and flight test scheduling, and overall asset management and utilization", "level" : "intermediate" }, { "name" : "familiarity with verification and validation events as they relate to a product development process", "level" : "intermediate" }, { "name" : "experience in test, subsystem testing, and qualifications tracing to end-system tests", "level" : "intermediate" }, { "name" : "eligible to obtain and maintain an active U. S. security clearance", "level" : "intermediate" }, { "name" : "experience and familiarity with aircraft maintenance standards", "level" : "intermediate" }, { "name" : "comprehension of FAA compliance and guidelines from other relevant aviation authorities", "level" : "intermediate" }, { "name" : "knowledge of risk management and safety protocols within UAS operations", "level" : "intermediate" }, { "name" : "aviation safety training", "level" : "intermediate" }, { "name" : "familiarity in working with one or more of the following system groups: Group 1-5 Unmanned Aerial Systems, including rotary wing, fixed wing, turbine jet, VTOL, and missile body aircraft", "level" : "intermediate" }, { "name" : "demonstrated technical and operational understanding of flight operations, Flying systems, and sensors", "level" : "intermediate" } ], "softSkills" : [ { "name" : "flexible, creative, over-communicating, driven, biased towards action" } ], "majorSkills" : "Test Operations leadership, flight testing of unmanned systems, system and subsystem testing, risk management, cross-functional collaboration", "majorSkillsList" : [ "Test Operations leadership, flight testing of unmanned systems, system and subsystem testing, risk management, cross-functional collaboration" ], "coreResponsibilities" : "Oversee the Test, Evaluation and Operations organization for Anduril under the Hardware Platform organization, including test site operations, test engineering, and test integration activities. Provide and promote leadership and mentorship for the organization. Organize and mentor career paths that multiple years and support the growth of Anduril employees. Lead an organization of Engineers, Test Site Management staff, UAS Operators, and Technicians. Ensure that conditions and provisions are in place for the safest test operations. Implement Operational Risk Management (ORM) practices to identify and minimize personal risk. Organize, execute, and direct Anduril policies, standards, and training to ensure safety-of-flight is conducted with minimized risk and maximized success for our customers. This includes, but is not limited to, test plans, Test Review Boards (TRBs), Safety Review Boards (SRBs), and other Standard Operating Procedures (SOPs). Own and administer training standards and qualifications for UAS operators, as well as for piloted chase plane activities and charter flight operations. There is an opportunity to expand these standards to include surface and submersible operations. Familiarity with ground system controls and telemetry requirements in test and UAS operations. Support the sustainment organization with initial training and technical writing content requests. Provide test support for proposal activities and engage in external customer conversations and presentations. Accountable for managing and operating Anduril test sites across various locations, both CONUS and OCONUS. Identify and prepare new test sites that meet product test needs. Connect, communicate, and collaborate with internal customer business lines requiring test support. Work with stakeholder support groups including manufacturing, supply chain, sustainment, and facilities. Ensure traceability exists between subsystem verification testing and end-system test and evaluation. Org growth opportunities include extending into subsystem and component test and validation. Ensure the organization maintains the training and certifications required to perform their roles (including both Anduril internal requirements and external requirements, such as FAA regulations). Advise internal and external leadership on the organization’s flight capabilities and other capabilities within the Anduril test ecosystem. Own the execution of ATPs requiring flight operations—from small drones to Group 5 UAS level operations. Frequent travel across multiple test sites and locations is expected. Maintain and promote a high degree of professionalism, including punctuality and accountability. Be accountable for executing an annual operating plan within budget and schedule for the items listed above. Shape and drive continued strategy related to these responsibilities.", "teamCollaboration" : "Collaborate closely with engineering leadership, program leadership, and cross-functional operations teams. Work with stakeholder support groups including manufacturing, supply chain, sustainment, and facilities. Experience working with cross-functional engineering teams and external customers, with a demonstrated ability to reconcile differing opinions and achieve consensus on objectives.", "projectManagementSkills" : [ "managing and operating Anduril test sites", "executing an annual operating plan within budget and schedule" ], "toolProficiency" : [ "Lattice OS" ], "communicationSkills" : "over-communicating with internal customers and other stakeholders; external customer conversations and presentations; advise internal and external leadership", "documentationSkills" : "technical writing content requests; test plans; Standard Operating Procedures (SOPs)", "innovationCreativity" : "Must be flexible and creative enough to push aggressive test operation schedules while maintaining appropriate rigor and safety standards.", "problemSolvingSkills" : "solve problems in unstructured situations at the interface of hardware, software, and operations", "specialRequirements" : "Must be a U. S. Citizen. Eligible to obtain and maintain an active U. S. security clearance. Ability to travel up to 50% routinely, and higher during deadline surge scenarios. Able to work extended hours on test sites in various locations.", "outcomesObjectives" : "Turn test organizational strategy into reality as Anduril scales. Ensure that conditions and provisions are in place for the safest test operations. Ensure traceability exists between subsystem verification testing and end-system test and evaluation. Own the execution of ATPs requiring flight operations. Be accountable for executing an annual operating plan within budget and schedule. Shape and drive continued strategy related to these responsibilities. Achieve strategic and mission success.", "qualificationsBasic" : "Must have had direct accountability for leading an organization of at least 25 people. matrix and programmatic cross-functional leadership experience will be considered. Previous accountability and direct experience managing, participating in, and owning a flight organization and its associated sites. Experience with airfields, bases, runways, airspace, frequency management, munitions (airborne and ground operations), ground and flight test scheduling, and overall asset management and utilization. A technical undergraduate degree or equivalent technical experience and training. Familiarity with verification and validation events as they relate to a product development process. Experience in test, subsystem testing, and qualifications tracing to end-system tests. Must be flexible and creative enough to push aggressive test operation schedules while maintaining appropriate rigor and safety standards. Must be willing and capable of over-communicating with internal customers and other stakeholders. Driven and biased towards must drive the team to meet and communicate timelines on behalf of business lines, treating business line needs as if their professional success depends on it. Ability to drive and enable an efficient test program and ground/flight operation schedule. Eligible to obtain and maintain an active U. S. security clearance as a U. S. Citizen. Experience and familiarity with aircraft maintenance standards Ability to travel up to 50% routinely, and higher during deadline surge scenarios. Able to work extended hours on test sites in various locations. Comprehension of FAA compliance and guidelines from other relevant aviation authorities. Experience in planning and executing UAS missions. Knowledge of risk management and safety protocols within UAS operations. Aviation safety training. Familiarity in working with one or more of the following system groups: Group 1-5 Unmanned Aerial Systems, including rotary wing, fixed wing, turbine jet, VTOL, and missile body aircraft. Air sense and situational Demonstrated technical and operational understanding of flight operations, Flying systems, and sensors. Ability to solve problems in unstructured situations at the interface of hardware, software, and operations to achieve strategic and mission success. Experience working with cross-functional engineering teams and external customers, with a demonstrated ability to reconcile differing opinions and achieve consensus on objectives.", "qualificationsPreferred" : "Test pilot school and/or test squadron or organization background (e.g., Operator, Pilot, NFO, WSO, Navigator, Flight Test Engineer). Military aviation training at some level as an operator of an aviation system (or civilian equivalent).", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. This position is designed to lead our entire Test Operations organization. You must bring technical passion and experience in developmental flight testing of unmanned systems at both the system and subsystem levels. You will turn test organizational strategy into reality as Anduril scales. In this role, you will collaborate closely with engineering leadership, program leadership, and cross-functional operations teams, tackling a wide spectrum of challenging problems with your team. The Test Operations organization at Anduril works across the entire spectrum of products and business lines, covering all flight operations and test range management. Our team conducts full system-level integration and development testing for ground and flight operations, production acceptance flight testing, sub-component qualification testing, and much more. In short, if it involves testing, we support it. If you are interested in being accountable for an innovative, fast-paced organization—where your strategic decisions and implementation directly make an impact—this is a fantastic opportunity. WHAT YOU’LL DO Oversee the Test, Evaluation and Operations organization for Anduril under the Hardware Platform organization, including test site operations, test engineering, and test integration activities. Provide and promote strong leadership and mentorship for the organization. Organize and mentor career paths that span multiple years and support the growth of Anduril employees. Lead an organization of Engineers, Test Site Management staff, UAS Operators, and Technicians. Ensure that conditions and provisions are in place for the safest test operations. Implement Operational Risk Management (ORM) practices to identify and minimize personal risk. Organize, execute, and direct Anduril policies, standards, and training to ensure safety-of-flight is conducted with minimized risk and maximized success for our customers. This includes, but is not limited to, test plans, Test Review Boards (TRBs), Safety Review Boards (SRBs), and other Standard Operating Procedures (SOPs). Own and administer training standards and qualifications for UAS operators, as well as for piloted chase plane activities and charter flight operations. There is an opportunity to expand these standards to include surface and submersible operations. Familiarity with ground system controls and telemetry requirements in test and UAS operations. Support the sustainment organization with initial training and technical writing content requests. Provide test support for proposal activities and engage in external customer conversations and presentations. Accountable for managing and operating Anduril test sites across various locations, both CONUS and OCONUS. Identify and prepare new test sites that meet product test needs. Connect, communicate, and collaborate with internal customer business lines requiring test support. Work with stakeholder support groups including manufacturing, supply chain, sustainment, and facilities. Ensure traceability exists between subsystem verification testing and end-system test and evaluation. Org growth opportunities include extending into subsystem and component test and validation. Ensure the organization maintains the training and certifications required to perform their roles (including both Anduril internal requirements and external requirements, such as FAA regulations). Advise internal and external leadership on the organization’s flight capabilities and other capabilities within the Anduril test ecosystem. Own the execution of ATPs requiring flight operations—from small drones to Group 5 UAS level operations. Frequent travel across multiple test sites and locations is expected. Maintain and promote a high degree of professionalism, including punctuality and accountability. Be accountable for executing an annual operating plan within budget and schedule for the items listed above. Shape and drive continued strategy related to these responsibilities. REQUIRED QUALIFICATIONS Must have had direct accountability for leading an organization of at least 25 people. Strong matrix and programmatic cross-functional leadership experience will be considered. Previous accountability and direct experience managing, participating in, and owning a flight organization and its associated sites. Experience with airfields, bases, runways, airspace, frequency management, munitions (airborne and ground operations), ground and flight test scheduling, and overall asset management and utilization. A technical undergraduate degree or equivalent technical experience and training. Familiarity with verification and validation events as they relate to a product development process. Experience in test, subsystem testing, and qualifications tracing to end-system tests. Must be flexible and creative enough to push aggressive test operation schedules while maintaining appropriate rigor and safety standards. Must be willing and capable of over-communicating with internal customers and other stakeholders. Driven and biased towards action; must drive the team to meet and communicate timelines on behalf of business lines, treating business line needs as if their professional success depends on it. Ability to drive and enable an efficient test program and ground/flight operation schedule. Eligible to obtain and maintain an active U. S. security clearance as a U. S. Citizen. Experience and familiarity with aircraft maintenance standards Ability to travel up to 50% routinely, and higher during deadline surge scenarios. Able to work extended hours on test sites in various locations. Comprehension of FAA compliance and guidelines from other relevant aviation authorities. Experience in planning and executing UAS missions. Knowledge of risk management and safety protocols within UAS operations. Aviation safety training. Familiarity in working with one or more of the following system groups: Group 1-5 Unmanned Aerial Systems, including rotary wing, fixed wing, turbine jet, VTOL, and missile body aircraft. Air sense and situational awareness; Demonstrated technical and operational understanding of flight operations, Flying systems, and sensors. Ability to solve problems in unstructured situations at the interface of hardware, software, and operations to achieve strategic and mission success. Experience working with cross-functional engineering teams and external customers, with a demonstrated ability to reconcile differing opinions and achieve consensus on objectives. PREFERRED QUALIFICATIONS Test pilot school and/or test squadron or organization background (e.g., Operator, Pilot, NFO, WSO, Navigator, Flight Test Engineer). Military aviation training at some level as an operator of an aviation system (or civilian equivalent). US Salary Range $254,000—$336,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "Head of Hardware Test at Anduril Industries. Skills: Test Operations leadership, flight testing of unmanned systems, system and subsystem testing, risk management, cross-functional collaboration. Oversee the Test, Evaluation and Operations organization for Anduril under the Hardware Platform organization, including test site operations, test engineering, and test integration activities. Provide and promote leadership and mentorship for the organization. Organize and mentor career paths that mult", "postedDate" : "2026-06-14T19:09:04.610", "createdAt" : "2026-06-14T19:09:04.610", "lastUpdated" : "2026-06-15T09:57:37.715", "ingestTimestamp" : "2026-06-14T19:09:04.610", "mongoId" : "6a2c6bcf74d8ee00a0914ca2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "technical undergraduate degree", "direct accountability for leading an organization of at least 25 people", "managing, participating in, and owning a flight organization and its associated sites", "experience with airfields, bases, runways, airspace, frequency management, munitions (airborne and ground operations), ground and flight test scheduling, and overall asset management and utilization", "familiarity with verification and validation events as they relate to a product development process", "experience in test, subsystem testing, and qualifications tracing to end-system tests", "eligible to obtain and maintain an active U. S. security clearance", "experience and familiarity with aircraft maintenance standards", "comprehension of FAA compliance and guidelines from other relevant aviation authorities", "knowledge of risk management and safety protocols within UAS operations", "aviation safety training", "familiarity in working with one or more of the following system groups: Group 1-5 Unmanned Aerial Systems, including rotary wing, fixed wing, turbine jet, VTOL, and missile body aircraft", "demonstrated technical and operational understanding of flight operations, Flying systems, and sensors", "flexible, creative, over-communicating, driven, biased towards action", "Test Operations leadership, flight testing of unmanned systems, system and subsystem testing, risk management, cross-functional collaboration", "Defense technology, unmanned systems, AI, computer vision, sensor fusion, networking technology, military systems, flight operations, test range management, ground and flight operations, production acceptance flight testing, sub-component qualification testing, UAS operations, aircraft maintenance standards, aviation authorities, UAS missions, risk management and safety protocols within UAS operations, aviation safety, Group 1-5 Unmanned Aerial Systems, rotary wing, fixed wing, turbine jet, VTOL, and missile body aircraft, flight operations, Flying systems, and sensors.", "managing and operating Anduril test sites", "executing an annual operating plan within budget and schedule", "FAA compliance", "Lattice OS" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 612.2266, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Defense Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5f4c74d8ee00a08eac5b", "title" : "Director, Research - Evaluation & Training", "company" : "Snorkel AI", "industry" : "Technology", "salary" : { "min" : 220000.0, "max" : 330000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director, Research - Evaluation & Training in San Francisco, adjusted for seniority, company size, and the technology industry." }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-14T22:21:08.575", "fingerprint" : "b0792dbc0bd5486acee1ee0ccfe36c6135a2afadd1e1b2e80745bc4080985c7c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/snorkelai/jobs/6020877004", "externalId" : "6020877004", "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", "experienceLevel" : "Director", "technicalSkills" : "AI, ML", "professionalSkills" : [ "Business judgment", "Market judgment" ], "hardSkillsList" : [ "Evaluation techniques", "Error analysis", "Data valuation" ], "softSkillsList" : [ "Leadership", "Communication", "Storytelling" ], "hardSkills" : [ { "name" : "Evaluation techniques", "level" : "intermediate" }, { "name" : "Error analysis", "level" : "intermediate" }, { "name" : "Data valuation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Communication" }, { "name" : "Storytelling" } ], "majorSkills" : "Data-centric research, Model evaluation, Data valuation", "majorSkillsList" : [ "Data-centric research", "Model evaluation", "Data valuation" ], "coreResponsibilities" : "Own multi-quarter roadmap, Synthesize trends from model-failure analysis, Share trends into recommendations, Quantify how Snorkel data improves model performance, Lead and grow team of researchers, Set high bar for quality, Set high bar for rigor, Set high bar for speed of execution, Act as bridge between findings and Product, Act as bridge between findings and GTM, Act as bridge between findings and customers", "teamCollaboration" : "Bridge findings to Product; Bridge findings to GTM; Bridge findings to customers", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "LLM evaluation; Benchmarking; Model behavior analysis; Data-centric methods", "domainList" : [ "llm-evaluation", "benchmarking", "model-behavior-analysis", "data-centric-methods" ], "domainSpecificKnowledge" : [ "LLM evaluation", "Benchmarking", "Model behavior analysis", "Data-centric methods" ], "communicationSkills" : "Make technical results legible; Make technical results persuasive", "problemSolvingSkills" : "Error analysis; Model failure analysis", "qualificationsBasic" : "7+ years in applied AI, ML, or research, 4+ years managing technical teams, SQL proficiency", "qualificationsPreferred" : "Familiarity with data valuation or data attribution research, Experience working with frontier labs, Experience with public benchmarks, Experience with commercial AI data/eval products", "rawDescription" : "About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! Snorkel AI came out of the Stanford AI lab and is built on the principle that data development is the core of AI. For years, we have pioneered data-centric methods that power the world’s most sophisticated AI implementations from top enterprises to frontier AI labs. We are looking for a Senior Manager of Research to lead a team focused on data-centric research. About the Role We're looking for a manager to lead a team of researchers to focus on data evaluation, error analysis and data valuation methods to predict model performance. This team is responsible for showcasing the value and quality of Snorkel’s data for model training and evaluation, understanding where today's frontier models fall short, and turning that understanding into a point of view on what benchmarks and datasets these models will benefit from. You and your team will be responsible for Snorkel’s data design flywheel by analyzing model failures, finding capability and skill gaps in current models, suggesting the next benchmarks to invest in and then proving the value of this data for our customers. Main Responsibilities Own a multi-quarter roadmap centered on novel evaluation, error analysis, and data valuation techniques Synthesize and share trends from model-failure analysis and benchmarking into recommendations on the datasets the community should focus on and the ones Snorkel should invest in — making this team a primary input to the company's data strategy. Focus on data valuation techniques that quantify how Snorkel data meaningfully improves model performance Lead and grow a team of researchers, setting a high bar for quality, rigor and speed of execution Act as the primary bridge between the team's findings and Product, GTM, and our customers What We’re Looking For 7+ years in applied AI, ML, or research roles, with 4+ years managing technical teams. A leader who has repeatedly turned research and analysis into business outcomes, and who instinctively connects technical findings to market and customer needs. Strong business and market judgment in the AI/ML space — you understand the competitive and frontier-lab landscape and can prioritize accordingly. Technically conversant and credible: enough depth in LLM evaluation, benchmarking, and model behavior analysis to set direction, judge experimental quality, and pressure-test results — without needing to be the deepest technical expert in the room. A nose for trends: able to look across many evaluation results and failure cases and extract the signal that should drive what gets built next. Excellent communication and storytelling skills, with the ability to make technical results legible and persuasive to non-research audiences. Familiarity with data valuation or data attribution research is a strong plus. Bonus: experience working with frontier labs, public benchmarks, or commercial AI data/eval products. Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.", "summaryDescription" : "Director, Research - Evaluation & Training at Snorkel AI. Skills: Data-centric research, Model evaluation, Data valuation. Own multi-quarter roadmap. Synthesize trends from model-failure analysis", "postedDate" : "2026-06-12T22:26:10.687", "createdAt" : "2026-06-12T22:26:10.687", "lastUpdated" : "2026-06-14T22:21:08.575", "ingestTimestamp" : "2026-06-12T22:26:10.687", "mongoId" : "6a2c5f4c74d8ee00a08eac5b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Evaluation techniques", "Error analysis", "Data valuation", "Leadership", "Communication", "Storytelling", "Data-centric research", "Model evaluation", "Business judgment", "Market judgment", "Roadmap planning", "LLM evaluation", "Benchmarking", "Model behavior analysis", "Data-centric methods" ], "skillCount" : 15, "jobCategory" : "other", "jobSubcategory" : "316---research", "dataQualityScore" : 0.8888889, "_score" : 602.4866, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69fe94fe4c40e2acd112180a", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T02:31:17.127", "fingerprint" : "5c0b643709b4f75330ab493a1347c607a62f5167c623b112007223d9362f04b0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414900/apply", "externalId" : "ae8f2580-e704-4d57-832e-d48338837ecf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, Server-less, Event-driven, Big data, Machine learning, Generative AI, AI", "professionalSkills" : [ "System design", "Ad tech", "Shopping experiences" ], "hardSkillsList" : [ "ML-based approaches", "Data systems" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "ML-based approaches", "level" : "intermediate" }, { "name" : "Data systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Generative AI, Ad tech, Machine learning", "majorSkillsList" : [ "Generative AI", "Ad tech", "Machine learning" ], "coreResponsibilities" : "Design new components, Develop new components, Develop real time systems, Develop petabyte scale systems, Design software, Launch software, Own software, Evolve software, Invent ML-based approaches, Build ML-based approaches, Try ML-based approaches", "teamCollaboration" : "Scrum team; Scientists; Economists; External partners; Internal partners", "projectManagementSkills" : [ "Scrum" ], "domainKnowledge" : "Ad tech; Shopping experiences; Generative AI", "domainList" : [ "ad-tech", "shopping-experiences", "generative-ai" ], "domainSpecificKnowledge" : [ "Ad tech", "Shopping experiences", "Generative AI" ], "innovationCreativity" : "Next innovations; Invent approaches", "outcomesObjectives" : "Drive results at scale", "qualificationsBasic" : "3+ years software development experience, 3+ years system design experience, Experience programming one language", "qualificationsPreferred" : "5+ years full SDLC experience, Bachelor's degree in computer science, Experience in machine learning, Experience in data mining, Experience in information retrieval, Experience in statistics, Experience in natural language processing", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands Offsite team builds solutions to extend campaigns to reach customers off the store and extend shopping experiences on third party sites where shoppers search and discover products. We use industry leading machine learning, high scale low latency systems, and AI technologies to create better sponsored customer experiences off the store. This role will have deep interest in building the next innovations in ad tech and shopping wherever shoppers go. You will work with external and internal partners to connect ad tech systems, understand customers, and drive results at scale. You are a deeply technical leader who operates with a GenAI first approach to product, engineering, and science based solutions. Key job responsibilities Together with your scrum, you will: - Design and develop new components using the latest event-driven and server-less AWS technologies. - Develop both real time and petabyte scale big data systems working directly with different types of technology. - Design, launch, own and evolve software that serves both the interests of customers and advertisers. - Work closely with our top notch team of scientists and economists to invent, build and try ML-based approaches to iterate on what works best. About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Basic Qualifications: - 3+ years of non-internship professional software development experience - 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience in machine learning, data mining, information retrieval, statistics or natural language processing 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, NY, New York - 158,100.00 - 213,800.00 USD annually USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Ad tech, Machine learning. Design new components. Develop new components", "postedDate" : "2026-06-13T05:32:42.478", "createdAt" : "2026-06-13T05:32:42.478", "lastUpdated" : "2026-06-15T02:31:17.127", "ingestTimestamp" : "2026-06-13T05:32:42.478", "mongoId" : "69fe94fe4c40e2acd112180a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414900/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "ML-based approaches", "Data systems", "Leadership", "Generative AI", "Ad tech", "Machine learning", "System design", "Shopping experiences", "Scrum" ], "skillCount" : 9, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 601.3676, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "6a305934f292fd229cf45c7a", "title" : "Technical Product Manager (Hardware)", "company" : "42dot", "industry" : "PRODUCT", "salary" : { "min" : 7.5E7, "max" : 1.1E8, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Technical Product Manager (Hardware) in the Technology industry in Pangyo, South Korea, adjusted for company size and seniority." }, "location" : "Pangyo (Software Dream Center), South Korea", "locations" : [ "Pangyo (Software Dream Center), South Korea" ], "timestamp" : "2026-06-16T09:41:22.486", "fingerprint" : "b8d4c185654409c007008fd02cf7919156cd9365a56ada74f617afd250e0816f", "source" : "ashby", "language" : "ko", "applyUrl" : "https://jobs.ashbyhq.com/42dot/c7d3b332-7f31-46a6-8f41-e4bae8af70d0/application", "externalId" : "c7d3b332-7f31-46a6-8f41-e4bae8af70d0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pangyo", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.3947237,127.1115312" } ], "locationText" : "Pangyo, South Korea", "employmentType" : "FULL_TIME", "technicalSkills" : "Embedded SW, SW issue management", "professionalSkills" : [ "Project management", "Technical decision making", "Risk management", "Dependency management", "System integration" ], "hardSkillsList" : [ "HW/SW integration", "ECU development", "Embedded software development" ], "hardSkills" : [ { "name" : "HW/SW integration", "level" : "intermediate" }, { "name" : "ECU development", "level" : "intermediate" }, { "name" : "Embedded software development", "level" : "intermediate" } ], "majorSkills" : "Technical Project Management, ECU System Engineering, HW/SW Integration", "majorSkillsList" : [ "Technical Project Management", "ECU System Engineering", "HW/SW Integration" ], "coreResponsibilities" : "Manage SW issues, Manage development schedule, Manage interface with controllers, Manage communication with controllers, Manage overall SW technical schedule, Define technical decision needs, Coordinate cross-organizational collaboration, Manage complex technical projects, Manage project risks, Manage project dependencies, Coordinate technical issue resolution, Coordinate platform feature integration, Coordinate testing, Manage issues in events, Manage issues in testing", "teamCollaboration" : "Cross-organizational collaboration", "projectManagementSkills" : [ "Technical project management", "Schedule management", "Risk management", "Dependency management" ], "domainKnowledge" : "Software Defined Vehicle; Vehicle ECU; Cloud services; Network infrastructure; HW/SW integration; Embedded SW; Vehicle platform; Autonomous driving; IVI; Power control; SDV ECU; Sub-ECU; Sensors; FMEA; ISO26262; ASPICE; CAN; Giga ethernet; 10B-T1S; I2C; SPI; Vehicle OTA; Vehicle diagnostics", "domainList" : [ "software-defined-vehicle", "vehicle-ecu", "cloud-services", "network-infrastructure", "hw-sw-integration", "embedded-sw", "vehicle-platform", "autonomous-driving", "ivi", "power-control", "sdv-ecu", "sub-ecu", "sensors", "fmea", "iso26262", "aspice", "can", "giga-ethernet", "10b-t1s", "i2c", "spi", "vehicle-ota", "vehicle-diagnostics" ], "domainSpecificKnowledge" : [ "Software Defined Vehicle", "Vehicle ECU", "Cloud services", "Network infrastructure", "HW/SW integration", "Embedded SW", "Vehicle platform", "Autonomous driving", "IVI", "Power control", "SDV ECU", "Sub-ECU", "Sensors", "FMEA", "ISO26262", "ASPICE", "CAN", "Giga ethernet", "10B-T1S", "I2C", "SPI", "Vehicle OTA", "Vehicle diagnostics" ], "toolProficiency" : [ "Confluence", "Jira" ], "documentationSkills" : "Technical specification writing", "problemSolvingSkills" : "Technical problem solving; Failure analysis", "specialRequirements" : "3 months probation", "qualificationsBasic" : "Vehicle development experience, ECU system engineering experience, Technical project management experience, Complex technical project experience, System requirements definition experience, Technical specification writing experience, Confluence, Jira tool experience, Technical problem solving experience, Failure analysis experience, Multi-domain development experience, Development management experience", "qualificationsPreferred" : "Autonomous driving experience, IVI experience, Power control design experience, SDV ECU development experience, HW/SW integration project experience, Sub-ECU, sensor development experience, Upper ECU PM experience, FMEA experience, ISO26262 experience, ASPICE experience, External communication understanding, Internal chip communication understanding, Vehicle OTA understanding, Vehicle diagnostics understanding", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "WE ARE LOOKING FOR THE BEST 42dot PMO는 Software Defined Vehicle(SDV) 플랫폼 개발을 위한 다양한 기술 프로젝트를 관리하며, 여러 개발 조직 간 협업을 통해 차량 소프트웨어와 하드웨어 플랫폼이 안정적으로 통합되도록 지원하는 역할을 수행합니다. Technical Product Manager (Hardware)는 차량과 클라우드 서비스 간 연동 기능을 중심으로 한 기술 프로젝트을 리딩합니다. 차량 ECU, 클라우드 서비스, 네트워크 인프라 등 여러 시스템이 유기적으로 동작할 수 있도록 다양한 개발 조직과 협업하며 기술적인 의사결정을 지원합니다. 이 역할은 차량의 SDV 주요 ECU들의 HW, Embedded SW통합 개발에 대한 사항들을 담당하며, 하위 제어기, 각 ECU의 Application과 Embedded SW 간의 coordination을 담당합니다. Responsibilities - AP와 MCU 기반의 SW issue, 개발 일정 관리 - 하위 제어기와의 interface, 통신 관련 관리 - SW 전반적인 technical 개발 일정 관리 - 개발 조직 간 기술적 의사 결정 필요 사항 정의 및 조직 간 협업 조율 - 복잡한 기술 프로젝트의 일정, 리스크 및 의존성 관리 - 시스템 통합 과정에서 발생 기술 이슈 조율 - 차량 플랫폼 기능 통합 및 테스트 Co-ordination - DV, PV 등의 Event와 ASPICE, 차량 단위 Test 에서의 issue 관리 Qualifications - 차량 개발, ECU 시스템 엔지니어링 경험 또는 Technical Project Management 경험 - 복잡한 기술 프로젝트에서 여러 조직과 협업하여 프로젝트 추진 경험 - 시스템 요구 사항 정의 및 Technical Specification 작성 경험 - Confluence, Jira 등 협업 Tool 확용 경험 - 기술 문제 해결 및 장애 분석 경험 - 여러 Domain 개발, 개발 관리 경험 Preferred Qualifications - 자율주행, IVI, 전력 control설계 경험 또는 SDV ECU 개발 경험 - HW/SW 통합 개발 프로젝트 경험 - 하위 ECU, Sensor를 포함하는 상위 ECU 개발, PM 경험 - FMEA, ISO26262, ASPICE 경험 - CAN, Giga ethernet, 10B-T1S 등의 외부 통신, ECU 내부 I2C, SPI 등 chip간 통신에 대한 이해 - 차량 OTA, 진단에 대한 이해 Interview Process - 서류전형 - 화상면접 (1시간 내외) - 대면 혹은 화상면접 (3시간 내외) - 최종합격 - 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. - 전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다. Additional Information - 이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다. - 모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.) - 인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다. - 국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다. - 장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다. - 42dot은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다. - 3개월의 수습기간이 적용될 수 있습니다. ※ 지원 전 아래 내용을 꼭 확인해 주세요. - 42dot이 일하는 방식, 42dot Way 보러가기 → https://42dot.ai/careers/way - 42dot만의 업무몰입 프로그램, Employee Engagement Program 보러가기 → https://42dot.ai/careers/program", "summaryDescription" : "Technical Product Manager (Hardware) at 42dot. Skills: Technical Project Management, ECU System Engineering, HW/SW Integration. Manage SW issues. Manage development schedule", "createdAt" : "2026-06-16T00:26:41.158", "lastUpdated" : "2026-06-16T09:41:22.486", "ingestTimestamp" : "2026-06-16T00:26:41.158", "mongoId" : "6a305934f292fd229cf45c7a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "HW/SW integration", "ECU development", "Embedded software development", "Technical Project Management", "ECU System Engineering", "HW/SW Integration", "Project management", "Technical decision making", "Risk management", "Dependency management", "System integration", "Technical project management", "Schedule management", "Software Defined Vehicle", "Vehicle ECU", "Cloud services", "Network infrastructure", "Embedded SW", "Vehicle platform", "Autonomous driving", "IVI", "Power control", "SDV ECU", "Sub-ECU", "Sensors", "FMEA", "ISO26262", "ASPICE", "CAN", "Giga ethernet", "10B-T1S", "I2C", "SPI", "Vehicle OTA", "Vehicle diagnostics", "Confluence", "Jira" ], "skillCount" : 37, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 599.05096, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3070f1f292fd229cff723a", "title" : "Monitoring, Evaluation and Learning (MEL) Intern", "company" : "SNV", "industry" : "Non-Profit Organization Management", "salary" : { "min" : 3600000.0, "max" : 6000000.0, "currency" : "TZS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level MEL Intern in Sumbawanga, Tanzania, adjusted for the non-profit industry and internship role." }, "location" : "Sumbawanga, Rukwa Region, TZ", "locations" : [ "Sumbawanga", "Rukwa Region", "TZ" ], "timestamp" : "2026-06-16T09:31:22.390", "fingerprint" : "cc4b5e85ace2adbcdf9b6211cad06539ce9a1464adeb2f43ce2f7bf28a70c6e2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SNV/744000132146344-monitoring-evaluation-and-learning-mel-intern", "externalId" : "744000132146344", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sumbawanga", "state" : "Rukwa Region", "country" : "Tanzania", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-7.9523861,31.6231898" } ], "locationText" : "Sumbawanga, Rukwa Region, Tanzania", "employmentType" : "INTERNSHIP", "experienceLevel" : "internship", "technicalSkills" : "KoboToolbox, ODK, Xlsforms, Microsoft Excel, Power BI, GIS, R, SPSS, Stata", "professionalSkills" : [ "Data management", "Data analysis", "Reporting", "Documentation", "Filing" ], "hardSkillsList" : [ "Data collection", "Data cleaning", "Data validation", "Data quality assurance", "Indicator tracking", "Trend analysis" ], "softSkillsList" : [ "Confidentiality" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data quality assurance", "level" : "intermediate" }, { "name" : "Indicator tracking", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidentiality" } ], "majorSkills" : "Data collection, Data analysis, Reporting, Data management", "majorSkillsList" : [ "Data collection", "Data analysis", "Reporting", "Data management" ], "coreResponsibilities" : "Support development, deployment and management of digital data, Coordinate with field officers, enumerators, CSOs, and extension, Assist in reviewing submitted datasets for completeness, consistency,, Centralize datasets into reusable data products, Maintain organized digital and physical MEL records, Support routine data cleaning, validation and data quality, Participate in field monitoring visits and spot checks, Support verification of reported activities and indicator achievements, Compile routine indicator tracking data, Support tracking project targets against achievements, Support preparation of activity reports, quarterly district reports,, Assist in documenting outcome harvesting evidence, success stories,, Generate basic summaries, tables, charts, and trend analyses, Support reporting/data gap analyses, Support organization of learning events, review meetings, and, Follow up with partners on data submissions and, Support logistics for surveys, assessments, and monitoring activities", "teamCollaboration" : "Working with field teams; Working with Value Chain Coordinators; Working with implementing partners; Engaging project partners; Engaging field stakeholders", "domainKnowledge" : "Agriculture; Nutrition; Food security; Climate resilience; Development projects; Market systems development", "domainList" : [ "agriculture", "nutrition", "food-security", "climate-resilience", "development-projects", "market-systems-development" ], "domainSpecificKnowledge" : [ "Agriculture", "Nutrition", "Food security", "Climate resilience", "Development projects", "Market systems development" ], "toolProficiency" : [ "KoboToolbox", "ODK", "Xlsforms", "Microsoft Excel", "Power BI", "R", "SPSS", "Stata" ], "documentationSkills" : "Documentation; Filing; Outcome harvesting; Success stories; Lessons learned", "specialRequirements" : "Willingness to travel frequently, Ability to work under tight timelines", "outcomesObjectives" : "Ensure high-quality data is always available; Strengthen timely availability of quality data for project management; Support evidence based decision making; Support donor reporting", "qualificationsBasic" : "Bachelor’s Degree or Diploma, Up to 2 years of relevant experience, Experience using KoboToolbox, ODK, or similar, Proficiency with developing digital data collection tools using xlsforms, Proficiency in Microsoft Excel, Basic data analysis and reporting skills, Good documentation and filing skills", "qualificationsPreferred" : "Experience with agriculture, nutrition, or development projects, Experience with dashboard development and data visualization, Knowledge of agricultural, nutrition, or market systems development projects, Familiarity with Power BI, GIS tools, R, SPSS, Stata or other statistical software, Possession of a valid motorcycle license", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SNV Netherlands Development Organisation http://www.snv.org/ is a Dutch-based international development organisation that provides market-based solutions for the poor through local institutions and organisations in 24 developing countries in Asia, Africa and Latin America. Working in Agriculture, Energy, and Water, Sanitation & Hygiene, we have built a long-term, local presence in Asia, Africa and Latin America. Our global team of local and international advisors works with local partners to equip communities, businesses and organisations with the tools, knowledge and connections they need to increase their incomes and gain access to basic services – empowering them to break the cycle of poverty and guide their own development. With over 50 years of working to support Tanzanian communities, we have a long track record of achieving scale and sustainability that makes a lasting difference in the lives of people in poverty. SNV in Tanzania’s diverse portfolio covers climate-smart agriculture, landscape conservation, renewable energy, and water, sanitation and hygiene. Empowering Smallholder Farmers for Food Security and Climate Resilience (NOURISH Tanzania) is a five-year project that aims to achieve resilient food security and improve nutrition for SHF households in key regions of Tanzania. The project focuses on two areas, both of which experience food insecurity and malnutrition, but which are distinctly different: the central-northern zone (Singida, Dodoma, Manyara) which suffer from acute food insecurity and Southern Highlands (Songwe, Rukwa) which faces chronic malnutrition. The project has reached its mid-term stage and has established a strong foundation for implementation by improving smallholder farmer households’ knowledge of climate-smart agriculture and nutrition practices, while also strengthening engagement with critical stakeholders. Moving forward, the project aims to deepen adoption by consolidating access to essential services, strengthening linkages, and addressing key systemic barriers that have been identified. Through this placement, the project seeks to strengthen its monitoring, evaluation and learning function through management collection data collection and analysis and learning while ensuring high-quality data is always available for project management and learning purposes. The MEL Intern will support implementation of project MEL activities including data collection, verification, cleaning, compilation, reporting, and coordination working closely with field teams, Value Chain Coordinators and implementing partners. The role is intended to strengthen timely availability of quality data for project management, learning, evidence based decision making and donor reporting. * Support development, deployment and management of digital data collection tools (e.g. Kobo Toolbox/ODK). * Coordinate with field officers, enumerators, CSOs, and extension staff during data collection exercises. * Assist in reviewing submitted datasets for completeness, consistency, and accuracy * Centralize datasets into reusable data products (database, Excel files) and maintain organized digital and physical MEL records. * Support routine data cleaning, validation and data quality assurance processes. * Participate in field monitoring visits and spot checks. * Support verification of reported activities and indicator achievements. * Compile routine indicator tracking data and support tracking project targets against achievements. * Support preparation of activity reports, quarterly district reports, and annual reports. * Assist in documenting outcome harvesting evidence, success stories, lessons learned, field observations and other MEL resources. * Generate basic summaries, tables, charts, and trend analyses as well as reporting/data gap analyses using Excel or related tools. * Support organization of learning events, review meetings, and reflection sessions. * Follow up with partners on data submissions and reporting timelines. * Support logistics for surveys, assessments, and monitoring activities. ## Qualifications * Bachelor’s Degree or Diploma in Monitoring & Evaluation, Statistics, Agricultural Economics, ICT, Data Science, Data Management, Computer Science or related field. * Up to 2 years of relevant experience in MEL, research, project data management, or related fields, including internships, volunteer assignments, research projects, or development program experience. * Experience using KoboToolbox, ODK, or similar digital data collection systems * Proficiency with developing digital data collection tools using xlsforms (ODK/Kobo Toolbox). * Experience working with agriculture, nutrition, or development projects * Proficiency in Microsoft Excel, including the use of formulas, Pivot Tables, and data validation tools. * Basic data analysis and reporting skills. * Good documentation and filing skills. * Experience with dashboard development and data visualization. * Knowledge of agricultural, nutrition, or market systems development projects. * Familiarity with Power BI, GIS tools, R, SPSS, Stata or other statistical software * Possession of a valid motorcycle license is an added advantage. Attributes: * High attention to detail. * Strong organizational skills. * Integrity and confidentiality in handling data. * Ability to work independently and within teams. * Willingness to travel frequently to field locations, * Ability to work under tight timelines. * Strong interpersonal and communication skills for engaging project partners and field stakeholders ## Additional Information ADDITIONAL INFORMATION Location: Sumbawanga (with frequent field travel) Duration: 1 year (possibility of renewal) Remuneration: Based strictly on SNV Tanzania internship rates. WORKING AT SNV SNV offers a challenging work environment, opportunities to lead and innovate, and a commitment to growing your skills in a fulfilling and diverse working environment. Our staff benefit from, and contribute to, an internal global network of Agri Food team. HOW TO APPLY The vacancy is for internal and external candidates and it will active up to 20th June 2026. All applications should be through Smart Recruiters on the following link .", "summaryDescription" : "Monitoring, Evaluation and Learning (MEL) Intern at SNV. Skills: Data collection, Data analysis, Reporting, Data management. Support development, deployment and management of digital data. Coordinate with field officers, enumerators, CSOs, and extension", "postedDate" : "2026-06-15T08:59:59.000", "createdAt" : "2026-06-16T01:31:18.695", "lastUpdated" : "2026-06-16T09:31:22.390", "ingestTimestamp" : "2026-06-16T01:31:18.695", "mongoId" : "6a3070f1f292fd229cff723a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data collection", "Data cleaning", "Data validation", "Data quality assurance", "Indicator tracking", "Trend analysis", "Confidentiality", "Data analysis", "Reporting", "Data management", "Documentation", "Filing", "Agriculture", "Nutrition", "Food security", "Climate resilience", "Development projects", "Market systems development", "KoboToolbox", "ODK", "Xlsforms", "Microsoft Excel", "Power BI", "R", "SPSS", "Stata" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 598.2331, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6bb074d8ee00a0914043", "title" : "Automation and Controls Software Engineer", "company" : "Varda Space Industries", "industry" : "Manufacturing", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Automation and Controls Software Engineer in El Segundo, United States, adjusted for the aerospace industry and company size." }, "location" : "El Segundo, California, United States", "locations" : [ "El Segundo", "California", "United States" ], "timestamp" : "2026-06-15T07:32:55.415", "fingerprint" : "0e051f4f1b6d3cd12e385ded31022e1c4c6023c4ba9dfa66d6290c77ff1d861c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/vardaspace/jobs/7770810003", "externalId" : "7770810003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "El Segundo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9170280,-118.4156337" } ], "locationText" : "El Segundo, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, PLC, EtherCAT, TwinCAT 3, IEC 61131-3, Modbus, RS-232, RS-485", "professionalSkills" : [ "Test automation", "Industrial automation", "Controls engineering", "Electrical design", "System integration" ], "hardSkillsList" : [ "Hardware control", "Test automation applications", "Real-time control implementation", "High-frequency control applications", "Electrical panel design", "System commissioning" ], "hardSkills" : [ { "name" : "Hardware control", "level" : "intermediate" }, { "name" : "Test automation applications", "level" : "intermediate" }, { "name" : "Real-time control implementation", "level" : "intermediate" }, { "name" : "High-frequency control applications", "level" : "intermediate" }, { "name" : "Electrical panel design", "level" : "intermediate" }, { "name" : "System commissioning", "level" : "intermediate" } ], "majorSkills" : "Automation, Controls, Software engineering, Hardware integration", "majorSkillsList" : [ "Automation", "Controls", "Software engineering", "Hardware integration" ], "coreResponsibilities" : "Design test systems, Build test systems, Maintain test systems, Integrate with external hardware, Develop PLC framework, Extend EtherCAT tooling, Contribute to architecture decisions, Build cabinets, Wire panels, Own systems end-to-end, Partner with teams, Champion sustainable practices", "teamCollaboration" : "Propulsion teams; Avionics teams; GNC teams; Manufacturing teams", "domainKnowledge" : "Spaceflight hardware; Ground support equipment; Propulsion test stands; Environmental chambers; Spacecraft integration testing; In-orbit pharmaceutical processing; Reentry capsules; Orbital economy", "domainList" : [ "spaceflight-hardware", "ground-support-equipment", "propulsion-test-stands", "environmental-chambers", "spacecraft-integration-testing", "in-orbit-pharmaceutical-processing", "reentry-capsules", "orbital-economy" ], "domainSpecificKnowledge" : [ "Spaceflight hardware", "Ground support equipment", "Propulsion test stands", "Environmental chambers", "Spacecraft integration testing", "In-orbit pharmaceutical processing", "Reentry capsules", "Orbital economy" ], "toolProficiency" : [ "TwinCAT 3" ], "innovationCreativity" : "Shape test automation", "specialRequirements" : "U.S. persons only", "qualificationsBasic" : "Bachelor's degree in Engineering, 2+ years industry experience, Python skills, Hands-on hardware integration, Modern PLC ecosystem experience, Comfort working across full stack, Thrive in fast-paced startup", "qualificationsPreferred" : "Custom control frameworks experience, Advanced EtherCAT expertise", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Varda Low Earth orbit is open for business. Varda is accelerating the development of commercial space infrastructure, from in-orbit pharmaceutical processing to reliable and economical reentry capsules. From life-saving pharmaceuticals to more powerful fiber optics, there is a world of products used on Earth today that can only be manufactured in space. Varda is accelerating innovation in the orbital economy by creating both the products and infrastructure needed so space can directly benefit life on Earth. Our mission is to expand the economic bounds of humankind. Our team is uniquely suited to accomplishing this goal, with leadership and staff comprised of veterans from SpaceX, Blue Origin, major pharmaceutical companies and Silicon Valley. Varda was founded in January 2021 by Will Bruey and Delian Asparouhov with significant backing from world class investors including Khosla Ventures, Lux Capital, Founders Fund, Caffeinated Capital, General Catalyst, and Also Capital. Varda is headquartered in El Segundo, California, where we have offices and a production facility where our vehicles, equipment, and materials are built, integrated, and tested. Varda also has offices in Washington, DC and Huntsville, AL. Join Varda, and work to create a bustling in-space ecosystem. About the Role As an Automation and Controls Software Engineer at Varda, you will be at the center of one of the most technically demanding challenges in the industry: building the bespoke test infrastructure that qualifies spaceflight hardware for orbit. This is not a role for someone who wants to work inside a well-worn playbook. You will design, build, and own sophisticated ground support equipment (GSE) and test systems — from propulsion test stands to environmental qualification chambers to full spacecraft-level integration testing. You will work at the intersection of software, electrical, and mechanical domains, collaborating with propulsion, avionics, GNC, and manufacturing teams to deliver infrastructure that meets demanding timelines. Our stack is intentionally modern and software-engineering-focused, including a custom PLC framework and EtherCAT tooling built in-house. We want engineers who are energized — not intimidated — by the opportunity to shape how test automation is done across an entire organization. This is a high-ownership role on a small, growing team. You will have a meaningful voice in architecture decisions and the chance to define standards that will outlast any single program. If you thrive when the scope is broad, the stakes are real, and the problems are genuinely novel, this is your role. Responsibilities Design, build, and maintain test systems and ground support equipment (GSE) for flight hardware qualification and manufacturing operations. Integrate with a wide range of external hardware, including thermal vacuum chambers, ovens, chillers, pressure systems, data acquisition hardware, and precision instrumentation. Develop and extend Varda's internal PLC framework and EtherCAT tooling to support evolving program needs. Contribute to architecture decisions on real-time control implementation, including evaluation of PLC-based (TwinCAT 3) versus Linux-based approaches for high-frequency control applications. Build cabinets, wire panels, and own systems end-to-end — from electrical design through commissioning. Partner with propulsion, avionics, GNC, and manufacturing teams to deliver test infrastructure that meets their needs on aggressive timelines. Champion sustainable engineering practices that enable new engineers to ramp quickly on the tech stack and maintain production systems reliably. Basic Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or a related field. 2+ years of industry experience in test automation, controls, or industrial automation. Strong Python skills, particularly for hardware control or test automation applications. Hands-on experience integrating with industrial hardware over protocols such as EtherCAT, Modbus (TCP/RTU), RS-232/485 serial, or similar communication standards. Experience with at least one modern PLC ecosystem — ideally Beckhoff TwinCAT 3 with structured text (IEC 61131-3) — or a demonstrated eagerness to develop deep expertise there. Comfort working across the full stack: writing control software, designing electrical panels, wiring cabinets, and debugging hardware. Proven ability to thrive in a fast-paced startup environment where priorities shift, and end-to-end ownership of problems is expected. Preferred Skills and Qualifications Experience working with custom or in-house control frameworks, rather than relying solely on vendor-provided stacks. Advanced EtherCAT expertise beyond consumer-level usage — including DC sync, ENI configuration, master implementation, or driver-level work. Production experience with TwinCAT 3, structured text, and the broader IEC 61131-3 language suite. Experience designing deterministic, hard real-time control loops with sub-millisecond cycle times. Strong intuition for when to use real-time PLC code versus higher-level Python orchestration, and a clear understanding of the tradeoffs between the two. Bare-metal or embedded firmware development experience. Experience with Docker and DevOps tooling for test infrastructure deployment and reproducibility. Familiarity with time-series data acquisition and visualization tools such as Grafana, InfluxDB, or similar platforms. Aerospace experience, particularly in spacecraft testing or GSE development. Environmental test experience, including TVAC, thermal cycling, and vibration testing. Hands-on experience working with high-pressure gas or fluid systems. Experience developing propulsion test stands or other complex, multi-subsystem test infrastructure. Familiarity with spacecraft qualification standards and associated documentation requirements. Experience developing safety-related control systems and evaluating proposed solutions for reducing safety-related risks. Compensation & Benefits Base salary range: $114,000 – $184,000 per year, commensurate with skills, experience, education, and performance. Eligible for incentives in the form of stock options and/or long-term cash awards. On-site role in El Segundo, CA. Leveling and base salary are determined by job-related skills, education level, experience level, and job performance Varda Space Industries is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, martial status, mental or physical disability, or any other legally protected status. Benefits Varda offers a comprehensive benefits package designed to support health, financial well‑being, and a high‑quality workplace experience. Below is an overview of what full‑time employees receive (at this time, interns receive a subset of benefits): Health & Wellness Flexible PTO policy + 12 paid holidays 100% company-paid Medical, Dental, and Vision insurance plans for employees and dependents with FSA and employer-matched HSA options Voluntary accident, hospital, critical illness, and pet insurance $120/month wellness reimbursement for gym and fitness expenses 12 weeks of parental leave (with supplemental disability leave for CA mothers) Family building, pregnancy, parenting and menopause benefits via Maven Clinic Sponsored One Medical memberships for employees and their dependents Financial & Retirement Substantial incentive equity in a fully funded space start-up 401(k) retirement plan with 6% employer match (immediately vested) $20/pay period cell phone reimbursement Relocation support for new hires, if needed Workplace Experience & Perks Fully stocked kitchen with lunch provided daily and dinner provided twice weekly Company and team-bonding events, happy hours and mission-success celebrations Complimentary EV charging Dog-friendly office space \uD83D\uDC15 ITAR Requirements Varda, like all employers, must ensure that its employees working in the United States are lawfully authorized to work in the U. S. Additionally, our employees are exposed to and have access to certain export-controlled items. At present, some of our technology to which employees have access requires a license to be exported to individuals other than “U. S. Persons” as defined in U. S. export regulations. Because our employees are provided access to export-controlled items, our current policy is to only hire “U. S. persons” who are permitted to have access to our technology without an export license. “US person” means: U. S. citizen, U. S. lawful permanent resident, or protected individual as defined by 8 U.S. C. 1324b(a)(3) (i.e., individual admitted to the U. S. as a refugee or granted asylum in the U.S.) Learn more about the ITAR here. E-Verify Statement Varda Space Industries, Inc. participates in the U. S. Department of Homeland Security E-Verify program. The E-Verify program is an Internet-based employment eligibility verification system operated by the U. S. Citizenship and Immigration Services. Learn more about the E-Verify program. E-Verify Notice Right To Work Notice Read more Read more", "summaryDescription" : "Automation and Controls Software Engineer at Varda Space Industries. Skills: Automation, Controls, Software engineering, Hardware integration. Design test systems. Build test systems", "postedDate" : "2026-06-14T04:14:43.873", "createdAt" : "2026-06-14T04:14:43.873", "lastUpdated" : "2026-06-15T07:32:55.415", "ingestTimestamp" : "2026-06-14T04:14:43.873", "mongoId" : "6a2c6bb074d8ee00a0914043", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Hardware control", "Test automation applications", "Real-time control implementation", "High-frequency control applications", "Electrical panel design", "System commissioning", "Automation", "Controls", "Software engineering", "Hardware integration", "Test automation", "Industrial automation", "Controls engineering", "Electrical design", "System integration", "Spaceflight hardware", "Ground support equipment", "Propulsion test stands", "Environmental chambers", "Spacecraft integration testing", "In-orbit pharmaceutical processing", "Reentry capsules", "Orbital economy", "TwinCAT 3" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 584.6848, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a47fa74d8ee00a05dced1", "title" : "Research Lead, New AI Products & Platforms", "company" : "The New York Times", "salary" : { "min" : 140000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY", "locations" : [ "New York", "NY" ], "timestamp" : "2026-06-14T22:17:47.913", "fingerprint" : "f78d192fd1e9febe1818e47c9062a1355a71f1151c79a4f84a88ee9f3d938174", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/thenewyorktimes/jobs/4703588005", "externalId" : "4703588005", "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "GenAI tools", "professionalSkills" : [ "Product strategy", "Roadmap", "User stories", "Cross-functional collaboration" ], "hardSkillsList" : [ "Qualitative research", "Quantitative research", "Participatory design", "Ethnographies", "Co-creation", "Usability studies", "Card-sorting", "Surveys" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Participatory design", "level" : "intermediate" }, { "name" : "Ethnographies", "level" : "intermediate" }, { "name" : "Co-creation", "level" : "intermediate" }, { "name" : "Usability studies", "level" : "intermediate" }, { "name" : "Card-sorting", "level" : "intermediate" }, { "name" : "Surveys", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product Management, AI Products, Research Lead", "majorSkillsList" : [ "Product Management", "AI Products", "Research Lead" ], "coreResponsibilities" : "Understand audiences, Build empathy for audiences, Demonstrate understanding journalistic independence, Support journalistic independence, Commitment to mission", "teamCollaboration" : "Cross-functional partners; Cross-functional stakeholders", "domainKnowledge" : "AI; Information; Media; Journalism", "domainList" : [ "ai", "information", "media", "journalism" ], "domainSpecificKnowledge" : [ "AI", "Information", "Media", "Journalism" ], "communicationSkills" : "Compelling narratives", "continuousLearning" : "Professional development programs", "innovationCreativity" : "Early-stage product development; 0-1 product development; Rapid prototyping; Iterative product development; Experimentation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "8+ years research experience, Research chat interfaces, Research GenAI search tools, Use GenAI tools, Moderating qualitative research, Facilitating brainstorms, Facilitating workshops, Mastery of research methods, Participatory design, In-person interviews, Remote interviews, Ethnographies, Co-creation, User-initiated feedback tools, Surveys, Card-sorting, Usability studies, Qualitative research execution, Quantitative research execution, Synthesizing complex findings, Visualize insights", "qualificationsPreferred" : "Research for 0-1 product development, Identify opportunities, Validate concepts, Shape new product experiences, Rapid prototyping environments, Iterative product development, Experimentation, Build alignment stakeholders, Presenting to stakeholders, Presenting to senior management, Presenting to fellow researchers, Curiosity about AI role", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. Mission Overview help The New York Times understand, and build empathy for, our audiences. Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world. Basic Qualifications: 8+ years of research and insights experience. Experience researching chat interfaces or GenAI search tools and using a range of GenAI tools and features in your work. Experience moderating qualitative research and facilitating brainstorms and workshops with cross-functional partners. Mastery of a range of research methods . These methods include participatory design, in-person and remote interviews, ethnographies, co-creation, and user-initiated feedback tools. Additionally, surveys, card-sorting, and usability studies are also part of the range. Experience executing qualitative and quantitative research and selecting the right approach based on the problem to be solved. Experience synthesizing complex findings into compelling narratives and visualize insights for diverse audiences. Preferred Qualifications: Experience conducting research for early-stage 0-1 product development, helping teams identify opportunities, validate concepts, and shape new product experiences. Experience working in rapid prototyping environments, using research to inform iterative product development and experimentation. Experience building alignment among cross-functional stakeholders, including Product, Design, Engineering, Editorial, and Marketing partners. Experience presenting to stakeholders, senior management, and fellow researchers. A deep curiosity about the role of AI in shaping the future of information, media, and journalism. REQ-020138 #LI-Hybrid The annual base pay range for this role is between: $140,000—$155,000 USD For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. For roles outside of the U.S., information on benefits will be provided during the interview process. We’re excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process. If you’re an Engineering candidate, we’ll let you know what specific GenAI tools you are permitted to use for your technical assessment. The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U. S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable \"Fair Chance\" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about The New York Times' privacy practices for job applicants click here. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.", "summaryDescription" : "Research Lead, New AI Products & Platforms at The New York Times. Skills: Product Management, AI Products, Research Lead. Understand audiences. Build empathy for audiences", "postedDate" : "2026-06-12T00:02:17.679", "createdAt" : "2026-06-12T00:02:17.679", "lastUpdated" : "2026-06-14T22:17:47.913", "ingestTimestamp" : "2026-06-12T00:02:17.679", "mongoId" : "6a2a47fa74d8ee00a05dced1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 140000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Qualitative research", "Quantitative research", "Participatory design", "Ethnographies", "Co-creation", "Usability studies", "Card-sorting", "Surveys", "Leadership", "Product Management", "AI Products", "Research Lead", "Product strategy", "Roadmap", "User stories", "Cross-functional collaboration", "AI", "Information", "Media", "Journalism" ], "skillCount" : 20, "jobCategory" : "other", "jobSubcategory" : "research-and-insight", "dataQualityScore" : 0.8888889, "_score" : 584.15137, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c7b3074d8ee00a0948bb3", "title" : "RAG and Evaluation Engineer", "company" : "LTS", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Senior RAG and Evaluation Engineer in the United States, adjusted for the technology industry and remote work." }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "timestamp" : "2026-06-15T06:35:36.771", "fingerprint" : "c8ac4f60b75f957ac89ea39c07d64f795375dcccacb1a7fcf649282f9414c411", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lts/jobs/4284737009", "externalId" : "4284737009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "technicalSkills" : "TypeScript, Python, RAG, BM25, Embeddings", "professionalSkills" : [ "Benchmarking", "Regression detection" ], "hardSkillsList" : [ "Chunking", "Hybrid retrieval", "Reranking", "LLM-as-judge patterns", "Synthetic data generation" ], "hardSkills" : [ { "name" : "Chunking", "level" : "intermediate" }, { "name" : "Hybrid retrieval", "level" : "intermediate" }, { "name" : "Reranking", "level" : "intermediate" }, { "name" : "LLM-as-judge patterns", "level" : "intermediate" }, { "name" : "Synthetic data generation", "level" : "intermediate" } ], "majorSkills" : "RAG, Evaluation, Retrieval pipelines", "majorSkillsList" : [ "RAG", "Evaluation", "Retrieval pipelines" ], "coreResponsibilities" : "Define metrics, Use AI tooling", "teamCollaboration" : "Fast-paced environment; Collaborative environment", "domainKnowledge" : "Healthcare IT; Legacy modernization", "domainList" : [ "healthcare-it", "legacy-modernization" ], "domainSpecificKnowledge" : [ "Healthcare IT", "Legacy modernization" ], "toolProficiency" : [ "AI tooling", "Agents" ], "innovationCreativity" : "Innovation", "qualificationsBasic" : "Production RAG system, Production retrieval pipelines, Applied evaluation skills, Production experience, Demonstrated experience in remote work", "qualificationsPreferred" : "Code-as-corpus retrieval, Applied IR background, Open-source contributions, Experience integrating feedback loops, Healthcare IT experience, Legacy modernization experience, Public technical writing, Conference talks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "LTS is seeking a RAG equivalent experience may substitute for the degree requirement. Has shipped a production RAG system with quality the candidate can describe in numbers (rigor matters more than scale). Ability to work in a fast-paced, collaborative environment. Production experience with retrieval pipelines — ingestion, chunking, embedding, hybrid retrieval, reranking. Strong applied evaluation skills — benchmark design, regression detection, LLM-as-judge patterns. Knows when BM25 beats embeddings and when neither is enough. Measures everything they ship; opinions about chunking are backed by benchmarks. Patient with detail; comfortable defining metrics before the team has agreed on them. Heavy native use of AI tooling: agents in parallel, model as collaborator. Strong TypeScript or Python. Demonstrated experience in a remote work environment. Nice to Have: Code-as-corpus retrieval (search over source code rather than prose). Applied IR or search-engine background. Synthetic data generation and LLM-as-judge patterns. Open-source contributions to retrieval, eval, or RAG tooling. Experience integrating retrieval feedback loops with production usage. Healthcare IT or legacy modernization domain experience. Public technical writing or conference talks on retrieval or evaluation. What’s in it for you? The opportunity to support high visibility federal missions in IT and healthcare A culture that values innovation, growth, collaboration, and quality Access to cutting-edge tools and technologies Comprehensive benefits for you and your family A career path that rewards ambition and performance If you’re ready to push boundaries, sharpen your skills, and join a team that is passionate about building what’s next, we’d love to meet you. Apply today and let’s build a future together! LTS shares salary ranges to promote transparency. Compensation ranges are provided for informational purposes, and final compensation may vary based on experience, skills, location, and role requirements. LTS is committed to offering eligible employees comprehensive benefits that will provide them with options intended to meet their needs and the needs of their family.", "summaryDescription" : "RAG and Evaluation Engineer at LTS. Skills: RAG, Evaluation, Retrieval pipelines. Define metrics. Use AI tooling", "postedDate" : "2026-06-13T20:58:18.293", "createdAt" : "2026-06-13T20:58:18.293", "lastUpdated" : "2026-06-15T06:35:36.771", "ingestTimestamp" : "2026-06-13T20:58:18.293", "mongoId" : "6a2c7b3074d8ee00a0948bb3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Chunking", "Hybrid retrieval", "Reranking", "LLM-as-judge patterns", "Synthetic data generation", "RAG", "Evaluation", "Retrieval pipelines", "Benchmarking", "Regression detection", "Healthcare IT", "Legacy modernization", "AI tooling", "Agents" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 578.8903, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7dc574d8ee00a0950bf2", "title" : "Hardware Engineer (IoT)", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Hardware Engineer (IoT) in Taiwan, adjusted for industry and company size." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-16T05:08:16.154", "fingerprint" : "93a5977953d9e37a11ee0e03111ca9d3b2feb598aae8ca6b11d0c0d5fad44323", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4253466009", "externalId" : "4253466009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceMaxYears" : 15, "experienceLevel" : "Senior", "technicalSkills" : "BLE, Zigbee, Wi-Fi, Sub-GHz, PMIC, Charger IC, Battery protection circuits, SI, Antenna tuning, AC circuits", "professionalSkills" : [ "Board-level design", "Low-power optimization", "Battery life estimation", "Power architecture", "NPI", "Mass production", "Yield improvement", "Factory execution" ], "hardSkillsList" : [ "ΜA-level current measurement", "Power budget planning", "Regulatory certification" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "ΜA-level current measurement", "level" : "intermediate" }, { "name" : "Power budget planning", "level" : "intermediate" }, { "name" : "Regulatory certification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Hardware design, Low-power design, Battery products, IoT", "majorSkillsList" : [ "Hardware design", "Low-power design", "Battery products", "IoT" ], "coreResponsibilities" : "Lead hardware design, Define power architecture, Conduct battery life estimation, Drive low-power optimization, Design PMIC circuits, Integrate wireless connectivity solutions, Lead EMC / ESD debug, Bring products through certification, Serve as technical interface, Partner with firmware teams, Partner with mechanical teams, Partner with QA teams, Partner with PM teams, Mentor junior engineers, Share best practices", "teamCollaboration" : "Cross-functional teams; EMS / ODM partners; Firmware teams; Mechanical teams; QA teams; PM teams", "projectManagementSkills" : [ "NPI", "Mass production ramp-up" ], "domainKnowledge" : "Battery-powered products; IoT lighting; Control devices; Primary lithium; Rechargeable Li-ion; Wireless connectivity; Smart home products; Smart building products; Security products", "domainList" : [ "battery-powered-products", "iot-lighting", "control-devices", "primary-lithium", "rechargeable-li-ion", "wireless-connectivity", "smart-home-products", "smart-building-products", "security-products" ], "domainSpecificKnowledge" : [ "Battery-powered products", "IoT lighting", "Control devices", "Primary lithium", "Rechargeable Li-ion", "Wireless connectivity", "Smart home products", "Smart building products", "Security products" ], "communicationSkills" : "Cross-functional communication", "problemSolvingSkills" : "Debug", "outcomesObjectives" : "Bring products to market; Meet design targets; Meet schedule targets; Meet quality targets", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering, 10–15 years hardware design experience, Experience with battery-powered products, Solid expertise in low-power design, Proficiency in PMIC design, Hands-on experience with wireless protocol, Hands-on EMC / ESD debug experience, Experience collaborating with EMS / ODM factories, Cross-functional communication skills", "qualificationsPreferred" : "Master's degree, Experience leading hardware projects, Experience shipping IoT products at scale, Familiarity with smart home products, Proficiency in more than one wireless protocol, Experience with motor control design, Experience with LED driver design, Experience with multi-region regulatory certifications, English communication for daily collaboration", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary We are looking for a hands-on Senior Hardware Engineer to lead the design and mass production of our battery-powered IoT product lines. This role will drive board-level design, low-power optimization, and EMS/ODM coordination, partner with cross-functional teams on NPI and certification, and help bring our next generation of USL/UC products to market. Responsibilities (What he/she will do after joining UI) Lead the hardware design of battery-powered portable products and IoT lighting / control devices from concept through mass production. Define power architecture and conduct battery life estimation for primary lithium (CR series) and rechargeable Li-ion applications. Drive low-power optimization through µA-level current measurement, sleep / wake-up strategy design, and power budget planning. Design and review PMIC, charger IC, and battery protection circuits to ensure product safety and reliability. Integrate wireless connectivity solutions (BLE, Zigbee, Wi-Fi, or Sub-GHz) into product designs, including SI and antenna tuning. Lead EMC / ESD debug and bring products through regulatory certification independently. Serve as the dedicated technical interface with EMS / ODM partners for NPI, mass production ramp-up, and ongoing yield improvement. Partner with firmware, mechanical, QA, and PM teams to deliver products that meet design, schedule, and quality targets. Mentor junior engineers and share best practices on low-power design, battery products, and factory-side execution. Requirement (Must-Haves) Bachelor’s degree in Electrical Engineering, Electronics, or a related field. 10–15 years of hands-on hardware design experience in consumer electronics or IoT products. Proven experience with battery-powered portable products, including both CR primary discharge and Li-ion applications. Solid expertise in low-power design, including µA-level current measurement and battery life estimation. Strong proficiency in PMIC, charger IC, and battery protection circuit design. Hands-on experience with at least one wireless protocol (BLE, Zigbee, Wi-Fi, or Sub-GHz). Hands-on EMC / ESD debug experience, with the ability to lead products through certification independently. Practical experience collaborating with EMS / ODM factories, including NPI, mass production, and yield improvement. Familiarity with IoT, lighting, or other control-related designs (basic understanding of AC circuits is sufficient). Strong cross-functional communication skills with firmware, mechanical, QA, and PM teams. Preferred Qualifications Master’s degree in Electrical Engineering, Electronics, or a related field. Experience leading hardware projects end-to-end from concept to mass production as a project lead or technical owner. Experience designing and shipping consumer or commercial IoT products at scale. Familiarity with smart home, smart building, or security products (e.g., sensors, sirens, smart lighting). Proficiency in more than one wireless protocol (e.g., BLE + Wi-Fi, or Zigbee + Thread). Experience with motor control or LED driver design. Experience with multi-region regulatory certifications (US, EU, etc.). Strong English communication for daily collaboration with overseas teams and EMS / ODM partners.", "summaryDescription" : "Hardware Engineer (IoT) at Ubiquiti. Skills: Hardware design, Low-power design, Battery products, IoT. Lead hardware design. Define power architecture", "postedDate" : "2026-06-14T20:03:52.703", "createdAt" : "2026-06-14T20:03:52.703", "lastUpdated" : "2026-06-16T05:08:16.154", "ingestTimestamp" : "2026-06-14T20:03:52.703", "mongoId" : "6a2c7dc574d8ee00a0950bf2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "ΜA-level current measurement", "Power budget planning", "Regulatory certification", "Mentoring", "Hardware design", "Low-power design", "Battery products", "IoT", "Board-level design", "Low-power optimization", "Battery life estimation", "Power architecture", "NPI", "Mass production", "Yield improvement", "Factory execution", "Mass production ramp-up", "Battery-powered products", "IoT lighting", "Control devices", "Primary lithium", "Rechargeable Li-ion", "Wireless connectivity", "Smart home products", "Smart building products", "Security products" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 577.8611, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cafbd74d8ee00a09d7aae", "title" : "Product Manager (AI Hardware)", "company" : "Artificial Analysis", "industry" : "Product", "salary" : { "min" : 165000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Product Manager in San Francisco, adjusted for the technology industry and manager experience." }, "location" : "San Francisco (On-site)", "locations" : [ "San Francisco (On-site)" ], "timestamp" : "2026-06-15T03:24:50.590", "fingerprint" : "826431f951d514a26d54e5382def9aa992087e60d368740b6c8ae2f2f286b3ec", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/artificialanalysis/36262f57-d5fe-40d1-8add-953cff832ddf/application", "externalId" : "36262f57-d5fe-40d1-8add-953cff832ddf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AI, Silicon, GPUs, TPUs, Custom silicon, Python, Pandas, NumPy, Matplotlib, PyTorch, TensorFlow, CUDA, TensorRT, VLLM", "professionalSkills" : [ "Product strategy", "Roadmap development", "Performance benchmarking", "Cost modeling", "Price-performance analysis", "Community engagement", "Industry standards" ], "hardSkillsList" : [ "Performance benchmarking", "Cost modeling", "Throughput analysis", "Latency analysis", "Price-performance analysis" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Performance benchmarking", "level" : "intermediate" }, { "name" : "Cost modeling", "level" : "intermediate" }, { "name" : "Throughput analysis", "level" : "intermediate" }, { "name" : "Latency analysis", "level" : "intermediate" }, { "name" : "Price-performance analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "AI hardware, Product management, Benchmarking", "majorSkillsList" : [ "AI hardware", "Product management", "Benchmarking" ], "coreResponsibilities" : "Contribute to AI hardware product strategy, Execute roadmap for accelerator evaluation platforms, Develop features with engineers, Code features yourself, Build and maintain benchmarking methodologies, Measure throughput, Measure latency, Measure price-performance, Benchmark new silicon, Benchmark new providers, Understand AI inference economics, Translate insights into evaluation frameworks, Amplify impact of hardware benchmarks, Collaborate to maximize content impact, Work with chipmakers, Work with inference providers, Benchmark accelerators, Understand accelerator capabilities, Shape industry standards, Embrace AI-native workflow, Use AI tools for leverage", "teamCollaboration" : "Cross-functional collaboration; Collaborating with engineering; Collaborating with analysis colleagues; Collaborating with founders; Collaborating with team; Collaborating with product", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "AI hardware; Inference chips; Accelerators; GPUs; TPUs; Custom silicon; AI benchmarking; AI capabilities; AI strategies; AI silicon; AI inference; Compute economics; Computer architecture; AI language models", "domainList" : [ "ai-hardware", "inference-chips", "accelerators", "gpus", "tpus", "custom-silicon", "ai-benchmarking", "ai-capabilities", "ai-strategies", "ai-silicon", "ai-inference", "compute-economics", "computer-architecture", "ai-language-models" ], "domainSpecificKnowledge" : [ "AI hardware", "Inference chips", "Accelerators", "GPUs", "TPUs", "Custom silicon", "AI benchmarking", "AI capabilities", "AI strategies", "AI silicon", "AI inference", "Compute economics", "Computer architecture", "AI language models" ], "toolProficiency" : [ "AI tools" ], "communicationSkills" : "Explaining technical topics", "problemSolvingSkills" : "Analytical thinking; Critical thinking", "qualificationsBasic" : "Analytical and critical thinking skills, Excitement about AI, Eagerness to work at forefront, Demonstrated excellence academically, Demonstrated excellence professionally, Real interest in AI hardware", "qualificationsPreferred" : "Experience at AI hardware startup, Experience at inference/infrastructure company, Experience at chip company, Experience with GPU/accelerator benchmarking, Experience with systems performance engineering, Understanding of inference economics, Experience in strategy consulting, Academic success in technical degree, Writing skills, Visual communication skills, Perspective on AI scaling laws, Familiarity with inference software stack, Familiarity with modern AI language models, Experience working in software engineering, Experience working in data science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT ARTIFICIAL ANALYSIS Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don't just measure the cutting edge of AI, they are actively shaping the frontier. Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist. We are a team of 35+, on track to triple by year end, backed by Nat Friedman (Github, Meta), Daniel Gross (SSI), Andrew Ng (Google Brain, DeepLearning.ai http://DeepLearning.ai, Amazon), Adam D'Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders. THE OPPORTUNITY We're hiring for a Product Manager focused on AI hardware — the inference chips and accelerators that the entire AI industry runs on (GPUs, TPUs, and the growing wave of custom silicon). You'll work closely with us to develop and enhance our hardware benchmarks and leaderboards, contributing to product strategy and execution at the intersection of silicon and AI. This is a hands-on, technical product role: you'll drive day-to-day operations for our hardware benchmarking offering and be a key contributor to product development, collaborating closely with engineering and analysis colleagues, as well as our founders. You'll design and run performance benchmarks, build cost and throughput models, and work with top chipmakers and inference providers to benchmark their latest accelerators. If you're excited about cutting-edge AI silicon and care deeply about how the economics and performance of inference are evolving (from hyperscale deployments to startups optimizing every dollar of compute), this role offers a front-row seat to the next wave of AI. WHAT YOU’LL DO - Product Development for Hardware AI Benchmarking: Contribute to AI hardware product strategy and help execute the roadmap for our accelerator evaluation platforms, covering GPUs, TPUs, custom inference silicon, and emerging architectures — including working with engineers on our team to develop features and potentially coding features yourself - Curate and Develop Hardware Evaluation Frameworks: Build and maintain comprehensive benchmarking methodologies that measure throughput, latency (e.g. tokens per second, time-to-first-token), and price-performance across accelerators and inference configurations, reflecting how the industry actually deploys models in production today and how it will in the coming months and years - Hardware Operations: Ensure that coverage of chips and accelerators across Artificial Analysis stays up to date by benchmarking new silicon and providers as they launch — both working with our development team and using our internal tooling yourself - Price-Performance & Cost Analysis: Deeply understand the economics of AI inference — how cost-per-token, utilization, and hardware choice interact — and translate these insights into evaluation frameworks that help users make real deployment and procurement decisions - Strategic Marketing Support and Community Engagement: Help amplify the impact of our hardware benchmarks, collaborating with our team to maximize impact of our content across platforms and audiences - Industry Engagement: Work with leading chipmakers and inference providers to benchmark their accelerators, understanding their capabilities and helping shape industry standards for how AI hardware performance and efficiency are evaluated - Become AI-Native: Embrace an AI-native workflow, using the latest AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking WHAT WE’RE LOOKING FOR Required: - Strong analytical and critical thinking skills - Excitement about AI and eagerness to work at the forefront of technological innovation - Demonstrated excellence, both academically and professionally - Real interest in AI hardware and the silicon powering modern AI Beyond that, this opportunity could potentially suit a wide range of backgrounds. We believe that the following skills and experience would likely be helpful for success in this role. We're not expecting any single candidate to tick off the entire list, but these are some things that we think would be valuable: - Experience at an AI hardware startup, inference/infrastructure company, or chip company (e.g. Cerebras, Groq, SambaNova, Tenstorrent, Together AI, Fireworks, Baseten, or similar) — especially in roles touching AI accelerators or inference hardware - Experience with GPU/accelerator performance benchmarking, characterization, or systems performance engineering - Understanding of inference economics and price-performance — cost-per-token, utilization, total cost of ownership of compute - Experience in strategy consulting - Academic success in a technical degree programme, especially related to AI, computer architecture, or hardware (e.g. Computer Science, Electrical/Computer Engineering), or in a related technical field (e.g. Physics, Maths) - Strong writing skills, especially in relation to explaining technical topics to both technical and non-technical audiences - Visual communication skills (e.g. making slides, visualizing data) - A strong perspective on AI scaling laws — and specifically their implications for inference hardware and compute demand - Familiarity with the inference software stack (e.g. CUDA, TensorRT, vLLM, or similar serving frameworks) and how it interacts with underlying hardware - Familiarity with modern AI language models (e.g. developing systems leveraging LLMs as a component) - Experience working in software engineering or data science - Proficiency in Python and data analysis libraries (e.g. pandas, numpy, matplotlib); experience with AI/ML frameworks (e.g. PyTorch, TensorFlow) WHY ARTIFICIAL ANALYSIS? - Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI. - Become a world expert in AI: You will evaluate every major model and accelerator, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI. - Work with the most important players in AI: You'll manage relationships with teams at the leading chipmakers, AI labs and major enterprises as a trusted, independent voice. - Join at a defining moment: We're 35+ people and growing fast, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale. - Competitive compensation including equity ", "summaryDescription" : "Product Manager (AI Hardware) at Artificial Analysis. Skills: AI hardware, Product management, Benchmarking. Contribute to AI hardware product strategy. Execute roadmap for accelerator evaluation platforms", "createdAt" : "2026-06-13T22:17:35.477", "lastUpdated" : "2026-06-15T03:24:50.590", "ingestTimestamp" : "2026-06-13T22:17:35.477", "mongoId" : "6a2cafbd74d8ee00a09d7aae", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Performance benchmarking", "Cost modeling", "Throughput analysis", "Latency analysis", "Price-performance analysis", "Critical thinking", "AI hardware", "Product management", "Benchmarking", "Product strategy", "Roadmap development", "Community engagement", "Industry standards", "Roadmap planning", "Inference chips", "Accelerators", "GPUs", "TPUs", "Custom silicon", "AI benchmarking", "AI capabilities", "AI strategies", "AI silicon", "AI inference", "Compute economics", "Computer architecture", "AI language models", "AI tools" ], "skillCount" : 28, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 569.50024, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c758574d8ee00a09373d0", "title" : "Research and Prototyping Engineer", "company" : "Arcturus", "industry" : "Internships", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Research and Prototyping Engineer in Los Angeles, USA, adjusted for the manufacturing industry and company size." }, "location" : "Los Angeles", "locations" : [ "Los Angeles" ], "timestamp" : "2026-06-16T00:35:02.360", "fingerprint" : "60b7b2bab613507741ba9b1d2dbe513763b0bd02e3cad4ed6c0c834d56185519", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/arcturus/f6cc56f2-38d0-4fb5-90b9-ae3650118f35/application", "externalId" : "f6cc56f2-38d0-4fb5-90b9-ae3650118f35", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "CAD, Raman spectroscopy, Microscopy, SEM/EDS, Electrical testing, Mechanical testing", "professionalSkills" : [ "Supplier research", "Experimental tracking", "Fixture development", "Sample preparation", "Technical documentation" ], "hardSkillsList" : [ "Materials science", "Additive manufacturing", "Process engineering", "Materials characterization" ], "hardSkills" : [ { "name" : "Materials science", "level" : "intermediate" }, { "name" : "Additive manufacturing", "level" : "intermediate" }, { "name" : "Process engineering", "level" : "intermediate" }, { "name" : "Materials characterization", "level" : "intermediate" } ], "majorSkills" : "Materials science, Additive manufacturing, Process engineering, Testing", "majorSkillsList" : [ "Materials science", "Additive manufacturing", "Process engineering", "Testing" ], "coreResponsibilities" : "Support technical team across experiments, Conduct literature research, Perform supplier research, Prepare samples, Develop fixtures, Perform testing, Maintain documentation, Build and maintain supplier database, Organize recipe matrix, Support nanomaterial handling, Track experimental results, Build and maintain chamber BOMs, Track vendor quotes, Support fixture and tooling development, Organize fixture CAD library, Support additive manufacturing experiments, Support flash sintering fixture iterations, Create and improve sample preparation SOPs, Support cylinder coupon workflows, Translate experimental procedures into work instructions, Support internal materials testing, Prepare samples for external testing, Coordinate with external vendors and labs, Maintain clear technical documentation", "teamCollaboration" : "Work closely with technical leads; Work with senior engineers", "domainKnowledge" : "Carbon nanomaterials; Additive manufacturing; Electrification; Materials science; Powder processing", "domainList" : [ "carbon-nanomaterials", "additive-manufacturing", "electrification", "materials-science", "powder-processing" ], "domainSpecificKnowledge" : [ "Carbon nanomaterials", "Additive manufacturing", "Electrification", "Materials science", "Powder processing" ], "toolProficiency" : [ "Onshape" ], "documentationSkills" : "Technical documentation; Lab notes; Test summaries; Experimental results", "continuousLearning" : "Willingness to learn across multiple disciplines", "innovationCreativity" : "Prototype development", "qualificationsBasic" : "BS, MS, or PhD in materials science, mechanical engineering, chemical engineering, electrical engineering, physics, chemistry, manufacturing engineering, or a related technical field, Technical curiosity and willingness to learn, Comfortable working hands-on in a lab, shop, or experimental environment, Highly organized, detail-oriented, and reliable with documentation, Able to take direction, ask good questions, and execute quickly, Excited to work in a fast-moving startup environment", "qualificationsPreferred" : "Experience working in a research lab, hardware startup, university lab, or advanced manufacturing environment, Experience with carbon nanomaterials, graphene, carbon nanotubes, metallurgy, additive manufacturing, powder processing, or materials characterization, Familiarity with Raman spectroscopy, microscopy, SEM/EDS, electrical testing, mechanical testing, polishing, or sample preparation, CAD experience, ideally with Onshape or similar tools, Experience with literature reviews, supplier research, technical databases, or experimental documentation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Arcturus Arcturus is creating a new wire technology stack that uses carbon nanomaterials to overcome the materials limitations of metals where performance breaks down, at real operating temperatures. Our technology is designed to significantly improve the performance of electric motors for drones and robotics, heat sinks, and ultimately the entire energy grid. At its core, Arcturus is developing a new class of carbon nanomaterial-infused metal matrix composites for high-performance conductor applications. Why you should join us This is a ground-floor opportunity to help build something that has never been done before. You would join as an early technical co-op and work closely with Arcturus’ technical team across nanomaterials, additive manufacturing, process engineering, and testing. This is a hands-on role for someone who wants to learn quickly, contribute directly, and help build the experimental foundation for a first-of-its-kind materials platform. Purpose We are seeking a Research and Prototyping Engineer Co-op who can support the technical team across experiments, literature research, supplier research, sample preparation, fixture development, testing, and documentation. This role is intentionally broad. You do not need to be an expert in every area, but you should be highly curious, organized, hands-on, and excited to work at the intersection of materials science, advanced manufacturing, and electrification. The role This role will work closely with Arcturus’ technical leads and senior engineers. Nanomaterials - Build and maintain a carbon nanomaterial and powder supplier database, including vendors, material specs, pricing, lead times, and sample availability - Help organize a recipe matrix for carbon nanomaterial integration, including material type, loading level, feedstock, processing route, and resulting performance - Support basic nanomaterial handling, sample preparation, documentation, and experimental tracking Additive Manufacturing - Help build and maintain chamber BOMs, equipment lists, vendor quote trackers, and component comparison tables - Support fixture and tooling development through CAD, ideally in Onshape or a similar CAD platform - Help organize a fixture CAD library for experimental setups, sample holders, coupons, and test hardware - Support additive manufacturing experiments through preparation, documentation, build tracking, and post-build sample handling Process Engineering - Support flash sintering fixture iterations, including CAD updates, part sourcing, assembly, testing, and documentation - Help create and improve sample preparation SOPs for polishing, sectioning, mounting, cleaning, labeling, and tracking - Support cylinder coupon workflows, including sample preparation, processing, inspection, measurement, and documentation - Help translate experimental procedures into clear, repeatable work instructions and lab notes Testing and Characterization - Support internal materials testing, including Raman spectroscopy, electrical characterization, mechanical characterization, polishing, microscopy, and other methods as needed - Help prepare samples and data packages for external testing, vendor evaluation, partner validation, and customer-facing demonstrations - Coordinate with external vendors and labs for quotes, sample shipments, testing status, and results tracking - Maintain clear technical documentation, including lab notes, test summaries, experimental results, and lessons learned Basic qualifications - Currently pursuing or recently completed a BS, MS, or PhD in materials science, mechanical engineering, chemical engineering, electrical engineering, physics, chemistry, manufacturing engineering, or a related technical field - Strong technical curiosity and willingness to learn across multiple disciplines - Comfortable working hands-on in a lab, shop, or experimental environment - Highly organized, detail-oriented, and reliable with documentation - Able to take direction, ask good questions, and execute quickly - Excited to work in a fast-moving startup environment where priorities can change quickly Preferred qualifications - Experience working in a research lab, hardware startup, university lab, or advanced manufacturing environment - Experience with carbon nanomaterials, graphene, carbon nanotubes, metallurgy, additive manufacturing, powder processing, or materials characterization - Familiarity with Raman spectroscopy, microscopy, SEM/EDS, electrical testing, mechanical testing, polishing, or sample preparation - CAD experience, ideally with Onshape or similar tools - Experience with literature reviews, supplier research, technical databases, or experimental documentation What we offer - Hands-on technical experience with first-of-its-kind materials and manufacturing challenges - The chance to work closely with senior technical leads across nanomaterials, additive manufacturing, process engineering, and testing - Real ownership over useful technical projects, databases, fixtures, experiments, and documentation - Up to a one-year co-op experience with direct exposure to early-stage deeptech startup building. If the fit is right, we'd love to bring you on to the team! If this role excites you, even if you do not check every box, we’d love to hear from you. We’d rather work with a fast learner who cares deeply about the work than someone with years of experience but little curiosity.", "summaryDescription" : "Research and Prototyping Engineer at Arcturus. Skills: Materials science, Additive manufacturing, Process engineering, Testing. Support technical team across experiments. Conduct literature research", "createdAt" : "2026-06-14T20:11:35.092", "lastUpdated" : "2026-06-16T00:35:02.360", "ingestTimestamp" : "2026-06-14T20:11:35.092", "mongoId" : "6a2c758574d8ee00a09373d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Materials science", "Additive manufacturing", "Process engineering", "Materials characterization", "Testing", "Supplier research", "Experimental tracking", "Fixture development", "Sample preparation", "Technical documentation", "Carbon nanomaterials", "Electrification", "Powder processing", "Onshape" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 569.3649, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d0c3874d8ee00a0acf587", "title" : "Director of Product (Hardware, Electronics)", "salary" : { "min" : 220000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Product in New York, adjusted for the technology industry and director-level seniority." }, "location" : "New York, NY", "locations" : [ "New York, NY" ], "timestamp" : "2026-06-16T01:28:13.293", "fingerprint" : "f5056abb0a3f22a97ff40dee5dfdd831ea94d568e22a3779a11167bc803ceece", "source" : "jazzhr", "language" : "en", "externalId" : "jUXbcL8DFM", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceLevel" : "Director", "coreResponsibilities" : "Develop product strategy, Define product roadmap, Write user stories, Collaborate cross-functionally", "summaryDescription" : "Director of Product (Hardware, Electronics). 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WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. The Hardware Accelerate team develops technology that enables rapid innovation across WHOOP’s Hardware organization. By creating cutting-edge tools and systems, we streamline workflows and provide real-time insights to engineers, ensuring efficient and high-quality hardware development. As a Backend Software Engineer, you will design and implement tools that integrate seamlessly with hardware processes, delivering impactful solutions to WHOOP’s engineering teams. RESPONSIBILITIES: - - Design and build backend solutions to support hardware development, bringing data to those who need it with robust backend systems. - Create tools that integrate with hardware equipment like environmental chambers, oscilloscopes, and other engineering devices. - Develop APIs and services to enhance connectivity across hardware workflows. - Automate and maintain high-throughput data pipelines to provide real-time insights to engineering teams. - Collaborate with cross-functional hardware teams to identify and address pain points in development workflows. - Ensure systems are reliable, scalable, and aligned with WHOOP’s mission to deliver innovative hardware solutions. QUALIFICATIONS: - - Proficiency in Python for backend development, with experience designing APIs and building distributed systems. - Experience with data pipelines, database systems, and tool integration for hardware workflows. - A collaborative mindset and ability to work in a fast-paced, feedback-driven environment. - Interest in or exposure to hardware development processes, with a willingness to learn. - Comfortable working in a fast-paced, high-growth environment with a strong sense of ownership. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. - Bonus: experience building front-end applications using frameworks like React, Vue, or Angular. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. 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. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $125,000- $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.", "summaryDescription" : "Software Engineer II (Backend, Hardware Accelerate) at WHOOP. Skills: Machine learning, Deep learning, Distributed systems, Hardware acceleration. Design and implement machine learning models. Develop and optimize deep learning algorithms", "createdAt" : "2026-06-14T20:12:26.630", "lastUpdated" : "2026-06-16T04:35:17.009", "ingestTimestamp" : "2026-06-14T20:12:26.630", "mongoId" : "6a2c8c8274d8ee00a0975b07", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithm development", "Data processing", "Machine learning", "Deep learning", "Distributed systems", "Hardware acceleration", "System design", "Cloud platforms", "Embedded systems", "PyTorch", "TensorFlow", "CUDA" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 564.5426, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a161fa658b93c861e91a836", "title" : "Monitoring and Evaluation Manager (M&E)", "company" : "New Incentives", "salary" : { "min" : 1.0E7, "max" : 1.5E7, "currency" : "NGN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager-level M&E role in Healthcare in Northeast Nigeria, adjusted for seniority and industry." }, "location" : "Northeast, NG", "locations" : [ "Northeast", "NG" ], "timestamp" : "2026-06-15T05:27:27.441", "fingerprint" : "4e41d0cdf88e1e9f0bf59358ecbfc54977c11cc39dfc6dc27273e8f6e29b5d8d", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://new-incentives.breezy.hr/p/d8080b3598c1-monitoring-and-evaluation-manager-m-e", "externalId" : "d8080b3598c1", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Nigeria", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Nigeria", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "coreResponsibilities" : "Provide incentives to increase childhood vaccination rates, Save lives in the most cost-effective way", "outcomesObjectives" : "Increase childhood vaccination rates; Save lives cost-effectively", "rawDescription" : "Organization Overview: NI-ABAE is an evidence-based organization that aims to provide incentives to increase childhood vaccination rates and save lives in the most cost-effective way. 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Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,200 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us. ATTRIBUTES WE VALUE We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles https://www.airwallex.com/us/operating-principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next. About the Team The Founders’ Lab is Airwallex’s elite internal innovation hub. Operating like an agile startup backed by our global network, we partner directly with our CEO and Co-Founder to architect, build, and ship next-generation Fintech AI Innovations and 0-to-1 product lines. We don't build in isolation, nor do we over-engineer for theoretical problems. Our mandate is high-velocity validation: we take raw, ambitious, and ambiguous concepts from the executive suite, build the MVP, and deploy it onto our global financial infrastructure to test with real users. We look for High-Agency Builders. There are no layers of middle management or rigid ticketing queues here. You will hold complete end-to-end technical and product ownership—wearing the hat of a Product Manager to define the what and the why, and acting as a lead engineer to build the how. What You’ll Do - Collaborate on 0-to-1 Products: Partner with the CEO and global leadership to translate high-level strategic visions and AI capabilities into functional, market-ready software. - Drive Fintech AI Innovation: Lead the technical evaluation and implementation of emerging AI technologies and intelligent workflows, figuring out how they can best serve our financial platform. - Balance Speed with Maintainability: Make pragmatic architectural decisions. You know when to build a quick prototype to validate an idea, and how to structure it so that it can be successfully handed off and scaled if it succeeds. - Own the Full Stack: While steering backend architecture and systems design, you are comfortable working across the entire stack to deliver complete solutions, from data models to user interfaces. - Bootstrap Future Teams: Help lay the technical foundation for successful incubation projects, ensuring a smooth transition as they grow into standalone product lines within Airwallex. Minimum Qualifications - 10+ years of software engineering experience, with a background that includes operating at a Staff level or leading technical direction in fast-paced, greenfield environments. - Strong Product Sense: You look at engineering through a commercial lens. You care about user experience, business impact, and why a product is being built, not just the code itself. - Comfort with Ambiguity: You enjoy working in spaces where requirements aren't fully defined yet, and you can independently map out technical specs from high-level direction. - Pragmatic Problem Solver: You are resourceful, self-directed, and focused on delivering outcomes, finding efficient ways to work through technical or institutional blockers. - Deep Backend & Full-Stack Capabilities: Solid fundamentals in high-performance backend ecosystems alongside the practical ability to build frontend interfaces when moving quickly. - Clear Communication: Ability to discuss deep technical trade-offs with core infrastructure teams and present clear, simplified product outcomes to executive stakeholders. Preferred Qualifications - Experience building software that leverages Generative AI, LLMs, or automated agent workflows. - Experience in fintech, payments, multi-currency ledgering, or regulated financial systems. - Prior experience as a founding engineer, tech lead of an R&D team, or technical co-founder. APPLICANT SAFETY POLICY: FRAUD AND THIRD-PARTY RECRUITERS To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com http://airwallex.com email address. Please apply only through careers.airwallex.com http://careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. EQUAL OPPORTUNITY Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.", "summaryDescription" : "Staff Software Engineer, New Products at Airwallex", "postedDate" : "2026-06-11T16:23:57.743", "createdAt" : "2026-06-11T16:23:57.743", "lastUpdated" : "2026-06-12T21:08:49.917", "ingestTimestamp" : "2026-06-11T16:23:57.743", "mongoId" : "6a2a4fd974d8ee00a05f12aa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Fintech", "Payments", "Multi-currency ledgering", "Regulated financial systems" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "cto-office", "dataQualityScore" : 1.0, "_score" : 558.34155, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "68e6b1d870f0b99d58d66a93", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, Advertising", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for mid-seniority Software Development Engineers in Toronto, Canada, adjusted for company size and industry." }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "timestamp" : "2026-06-15T06:23:06.930", "fingerprint" : "fe1b236160a4f76ce35542d2eca49e648160786e388346a96fb051be61c924b5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3103281/apply", "externalId" : "f1f50995-8241-4a95-aa1d-c54ae42ef0d8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Gen AI, ML, Large Language Models, Cloud technologies", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Distributed systems", "Conversational AI", "Natural language interactions" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Conversational AI", "level" : "intermediate" }, { "name" : "Natural language interactions", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Large Language Models, Advertising technology", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Advertising technology" ], "coreResponsibilities" : "Design Agentic service platform, Develop Agentic service platform, Optimize operation costs, Utilize resources efficiently, Consume tokens efficiently, Minimize memory footprint, Collaborate with cross-functional teams, Integrate AI-driven solutions, Pioneer new approaches, Shape future of business connection, Create scalable systems, Process millions data points, Deliver hyper-personalized ad experiences, Architect AI platform, Build AI platform, Design scalable APIs, Maintain scalable APIs, Orchestrate agent connections, Build agent-to-agent protocols, Manage agent state, Deliver streaming pipelines, Deliver event-driven pipelines, Support real-time customizations, Integrate with 1P experiences, Build infrastructure governance, Expose systems safely, Empower partners to create experiences, Provide personalized insights, Provide guidance, Account for advertiser catalog, Account for performance metrics, Tailor full page experience, Update individual widgets, Provide interactive automated experience, Provide data-backed guidance, Make autonomous decisions, Execute actions on behalf, Optimize AI for Sales pitches", "teamCollaboration" : "Cross-functional teams; Agent-to-agent communication; Agent-to-service interactions", "domainKnowledge" : "Generative AI; Large Language Models; Advertising ecosystem; Agentic systems; AI governance; AI safety", "domainList" : [ "generative-ai", "large-language-models", "advertising-ecosystem", "agentic-systems", "ai-governance", "ai-safety" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Advertising ecosystem", "Agentic systems", "AI governance", "AI safety" ], "innovationCreativity" : "Pioneer new approaches; Creative problem-solver", "problemSolvingSkills" : "Creative problem-solver; Tackling complex challenges", "outcomesObjectives" : "Deliver low latency experiences; Deliver secure experiences; Drive business impact", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture experience, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's in Computer Science, Shipped Gen AI features at scale, Deep understanding AI trust safety", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • Design and develop a state-of-the-art Agentic service platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences • Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale. • Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem • Pioneer new approaches to conversational AI and natural language interactions in advertising • Shape the future of how businesses connect with customers through AI-powered advertising • Create scalable systems that process millions of data points to deliver hyper-personalized ad experiences What we're looking for: • Passionate about Generative AI, Large Language Models, and their real-world applications • Strong software engineering skills with experience in distributed systems and cloud technologies • Creative problem-solver who thrives in ambiguity and loves tackling complex challenges • Track record of delivering innovative solutions that drive business impact • Enthusiasm for staying current with the rapidly evolving AI landscape A day in the life As a Software Development Engineer on the Sponsored Products and Brands Agentic Guidance Integrations (SPB-AGI) team, you will architect and build the next-generation AI platform that will power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. You are: • Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making. • Team obsessed: You help the team achieve outstanding results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results. • Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team. • Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers • Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges About the team We're looking for a brilliant Software Development Engineer to spearhead our Sponsored Products and Brands Agentic Guidance Integrations (SPB-AGI) team. The team owns the foundational infrastructure for SPB agentic experiences, providing a unified entry point for internal and external agentic applications. We design and maintain scalable APIs and orchestration layers that allow agents to reliably connect with first-party and partner systems. Our responsibilities include building durable agent-to-agent communication protocols for discovery, negotiation, and task handoff; lifecycle management for agent sessions; and state management frameworks that allow agents to persist context across multi-step workflows. The team delivers streaming and event-driven integration pipelines to support real-time customizations and integrations with 1P experiences. We also own the infrastructure governance layers including standardized access-control frameworks, data masking and retention policies, rate-limiting, audit logging, and safety guardrails that ensure predictable, compliant agent behavior across environments. To support scale, the team invests in observability platforms for debugging agent-to-agent and agent-to-service interactions, performance optimization of orchestration layers, and telemetry-driven insights. We also extend the platform to external developers and partners by exposing systems safely to empower partners to create new agentic experiences while inheriting all governance, security, and scaling guarantees of the platform. These agentic experiences include personalized insights, guidance, holistically accounting for an advertiser's product catalog, performance metrics, and other relevant signals. Examples of surfaces that will leverage the SPB Agent include but not limited to: 1) Personalization for an advertiser's experience throughout the Advertiser Console where the SPB Agent will utilize advertiser and page level context to determine how to tailor a full page experience to an advertiser, updating individual widgets with recommendations or filtering capabilities that are most applicable, 2) an AI companion in Next Gen Selling, Seller Central or Seller Assistant that provides a personalized, interactive and automated experience where Selling Partners receive data-backed guidance for growing their business, making autonomous decisions and executing actions on behalf of sellers and 3) AI for Sales pitches that are optimized through the SPB Agent insights. Why join us? • Be part of a team that's defining the future of AI in advertising • Work on projects with massive scale and impact, reaching millions of businesses and consumers • Collaborate with world-class AI researchers and engineers • Access to cutting-edge AI technologies and resources Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations 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" : "Software Development Engineer, Sponsored Products and Brands at Amazon Development Centre Canada ULC. Skills: Generative AI, Large Language Models, Advertising technology. Design Agentic service platform. Develop Agentic service platform", "postedDate" : "2026-06-13T16:50:06.324", "createdAt" : "2026-06-13T16:50:06.324", "lastUpdated" : "2026-06-15T06:23:06.930", "ingestTimestamp" : "2026-06-13T16:50:06.324", "mongoId" : "68e6b1d870f0b99d58d66a93", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3103281/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Conversational AI", "Natural language interactions", "Generative AI", "Large Language Models", "Advertising technology", "System design", "Architecture", "Advertising ecosystem", "Agentic systems", "AI governance", "AI safety" ], "skillCount" : 12, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 555.4697, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "6a2a4fd974d8ee00a05f12a9", "title" : "Senior Software Engineer, New Products", "company" : "Airwallex", "industry" : "Engineering", "salary" : { "min" : 74822.0, "max" : 138955.0, "currency" : "GBP", "frequency" : "Yearly" }, "location" : "UK - London", "locations" : [ "UK - London" ], "timestamp" : "2026-06-12T22:13:46.232", "fingerprint" : "927b36158ac1b6c3e1e6e04aaceb46a7c41a286898b0f6dc06e072a2a6732369", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/airwallex/3b9f4b98-1731-4e1b-8895-0ca1b1bb1279/application", "externalId" : "3b9f4b98-1731-4e1b-8895-0ca1b1bb1279", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Generative AI, LLMs, API", "professionalSkills" : [ "Product engineering", "Commercial intuition", "Financial software", "Product roadmap" ], "hardSkillsList" : [ "Backend architecture", "Full-stack development", "Product development", "Market validation", "Rapid prototyping" ], "softSkillsList" : [ "High-agency", "Curiosity", "First principles", "Humility" ], "hardSkills" : [ { "name" : "Backend architecture", "level" : "intermediate" }, { "name" : "Full-stack development", "level" : "intermediate" }, { "name" : "Product development", "level" : "intermediate" }, { "name" : "Market validation", "level" : "intermediate" }, { "name" : "Rapid prototyping", "level" : "intermediate" } ], "softSkills" : [ { "name" : "High-agency" }, { "name" : "Curiosity" }, { "name" : "First principles" }, { "name" : "Humility" } ], "majorSkills" : "Fintech AI, 0-to-1 products, Product engineering, Full-stack development", "majorSkillsList" : [ "Fintech AI", "0-to-1 products", "Product engineering", "Full-stack development" ], "coreResponsibilities" : "Co-author 0-to-1 products, Turn visions into software, Embody product engineer mindset, Synthesize business requirements, Evaluate product scope, Shape product roadmap, Execute with velocity, Run rapid proofs-of-concept, Deploy to live users, Balance feature iteration, Deliver end-to-end solutions, Design API, Polish frontend", "teamCollaboration" : "Partner with CEO; Work with leadership; Cross-functional teams; Agile startup", "projectManagementSkills" : [ "Agile", "Roadmap planning" ], "domainKnowledge" : "Fintech; Global payments; Financial platform; Money movement; Compliance; Embedded finance", "domainList" : [ "fintech", "global-payments", "financial-platform", "money-movement", "compliance", "embedded-finance" ], "domainSpecificKnowledge" : [ "Fintech", "Global payments", "Financial platform", "Money movement", "Compliance", "Embedded finance" ], "communicationSkills" : "Executive visions", "continuousLearning" : "Accelerated learning", "innovationCreativity" : "Innovation hub; Internal innovation; Next-generation Fintech AI; 0-to-1 product lines; Ambitious concepts; Build MVPs; Prototype development", "problemSolvingSkills" : "Solve problems faster; First principles thinking; Root cause analysis", "outcomesObjectives" : "Ship products in weeks; Validate concepts rapidly; Test market fit; Get product to users", "qualificationsBasic" : "6+ years software engineering experience, Deep foundation in backend architecture, Proven ability to flex full-stack, Track record shipping products from scratch, Sharp product and commercial intuition, Pragmatic and resourceful, High ambiguity tolerance", "qualificationsPreferred" : "Generative AI experience, LLM experience, Intelligent workflow automation experience, Fintech experience, Payments experience, Experience with compliance, Experience with money-movement rails, Prior startup founder experience, Prior founding engineer experience, Prior technical lead experience", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT AIRWALLEX Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,200 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us. ATTRIBUTES WE VALUE We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles https://www.airwallex.com/us/operating-principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next. About the Team The Founders’ Lab is Airwallex’s elite internal innovation hub. Operating like an agile startup backed by our global network, we partner directly with our CEO and Co-Founder to architect, build, and ship next-generation Fintech AI Innovations and 0-to-1 product lines. We don't build in isolation, nor do we over-engineer for theoretical problems. Our mandate is high-velocity validation: we take raw, ambitious, and ambiguous concepts from the executive suite, build the MVP, and deploy it onto our global financial infrastructure to test with real users. We look for High-Agency Builders. There are no layers of middle management or rigid ticketing queues here. You will hold complete end-to-end technical and product ownership—wearing the hat of a Product Manager to define the what and the why, and acting as a lead engineer to build the how. What You’ll Do - Co-Author 0-to-1 Products: Partner directly with the CEO and global leadership to turn raw strategic visions and disruptive AI capabilities into functional, market-ready financial software in weeks, not quarters. - Embody the Product Engineer Mindset: Synthesize business requirements, regulatory realities, and cutting-edge tech. You aren't just writing code to a spec; you are evaluating product scope and user friction to shape the product roadmap. - Execute with Velocity: Bias heavily toward action. Run rapid proofs-of-concept, deploy them to live users to test market fit, and constantly balance rapid feature iteration with structural soundness. - Deliver End-To-End Solutions: While backend-heavy and architecturally sound, you are a generalist at heart. You will do whatever it takes to get a product into the hands of global users—from API design to frontend polish. Minimum Qualifications - 6+ years of software engineering experience, with a deep foundation in backend architecture and a proven ability to confidently flex full-stack when the mission requires it. - Startup or R&D DNA: A track record of personally shipping products from scratch in high-growth startups, corporate innovation labs, or fast-paced greenfield environments. - Sharp Product & Commercial Intuition: You challenge assumptions. You care immensely about user experience and business impact, evaluating technical decisions through a commercial lens. - Pragmatic & Resourceful: You have a strong \"get things done\" attitude. You don't wait for a perfect blueprint or permission—you find creative pathways around institutional or technical roadblocks. - High Ambiguity Tolerance: You thrive when the path forward is undefined, successfully translating high-level executive visions into clean, maintainable software. Preferred Qualifications - Familiarity or hands-on experience building software that leverages Generative AI, LLMs, or intelligent workflow automation. - Fintech, payments, or experience dealing with compliance and money-movement rails. - Prior experience as a startup founder, founding engineer, or technical lead of a rapid-prototyping team. APPLICANT SAFETY POLICY: FRAUD AND THIRD-PARTY RECRUITERS To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com http://airwallex.com email address. Please apply only through careers.airwallex.com http://careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. EQUAL OPPORTUNITY Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.", "summaryDescription" : "Senior Software Engineer, New Products at Airwallex. Skills: Fintech AI, 0-to-1 products, Product engineering, Full-stack development. Co-author 0-to-1 products. 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What sets us apart is our relentless pursuit of innovation. We leverage the latest advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world. Our solutions are designed to not only meet the current demands of the digital landscape but to also anticipate and adapt to future challenges. At Arista we value the diversity of thought and perspectives that each employee brings to the table. We believe that fostering an inclusive environment, where individuals from various backgrounds and experiences feel welcome, is essential for driving creativity and innovation. Our commitment to excellence has earned us several prestigious awards, such as Best Engineering Team, Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest standards of quality and performance in everything we do. Who You'll Work With The Platform team who are the programmers working closest to the hardware and programming chips.Arista Networks is looking for world-class Linux Kernel and BIOS software engineers to join our Dublin Kernel software team. Our Kernel team is responsible for keeping pace with the latest developments in the Linux Kernel and integrating them for our internal use, both for development and as a base for Arista EOS to run on. This work often involves extending and developing new kernel features related to functionality that we rely on and working with the kernel community to get them integrated upstream. Kernel software engineers are also responsible for the CPU subsystems on all Arista products. You will evaluate new CPUs and work with CPU/BIOS vendors to integrate their stacks into EOS. You will also be responsible for bringup and qualification of these components into our hardware products. What You'll Do Arista Software Engineering roles demand a strong and broad software engineering background. While the primary focus area for this role is Kernel/BIOS software, the role will cover all aspects of software development spanning the addition of new features, debugging problems and fine tuning code for scalability and performance. You will own your projects from definition to deployment and customer interactions, and you will be responsible for the quality of everything you deliver. Arista Software Engineering prides itself on a supportive and growth oriented culture. Over time, as your interests change, coupled with evolving business needs you will have the opportunity to switch from Kernel and BIOS to other areas, if you like. ## Qualifications * BS Computer Science/Electrical Engineering/Computer Engineering * 5+ years experience of C or C++ and Python. * Hands-on experience working on Linux Kernel software is a plus. * Understanding of IP networking and/or distributed systems is a plus. * Applied understanding of software engineering principles. * Strong problem solving and software troubleshooting skills. * Ability to design a solution and implement it successfully. #LI-EO1 ## Additional Information This role is a B2B 12 month rolling contract.", "summaryDescription" : "Software Engineer, Kernel and BIOS at Arista Networks. Skills: Linux Kernel, BIOS software. Integrate Linux Kernel developments. 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What sets us apart is our relentless pursuit of innovation. We leverage the latest advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world. Our solutions are designed to not only meet the current demands of the digital landscape but to also anticipate and adapt to future challenges. At Arista we value the diversity of thought and perspectives that each employee brings to the table. We believe that fostering an inclusive environment, where individuals from various backgrounds and experiences feel welcome, is essential for driving creativity and innovation. Our commitment to excellence has earned us several prestigious awards, such as Best Engineering Team, Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest standards of quality and performance in everything we do. Who You'll Work With The Platform team who are the programmers working closest to the hardware and programming chips.Arista Networks is looking for world-class Linux Kernel and BIOS software engineers to join our Dublin Kernel software team. Our Kernel team is responsible for keeping pace with the latest developments in the Linux Kernel and integrating them for our internal use, both for development and as a base for Arista EOS to run on. This work often involves extending and developing new kernel features related to functionality that we rely on and working with the kernel community to get them integrated upstream. Kernel software engineers are also responsible for the CPU subsystems on all Arista products. You will evaluate new CPUs and work with CPU/BIOS vendors to integrate their stacks into EOS. You will also be responsible for bringup and qualification of these components into our hardware products. What You'll Do Arista Software Engineering roles demand a strong and broad software engineering background. While the primary focus area for this role is Kernel/BIOS software, the role will cover all aspects of software development spanning the addition of new features, debugging problems and fine tuning code for scalability and performance. You will own your projects from definition to deployment and customer interactions, and you will be responsible for the quality of everything you deliver. Arista Software Engineering prides itself on a supportive and growth oriented culture. Over time, as your interests change, coupled with evolving business needs you will have the opportunity to switch from Kernel and BIOS to other areas, if you like. ## Qualifications * BS Computer Science/Electrical Engineering/Computer Engineering * 5+ years experience of C or C++ and Python. * Hands-on experience working on Linux Kernel software is a plus. * Understanding of IP networking and/or distributed systems is a plus. * Applied understanding of software engineering principles. * Strong problem solving and software troubleshooting skills. * Ability to design a solution and implement it successfully. #LI-EO1 ## Additional Information This role is a B2B 12 month rolling contract.", "summaryDescription" : "Software Engineer, Kernel and BIOS at Arista Networks. Skills: Linux Kernel, BIOS software. Integrate Linux Kernel developments. 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We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • You are a significant contributor to the full software development lifecycle, including scoping, design, code, testing, deployment, and maintenance. • Solve difficult software challenges using state-of-the-art technology. • Demonstrate operational excellence in all your work and are active in operational support, ensuring root causes of issues are identified and resolved. • Actively participate in code review, provide meaningful feedback to other to raise the bar. • Collaborate with data scientists and product managers on machine learning experiments. • Establish best practices and drive improvements in design, development, and operations. • Mentor junior engineers in design, coding, troubleshooting, and operational excellence. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Background in advertising technology or e-commerce platforms - Demonstrated track record of innovative AI solution development - Experience with generative model architectures 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, NY, New York - 158,100.00 - 213,800.00 USD annually USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer II, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Software development, AI technologies. Contribute to full software development lifecycle. Scoping", "postedDate" : "2026-06-14T01:36:31.895", "createdAt" : "2026-06-14T01:36:31.895", "lastUpdated" : "2026-06-15T08:51:03.300", "ingestTimestamp" : "2026-06-14T01:36:31.895", "mongoId" : "6a25146374d8ee00a00bb763", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440399/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Object Oriented Design", "Generative AI", "Software development", "AI technologies", "System design", "Reliability", "Scaling", "Generative AI technologies", "Advertising landscape", "Advertising lifecycle" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 553.32935, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "68e6b1d770f0b99d58d66963", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, Advertising", "salary" : { "min" : 125500.0, "max" : 188000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Software Development Engineer roles in Toronto, Canada, adjusted for mid-level seniority and a large technology company." }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "timestamp" : "2026-06-15T05:51:39.895", "fingerprint" : "7a15fe5570e358c4a6ce464d28955418041448da7628043b06474a6a1ac739fa", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3103803/apply", "externalId" : "e3d060d1-4919-4aa5-ba15-d3f10fdd163b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Gen AI, ML, Large Language Models, Cloud technologies", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Conversational AI", "Natural language interactions", "Data processing", "Agentic service platform" ], "softSkillsList" : [ "Analytical", "Humbitious", "Engaged by ambiguity" ], "hardSkills" : [ { "name" : "Conversational AI", "level" : "intermediate" }, { "name" : "Natural language interactions", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Agentic service platform", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Humbitious" }, { "name" : "Engaged by ambiguity" } ], "majorSkills" : "Generative AI, Large Language Models, Agentic experiences", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Agentic experiences" ], "coreResponsibilities" : "Design Agentic service platform, Develop Agentic service platform, Optimize for operation costs, Collaborate with cross-functional teams, Integrate AI-driven solutions, Pioneer new approaches, Shape future of advertising, Create scalable systems, Process millions of data points, Deliver hyper-personalized ad experiences, Architect next-generation AI platform, Build foundational infrastructure, Provide unified entry point, Design scalable APIs, Maintain orchestration layers, Build durable communication protocols, Manage agent state frameworks, Deliver streaming pipelines, Support real-time customizations, Own infrastructure governance layers, Expose systems safely, Empower partners to create experiences, Extend platform to external developers, Invest in observability platforms", "teamCollaboration" : "Cross-functional teams; Agent-to-agent communication; Agent-to-service interactions", "projectManagementSkills" : [ "Coding standards", "Code reviews", "Source control management", "Build processes", "Testing", "Operations" ], "domainKnowledge" : "Generative AI; Large Language Models; Advertising landscape; AI technologies; Agentic experiences; Distributed systems; Cloud technologies; AI trust and safety", "domainList" : [ "generative-ai", "large-language-models", "advertising-landscape", "ai-technologies", "agentic-experiences", "distributed-systems", "cloud-technologies", "ai-trust-and-safety" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Advertising landscape", "AI technologies", "Agentic experiences", "Distributed systems", "Cloud technologies", "AI trust and safety" ], "continuousLearning" : "Staying current with AI landscape", "innovationCreativity" : "Pioneer new approaches; Creative problem-solver; Innovate", "problemSolvingSkills" : "Creative problem-solver; Tackling complex challenges; Solve problems backed by data; Rational decision-making", "outcomesObjectives" : "Deliver low latency experiences; Deliver secure advertiser experiences; Drive business impact; Deliver value to customers", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture, Experience programming one language, 3+ years full SDLC experience", "qualificationsPreferred" : "Shipped Gen AI features at scale, Deep understanding AI trust/safety", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • Design and develop a state-of-the-art Agentic service platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences • Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale. • Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem • Pioneer new approaches to conversational AI and natural language interactions in advertising • Shape the future of how businesses connect with customers through AI-powered advertising • Create scalable systems that process millions of data points to deliver hyper-personalized ad experiences What we're looking for: • Passionate about Generative AI, Large Language Models, and their real-world applications • Strong software engineering skills with experience in distributed systems and cloud technologies • Creative problem-solver who thrives in ambiguity and loves tackling complex challenges • Track record of delivering innovative solutions that drive business impact • Enthusiasm for staying current with the rapidly evolving AI landscape A day in the life As a Software Development Engineer on the Sponsored Products and Brands Guidance Integrations (SPB-GI) team, you will architect and build the next-generation AI platform that will power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. You are: • Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making. • Team obsessed: You help the team achieve outstanding results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results. • Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team. • Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers • Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges About the team We're looking for a brilliant Software Development Engineer to spearhead our Sponsored Products and Brands Guidance Integrations (SPB-GI) team. The team owns the foundational infrastructure for SPB agentic experiences, providing a unified entry point for internal and external agentic applications. We design and maintain scalable APIs and orchestration layers that allow agents to reliably connect with first-party and partner systems. Our responsibilities include building durable agent-to-agent communication protocols for discovery, negotiation, and task handoff; lifecycle management for agent sessions; and state management frameworks that allow agents to persist context across multi-step workflows. The team delivers streaming and event-driven integration pipelines to support real-time customizations and integrations with 1P experiences. We also own the infrastructure governance layers including standardized access-control frameworks, data masking and retention policies, rate-limiting, audit logging, and safety guardrails that ensure predictable, compliant agent behavior across environments. To support scale, the team invests in observability platforms for debugging agent-to-agent and agent-to-service interactions, performance optimization of orchestration layers, and telemetry-driven insights. We also extend the platform to external developers and partners by exposing systems safely to empower partners to create new agentic experiences while inheriting all governance, security, and scaling guarantees of the platform. These agentic experiences include personalized insights, guidance, holistically accounting for an advertiser's product catalog, performance metrics, and other relevant signals. Examples of surfaces that will leverage the SPB Agent include but not limited to: 1) Personalization for an advertiser's experience throughout the Advertiser Console where the SPB Agent will utilize advertiser and page level context to determine how to tailor a full page experience to an advertiser, updating individual widgets with recommendations or filtering capabilities that are most applicable, 2) an AI companion in Next Gen Selling, Seller Central or Seller Assistant that provides a personalized, interactive and automated experience where Selling Partners receive data-backed guidance for growing their business, making autonomous decisions and executing actions on behalf of sellers and 3) AI for Sales pitches that are optimized through the SPB Agent insights. Why join us? • Be part of a team that's defining the future of AI in advertising • Work on projects with massive scale and impact, reaching millions of businesses and consumers • Collaborate with world-class AI researchers and engineers • Access to cutting-edge AI technologies and resources Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations 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" : "Software Development Engineer, Sponsored Products and Brands at Amazon Development Centre Canada ULC. Skills: Generative AI, Large Language Models, Agentic experiences. Design Agentic service platform. 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It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versantâs sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. We're looking for a Director of Product will help power that work by leading the product portfolio for the systems our teams use to plan, assign, produce, coordinate, collaborate, communicate, and move content from idea to execution. This role sits at the center of editorial ambition, production complexity, operational reality, and technology modernization. You'll own these tools for our news organizations - MS NOW and CNBC - as well as the other content creators around our company in Entertainment and Sports. This is a leadership role for someone with a demonstrated history of product expertise. We are looking for a proven product leader who has owned complex portfolios, led teams, managed budgets, delivered against timelines, and helped large organizations modernize the tools and workflows that people depend on every day. The right candidate understands that content creation is not one workflow. It is a thousand overlapping processes, shaped by deadline pressure, brand identity, live moments, breaking news, production realities, digital platforms, legacy systems, vendor constraints, executive priorities, and the very human need for tools that make work clearer instead of harder. This person should be able to talk credibly with journalists, producers, editors, show teams, sports operators, entertainment teams, engineers, architects, vendors, finance partners, and executives — and translate that complexity into product strategy, delivery plans, and measurable outcomes. Working within the Operations & Technology organization, this leader will help modernize Versant’s full portfolio of content creation tools across news, sports, entertainment, lifestyle, digital, and cross-brand teams. That includes newsroom computer systems, editorial planning tools, assignment workflows, production coordination platforms, collaboration systems, communication tools, resource planning capabilities, and the enterprise platforms that help teams make content more effectively. This role is for someone who can help teams create better work — not by admiring the complexity from a safe distance, but by getting close to the workflow, understanding what is broken, setting a clear product direction, making smart trade-offs, and leading a team that can deliver. The work will require modernization, consolidation, AI-enabled tooling, automation, stronger governance, better adoption, sharper reporting, more disciplined execution, and a practical understanding of how media teams actually operate. What You’ll Do * Own the vision, strategy, and roadmap for the tools Versant teams use to plan, assign, produce, coordinate, collaborate, communicate, and move content from idea to execution. * Lead the modernization of content creation tools across news, sports, entertainment, lifestyle, digital, and cross-brand teams, with a strong focus on newsroom computer systems, production workflows, and the platforms people depend on every day. * Get close to the work. Partner with journalists, producers, editors, show teams, planning teams, assignment desks, sports operators, entertainment teams, digital teams, and operations leaders to understand how content actually gets made. * Turn complex workflows into clear product decisions, including where to simplify, where to standardize, where to preserve brand-specific needs, and where technology can reduce friction. * Deliver committed roadmap initiatives according to agreed timelines, with clear scope, sequencing, resourcing, risk management, release planning, adoption planning, and post-launch measurement. * Manage portfolio budgets across development, licensing, hosting, support, vendor services, and related operational costs. Use financial, operational, adoption, and reliability data to guide prioritization and investment decisions. * Evaluate vendor platforms, enterprise tools, AI capabilities, and automation opportunities with practical judgment, applying them where they solve real problems and improve how teams work. * Partner closely with engineering, architecture, operations, finance, support, and business stakeholders to ensure product decisions are scalable, secure, supportable, and aligned with Versant’s broader technology strategy. * Lead, manage, mentor, and develop a team of product managers and related product partners. Set clear expectations for product strategy, discovery, stakeholder management, roadmap discipline, delivery accountability, and operational follow-through. * Build a product function grounded in clarity, accountability, collaboration, user empathy, measurable outcomes, and credibility with the people who use these tools every day. * Establish the governance, documentation, training, communications, support models, and success metrics needed for tools to scale across teams and continue improving after launch. ## Qualifications What You Bring * 8+ years of product management, product strategy, media technology, newsroom technology, production technology, operations technology, or equivalent experience in news, entertainment, sports, broadcast, streaming, digital media, or a similarly complex operational environment. * A demonstrated history of product leadership, including ownership of complex product portfolios, multi-year roadmaps, modernization initiatives, and measurable business outcomes. * Proven experience leading product teams, including product managers and/or senior individual contributors. * Strong working knowledge of newsroom computer systems, editorial planning tools, assignment workflows, production coordination platforms, collaboration tools, and content creation workflows. * Experience leading product initiatives across multiple brands, divisions, platforms, or large distributed user groups. * Proven ability to manage complex integrations, migrations, and modernization efforts across legacy and emerging systems. * Strong delivery discipline, including experience managing committed timelines, roadmap dependencies, release plans, risks, trade-offs, and executive-level communications. * Experience managing product budgets, vendor costs, licensing decisions, investment trade-offs, and ROI analysis. * Strong Agile product experience, including roadmap development, backlog management, sprint planning, user story writing, prioritization, iterative delivery, release planning, and post-launch measurement. * Experience partnering with engineering, design, analytics, operations, finance, cyber, privacy, support, editorial, production, and executive stakeholders. * Strong user research instincts, with experience conducting stakeholder interviews, workflow analysis, prototyping, testing, feedback sessions, and adoption measurement. * Excellent communication and influence skills, with the ability to translate complexity into clear decisions for technical, operational, editorial, and executive audiences. * Demonstrated ability to modernize legacy systems, simplify fragmented workflows, and drive adoption of new platforms in complex organizations. * Comfort making decisions with imperfect information, competing priorities, and real delivery consequences. Desired Characteristics * A proven product operator with strong judgment, delivery discipline, and the ability to lead through ambiguity. * Deep empathy for the people who make content under pressure, including journalists, producers, editors, planners, show teams, digital teams, sports teams, entertainment teams, and operations partners. * Strong technical fluency, with the ability to engage credibly with engineering and architecture teams while staying grounded in user needs and business outcomes. * Practical curiosity about AI, automation, and emerging tools, with the judgment to apply them where they make work better instead of simply making the roadmap sound more modern. * Executive presence and the ability to communicate clearly about strategy, priorities, investment decisions, timeline risks, delivery status, and business impact. * A bias toward simplification, standardization, reliability, and adoption. * The ability to manage multiple high-priority initiatives without losing accountability for details, deadlines, or outcomes. * A collaborative leadership style that builds trust across matrixed teams with different incentives, vocabularies, and pressures. * The patience to understand why a workflow exists, the discipline to decide whether it should continue, and the credibility to help teams move to something better. * A respect for media, for the people who make it, and for the tools that either help them do ambitious work or quietly get in their way. Location & Work Style * This role is based in New York City. * This is a hybrid role, with a minimum of three days per week in one of Versant’s offices, depending on business needs. * Limited travel, less than 10%, to broadcast, vendor, or operations centers as required. ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [candidateaccessibility@versantmedia.com](mailto:candidateaccessibility@versantmedia.com). VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. 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It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versantâs sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. We're looking for a Director of Product will help power that work by leading the product portfolio for the systems our teams use to plan, assign, produce, coordinate, collaborate, communicate, and move content from idea to execution. This role sits at the center of editorial ambition, production complexity, operational reality, and technology modernization. You'll own these tools for our news organizations - MS NOW and CNBC - as well as the other content creators around our company in Entertainment and Sports. This is a leadership role for someone with a demonstrated history of product expertise. We are looking for a proven product leader who has owned complex portfolios, led teams, managed budgets, delivered against timelines, and helped large organizations modernize the tools and workflows that people depend on every day. The right candidate understands that content creation is not one workflow. It is a thousand overlapping processes, shaped by deadline pressure, brand identity, live moments, breaking news, production realities, digital platforms, legacy systems, vendor constraints, executive priorities, and the very human need for tools that make work clearer instead of harder. This person should be able to talk credibly with journalists, producers, editors, show teams, sports operators, entertainment teams, engineers, architects, vendors, finance partners, and executives — and translate that complexity into product strategy, delivery plans, and measurable outcomes. Working within the Operations & Technology organization, this leader will help modernize Versant’s full portfolio of content creation tools across news, sports, entertainment, lifestyle, digital, and cross-brand teams. That includes newsroom computer systems, editorial planning tools, assignment workflows, production coordination platforms, collaboration systems, communication tools, resource planning capabilities, and the enterprise platforms that help teams make content more effectively. This role is for someone who can help teams create better work — not by admiring the complexity from a safe distance, but by getting close to the workflow, understanding what is broken, setting a clear product direction, making smart trade-offs, and leading a team that can deliver. The work will require modernization, consolidation, AI-enabled tooling, automation, stronger governance, better adoption, sharper reporting, more disciplined execution, and a practical understanding of how media teams actually operate. What You’ll Do * Own the vision, strategy, and roadmap for the tools Versant teams use to plan, assign, produce, coordinate, collaborate, communicate, and move content from idea to execution. * Lead the modernization of content creation tools across news, sports, entertainment, lifestyle, digital, and cross-brand teams, with a strong focus on newsroom computer systems, production workflows, and the platforms people depend on every day. * Get close to the work. Partner with journalists, producers, editors, show teams, planning teams, assignment desks, sports operators, entertainment teams, digital teams, and operations leaders to understand how content actually gets made. * Turn complex workflows into clear product decisions, including where to simplify, where to standardize, where to preserve brand-specific needs, and where technology can reduce friction. * Deliver committed roadmap initiatives according to agreed timelines, with clear scope, sequencing, resourcing, risk management, release planning, adoption planning, and post-launch measurement. * Manage portfolio budgets across development, licensing, hosting, support, vendor services, and related operational costs. Use financial, operational, adoption, and reliability data to guide prioritization and investment decisions. * Evaluate vendor platforms, enterprise tools, AI capabilities, and automation opportunities with practical judgment, applying them where they solve real problems and improve how teams work. * Partner closely with engineering, architecture, operations, finance, support, and business stakeholders to ensure product decisions are scalable, secure, supportable, and aligned with Versant’s broader technology strategy. * Lead, manage, mentor, and develop a team of product managers and related product partners. Set clear expectations for product strategy, discovery, stakeholder management, roadmap discipline, delivery accountability, and operational follow-through. * Build a product function grounded in clarity, accountability, collaboration, user empathy, measurable outcomes, and credibility with the people who use these tools every day. * Establish the governance, documentation, training, communications, support models, and success metrics needed for tools to scale across teams and continue improving after launch. ## Qualifications What You Bring * 8+ years of product management, product strategy, media technology, newsroom technology, production technology, operations technology, or equivalent experience in news, entertainment, sports, broadcast, streaming, digital media, or a similarly complex operational environment. * A demonstrated history of product leadership, including ownership of complex product portfolios, multi-year roadmaps, modernization initiatives, and measurable business outcomes. * Proven experience leading product teams, including product managers and/or senior individual contributors. * Strong working knowledge of newsroom computer systems, editorial planning tools, assignment workflows, production coordination platforms, collaboration tools, and content creation workflows. * Experience leading product initiatives across multiple brands, divisions, platforms, or large distributed user groups. * Proven ability to manage complex integrations, migrations, and modernization efforts across legacy and emerging systems. * Strong delivery discipline, including experience managing committed timelines, roadmap dependencies, release plans, risks, trade-offs, and executive-level communications. * Experience managing product budgets, vendor costs, licensing decisions, investment trade-offs, and ROI analysis. * Strong Agile product experience, including roadmap development, backlog management, sprint planning, user story writing, prioritization, iterative delivery, release planning, and post-launch measurement. * Experience partnering with engineering, design, analytics, operations, finance, cyber, privacy, support, editorial, production, and executive stakeholders. * Strong user research instincts, with experience conducting stakeholder interviews, workflow analysis, prototyping, testing, feedback sessions, and adoption measurement. * Excellent communication and influence skills, with the ability to translate complexity into clear decisions for technical, operational, editorial, and executive audiences. * Demonstrated ability to modernize legacy systems, simplify fragmented workflows, and drive adoption of new platforms in complex organizations. * Comfort making decisions with imperfect information, competing priorities, and real delivery consequences. Desired Characteristics * A proven product operator with strong judgment, delivery discipline, and the ability to lead through ambiguity. * Deep empathy for the people who make content under pressure, including journalists, producers, editors, planners, show teams, digital teams, sports teams, entertainment teams, and operations partners. * Strong technical fluency, with the ability to engage credibly with engineering and architecture teams while staying grounded in user needs and business outcomes. * Practical curiosity about AI, automation, and emerging tools, with the judgment to apply them where they make work better instead of simply making the roadmap sound more modern. * Executive presence and the ability to communicate clearly about strategy, priorities, investment decisions, timeline risks, delivery status, and business impact. * A bias toward simplification, standardization, reliability, and adoption. * The ability to manage multiple high-priority initiatives without losing accountability for details, deadlines, or outcomes. * A collaborative leadership style that builds trust across matrixed teams with different incentives, vocabularies, and pressures. * The patience to understand why a workflow exists, the discipline to decide whether it should continue, and the credibility to help teams move to something better. * A respect for media, for the people who make it, and for the tools that either help them do ambitious work or quietly get in their way. Location & Work Style * This role is based in New York City. * This is a hybrid role, with a minimum of three days per week in one of Versant’s offices, depending on business needs. * Limited travel, less than 10%, to broadcast, vendor, or operations centers as required. ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [candidateaccessibility@versantmedia.com](mailto:candidateaccessibility@versantmedia.com). VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. 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Indigenous-led research; Community-controlled services", "projectManagementSkills" : [ "Research management" ], "domainKnowledge" : "Indigenous health; Non-communicable diseases; Maternal health; Child health; Family health; Rheumatic heart disease; Lifecourse approach", "domainList" : [ "indigenous-health", "non-communicable-diseases", "maternal-health", "child-health", "family-health", "rheumatic-heart-disease", "lifecourse-approach" ], "domainSpecificKnowledge" : [ "Indigenous health", "Non-communicable diseases", "Maternal health", "Child health", "Family health", "Rheumatic heart disease", "Lifecourse approach" ], "communicationSkills" : "Community engagement; Presentations", "documentationSkills" : "Research documentation", "innovationCreativity" : "Co-design", "specialRequirements" : "Regular travel, Aboriginal or Torres Strait Islander person only", "outcomesObjectives" : "Improve health outcomes; Improve wellbeing outcomes", "qualificationsBasic" : "PhD in relevant discipline, Experience in qualitative research, Experience in Indigenous research methodologies, Track record of working with Indigenous communities, Proven ability to lead consumer engagement, Experience contributing to research design, Experience contributing to grant applications, Experience contributing to publications, Experience translating evidence into policy, Commitment to culturally safe research, Commitment to ethical research, Commitment to strengths-based research, Commitment to Indigenous research principles, Unrestricted work rights in Australia", "qualificationsPreferred" : "Near completion of PhD", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "* [Poche Centre for Indigenous Health](https://poche.centre.uq.edu.au/) * Full-time (100%), fixed-term position for up to 3 years * Salary will be in the range **$117,120 – $164,748** + 17% super (Academic Level **B/C**) * **This position is open to Aboriginal and Torres Strait Islander women only** , as a genuine occupational requirement, due to the role’s focus on Indigenous‑led, culturally safe research and trusted engagement with Indigenous women, communities, and community‑controlled organisations. * Based at our **Toowong** location # **Acknowledgement of Country** The University of Queensland (UQ) acknowledges the Traditional Owners and their custodianship of the lands on which UQ operates. We pay our respects to their Ancestors and their descendants, who continue cultural and spiritual connections to Country. We recognise their valuable contributions to Australian and global society. # **About This Opportunity** The Poche Centre for Indigenous Health is seeking a Research Fellow or Senior Research Fellow to join Professor Abdullah Mamun’s Indigenous‑led Lifecourse Research Program. This program brings together a suite of seven interconnected research projects focused on improving health and wellbeing outcomes for Aboriginal and Torres Strait Islander peoples through community‑driven, strengths‑based, and culturally safe research. The role contributes to research that adopts a life‑course approach to the early detection, prevention, and management of non‑communicable diseases, including rheumatic heart disease, with a strong emphasis on maternal, child, and family health. Central to the position is working in partnership with Aboriginal Community Controlled Health Organisations (ACCHOs) and Indigenous communities across rural and remote Australia, embedding co‑design and meaningful consumer and community engagement across all stages of research. Regular travel to rural and remote communities is an expected and valued part of the role. _Key responsibilities will include:_ * Research: Lead qualitative research and consumer and community engagement activities across multiple projects within Professor Mamun’s Lifecourse Research Program; contribute to Indigenous‑led, co‑designed research; support the development and management of research funding; publish in reputable journals; and apply best‑practice, culturally safe research methodologies. * Supervision and Researcher Development: Supervise and mentor higher degree research students and early‑career researchers, and support capability building across community‑controlled services, with a focus on Indigenous‑led, qualitative, co‑designed, and community‑engaged research practices. * Citizenship and Service: Build and sustain partnerships with Indigenous communities and sector stakeholders; demonstrate leadership through mentoring; contribute to internal service roles and committees; support colleagues; and uphold University values. **This is a research focused position.** Further information can be found by viewing UQ’s Criteria for Academic Performance. **_For further information,[please click here to view the information booklet](http://content.app.uq.edu.au/bkbiqrpxuy/positiondescriptions/r-64437_rfsf_cce_appointmentbooklet.pdf)._** # **About You** The University of Queensland considers that to perform this role, it is essential that the person is an Aboriginal or Torres Strait Islander person. It is therefore a genuine occupational requirement under section 25 of the _Anti-Discrimination Act 1991_ (Qld). The position is therefore only open to Australian Aboriginal and/or Torres Strait Islander people. The successful candidate will be required to provide evidence to confirm that they are an Aboriginal and/or Torres Strait Islander person. * Completion or near completion of a PhD in a relevant discipline such as public health, community medicine, allied health, social science or psychology. a relevant discipline. * Demonstrated experience in qualitative research and Indigenous research methodologies. * A strong track record of working in respectful partnership with Aboriginal and Torres Strait Islander communities and community‑controlled organisations. * Proven ability to lead and support meaningful consumer and community engagement across the research lifecycle. * Experience contributing to research design, grant applications, publications, and the translation of community‑informed evidence into policy and practice. * A demonstrated commitment to culturally safe, ethical, and strengths‑based research aligned with Indigenous research principles. # **About UQ** As part of the UQ community, you will work alongside visionary, inquisitive, and collaborative colleagues who are committed to creating change together. UQ encourages interdisciplinary collaboration and supports research that delivers real‑world impact for communities. UQ research continues to highlight persistent health inequities experienced by Aboriginal and Torres Strait Islander peoples, reinforcing the importance of Indigenous‑led, community‑driven research approaches that inform policy, practice, and system change across the life course. The greater benefits of joining UQ are broad: from being part of a Group of Eight university, to recognition of prior service with other Australian universities, up to 26 weeks of paid parental leave, 17.5% annual leave loading, flexible working arrangements including hybrid on‑site and work‑from‑home options, and genuine career progression opportunities via the academic promotions process. # **Interested?** For more information about this opportunity, please contact [Professor Abdullah Mamun](https://poche.centre.uq.edu.au/profile/1852/abdullah-mamun)**.** For application inquiries, please reach out to the Talent Acquisition team at [**talent @uq.edu.au**](mailto:talent@uq.edu.au), stating the job reference number (below) in the subject line. When you apply, please ensure you upload a **resume** , **cover letter** , and **responses to the ‘About You’ section**. # **Other Information** You must maintain unrestricted work rights in Australia for the duration of this appointment to apply. Employer sponsored work rights are not available for this appointment. Pre‑employment checks may include verification of the right to work in Australia, qualifications, criminal history checks, Blue Card (working with children checks) and other integrity and conduct requirements. We are dedicated to equity, diversity, and inclusion. We recognise that career pathways differ and encourage applications from candidates who may not meet every criterion but can demonstrate their potential relative to opportunity. **Applications close Wednesday 24 June 2026 at 11.00pm AEST (R-64437).** Please note that interviews have been tentatively scheduled for Thursday 2 July 2026.", "summaryDescription" : "Research Fellow/Senior Research Fellow - Consumer and Community Engagement (Identified s25) at Poche Centre for Indigenous Health. Skills: Consumer engagement, Community engagement, Indigenous research. Lead qualitative research. 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design", "majorSkillsList" : [ "Generative AI", "Ad tech", "System design" ], "coreResponsibilities" : "Define and deliver new program, Design and implement solutions, Analyze results, Evangelize new features, Communicate technical priorities, Invent new value proposition, Build real time systems, Build big data paradigms, Scale for growth, Connect ad tech systems, Understand customers, Drive results at scale, Build next innovations", "teamCollaboration" : "Technical teams across Amazon Ads; External and internal partners", "domainKnowledge" : "Sponsored Products; Sponsored Brands; Advertising landscape; Generative AI technologies; Advertising lifecycle; AI technologies; Marketplace; Ad tech systems; Shopping experiences; Real time systems; Big data paradigms", "domainList" : [ "sponsored-products", "sponsored-brands", "advertising-landscape", "generative-ai-technologies", "advertising-lifecycle", "ai-technologies", "marketplace", "ad-tech-systems", "shopping-experiences", 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technical teams, Experience communicating with senior leadership", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Looking for a green field, high impact new initiative to exercise your imagination and design skills? Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. Come help us define and deliver an exciting confidential new Amazon Ads program! We are looking for an engineering leader for a confidential new advertising program that will have significant strategic impact to the Amazon Ads business. You will work backwards from customers, collaborate with technical teams across Amazon Ads to design and implement solutions, and deeply analyze the results. You will also evangelize new features and communicate technical priorities to senior leadership. You will deal with some of the toughest and most inspiring challenges of your career as you invent a new value proposition, real time systems and big data paradigms, and scale for growth. We are looking to hire for this role in NYC. About the team About Sponsored Products and Brands: The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About our team: The SPB Offsite team builds solutions to extend campaigns to reach customers off the store and extend shopping experiences on third party sites where shoppers search and discover products. We use industry leading machine learning, high scale low latency systems, and AI technologies to create better sponsored customer experiences off the store. This role will have deep interest in building the next innovations in ad tech and shopping wherever shoppers go. You will work with external and internal partners to connect ad tech systems, understand customers, and drive results at scale. You are a deeply technical leader who operates with a GenAI first approach to product, engineering, and science based solutions. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams - Experience with AI/ML technologies Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Manager III, Software Development, Sponsored Products at Amazon.com LLC. Skills: Generative AI, Ad tech, System design. Define and deliver new program. Design and implement solutions", "postedDate" : "2026-06-14T06:57:01.140", "createdAt" : "2026-06-14T06:57:01.140", "lastUpdated" : "2026-06-15T09:24:29.596", "ingestTimestamp" : "2026-06-14T06:57:01.140", "mongoId" : "68e6b1d370f0b99d58d666c2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102463/apply", "salaryAnnualMin" : 166400, "salaryAnnualMax" : 287700, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "Hardware development", "Network development", "Leadership", "Generative AI", "Ad tech", "System design", "Architecture design", "Reliability", "Scaling", "Web services", "Sponsored Products", "Sponsored Brands", "Advertising landscape", "Generative AI technologies", "Advertising lifecycle", "AI technologies", "Marketplace", "Ad tech systems", "Shopping experiences", "Real time systems", "Big data paradigms" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 532.9103, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2176d374d8ee00a0c1af5e", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T00:55:30.683", "fingerprint" : "e378cd8f270b1dfc3555aaf7f8ae7842287bab66bd21e4d4cce1a048769b0502", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438733/apply", "externalId" : "c5df5941-c47e-4788-9e98-ee08a742a5b4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Generative AI", "professionalSkills" : [ "System design", "Reliability", "Scaling" ], "hardSkillsList" : [ "Computer science fundamentals", "Problem-solving skills" ], "hardSkills" : [ { "name" : "Computer science fundamentals", "level" : "intermediate" }, { "name" : "Problem-solving skills", "level" : "intermediate" } ], "majorSkills" : "Generative AI, High-performance systems", "majorSkillsList" : [ "Generative AI", "High-performance systems" ], "coreResponsibilities" : "Design scalable services, Develop scalable services, Deliver scalable services, Handle billions of requests, Maintain millisecond latencies, Meet strict SLA requirements, Build end-to-end features, Operate on massive datasets, Design flexible systems, Design reliable systems, Design maintainable systems, Simplify complex problems, Ship incrementally, Improve system quality, Collaborate with partners, Define requirements, Deliver customer-focused solutions, Apply computer science fundamentals, Navigate technical challenges, Make sound design trade-offs, Drive engineering best practices, Maintain system reliability", "teamCollaboration" : "Cross-functional partners; Product managers; Scientists; Engineers", "domainKnowledge" : "Retail media; Brand advertising; Product catalogs; Distributed frameworks; Advertising landscape; AI technologies", "domainList" : [ "retail-media", "brand-advertising", "product-catalogs", "distributed-frameworks", "advertising-landscape", "ai-technologies" ], "domainSpecificKnowledge" : [ "Retail media", "Brand advertising", "Product catalogs", "Distributed frameworks", "Advertising landscape", "AI technologies" ], "documentationSkills" : "Documentation", "innovationCreativity" : "Generative AI technologies", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Drive brand advertising at scale; Get brands discovered; Acquire new customers; Grow customer lifetime value; Drive discovery; Drive visibility; Drive share of voice; Shoppers discover brands; Shoppers build affinity; Brands grow business", "qualificationsBasic" : "3+ years software development experience, 2+ years system design experience, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's in computer science, Experience designing systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Brands Impressions-based Offerings team is evolving the value proposition of Sponsored Brands to drive brand advertising in retail media at scale — helping brands get discovered, acquire new customers, and sustainably grow customer lifetime value. We build end-to-end solutions that enable brands to drive discovery, visibility, and share of voice — spanning advertiser controls, shopper experiences, monetization strategies, and optimization features. We succeed when shoppers discover and build affinity with brands, and when brands can grow their business at scale with our advertising products. We're looking for a Software Development Engineer who thrives on building high-performance systems that operate on one of the world's largest product catalogs. You'll build services that handle billions of requests per day with millisecond-level latencies and strict SLA requirements — working across massive datasets using distributed frameworks. This is a hands-on role for an engineer who takes a pragmatic, iterative approach to delivering software and enjoys collaborating across teams to solve complex problems with simple, scalable solutions. Key job responsibilities - Design, develop, and deliver scalable, high-performance services that handle billions of daily requests while maintaining millisecond-level response latencies and strict SLA requirements - Build end-to-end features across the Sponsored Brands stack — including advertiser controls, shopper experiences, monetization logic, and optimization capabilities - Operate on massive datasets using distributed frameworks, designing systems that are flexible, reliable, and maintainable at catalog scale - Take a pragmatic, iterative approach to software delivery — simplifying complex problems, shipping incrementally, and continuously improving system quality - Collaborate effectively with cross-functional partners — including product managers, scientists, and engineers across internal and external teams — to define requirements and deliver customer-focused solutions - Apply strong computer science fundamentals and problem-solving skills to navigate ambiguous technical challenges and make sound design trade-offs - Drive engineering best practices including code reviews, testing, operational excellence, and documentation to maintain high system reliability About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems 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, NY, New York - 158,100.00 - 213,800.00 USD annually USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, High-performance systems. Design scalable services. Develop scalable services", "postedDate" : "2026-06-13T10:44:23.258", "createdAt" : "2026-06-13T10:44:23.258", "lastUpdated" : "2026-06-15T00:55:30.683", "ingestTimestamp" : "2026-06-13T10:44:23.258", "mongoId" : "6a2176d374d8ee00a0c1af5e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438733/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Computer science fundamentals", "Problem-solving skills", "Generative AI", "High-performance systems", "System design", "Reliability", "Scaling", "Retail media", "Brand advertising", "Product catalogs", "Distributed frameworks", "Advertising landscape", "AI technologies" ], "skillCount" : 13, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 529.98346, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a21ad3674d8ee00a0cc2584", "title" : "Senior Software Development Engineer, AWS Professional Services - Products and Solutions", "company" : "Amazon Support Services Pty Ltd", "industry" : "Operations, IT, Support Engineering, Software Development, Cloud Computing", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Software Development Engineer in Sydney, Australia, adjusted for Amazon's size and the technology industry." }, "location" : "Sydney, New South Wales, AUS", "locations" : [ "Sydney, New South Wales, AUS" ], "timestamp" : "2026-06-16T03:30:58.152", "fingerprint" : "c8145e52838935e2173364847669512cdeb79330b57a0c6525f8e7748065568b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439803/apply", "externalId" : "48033e3f-3e50-4285-98be-31b2aec13a32", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Come change the way the world uses the Cloud! At AWS Professional Services Products and Solutions, we don't just support cloud transformations — we accelerate them. Our team builds the internal products and tools that empower AWS consultants to deliver faster, smarter, and more impactful customer outcomes. At the heart of our work is a knowledge base that brings quality, consistency, and efficiency to every customer engagement around the globe. If you're driven to build products that scale impact across thousands of customers and reshape how enterprises adopt the cloud, we want you on our team. Key job responsibilities - Lead the design, delivery, and implementation of complex, large-scale systems and features, providing technical guidance and advocating for Amazon's highest engineering standards. - Collaborate with cross functional roles (e.g. Product and UX), working backwards from customer needs to design solutions that solve real problems. - Architect and develop robust, scalable, and maintainable services across end-to-end solutions, often spanning multiple platforms (web, mobile, backend) - Implement and drive best practices in modern software engineering — design, testing, version control, documentation, deployment, and operations — including the adoption of GenAI assistance tools, automated code reviews, and AI-assisted testing. - Analyse and optimise system performance, scalability, and reliability using data-driven approaches and modern monitoring tools. - Define technical strategies and contribute to the long-term roadmap, including integration of emerging AI technologies. - Lead conversations with senior leadership. - Actively participate in hiring, mentoring, and growing other engineers, and foster knowledge-sharing across the team and the broader organisation. - Obtain and maintain AWS Certifications. A day in the life As a Senior Software Development Engineer (Snr SDE), you'll be a technical leader driving decisions that impact critical customer experiences. You'll tackle complex initiatives head-on—building high-quality, scalable systems for our global customer base while shaping our technical architecture and maintaining direct ownership of key components. Bridging strategic vision with tactical execution, you'll combine hands-on development with system design, mentor team members, and champion engineering excellence to ensure we build maintainable solutions that scale with our business. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - Experience leading engineering teams as a mentor or tech lead - Bachelor's degree or above in computer science, engineering, mathematics or equivalent, or Bachelor's degree - Experience (non-internship) in professional software development, or experience programming with at least one modern language such as Java, C++, or C# including object-oriented design - Deep understanding of software engineering best practices for full software development lifecycle, including coding standards, code reviews, source control management, continuous deployments, testing and operations. Preferred Qualifications: - Knowledge of computer science fundamentals in data structures, algorithm design, and problem solving - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership - Experience designing and developing large scale, high-traffic applications - Proficiency with GenAI assistance tools for development and testing Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: 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. 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06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "timestamp" : "2026-06-15T07:49:22.001", "fingerprint" : "32b23742ae3b2dba6dae50e661a56b3fbb0b0d82fcd02201504443c75ac79af3", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=57405", "externalId" : "57405", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gogama", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6736705,-81.7250895" } ], "locationText" : "Gogama, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "VHF/UHF, WIFI mesh, Microwave systems, Ethernet, Fiber-optic, Radio, Microwave, Wireless, Cisco Wi-Fi, LTE Radio", "professionalSkills" : [ "Problem-solving", "Prioritization", "Technical learning" ], "hardSkillsList" : [ "Radio communications", "Fleet Management Systems", "Electronic schematics", "Technical specifications" ], "hardSkills" : [ { "name" : "Radio communications", "level" : "intermediate" }, { "name" : "Fleet Management Systems", "level" : "intermediate" }, { "name" : "Electronic schematics", "level" : "intermediate" }, { "name" : "Technical specifications", "level" : "intermediate" } ], "majorSkills" : "Autonomous hardware, Radio systems, Mining technology, Wireless communication", "majorSkillsList" : [ "Autonomous hardware", "Radio systems", "Mining technology", "Wireless communication" ], "coreResponsibilities" : "Install wired/wireless communications, Repair wired/wireless communications, Maintain wired/wireless communications, Deploy VHF/UHF systems, Deploy WIFI mesh systems, Deploy microwave systems, Execute preventative maintenance, Inspect hardware, Identify field inefficiencies, Apply Command for Haulage expertise, Improve fleet throughput, Improve fleet quality, Troubleshoot technical issues, Manage mining databases, Manage fleet management software, Manage equipment logs, Ensure reporting accuracy, Partner with Mine Operators, Partner with Control teams, Coordinate shift deliverables, Resolve fleet problems, Train new team members, Manage FMS inventory, Prevent downtime", "teamCollaboration" : "Mine Operators; Control teams", "domainKnowledge" : "Autonomous haulage; Drill fleet; High Precision Machine Guidance; Mining databases; Fleet Management Systems; Autonomous Mining Systems; Microwave PTP; Microwave PTMP", "domainList" : [ "autonomous-haulage", "drill-fleet", "high-precision-machine-guidance", "mining-databases", "fleet-management-systems", "autonomous-mining-systems", "microwave-ptp", "microwave-ptmp" ], "domainSpecificKnowledge" : [ "Autonomous haulage", "Drill fleet", "High Precision Machine Guidance", "Mining databases", "Fleet Management Systems", "Autonomous Mining Systems", "Microwave PTP", "Microwave PTMP" ], "toolProficiency" : [ "Command for Haulage", "Fleet Management Systems", "Cisco Wi-Fi" ], "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "specialRequirements" : "Rotational schedule", "qualificationsBasic" : "Grade 12 or equivalent, 5+ years electrician experience, 5+ years communications infrastructure experience", "qualificationsPreferred" : "College diploma related field, University degree related field, Fleet Management Systems experience, Autonomous Mining Systems experience, High Precision Machine Guidance experience, Cisco Wi-Fi experience, LTE Radio Systems experience, Mining experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are IAMGOLD. Innovative, Accountable Mining. IAMGOLD is a Canadian-based gold mining company with operations and development projects across North America and West Africa. With flagship operations such as the Côté Gold Mine in Ontario—one of Canada’s largest and most technologically advanced gold mines—we’re not just mining gold; we’re shaping the future of mining. We believe mining can be different. By combining innovation with a strong commitment to sustainability and accountability, we create lasting value for our people and the communities where we operate. At IAMGOLD, when we engage, empower, and support each other, we create extraordinary outcomes—delivering value for our people, partners, and stakeholders while building stronger, more resilient communities. At Côté Gold, we’re leading the way in modern mining. With an 18+ year mine life, Côté Gold will inject C$5 billion in wages into the economy and create lasting benefits for the region. Over 600 full-time jobs and strong partnerships with Mattagami and Flying Post First Nations mean you’ll be part of something bigger—building prosperity and progress for generations. Industry leaders call us “a model for modern mining and sustainability”, and you can help write the next chapter. Want to Learn More About IAMGOLD? Check out the IAMGOLD Blog Read about our Côté Gold About the role: We are actively seeking an Autonomous Hardware and Radio Technician to join the Côté Gold Mine Site. This role is responsible for the reliable operation of the hardware and radio systems that support the autonomous haulage and drill fleet. The Autonomous Hardware/Radio Technician ensures safe, effective and timely implementation, configuration and maintenance of the operational mining technology network and wireless communication systems. This role will be based on our Cote Gold Mine Site (Gogama, ON), on a rotational schedule. Responsibilities: Install, repair, and maintain wired/wireless communications for autonomous haulage and drill equipment Deploy VHF/UHF, WIFI mesh, and microwave systems to support High Precision Machine Guidance Execute preventative maintenance and inspections to ensure all hardware meets safety and performance standards Identify field inefficiencies and apply Command for Haulage expertise to improve fleet throughput and quality Troubleshoot technical issues while weighing impacts on time, cost, sustainability, and safety Manage mining databases, fleet management software, and equipment logs to ensure reporting accuracy Partner with Mine Operators and Control teams to coordinate shift deliverables and resolve fleet problems Train new team members and manage Fleet Management System (FMS) inventory to prevent downtime Key Skills & Knowledge: Grade 12 or equivalent. College diplomas or university degrees in a related field such electrical, OT, autonomous systems technology is considered an asset Relevant Experience: 5 or more years of experience as an electrician or 5 or more years of experience supporting communications infrastructure (Ethernet, fiber-optic, radio, microwave, wireless). Experience with Fleet Management Systems, Autonomous Mining Systems, High Precision Machine Guidance, Cisco Wi-Fi and LTE Radio Systems is considered an asset. Experience installing, maintaining and fault-finding radio communications equipment and Fleet Management Systems is considered an asset; Mining experience may be considered an asset but is not required. Skills & Strengths, We Value: Highly organized and possess excellent analytical and problem-solving skills with the ability to prioritize effectively in a high-pressure environment. An aptitude for learning technical material and are detail orientated. Understanding of Microwave PTP, PTMP based radio and antennae systems; and Ability to read and interpret electronic schematics and Technical Specifications. What we Offer: At IAMGOLD, we don’t just reward performance we invest in your potential. Our total rewards package is designed to support your well-being today and encourage your growth for tomorrow. Because the future of mining, and your career, starts here. • Comprehensive Health Coverage – Extended health, dental, and insurance benefits for peace of mind. • Flexible Spending Power – Health & Personal Spending Accounts to fit your evolving needs. • Support When It Matters – Employee & Family Assistance Program for life’s challenges. • Future-Ready Savings – Registered Pension Plan with company match, plus TFSA & RRSP options. • Shared Success – Employee Share Purchase Plan with company match—because we grow together. Salary Range: $89,000-122,400 The final offer is determined based on your individual skills, qualifications, and competencies and aligned with our commitment to internal equity. We recognize that not everyone will meet every requirement listed, and that’s okay. If this role excites you and you believe you have relevant experience or transferable skills, we encourage you to apply. We value potential and are committed to supporting growth and development. We’re an equal opportunity employer, committed to building a workplace where every perspective sparks progress. We welcome applications from women, Indigenous Peoples, visible minorities, persons with disabilities, and members of the 2SLGBTQIA+ community. Need accommodation during the recruitment process? Just let us know, we’ll make it happen. Mining. Redefined. We’re building a modern mining company driven by innovation, accountability, and a deep commitment to sustainability. Please note that IAMGOLD does not use AI tools within our applicant tracking system to support the screening of applications Canada", "summaryDescription" : "Autonomous Hardware and Radio Technician at IAMGOLD. Skills: Autonomous hardware, Radio systems, Mining technology, Wireless communication. Install wired/wireless communications. 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"technicalSkills" : "Nanopore sequencing, Illumina sequencing, R, Python", "professionalSkills" : [ "Data analysis", "Statistical analysis", "Sample collection", "Data integrity", "Grant writing" ], "hardSkillsList" : [ "Molecular techniques", "Microbial cultivation", "Nitrogen isotope approaches", "Bioinformatic analysis", "Statistical analysis" ], "hardSkills" : [ { "name" : "Molecular techniques", "level" : "intermediate" }, { "name" : "Microbial cultivation", "level" : "intermediate" }, { "name" : "Nitrogen isotope approaches", "level" : "intermediate" }, { "name" : "Bioinformatic analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "majorSkills" : "Soil microbiomes, Plant microbiomes, Microbiome analysis, Bioinformatics", "majorSkillsList" : [ "Soil microbiomes", "Plant microbiomes", "Microbiome analysis", "Bioinformatics" ], "coreResponsibilities" : "Design research on soil and plant microbiomes, Conduct research on soil and plant microbiomes, Manage research on soil and plant microbiomes, Use advanced molecular techniques, Coordinate field sample collection, Coordinate laboratory sample collection, Collaborate with research partners, Supervise research assistants, Train research assistants, Perform bioinformatic analyses, Perform statistical analyses, Integrate findings, Interpret biological relationships, Interpret ecological relationships, Prepare data summaries, Prepare reports, Prepare manuscripts, Prepare grant materials, Present research findings", "teamCollaboration" : "Collaborate with research partners", "domainKnowledge" : "Soil microbiomes; Plant microbiomes; Microbial communities; Nitrogen use", "domainList" : [ "soil-microbiomes", "plant-microbiomes", "microbial-communities", "nitrogen-use" ], "domainSpecificKnowledge" : [ "Soil microbiomes", "Plant microbiomes", "Microbial communities", "Nitrogen use" ], "toolProficiency" : [ "R", "Python" ], "communicationSkills" : "Present research findings", "documentationSkills" : "Prepare data summaries; Prepare reports; Prepare manuscripts; Prepare grant materials", "specialRequirements" : "Legally authorized to work in U.S, No sponsorship available", "qualificationsBasic" : "Ph. D. in microbiology or related field", "qualificationsPreferred" : "Experience conducting independent research, Proficiency in DNA/RNA extraction, Library preparation, Sequencing using Nanopore, Sequencing using Illumina platforms, Experience cultivating microbes, Phenotypic characterization, Genotypic characterization, Bioinformatic tools, Pipelines for amplicon sequencing, Microbial whole genome assembly, Microbial annotation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Position Title: Postdoctoral Research Associate – Soil and Plant Microbiomes ## Appointment Type: Post Doc/Trainee ## Job Description: **Summary of Duties and Responsibilities:** The Postdoctoral Research Associate will design, conduct, and manage research on soil and plant root microbiomes using advanced molecular techniques, including Nanopore and Illumina sequencing, microbial cultivation, and nitrogen isotope approaches to quantify microbial and plant nitrogen use. This position will coordinate field and laboratory sample collection efforts, collaborate with research partners, and supervise and train research assistants to ensure high-quality data and sample integrity. The Postdoc will perform bioinformatic and statistical analyses of microbiome, soil, and plant datasets using tools such as R or Python, integrating findings to interpret biological and ecological relationships. The role also includes preparing data summaries, reports, manuscripts, and grant materials, as well as presenting research findings to funding agencies and scientific audiences. **Required Minimum Qualifications:** Ph. D. in microbiology or related field. **Preferred Qualifications:** * Experience conducting independent research involving microbial communities, including proficiency in DNA/RNA extraction, library preparation, and sequencing using Nanopore and/or Illumina platforms. * Experience cultivating microbes under aerobic and hypoxic conditions, including phenotypic and genotypic characterization. * Experience using bioinformatic tools and pipelines for amplicon sequencing-based microbiome analysis, as well as microbial whole genome assembly and annotation. **Department/Program & College Description:** The Department of Plant Pathology and Microbiology and the Department of Entomology officially merged as of September 1, 2022. The new department is known as the Department of Plant Pathology, Entomology, and Microbiology (PPEM). The overall mission of the Department is to benefit society through research, teaching, and extension activities that improve pest management and prevent disease. Collectively, the Department consists of about 100 [faculty, staff, and students](https://www.ppem.iastate.edu/people) who are engaged in research, teaching, and extension activities that are central to the mission of the [College of Agriculture and Life Sciences](https://www.cals.iastate.edu/). **Department Unit/Website:** [Plant Pathology, Entomology and Microbiology](https://www.ppem.iastate.edu/) Candidates must be legally authorized to work in the U.S. on an ongoing basis without sponsorship. Immigration sponsorship is not available for this position. **Application Instructions:** To apply for this position, please click on “Apply” and complete the Employment Application. Please be prepared to enter or attach the following: Resume/Curriculum Vitae Letter of Application/Cover Letter **Why Choose Iowa State University?** Iowa State Employees enjoy comprehensive health and work-life benefits, including medical and dental, as well as: * Retirement benefits including defined benefit and defined contribution plans * Generous vacation, holiday, and sick time and leave plans * Onsite childcare (Ames, Iowa) * Life insurance and long-term disability * Flexible Spending Accounts * Various voluntary benefits and discounts * Employee Assistance Program * Wellbeing program * Iowa State offers WorkFlex options for some positions. WorkFlex offers flexibility on when, where, and how you do your work. For more information, please speak with the Hiring Manager. If you have questions regarding this application process, please email employment@iastate.edu, or call 515-294-4800 or Toll Free: 1-877-477-7485. ## Proposed Start Date: July 1, 2026 ## Number of Months Employed Per Year: 12 Month Work Period ## Time Type: Full time ## Pay Grade: Post Docs ## Original Posting Date: June 15, 2026 ## Posting Close Date: June 21, 2026 ## Job Requisition Number: R19377 Iowa State University does not discriminate on the basis of race, color, age, ethnicity, religion, national origin, pregnancy, sexual orientation, genetic information, sex, marital status, disability, or status as a U.S. Veteran. Inquiries regarding non-discrimination policies may be directed to Office of Equal Opportunity, 2680 Beardshear Hall, 515 Morrill Road, Ames, Iowa 50011, Tel. 515-294-7612, email [eooffice@iastate.edu](mailto:eooffice@iastate.edu). General ISU compensation information can be found on the [University Human Resources](https://www.hr.iastate.edu/careers/compensation) website. Please note that this is only a list of ranges and individuals will be paid commensurate with qualifications.", "summaryDescription" : "Postdoctoral Research Associate – Soil and Plant Microbiomes at Iowa State University. Skills: Soil microbiomes, Plant microbiomes, Microbiome analysis, Bioinformatics. Design research on soil and plant microbiomes. 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You will establish Amazon's hardware verification and validation competency at unprecedented scale, serving as the technical authority and strategic owner for V&V frameworks, test infrastructure, and related hardware validation systems across our product line. You will build deep partnerships with internal robotics teams, architect our verification and validation infrastructure, and influence product design from concept through production deployment. You will partner with engineering leaders across the robotics organization, shape our product architecture, and define our verification and validation roadmap. Key job responsibilities Develop Verification and Validation (V&V) Plans: Work with mechanical and electrical engineering teams to create comprehensive test plans for components and systems. Hardware Requirements Verification: Verify that hardware meets defined specifications and functional requirements through targeted, value-based testing. Create Test Programs and Methods: Design test programs (Design Validation Testing and End-of-Line Testing), plans, and methods for subsystem verification tests and complete system V&V tests to support new technology and product development. Test Execution and Reporting: Execute test plans, generate test reports, and document results. Design Test Fixtures: Design, construct, and monitor specialized test fixtures for testing. Basic Qualifications: 15+ years in hardware engineering or related technical disciplines Bachelor's degree in engineering or related technical field Experience leading complex, multi-system projects from conception to delivery Proven track record of influencing senior leadership and driving technical decisions Demonstrated ability to design and implement large-scale distributed systems Preferred Qualifications: M.S. in Engineering or related technical field Experience in functional decomposition with ability to lead teams to perform model-based simulation engineering, systems engineering, system architecture requirements, technical analysis, and technology research Experience in rapid prototyping and agile testing methodologies applied to systems and automation Technical publications and patents 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, MA, N.Reading - 163,400.00 - 221,000.00 USD annually USA, WA, Seattle - 163,400.00 - 221,000.00 USD annually", "summaryDescription" : "Principal Hardware Engineer, Amazon Industrial Robotics- Verification and Validation at Amazon. com Services LLC. Skills: Verification and validation, Robotics systems, Hardware architecture. Develop V&V Plans. 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Title: Research Pharmacy Technician (Flagstaff, AZ) Compensation: $24.50- $28.50 per hour, depending on experience Work Schedule: Monday-Friday, 7:00a - 4:00p (set schedule) Key Responsibilities: Receiving and verifying the accuracy and authenticity of investigational products prescriptions Reviewing and recording patient information with their medication in compliance with the guidelines of the protocol Stocking the pharmacy with inventory Providing instructions to educate people on the correct way to take their medicine Supporting the Pharmacist in the daily operation of the pharmacy Protecting employees and patients by adhering to infection-control protocols and policies Disbursing completed and confirmed meds to patients Answering incoming calls and fielding patient questions Maintaining a clean and safe pharmacy by complying with regulations, rules and procedures Maintain accountability logs Knowledge, Skills, and Abilities: Certified Pharmacy Technician At least one (1) year experience working as a pharmacy tech at a private practice, hospital, or pharmacy setting Adhere to IRB approved protocols Understand good clinical practice (GCP) and regulatory compliance Comply with institutional policies, standard operating procedures (SOPs) and guidelines Knowledge of basic medical terminology Availability to work weekends as needed Effective communication, excellent attention to detail, strong information and time management, and administrative/computer skills Bilingual (Spanish-Speaking) preferred Education and Experience: High school diploma or GED from an accredited institution required Associate degree or active Pharmacy Tech license preferred Minimum (1) year experience working in a clinical research setting preferred Benefits & Perks: Health, Dental, Vision (with HSA plans and employer contribution) 2 Weeks PTO 5 days Sick Time 7 Company holidays + 2 Half-days 401k with company match Short- & Long-Term Disability Educational Assistance Shared company vehicles for required travel Travel Requirements: Some inter-office travel may be required as needed with the use of a company vehicle or mileage reimbursement. Work authorization/security clearance requirements Must have valid documentation and authorization to work in the U. S. for any employer EEO Statement: It is the policy of the Institute for Liver Health DBA Arizona Liver Health and Arizona Clinical Trials to provide equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information or any other protected characteristic under applicable law. This policy relates to all phases of employment, including, but not limited to, recruiting, employment, placement, promotion, transfer, demotion, reduction of workforce and termination, rates of pay or other forms of compensation, selection for training, the use of all facilities, and participation in all company-sponsored employee activities. Provisions in applicable laws providing for bona fide occupational qualifications, business necessity or age limitations will be adhered to by the company where appropriate. Notice to Staffing Agencies: It is our policy that any and all contact with third party staffing or recruitment vendors come through our Talent Acquisition Team directly. We have an established and preferred network of contracted partners that we engage if and when we deem it necessary. We request that staffing agencies refrain from repeatedly contacting our hiring managers or employees directly. Unsolicited resumes, onsite solicitations, and inquiries will not be considered or responded to. Overly persistent or forceful inquires may also be blocked across our network at the domain level as spam. Thank you for your understanding.", "summaryDescription" : "Research Pharmacy Technician at Arizona Liver Health. Skills: Pharmacy operations, Clinical research support. Prepare and dispense medications. Compound sterile and non-sterile preparations", "postedDate" : "2026-06-16T03:16:56.054", "createdAt" : "2026-06-16T03:16:56.054", "lastUpdated" : "2026-06-16T12:45:38.980", "ingestTimestamp" : "2026-06-16T03:16:56.054", "mongoId" : "6a30a20ff292fd229c118aba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 49920, "salaryAnnualMax" : 58240, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Compounding sterile products", "Medication dispensing", "Drug inventory control", "Pharmacy operations", "Clinical research support", "Medication compounding", "Inventory management", "Patient counseling", "Pharmacy practice", "Clinical trial protocols", "Good Pharmacy Practice (GPP)", "Good Clinical Practice (GCP)", "Pharmacy Technician Certification Board (PTCB) certification", "Arizona Board of Pharmacy Technician license", "Pharmacy management software", "Microsoft Office Suite" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 519.7036, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 74726, "totalPages" : 1495, "hasNext" : true, "hasPrevious" : false } }

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