{ "count" : 48657, "data" : [ { "id" : "6a305098f292fd229cef28cd", "title" : "Manager, AI Agents and Platform", "company" : "Jerry. ai", "industry" : "Product", "salary" : { "min" : 130000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "Miami, Florida", "Houston, Texas", "Los Angeles, California", "New York, New York", "Chicago, Illinois", "Atlanta, Georgia" ], "timestamp" : "2026-06-16T10:58:18.614", "fingerprint" : "8904fed3afde47cdb3edb91abf4887e6fe3968965d7cf77c121ca9639fa2a1ac", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/78520c51-c059-4645-9237-a1a5d7e4205e/application", "externalId" : "78520c51-c059-4645-9237-a1a5d7e4205e", "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" : "LLMs, Agents, APIs, SQL", "professionalSkills" : [ "API design", "System architecture" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Guardrails", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI platform, LLM systems, Workflow automation", "majorSkillsList" : [ "AI platform", "LLM systems", "Workflow automation" ], "coreResponsibilities" : "Lead end-to-end development for AI platform, Lead end-to-end development for customer experiences, Design prompt strategies, Design evaluation frameworks, Design guardrails, Serve as technical translator, Establish AI best practices, Establish platform standards, Drive systematic improvement in answer quality, Drive systematic improvement in customer satisfaction, Drive systematic improvement in automation rates, Evaluate next generation voice models, Deploy next generation voice models, Evaluate workflow automation, Deploy workflow automation", "teamCollaboration" : "Partner with engineers; Technical translator between engineering; Work with partners at OpenAI", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Car ownership; Car insurance; Car financing; Car maintenance; Car safety; Voice models", "domainList" : [ "car-ownership", "car-insurance", "car-financing", "car-maintenance", "car-safety", "voice-models" ], "domainSpecificKnowledge" : [ "Car ownership", "Car insurance", "Car financing", "Car maintenance", "Car safety", "Voice models" ], "communicationSkills" : "Technical translator", "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Data-driven validation", "outcomesObjectives" : "Automate >70% inbound sales; Automate >70% service requests; Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "4+ years management consulting, 4+ years technical product management, Ability to navigate technical tradeoffs, Lead by example implementing AI standards, Turn complex ideas into scalable products", "qualificationsPreferred" : "Proven interest in modern LLM systems", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "WHY JERRY.AI http://Jerry.ai? - We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. 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While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. 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You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. 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LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Product Owner, AI Agents and Platform at Jerry. ai. Skills: AI platform, LLM systems, Workflow automation. Lead end-to-end development for AI platform. 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LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 5+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems and a desire to work in a regulated production environment. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, AI Agents and Platform at Jerry.ai. Skills: AI Agents, Platform development, LLM systems. Lead end-to-end development for AI platform. 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LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Product Owner, AI Agents and Platform at Jerry. ai. Skills: AI platform, LLM systems, Product strategy. Lead end-to-end development for AI platform. 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LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 5+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems and a desire to work in a regulated production environment. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, AI Agents and Platform at Jerry.ai. Skills: AI Agents, LLM systems, Platform standards. Lead end-to-end development for AI platform. 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LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 5+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems and a desire to work in a regulated production environment. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, AI Agents and Platform at Jerry.ai. Skills: AI Agents, LLM systems, Platform standards. Lead end-to-end development for AI platform. 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LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. 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LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Product Manager, AI Agents and Platform at Jerry. ai. Skills: AI platform, LLM systems, Workflow automation. Lead end-to-end development for AI platform. 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- We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Manager, AI Agents and Platform at Jerry.ai. Skills: AI Agents, LLM systems, Platform development. Lead end-to-end development for AI platform. 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LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Manager, AI Agents and Platform at Jerry.ai. Skills: AI Agents, LLM systems, Platform development. Lead end-to-end development for AI platform. 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LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Product Manager, AI Agents and Platform at Jerry.ai. Skills: AI platform, LLM systems, Workflow automation. Lead end-to-end development. Design prompt strategies", "createdAt" : "2026-06-14T04:12:38.365", "lastUpdated" : "2026-06-15T08:52:51.982", "ingestTimestamp" : "2026-06-14T04:12:38.365", "mongoId" : "6a2cb13c74d8ee00a09dc94c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Technical translation", "Leadership", "AI platform", "LLM systems", "Workflow automation", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Prompt strategies", "Evaluation frameworks", "System architecture", "API design", "Roadmap", "Product development", "Car ownership", "Human-in-the-loop feedback", "Computer-use agents", "Voice models" ], "skillCount" : 19, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3057f1f292fd229cf3f031", "title" : "Internship AI Agents", "company" : "KPN", "industry" : "Information Technology And Services", "salary" : { "min" : 600.0, "max" : 600.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amersfoort, UT, Netherlands", "locations" : [ "Amersfoort", "UT", "Netherlands" ], "timestamp" : "2026-06-16T09:10:59.342", "fingerprint" : "841c6589d0e017797e728f6cce719701a93d845eed291e4f332043811f0eb1e0", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/KPN/744000132228350-internship-ai-agents-", "externalId" : "744000132228350", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amersfoort", "state" : "Utrecht", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.1637703,5.4088845" } ], "locationText" : "Amersfoort, Utrecht, Netherlands", "employmentType" : "FULL_TIME", "experienceLevel" : "internship", "technicalSkills" : "Artificial intelligence, Machine learning, AI agent, Large language models, LLMs, Git", "professionalSkills" : [ "Analytical skills", "Problem-solving abilities" ], "hardSkillsList" : [ "AI frameworks", "NLP", "API development" ], "hardSkills" : [ { "name" : "AI frameworks", "level" : "intermediate" }, { "name" : "NLP", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" } ], "majorSkills" : "AI agent development, Machine learning, Documentation generation", "majorSkillsList" : [ "AI agent development", "Machine learning", "Documentation generation" ], "coreResponsibilities" : "Develop AI agent framework, Implement AI agent solutions, Generate documentation, Maintain documentation, Design intelligent agent systems, Write clean code, Follow coding standards, Conduct testing, Debug AI agent applications, Research emerging AI technologies, Evaluate AI methodologies, Document technical specifications, Document design decisions, Document implementation details, Contribute to team meetings, Share insights, Assist integrating AI agents, Integrate with existing systems, Integrate with APIs", "teamCollaboration" : "Multicultural team; Multidisciplinary team; Experienced professionals; Fellow interns", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Telecommunications; Network operations", "domainList" : [ "telecommunications", "network-operations" ], "domainSpecificKnowledge" : [ "Telecommunications", "Network operations" ], "toolProficiency" : [ "Git" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Technical documentation; Design documentation; Implementation documentation", "continuousLearning" : "Access to experts", "innovationCreativity" : "Researching the future; Innovate infrastructure", "problemSolvingSkills" : "Problem-solving abilities; Analytical skills", "specialRequirements" : "Laptop for internship use, Laptop for academic use", "qualificationsBasic" : "Bachelor's or Master's degree, Artificial intelligence and machine learning fundamentals, Speak and write English, Reside in the Netherlands", "qualificationsPreferred" : "Knowledge of AI agent architectures, Knowledge of large language models (LLMs), Experience with version control systems (Git), AI or ML projects portfolio, GitHub portfolio", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "In 2025, KPN’s network was recognized as the best in the Netherlands and achieved the highest score ever recorded globally. This achievement is the result of the continuous efforts of our network teams, who work tirelessly to improve and innovate our infrastructure. To maintain this level of excellence, we are constantly seeking talented individuals who can contribute to our mission including students interested in researching the future of telecommunications, IT, AI, and other fields related to networks. Do you want to gain hands-on experience in developing cutting-edge AI agent solutions while working alongside experienced professionals in a multicultural, multidisciplinary team? Join the Automation team in the Fixed Access department of KPN Networks. As a Fixed Access intern you will contribute to the design, development, and testing of intelligent agents that leverage the latest advancements in artificial intelligence and machine learning. This role offers a dynamic environment where innovation meets practical application, allowing you to develop your technical skill set while making meaningful contributions to real-world projects. A selection of your tasks as an intern: * Develop and implement AI agent framework and solutions specific to generate and maintain up to date documentation in order to support the operations of the network. * Collaborate with senior developers to design and architect intelligent agent systems. * Write clean, well-documented code following best practices and coding standards. * Conduct testing and debugging of AI agent applications to ensure optimal performance and reliability. * Research and evaluate emerging AI technologies and methodologies relevant to agent development. * Document technical specifications, design decisions, and implementation details. * Contribute to team meetings and share insights on project progress and technical challenges. * Assist in integrating AI agents with existing systems and APIs. ## Qualifications We are looking for someone who is motivated and who has excellent analytical and problem-solving abilities. In addition, you recognize yourself in the following: * You are pursuing a Bachelor's or Master's degree in fields such as Electrical Engineering, Artificial Intelligence, Computer Science, Information Science, or similar IT/Data-related studies. * You have a solid of artificial intelligence and machine learning fundamentals. * You enjoy working collaboratively, but can also work independently and take responsibility. * You speak and write English, and optionally Dutch. * You bring knowledge of of AI agent architectures and large language models (LLMs) and have experience with version control systems (Git). * You deliver high-quality code with sharp focus on detail and clear communication. * You reside in the Netherlands. We appreciate skills in AI frameworks, NLP, API development, Agile or Scrum. If you have AI or ML projects, add your portfolio or GitHub to your CV or cover letter. ## Additional Information What can you expect from KPN? * A monthly internship allowance of €600 based on full-time participation. * Opportunities to engage in activities and collaborate with fellow interns and colleagues. * The potential for employment at KPN upon successful completion of the internship. * A hybrid working environment: 2 days in the office, 3 days remote. * A laptop for both internship and academic use. * Travel reimbursement for train or car if you do not have a student public transport card. * Collaboration within a multidisciplinary team of experienced professionals. * Access to an extensive network of experts at KPN who are eager to share their knowledge and connections. We have a strong belief in the power of technology made even more impactful through human interaction. We look forward to meeting you! For more information, please contact our recruiter Julie Kleijzen at +31 6 33 04 99 52 or via julie.kleijzen@kpn.com. Please note that applications submitted via email will not be processed. Kindly express your interest through the application button. At KPN, we believe in smart collaboration and collective success. Therefore, acquisition in response to this vacancy is not appreciated.", "summaryDescription" : "Internship AI Agents at KPN. Skills: AI agent development, Machine learning, Documentation generation. Develop AI agent framework. Implement AI agent solutions", "postedDate" : "2026-06-15T15:04:53.000", "createdAt" : "2026-06-15T23:44:08.414", "lastUpdated" : "2026-06-16T09:10:59.342", "ingestTimestamp" : "2026-06-15T23:44:08.414", "mongoId" : "6a3057f1f292fd229cf3f031", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "AI frameworks", "NLP", "API development", "AI agent development", "Machine learning", "Documentation generation", "Analytical skills", "Problem-solving abilities", "Agile", "Scrum", "Telecommunications", "Network operations", "Git" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3054eff292fd229cf1bfe1", "title" : "Internship AI Agents", "company" : "KPN", "industry" : "Information Technology And Services", "salary" : { "min" : 600.0, "max" : 600.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amersfoort, UT, Netherlands", "locations" : [ "Amersfoort", "UT", "Netherlands" ], "timestamp" : "2026-06-16T08:56:22.326", "fingerprint" : "52f88d4a43d7592a3e003c5ed788560d66c49d983e9e2bb040fcdd6009c3f37c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/KPN/744000132228350-internship-ai-agents-", "externalId" : "744000132228350", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amersfoort", "state" : "Utrecht", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.1637703,5.4088845" } ], "locationText" : "Amersfoort, Utrecht, Netherlands", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "internship", "technicalSkills" : "Artificial intelligence, Machine learning, AI agents, Large language models, LLMs", "professionalSkills" : [ "Problem-solving", "Analytical abilities" ], "hardSkillsList" : [ "AI frameworks", "NLP", "API development" ], "hardSkills" : [ { "name" : "AI frameworks", "level" : "intermediate" }, { "name" : "NLP", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" } ], "majorSkills" : "AI agents, Machine learning, Documentation", "majorSkillsList" : [ "AI agents", "Machine learning", "Documentation" ], "coreResponsibilities" : "Develop AI agent framework, Implement AI agent solutions, Generate documentation, Maintain documentation, Support network operations, Collaborate with senior developers, Design intelligent agent systems, Architect intelligent agent systems, Write clean code, Follow coding standards, Conduct testing, Debug AI agent applications, Ensure optimal performance, Ensure reliability, Research AI technologies, Evaluate AI methodologies, Document technical specifications, Document design decisions, Document implementation details, Contribute to team meetings, Share insights, Assist integrating AI agents, Integrate with existing systems, Integrate with APIs", "teamCollaboration" : "Multidisciplinary team; Experienced professionals; Team meetings", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Telecommunications; Networks; IT; Data", "domainList" : [ "telecommunications", "networks", "it", "data" ], "domainSpecificKnowledge" : [ "Telecommunications", "Networks", "IT", "Data" ], "toolProficiency" : [ "Git" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Documentation; Technical specifications; Design decisions; Implementation details", "continuousLearning" : "Research emerging AI technologies", "innovationCreativity" : "Innovate infrastructure; Develop cutting-edge AI agent solutions", "problemSolvingSkills" : "Problem-solving abilities; Analytical abilities", "specialRequirements" : "Travel reimbursement", "qualificationsBasic" : "Bachelor's or Master's degree, Solid AI/ML fundamentals, Speak and write English, Reside in the Netherlands", "qualificationsPreferred" : "Knowledge of AI agent architectures, Knowledge of LLMs, Experience with Git, Deliver high-quality code, Sharp focus on detail, Clear communication, Optional Dutch language skills", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "In 2025, KPN’s network was recognized as the best in the Netherlands and achieved the highest score ever recorded globally. This achievement is the result of the continuous efforts of our network teams, who work tirelessly to improve and innovate our infrastructure. To maintain this level of excellence, we are constantly seeking talented individuals who can contribute to our mission including students interested in researching the future of telecommunications, IT, AI, and other fields related to networks. Do you want to gain hands-on experience in developing cutting-edge AI agent solutions while working alongside experienced professionals in a multicultural, multidisciplinary team? Join the Automation team in the Fixed Access department of KPN Networks. As a Fixed Access intern you will contribute to the design, development, and testing of intelligent agents that leverage the latest advancements in artificial intelligence and machine learning. This role offers a dynamic environment where innovation meets practical application, allowing you to develop your technical skill set while making meaningful contributions to real-world projects. A selection of your tasks as an intern: * Develop and implement AI agent framework and solutions specific to generate and maintain up to date documentation in order to support the operations of the network. * Collaborate with senior developers to design and architect intelligent agent systems. * Write clean, well-documented code following best practices and coding standards. * Conduct testing and debugging of AI agent applications to ensure optimal performance and reliability. * Research and evaluate emerging AI technologies and methodologies relevant to agent development. * Document technical specifications, design decisions, and implementation details. * Contribute to team meetings and share insights on project progress and technical challenges. * Assist in integrating AI agents with existing systems and APIs. ## Qualifications We are looking for someone who is motivated and who has excellent analytical and problem-solving abilities. In addition, you recognize yourself in the following: * You are pursuing a Bachelor's or Master's degree in fields such as Electrical Engineering, Artificial Intelligence, Computer Science, Information Science, or similar IT/Data-related studies. * You have a solid of artificial intelligence and machine learning fundamentals. * You enjoy working collaboratively, but can also work independently and take responsibility. * You speak and write English, and optionally Dutch. * You bring knowledge of of AI agent architectures and large language models (LLMs) and have experience with version control systems (Git). * You deliver high-quality code with sharp focus on detail and clear communication. * You reside in the Netherlands. We appreciate skills in AI frameworks, NLP, API development, Agile or Scrum. If you have AI or ML projects, add your portfolio or GitHub to your CV or cover letter. ## Additional Information What can you expect from KPN? * A monthly internship allowance of €600 based on full-time participation. * Opportunities to engage in activities and collaborate with fellow interns and colleagues. * The potential for employment at KPN upon successful completion of the internship. * A hybrid working environment: 2 days in the office, 3 days remote. * A laptop for both internship and academic use. * Travel reimbursement for train or car if you do not have a student public transport card. * Collaboration within a multidisciplinary team of experienced professionals. * Access to an extensive network of experts at KPN who are eager to share their knowledge and connections. We have a strong belief in the power of technology made even more impactful through human interaction. We look forward to meeting you! For more information, please contact our recruiter Julie Kleijzen at +31 6 33 04 99 52 or via julie.kleijzen@kpn.com. Please note that applications submitted via email will not be processed. Kindly express your interest through the application button. At KPN, we believe in smart collaboration and collective success. Therefore, acquisition in response to this vacancy is not appreciated.", "summaryDescription" : "Internship AI Agents at KPN. Skills: AI agents, Machine learning, Documentation. Develop AI agent framework. Implement AI agent solutions", "postedDate" : "2026-06-15T15:04:53.000", "createdAt" : "2026-06-15T23:32:24.246", "lastUpdated" : "2026-06-16T08:56:22.326", "ingestTimestamp" : "2026-06-15T23:32:24.246", "mongoId" : "6a3054eff292fd229cf1bfe1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "AI frameworks", "NLP", "API development", "AI agents", "Machine learning", "Documentation", "Problem-solving", "Analytical abilities", "Agile", "Scrum", "Telecommunications", "Networks", "IT", "Data", "Git" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3054eff292fd229cf1bfe3", "title" : "Meewerkstage AI Agents", "company" : "KPN", "industry" : "Information Technology And Services", "salary" : { "min" : 600.0, "max" : 600.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amersfoort, UT, Netherlands", "locations" : [ "Amersfoort", "UT", "Netherlands" ], "timestamp" : "2026-06-16T08:40:37.920", "fingerprint" : "20b3ad915803b9454d654212f6f003c2f5c295051200fbbd74615915e88b2720", "source" : "smartrecruiters", "language" : "nl", "applyUrl" : "https://jobs.smartrecruiters.com/KPN/744000132228779-meewerkstage-ai-agents", "externalId" : "744000132228779", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amersfoort", "state" : "Utrecht", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.1637703,5.4088845" } ], "locationText" : "Amersfoort, Utrecht, Netherlands", "employmentType" : "FULL_TIME", "experienceLevel" : "internship", "technicalSkills" : "AI, Machine Learning, Large Language Models, Git", "professionalSkills" : [ "Problem solving", "Responsibility taking" ], "hardSkillsList" : [ "AI agent development", "Code documentation", "Technical specification", "System integration" ], "hardSkills" : [ { "name" : "AI agent development", "level" : "intermediate" }, { "name" : "Code documentation", "level" : "intermediate" }, { "name" : "Technical specification", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" } ], "majorSkills" : "AI Agents, Machine Learning, Network Operations", "majorSkillsList" : [ "AI Agents", "Machine Learning", "Network Operations" ], "coreResponsibilities" : "Develop AI agent frameworks, Implement AI agent solutions, Generate documentation, Update documentation, Collaborate on design, Collaborate on architecture, Write documented code, Test AI agent applications, Research AI technologies, Assess AI methods, Document technical specifications, Document design choices, Document implementation details, Contribute to team meetings, Share insights, Support system integration, Support API integration", "teamCollaboration" : "Multidisciplinary team; Automation team; Fixed Access department", "domainKnowledge" : "Telecom; Network operations; AI agent architectures; Large language models", "domainList" : [ "telecom", "network-operations", "ai-agent-architectures", "large-language-models" ], "domainSpecificKnowledge" : [ "Telecom", "Network operations", "AI agent architectures", "Large language models" ], "toolProficiency" : [ "Git" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Code documentation; Technical documentation; Design documentation; Implementation documentation", "continuousLearning" : "KPN Academy; Workshops", "innovationCreativity" : "Develop innovative AI-agent solutions", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "specialRequirements" : "Living in Netherlands", "qualificationsBasic" : "HBO or WO degree, Fundamentals of AI/ML, English and Dutch speaking, Knowledge of AI agent architectures, Knowledge of large language models, Experience with Git, High-quality code, Attention to detail, Clear communication", "qualificationsPreferred" : "Experience with AI frameworks, NLP experience, API development experience, Agile or Scrum experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "In 2025 werd het netwerk van KPN erkend als het beste van Nederland en behaalde het de hoogste score die wereldwijd is gemeten. Dit resultaat is het gevolg van de voortdurende inzet van onze netwerkteams, die zich dagelijks inzetten om onze infrastructuur te verbeteren en te innoveren. Om dit hoge niveau te behouden, zijn we continu op zoek naar talent dat kan bijdragen aan onze missie, waaronder studenten die onderzoek willen doen naar de toekomst van telecom, IT, AI en andere netwerkgerelateerde vakgebieden. Wil je praktijkervaring opdoen met het ontwikkelen van innovatieve AI-agentoplossingen, terwijl je samenwerkt met ervaren professionals in een multicultureel en multidisciplinair team? Sluit je aan bij het Automation-team binnen de afdeling Fixed Access van KPN Networks. Als stagiair(e) Fixed Access draag je bij aan het ontwerp, de ontwikkeling en het testen van intelligente agents die gebruikmaken van de nieuwste ontwikkelingen in artificial intelligence en machine learning. Je werkt in een dynamische omgeving waar innovatie en praktische toepassing samenkomen. Dit biedt je de kans om je technische vaardigheden te ontwikkelen en tegelijkertijd een waardevolle bijdrage te leveren aan projecten met impact in de praktijk. Een greep uit jouw taken als stagiair(e): * Je ontwikkelt en implementeert AI-agentframeworks en oplossingen gericht op het genereren en actueel houden van documentatie ter ondersteuning van netwerkoperaties. * Je werkt samen met senior developers aan het ontwerp en de architectuur van intelligente agentsystemen. * Je schrijft duidelijke, goed gedocumenteerde code volgens bestaande standaarden en best practices. * Je test AI-agentapplicaties om prestaties en betrouwbaarheid te waarborgen. * Je onderzoekt en beoordeelt nieuwe AI-technologieën en methodes die relevant zijn voor agentontwikkeling. * Je documenteert technische specificaties, ontwerpkeuzes en implementatiedetails. * Je draagt actief bij aan teamoverleggen en deelt inzichten over voortgang en technische uitdagingen. * Je ondersteunt bij de integratie van AI-agents met bestaande systemen en API’s. ## Qualifications Wij zoeken iemand die gemotiveerd is en beschikt over sterke analytische en probleemoplossende vaardigheden. Daarnaast herken je jezelf in het volgende: * Je volgt een hbo- of wo-opleiding in bijvoorbeeld Electrical Engineering, Artificial Intelligence, Computer Science, Information Science of een vergelijkbare IT- of data-gerelateerde studie. * Je hebt een goede basis in de fundamentals van artificial intelligence en machine learning. * Je werkt graag samen, maar kunt ook zelfstandig werken en verantwoordelijkheid nemen. * Je spreekt en schrijft Engels, en eventueel ook Nederlands. * Je hebt kennis van AI-agentarchitecturen en large language models (LLM’s) en ervaring met versiebeheersystemen zoals Git. * Je levert kwalitatief hoogwaardige code, met oog voor detail en heldere communicatie. * Je woont in Nederland. Ervaring met AI-frameworks, NLP, API-ontwikkeling en Agile of Scrum is een pré. Heb je al projecten gedaan binnen AI of machine learning? Voeg dan je portfolio of GitHub toe aan je cv of motivatiebrief. ## Additional Information Dit ontvang je van KPN: * Een stagevergoeding van EUR 600,- (o.b.v. 40 uur). * Een laptop, die je ook kunt gebruiken voor jouw schoolopdrachten. * Heb je geen studenten-ov? Dan worden jouw reiskosten vergoed voor de trein of auto. * Je krijgt bij ons een vaste begeleider die jou op professionele manier coacht in jouw stage. * Je krijgt toegang tot een groot netwerk van experts bij KPN die graag hun kennis & netwerk met jou delen. * Breid jouw kennis & skills uit door onze KPN Academy en workshops. * Fun activiteiten via Jong KPN en het stagiair-netwerk. * En ook niet onbelangrijk; regelmatig zijn er gezellige borrels en activiteiten op kantoor. Ben jij klaar voor deze uitdaging en wil je bijdragen aan het succes van KPN? Ons geloof in technologie is groot. Dit wordt nóg krachtiger samen met menselijk contact, daarom ontmoeten we je graag! Wil je meer weten? Neem contact op met onze recruiter Julie Kleijzen via julie.kleijzen@kpn.com. Sollicitaties die per e-mail worden verstuurd, worden niet in behandeling genomen. Graag je interesse kenbaar maken via de sollicitatieknop. Bij KPN hebben we recruitmenttalent dat slim samenwerkt en zo wint. Daarom wordt acquisitie naar aanleiding van deze vacature niet gewaardeerd.", "summaryDescription" : "Meewerkstage AI Agents at KPN. Skills: AI Agents, Machine Learning, Network Operations. Develop AI agent frameworks. Implement AI agent solutions", "postedDate" : "2026-06-15T15:04:36.000", "createdAt" : "2026-06-15T23:40:06.141", "lastUpdated" : "2026-06-16T08:40:37.920", "ingestTimestamp" : "2026-06-15T23:40:06.141", "mongoId" : "6a3054eff292fd229cf1bfe3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "AI agent development", "Code documentation", "Technical specification", "System integration", "AI Agents", "Machine Learning", "Network Operations", "Problem solving", "Responsibility taking", "Telecom", "Network operations", "AI agent architectures", "Large language models", "Git" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3057f1f292fd229cf3f032", "title" : "Meewerkstage AI Agents", "company" : "KPN", "industry" : "Information Technology And Services", "salary" : { "min" : 600.0, "max" : 600.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amersfoort, UT, Netherlands", "locations" : [ "Amersfoort", "UT", "Netherlands" ], "timestamp" : "2026-06-16T07:04:34.579", "fingerprint" : "43e12ada3068149ae0a6fc55f38aa9f7e5f675453e53399ad4eac87190d88aa1", "source" : "smartrecruiters", "language" : "nl", "applyUrl" : "https://jobs.smartrecruiters.com/KPN/744000132228779-meewerkstage-ai-agents", "externalId" : "744000132228779", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amersfoort", "state" : "Utrecht", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.1637703,5.4088845" } ], "locationText" : "Amersfoort, Utrecht, Netherlands", "employmentType" : "FULL_TIME", "experienceLevel" : "internship", "technicalSkills" : "AI, Machine Learning, LLMs", "professionalSkills" : [ "Problem solving", "Responsibility" ], "hardSkillsList" : [ "AI agent development", "Code documentation", "Technical specifications", "System integration" ], "hardSkills" : [ { "name" : "AI agent development", "level" : "intermediate" }, { "name" : "Code documentation", "level" : "intermediate" }, { "name" : "Technical specifications", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" } ], "majorSkills" : "AI Agents, Machine Learning, Network Operations", "majorSkillsList" : [ "AI Agents", "Machine Learning", "Network Operations" ], "coreResponsibilities" : "Develop and implement AI agent frameworks, Generate and update documentation, Support network operations, Collaborate with senior developers, Design intelligent agent systems, Write clear code, Document code, Test AI agent applications, Ensure performance and reliability, Research new AI technologies, Assess new AI methods, Document technical specifications, Document design choices, Document implementation details, Contribute to team meetings, Share insights, Support AI agent integration, Integrate with existing systems, Integrate with APIs", "teamCollaboration" : "Multidisciplinary team; Automation team; Fixed Access department", "domainKnowledge" : "Telecom; Network operations; AI agent architectures; Large language models", "domainList" : [ "telecom", "network-operations", "ai-agent-architectures", "large-language-models" ], "domainSpecificKnowledge" : [ "Telecom", "Network operations", "AI agent architectures", "Large language models" ], "toolProficiency" : [ "Git" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Code documentation; Technical documentation", "continuousLearning" : "KPN Academy; Workshops", "innovationCreativity" : "Develop innovative AI-agent solutions", "problemSolvingSkills" : "Problem solving skills; Analytical skills", "specialRequirements" : "Living in the Netherlands", "qualificationsBasic" : "HBO or WO degree, Fundamentals of AI/ML, English and Dutch speaking, Knowledge of AI agent architectures, Knowledge of LLMs, Experience with Git, High-quality code, Attention to detail, Clear communication", "qualificationsPreferred" : "Experience with AI frameworks, NLP experience, API development experience, Agile or Scrum experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "In 2025 werd het netwerk van KPN erkend als het beste van Nederland en behaalde het de hoogste score die wereldwijd is gemeten. Dit resultaat is het gevolg van de voortdurende inzet van onze netwerkteams, die zich dagelijks inzetten om onze infrastructuur te verbeteren en te innoveren. Om dit hoge niveau te behouden, zijn we continu op zoek naar talent dat kan bijdragen aan onze missie, waaronder studenten die onderzoek willen doen naar de toekomst van telecom, IT, AI en andere netwerkgerelateerde vakgebieden. Wil je praktijkervaring opdoen met het ontwikkelen van innovatieve AI-agentoplossingen, terwijl je samenwerkt met ervaren professionals in een multicultureel en multidisciplinair team? Sluit je aan bij het Automation-team binnen de afdeling Fixed Access van KPN Networks. Als stagiair(e) Fixed Access draag je bij aan het ontwerp, de ontwikkeling en het testen van intelligente agents die gebruikmaken van de nieuwste ontwikkelingen in artificial intelligence en machine learning. Je werkt in een dynamische omgeving waar innovatie en praktische toepassing samenkomen. Dit biedt je de kans om je technische vaardigheden te ontwikkelen en tegelijkertijd een waardevolle bijdrage te leveren aan projecten met impact in de praktijk. Een greep uit jouw taken als stagiair(e): * Je ontwikkelt en implementeert AI-agentframeworks en oplossingen gericht op het genereren en actueel houden van documentatie ter ondersteuning van netwerkoperaties. * Je werkt samen met senior developers aan het ontwerp en de architectuur van intelligente agentsystemen. * Je schrijft duidelijke, goed gedocumenteerde code volgens bestaande standaarden en best practices. * Je test AI-agentapplicaties om prestaties en betrouwbaarheid te waarborgen. * Je onderzoekt en beoordeelt nieuwe AI-technologieën en methodes die relevant zijn voor agentontwikkeling. * Je documenteert technische specificaties, ontwerpkeuzes en implementatiedetails. * Je draagt actief bij aan teamoverleggen en deelt inzichten over voortgang en technische uitdagingen. * Je ondersteunt bij de integratie van AI-agents met bestaande systemen en API’s. ## Qualifications Wij zoeken iemand die gemotiveerd is en beschikt over sterke analytische en probleemoplossende vaardigheden. Daarnaast herken je jezelf in het volgende: * Je volgt een hbo- of wo-opleiding in bijvoorbeeld Electrical Engineering, Artificial Intelligence, Computer Science, Information Science of een vergelijkbare IT- of data-gerelateerde studie. * Je hebt een goede basis in de fundamentals van artificial intelligence en machine learning. * Je werkt graag samen, maar kunt ook zelfstandig werken en verantwoordelijkheid nemen. * Je spreekt en schrijft Engels, en eventueel ook Nederlands. * Je hebt kennis van AI-agentarchitecturen en large language models (LLM’s) en ervaring met versiebeheersystemen zoals Git. * Je levert kwalitatief hoogwaardige code, met oog voor detail en heldere communicatie. * Je woont in Nederland. Ervaring met AI-frameworks, NLP, API-ontwikkeling en Agile of Scrum is een pré. Heb je al projecten gedaan binnen AI of machine learning? Voeg dan je portfolio of GitHub toe aan je cv of motivatiebrief. ## Additional Information Dit ontvang je van KPN: * Een stagevergoeding van EUR 600,- (o.b.v. 40 uur). * Een laptop, die je ook kunt gebruiken voor jouw schoolopdrachten. * Heb je geen studenten-ov? Dan worden jouw reiskosten vergoed voor de trein of auto. * Je krijgt bij ons een vaste begeleider die jou op professionele manier coacht in jouw stage. * Je krijgt toegang tot een groot netwerk van experts bij KPN die graag hun kennis & netwerk met jou delen. * Breid jouw kennis & skills uit door onze KPN Academy en workshops. * Fun activiteiten via Jong KPN en het stagiair-netwerk. * En ook niet onbelangrijk; regelmatig zijn er gezellige borrels en activiteiten op kantoor. Ben jij klaar voor deze uitdaging en wil je bijdragen aan het succes van KPN? Ons geloof in technologie is groot. Dit wordt nóg krachtiger samen met menselijk contact, daarom ontmoeten we je graag! Wil je meer weten? Neem contact op met onze recruiter Julie Kleijzen via julie.kleijzen@kpn.com. Sollicitaties die per e-mail worden verstuurd, worden niet in behandeling genomen. Graag je interesse kenbaar maken via de sollicitatieknop. Bij KPN hebben we recruitmenttalent dat slim samenwerkt en zo wint. Daarom wordt acquisitie naar aanleiding van deze vacature niet gewaardeerd.", "summaryDescription" : "Meewerkstage AI Agents at KPN. Skills: AI Agents, Machine Learning, Network Operations. Develop and implement AI agent frameworks. Generate and update documentation", "postedDate" : "2026-06-15T15:04:36.000", "createdAt" : "2026-06-15T23:34:05.898", "lastUpdated" : "2026-06-16T07:04:34.579", "ingestTimestamp" : "2026-06-15T23:34:05.898", "mongoId" : "6a3057f1f292fd229cf3f032", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "AI agent development", "Code documentation", "Technical specifications", "System integration", "AI Agents", "Machine Learning", "Network Operations", "Problem solving", "Responsibility", "Telecom", "Network operations", "AI agent architectures", "Large language models", "Git" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a9f4074d8ee00a06a5c57", "title" : "Senior Manager, AI Agents and Platform", "company" : "Jerry. ai", "industry" : "Product", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "New York, New York", "Boston, Massachusetts", "Los Angeles, California", "Atlanta, Georgia", "Chicago, Illinois", "Toronto, Ontario" ], "timestamp" : "2026-06-14T22:09:02.629", "fingerprint" : "9e3a961ea6eb3ddea2406ecf269658fb38de6c68494fa9c3b1357e03a023b63a", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/50e8c1a8-466c-4711-8bec-5fe5af8d831f/application", "externalId" : "50e8c1a8-466c-4711-8bec-5fe5af8d831f", "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" : "LLMs, APIs, SQL", "professionalSkills" : [ "AI platform standards", "System architecture", "Technical product management" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Workflow automation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI Agents, Platform development, LLM systems", "majorSkillsList" : [ "AI Agents", "Platform development", "LLM systems" ], "coreResponsibilities" : "Lead end-to-end development for AI platform, Lead end-to-end development for customer experiences, Design prompt strategies, Design evaluation frameworks, Design guardrails, Serve as technical translator, Establish AI best practices, Establish platform standards, Drive systematic improvement in answer quality, Drive systematic improvement in customer satisfaction, Drive systematic improvement in automation rates, Evaluate voice models, Deploy voice models, Evaluate workflow automation, Deploy workflow automation", "teamCollaboration" : "Partner with engineers; Technical translator between engineering and organization", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Car ownership industry; Regulated production environment; Voice models", "domainList" : [ "car-ownership-industry", "regulated-production-environment", "voice-models" ], "domainSpecificKnowledge" : [ "Car ownership industry", "Regulated production environment", "Voice models" ], "communicationSkills" : "Translate complex concepts", "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic Problem-Solver; Data-Driven", "outcomesObjectives" : "Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "5+ years of experience in management consulting or technical product management", "qualificationsPreferred" : "Proven interest in modern LLM systems, Desire to work in a regulated production environment", "remoteFriendly" : true, "rawDescription" : "WHY JERRY.AI http://Jerry.ai? - We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 5+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems and a desire to work in a regulated production environment. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, AI Agents and Platform at Jerry. ai. Skills: AI Agents, Platform development, LLM systems. Lead end-to-end development for AI platform. Lead end-to-end development for customer experiences", "postedDate" : "2026-06-11T17:05:56.763", "createdAt" : "2026-06-11T17:05:56.763", "lastUpdated" : "2026-06-14T22:09:02.629", "ingestTimestamp" : "2026-06-11T17:05:56.763", "mongoId" : "6a2a9f4074d8ee00a06a5c57", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Workflow automation", "Leadership", "AI Agents", "Platform development", "LLM systems", "AI platform standards", "System architecture", "Technical product management", "Roadmap planning", "Car ownership industry", "Regulated production environment", "Voice models" ], "skillCount" : 14, "jobCategory" : "product", "jobSubcategory" : "product-management", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a9f4074d8ee00a06a5c53", "title" : "Product Owner, AI Agents and Platform", "company" : "Jerry.ai", "industry" : "Product", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "New York, New York", "Boston, Massachusetts", "Los Angeles, California", "Atlanta, Georgia", "Chicago, Illinois", "Toronto, Ontario" ], "timestamp" : "2026-06-13T08:47:30.142", "fingerprint" : "41c66972757333a43fcd6fa9f4ea213ed355908fa20543e127bbe1451ac80d4b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/a048801f-ac5d-4fb0-bbff-5ff8ba8b67d0/application", "externalId" : "a048801f-ac5d-4fb0-bbff-5ff8ba8b67d0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "LLMs, APIs", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "System architecture", "API design" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Automation rates" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Automation rates", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI, LLMs, Product management", "majorSkillsList" : [ "AI", "LLMs", "Product management" ], "coreResponsibilities" : "Lead end-to-end development for AI platform, Shape how LLM systems redefine industry, Partner with engineers to design prompt strategies, Partner with engineers to design evaluation frameworks, Partner with engineers to design guardrails, Serve as technical translator, Establish AI best practices, Establish platform standards, Drive systematic improvement in answer quality, Drive systematic improvement in customer satisfaction, Drive systematic improvement in automation rates, Work with partners to evaluate voice models, Work with partners to deploy voice models, Work with partners to evaluate workflow automation, Work with partners to deploy workflow automation", "teamCollaboration" : "Cross-functional collaboration", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Car ownership; LLMs; Agents; AI platform; Voice models; Workflow automation", "domainList" : [ "car-ownership", "llms", "agents", "ai-platform", "voice-models", "workflow-automation" ], "domainSpecificKnowledge" : [ "Car ownership", "LLMs", "Agents", "AI platform", "Voice models", "Workflow automation" ], "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Systems thinker", "outcomesObjectives" : "Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "4+ years experience in management consulting, 4+ years experience in technical product management, Familiar with SQL", "qualificationsPreferred" : "Proven interest in modern LLM systems, Ability to navigate technical tradeoffs, Lead by example implementing AI platform standards, Track record of turning ideas into products", "remoteFriendly" : true, "rawDescription" : "WHY JERRY.AI http://Jerry.ai? - We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Product Owner, AI Agents and Platform at Jerry.ai. Skills: AI, LLMs, Product management. Lead end-to-end development for AI platform. 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LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. 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LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 5+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems and a desire to work in a regulated production environment. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, AI Agents and Platform at Jerry. ai. Skills: AI Agents, Platform, LLMs. Lead end-to-end development for AI platform. 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- We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Product Manager, AI Agents and Platform at Jerry.ai. Skills: AI platform, LLM systems, Product management. Lead end-to-end development for AI platform. Lead end-to-end development for customer experiences", "postedDate" : "2026-06-11T17:42:17.251", "createdAt" : "2026-06-11T17:42:17.251", "lastUpdated" : "2026-06-14T20:40:55.886", "ingestTimestamp" : "2026-06-11T17:42:17.251", "mongoId" : "6a25249b74d8ee00a00e281e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "SQL", "Systems Thinker", "Optimistic Problem-Solver", "AI platform", "LLM systems", "Product management", "Product strategy", "Roadmap development", "User stories", "Technical translation", "AI best practices", "Platform standards", "Prompt strategies", "Evaluation frameworks", "System architecture", "Roadmap", "Car ownership industry", "Human-in-the-loop feedback", "Computer-use agents", "Voice models", "Workflow automation" ], "skillCount" : 21, "jobCategory" : "product", "jobSubcategory" : "product-management", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a9f4074d8ee00a06a5c4d", "title" : "Senior Product Manager, AI Agents and Platform", "company" : "Jerry.ai", "industry" : "Product", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "New York, New York", "Boston, Massachusetts", "Los Angeles, California", "Atlanta, Georgia", "Chicago, Illinois", "Toronto, Ontario" ], "timestamp" : "2026-06-13T05:36:11.596", "fingerprint" : "16da60aa33a1918a051f2e6b8504430b673ac0f27bc147806108922ef425cdb1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/220135d7-9580-472e-8425-08c590c6bd56/application", "externalId" : "220135d7-9580-472e-8425-08c590c6bd56", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "LLMs, APIs, AI, SQL", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "System architecture", "API design" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Automation rates" ], "softSkillsList" : [ "Systems thinker", "Optimistic problem-solver" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Automation rates", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Systems thinker" }, { "name" : "Optimistic problem-solver" } ], "majorSkills" : "AI platform, LLM systems, Customer experience", "majorSkillsList" : [ "AI platform", "LLM systems", "Customer experience" ], "coreResponsibilities" : "Lead end-to-end development for AI platform, Lead end-to-end development for customer experiences, Partner with engineers to design prompt strategies, Partner with engineers to design evaluation frameworks, Partner with engineers to design guardrails, Serve as technical translator, Establish AI best practices, Establish platform standards, Drive systematic improvement in answer quality, Drive systematic improvement in customer satisfaction, Drive systematic improvement in automation rates, Work with partners to evaluate voice models, Work with partners to deploy voice models, Work with partners to evaluate workflow automation, Work with partners to deploy workflow automation", "teamCollaboration" : "Cross-functional collaboration; Partner with engineers; Technical translator", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Car ownership industry; LLM systems; Human-in-the-loop feedback; Computer-use agents; Voice models; Workflow automation", "domainList" : [ "car-ownership-industry", "llm-systems", "human-in-the-loop-feedback", "computer-use-agents", "voice-models", "workflow-automation" ], "domainSpecificKnowledge" : [ "Car ownership industry", "LLM systems", "Human-in-the-loop feedback", "Computer-use agents", "Voice models", "Workflow automation" ], "communicationSkills" : "Technical translator", "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Systems thinker", "outcomesObjectives" : "Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "4+ years management consulting, 4+ years technical product management, Proven interest in LLM systems, Ability to navigate technical tradeoffs, Lead by example implementing AI standards, Track record of turning ideas into products", "qualificationsPreferred" : "Experience with custom workflows", "remoteFriendly" : true, "rawDescription" : "WHY JERRY.AI http://Jerry.ai? - We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Product Manager, AI Agents and Platform at Jerry.ai. Skills: AI platform, LLM systems, Customer experience. Lead end-to-end development for AI platform. Lead end-to-end development for customer experiences", "postedDate" : "2026-06-11T17:19:14.077", "createdAt" : "2026-06-11T17:19:14.077", "lastUpdated" : "2026-06-13T05:36:11.596", "ingestTimestamp" : "2026-06-11T17:19:14.077", "mongoId" : "6a2a9f4074d8ee00a06a5c4d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Automation rates", "Systems thinker", "Optimistic problem-solver", "AI platform", "LLM systems", "Customer experience", "Product strategy", "Roadmap development", "User stories", "System architecture", "API design", "Car ownership industry", "Human-in-the-loop feedback", "Computer-use agents", "Voice models", "Workflow automation" ], "skillCount" : 18, "jobCategory" : "product", "jobSubcategory" : "product-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "68b706987fc9a711f0f6fdd0", "title" : "Sr. Infrastructure Edge Strategy, TPM, Edge Strategy and Planning", "company" : "Amazon Data Services, Inc.", "industry" : "Project/Program/Product Management--Technical, Infra Business Dev - Tech, Cloud Computing", "salary" : { "min" : 133100.0, "max" : 220100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T01:03:17.112", "fingerprint" : "dae3f09d5b454022fa42fb56a33775c693e3be004a68d0c39dfade070880a0b0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3053183/apply", "externalId" : "e194d93d-46ce-4903-b75e-b4084ba5544f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, EC2, S3, Lambda, CloudFront, Route53, FireTV, Kindle, Echo", "professionalSkills" : [ "Infrastructure planning", "Capacity planning", "Cost optimization", "Business partnerships", "Network design", "Traffic engineering", "Routing policy", "Supply chain" ], "hardSkillsList" : [ "Data center architectures", "Network designs", "Capacity delivery", "Configuration deployment", "Impairment detection", "Traffic optimization" ], "softSkillsList" : [ "Bold ideas" ], "hardSkills" : [ { "name" : "Data center architectures", "level" : "intermediate" }, { "name" : "Network designs", "level" : "intermediate" }, { "name" : "Capacity delivery", "level" : "intermediate" }, { "name" : "Configuration deployment", "level" : "intermediate" }, { "name" : "Impairment detection", "level" : "intermediate" }, { "name" : "Traffic optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Bold ideas" } ], "majorSkills" : "Infrastructure strategy, Edge infrastructure, Network planning, Global expansion", "majorSkillsList" : [ "Infrastructure strategy", "Edge infrastructure", "Network planning", "Global expansion" ], "coreResponsibilities" : "Develop strategy for growth, Improve resiliency, scalability, cost, performance, Review and select data center architectures, Develop new network designs, Create action plans for constraints, Initiate long-lead work for growth, Optimize network for cost savings, Set future strategies and roadmap, Identify priority locations for re-architecture, Manage cross-functional input for partnerships, Build solutions, Develop plans of record for scaling, Set schedules for infrastructure migrations, Work with external customers for requirements, Enable new infrastructure launches, Improve cost structures for architecture, Evolve routing policy, Implement traffic engineering solutions, Grow peering footprint, Secure internet front door, Architect hardware platforms, Support Amazon products reaching end-users, Improve and automate internet connectivity, Deliver capacity, Deploy configurations, Detect impairments, Optimize traffic", "teamCollaboration" : "Cross-functional teams; Partner teams; International teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Edge infrastructure; Data center expansion; Internet connectivity; Cloud computing", "domainList" : [ "edge-infrastructure", "data-center-expansion", "internet-connectivity", "cloud-computing" ], "domainSpecificKnowledge" : [ "Edge infrastructure", "Data center expansion", "Internet connectivity", "Cloud computing" ], "communicationSkills" : "Executive presentations; Technical writing", "continuousLearning" : "Mentorship; Career growth", "innovationCreativity" : "Bold ideas", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "Bachelor's degree in IT-related field or equivalent experience, 7+ years strategic product or infrastructure decisions, 7+ years network design, development, or procurement", "qualificationsPreferred" : "MS, MBA, JD, or other advanced degree, Develop business case for new features or expansions, Knowledge of network design principles and commercial models, Experience influencing executive leadership, Learn and master new technical subject-matter, Excellent writing ability, Experience working with international teams", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (“AWS”) offers a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications. We are growing quickly and dynamically, including in our global data center footprint. This role is part of the Infrastructure Global Expansion team, which is responsible for our strategy for data center expansion for edge infrastructure. In this role, you will develop the strategy for growth in key locations for interconnect capacity. You will develop both the business partnerships and technical approach to improve our resiliency, scalability, cost, and performance on behalf of our customers. You will deal with reviewing and selecting data center architectures as well as new network designs. Your key deliverables will be action plans to fix both short-term constraints in a cost-efficient and timely way as well as kicking off long-lead work to enable longer term growth and to optimize our network to achieve cost savings. Key job responsibilities Responsibilities include: - Setting the future strategies and roadmap for the team across new products, with a focus on EMEA - Identifying priority locations within EMEA to re-architect existing infrastructure approaches - Managing cross-functional input to inform potential partnerships and build solutions - Developing plans of record for scaling and growing infrastructure in different metro areas - Setting schedules for infrastructure migrations and re-designs - Working with external customers to identify requirements and prospective partnerships to enable new infrastructure launches - Improving cost structures for preferred infrastructure architecture A day in the life Technical Infrastructure Program Managers in the Internet Edge organization have a wide range of responsibilities; We evolve routing policy, implement traffic engineering solutions, grow our peering footprint, secure the “front door” from bad actors on the Internet, and architect the hardware platforms and network design to support any Amazon product that needs to reach end-users worldwide. Our technical infrastructure moves terabits of traffic to and from the internet at any given moment, and represents one of the largest edge surface areas in the world, requiring complex solutions to ensure that capacity always stays ahead of demand. To accomplish this, our Technical Infrastructure Program Managers work with a diverse range of partner teams to continually improve and automate our internet connectivity in areas such as capacity delivery, configuration deployment, impairment detection, and traffic optimization. Technical Infrastructure Program Managers for the internet edge make decisions on both a day-to-day and long-term strategic basis, which carry a large amount of responsibility and impact across all of Amazon's products. About the team Within AWS Networking, the Internet Edge organization is responsible for connecting Amazon to Internet. With connections to thousands of unique external networks in hundreds of locations across the world, our mission is to deliver an internet-connectivity experience that sets the global standard for performance, availability, security, and cost, making Amazon the clear choice for customers’ needs. Our team provides high-performing internet connectivity for a wide range of use cases, such as retail (amazon.com), video streaming (Prime Video), content delivery (CloudFront), DNS (Route53), AWS services (such as EC2/S3), consumer devices (such as FireTV/Kindle/Echo), and more. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - Bachelor's degree in an IT-related field, or equivalent experience - 7+ years’ experience driving strategic product or infrastructure decisions - 7+ years’ experience in network design, development, or procurement Preferred Qualifications: - MS, MBA, JD, or other advanced degree - Demonstrated ability to develop a business case for new features or geographic expansions - Knowledge of network design principles and commercial models around network capacity procurement - Experience influencing executive leadership - Demonstrated ability to learn and master new technical subject-matter - Excellent writing ability - Experience working with international teams 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 $133,100/year in our lowest geographic market up to $220,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr. Infrastructure Edge Strategy, TPM, Edge Strategy and Planning at Amazon Data Services, Inc.. Skills: Infrastructure strategy, Edge infrastructure, Network planning, Global expansion. Develop strategy for growth. Improve resiliency, scalability, cost, performance", "postedDate" : "2026-06-13T03:06:47.697", "createdAt" : "2026-06-13T03:06:47.697", "lastUpdated" : "2026-06-15T01:03:17.112", "ingestTimestamp" : "2026-06-13T03:06:47.697", "mongoId" : "68b706987fc9a711f0f6fdd0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3053183/apply", "salaryAnnualMin" : 133100, "salaryAnnualMax" : 220100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data center architectures", "Network designs", "Capacity delivery", "Configuration deployment", "Impairment detection", "Traffic optimization", "Bold ideas", "Infrastructure strategy", "Edge infrastructure", "Network planning", "Global expansion", "Infrastructure planning", "Capacity planning", "Cost optimization", "Business partnerships", "Network design", "Traffic engineering", "Routing policy", "Supply chain", "Roadmap planning", "Data center expansion", "Internet connectivity", "Cloud computing" ], "skillCount" : 23, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c7dc574d8ee00a0950bf0", "title" : "Hardware Engineer (Edge AI)", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 1300000.0, "max" : 2000000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Hardware Engineer in Taiwan, adjusted for the technology industry and company size." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-15T22:44:02.570", "fingerprint" : "fd4f7dc75ecc3a7e6e6c1c36a303df6ca9abb4af7e8932befeb2c06a06353df2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4187096009", "externalId" : "4187096009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "PCIe, DDR, USB, XGbE, Serdes, MIPI CSI, DSI, DC-DC, VRMs, OrCAD Capture, Allegro", "professionalSkills" : [ "Circuit design", "Component selection", "PCB layout review", "Hardware bring-up", "Hardware debugging", "Hardware validation", "Functional tests", "Performance benchmarks", "Thermal resilience", "EMIC compliance", "Product requirements translation", "Hardware specifications", "Architectural designs", "Test strategies", "Product optimization", "Reliability optimization", "Cost-efficiency optimization", "Manufacturability optimization", "Hardware challenges diagnosis", "Product performance" ], "hardSkillsList" : [ "Schematic capture", "PCB layout", "Power supply design", "Signal integrity analysis", "EMIC compliance testing", "Thermal analysis" ], "softSkillsList" : [ "Problem-solving", "Analytical skills", "Ownership mentality" ], "hardSkills" : [ { "name" : "Schematic capture", "level" : "intermediate" }, { "name" : "PCB layout", "level" : "intermediate" }, { "name" : "Power supply design", "level" : "intermediate" }, { "name" : "Signal integrity analysis", "level" : "intermediate" }, { "name" : "EMIC compliance testing", "level" : "intermediate" }, { "name" : "Thermal analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Analytical skills" }, { "name" : "Ownership mentality" } ], "majorSkills" : "Hardware design, Edge AI hardware, Circuit design, Signal integrity", "majorSkillsList" : [ "Hardware design", "Edge AI hardware", "Circuit design", "Signal integrity" ], "coreResponsibilities" : "Architect hardware, Design hardware, Validate hardware, Capture schematics, Select components, Review PCB layout, Lead hardware bring-up, Debug hardware, Validate hardware functionally, Validate hardware for performance, Validate hardware for thermal resilience, Validate hardware for EMIC compliance, Collaborate with BSP teams, Collaborate with DQA teams, Collaborate with SI/PI teams, Collaborate with mechanical teams, Collaborate with software teams, Collaborate with industrial design teams, Collaborate with manufacturing teams, Translate product requirements, Create hardware specifications, Create architectural designs, Create test strategies, Optimize products for reliability, Optimize products for cost-efficiency, Optimize products for manufacturability, Diagnose hardware challenges, Conquer hardware challenges", "teamCollaboration" : "Cross-functional collaboration; BSP teams; DQA teams; SI/PI teams; Mechanical teams; Software teams; Industrial design teams; Manufacturing teams", "domainKnowledge" : "Edge AI; Surveillance systems; Enterprise storage; High-speed interfaces; Power systems; Signal integrity; EMIC design; ARM-based SoC platforms", "domainList" : [ "edge-ai", "surveillance-systems", "enterprise-storage", "high-speed-interfaces", "power-systems", "signal-integrity", "emic-design", "arm-based-soc-platforms" ], "domainSpecificKnowledge" : [ "Edge AI", "Surveillance systems", "Enterprise storage", "High-speed interfaces", "Power systems", "Signal integrity", "EMIC design", "ARM-based SoC platforms" ], "toolProficiency" : [ "OrCAD Capture", "Allegro", "Oscilloscopes", "Logic analyzers", "Spectrum analyzers", "Network sniffers" ], "communicationSkills" : "Communicate complex ideas", "innovationCreativity" : "Pushing technological boundaries; Challenging the status quo; Crafting elegant solutions", "problemSolvingSkills" : "Problem-solving prowess; Analytical skills; Diagnose complex hardware challenges", "qualificationsBasic" : "3+ years hardware design, 3+ years hardware development, Bachelor's in Electrical Engineering, Master's in Electrical Engineering, Digital circuit design, Analog circuit design, Core electrical engineering principles, High-speed interface design, Signal integrity, Power supply solutions, EDA tools for schematic capture, EDA tools for PCB layout, Hardware debugging tools, Thermal management, EMIC design", "qualificationsPreferred" : "Edge AI engineering experience, Surveillance systems engineering experience, Enterprise storage solutions experience, Video processing hardware exposure, Advanced storage interfaces exposure, ARM-based SoC platforms familiarity, Peripheral ecosystems familiarity, Design for Manufacturing eye, Leveraging AI tools for hardware design, Leveraging AI tools for analysis, Leveraging AI tools for validation, Familiarity with Ubiquiti portfolio", "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 In the Edge AI team, you'll be at the forefront of shaping the next generation of surveillance hardware. We're dedicated to pushing technological boundaries, challenging the status quo, and crafting elegant solutions that redefine what's possible. This isn't just a role; it's an invitation to build the future. Responsibilities Architect, design, and rigorously validate cutting-edge hardware for our Edge AI products, tackling everything from core motherboards to robust power systems and high-speed I/ O. Take charge of schematic capture, intelligent component selection, and meticulous PCB layout review, ensuring top-tier integrity, manufacturability, and adherence to critical signal/power requirements. Lead the charge on hardware bring-up, debugging, and comprehensive validation, covering functional tests, performance benchmarks, thermal resilience, and EMI/EMC compliance. Champion cross-functional collaboration with BSP, DQA, SI/PI, mechanical, software, industrial design, and manufacturing teams, driving products from concept to mass production. Translate complex product requirements into precise hardware specifications, robust architectural designs, and comprehensive test strategies for our Edge AI systems. Continuously optimize products for peak reliability, cost-efficiency, and seamless manufacturability, owning the hardware journey end-to-end. Diagnose and conquer complex hardware challenges, from initial development kinks to in-field anomalies, ensuring rock-solid product performance. Requirement Proven mastery in digital and analog circuit design, backed by a strong command of core electrical engineering principles. Deep expertise in high-speed interface design (PCIe, DDR, USB, XGbE, Serdes, MIPI CSI, DSI) and critical signal integrity. Hands-on experience architecting robust power supply solutions (DC-DC, VRMs) for embedded systems. Proficiency with industry-standard EDA tools for schematic capture and PCB layout (e.g., OrCAD Capture, Allegro). Strong proficiency and command of hardware debugging tools – oscilloscopes, logic analyzers, spectrum analyzers, network sniffers – you know your way around a lab. Solid understanding of thermal management and EMI/EMC design for compliance. A Bachelor’s or Master’s degree in Electrical Engineering or a related technical field. 3+ years of hands-on, impactful hardware design and development experience. Exceptional problem-solving prowess, razor-sharp analytical skills, and the ability to communicate complex ideas with clarity and conviction. Preferred Qualifications Direct experience in engineering Edge AI, surveillance systems, or enterprise storage solutions. Exposure to video processing hardware or advanced storage interfaces (SATA/NVMe). Familiarity with ARM-based SoC platforms and their intricate peripheral ecosystems. A keen eye for Design for Manufacturing (DFM). You’re a self-starter with a strong ownership mentality, thriving in a fast-paced, ambiguous environment where you can truly make an impact. A proactive mindset in leveraging AI-powered tools and methodologies to enhance hardware design, analysis, and validation efficiency. You're already familiar with the Ubiquiti portfolio and what makes us tick.", "summaryDescription" : "Hardware Engineer (Edge AI) at Ubiquiti. Skills: Hardware design, Edge AI hardware, Circuit design, Signal integrity. Architect hardware. Design hardware", "postedDate" : "2026-06-14T19:11:18.402", "createdAt" : "2026-06-14T19:11:18.402", "lastUpdated" : "2026-06-15T22:44:02.570", "ingestTimestamp" : "2026-06-14T19:11:18.402", "mongoId" : "6a2c7dc574d8ee00a0950bf0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Schematic capture", "PCB layout", "Power supply design", "Signal integrity analysis", "EMIC compliance testing", "Thermal analysis", "Problem-solving", "Analytical skills", "Ownership mentality", "Hardware design", "Edge AI hardware", "Circuit design", "Signal integrity", "Component selection", "PCB layout review", "Hardware bring-up", "Hardware debugging", "Hardware validation", "Functional tests", "Performance benchmarks", "Thermal resilience", "EMIC compliance", "Product requirements translation", "Hardware specifications", "Architectural designs", "Test strategies", "Product optimization", "Reliability optimization", "Cost-efficiency optimization", "Manufacturability optimization", "Hardware challenges diagnosis", "Product performance", "Edge AI", "Surveillance systems", "Enterprise storage", "High-speed interfaces", "Power systems", "EMIC design", "ARM-based SoC platforms", "OrCAD Capture", "Allegro", "Oscilloscopes", "Logic analyzers", "Spectrum analyzers", "Network sniffers" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8b9574d8ee00a09732f6", "title" : "AI Engineer, Generative AI Agents", "company" : "LG Ads", "industry" : "Engineering", "salary" : { "min" : 135000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Denver, CO", "locations" : [ "Denver, CO", "New York, NY" ], "timestamp" : "2026-06-15T09:08:20.435", "fingerprint" : "5f0f4d82acb84080a1df03efbc47e360f4ec911402ec189cdab0005a1d8ab548", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lgads/e4f63ec6-ac22-471d-8e08-dc52fa9f8d6d/application", "externalId" : "e4f63ec6-ac22-471d-8e08-dc52fa9f8d6d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" }, { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "Denver, Colorado, United States; New York, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, AWS Bedrock, FastAPI, LangGraph, AWS, Databricks, Snowflake, LLMs, Generative AI, RAG, Vector stores, Machine Learning, AI agents", "professionalSkills" : [ "Platform engineering", "Agile delivery", "System integration", "API development", "Data processing", "Scalable compute", "Cost optimization", "Latency tuning", "Throughput tuning" ], "hardSkillsList" : [ "Intent detection", "Query decomposition", "Context engineering", "LLM serving", "Inference", "RAG pipelines", "Evaluation harnesses", "Observability", "Data monetization" ], "hardSkills" : [ { "name" : "Intent detection", "level" : "intermediate" }, { "name" : "Query decomposition", "level" : "intermediate" }, { "name" : "Context engineering", "level" : "intermediate" }, { "name" : "LLM serving", "level" : "intermediate" }, { "name" : "Inference", "level" : "intermediate" }, { "name" : "RAG pipelines", "level" : "intermediate" }, { "name" : "Evaluation harnesses", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Data monetization", "level" : "intermediate" } ], "majorSkills" : "Generative AI, AI agents, LLMs, Platform engineering", "majorSkillsList" : [ "Generative AI", "AI agents", "LLMs", "Platform engineering" ], "coreResponsibilities" : "Build LLM-powered services, Build LLM-powered APIs, Develop evaluation harnesses, Develop offline eval pipelines, Develop online eval pipelines, Instrument services with logging, Instrument services with tracing, Instrument services with metrics, Design AI agents, Develop AI agents, Implement context engineering, Optimize context engineering, Integrate AI agents internal systems, Integrate AI agents third-party services, Contribute to standardized tooling, Develop solutions operational efficiencies, Automate media planning, Integrate agents into Mosaic, Build client-facing tools, Support custom data, Contribute data monetization, Automate repetitive tasks, Enable self-service data access, Enable self-service data analysis, Participate agile development sprints, Manage ambiguity, Adapt evolving requirements", "teamCollaboration" : "Cross-functional teams; Product teams; Business units; Agile development sprints", "projectManagementSkills" : [ "Agile delivery", "Agile development sprints" ], "domainKnowledge" : "AdTech; AI Data System; LLM serving; RAG pipelines; Vector stores; Intent detection; Query decomposition; Context engineering; Knowledge graphs; Vectorization; Large language models; Foundational models; Scalable compute; Structured data; Unstructured data; AI Services", "domainList" : [ "adtech", "ai-data-system", "llm-serving", "rag-pipelines", "vector-stores", "intent-detection", "query-decomposition", "context-engineering", "knowledge-graphs", "vectorization", "large-language-models", "foundational-models", "scalable-compute", "structured-data", "unstructured-data", "ai-services" ], "domainSpecificKnowledge" : [ "AdTech", "AI Data System", "LLM serving", "RAG pipelines", "Vector stores", "Intent detection", "Query decomposition", "Context engineering", "Knowledge graphs", "Vectorization", "Large language models", "Foundational models", "Scalable compute", "Structured data", "Unstructured data", "AI Services" ], "toolProficiency" : [ "AWS Bedrock", "Databricks", "Snowflake", "FastAPI", "LangGraph" ], "innovationCreativity" : "Innovative technologies; Prototype development", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "specialRequirements" : "4 days/week onsite, No relocation support", "outcomesObjectives" : "Enhance business operations; Enhance partner experiences; Drive efficiency; Unlock new revenue streams; Enable self-service data capabilities; Measure quality regressions; Measure hallucination rates; Measure task specific accuracy; Ensure agents leverage relevant memory; Ensure agents leverage knowledge base; Provide accurate responses; Provide insightful responses; Streamline integration; Streamline maintenance; Build AI solutions company wide; Support custom data; Support data monetization; Automate G&A functions; Expand to HR; Expand to IT Operations; Support diverse data sources", "qualificationsBasic" : "Proven experience designing Generative AI agents, Expertise in intent detection, Expertise in complex query decomposition, Demonstrated experience context engineering, Proven understanding knowledge graphs, Proven understanding vectorization LLMs, Experience building RAG systems, Solid understanding LLMs, Experience with cloud platforms, Experience working agile development, Experience Databricks / Snowflake, Experience AWS", "qualificationsPreferred" : "Master's degree in Computer Science, Master's degree in Artificial Intelligence, Master's degree in Machine Learning, Experience with AWS Bedrock, Experience with Databricks for MCPs, Experience with other big clouds", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We require people to be on-site, 4 days/week at our Denver or NYC office and are unable to offer relocation support. About LG Ads: LG Ads is a leading global ad solutions company, transforming the advertising landscape through innovative technologies. We are building the future of AdTech with our A.I. Data System (ADS), our proprietary AI agent designed to enhance every aspect of our business, from internal operations to external partner experiences. Job Summary: LG Ads is seeking a motivated AI Platform Engineer to join our AI team and help build the in-house platform powering generative AI agents deployed business wide. You'll contribute to the end to end stack; LLM serving and inference, RAG pipelines, evaluation harnesses and the APIs and infrastructure that put agents in production driving efficiency, unlocking new revenue streams and enabling self-service data capabilities across the organization. The role is hands-on: you'll write production Python, integrate with services like AWS Bedrock and vector stores, instrument systems for observability and tune for latency, throughput and cost. We're looking for someone with a foundation in platform engineering and a working understanding of intent detection, query decomposition and context engineering, who is comfortable with agile delivery and can thrive in an ambiguous, fast-paced environment. Responsibilities: - Build and maintain LLM-powered services and APIs (FastAPI, webhooks, LangGraph), translating prototypes into production-ready endpoints with proper error handling, retries and timeouts. - Develop evaluation harnesses and offline/online eval pipelines to measure quality regressions, hallucination rates and task specific accuracy as models and prompts evolve. - Instrument services with logging, tracing, and metrics (latency percentiles, token usage, error rates) so production behavior is observable and debuggable. - Design and develop intelligent AI agents capable of intent recognition and decomposing complex queries into smaller, executable tasks that run in sequence or parallel. - Implement and optimize context engineering techniques to ensure agents leverage relevant short and long-term memory, as well as our aggregated knowledge base, for accurate and insightful responses. - Integrate AI agents with internal systems such as ACR, Mosaic, and Salesforce, and third-party services like SpringServe and DSPs. - Utilize and contribute to the development of standardized tooling protocols to streamline integration and maintenance of AI agents. - Collaborate with cross-functional teams, including product, and business units, to identify and build AI solutions that span the entire company. - Develop and implement solutions for operational efficiencies, such as automating media planning and integrating agents into Mosaic (Home Grown DSP). - Build client-facing tools for voice and natural language data queries, supporting custom data and contributing to data monetization efforts for the ACR platform. - Automate repetitive tasks in General & Administrative (G&A) functions, starting with Finance, and expanding to HR and IT Operations. - Enable self-service data access and analysis using AI agents, supporting diverse data sources. - Participate in agile development sprints, actively contributing to planning, execution, and review. - Manage ambiguity and adapt to evolving requirements in a rapidly developing AI landscape. Required Skills and Qualifications: - Proven experience in designing and developing Generative AI agents. - Strong expertise in intent detection and complex query decomposition. - Demonstrated experience with context engineering for AI models. - Proven understanding of knowledge graphs and/or vectorization as it relates to LLMs - Experience building RAG systems including low level design and implementation of such systems. - Solid understanding of large language models (LLMs) and their application in enterprise solutions, including foundational models like Llama 4 Maverick, Claude, and OpenAI. - Experience with cloud platforms, particularly AWS, for scalable compute and storage resources. - Familiarity with Databricks for processing structured and unstructured data, and its use as a runtime for agents and MCPs. - Experience working in an agile development environment. - Experience in Databricks / Snowflake and all the associated AI components - Experience in AWS ( or the two other big clouds) and the associated AI Services Education: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. LG Ad Solutions provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@lgads.tv to let us know the nature of your request.", "summaryDescription" : "AI Engineer, Generative AI Agents at LG Ads. Skills: Generative AI, AI agents, LLMs, Platform engineering. Build LLM-powered services. Build LLM-powered APIs", "createdAt" : "2026-06-14T06:37:04.483", "lastUpdated" : "2026-06-15T09:08:20.435", "ingestTimestamp" : "2026-06-14T06:37:04.483", "mongoId" : "6a2c8b9574d8ee00a09732f6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 220000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Intent detection", "Query decomposition", "Context engineering", "LLM serving", "Inference", "RAG pipelines", "Evaluation harnesses", "Observability", "Data monetization", "Generative AI", "AI agents", "LLMs", "Platform engineering", "Agile delivery", "System integration", "API development", "Data processing", "Scalable compute", "Cost optimization", "Latency tuning", "Throughput tuning", "Agile development sprints", "AdTech", "AI Data System", "Vector stores", "Knowledge graphs", "Vectorization", "Large language models", "Foundational models", "Structured data", "Unstructured data", "AI Services", "AWS Bedrock", "Databricks", "Snowflake", "FastAPI", "LangGraph" ], "skillCount" : 37, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca0f974d8ee00a09a3f3b", "title" : "Executive Assistant to the President and Chief Operating Officer", "company" : "Inovalon", "industry" : "1001 - Executive Management", "salary" : { "min" : 125000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline adjusted for executive seniority, senior experience, and the healthcare industry in the United States." }, "location" : "BU: Corporate", "locations" : [ "BU: Corporate" ], "timestamp" : "2026-06-15T11:44:27.057", "fingerprint" : "4b7749d95ee8177edff1ed45e0a45b932119a2f08e30e68c8088539c391cda27", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/inovalon/5e48017b-bd01-4217-8fd6-0b564585aad4/application", "externalId" : "5e48017b-bd01-4217-8fd6-0b564585aad4", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Microsoft Office Suite, PowerPoint, Excel", "professionalSkills" : [ "Operational excellence", "Executive project management", "Process improvement" ], "hardSkillsList" : [ "Executive support", "Calendar management", "Travel coordination", "Meeting planning", "Expense reporting", "Document management", "Contract routing" ], "softSkillsList" : [ "Relationship-oriented", "Flexibility", "Resourceful", "Solutions-focused" ], "hardSkills" : [ { "name" : "Executive support", "level" : "intermediate" }, { "name" : "Calendar management", "level" : "intermediate" }, { "name" : "Travel coordination", "level" : "intermediate" }, { "name" : "Meeting planning", "level" : "intermediate" }, { "name" : "Expense reporting", "level" : "intermediate" }, { "name" : "Document management", "level" : "intermediate" }, { "name" : "Contract routing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Relationship-oriented" }, { "name" : "Flexibility" }, { "name" : "Resourceful" }, { "name" : "Solutions-focused" } ], "majorSkills" : "Executive support, Operational leadership, Presentation development, Communication", "majorSkillsList" : [ "Executive support", "Operational leadership", "Presentation development", "Communication" ], "coreResponsibilities" : "Serve as primary partner, Anticipate needs, Manage priorities, Ensure seamless operations, Drive follow-through on decisions, Drive follow-through on action items, Drive follow-through on projects, Ensure clarity, Ensure accountability, Ensure timely execution, Act as extension of President, Create high-quality presentations, Create reports, Create executive team materials, Create board-level materials, Draft executive communications, Draft talking points, Draft internal updates, Manage complex calendars, Prioritize scheduling needs, Coordinate travel itineraries, Coordinate accommodations, Coordinate detailed briefings, Plan internal meetings, Plan external meetings, Execute internal events, Execute external events, Oversee administrative activities, Serve as point of contact, Refine administrative processes, Improve administrative processes, Refine operational processes, Improve operational processes", "teamCollaboration" : "Key connector across executive team; Coordination across teams; Internal partners; External partners", "projectManagementSkills" : [ "Project management" ], "toolProficiency" : [ "Microsoft Office", "PowerPoint", "Excel" ], "communicationSkills" : "Executive communications; Board-level materials; Executive team materials", "specialRequirements" : "Not eligible for immigration sponsorship", "outcomesObjectives" : "Ensure priorities remain aligned; Ensure timelines are met; Ensure team leaders stay on course; Elevate President's impact; Elevate COO's impact", "qualificationsBasic" : "Bachelor's degree or equivalent, 7+ years supporting senior executives, Advanced Microsoft Office Suite proficiency, Exceptional organization skills, Project management skills, Prioritization skills, Excellent written communication skills, Excellent verbal communication skills, Ability to work strategically, Comfortable with detailed execution, Authorized to work in US", "qualificationsPreferred" : "Skill based experience equivalent to Bachelor's", "workSiteFlexibility" : "Onsite", "rawDescription" : "Position Summary We are seeking a highly skilled, proactive, and operationally minded Executive Assistant to support the President Chief Operating Officer (COO) and serve as a key connector across the executive leadership team. This role is designed for a strategic, detail‑oriented professional who will be responsible for creating order, driving operational excellence, and ensuring priorities remain aligned, timelines are met and team leaders stay on course. The ideal candidate thrives in a fast‑paced environment, has exceptional communication and organizational skills, and is equally comfortable handling high‑level executive projects and day‑to‑day administrative tasks. Approaches work with a hands-on mindset and a strong sense of ownership, regardless of scope or complexity. Executive Support & Operational Leadership - Serve as the primary partner to the President and COO, anticipating needs, managing priorities, and ensuring seamless day‑to‑day operations. - Drive follow‑through on decisions, action items, and projects to ensure clarity, accountability, and timely execution. - Can act as an extension of the President and COO in meetings and communications for coordination across teams. Presentation Development & Communication - Create high‑quality presentations, reports, executive team and board‑level materials that clearly communicate complex information. PowerPoint and Excel at a minimum. - Draft executive communications, talking points, and internal updates as needed. Calendar, Travel & Logistics Management - Manage complex, dynamic calendars and prioritize scheduling needs for the President and COO. - Coordinate travel itineraries, accommodations, and detailed briefings to ensure smooth logistics. - Plan and execute internal and external meetings, events, and engagements. Administrative Excellence - Oversee traditional executive administrative activities, including expense reports, document management, and contract routing. - Serve as the point of contact for internal and external partners on behalf of the CPO. - Continuously refine and improve administrative and operational processes. Qualifications - Bachelor’s degree or equivalent skill based experience. - 7+ years of experience supporting senior executives; - Exceptional organization, project management, and prioritization skills. - Advanced proficiency in Microsoft Office Suite, especially PowerPoint and Excel. - Strong judgment, discretion, and the ability to handle confidential information. This cannot be overstated. - Excellent written and verbal communication skills. - Proven ability to work both strategically and tactically; comfortable switching between big‑picture thinking and detailed execution. - Passion for operational excellence and continuous improvement. Personal Attributes - Highly proactive—always one step ahead. - Collaborative, relationship‑oriented, and able to influence without authority. - Calm under pressure and adaptable to shifting priorities. Leads with accountability and a willingness to engage wherever needed to drive results. - Exhibits flexibility and commitment by engaging in both strategic and operational work to meet organizational needs. - Resourceful, solutions‑focused, and committed to elevating the President and COO’s impact on the organization. This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions) If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles. By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth. Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement. To review the legal requirements, including all labor law posters, please visit this link https://postings.govdocs.com/#/8sZXnFNWk3KYs3F To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link https://www.inovalon.com/privacy-policy/", "summaryDescription" : "Executive Assistant to the President and Chief Operating Officer at Inovalon. Skills: Executive support, Operational leadership, Presentation development, Communication. Serve as primary partner. Anticipate needs", "createdAt" : "2026-06-14T05:04:38.900", "lastUpdated" : "2026-06-15T11:44:27.057", "ingestTimestamp" : "2026-06-14T05:04:38.900", "mongoId" : "6a2ca0f974d8ee00a09a3f3b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Executive support", "Calendar management", "Travel coordination", "Meeting planning", "Expense reporting", "Document management", "Contract routing", "Relationship-oriented", "Flexibility", "Resourceful", "Solutions-focused", "Operational leadership", "Presentation development", "Communication", "Operational excellence", "Executive project management", "Process improvement", "Project management", "Microsoft Office", "PowerPoint", "Excel" ], "skillCount" : 21, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2eb32774d8ee00a0e7dc9f", "title" : "Loan Documentation and Processing Associate Analyst", "company" : "Citi", "salary" : { "min" : 48840.0, "max" : 68160.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-16T05:30:24.755", "fingerprint" : "43e806116660a9cfc9071221aab3483e170ea3cfe0cce81818d4e98957785c3f", "source" : "workday", "language" : "en", "applyUrl" : "https://citi.wd5.myworkdayjobs.com/2/job/Irving-Texas-United-States/Loan-Documentation-and-Processing-Associate-Analyst_26971745", "externalId" : "26971745", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "city" : "Irving", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.8295183,-96.9442177" } ], "locationText" : "Irving, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : false, "rawDescription" : "The Loan Doc & Proc Assoc Analyst is a developing professional role. This role identifies policy and applies specialty knowledge in monitoring and assessing processes and data. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Must be able to exchange information in a concise and logical way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team. **_Responsibilities:_** * This role will manage preparing and reviewing loan documentation while providing support to a variety of tasks related to the loan process. * Activities will include independently processing and closing loans within a complex loans operation environment. * Involves in providing day-to-day loan transactional processing which may include booking cash transactions and making payments, performing loan reconciliations, inputting general ledger entries and (complex) calculations * Possible interaction with other counterparties around positions and outstanding balances/claims * Supports an expansive and/or diverse array of products (risk and control) /services. * Follows established procedures to identify and resolve problems related to loan documentation/processing activities that require investigation or research. * Makes recommendations to management to support process improvement. * Resolves problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. * Designs and analyzes moderately complex loan documentation reports to satisfy management requirements, support/control activities, and the launch of products/services. * Makes evaluative judgments based on the analysis of factual information, and provides assistance in the implementation of loan documentation process improvements. * Minimizes risk to the bank through increased knowledge of procedural requirements - understands and monitors errors to suggest solutions to reduce errors, and to adhere to audit and control policies. Often related, but not limited to loan documentation processes. * Timely management and escalation of all requests and issues related to loan processing * Has direct interaction with external customers to disseminate or explain information * Demonstrates an intermediate level of understanding of products and processes, and of how duties relate/integrate with others in the team and closely related teams * Demonstrates an excellent knowledge of Bank related systems * Utilizes communication, interpersonal and diplomacy skills to interact with colleagues and stakeholders, and to exchange potentially complex/sensitive information, while being sensitive to audience diversity * Individuals at this level exhibit executional capabilities * Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. **_Qualifications:_** * 0-2 years relevant experience * Experience with Canadian Loans Servicing is a plus * Consistently demonstrates clear and concise written and verbal communication skills * Demonstrated interpersonal skills * Ability to work in a collaborative team atmosphere * Ability to perform well in a dynamic and fast paced environment * Detail-oriented * Can work well under pressure and multi-task ** _Education:_** * Bachelor’s/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. \\------------------------------------------------------ ## **Job Family Group:** Operations - Transaction Services \\------------------------------------------------------ ## **Job Family:** Loan Documentation and Processing \\------------------------------------------------------ ## **Time Type:** Full time \\------------------------------------------------------ ## **Primary Location:** Irving Texas United States \\------------------------------------------------------ ## **Primary Location Full Time Salary Range:** $48,840.00 - $68,160.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. \\------------------------------------------------------ ## **Most Relevant Skills** Please see the requirements listed above. \\------------------------------------------------------ ## **Other Relevant Skills** For complementary skills, please see above and/or contact the recruiter. \\------------------------------------------------------ ## **Anticipated Posting Close Date:** Jun 19, 2026 \\------------------------------------------------------ _Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._ __ _If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review[Accessibility at Citi](https://www.citigroup.com/citi/accessibility/application-accessibility.htm). View Citi’s [EEO Policy Statement](https://www.citigroup.com/global/eeo-aa-policy) and the [Know Your Rights](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) poster._", "summaryDescription" : "Loan Documentation and Processing Associate Analyst at Citi", "postedDate" : "2026-06-12T21:13:40.518", "createdAt" : "2026-06-14T21:13:40.492", "lastUpdated" : "2026-06-16T05:30:24.755", "ingestTimestamp" : "2026-06-14T21:13:40.492", "mongoId" : "6a2eb32774d8ee00a0e7dc9f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://citi.wd5.myworkdayjobs.com/2/job/Irving-Texas-United-States/Loan-Documentation-and-Processing-Associate-Analyst_26971745", "salaryAnnualMin" : 48840, "salaryAnnualMax" : 68160, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.95 }, { "id" : "6a164cee58b93c861ea06148", "title" : "Power Automate Expert", "company" : "Nexthire", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Power Automate Expert in Bangalore, India, adjusted for the Technology industry and full-time employment." }, "location" : "Bangalore, IN", "locations" : [ "Bangalore", "IN" ], "timestamp" : "2026-06-16T06:25:15.546", "fingerprint" : "4aff1ab2e1180f4b6ff714eda4a3656acfc561eae5bb2d9b69e870b15a7d198f", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://nexthire.breezy.hr/p/8ee613884163-power-automate-expert-tibil-solutions", "externalId" : "8ee613884163", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 4, "specialRequirements" : "Shift Timing 5:30 PM – 2:30 AM", "qualificationsBasic" : "3–4 Years experience", "qualificationsPreferred" : "Immediate Joiners Preferred (0–15 Days)", "remoteFriendly" : false, "rawDescription" : "Job Description – Power Automate Expert Position Power Automate Expert Location Bangalore Experience Required 3–4 Years Notice Period Immediate Joiners Preferred (0–15 Days) Shift Timing 5:30 PM – 2:30 AM About the Role We are looking for a skilled Power Automate Expert with hands-on experience in", "summaryDescription" : "Power Automate Expert at Nexthire", "createdAt" : "2026-06-14T18:40:57.800", "lastUpdated" : "2026-06-16T06:25:15.546", "ingestTimestamp" : "2026-06-14T18:40:57.800", "mongoId" : "6a164cee58b93c861ea06148", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.9 }, { "id" : "6a2a65ff74d8ee00a062b64e", "title" : "Applied Scientist, Edge AI", "company" : "Evi Technologies Limited", "industry" : "Machine Learning Science, Applied Science, alexa and amazon devices", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Applied Scientist in the Technology industry in Cambridge, United Kingdom, adjusted for seniority and company size." }, "location" : "Cambridge, England, GBR", "locations" : [ "Cambridge, England, GBR" ], "timestamp" : "2026-06-15T11:02:29.011", "fingerprint" : "7fd314616b867adfefe32004a517764e5a8122da6d633467c69720c530967f9d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10442934/apply", "externalId" : "465c73e0-0b56-4b75-b8da-85ceec76adcd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.1975846,0.1391537" } ], "locationText" : "Cambridge, England, United Kingdom", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health & Wellness, Amazon Echo, and Astro products. This is an exciting opportunity to bring generative AI to Amazon's consumer products, both on-device at the edge and in the cloud. Our compression platform delivers 20x to 100x neural network compression, but using it well still takes weeks of hands-on learning and expert intuition. The Edge AI Model Studio team exists to change that. We become the expert users so partner teams don't have to: we turn compression science into reliable, production workflows, and we package the results into a library of compression-ready student architectures that partners can run on their own. Our north star is simple. Training-to-deployment should feel like pushing a button, not a month-long science project. We are looking for an Applied Scientist to join Model Studio and help compress the next generation of models for edge and cloud deployment across modalities, including large language models, vision-language models, speech and audio models, and omni models that reason jointly over text, audio, and video. You will apply and extend state-of-the-art compression recipes to real models, define the benchmarks and evaluation methodology that make trade-offs explicit, and build the reference implementations that let other teams deploy compressed models without our help. You will work backwards from deployment constraints such as memory, latency, throughput, power, and cost, which differ across edge and cloud targets, partnering closely with fellow scientists, platform and compiler engineers, hardware architects, and product teams. The role sits on two frontiers at once. Compressing a model effectively and healing it back to quality means staying current not just with the latest compression techniques, but with the rapidly evolving model architectures themselves, and understanding deeply how each one works inside. You will take ownership of project-level delivery, apply advanced compression across a wide range of real models, and have room to grow your scope and technical influence. Key job responsibilities - Apply and extend compression recipes (knowledge distillation, structured pruning, and post-training and quantization-aware quantization including low-bit and mixed-precision) to assigned models, achieving 20x to 100x compression while preserving model quality. - Design and run healing recipes (fine-tuning and distillation that recover accuracy lost to compression), iterating on data mixes, objectives, and training settings until the compressed model meets its quality bar. - Track emerging model architectures and dissect how they work internally, so you can choose where to compress, anticipate where accuracy will break, and design recovery strategies grounded in the model's actual structure. - Build a library of compression-ready model entries: reference implementations, compression recipes, model cards, and benchmark results that partner teams can run self-service to produce deployment-ready artifacts for edge and cloud targets. - Define the datasets, benchmarks, and KPIs that matter for your models, and build evaluation methodology that makes accuracy, latency, memory, and cost trade-offs explicit. - Run fast feasibility gates on new model families and modalities before committing to long efforts, and pivot early when a candidate does not clear the bar. - Capture platform friction as high-signal feedback: minimal reproductions and tracked fix requests that help platform and compression-science partners root-cause issues, so partner teams never rediscover the same blockers. - Write reproducible, testable, well-documented code that meets the SDE I bar, so your recipes and results can be reproduced and built on by others. - Collaborate with Applied Scientists, platform and compiler engineers, hardware architects, and partner teams; mentor interns and help newer teammates ramp up. - Where appropriate and not precluded by business considerations, publish and present on Amazon's behalf at top ML venues such as NeurIPS, ICLR, and MLSys. A day in the life You pick up a vision-language model whose vision tower needs to fit tight memory, latency, and cost budgets for deployment. You configure a quantization-aware training run at the team's target compression ratio, then check the compressed checkpoint against a visual reasoning benchmark and find it recovers only part of the baseline accuracy. You design a healing run to close the gap, tuning the data mix and training objective to fine-tune the compressed model back toward the teacher's quality. The next checkpoint clears most of the gap but still lands short, so rather than assume the recipe is at fault, you dig into the evaluation harness and discover a benchmark filter is misaligned, deflating the score. You fix the filter, re-run, and confirm the healed model lands where the science predicts. You then package the work as a reusable model entry (recipe, model card, benchmark numbers, and a reference implementation a partner team can run on their own) and file a minimal reproduction of the harness bug so no one rediscovers it. A typical week mixes hands-on compression and evaluation with design discussions alongside fellow scientists and platform engineers. You run a fast feasibility gate on a new model family before committing to a long effort, profile a compressed model to confirm a real throughput gain, and turn a recurring friction point into a reusable pattern. You work in a small, fast-moving team where every recipe you harden compounds across future models and every partner you unblock ships faster. About the team We compress frontier models 20x to 100x and put them in the hands of millions of customers, everywhere from your pocket to the cloud: the device in your hand, the Echo on your counter, and the services behind them. The models the industry shipped last month, we are shrinking this month, across language, vision, speech, and omni. That is the job: take the best models in the world and make them small enough, fast enough, and cheap enough to run everywhere, without giving up the intelligence that makes them worth running. Edge AI Model Studio is the team that makes it real. We are the expert users of a compression platform that most of Amazon cannot yet wield, and our mission is to change that, turning weeks of expert intuition into recipes anyone can run. We are small, we move fast, and we own our work end to end: a result counts only when it ships with a recipe, benchmarks, and an artifact a partner team can run without us. Every recipe we crack compounds across every model that follows. If you want your science in real products at real scale, and you want to put the frontier of generative AI in the hands of millions of customers, come build it with us. Basic Qualifications: - Master's degree, or a PhD and experience in CS, CE, ML or related field - Experience programming in Java, C++, Python or related language - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Preferred Qualifications: - Experience with multimodal and omni models: vision-language models, audio-language or speech models, or omni architectures that jointly process text, audio, and video. - Experience with neural network compression techniques (quantization, knowledge distillation, structured pruning, low-rank factorization) for resource-constrained deployment. - Familiarity with mixed-precision training and inference (FP16, BF16, FP8, INT8, INT4) and low-bit quantization. - Experience with edge deployment, model compilation, or inference optimization, and an understanding of hardware-aware trade-offs. - Experience with large-scale ML systems, including profiling, debugging, and reasoning about system performance. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. 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SMX seeks to advance the critical missions of the United States through advanced software development, operation and maintenance of multiple 24x7 complex environments, and professional business consulting leveraging a wide variety of process methodologies and technologies. You will join a team of highly driven, supportive, and skilled professionals engaged in delivering solutions for our most critical national and local challenges. Essential Duties: • Develop and deliver comprehensive training programs for child welfare information system implementation, including Train-the-Trainer (TTT) sessions and go-live training • Create training deliverables including Training Manuals, End-User Guides and Materials using the Articulate platform • Develop and deploy LMS courseware for all training modules, including PowerPoint presentations and user guides • Revise Training Course Catalog to address customer comments through project completion • Conduct phased training delivery with accelerated TTT and parallel LMS development approach • Provide virtual training delivery support to in person training team as needed • Work cooperatively with Project Manager and UAT Coordinator in developing training objectives and ensuring alignment with project timelines • Coordinate with project functional teams and customer stakeholders on training environment access, configuration, and delivery requirements • Incorporate feedback from TTT attendees into LMS courses on a rolling basis before go-live training begins • Serve as subject matter expert for training-related technical issues and resolution Required Skills/Experience: • Bachelor's degree in instructional design, education, technical or business-related discipline, or equivalent years of experience • Practical experience in developing and delivering training programs in a State and Local or Department of Defense environment • Experience with Learning Management System (LMS) courseware development and deployment • Strong instructional design skills with ability to create training manuals, end-user guides, and learning materials • Ability to handle shifting priorities and possess excellent time management skills to meet aggressive deadlines • Strong written and verbal communication skills to interact with stakeholders and deliver effective training Desired Skills/Experience: • Experience with Train-the-Trainer delivery methodologies • Knowledge of child welfare information systems or similar government case management systems • Experience developing training materials for multiple user roles and skill levels • Familiarity with parallel development approaches and phased training delivery Application deadline: August 15, 2026 #LI-SA1 The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement. The proposed salary for this position is: $96,400—$160,600 USD At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success. We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration. SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification. SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i. e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).", "summaryDescription" : "Training Developer and Documentation Analyst at SMX. Skills: Training development, Documentation analysis, LMS courseware. Develop and deliver training programs. 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We started in the workforce space because contingent labor is the biggest operational pain point our manufacturing and logistics customers face. We used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. But our edge is more than data. By connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale. We are backed by Founders Fund, Khosla Ventures, and General Catalyst. THE ROLE We are looking for an entrepreneurial and experienced Product Manager to join as a founding member of the Agents team and help us build the next layer of Traba's product, an agentic platform that synthesizes the data flowing through our marketplace and operates autonomously inside our customers' supply chain workflows. Think Claude, but for Light Industrial businesses. You'll embed deeply in our customers' operations, design and ship production agents that understand context, reason through ambiguity, make decisions, and execute work on behalf of users. This is a true 0-to-1 product role operating at the frontier of applied AI. You will work directly with founders, product engineers, ML teams, and early design partners to define workflows, shape product strategy, and build products while the underlying model ecosystem continues changing beneath us. The assumptions, capabilities, and constraints will evolve rapidly and the product will evolve with them. This role reports directly to our VP of Product. WHAT YOU’LL DO - Architect and steward product strategy for Traba’s AI agent platform - Solve complex customer problems by balancing user needs, technical constraints, and evolving AI capabilities - Write detailed product requirements and partner deeply with product engineers and ML teams - Rapidly validate and prototype ideas alongside customers and design partners - Design agent systems that reason through workflows, orchestrate tools, maintain context, and execute meaningful work - Define product behavior, evaluation systems, and quality frameworks that improve reliability and performance - Use data to uncover patterns and answer key product and system questions - Evolve our AI product portfolio with a deep understanding of model capabilities and system architecture - Visualize and communicate complex concepts from system behavior and evaluations to user experiences and business impact - Socialize your work across all levels and departments while synthesizing diverse stakeholder feedback WHAT WE’RE LOOKING FOR Real agent builder. You have launched customer-facing AI products where the system took meaningful actions on behalf of users. We are intentionally setting a high bar here. Shipping AI features, copilots, chat interfaces, wrappers, or lightweight LLM integrations alone is not enough. You understand agents that execute workflows, orchestrate systems, use tools, maintain context, and perform work autonomously. 0-to-1 operator. You have built products from scratch with real customers and understand the realities of finding product market fit. You have launched, rebuilt, changed direction, killed ideas, and iterated toward signals. You are comfortable creating structures where no playbook exists. AI-native problem solver. You move quickly in environments where models evolve constantly and assumptions regularly break. You understand that building AI products often means navigating prompt rewrites, model shifts, reliability tradeoffs, and capability cliffs. First-principles thinker. You spend equal time thinking about why, how, and what. You understand that strong product judgment often comes from deeply understanding systems and constraints rather than applying generic playbooks. Customer-embedded builder. You believe the best products are built shoulder-to-shoulder with customers. You have experience deeply embedding with early customers, understanding workflows firsthand, and rapidly shipping based on direct feedback loops. Experience with forward deployed environments or customer-embedded product development models is highly valued. Technical depth. You are comfortable operating alongside ML engineers and highly technical teams as peers. You can understand evaluations, reason through system tradeoffs, prototype ideas, and participate deeply in technical conversations. You do not need to be an ex-engineer, but you should have strong technical instincts and enjoy getting into the details. Builder mentality. Inventive and scrappy problem solver. You move quickly, embrace ambiguity, and know how to create meaningful outcomes without relying on giant teams or excessive process. Deeply collaborative. You work seamlessly across engineering, ML, operations, design, leadership, and customers to bring new products to life. WHAT YOU’LL BRING - 5 – 7 years of experience as a Product Manager - Evidence of launching products from scratch and driving meaningful customer outcomes - Experience building AI-native products or customer-facing agent systems - Strong technical abilities with the ability to work deeply with engineering and ML teams - Ability to read evaluations, reason through system performance, and prototype ideas - Experience operating in highly ambiguous startup environments with fast iteration cycles - Deep familiarity with AI tools and hands-on experience building with modern AI systems - Desire to work at a startup and cover an exceptionally wide surface area - A strong work ethic and desire to build a category-defining company BENEFITS - \uD83D\uDCC8 Start-up equity - \uD83D\uDCB0 Competitive Salary - \uD83E\uDE7A 100% Paid health, dental & vision coverage - \uD83C\uDF7D️ Dinner Provided via Grubhub & stocked kitchen for NY employees - \uD83D\uDE8D Commuter benefit - \uD83C\uDFA4 Team building events - \uD83C\uDFCB\uD83C\uDFFD Gympass Benefit - \uD83C\uDF34 Flexible PTO - ✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, Health Advocate, Teledoc Health SALARY RANGE DETAILS The compensation range for this position is set between $180,000 and $210,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description.We also offer a highly competitive equity package designed to ensure you share meaningfully in the long-term success and upside of the business. The position is based onsite in New York City or San Francisco, five days per week, giving you the opportunity to collaborate closely with a high-performing team in a fast-paced, energetic environment. Being in person supports real-time decision-making, stronger teamwork, and the kind of creative problem-solving that drives meaningful impact. EQUAL OPPORTUNITY EMPLOYER Traba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets. OUR VALUES Dream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don’t sacrifice long-term value for short-term results. Olympian’s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field. Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience. Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries’ problems WHAT IS LIGHT INDUSTRIAL LABOR? Light industrial flexible staffing is a $50B labor market that encompasses entry-level jobs in warehouses & distribution centers. These workers pack boxes, load trucks, and manage warehouse operations to keep supply chains running at peak efficiency. Privacy Notice for CA Applicants https://traba.work/privacy-notice-ca-applicants", "summaryDescription" : "Senior Product Manager (AI Agents) at Traba. Develop product strategy. Define product roadmap", "createdAt" : "2026-06-16T00:27:03.833", "lastUpdated" : "2026-06-16T09:22:35.211", "ingestTimestamp" : "2026-06-16T00:27:03.833", "mongoId" : "6a3055d9f292fd229cf223c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Roadmap planning" ], "skillCount" : 1, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3055d9f292fd229cf223c5", "title" : "Staff Product Manager (AI Agents)", "company" : "Traba", "industry" : "EPD", "salary" : { "min" : 210000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York City, NY", "locations" : [ "New York City, NY", "San Francisco" ], "timestamp" : "2026-06-16T12:08:32.880", "fingerprint" : "f1b1124f8d499e113e657ed7969bbbe049196ca0c400349a2cfd823b27f4549e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/traba/c2cb9715-573b-4519-b210-6176165db638/application", "externalId" : "c2cb9715-573b-4519-b210-6176165db638", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York City", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "New York City, New York, United States; San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Define product strategy, Develop product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning" ], "rawDescription" : "ABOUT TRABA Traba is building the AI operating layer for the industrial supply chain. We started in the workforce space because contingent labor is the biggest operational pain point our manufacturing and logistics customers face. We used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. But our edge is more than data. By connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale. We are backed by Founders Fund, Khosla Ventures, and General Catalyst. THE ROLE We are looking for an entrepreneurial and experienced Product Manager to join as a founding member of the Agents team and help us build the next layer of Traba's product, an agentic platform that synthesizes the data flowing through our marketplace and operates autonomously inside our customers' supply chain workflows. Think Claude, but for Light Industrial businesses. You'll embed deeply in our customers' operations, design and ship production agents that understand context, reason through ambiguity, make decisions, and execute work on behalf of users. This is a true 0-to-1 product role operating at the frontier of applied AI. You will work directly with founders, product engineers, ML teams, and early design partners to define workflows, shape product strategy, and build products while the underlying model ecosystem continues changing beneath us. The assumptions, capabilities, and constraints will evolve rapidly and the product will evolve with them. This role reports directly to our VP of Product. WHAT YOU’LL DO - Architect and steward product strategy for Traba’s AI agent platform - Solve complex customer problems by balancing user needs, technical constraints, and evolving AI capabilities - Write detailed product requirements and partner deeply with product engineers and ML teams - Rapidly validate and prototype ideas alongside customers and design partners - Design agent systems that reason through workflows, orchestrate tools, maintain context, and execute meaningful work - Define product behavior, evaluation systems, and quality frameworks that improve reliability and performance - Use data to uncover patterns and answer key product and system questions - Evolve our AI product portfolio with a deep understanding of model capabilities and system architecture - Visualize and communicate complex concepts from system behavior and evaluations to user experiences and business impact - Socialize your work across all levels and departments while synthesizing diverse stakeholder feedback WHAT WE’RE LOOKING FOR Real agent builder. You have launched customer-facing AI products where the system took meaningful actions on behalf of users. We are intentionally setting a high bar here. Shipping AI features, copilots, chat interfaces, wrappers, or lightweight LLM integrations alone is not enough. You understand agents that execute workflows, orchestrate systems, use tools, maintain context, and perform work autonomously. 0-to-1 operator. You have built products from scratch with real customers and understand the realities of finding product market fit. You have launched, rebuilt, changed direction, killed ideas, and iterated toward signals. You are comfortable creating structures where no playbook exists. AI-native problem solver. You move quickly in environments where models evolve constantly and assumptions regularly break. You understand that building AI products often means navigating prompt rewrites, model shifts, reliability tradeoffs, and capability cliffs. First-principles thinker. You spend equal time thinking about why, how, and what. You understand that strong product judgment often comes from deeply understanding systems and constraints rather than applying generic playbooks. Customer-embedded builder. You believe the best products are built shoulder-to-shoulder with customers. You have experience deeply embedding with early customers, understanding workflows firsthand, and rapidly shipping based on direct feedback loops. Experience with forward deployed environments or customer-embedded product development models is highly valued. Technical depth. You are comfortable operating alongside ML engineers and highly technical teams as peers. You can understand evaluations, reason through system tradeoffs, prototype ideas, and participate deeply in technical conversations. You do not need to be an ex-engineer, but you should have strong technical instincts and enjoy getting into the details. Builder mentality. Inventive and scrappy problem solver. You move quickly, embrace ambiguity, and know how to create meaningful outcomes without relying on giant teams or excessive process. Deeply collaborative. You work seamlessly across engineering, ML, operations, design, leadership, and customers to bring new products to life. WHAT YOU’LL BRING - 7 – 10 years of experience as a Product Manager - Evidence of launching products from scratch and driving meaningful customer outcomes - Experience building AI-native products or customer-facing agent systems - Strong technical abilities with the ability to work deeply with engineering and ML teams - Ability to read evaluations, reason through system performance, and prototype ideas - Experience operating in highly ambiguous startup environments with fast iteration cycles - Deep familiarity with AI tools and hands-on experience building with modern AI systems - Desire to work at a startup and cover an exceptionally wide surface area - A strong work ethic and desire to build a category-defining company BENEFITS - \uD83D\uDCC8 Start-up equity - \uD83D\uDCB0 Competitive Salary - \uD83E\uDE7A 100% Paid health, dental & vision coverage - \uD83C\uDF7D️ Dinner Provided via Grubhub & stocked kitchen for NY employees - \uD83D\uDE8D Commuter benefit - \uD83C\uDFA4 Team building events - \uD83C\uDFCB\uD83C\uDFFD Gympass Benefit - \uD83C\uDF34 Flexible PTO - ✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, Health Advocate, Teledoc Health SALARY RANGE DETAILS The compensation range for this position is set between $180,000 and $210,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description.We also offer a highly competitive equity package designed to ensure you share meaningfully in the long-term success and upside of the business. The position is based onsite in New York City or San Francisco, five days per week, giving you the opportunity to collaborate closely with a high-performing team in a fast-paced, energetic environment. Being in person supports real-time decision-making, stronger teamwork, and the kind of creative problem-solving that drives meaningful impact. EQUAL OPPORTUNITY EMPLOYER Traba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets. OUR VALUES Dream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don’t sacrifice long-term value for short-term results. Olympian’s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field. Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience. Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries’ problems WHAT IS LIGHT INDUSTRIAL LABOR? Light industrial flexible staffing is a $50B labor market that encompasses entry-level jobs in warehouses & distribution centers. These workers pack boxes, load trucks, and manage warehouse operations to keep supply chains running at peak efficiency. Privacy Notice for CA Applicants https://traba.work/privacy-notice-ca-applicants", "summaryDescription" : "Staff Product Manager (AI Agents) at Traba. Define product strategy. Develop product roadmap", "createdAt" : "2026-06-16T00:26:38.658", "lastUpdated" : "2026-06-16T12:08:32.880", "ingestTimestamp" : "2026-06-16T00:26:38.658", "mongoId" : "6a3055d9f292fd229cf223c5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 210000, "salaryAnnualMax" : 250000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Roadmap planning" ], "skillCount" : 1, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3055d9f292fd229cf223ca", "title" : "Senior Software Engineer (AI Agents)", "company" : "Traba", "industry" : "EPD", "salary" : { "min" : 200000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York City, NY", "locations" : [ "New York City, NY", "San Francisco" ], "timestamp" : "2026-06-16T12:17:40.412", "fingerprint" : "14c9778e1c17a86a6b8a17cb0ac7eef84675f6fba83bc3e86583674da2ce36da", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/traba/439d5f03-129a-40be-82fc-a23141ca3bf5/application", "externalId" : "439d5f03-129a-40be-82fc-a23141ca3bf5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York City", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York City, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "rawDescription" : "Traba is the AI operating layer for the industrial supply chain. We started in workforce—temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve—and used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. But our edge is more than data: by connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale. We are backed by Founders Fund, Khosla Ventures, and General Catalyst. We are seeking an entrepreneurial Senior Applied Agent Engineer to join as a founding member of the Agents team and help us build the next layer of Traba's product—an agentic platform that synthesizes the data flowing through our marketplace and operates autonomously inside our customers' supply chain workflows. You'll embed deeply in our customers' operations, design and ship production agent harnesses on top of frontier models, and turn what you learn in the field into durable product. You will partner closely with our CTO, product, and our operators to take 0-to-1 ideas to scaled deployments. ABOUT YOU - Builder with an AI operator's instinct. You've shipped real product on top of LLMs—not just chat wrappers. You've designed agent harnesses, structured tools, written evals, and tuned prompts against production traces. You think in terms of capability, reliability, and unit economics, not just “does the model say the right thing.” - Domain-immersed. You enjoy spending time with the people who actually do the work. You learn an industry's vocabulary, edge cases, and operational tempo, and let that knowledge shape what you build. Bonus points if you've done this for a vertical AI or AI-agent company before (e.g., Nash, HappyRobot, Augment, Pallet, Harvey, Legora, ElevenLabs). - High-agency in ambiguity. You're comfortable being dropped into a fuzzy problem with a customer, a half-formed hypothesis, and a deadline. You scope, build, evaluate, and ship without waiting for someone to hand you the spec. - Sweat both ends of the stack. You can move between prompt iteration, eval design, backend services, data modeling, and the customer-facing UI in the same week. You care about the small details—evals that actually catch regressions, prompts that fail gracefully, traces that are easy to debug. YOU WILL - Embed with our customers and operators to deeply understand how supply chains run today—then design and ship agents that take meaningful work off their plate. - Build production agent systems on top of frontier LLMs: tool use, sub-agents, retrieval, structured outputs, MCP servers, and the orchestration layer that ties them together. - Own evaluation as a first-class discipline. Build datasets from real traces, write rubrics and graders, run experiments, and ship improvements that you can prove move the needle. - Architect and build the data, services, and APIs the agent layer depends on—integrating with our internal systems and our customers' WMS, TMS, and ERP environments. - Codify repeatable deployment patterns so each new customer rollout is faster and more reliable than the last. - Be a key player on a scrappy founding team—contributing to product direction, hiring, and the engineering culture as we grow. YOU HAVE - 5+ years of professional software engineering experience, with at least 1+ year shipping LLM- or agent-based features into production. - Strong proficiency in Python and/or TypeScript/Node.js, and comfort designing APIs, distributed systems, and data models in PostgreSQL. - Hands-on experience with the modern agent stack: prompt engineering at production scale, evaluation frameworks (e.g., Langfuse, Braintrust, internal harnesses), agent orchestration patterns, and frontier model APIs (Anthropic, OpenAI, etc.). - A track record of building and shipping in fast, ambiguous environments—ideally at an early-stage vertical AI, AI-agent, FDE-style (Palantir, Scale), or data-product company (Hex, Omni, dbt). - Excellent written and verbal communication—you can run a customer workshop in the morning and write a clean design doc in the afternoon. - A genuine excitement about industrial operations and the chance to use applied AI to make them dramatically better. BENEFITS - \uD83D\uDCC8 Start-up equity - \uD83D\uDCB0 Competitive Salary - \uD83E\uDE7A 100% Paid health, dental & vision coverage - \uD83C\uDF7D️ Dinner Provided via DoorDash, free DashPass & stocked kitchen for NY employees - \uD83D\uDE8D Commuter benefit - \uD83C\uDFCB\uD83C\uDFFD Gympass Benefit - ✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health SALARY RANGE DETAILS The compensation range for this position is set between $200,000 and $240,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description. EQUAL OPPORTUNITY EMPLOYER Traba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets. OUR VALUES Dream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don’t sacrifice long-term value for short-term results. Olympian’s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field. Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience. Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries’ problems WHAT IS LIGHT INDUSTRIAL LABOR? Light industrial flexible staffing is a $50B labor market that encompasses entry-level jobs in warehouses & distribution centers. These workers pack boxes, load trucks, and manage warehouse operations to keep supply chains running at peak efficiency. Job Applicant Privacy Notice https://traba.work/privacy-notice-applicants", "summaryDescription" : "Senior Software Engineer (AI Agents) at Traba", "createdAt" : "2026-06-16T00:26:19.343", "lastUpdated" : "2026-06-16T12:17:40.412", "ingestTimestamp" : "2026-06-16T00:26:19.343", "mongoId" : "6a3055d9f292fd229cf223ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 240000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3055d9f292fd229cf223cb", "title" : "Staff Software Engineer (AI Agents)", "company" : "Traba", "industry" : "EPD", "salary" : { "min" : 240000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York City, NY", "locations" : [ "New York City, NY", "San Francisco" ], "timestamp" : "2026-06-16T12:09:20.778", "fingerprint" : "5655fd5027e3b9f356ce06bf3297205ef49b51c83d04d7366900017b1fc49688", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/traba/d135ea08-ce5f-4e9d-a0b8-43486fa3775e/application", "externalId" : "d135ea08-ce5f-4e9d-a0b8-43486fa3775e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York City", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York City, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "rawDescription" : "Traba is the AI operating layer for the industrial supply chain. We started in workforce—temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve—and used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. But our edge is more than data: by connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale. We are backed by Founders Fund, Khosla Ventures, and General Catalyst. We are seeking an entrepreneurial Staff Applied Agent Engineer to join as a founding member of the Agents team and lead the development of Traba's agentic platform—the layer that synthesizes the data flowing through our marketplace, talks to our customers' operational systems, and acts autonomously inside the workflows that run their facilities. You'll partner with our CTO to make the core architectural calls on how agents are built, evaluated, and deployed at Traba; set the bar for quality and reliability; and bring the outside perspective on agent-building, FDE-style customer immersion, and data-product craft that this 0-to-1 product needs. ABOUT YOU - You've already built agents that survived contact with reality. You've shipped agent systems into production at meaningful scale—designed the harness, picked the orchestration patterns, owned the evals, and lived with the on-call. You have strong opinions on where to draw the line between prompting, fine-tuning, retrieval, and code, and why. - Domain depth meets technical breadth. You're as comfortable in a warehouse on a customer site as you are in a design doc. You learn an industry's actual operations—WMS quirks, shift cadence, exception handling—and let that knowledge shape architecture decisions. Ideal: prior experience at a vertical AI or AI-agent company (Nash, HappyRobot, Augment, Pallet, Harvey, Legora, ElevenLabs), Palantir/Scale-style FDE, or an AI-native data company (Hex, Omni, dbt). - Set direction by shipping. You raise the engineering bar by writing the canonical example, not just the doc. You pick the foundational tools, integrate the right model providers, design the eval infrastructure—and you bring others along. - Sweat the small stuff at staff scale. You have strong opinions on design patterns, eval datasets, prompt versioning, observability for agents, and the difference between a clean abstraction and an over-engineered one. You understand that how we do one thing is how we do everything. YOU WILL - Architect Traba's agent platform end-to-end—the orchestration runtime, the eval and observability stack, the integration layer to internal services and customer systems (WMS/TMS/ERP), and the patterns that every agent we ship is built on. - Own the foundational technical decisions for this part of the business: model strategy, agent harness design, retrieval and memory architecture, tool/MCP surface, and how we measure quality. - Spend real time in the field with customers and operators. Translate what you see into durable product and codify repeatable deployment patterns so each rollout compounds on the last. - Build evaluation as a real engineering discipline—datasets, graders, regression suites, experimentation tooling—so we ship agent improvements with the same confidence we'd ship backend code. - Hire and mentor the engineers who will build alongside you. Set the technical standards that define what “good” looks like for applied AI at Traba. - Partner with the CTO, product, and ops leadership on the multi-year platform roadmap. Think ahead to what the company and the agent layer will need a year or two from now, and start building it today. YOU HAVE - 7+ years of professional software engineering experience, with 2+ years of hands-on production work on LLM- or agent-based systems. - Deep proficiency in Python and/or TypeScript/Node.js, and a strong track record designing distributed systems, APIs, and data models on PostgreSQL and modern messaging (Kafka, RabbitMQ, or equivalent). - Demonstrated ownership of a non-trivial production agent system: orchestration, tool use, retrieval, evals, observability, cost/latency tuning, and the operational lessons that come with all of it. - Background that maps to at least one of: vertical AI / AI-agent company, Palantir/Scale-style FDE, or an AI-native data company (Hex, Omni, dbt). Bonus for supply chain, logistics, or industrial operations exposure. - A history of leading 0-to-1 product builds in early-stage environments—comfortable with ambiguity, pragmatic about tradeoffs, and high-agency by default. - Strong written and verbal communication. You can run a customer workshop, write the design doc, and recruit your future teammates—often in the same week. - A genuine excitement about industrial operations and the chance to use applied AI to make them dramatically better. BENEFITS - \uD83D\uDCC8 Start-up equity - \uD83D\uDCB0 Competitive Salary - \uD83E\uDE7A 100% Paid health, dental & vision coverage - \uD83C\uDF7D️ Dinner Provided via DoorDash, free DashPass & stocked kitchen for NY employees - \uD83D\uDE8D Commuter benefit - \uD83C\uDFCB\uD83C\uDFFD Gympass Benefit - ✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health SALARY RANGE DETAILS The compensation range for this position is set between $240,000 and $300,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description. EQUAL OPPORTUNITY EMPLOYER Traba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets. OUR VALUES Dream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don’t sacrifice long-term value for short-term results. Olympian’s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field. Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience. Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries’ problems WHAT IS LIGHT INDUSTRIAL LABOR? Light industrial flexible staffing is a $50B labor market that encompasses entry-level jobs in warehouses & distribution centers. These workers pack boxes, load trucks, and manage warehouse operations to keep supply chains running at peak efficiency. Job Applicant Privacy Notice https://traba.work/privacy-notice-applicants", "summaryDescription" : "Staff Software Engineer (AI Agents) at Traba", "createdAt" : "2026-06-16T00:25:10.233", "lastUpdated" : "2026-06-16T12:09:20.778", "ingestTimestamp" : "2026-06-16T00:25:10.233", "mongoId" : "6a3055d9f292fd229cf223cb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 240000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69d5e4952beec4dd3d931808", "title" : "Sr. Product Manager, Lifecycle, Marketing and Prime", "company" : "Servicios Comerciales Amazon Mexico S. de R.L. de C.V.", "industry" : "Project/Program/Product Management--Non-Tech, Product Management, Retail", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-commerce in Mexico City, adjusted for Senior Product Manager role and full-time employment." }, "location" : "Mexico City, Mexico City, MEX", "locations" : [ "Mexico City, Mexico City, MEX" ], "timestamp" : "2026-06-15T00:54:03.647", "fingerprint" : "55fca18a5426fb669321ae1661bbe9f8a2d60abcacc9df9b62df6236f83d24cd", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385647/apply", "externalId" : "117775ec-d1d2-4540-bb7e-14691c5f0024", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mexico City", "state" : "Mexico City", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "19.4326296,-99.1331785" } ], "locationText" : "Mexico City, Mexico City, Mexico", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Customer behavior analysis", "Customer engagement", "Scalable experimentation", "Marketing strategy", "Marketing investment" ], "hardSkillsList" : [ "Segmentation models", "Lifecycle offers", "Customer-facing experiments", "Cross-channel initiatives", "Repeat purchasing" ], "softSkillsList" : [ "Entrepreneurial spirit", "Influence others", "Cross-functional leadership" ], "hardSkills" : [ { "name" : "Segmentation models", "level" : "intermediate" }, { "name" : "Lifecycle offers", "level" : "intermediate" }, { "name" : "Customer-facing experiments", "level" : "intermediate" }, { "name" : "Cross-channel initiatives", "level" : "intermediate" }, { "name" : "Repeat purchasing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Entrepreneurial spirit" }, { "name" : "Influence others" }, { "name" : "Cross-functional leadership" } ], "majorSkills" : "Product strategy, Roadmap development, User stories, Cross-functional collaboration", "majorSkillsList" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration" ], "coreResponsibilities" : "Own experimental testing design, Inform future campaigns, Develop segmentation models, Retarget key segments, Drive onsite improvements, Drive customer-facing experiments, Coordinate with project managers, Coordinate with web developers, Coordinate with buyers, Coordinate with designers, Coordinate with merchandisers, Partner to iterate and test, Drive lifecycle progression, Partner to drive automation, Identify best practices, Manage local implementation, Ownership of planning, Ownership of designing, Ownership of executing cross-channel initiatives, Drive adoption of new shopping behaviors, Lead to repeat purchasing, Document best practices, Serve as a model", "teamCollaboration" : "Work closely with central teams; Work closely with marketplaces; Collaborate with internal teams; Collaborate with international teams; Collaborate with consumer marketing; Collaborate with category teams; Collaborate with peers", "projectManagementSkills" : [ "Program management", "Project management" ], "domainKnowledge" : "E-commerce; Customer lifecycle; Marketing analytics", "domainList" : [ "e-commerce", "customer-lifecycle", "marketing-analytics" ], "domainSpecificKnowledge" : [ "E-commerce", "Customer lifecycle", "Marketing analytics" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Document best practices", "continuousLearning" : "Annual learning experiences; Ongoing learning experiences; Knowledge sharing; Mentorship", "innovationCreativity" : "Experimenting; Launching new products; Launching new programs", "problemSolvingSkills" : "Diving deep; Consultative approach", "specialRequirements" : "Written and verbal Spanish", "outcomesObjectives" : "Improve engagement; Drive customer engagement; Improve results continuously; Drive adoption; Lead to repeat purchasing", "qualificationsBasic" : "5+ years product management, 5+ years program management, 5+ years product marketing, 5+ years business development, 5+ years technology experience, 7+ YOE stakeholder management, Fluency in English", "qualificationsPreferred" : "Experience influencing senior leadership, Experience working across functional teams, Experience working with senior stakeholders, Experience managing multiple competing priorities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The MX Lifecycle Senior Product Manager studies customer behavior to uncover insights aiming to improve engagement. The Sr. PM will work closely with central teams and other marketplaces to drive customer engagement by (1) experimenting to identify new scalable solutions; (2) launching new products or programs in MX; (3) influencing marketing strategies based on their deep understanding of the customer; and (4) guiding marketing investment strategies. • The successful candidate will be a self-starter, with strong attention to detail, capable of diving deep and able to work in a fast-paced and ever-changing environment. She/he will take a consultative approach to help internal customers achieve their goals. • This person must have strong written and verbal communications skills in both Spanish and English, as well as an entrepreneurial spirit, the ability to influence others and strong cross-functional leadership. He or she will be known for rigorous testing, measurement, and iteration to improve results continuously. • This Product Manager will collaborate closely with internal (consumer marketing and category teams) and international teams (central teams and peers across the world). Key job responsibilities Own the experimental testing design to uncover key insights and inform future campaigns. Develop segmentation models for retargeting key segments with experimental Lifecycle offers and messaging. Drive onsite improvements and customer-facing experiments to completion by coordinating with project managers, web developers, buyers, designers, and other merchandisers. Partner with program owners throughout Amazon, to iterate and test different ways in to drive lifecycle progression. Partner with technical and business teams to drive automation. Partner with global teams to identify best practices, processes and systems required to deliver desired programs in MX and then manage their local implementation. Ownership of planning, designing and executing cross-channel product marketing initiatives that drive adoption of new shopping behaviors and lead to repeat purchasing. Document best practices in execution and reporting that will serve as a model for partner teams. About the team Inclusive team culture At Amazon we embrace our differences and we are committed to furthering our culture of inclusion. We host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work Life Balance We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional. Basic Qualifications: - 5+ years of product or program management, product marketing, business development or technology experience - Bachelor's degree - +7 YOE of stakeholder management - Fluency in English, written and spoken Preferred Qualifications: - Experience in influencing senior leadership through data driven insights - Experience working across functional teams and senior stakeholders - Experience in managing multiple, competing priorities simultaneously Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Sr. Product Manager, Lifecycle, Marketing and Prime at Servicios Comerciales Amazon Mexico S. de R.L. de C.V.. Skills: Product strategy, Roadmap development, User stories, Cross-functional collaboration. Own experimental testing design. Inform future campaigns", "postedDate" : "2026-06-13T09:23:56.070", "createdAt" : "2026-06-13T09:23:56.070", "lastUpdated" : "2026-06-15T00:54:03.647", "ingestTimestamp" : "2026-06-13T09:23:56.070", "mongoId" : "69d5e4952beec4dd3d931808", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385647/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Segmentation models", "Lifecycle offers", "Customer-facing experiments", "Cross-channel initiatives", "Repeat purchasing", "Entrepreneurial spirit", "Influence others", "Cross-functional leadership", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Customer behavior analysis", "Customer engagement", "Scalable experimentation", "Marketing strategy", "Marketing investment", "Program management", "Project management", "E-commerce", "Customer lifecycle", "Marketing analytics" ], "skillCount" : 22, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c692274d8ee00a09062af", "title" : "Applied AI Engineer, Sarvam Agents", "company" : "Sarvam", "industry" : "Engineering", "salary" : { "min" : 2000000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Applied AI Engineer in Bengaluru, India, adjusted for mid-seniority and the technology industry." }, "location" : "Bengaluru", "locations" : [ "Bengaluru" ], "timestamp" : "2026-06-15T03:27:08.520", "fingerprint" : "ac9ccc77e7154f11cd97da4d9830b988daf9b60ea0c20aa2fb81dd74f225d077", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/sarvam/30259734-50c3-4f1c-81cd-8bff07e585e7/application", "externalId" : "30259734-50c3-4f1c-81cd-8bff07e585e7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, LLM APIs, LangGraph, ADK, RAG, Vector databases, PostgreSQL, MySQL, Redis", "professionalSkills" : [ "Prompt design", "Structured outputs", "Function calling", "Memory engineering", "Context engineering", "Tool definition", "Schema design", "Error messaging", "Retry semantics", "Streaming engineering", "Cost engineering", "Latency engineering", "Observability", "Integration testing", "Prompt iteration", "Versioning", "A/B testing", "Rollback" ], "hardSkillsList" : [ "Backend development", "Agent development", "API integration", "OAuth flows", "RAG patterns", "Cost optimization", "Latency optimization", "Observability", "Integration testing" ], "hardSkills" : [ { "name" : "Backend development", "level" : "intermediate" }, { "name" : "Agent development", "level" : "intermediate" }, { "name" : "API integration", "level" : "intermediate" }, { "name" : "OAuth flows", "level" : "intermediate" }, { "name" : "RAG patterns", "level" : "intermediate" }, { "name" : "Cost optimization", "level" : "intermediate" }, { "name" : "Latency optimization", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Integration testing", "level" : "intermediate" } ], "majorSkills" : "Applied AI, Agent development, Production systems, LLM APIs", "majorSkillsList" : [ "Applied AI", "Agent development", "Production systems", "LLM APIs" ], "coreResponsibilities" : "Build agents end-to-end, Design agent flows, Define agent tools, Implement agent memory, Evaluate agent performance, Deploy agents, Own agent reliability, Debug agent failures, Design agent guardrails, Run incident response, Manage agent state, Implement scheduled triggers, Execute long-running agents, Build connector framework, Integrate SaaS APIs, Build MCP server infrastructure, Engineer memory and context, Implement multi-tenancy, Manage agent permissions, Implement audit trails, Build admin surfaces, Develop eval infrastructure, Design tool schemas, Define tool error messages, Implement tool idempotency, Define tool retry semantics, Engineer streaming traffic, Engineer live agent cost, Engineer live agent latency, Implement observability, Perform integration testing, Manage prompt iteration, Implement prompt versioning, Run prompt A/B testing, Implement safe rollback", "domainKnowledge" : "Sovereign AI; AI platform; Agent runtime; Third-party SaaS APIs; MCP server; Memory and context; Multi-tenancy; LLM workloads; OAuth flows", "domainList" : [ "sovereign-ai", "ai-platform", "agent-runtime", "third-party-saas-apis", "mcp-server", "memory-and-context", "multi-tenancy", "llm-workloads", "oauth-flows" ], "domainSpecificKnowledge" : [ "Sovereign AI", "AI platform", "Agent runtime", "Third-party SaaS APIs", "MCP server", "Memory and context", "Multi-tenancy", "LLM workloads", "OAuth flows" ], "toolProficiency" : [ "LangGraph", "ADK", "Signoz", "Datadog", "PostgreSQL", "MySQL", "Redis", "LangSmith", "Braintrust" ], "problemSolvingSkills" : "Debugging; Troubleshooting; Root cause analysis", "qualificationsBasic" : "2+ years backend development, LLM API fluency, Agentic framework experience, Production MCP servers, Shipped AI features, RAG patterns, Building and running evals, Cost and latency optimization, Observability fluency, Integrating third-party APIs, PostgreSQL or MySQL, OAuth flows", "qualificationsPreferred" : "Open-source contributions, Eval frameworks familiarity, Human-in-the-loop design, Startup experience", "rawDescription" : "About Sarvam Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC. About the Role Sarvam Agents bring AI into the way teams actually work. They plug into the tools and workflows of an organization (email, docs, calendars, internal systems, the long tail of SaaS), take multi-step action on a user's behalf, run on a schedule when no one is watching, and get better as the team uses them. Shared across the org, scoped by the right permissions, observable by admins. This is what agents look like when they have to actually work. We're hiring an Applied AI Engineer to build these agents and own them in production. You'll design the flows, wire up the tools, ship the harness, and be on the hook when something breaks. What You’ll Do - Build agents end-to-end: flow design, prompting, tool definitions, memory, evaluation, deployment - Own agent reliability in production: debugging real failures, designing guardrails, running incident response when things break - The agent runtime: state management, retries, scheduled triggers, long-running execution that keeps moving when no one is watching - Connector and integration framework: OAuth, third-party SaaS APIs, the plumbing that lets agents reach into real workplaces - MCP server infrastructure at scale: the tool layer agents reach for - Memory and context engineering: knowing when to use working memory vs. long-term memory vs. retrieval, and building the systems that make it work (Honcho and friends) - Multi-tenancy and sharing: agents that live inside organizations, with the right permissions, audit trails, and admin surfaces - Evals: the test infrastructure that tells us whether a change made the agent better or worse, before it touches a user - Tool design discipline: schemas, error messages, idempotency, retry semantics. Tools your agents actually use well. - Streaming, cost, and latency engineering for live agent traffic - Observability and integration testing for agent runs - Prompt iteration workflows: versioning, A/B testing, safe rollback What We’re Looking For - 3 to 5 years of total experience, with 2+ years of strong backend development experience in Python - LLM API fluency: prompt design, structured outputs, function calling, working with major model APIs at production quality - Agentic framework experience: LangGraph, ADK, or equivalent - Production experience running MCP servers at scale - Shipped AI features to real users in production, not just notebooks or prototypes - RAG patterns: chunking, embeddings, hybrid search, reranking, vector databases - Building and running evals for AI systems - Cost and latency optimization for LLM workloads - Observability fluency: Signoz, Datadog, or any equivalent stack - Experience integrating with third-party SaaS APIs and OAuth flows - PostgreSQL or MySQl, Redis Bonus Points - Open-source contributions in the agent / LLM / harness ecosystem - Familiarity with eval frameworks (LangSmith, Braintrust, and similar) - Experience with human-in-the-loop / approval flow design for AI systems - Time at an early- or growth-stage startup: comfort with ambiguity, speed, and ownership Why Sarvam? Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact. - Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar - High ownership and high impact, from day one - Everything we do is AI-first, from the way we build and ship to the way we think about problems - You can work on problems that could change how an entire country learns, works, and communicates If you want to work on problems at the frontier of AI in India, Sarvam is the place to be. ", "summaryDescription" : "Applied AI Engineer, Sarvam Agents at Sarvam. Skills: Applied AI, Agent development, Production systems, LLM APIs. Build agents end-to-end. Design agent flows", "createdAt" : "2026-06-13T23:24:22.877", "lastUpdated" : "2026-06-15T03:27:08.520", "ingestTimestamp" : "2026-06-13T23:24:22.877", "mongoId" : "6a2c692274d8ee00a09062af", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Backend development", "Agent development", "API integration", "OAuth flows", "RAG patterns", "Cost optimization", "Latency optimization", "Observability", "Integration testing", "Applied AI", "Production systems", "LLM APIs", "Prompt design", "Structured outputs", "Function calling", "Memory engineering", "Context engineering", "Tool definition", "Schema design", "Error messaging", "Retry semantics", "Streaming engineering", "Cost engineering", "Latency engineering", "Prompt iteration", "Versioning", "A/B testing", "Rollback", "Sovereign AI", "AI platform", "Agent runtime", "Third-party SaaS APIs", "MCP server", "Memory and context", "Multi-tenancy", "LLM workloads", "LangGraph", "ADK", "Signoz", "Datadog", "PostgreSQL", "MySQL", "Redis", "LangSmith", "Braintrust" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69ec72e84c40e2acd1d0b686", "title" : "Assistant to the Director", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 48000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-seniority Assistant to the Director in Austin, TX, with adjustments for government industry and company size." }, "location" : "826937", "locations" : [ "826937", "
Austin:4800 N Lamar-Criss Cole (320TX-2926)
4800 N Lamar Blvd Ste 330
Criss Cole
Austin, 78756

" ], "timestamp" : "2026-06-15T07:44:31.351", "fingerprint" : "dc229b249722700e94a8efe1ef879a4748aa020926bb9ebc7f24dfb5cfad3db8", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34610", "externalId" : "34610", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "professionalSkills" : [ "Staff services", "Program support", "Budget management", "Data analysis", "Financial reporting" ], "hardSkillsList" : [ "Document processing", "Statistical analysis", "Financial analysis" ], "hardSkills" : [ { "name" : "Document processing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Financial analysis", "level" : "intermediate" } ], "majorSkills" : "Staff services, Program support, Budget management", "majorSkillsList" : [ "Staff services", "Program support", "Budget management" ], "coreResponsibilities" : "Support Director of CCRC, Plan staff services functions, Direct staff services functions, Coordinate staff services functions, Manage complex communications, Manage document processing, Analyze practices and procedures, Develop practices and procedures, Recommend practices and procedures, Coordinate special projects, Direct special projects, Assist in regional program operational expense budget issues, Research program data, Query program data, Report program data, Serve as regional expert, Prepare financial correspondence, Prepare administrative correspondence, Analyze program statistical information, Report program statistical information, Prepare statistical summaries, Prepare charts, Prepare graphs, Consult with Director on progress, Consult with Director on development, Consult with Director on evaluation, Perform related work", "projectManagementSkills" : [ "Project coordination" ], "domainKnowledge" : "Workforce system; Program operations", "domainList" : [ "workforce-system", "program-operations" ], "domainSpecificKnowledge" : [ "Workforce system", "Program operations" ], "toolProficiency" : [ "Agency administrative system" ], "communicationSkills" : "Financial correspondence; Administrative correspondence", "problemSolvingSkills" : "Independent judgment", "specialRequirements" : "Regional travel, Statewide travel, Variable work hours, Carry/lift 10 pounds", "qualificationsBasic" : "1 year 6 months experience in business management, 1 year 6 months experience in human resource administration, 1 year 6 months experience in budget preparation, 1 year 6 months experience in budget control, 1 year 6 months experience in staff services function", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: The mission of the Texas Workforce Commission (TWC) is to promote and support a workforce system that creates value and offers employers, individuals and communities the opportunity to achieve and sustain economic prosperity. To support our mission, we are seeking to fill an Assistant to the Director (Staff Services Officer III) position to join the CCRC Administration Department. This position is located at 4800 N Lamar Blvd, in Austin, Texas. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHAT YOU WILL DO: The Assistant to the Director (Staff Services Officer III) is selected by and reports to the Criss Cole Rehabilitation Center, CCRC Director. The Assistant to the Director performs complex (journey-level) staff services activities that support the efficiency and effectiveness of program staff services while maintaining confidentiality to sensitive issues. May train others. Works under general supervision, with moderate latitude for the use of initiative and independent judgment. YOU WILL BE TRUSTED TO: - Support the Director of CCRC by planning, directing, and coordinating diverse staff services functions necessary for the operation of the center programs to include managing complex communications. - Manage document processing - Analyze, develop and recommend practices and procedures related to program support functions. - Coordinate and direct special projects. - Assist in regional program operational expense budget issues (researching, querying, and reporting program data utilizing the agency case management systems). - Serve as regional expert on utilizing the agency administrative system. - Prepare financial and/or administrative correspondence of program staff under the direct supervision of the RD and /or DRD. - Analyze and reports program statistical information, preparing statistical summaries, charts, graphs presenting the results of analysis. - Consult with the Director as appropriate on the progress, development, and evaluation of areas of responsibility and special project activities. - Perform related work as assigned. YOU QUALIFY WITH: -One year and six months of full-time experience in business management, human resource administration, budget preparation or control, or a related staff services function. -Relevant academic credits may be applied toward experience qualifications for this position. YOU GAIN: - A Family Friendly Certified Workplace. - Competitive starting salary: $4,020.33-$5,756.83/month - Defined Retirement Benefit Plan - Optional 401(k) and 457 accounts - Medical Insurance - Paid time off, including time for vacation, sick and family care leave - Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. Regional and statewide travel is required, 5% of the time. Variable work hours may be required to fulfill the responsibilities of the position. Duty also includes the ability to carry/lift 10 pounds. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ProgramManagement.pdf HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Assistant to the Director at Texas Workforce Commission. Skills: Staff services, Program support, Budget management. Support Director of CCRC. Plan staff services functions", "createdAt" : "2026-06-14T00:49:45.367", "lastUpdated" : "2026-06-15T07:44:31.351", "ingestTimestamp" : "2026-06-14T00:49:45.367", "mongoId" : "69ec72e84c40e2acd1d0b686", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Document processing", "Statistical analysis", "Financial analysis", "Staff services", "Program support", "Budget management", "Data analysis", "Financial reporting", "Project coordination", "Workforce system", "Program operations", "Agency administrative system" ], "skillCount" : 12, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.9 }, { "id" : "6a2c68cf74d8ee00a0904d87", "title" : "Site Reliability Engineer - AI Agents", "company" : "Payward", "industry" : "Engineering", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Site Reliability Engineer in the UK FinTech industry, adjusted for London as a high-cost city." }, "location" : "United Kingdom", "locations" : [ "United Kingdom", "Chile", "South Africa", "Colombia", "Spain", "Czech Republic", "Sweden", "Brazil", "Canada", "Cyprus", "Ireland", "Poland", "Portugal", "United Arab Emirates", "Hungary", "Lithuania", "Switzerland", "Mexico", "Argentina", "Peru", "Bulgaria", "Romania" ], "timestamp" : "2026-06-15T08:35:53.025", "fingerprint" : "a20fe5fc64a67a72939a56684ce0cc89ef98cecc16eb82543ec3fc0edee72fe0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/kraken.com/c331de1b-b75a-48f5-9d19-0e56ccb935ab/application", "externalId" : "c331de1b-b75a-48f5-9d19-0e56ccb935ab", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS, Terraform, Kubernetes, Docker, Python, Bash/Shell", "professionalSkills" : [ "Platform engineering", "Developer experience", "API design", "Self-service capabilities" ], "hardSkillsList" : [ "Infrastructure provisioning", "Container orchestration", "Monitoring systems", "Incident response", "CI/CD pipelines", "Access controls", "Security best practices" ], "hardSkills" : [ { "name" : "Infrastructure provisioning", "level" : "intermediate" }, { "name" : "Container orchestration", "level" : "intermediate" }, { "name" : "Monitoring systems", "level" : "intermediate" }, { "name" : "Incident response", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Access controls", "level" : "intermediate" }, { "name" : "Security best practices", "level" : "intermediate" } ], "majorSkills" : "Site Reliability Engineering, AI Infrastructure, Platform Engineering, MLOps", "majorSkillsList" : [ "Site Reliability Engineering", "AI Infrastructure", "Platform Engineering", "MLOps" ], "coreResponsibilities" : "Design infrastructure layer, Build infrastructure layer, Operate infrastructure layer, Ensure reliability, Ensure scalability, Ensure observability, Design platform services, Develop platform services, Develop APIs, Develop SDKs, Develop self-service capabilities, Manage compute infrastructure, Manage orchestration infrastructure, Manage serving infrastructure, Implement monitoring, Implement alerting, Implement incident response, Build CI/CD pipelines, Define guardrails, Implement failure handling, Implement recovery patterns, Collaborate with AI teams, Collaborate with Data Engineering, Translate prototypes, Manage containerized workloads, Implement access controls, Implement security best practices, Document architecture, Document runbooks, Document best practices", "teamCollaboration" : "AI teams; Data Engineering teams; Product-facing teams; Agent Systems teams", "domainKnowledge" : "AI agents; Open finance; Crypto platforms; Financial infrastructure; Agentic workflows; Model inference; LLM-powered systems", "domainList" : [ "ai-agents", "open-finance", "crypto-platforms", "financial-infrastructure", "agentic-workflows", "model-inference", "llm-powered-systems" ], "domainSpecificKnowledge" : [ "AI agents", "Open finance", "Crypto platforms", "Financial infrastructure", "Agentic workflows", "Model inference", "LLM-powered systems" ], "toolProficiency" : [ "Terraform", "Kubernetes", "Docker", "AWS" ], "documentationSkills" : "Document architecture; Document runbooks; Document best practices", "specialRequirements" : "On-call rotations", "qualificationsBasic" : "5+ years experience, Hands-on ML infrastructure experience, Experience building developer platforms, Understanding of platform engineering, Proficiency with Terraform, Experience with Kubernetes, Solid understanding of AWS, Scripting skills (bash/shell), Proficiency in Python, Experience designing observability systems, Experience implementing incident response, Collaboration skills", "qualificationsPreferred" : "Experience building agent infrastructure, Familiarity with agent orchestration frameworks, Background in data infrastructure, Experience with CI/CD pipelines, Exposure to evaluation frameworks, Experience in 0→1 environments, Experience building SDKs, Experience with Cloudflare ecosystem", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page https://www.kraken.com/culture to understand what drives us and how we work. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The AI Infrastructure team sits within the Data organization and is responsible for building, operating, and scaling the systems that power AI agents in production — both internal tools and external-facing products. Working closely with the AI and Agent Systems teams, this group ensures that the orchestration, execution, and model-serving layers underpinning agentic workflows are reliable, observable, and built to scale. This team operates at the intersection of data infrastructure and applied AI — a space that moves fast and demands engineers who can bring production discipline to emerging technology. You'll partner across Data Engineering, ML, and product-facing teams to harden agent infrastructure and keep it running at the standards our users expect. Importantly, this is a platform engineering team. Beyond operating infrastructure, the team is responsible for building the APIs, SDKs, and platform capabilities that enable AI, Data, and Engineering teams to safely and efficiently consume agent infrastructure as a service. Success in this role requires thinking beyond infrastructure operations and toward developer experience, platform adoption, and long-term scalability. THE OPPORTUNITY - Design, build, and operate the infrastructure layer supporting AI agent workflows in production - Ensure reliability, scalability, and observability of agentic systems across internal and external products - Design and develop platform services, APIs, SDKs, and self-service capabilities that allow engineering teams to easily consume AI infrastructure and agent platform services - Manage and maintain the compute, orchestration, and serving infrastructure powering model inference and agent execution - Implement robust monitoring, alerting, and incident response procedures tailored to AI/ML workloads - Utilize Infrastructure as Code (IaC) tools such as Terraform to provision and manage cloud (AWS) infrastructure components - Build and maintain CI/CD pipelines that support rapid, reliable deployment of AI services and agent workflows - Define and implement guardrails, failure handling, and recovery patterns specific to agentic and LLM-powered systems - Collaborate with AI and Data Engineering teams to translate experimental agent prototypes into hardened production systems - Manage containerized workloads using Kubernetes, ensuring efficient deployment, scaling, and orchestration of AI services - Implement access controls and security best practices across AI infrastructure environments - Document architecture, runbooks, and best practices to support knowledge sharing across the team WHAT YOU BRING - 5+ years of experience as a Site Reliability Engineer, Infrastructure Engineer, Platform Engineer, or similar role in a production environment - Hands-on experience supporting ML infrastructure, model serving, or MLOps workflows in production - Experience building developer platforms, internal tooling, APIs, or SDKs consumed by engineering teams at scale - Strong understanding of platform engineering principles, including developer experience, self-service infrastructure, and API-driven platform design - Proficiency with Infrastructure as Code tools, particularly Terraform - Experience with containerization and orchestration, particularly Kubernetes and Docker - Solid understanding of cloud infrastructure, preferably AWS - Strong scripting skills (bash/shell) and proficiency in at least one programming language (Python preferred) - Experience designing and operating observability, monitoring, and alerting systems - Experience implementing incident response procedures and participating in on-call rotations - Strong collaboration skills working across data, AI, and engineering teams - High ownership mindset in a fast-moving, high-stakes production environment NICE TO HAVES - Experience building or operating infrastructure for agent-based or LLM-powered systems - Familiarity with agent orchestration frameworks (e.g., LangGraph, CrewAI, or similar) - Background in data infrastructure, including familiarity with Airflow, Kafka, Spark, or data lake tooling - Experience with CI/CD pipelines and deployment automation for AI/ML workloads - Exposure to evaluation frameworks and model performance monitoring at scale - Experience working in fast-moving 0→1 environments or platform-building teams - Experience building SDKs, developer tooling, or internal platform products with a strong focus on usability and adoption - Experience with Cloudflare's cloud platform and product ecosystem, including networking, security, performance, and Zero Trust solutions Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay in the know Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice", "summaryDescription" : "Site Reliability Engineer - AI Agents at Payward. Skills: Site Reliability Engineering, AI Infrastructure, Platform Engineering, MLOps. Design infrastructure layer. 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Skills: Data Science, AI, Machine Learning, Data Engineering. Develop and implement data science solutions. Build and maintain data pipelines", "postedDate" : "2026-06-16T01:48:00.642", "createdAt" : "2026-06-16T01:48:00.642", "lastUpdated" : "2026-06-16T11:09:43.961", "ingestTimestamp" : "2026-06-16T01:48:00.642", "mongoId" : "6a210e2074d8ee00a0af5d5b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Machine learning", "Data modelling", "ETL processes", "Data warehousing", "Cloud computing", "A/B testing", "Causal inference", "Data Science", "AI", "Machine Learning", "Data Engineering", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Cloud-native architecture", "Distributed systems", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.0 }, { "id" : "6a2c68cf74d8ee00a0904d86", "title" : "Site Reliability Engineer - AI Agents", "company" : "Payward", "industry" : "Engineering", "salary" : { "min" : 96000.0, "max" : 192000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T05:28:18.382", "fingerprint" : "58e841a0594cb6c4e82766e2e0a876d9dab03834f3814afb1b62ec8fa2b0e80f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/kraken.com/c7409ffc-4430-4cdd-906c-3a0487d3e780/application", "externalId" : "c7409ffc-4430-4cdd-906c-3a0487d3e780", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS, Terraform, Kubernetes, Docker, Python, Bash/Shell", "professionalSkills" : [ "Platform engineering", "Developer experience", "API design", "Self-service infrastructure" ], "hardSkillsList" : [ "MLOps", "Model serving", "Infrastructure automation", "CI/CD pipelines", "Container orchestration", "Monitoring systems", "Incident response" ], "hardSkills" : [ { "name" : "MLOps", "level" : "intermediate" }, { "name" : "Model serving", "level" : "intermediate" }, { "name" : "Infrastructure automation", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Container orchestration", "level" : "intermediate" }, { "name" : "Monitoring systems", "level" : "intermediate" }, { "name" : "Incident response", "level" : "intermediate" } ], "majorSkills" : "Site Reliability Engineering, AI Infrastructure, Platform Engineering, MLOps", "majorSkillsList" : [ "Site Reliability Engineering", "AI Infrastructure", "Platform Engineering", "MLOps" ], "coreResponsibilities" : "Design infrastructure layer, Build infrastructure layer, Operate infrastructure layer, Ensure reliability, Ensure scalability, Ensure observability, Design platform services, Develop platform services, Develop APIs, Develop SDKs, Develop self-service capabilities, Manage compute infrastructure, Manage orchestration infrastructure, Manage serving infrastructure, Implement monitoring, Implement alerting, Implement incident response, Utilize Terraform, Build CI/CD pipelines, Define guardrails, Implement failure handling, Implement recovery patterns, Collaborate with AI teams, Collaborate with Data Engineering, Translate prototypes, Manage containerized workloads, Implement access controls, Implement security best practices, Document architecture, Document runbooks, Document best practices", "teamCollaboration" : "AI teams; Data Engineering teams; Product-facing teams; Engineering teams", "domainKnowledge" : "AI agents; Agentic workflows; LLM-powered systems; Cloud-native architecture", "domainList" : [ "ai-agents", "agentic-workflows", "llm-powered-systems", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "AI agents", "Agentic workflows", "LLM-powered systems", "Cloud-native architecture" ], "toolProficiency" : [ "Terraform", "Kubernetes", "Docker", "AWS" ], "documentationSkills" : "Architecture documentation; Runbooks; Best practices documentation", "specialRequirements" : "On-call rotations", "qualificationsBasic" : "5+ years SRE/Infra/Platform Engineer, Hands-on ML infrastructure, Experience building developer platforms, Proficiency with Terraform, Experience with Kubernetes, Solid understanding of AWS, Scripting skills (bash/shell), Proficiency in Python, Experience designing observability, Experience implementing incident response, Collaboration skills", "qualificationsPreferred" : "Experience with agent-based systems, Familiarity with agent orchestration frameworks, Background in data infrastructure, Experience with CI/CD pipelines, Exposure to evaluation frameworks, Experience in 0→1 environments, Experience building SDKs, Experience with Cloudflare platform", "remoteFriendly" : true, "rawDescription" : "BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page https://www.kraken.com/culture to understand what drives us and how we work. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The AI Infrastructure team sits within the Data organization and is responsible for building, operating, and scaling the systems that power AI agents in production — both internal tools and external-facing products. Working closely with the AI and Agent Systems teams, this group ensures that the orchestration, execution, and model-serving layers underpinning agentic workflows are reliable, observable, and built to scale. This team operates at the intersection of data infrastructure and applied AI — a space that moves fast and demands engineers who can bring production discipline to emerging technology. You'll partner across Data Engineering, ML, and product-facing teams to harden agent infrastructure and keep it running at the standards our users expect. Importantly, this is a platform engineering team. Beyond operating infrastructure, the team is responsible for building the APIs, SDKs, and platform capabilities that enable AI, Data, and Engineering teams to safely and efficiently consume agent infrastructure as a service. Success in this role requires thinking beyond infrastructure operations and toward developer experience, platform adoption, and long-term scalability. THE OPPORTUNITY - Design, build, and operate the infrastructure layer supporting AI agent workflows in production - Ensure reliability, scalability, and observability of agentic systems across internal and external products - Design and develop platform services, APIs, SDKs, and self-service capabilities that allow engineering teams to easily consume AI infrastructure and agent platform services - Manage and maintain the compute, orchestration, and serving infrastructure powering model inference and agent execution - Implement robust monitoring, alerting, and incident response procedures tailored to AI/ML workloads - Utilize Infrastructure as Code (IaC) tools such as Terraform to provision and manage cloud (AWS) infrastructure components - Build and maintain CI/CD pipelines that support rapid, reliable deployment of AI services and agent workflows - Define and implement guardrails, failure handling, and recovery patterns specific to agentic and LLM-powered systems - Collaborate with AI and Data Engineering teams to translate experimental agent prototypes into hardened production systems - Manage containerized workloads using Kubernetes, ensuring efficient deployment, scaling, and orchestration of AI services - Implement access controls and security best practices across AI infrastructure environments - Document architecture, runbooks, and best practices to support knowledge sharing across the team WHAT YOU BRING - 5+ years of experience as a Site Reliability Engineer, Infrastructure Engineer, Platform Engineer, or similar role in a production environment - Hands-on experience supporting ML infrastructure, model serving, or MLOps workflows in production - Experience building developer platforms, internal tooling, APIs, or SDKs consumed by engineering teams at scale - Strong understanding of platform engineering principles, including developer experience, self-service infrastructure, and API-driven platform design - Proficiency with Infrastructure as Code tools, particularly Terraform - Experience with containerization and orchestration, particularly Kubernetes and Docker - Solid understanding of cloud infrastructure, preferably AWS - Strong scripting skills (bash/shell) and proficiency in at least one programming language (Python preferred) - Experience designing and operating observability, monitoring, and alerting systems - Experience implementing incident response procedures and participating in on-call rotations - Strong collaboration skills working across data, AI, and engineering teams - High ownership mindset in a fast-moving, high-stakes production environment NICE TO HAVES - Experience building or operating infrastructure for agent-based or LLM-powered systems - Familiarity with agent orchestration frameworks (e.g., LangGraph, CrewAI, or similar) - Background in data infrastructure, including familiarity with Airflow, Kafka, Spark, or data lake tooling - Experience with CI/CD pipelines and deployment automation for AI/ML workloads - Exposure to evaluation frameworks and model performance monitoring at scale - Experience working in fast-moving 0→1 environments or platform-building teams - Experience building SDKs, developer tooling, or internal platform products with a strong focus on usability and adoption - Experience with Cloudflare's cloud platform and product ecosystem, including networking, security, performance, and Zero Trust solutions Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay in the know Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice", "summaryDescription" : "Site Reliability Engineer - AI Agents at Payward. Skills: Site Reliability Engineering, AI Infrastructure, Platform Engineering, MLOps. Design infrastructure layer. Build infrastructure layer", "createdAt" : "2026-06-13T22:01:52.296", "lastUpdated" : "2026-06-15T05:28:18.382", "ingestTimestamp" : "2026-06-13T22:01:52.296", "mongoId" : "6a2c68cf74d8ee00a0904d86", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 96000, "salaryAnnualMax" : 192000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "MLOps", "Model serving", "Infrastructure automation", "CI/CD pipelines", "Container orchestration", "Monitoring systems", "Incident response", "Site Reliability Engineering", "AI Infrastructure", "Platform Engineering", "Platform engineering", "Developer experience", "API design", "Self-service infrastructure", "AI agents", "Agentic workflows", "LLM-powered systems", "Cloud-native architecture", "Terraform", "Kubernetes", "Docker", "AWS" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a427874d8ee00a05cbcd5", "title" : "Junior Kit Cutting and Digitiser Technician - Weekends", "company" : "Williams Racing", "industry" : "Sports", "salary" : { "min" : 23500.0, "max" : 29000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Kit Cutting and Digitiser Technician in Wantage, United Kingdom, adjusted for entry-level experience and the manufacturing industry." }, "location" : "Grove, Wantage, United Kingdom", "locations" : [ "Grove, Wantage", "United Kingdom" ], "timestamp" : "2026-06-11T09:56:15.025", "fingerprint" : "700b425bf4109a5adf3194e1281903b7b947f5ffe519e1ba7616138811132f53", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WilliamsRacing/744000131475802-junior-kit-cutting-and-digitiser-technician-weekends", "externalId" : "744000131475802", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Wantage", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5878072,-1.4249258" } ], "locationText" : "Wantage, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Sigmanest", "professionalSkills" : [ "Process accuracy", "Inventory management", "Traceability", "Quality assurance" ], "hardSkillsList" : [ "Chemical etching", "Vapour blasting", "Engineering drawings", "Ply Books" ], "softSkillsList" : [ "Attention to detail" ], "hardSkills" : [ { "name" : "Chemical etching", "level" : "intermediate" }, { "name" : "Vapour blasting", "level" : "intermediate" }, { "name" : "Engineering drawings", "level" : "intermediate" }, { "name" : "Ply Books", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Attention to detail" } ], "majorSkills" : "Kit cutting, Digitising, Composites production", "majorSkillsList" : [ "Kit cutting", "Digitising", "Composites production" ], "coreResponsibilities" : "Operate Zund cutting table, Produce precision-cut kits, Reverse engineer laminator templates, Process Fibresim files, Optimise Fibresim files, Prepare inserts for manufacturing, Operate chemical etching plant, Book materials in, Book materials out, Maintain traceability, Track raw material batch records, Maintain outlife data, Maintain shelf-life data, Read engineering drawings, Interpret Ply Books, Carry out equipment maintenance checks, Keep work areas maintained, Process manufacturing documentation", "domainKnowledge" : "Composites production; F1 engineering", "domainList" : [ "composites-production", "f1-engineering" ], "domainSpecificKnowledge" : [ "Composites production", "F1 engineering" ], "toolProficiency" : [ "Zund cutting table", "Sigmanest software", "Inventory management software" ], "communicationSkills" : "Clear written communication; Verbal communication; Completing documentation", "documentationSkills" : "Manufacturing documentation", "problemSolvingSkills" : "Flag issues", "specialRequirements" : "Weekend shift, Friday 06:30 to 18:30, Saturday 06:30 to 18:30", "qualificationsBasic" : "GCSEs or A-Levels, Ability to read engineering drawings, Willingness to learn quickly", "qualificationsPreferred" : "Prior experience in manufacturing, Prior experience in technical environment, Experience with cutting systems, Experience with inventory systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "For almost 50 years, Williams F1 Team has been at the forefront of one of the fastest sports on the planet, being one of the top three most successful teams in history competing in the FIA Formula 1 World Championship. With an almost unrivalled heritage of engineering and racing F1 cars and unforgettable eras that demonstrate it is a force to be reckoned with, the British squad boasts 16 F1 World Championship titles to its name. Since its foundation in 1977 by the eminent, late Sir Frank Williams and engineering pioneer Sir Patrick Head, the team has won nine Constructors’ Championships, in association with Cosworth, Honda and Renault. Its roll call of drivers is legendary, with its seven Drivers’ Championship trophies being lifted by true icons of the sport: Alan Jones, Keke Rosberg, Nelson Piquet, Nigel Mansell, Alain Prost, Damon Hill and Jacques Villeneuve. The team has made history before and is out to make it again with a long-term mission to evolve and return to the front of the grid. THE OPPORTUNITY Before a single ply of carbon fibre is laid up, someone has to get it exactly right. As a Junior Kit Cutting and Digitiser Technician at Williams F1 Team, you’re the first link in the chain, ensuring every kit, insert, and material that reaches our composites team is cut, processed, and documented to the highest standard. This is a role for someone who takes genuine pride in process, accuracy, and doing things properly. You don’t need years of F1 experience, but you do need to care about the details. In a sport where margins are measured in milliseconds, the work you do in the kit room matters. WHAT YOU’LL DO * Operate our Zund cutting table and Sigmanest software to produce precision-cut kits for composites production. * Reverse engineer laminator templates using Sigmanest digitising tools and process and optimise Fibresim 2D DXF files. * Prepare inserts for composite manufacturing via chemical etching and vapour blasting, operating our in-house chemical etching plant. * Book materials in and out using inventory management software, maintaining full traceability of all raw material movements. * Track and maintain raw material batch records, outlife, and shelf-life data to ensure nothing goes out of spec. * Read and interpret engineering drawings and Ply Books to support accurate kit preparation. * Carry out daily equipment maintenance checks and keep work areas maintained to 5S standards. * Process supporting manufacturing documentation to QA requirements. ## Qualifications WHAT YOU’LL BRING * Strong attention to detail, you notice what others miss and you don’t cut corners. * Good PC literacy and confidence working with software packages; experience with cutting or inventory systems is a bonus. * Ability to read engineering drawings or Ply Books (or a genuine willingness to learn quickly). * Clear written and verbal communication skills; comfortable completing documentation accurately. * A methodical, process-driven approach and the initiative to flag issues before they become problems. * GCSEs or A-Levels (or equivalent); prior experience in a manufacturing or technical environment is desirable but not This is a WEEKEND shift Friday to Saturday 06:30 to 18:30 ## Additional Information #LI-DY1 Atlassian Williams F1 Team is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments.", "summaryDescription" : "Junior Kit Cutting and Digitiser Technician - Weekends at Williams Racing. Skills: Kit cutting, Digitising, Composites production. Operate Zund cutting table. Produce precision-cut kits", "postedDate" : "2026-06-10T14:54:58.000", "createdAt" : "2026-06-11T07:37:58.686", "lastUpdated" : "2026-06-11T09:56:15.025", "ingestTimestamp" : "2026-06-11T07:37:58.686", "mongoId" : "6a2a427874d8ee00a05cbcd5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Chemical etching", "Vapour blasting", "Engineering drawings", "Ply Books", "Attention to detail", "Kit cutting", "Digitising", "Composites production", "Process accuracy", "Inventory management", "Traceability", "Quality assurance", "F1 engineering", "Zund cutting table", "Sigmanest software", "Inventory management software" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Motorsports" }, { "id" : "6a3080b2f292fd229c067849", "title" : "Documentation Coordinator", "company" : "The Wonderful Company", "industry" : "Logistics And Supply Chain", "salary" : { "min" : 30000.0, "max" : 45000.0, "currency" : "FJD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Documentation Coordinator in Suva, Fiji, adjusted for the logistics industry and full-time employment." }, "location" : "Suva, Central Division, FJ", "locations" : [ "Suva", "Central Division", "FJ" ], "timestamp" : "2026-06-16T13:35:40.428", "fingerprint" : "a8f9e5ddef9115f029cc195837b0632aca4b74f86ef9a1875a9c773b2e6aa3df", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/TheWonderfulCompany/744000132078239-documentation-coordinator", "externalId" : "744000132078239", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Suva", "state" : "Central Division", "country" : "Fiji", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-18.1156208,178.4760376" } ], "locationText" : "Suva, Central Division, Fiji", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Data entry", "Vessel/ voyage audits" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Vessel/ voyage audits", "level" : "intermediate" } ], "majorSkills" : "Documentation administration, Process management, Customer support", "majorSkillsList" : [ "Documentation administration", "Process management", "Customer support" ], "coreResponsibilities" : "Process all documentation, Send pre-alert and schedule information, Coordinate with internal departments, Handle documentation submitted by customers, Complete documentation in a timely manner, Download and compile manifest, Compile invoices, Arrange for distribution to authorities, Arrange for distribution to internal customers, Compile manifest, Compile bill of ladings, Compile invoices, Make amendments as required, Enter data of bills, Enter freight details into system, Perform vessel/ voyage audits, Ensure all BOL have been processed, Ensure BOL closed within KPI, Manage end-to-end process, Liaise with Commercial teams, Liaise with Sales teams, Handle rates queries, Prepare pre-receivable advice documentation, Act as first point of contact for customer, Act as first point of contact for customer, Escalate process when necessary, Self-check accuracy of documents, Support internal customers with adhoc requests, Perform other tasks as directed", "teamCollaboration" : "Internal departments; Commercial teams; Sales teams", "domainKnowledge" : "Shipping; Logistics services; Pacific Island markets; Freight; Bills of lading", "domainList" : [ "shipping", "logistics-services", "pacific-island-markets", "freight", "bills-of-lading" ], "domainSpecificKnowledge" : [ "Shipping", "Logistics services", "Pacific Island markets", "Freight", "Bills of lading" ], "toolProficiency" : [ "Microsoft Office Suite", "Cargo Wise" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Document accuracy; Document production", "continuousLearning" : "Opportunity for development; Internal mobility", "specialRequirements" : "Work under pressure, Make sound decisions, Work to changing deadlines, Work under minimal supervision", "outcomesObjectives" : "Improve delivery of functional KPI; Ensure documentation completed timely; Ensure all BOL processed within KPI", "qualificationsBasic" : "Minimum 2 years shipping / freight experience, Tertiary studies in management / business administration, Intermediate proficiency with Microsoft Office Suite, Legal right to live and work in Fiji", "qualificationsPreferred" : "Supply chain desirable, Proficient training experience in Cargo Wise", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Neptune Pacific operates market leading brands in shipping and logistics services across 18 Pacific Island markets. NPDL is the largest carrier in its core Pacific Island markets operating eight container ships and servicing 18 Pacific Island nations. The Documentation Coordinator is responsible for administrating back-office functions of the Customer Experience department. A crucial element of this role is ensuring all documents are produce with a high degree of accuracy and within tight timeframes due to short transit times of the Pacific Island Trades. The Documentation Coordinator will also be required to make system updates according to Company processes to ensure seamless operations and proactively manage issues related to the documentation outputs. It is essential the Documentation Coordinator communicates effectively with internal and external customers. * Process all documentation on behalf of principals and send pre-alert and schedule information to customers * Collaboratively coordinate with all internal departments to improve the delivery of functional KPI * Ensure all documentation submitted by customers is handled with care and completed in a timely manner * Download and compile manifest and invoices and arranging for distribution to local authorities and internal customers * Compiling manifest, bill of ladings and invoices in a timely manner including amendments as required * Responsible for data entry of bills and freight details into system, * Responsible for vessel/ voyage audits to ensure all BOL have been processed and closed within the agreed KPI * Overall accountability of the end-to-end process allocated trade lanes * Liaise with Commercial and Sales teams / Managers on rates queries in accordance with NPDL approval process * Preparing all pre-receivable advice documentation for customers * First point of contact for customer complaints and enquiries related to documentation and escalation process when necessary * Self-checked on accuracy of internal and external documents * Supporting internal customers with adhoc documentation requests * Other tasks as directed ## Qualifications * Tertiary studies in management / business administration with supply chain desirable * Minimum 2 years shipping / freight experience in similar position * Team player with positive, customer-centric attitude * Exceptional communication skills, both verbal and written * Process-oriented approach to work and excellent attention to detail. * Effective Time management and planning skills. * Ability to work under pressure and make sound decisions in fast-paced environment. * Demonstrated adaptability to work to changing deadlines. * Intermediate proficiency with Microsoft Office Suite * Proficient training experience in Cargo Wise desirable * Resilient team player who is goal-orientated and demonstrates a high level of commitment with the ability to work under minimal supervision. ## Additional Information * Competitive benefits package (salary plus bonus). * Opportunity for development and internal mobility. * Wonderful Giving - allowing you to donate company money to a cause of your choice. * Project Wonderful - Staff spend a day in the community helping with various projects. * Company focused on wellness and health If you are a self-starter with an interest in developing your skills in the logistics industry, then this could be you. To be considered for this role you must have the legal right to live and work in Fiji. All your information will be kept confidential according to EEO guidelines. EEO is the law - [click here for more information](https://www.eeoc.gov/sites/default/files/2023-06/22-088EEOCKnowYourRights6.12ScreenRdr.pdf)", "summaryDescription" : "Documentation Coordinator at The Wonderful Company. Skills: Documentation administration, Process management, Customer support. Process all documentation. Send pre-alert and schedule information", "postedDate" : "2026-06-14T21:57:57.000", "createdAt" : "2026-06-16T01:45:16.340", "lastUpdated" : "2026-06-16T13:35:40.428", "ingestTimestamp" : "2026-06-16T01:45:16.340", "mongoId" : "6a3080b2f292fd229c067849", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data entry", "Vessel/ voyage audits", "Documentation administration", "Process management", "Customer support", "Cross-functional coordination", "Stakeholder management", "Resource planning", "Continuous improvement", "Shipping", "Logistics services", "Pacific Island markets", "Freight", "Bills of lading", "Microsoft Office Suite", "Cargo Wise" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306261f292fd229cf9a03a", "title" : "Documentation Coordinator", "company" : "The Wonderful Company", "industry" : "Logistics And Supply Chain", "salary" : { "min" : 30000.0, "max" : 45000.0, "currency" : "FJD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Documentation Coordinator in Suva, Fiji, adjusted for the logistics industry and full-time employment." }, "location" : "Suva, Central Division, FJ", "locations" : [ "Suva", "Central Division", "FJ" ], "timestamp" : "2026-06-16T10:44:17.499", "fingerprint" : "aa64fc2afd94e2466c400089547b771edbf663295cacd6be5cef1df1624adba5", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/TheWonderfulCompany/744000132078239-documentation-coordinator", "externalId" : "744000132078239", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Suva", "state" : "Central Division", "country" : "Fiji", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-18.1156208,178.4760376" } ], "locationText" : "Suva, Central Division, Fiji", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Data entry", "Vessel audits", "Freight details" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Vessel audits", "level" : "intermediate" }, { "name" : "Freight details", "level" : "intermediate" } ], "majorSkills" : "Documentation administration, Process management, Customer support", "majorSkillsList" : [ "Documentation administration", "Process management", "Customer support" ], "coreResponsibilities" : "Process documentation on behalf principals, Send pre-alert information, Send schedule information, Coordinate with internal departments, Handle documentation submitted by customers, Complete documentation in timely manner, Download manifest, Compile manifest, Arrange distribution to authorities, Arrange distribution to internal customers, Compile manifest, Compile bill of ladings, Compile invoices, Amend documents as required, Enter data of bills, Enter freight details into system, Perform vessel audits, Perform voyage audits, Process BOL, Close BOL within KPI, Manage end-to-end process, Liaise with Commercial teams, Liaise with Sales teams, Prepare pre-receivable advice, Act as first point of contact, Handle customer complaints, Handle customer enquiries, Escalate documentation issues, Self-check accuracy of documents, Support internal customers, Handle adhoc documentation requests, Perform other tasks as directed", "teamCollaboration" : "Internal departments; Commercial teams; Sales teams", "domainKnowledge" : "Shipping; Logistics services; Pacific Island markets; Freight; Bill of ladings", "domainList" : [ "shipping", "logistics-services", "pacific-island-markets", "freight", "bill-of-ladings" ], "domainSpecificKnowledge" : [ "Shipping", "Logistics services", "Pacific Island markets", "Freight", "Bill of ladings" ], "toolProficiency" : [ "Microsoft Office Suite", "Cargo Wise" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Document accuracy; Document production", "continuousLearning" : "Opportunity for development; Internal mobility", "problemSolvingSkills" : "Proactively manage issues", "specialRequirements" : "Legal right to live and work in Fiji", "outcomesObjectives" : "Improve delivery of functional KPI; Ensure documentation completed timely", "qualificationsBasic" : "2 years shipping experience, 2 years freight experience, Tertiary studies in management, Tertiary studies in business administration, Intermediate proficiency Microsoft Office Suite", "qualificationsPreferred" : "Supply chain desirable, Proficient training experience Cargo Wise", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Neptune Pacific operates market leading brands in shipping and logistics services across 18 Pacific Island markets. NPDL is the largest carrier in its core Pacific Island markets operating eight container ships and servicing 18 Pacific Island nations. The Documentation Coordinator is responsible for administrating back-office functions of the Customer Experience department. A crucial element of this role is ensuring all documents are produce with a high degree of accuracy and within tight timeframes due to short transit times of the Pacific Island Trades. The Documentation Coordinator will also be required to make system updates according to Company processes to ensure seamless operations and proactively manage issues related to the documentation outputs. It is essential the Documentation Coordinator communicates effectively with internal and external customers. * Process all documentation on behalf of principals and send pre-alert and schedule information to customers * Collaboratively coordinate with all internal departments to improve the delivery of functional KPI * Ensure all documentation submitted by customers is handled with care and completed in a timely manner * Download and compile manifest and invoices and arranging for distribution to local authorities and internal customers * Compiling manifest, bill of ladings and invoices in a timely manner including amendments as required * Responsible for data entry of bills and freight details into system, * Responsible for vessel/ voyage audits to ensure all BOL have been processed and closed within the agreed KPI * Overall accountability of the end-to-end process allocated trade lanes * Liaise with Commercial and Sales teams / Managers on rates queries in accordance with NPDL approval process * Preparing all pre-receivable advice documentation for customers * First point of contact for customer complaints and enquiries related to documentation and escalation process when necessary * Self-checked on accuracy of internal and external documents * Supporting internal customers with adhoc documentation requests * Other tasks as directed ## Qualifications * Tertiary studies in management / business administration with supply chain desirable * Minimum 2 years shipping / freight experience in similar position * Team player with positive, customer-centric attitude * Exceptional communication skills, both verbal and written * Process-oriented approach to work and excellent attention to detail. * Effective Time management and planning skills. * Ability to work under pressure and make sound decisions in fast-paced environment. * Demonstrated adaptability to work to changing deadlines. * Intermediate proficiency with Microsoft Office Suite * Proficient training experience in Cargo Wise desirable * Resilient team player who is goal-orientated and demonstrates a high level of commitment with the ability to work under minimal supervision. ## Additional Information * Competitive benefits package (salary plus bonus). * Opportunity for development and internal mobility. * Wonderful Giving - allowing you to donate company money to a cause of your choice. * Project Wonderful - Staff spend a day in the community helping with various projects. * Company focused on wellness and health If you are a self-starter with an interest in developing your skills in the logistics industry, then this could be you. To be considered for this role you must have the legal right to live and work in Fiji. All your information will be kept confidential according to EEO guidelines. EEO is the law - [click here for more information](https://www.eeoc.gov/sites/default/files/2023-06/22-088EEOCKnowYourRights6.12ScreenRdr.pdf)", "summaryDescription" : "Documentation Coordinator at The Wonderful Company. Skills: Documentation administration, Process management, Customer support. Process documentation on behalf principals. Send pre-alert information", "postedDate" : "2026-06-14T21:57:57.000", "createdAt" : "2026-06-15T23:55:44.325", "lastUpdated" : "2026-06-16T10:44:17.499", "ingestTimestamp" : "2026-06-15T23:55:44.325", "mongoId" : "6a306261f292fd229cf9a03a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data entry", "Vessel audits", "Freight details", "Documentation administration", "Process management", "Customer support", "Cross-functional coordination", "Stakeholder management", "Resource planning", "Continuous improvement", "Shipping", "Logistics services", "Pacific Island markets", "Freight", "Bill of ladings", "Microsoft Office Suite", "Cargo Wise" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210e8a74d8ee00a0af81d2", "title" : "Product Strategy and Operations Lead, AI and Infrastructure", "industry" : "Technology", "salary" : { "min" : 220000.0, "max" : 330000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Product Strategy and Operations role in the Technology industry in Sunnyvale, United States, adjusted for seniority and company size." }, "location" : "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]", "locations" : [ "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]", "[Seattle, WA, USA, [Seattle, WA, USA], Seattle, null, WA, US]" ], "timestamp" : "2026-06-16T10:09:07.098", "fingerprint" : "ae1637deb2953d9ef88f094378ccd2a9af4aeb0ac2b36a6092c90ba3f926cec8", "source" : "google", "language" : "en", "externalId" : "112719367937893062", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "majorSkills" : "Product strategy, Roadmap development, User stories, Cross-functional collaboration", "majorSkillsList" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration" ], "coreResponsibilities" : "Develop product strategy, Define product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "AI; Infrastructure", "domainList" : [ "ai", "infrastructure" ], "domainSpecificKnowledge" : [ "AI", "Infrastructure" ], "qualificationsBasic" : "5+ years product management experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Product Strategy and Operations Lead, AI and Infrastructure. Skills: Product strategy, Roadmap development, User stories, Cross-functional collaboration. Develop product strategy. Define product roadmap", "postedDate" : "2026-06-16T01:48:19.204", "createdAt" : "2026-06-16T01:48:19.204", "lastUpdated" : "2026-06-16T10:09:07.098", "ingestTimestamp" : "2026-06-16T01:48:19.204", "mongoId" : "6a210e8a74d8ee00a0af81d2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "AI", "Infrastructure" ], "skillCount" : 6, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30794df292fd229c031216", "title" : "Director, Data and AI Engineering", "company" : "Benevity", "industry" : "Technology", "salary" : { "min" : 192000.0, "max" : 238810.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Toronto, Ontario", "locations" : [ "Toronto, Ontario" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T15:07:30.375", "fingerprint" : "aaf0e33227ca131481be4962d98f3d416a3d9e7ac0a72837e11beccb51a05d5d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/benevity/791ccf38-f164-4521-b05d-6f35fa1e7245/application", "externalId" : "791ccf38-f164-4521-b05d-6f35fa1e7245", "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", "experienceLevel" : "Director", "technicalSkills" : "Python, SQL, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Kubernetes, Terraform, Kafka, Flink, Apache Beam, Lambda, Kinesis, Pub/Sub", "professionalSkills" : [ "Data strategy", "Data modeling", "Business intelligence", "Data governance", "ML systems engineering", "Product intelligence", "AI-powered services", "Data-driven decision-making", "Scalable data engineering", "AI/ML systems", "Cloud-based data architectures", "Real-time analytics", "ML/AI-driven solutions", "Client needs", "Data-as-a-product", "Data assets", "Real-time analytics", "AI-powered automation", "Data-driven insights", "Self-service analytics", "Data pipelines", "Enterprise warehousing", "ML training", "Business reporting", "AI-powered features", "Anomaly detection", "Personalization", "Cost optimization", "MLOps", "CI/CD", "Real-time inference", "Recommendations", "Predictive analytics", "NLP", "Generative AI", "Ethical AI", "AI standards", "BI tools", "Dashboards", "Product analytics", "User behavior", "Feature engagement", "Embedded analytics", "SaaS metrics", "Data privacy", "Data security", "Compliance", "Data lineage", "Metadata management", "MDM", "RBAC", "ABAC", "ReBac", "Data sharing", "Data democratization", "Trusted data", "Documented data", "Team leadership", "Budget management", "Product innovations", "Multi-tenant SaaS", "Customer-facing analytics", "Emerging AI trends", "Responsible AI frameworks" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence", "majorSkillsList" : [ "Data Engineering", "AI/ML Engineering", "Data Strategy", "Business Intelligence" ], "coreResponsibilities" : "Define and execute data and AI strategy, Lead cross-functional teams, Establish data-as-a-product principles, Drive innovation in real-time analytics, Partner with Product, Engineering, and Customer Success teams, Design and oversee high-scale, cloud-native data architectures, Implement highly available, fault-tolerant data pipelines, Lead data modeling initiatives, Work with engineering teams to embed AI-powered features, Drive observability, monitoring, and cost optimization, Oversee the development of ML/AI models, Implement MLOps best practices, Lead initiatives in AI-powered recommendations, Ensure bias-free, ethical AI practices, Build and manage BI tools, Develop product analytics frameworks, Implement embedded analytics solutions, Optimize reporting for SaaS metrics, Own data governance frameworks, Define and implement data lineage, Drive role-based access controls, Champion data democratization", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Customer Success teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "B2B SaaS; Cloud-native architecture; Multi-tenant SaaS; SaaS metrics; GDPR; SOC 2; PIPEDA; CCPA", "domainList" : [ "b2b-saas", "cloud-native-architecture", "multi-tenant-saas", "saas-metrics", "gdpr", "soc-2", "pipeda", "ccpa" ], "domainSpecificKnowledge" : [ "B2B SaaS", "Cloud-native architecture", "Multi-tenant SaaS", "SaaS metrics", "GDPR", "SOC 2", "PIPEDA", "CCPA" ], "toolProficiency" : [ "Collibra", "Informatica", "Alation", "Immuta", "JIRA" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Growth opportunities", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "10+ years of experience in data engineering, AI/ML, or analytics leadership roles, SQL proficiency, Master's or PhD in", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "MEET BENEVITY Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.", "summaryDescription" : "Director, Data and AI Engineering at Benevity. Skills: Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence. Define and execute data and AI strategy. 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We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. Our Network & Edge Services team owns the networking infrastructure that powers 1Password — from DNS resolution and CDN edge protection through ingress, service mesh, and the wide-area connectivity that links our infrastructure together. As a Senior Platform Engineer on this team, you will play an important role in building the self-service platforms and reliable, secure network foundation that 1Password depends on. Your responsibilities include designing and delivering network infrastructure across DNS, edge, ingress, and service mesh; building the tooling and abstractions that let other engineering teams provision and manage their own networking needs without depending on the NES team; and ensuring the network is observable, hardened, and resilient by default. You will work closely with cross-functional partners to understand their needs and keep them aligned on priorities and progress, while contributing to a team culture of shared ownership, direct feedback, and continuous improvement. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - 5+ years of hands-on experience with cloud networking and distributed systems at SaaS or similar scale, with expertise in architecting and debugging across the stack. - Deep knowledge of internet architecture and modern web services (DNS, CDN, WAF, Load Balancing, Ingress, Service Mesh), and demonstrated ability to deliver reliable, observable, and secure infrastructure. - Proficiency in Go (or similar languages) and Infrastructure as Code (Terraform), with a track record of building automation and platform tooling. - Experience building reliable, observable platforms, defining SLIs/SLOs, and establishing these practices as team standards. - On-call experience, including incident resolution and driving architectural improvements through postmortems and technical decision-making. - Consistently apply a security-first approach, implementing least-privilege policies, ensuring encryption in transit, and evaluating attack surfaces as part of standard design practices. Bonus points for: - Experience designing self-service network abstractions (DNS provisioning, ingress configuration, network policy tooling) that empower internal teams. - Experience with CDN, edge protection (cache strategy, WAF, origin shielding), VPNs, and wide-area connectivity in cloud environments. - Familiarity with tools like Envoy, Linkerd, Cloudfront, or Cloudflare. - Open source contributions and experience applying compliance frameworks (SOC 2, ISO 27001) to networking and policy as code. What you can expect: - Deliver network stack projects end-to-end (service mesh, DNS, ingress/egress, CDN, edge protection, L4/L7 policy). Shape technical vision, execute delivery, and maintain operability. - Integrate networking into self-service platforms, streamlining workflows and enabling engineering teams to operate independently. - Participate in the on-call rotation, driving incident resolution and continuous improvement through postmortem analysis. - Collaborate with cross-functional partners in security, platform, and product engineering. Translate their needs into well-defined work and keep them informed about priorities, progress, and risks. - Foster a collaborative team culture by conducting design reviews, sharing knowledge, and mentoring. We value engineers who teach as much as they build. - Work remotely from anywhere in the US or Canada, with periodic team meetups for planning and connection. We prioritize asynchronous communication to respect your time and focus. USA-based roles only: The annual base salary for this role is between $150,000 USD and $210,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $132,000 CAD and $185,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing \uD83D\uDC76 Maternity and parental leave top-up programs \uD83E\uDE7A Competitive health benefits \uD83C\uDFDD Generous PTO policy Growth and future \uD83D\uDCC8 RSU program for most employees \uD83D\uDCB8 Retirement matching program \uD83D\uDD11 Free 1Password account Community \uD83E\uDD1D Paid volunteer days \uD83C\uDFC6 Peer-to-peer recognition through Bonusly \uD83C\uDF0E Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.", "summaryDescription" : "Senior Platform Engineer (Network and Edge Services) at 1Password. Skills: Network infrastructure, Self-service platforms, Cloud networking, Service mesh. Design network infrastructure. Deliver network infrastructure", "postedDate" : "2026-06-11T18:50:09.341", "createdAt" : "2026-06-11T18:50:09.341", "lastUpdated" : "2026-06-14T19:57:24.628", "ingestTimestamp" : "2026-06-11T18:50:09.341", "mongoId" : "6a2a902e74d8ee00a068affb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Cloud networking", "Distributed systems", "Internet architecture", "Web services", "Automation building", "Network infrastructure", "Self-service platforms", "Service mesh", "System design", "Platform tooling", "SLI/SLO definition", "Incident resolution", "Technical decision-making", "Security-first approach", "Least-privilege policies", "Encryption in transit", "Attack surface evaluation", "Modern web services", "SaaS scale", "Edge protection", "Wide-area connectivity", "Cloud environments", "Compliance frameworks", "Network policy", "Terraform", "Envoy", "Linkerd", "Cloudfront", "Cloudflare" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "platform-engineering", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false } ], "status" : 200, "message" : "utilize cutting edge ai technologies and agents to automate and optimize the documentation lifecycle jobs", "metadata" : { "title" : "utilize cutting edge ai technologies and agents to automate and optimize the documentation lifecycle" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 48657, "totalPages" : 974, "hasNext" : true, "hasPrevious" : false } }

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