{ "count" : 158343, "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. 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. 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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. 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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: - 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: - 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. 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, Customer experiences, 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" : "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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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: - 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. Lead end-to-end development for customer experiences", "createdAt" : "2026-06-16T00:27:18.534", "lastUpdated" : "2026-06-16T09:36:44.085", "ingestTimestamp" : "2026-06-16T00:27:18.534", "mongoId" : "6a305930f292fd229cf45a12", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails", "AI platform", "LLM systems", "Product strategy", "System design", "API design", "System architecture", "Roadmap development", "AI agents", "Voice models", "Workflow automation", "Car ownership industry" ], "skillCount" : 14, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "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" : "6a2cb13c74d8ee00a09dc952", "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" : "2026-06-16T01:28:13.305", "fingerprint" : "5ec68a055b0680cfe6f60c2f27a55a293e93215d3c785dcc30034b7e71abf02b", "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", "professionalSkills" : [ "System architecture", "API design" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Answer quality" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Answer quality", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI Agents, LLM systems, Platform standards", "majorSkillsList" : [ "AI Agents", "LLM systems", "Platform standards" ], "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; Work with partners at OpenAI", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Car ownership; Regulated production environment", "domainList" : [ "car-ownership", "regulated-production-environment" ], "domainSpecificKnowledge" : [ "Car ownership", "Regulated production environment" ], "communicationSkills" : "Technical translator", "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic Problem-Solver", "outcomesObjectives" : "Automate >70% of inbound sales; Automate >70% of service requests", "qualificationsBasic" : "5+ years of experience in management consulting, 5+ years of experience in technical product management, Proven interest in modern LLM systems, Ability to navigate technical tradeoffs, Lead by example implementing AI platform standards, Track record of turning complex ideas into scalable products", "qualificationsPreferred" : "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, LLM systems, Platform standards. Lead end-to-end development for AI platform. 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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" : "6a2c96d274d8ee00a09908cf", "title" : "Senior Policy Analyst, Higher Education", "company" : "UnidosUS", "salary" : { "min" : 76100.0, "max" : 84600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Washington, District of Columbia, United States", "locations" : [ "Washington", "District of Columbia", "United States" ], "timestamp" : "2026-06-16T04:32:57.066", "fingerprint" : "58a1ef20853613e453b95beb8a13627b21a443fe7c9884d20a76f889e750d296", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://unidosus.org/about/jobs/careers-job-listing/?gh_jid=4686656006", "externalId" : "4686656006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About UnidosUS UnidosUS is a nonprofit, nonpartisan organization that serves as the nation’s largest Hispanic civil rights and advocacy organization. Since 1968, we have built a stronger America by creating opportunities for Latinos and breaking down barriers to expand economic and social progress for all. UnidosUS partners with an Affiliate Network of nearly 300 community-based organizations across the United States and Puerto Rico. For more information on UnidosUS, visit www.unidosus.org or follow us on Facebook, Instagram, LinkedIn, X and Threads. SUMMARY UnidosUS is seeking a Senior Policy Analyst to join its Education Policy Project, reporting to the Director for Education Policy. This role will serve as a subject-matter expert and partner in shaping and advancing federal and state advocacy agendas. The Senior Policy Analyst will help develop and drive a policy agenda focused on strengthening accountability and improving return on investment in higher education, particularly for Latino students and other historically underserved communities. The role will center on advancing policies that ensure postsecondary programs deliver real economic value, protect students from low-quality or predatory programs, and close gaps in post-college outcomes. The Senior Policy Analyst will promote federal and state policies that improve transparency, enforce accountability, and ensure students enroll in programs that lead to meaningful credentials, gainful employment, and long-term economic mobility. The ideal candidate brings familiarity with postsecondary data sets and a strong interest in using evidence to improve outcomes for Latino students. Location: This is a hybrid position based in Washington, DC. In accordance with UnidosUS policy, employees are expected to work onsite two days per week, with Tuesdays designated as a common in-office day. Additional in-office days may be required as needed. Salary: $76,100-$84,600 Essential Functions Shape and advance UnidosUS’ higher education policy agenda while generating innovative project ideas and strategies. Lead analyses of emerging public policy issues and trends in higher education and produce policy documents, including issue briefs, regulatory comments, white papers, conference papers, and congressional testimony. Serve as an expert on higher education policy, with a focus on policy solutions related to accountability and improving the return on investment in postsecondary education. Represent UnidosUS in high-visibility forums, conferences, and meetings, including meetings with congressional staff, policymakers, issue experts, stakeholders, and the media. Organize and execute policy forums, roundtables, and events to inform and elevate UnidosUS’ higher education policy agenda. Lead and participate in coalitions of experts and advocates on higher education. Carry out communications activities to build support for UnidosUS’ education priorities; provide consistent, timely updates to Affiliates, partners, and funders. Manage their own projects from conception to completion, tracking deliverables, deadlines, and compliance requirements, and supporting clear reporting to funders. Perform other duties as assigned. Required Qualifications Bachelor’s degree. 3-5 years of policy experience in higher education. Strong knowledge base of higher education policy and experience with policy development and advocacy. Knowledge of and professional networks within relevant agencies, congressional offices, and/or stakeholder organizations. A proven track record of conducting rigorous policy analysis and translating findings into clear, actionable policy recommendations. Ability to work collaboratively across research, communications, and external partners in a fast-paced environment. Excellent analytical and writing skills. Displayed commitment to social justice and UnidosUS’s mission. Flexibility for occasional travel(less than 10%). Demonstrated experience with and knowledge of the Latino community. Preferred Qualifications Master’s degree in a related field. Experience conducting quantitative analysis and familiarity using higher education datasets. Experience communicating policy ideas in public settings such as coalition meetings, congressional hearings and briefings, major conferences, and media interviews. Bilingual ability (English and Spanish), written and verbal. Skills and Abilities Steadfast commitment to UnidosUS mission, vision, and values (Excellence, Respeto, Accountability). Commitment to supporting and advancing the needs of the U. S. Latino community, Latino non-profit organizations, and the Latino market. Capacity for innovative approaches to substantive policy and advocacy strategy. Competencies Analytical--Synthesizes complex or diverse information; Collects and researches data; Uses intuition and experience to complement data; Designs workflows and procedures. Problem Solving--Identifies and resolves problems in a timely manner; Gathers and analyzes information skillfully; Develops alternative solutions; Works well in group problem solving situations; Uses reason even when dealing with emotional topics. Project Management--Develops project plans; Coordinates projects; Communicates changes and progress; Completes projects on time and budget; Manages project team activities. Strategic Thinking--Develops strategies to achieve organizational goals; Understands organization's strengths Analyzes market and competition; Identifies external threats and opportunities; Adapts strategy to changing conditions. Innovation--Displays original thinking and creativity; Meets challenges with resourcefulness; Generates suggestions for improving work; Develops innovative approaches and ideas; Presents ideas and information in a manner that gets others' attention. Physical Demands and Work Environment Perform some repetitive motion activities. Sit for long periods of time. Frequently required to stand. Frequently required to walk. Frequently required to sit. Frequently required to utilize hand and finger dexterity. Frequently/Continually required to talk or hear. Occasionally required to lift/push light weights up to 25 pounds. Specific vision abilities required for this job include [close vision, distance vision, peripheral, depth, and ability to adjust or focus]. Utilize visual acuity to operate equipment, read technical information, and/or use a keyboard. The noise level in the work environment usually is quiet to moderately loud. COVID-19 Considerations: • UnidosUS follows CDC guidance and strongly encourages employees to stay up to date on vaccinations and practice a range of preventive measures to support their well-being and maintain a healthy work environment. The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or physical requirements. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Employment with UnidosUS is contingent upon the successful completion of a background screen. EQUAL OPPORTUNITY EMPLOYER. All qualified applicants will receive consideration without regard to race, color, national origin, marital status, religion, gender, age, disability, sexual orientation, gender identity or expression, personal appearance, family responsibilities, political affiliation, or enrollment in a college, university, technical school, or adult education.", "summaryDescription" : "Senior Policy Analyst, Higher Education at UnidosUS", "postedDate" : "2026-06-14T20:07:20.438", "createdAt" : "2026-06-14T20:07:20.438", "lastUpdated" : "2026-06-16T04:32:57.066", "ingestTimestamp" : "2026-06-14T20:07:20.438", "mongoId" : "6a2c96d274d8ee00a09908cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 76100, "salaryAnnualMax" : 84600, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25145374d8ee00a00bb2f8", "title" : "Higher Education Senior Account Manager", "company" : "AWS EMEA SARL (UK Branch)", "industry" : "Sales, Advertising, Account Management, Tech Sales, Cloud Computing", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-Senior Higher Education Account Manager in London, UK, adjusted for the tech industry and company size." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T02:25:21.703", "fingerprint" : "1f33ac929fe20624731fb3cfed821df3e478dcf9ebe02858d9b7a8143f966a1b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441189/apply", "externalId" : "1f855f2a-ebd2-4861-ad55-49913368b7d6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Senior", "professionalSkills" : [ "Account management", "Business development", "Sales" ], "hardSkillsList" : [ "Pipeline management" ], "hardSkills" : [ { "name" : "Pipeline management", "level" : "intermediate" } ], "majorSkills" : "Account management, Sales, Higher Education", "majorSkillsList" : [ "Account management", "Sales", "Higher Education" ], "coreResponsibilities" : "Promote AWS services, Develop and execute account/territory plan, Create compelling value propositions, Facilitate customer adoption, Maintain a robust projects pipeline, Work with partners, Contribute to positive customer experience", "teamCollaboration" : "Communicating and collaborating across teams; Working with partners", "domainKnowledge" : "Higher Education sector; Institutional strategies; Academic outcomes; Funding models; Research priorities; Digital transformation; Institutional decision-making; Student experience; Research computing; Hybrid learning; Operational efficiency", "domainList" : [ "higher-education-sector", "institutional-strategies", "academic-outcomes", "funding-models", "research-priorities", "digital-transformation", "institutional-decision-making", "student-experience", "research-computing", "hybrid-learning", "operational-efficiency" ], "domainSpecificKnowledge" : [ "Higher Education sector", "Institutional strategies", "Academic outcomes", "Funding models", "Research priorities", "Digital transformation", "Institutional decision-making", "Student experience", "Research computing", "Hybrid learning", "Operational efficiency" ], "toolProficiency" : [ "Salesforce", "CRM tools" ], "communicationSkills" : "Articulate technology value propositions", "qualificationsBasic" : "Experience building strategic relationships, Experience with pipeline management, 3–5 years of experience in account management, sales, or business development, Experience working with universities, colleges, or further education institutions, Managing complex, multi-stakeholder sales cycles, Navigate long, consensus-driven procurement cycles, Developing account plans aligned to institutional strategies, Articulate technology value propositions", "qualificationsPreferred" : "Understanding of the Higher Education landscape, Familiarity with institutional decision-making structures, Awareness of sector challenges", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Would you like to be part of a team focused on increasing adoption of Amazon Web Services in Higher Education? Do you have the business savvy and the technical background necessary to help establish Amazon as a key technology platform provider? As Account Manager in Higher Education, you will have the exciting opportunity to help promote the growth and shape the future of an emerging technology. Your responsibility will be to increase the market penetration of AWS in the higher education education accounts. The ideal candidate will possess both a business and technical background that enables them to engage an account at Vice-chancellor and CXO level, as well as with software developers and IT architects. He/she should also be a self-starter who is prepared to develop and execute against a territory coverage plan. Roles & Responsibilities: - Promote AWS services in a defined territory or industry vertical. - Develop and execute against a comprehensive account/territory plan. - Create & articulate compelling value propositions around AWS services. - Facilitate customer adoption. - Maintain a robust projects pipeline. - Work with partners to extend reach & promote adoption. - Contribute to positive customer experience Basic Qualifications: - Experience building strategic relationships with stakeholders, including communicating and collaborating across teams and functions - Experience with pipeline management skills to include utilization of Salesforce or other CRM tools - 3–5 years of experience in account management, sales, or business development within the Higher Education sector - Demonstrated experience working with universities, colleges, or further education institutions - Track record of managing complex, multi-stakeholder sales cycles typical of HE procurement - Ability to navigate long, consensus-driven procurement cycles with multiple stakeholders - Experience developing account plans aligned to institutional strategies (e.g., Teaching Excellence, Research Excellence Framework) - Ability to articulate technology value propositions in the context of academic outcomes Preferred Qualifications: - Understanding of the Higher Education landscape, including funding models, research priorities, and digital transformation drivers - Familiarity with institutional decision-making structures (e.g., Vice-Chancellors, Provosts, CIOs, Deans, Procurement) - Awareness of sector challenges such as student experience, research computing, hybrid learning, and operational efficiency Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Higher Education Senior Account Manager at AWS EMEA SARL (UK Branch). Skills: Account management, Sales, Higher Education. Promote AWS services. 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Master’s or PhD preferred 8+ years of experience in developer relations, cloud engineering, AI/ML development, or related technical roles Strong hands-on experience with cloud platforms (AWS, Azure, GCP, OCI, or similar) and modern cloud-native architectures Solid understanding of containerization and virtualization technologies (Docker, Kubernetes, VMware, KVM, etc.) Strong programming skills in C, C++, and Python with experience in AI/ML or GenAI-based applications Experience with deep learning, machine learning, or AI model training and deployment in production environments Excellent communication, stakeholder management, and cross-functional collaboration skills Ability to work independently in fast-paced, dynamic, and highly technical environments Benefits: Competitive compensation package with performance-based rewards Opportunity to work on world-leading AI and accelerated computing technologies High-impact role shaping global developer ecosystems and AI adoption Access to cutting-edge tools, platforms, and continuous technical learning opportunities Collaborative, innovation-driven, and highly technical work environment Exposure to global startups, ISVs, and enterprise technology leaders ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Developer Relations Manager. Skills: Developer relations, AI/ML, Cloud platforms. Develop strategies to drive adoption. 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Familiar with SQL", "qualificationsPreferred" : "Proven interest in LLM systems, Ability to navigate technical tradeoffs, Lead by example implementing AI standards, Track record of turning ideas into products", "remoteFriendly" : true, "rawDescription" : "WHY JERRY.AI http://Jerry.ai? - We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. 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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. 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To turn presentations into conversations. Through real-time interactivity and clear visualizations, we get people to participate, engage and become more productive. Transforming all those passive meetings, airless classrooms and drawn out trainings into valuable and memorable moments. We truly believe that you achieve the best results by doing things together. And that successful leaders need to adopt a curious and collaborative mindset in order to get there. So with you at Mentimeter, you’ll be a big part of the ambition to help over 1 billion people listen, learn and work better together. We are looking for someone with high energy, an entrepreneurial tempo with the main focus on commercial initiatives to drive retention and revenue growth among our Higher education Enterprise customers. Our next team member understands how to create long-term strategic relationships with customers. We’re now looking for a Customer Success Manager to join our growing Higher ed team, focusing specifically on our Higher Education customers across universities and academic institutions in EMEA. About the role As a Customer Success Manager – Higher Education, your mission is to ensure our customers gain maximum value from their investment in Mentimeter. You’ll drive product adoption, engagement, and long-term success by understanding the unique needs of educational environments and aligning them with our Enterprise solutions. You’ll collaborate closely with Relationship Managers to deliver a seamless customer experience, guiding institutions through onboarding, training, and value realization. With an understanding of the academic world’s rhythm, you’ll play a key role in adapting our success strategies to align with semester-based cycles, pedagogical goals, and diverse stakeholder groups. To deliver this outstanding experience, you’ll work cross-functionally with colleagues in Product, Marketing, and Sales. You’ll serve as a strategic partner on assigned accounts, bridging the gap between customer needs and Mentimeter’s solutions. What Makes This Role Unique Be part of a team that’s shaping the future of learning in universities around the world Help educators create more inclusive and student-centered teaching environments Join a fast-growing company where your impact and insights directly influence our approach in a key vertical Who You Are We’re looking for an experienced Customer Success Manager who is passionate about driving customer value and long-term relationships. You bring a structured, proactive, and collaborative approach, with the ability to work across multiple stakeholders and functions. While experience in the higher education sector is a plus, it’s absolutely not required. What matters most is your experience in a CSM role, along with your curiosity, adaptability, and eagerness to understand the unique challenges and opportunities of this space. If you're excited about helping educators and institutions succeed with innovative solutions—and want to be part of a team that drives growth—you’ll thrive in this role. At Mentimeter, we believe in the power of potential. If you bring the right mindset and ambition, this is a place where you can grow quickly and make a meaningful difference. Responsibilities Manage a portfolio of Enterprise customers across the higher education vertical Help your Enterprise customers develop successful onboarding, roll-out and training strategies by working closely with C-level stakeholders and key influencers in various departments/teams/regions. Partner with stakeholders to ensure they achieve maximum value from Mentimeter Collaborate with Relationship Managers to grow and retain accounts Deliver webinars, workshops, and data-driven insights to boost usage Be the customer’s voice internally—inform product, sales, and business development Monitor customer health and act proactively to drive better outcomes Contribute to a scalable, world-class Customer Success strategy What’s Not in Scope Closing new deals (done by Account Executives) Commercial ownership of existing customers (handled by Relationship Managers) Daily support tickets (covered by our Support Specialist) Support You'll Have Strong lead generation from Marketing & Product Dedicated Sales, Ops, and Enablement teams Tools like PlanHat, Salesforce, Mixpanel, Intercom & more What Mentimeter can offer At Mentimeter we can offer a diverse and inclusive work environment supported by smart and driven colleagues. We believe in continuous professional development for all of our colleagues and therefore offer access to a leadership program (including external personal coach) and relevant education to ensure that we continue to be state-of-the-art when it comes to innovating and building Mentimeter. Your place will be in a growing company with lots of career opportunities, working on a beloved product used by more than 300 million people. It’s not all about work though, we also offer a very healthy view on work-life balance. All of this comes attached with a competitive compensation and benefits package, including pension contributions. Learn more about our benefits by visiting our Benefits & Perks page AI and Hiring at Mentimeter At Mentimeter, we believe AI helps us work smarter - but it never replaces the human assessment, curiosity, and personal connection that define our culture and our hiring. We use AI as a sparring partner: to bounce ideas, bring new perspectives, support structure, and make our work more efficient. But the meaning, decisions, and interactions always come from people. AI does not screen or decide on candidates. There is no automated filtering, ranking, or decision-making in our recruitment process. Every application is reviewed by a person. Hiring teams may use AI to support their work - for example, to structure notes, prepare interview questions, or organize their thinking. AI strengthens our work, but it does not define it. At Mentimeter, we’re not building an AI-driven hiring process - we’re building a people-first culture, where technology helps us listen, learn, and grow together. Culture at Mentimeter At Mentimeter we believe in giving everyone a voice - regardless of who you are. So we build a platform that does just that. Our platform is not only our product but also our organization. A platform where people feel safe, where differences are embraced, a place where you can have fun. We strongly encourage applicants who are people of color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, and a college degree is not strictly required. In order to give everyone a voice, we need to be as diverse as our users. Learn more about our culture by visiting our Culture page. Review our Privacy Policy for more information.", "summaryDescription" : "Customer Success Manager - Higher Education at Mentimeter. Skills: Customer Success, Higher Education, Relationship management. Manage Enterprise customers. 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Your mission is to drive architecture, technical strategy, and implementation of AI agents for Toast's Team area which is part of the Fintech line of business. You will be one of the most senior technologists in line of business. The Team area is a mission-critical space on which our restaurants rely to manage their staff and optimize their labor. Beyond being on the forefront of agent development, your scope will also include enablement and leadership for how software is developed at Toast through adoption of bleeding edge spec driven development and other paradigms. A day in the life (Responsibilities) Develop and drive an architectural vision to support the ambitious goals for agents and agent development Be an active participant and an authoritative technical voice in FinTech product strategy discussions Partner with the Team Management Director of Engineering and Sr. Director of Product to successfully deliver Team agent products from design to production Work closely with other Senior Principal Engineers to further the agent patterns and ecosystem across Toast as a whole Evolve an ever more efficient way of working through agents and spread it across Toast Work directly with the product manager for the Team Agent space, collaborating to drive vision Be hands on and actively participate in development on the Team Agent Mentor and develop technical leadership across Team, and Fintech What you'll need to thrive (Requirements) 15+ years experience designing and building highly scalable, mission-critical distributed and fullstack software systems 10+ years experience building and operating SaaS products, ideally AWS hosted 1+ years experience using the latest in coding agents A strong desire to lean all in on agentic development practices Passion for building autonomous agents Demonstrated ability to drive technical architecture for a company or highly scalable line of products A desire to work not only with technologists but also product owners and business leaders Ability and desire to draw big lines and boxes on a whiteboard paired with the ability to dig in and understand the ebb and flow of what the code is doing under load Ability and desire to communicate and influence at the executive level What will help you stand out (Nonessential Skills/Nice to Haves) Experience designing agentic products Experience building systems that leverage LLMs and other ML models Experience with enterprise integration using Apache Camel Experience architecting event-driven distributed systems using Apache Pulsar Experience defining test, build and deploy strategies Solid understanding of workforce management Solid understanding of restaurant operations #LI-HYBRID #BI-Hybrid AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.", "summaryDescription" : "Senior Principal Software Engineer, AI Agents at Toast. Develop architectural vision. 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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" : "6a2c6d1a74d8ee00a091d37f", "title" : "Manager, eShop - Publisher Developer Relations", "company" : "Nintendo", "salary" : { "min" : 120900.0, "max" : 217650.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, WA", "locations" : [ "Redmond", "WA" ], "timestamp" : "2026-06-16T02:14:22.504", "fingerprint" : "3676f8ef9f18ab9ae0b88fae2b2618836f53399c261e7e9017495fbcde56ae4f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.nintendo.com/?gh_jid=4183836009", "externalId" : "4183836009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Nintendo of America About Nintendo of America: From the launch of the Nintendo Entertainment System™ more than 30 years ago, Nintendo’s mission has been to create smiles through unique entertainment experiences. Here at Nintendo of America Inc., we deliver on this mission by partnering closely with Nintendo Co., Ltd., to bring Nintendo’s iconic and cherished franchises including Mario™, Donkey Kong™, The Legend of Zelda™, Metroid™, Animal Crossing™, Pikmin™ and Splatoon™ across the Americas through our video games, hardware systems, and collaborations with partners on a range of other entertainment initiatives like feature films and theme parks. We are an equal opportunity employer offering a welcoming and inclusive environment in service to one another, our products, and the diverse consumers and communities we call home. For more information about Nintendo, please visit the company’s website at https://www.nintendo.com/. DESCRIPTION OF DUTIES Plans and aligns with leadership on strategic direction of digital operations business. Defines and ensures operational best practices to ensure quality customer experience for all digital initiatives. Leads the strategy for day-to-day games release operations for Nintendo eShop including tracking, planning, and execution. Manages and drives deliverables for content management tools with Nintendo Company Limited (NCL) counterparts and system development teams. Communicates across internal and external project team members, stakeholders and NCL. Provides overall direction and manages the team to maximize productivity, optimize workflows, and ensure timely releases. Establish and manage goals, objectives and metrics for the function and team. Develop team members to execute on their line of business independently. Develops and drives QA protocols and product release process for all content released in eShop. Manages backend and setup processes for product and feature launches. Ensures issues are identified, tracked, reported and resolved in timely manner including root cause analysis. Ensures the quality of deliverables conforms to Nintendo of America (NOA) standards (legal, tax, finance, etc.). SUMMARY OF REQUIREMENTS 6 years of digital operations experience. 1-2 years of management experience. Ability to work with, present to and influence senior leadership. Excellent English/Japanese bilingual skills (verbal and written) for bilingual positions. Experience with cross-functional teams and strategic planning processes. Strong Microsoft Office proficiency, including Excel and PowerPoint. Experience with standard analytics tools and packages, such as Google Analytics or Tableau. Video Games industry experience a plus. Bilingual abilities in Japanese is a plus Familiarity with Japanese business practices preferred Undergraduate degree in a related field, or equivalent experience. PMP certification desired. Applicants must be legally eligible to work in the United States to be considered. Visa sponsorship is not available for this role. This position is hybrid in Redmond, WA. Hybrid positions require regular onsite work following the schedule and guidelines for their division. This position is not open to fully remote status at this time. This position includes the base pay range listed below, potential for a semi-annual discretionary performance bonus, and a comprehensive benefits package that includes medical, dental, vision, 401(k), and paid time off. Pay Range: $120,900—$217,650 USD", "summaryDescription" : "Manager, eShop - Publisher Developer Relations at Nintendo", "postedDate" : "2026-06-14T20:42:10.324", "createdAt" : "2026-06-14T20:42:10.324", "lastUpdated" : "2026-06-16T02:14:22.504", "ingestTimestamp" : "2026-06-14T20:42:10.324", "mongoId" : "6a2c6d1a74d8ee00a091d37f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120900, "salaryAnnualMax" : 217650, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30559df292fd229cf20520", "title" : "Manager of Communications and Public Relations", "company" : "Dunkin’ Joy in Childhood Foundation", "industry" : "Food & Beverage", "salary" : { "min" : 77998.0, "max" : 153109.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-16T13:05:54.647", "fingerprint" : "c017d2e03e90b09b635aaaa21352ea137c0958cb3a180dfe807fa89e7f29cf00", "source" : "workday", "language" : "en", "applyUrl" : "https://inspirebrands.wd5.myworkdayjobs.com/InspireCareers/job/Boston-Support-Center/Manager-of-Communications-and-Public-Relations---Dunkin--Joy-in-Childhood-Foundation_JR40632", "externalId" : "JR40632", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "city" : "Canton", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.1584324,-71.1447732" } ], "locationText" : "Canton, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Project management", "Interpersonal skills", "Active listening", "Creative writing", "Facilitation skills", "Relationship management", "Time management", "Organizational skills" ], "hardSkillsList" : [ "Social media strategy", "Content creation", "Video development", "Speaking program development" ], "hardSkills" : [ { "name" : "Social media strategy", "level" : "intermediate" }, { "name" : "Content creation", "level" : "intermediate" }, { "name" : "Video development", "level" : "intermediate" }, { "name" : "Speaking program development", "level" : "intermediate" } ], "majorSkills" : "Communications strategy, Public relations strategy, Content management, Social media management", "majorSkillsList" : [ "Communications strategy", "Public relations strategy", "Content management", "Social media management" ], "coreResponsibilities" : "Lead creation of all internal and external communications, Help establish national and local communications strategies, Support communications strategies for national fundraising activities, Manage the Foundation website, Develop social media content plan, Oversight of a social media contractor, Support in-restaurant campaigns, Prepare internal readiness materials, Prepare external communications, Work closely with internal team, Work closely with Dunkin’ marketing and PR, Work closely with local agencies, Work closely with non-profit partners, Lead video development, Lead speaking program development, Refine existing communication methods, Refine existing communication approach, Support the Foundation’s national PR strategy, Coordinate with the Foundation’s PR agency, Liaise with local PR agencies, Plan Foundation events and celebrations, Create turnkey PR toolkits, Develop creative communications strategies, Collaborate on creation of board meeting presentations, Collaborate on creation of Annual Meeting presentations, Assist in briefing and development process, Develop opportunities for integration into brand marketing calendar, Collaborate with Dunkin’ brand marketing team, Work with the business analytics team, Develop strategic plans, Oversee social media channels, Develop social media strategy, Develop social media calendar", "teamCollaboration" : "Cross-functional teams; Foundation staff; Board members; Dunkin’ marketing; Dunkin’ PR; Partnership teams; Volunteers; Agencies; Local agencies; Non-profit partners; Regional field marketing teams; Dunkin’ PR team; Business analytics team", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Non-profit sector", "domainList" : [ "non-profit-sector" ], "domainSpecificKnowledge" : [ "Non-profit sector" ], "toolProficiency" : [ "Social media platforms" ], "communicationSkills" : "Internal communications; External communications; Board communications; Employee communications; Social media content; In-restaurant campaigns; Fundraising events; Grant programs; Marketing programs; National marketing partnerships; Community activations; PR toolkits", "documentationSkills" : "Drafting; Editing; Curating content; Internal readiness materials; External communications", "innovationCreativity" : "Identifying new, innovative ways to share stories", "problemSolvingSkills" : "Problem solve potential root causes", "qualificationsBasic" : "4 Year Degree Preferred, 5+ years relevant experience, Demonstrated experience developing internal and external communications strategies, Original writing samples required, Ability to work effectively and collaboratively as a team member, Ability to recognize escalating trends and problem solve potential root causes", "qualificationsPreferred" : "Experience in the non-profit sector, Preference is given to candidates who can work from our Canton, MA headquarters", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This position will play a key role in shaping and executing national and regional communications and public relations strategies for the Dunkin' Joy in Childhood Foundation. Reporting to and collaborating closely with the Director, this role will oversee the development, management, and distribution of communications to enhance the Foundation’s mission. This Manager role will work cross-functionally with Foundation staff, board members, as well as Dunkin’ marketing, PR, partnership teams, volunteers, and agencies to ensure consistent and effective communication to both internal and external audiences. This role will require strong project management skills, as he/she will be responsible for drafting, editing, and curating content, while also identifying new, innovative ways to share the Foundation's impactful stories. Preference is given to candidates who can work from our Canton, MA headquarters. **Responsibilities:** **Communications:** * In partnership with the team, lead the creation of all internal and external communications including the Foundation’s annual report, quarterly newsletters, as well as Board and employee communications * Help establish national and local communications strategies for the Dunkin’ Joy in Childhood Foundation with the support of the Director and national PR agency * Support communications strategies for national in-restaurant fundraising activities and campaigns * Manage the Foundation website by creating pages, designing layouts, and regularly updating content to ensure current and relevant information * Develop social media content plan and oversight of a social media contractor * Support in-restaurant campaigns, including drafting comprehensive communications plans, for Dunkin’ Iced Coffee Day, BARK partnership, and the annual month-long icon program. Includes the preparation of internal readiness materials and external communications. * Work closely with internal team, Dunkin’ marketing and PR, local agencies, and non-profit partners (hospitals, food banks, etc.) on communication efforts * Lead video development and speaking program development for fundraising events * Refine existing communication methods and approach with regional field marketing teams and PR agencies **Public Relations:** * Support the Foundation’s national PR strategy by collaborating with the Dunkin’ PR team and coordinating with the Foundation’s PR agency to ensure increased awareness of the Foundation’s mission and activities * Liaise with local PR agencies to plan Foundation events and celebrations * Create turnkey PR toolkits for local PR agency execution of Foundation marketing programs, fundraisers, Signature Program events and grant celebrations * Develop and lead creative communications strategies for the Foundation’s national signature programs and regional grant programs **Content Management: ** * Collaborate with team on the creation of quarterly Board meeting presentations and Annual Meeting presentations * Assist in the briefing and development process of all Foundation marketing programs, including content for in-store and out-of-store asset development * Develop opportunities for seamless integration of the Foundation into the brand marketing calendar * Collaborate with the Dunkin’ brand marketing team on the launch and promotion of major national marketing partnerships as well as regional fundraising and community activations * Work with the business analytics team to develop strategic plans that drive Dunkin’ goals and the Foundation mission * Oversee social media channels, including Facebook, Instagram, and LinkedIn, including strategy and calendar development **Requirements:** * 4 Year Degree Preferred * 5+ years of relevant experience strongly preferred * Demonstrated experience developing internal and external communications strategies, with a preference for experience in the non-profit sector * Original writing samples required * Demonstrated experience developing internal and external communications strategies, with a preference for experience in the non-profit sector * A self-starter with the ability to set priorities, multi-task and remain focused within a rigorous, fast-paced and quickly changing environment * Exemplary interpersonal, active listening, creative writing, transcribing, and facilitation skills * Adept in navigating and managing complex communication and public relations matters * Solid project management skills with the ability to stay on track while working on various simultaneous projects * Proven track record of successfully introducing and implementing communication programs for external or internal audiences * Working knowledge of social media best practices and ability to set a social media strategy/calendar and pivot as needed * Ability to navigate ambiguity and resolve conflicts effectively while staying open to constructive feedback for continuous performance improvement * Ability to work effectively and collaboratively as a team member with strong relationship management, time management and organizational skills * Ability to recognize escalating trends and problem solve potential root causes Salary: 77,998 - 153,109 per year The salary range above represents the low and high end of the salary range for this position. Actual placement within this range will vary based on various factors including but not limited to experience, education, training, and location. Inspire is a multi-brand restaurant company whose portfolio includes more than 33,000 Arby’s, Baskin-Robbins, Buffalo Wild Wings, Dunkin’, Jimmy John’s, and SONIC restaurants worldwide. We’re made up of some of the world’s most iconic restaurant brands, but we’re much more than just a restaurant company. We’re a team of hundreds of thousands who individually and collectively are changing the way people eat, drink, and gather around the table. We know that food is much more than a staple—it’s an experience. At Inspire, that’s our purpose: to ignite and nourish flavorful experiences.", "summaryDescription" : "Manager of Communications and Public Relations at Dunkin’ Joy in Childhood Foundation. Skills: Communications strategy, Public relations strategy, Content management, Social media management. Lead creation of all internal and external communications. Help establish national and local communications strategies", "postedDate" : "2026-06-16T03:46:03.926", "createdAt" : "2026-06-16T03:46:03.903", "lastUpdated" : "2026-06-16T13:05:54.647", "ingestTimestamp" : "2026-06-16T03:46:03.903", "mongoId" : "6a30559df292fd229cf20520", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://inspirebrands.wd5.myworkdayjobs.com/InspireCareers/job/Boston-Support-Center/Manager-of-Communications-and-Public-Relations---Dunkin--Joy-in-Childhood-Foundation_JR40632", "salaryAnnualMin" : 77998, "salaryAnnualMax" : 153109, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Social media strategy", "Content creation", "Video development", "Speaking program development", "Communications strategy", "Public relations strategy", "Content management", "Social media management", "Project management", "Interpersonal skills", "Active listening", "Creative writing", "Facilitation skills", "Relationship management", "Time management", "Organizational skills", "Non-profit sector", "Social media platforms" ], "skillCount" : 18, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307648f292fd229c017e04", "title" : "AI First Developer", "company" : "Smartcat", "industry" : "SaaS", "salary" : { "min" : 1.2E7, "max" : 1.8E7, "currency" : "AMD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior AI First Developer in the SaaS industry in Armenia, adjusted for remote work and company size." }, "location" : "Armenia - Remote", "locations" : [ "Armenia - Remote", "Costa Rica - Remote", "Georgia - Remote", "Portugal - Remote", "Serbia - Remote" ], "timestamp" : "2026-06-16T12:06:01.285", "fingerprint" : "31e62b733468f5505d1aadd8d61b6702bb64bfe6311cd1c40a1b25d131499fc6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.smartcat.com/career/?gh_jid=6000303004", "externalId" : "6000303004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Armenia", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Armenia", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "NET Core, C#, Python, Vue.js, Nuxt 3, Typescript, MongoDB, PostgreSQL, Elasticsearch, Kafka, AWS", "professionalSkills" : [ "System design", "Product development" ], "hardSkillsList" : [ "Backend development", "API development", "Performance optimization", "Scalability", "Security" ], "softSkillsList" : [ "Problem-solving", "Determination", "Feedback reception" ], "hardSkills" : [ { "name" : "Backend development", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" }, { "name" : "Security", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Determination" }, { "name" : "Feedback reception" } ], "majorSkills" : "Backend services, NET Core, C#, MongoDB", "majorSkillsList" : [ "Backend services", "NET Core", "C#", "MongoDB" ], "coreResponsibilities" : "Design backend services, Implement backend services, Develop backend services, Deploy backend services, Optimize application performance, Optimize application scalability, Optimize application security, Collaborate with product managers, Collaborate with frontend engineers, Collaborate with DevOps, Troubleshoot production issues, Resolve production issues, Participate in code reviews, Share knowledge, Continuous learning", "teamCollaboration" : "Cross-functional teams; Product managers; Frontend engineers; DevOps", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Agentic AI; Hybrid workforces; Enterprise Skill Graph; Generative AI; Human-in-the-loop workflows; Multilingual content; Content localization", "domainList" : [ "agentic-ai", "hybrid-workforces", "enterprise-skill-graph", "generative-ai", "human-in-the-loop-workflows", "multilingual-content", "content-localization" ], "domainSpecificKnowledge" : [ "Agentic AI", "Hybrid workforces", "Enterprise Skill Graph", "Generative AI", "Human-in-the-loop workflows", "Multilingual content", "Content localization" ], "toolProficiency" : [ "ELK", "EFK", "Prometheus", "Grafana" ], "documentationSkills" : "Well-documented C# code", "continuousLearning" : "Continuous learning", "innovationCreativity" : "AI innovation", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Solve real-world customer challenges; Ensure seamless integration of services", "qualificationsBasic" : "8+ years Software Engineer, 3+ years .NET, 3+ years C#, 2+ years product companies (SaaS), Upper-intermediate English proficiency", "qualificationsPreferred" : "Experience with Unit tests, Experience with E2E tests, Experience with MongoDB", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Mission As a Senior Backend Engineer, you'll be at the forefront of enhancing our platform's capabilities. You'll design and implement scalable, high-performance backend services that power critical features for our growing client base. Outcomes Design, develop, and deploy backend services and APIs that solve real-world customer challenges Optimize application performance, scalability, and security Collaborate with product managers, frontend engineers, and DevOps to ensure seamless integration of services Troubleshoot and resolve production issues efficiently Actively participate in code reviews, knowledge sharing, and continuous learning Requirements 8+ years of proven professional experience as a Software Engineer, with at least 3 years in .NET and C# 2+ years of experience in product companies (SaaS) Passion and strong skill for writing clean, maintainable, and testable code and well-documented C# code Experience with writing and maintaining Unit tests and E2E tests Advanced experience with MongoDB Upper-intermediate or higher English proficiency (written and spoken) Strong problem-solving skills and a growth mindset Readiness to thrive in a fast-paced startup environment with extreme focus, a strong sense of ownership, and determination Openness to constructive feedback and value the ideas and opinions of others Our technologies Backend: .NET Core (C#), Python Frontend: Vue.js 2/3, Nuxt 3, Typescript Databases: MongoDB, PostgreSQL, Elasticsearch Messaging Queue: Kafka Cloud Provider: Amazon AWS Monitoring & Logging: ELK (EFK), Prometheus, Grafana Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.", "summaryDescription" : "AI First Developer at Smartcat. Skills: Backend services, NET Core, C#, MongoDB. Design backend services. Implement backend services", "postedDate" : "2026-06-16T01:18:23.334", "createdAt" : "2026-06-16T01:18:23.334", "lastUpdated" : "2026-06-16T12:06:01.285", "ingestTimestamp" : "2026-06-16T01:18:23.334", "mongoId" : "6a307648f292fd229c017e04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Backend development", "API development", "Performance optimization", "Scalability", "Security", "Problem-solving", "Determination", "Feedback reception", "Backend services", "NET Core", "C#", "MongoDB", "System design", "Product development", "Agile", "Agentic AI", "Hybrid workforces", "Enterprise Skill Graph", "Generative AI", "Human-in-the-loop workflows", "Multilingual content", "Content localization", "ELK", "EFK", "Prometheus", "Grafana" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c772f74d8ee00a093bf7b", "title" : "Program Manager, Developer Relations, India", "company" : "Vultr", "industry" : "Marketing", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Program Manager in the Technology industry in India, adjusted for a remote role and manager experience." }, "location" : "Remote - India", "locations" : [ "Remote - India" ], "timestamp" : "2026-06-16T01:28:36.387", "fingerprint" : "5099d40285959c9f524bb618aeb1a5c7437eb81c6944e7a3b94f3bae54456411", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/vultr/d192d5f2-a7e3-4de5-936b-44946bea8efc/application", "externalId" : "d192d5f2-a7e3-4de5-936b-44946bea8efc", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "remote" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 4, "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "WHO WE ARE Vultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. With 33 global cloud data center locations, Vultr is trusted by hundreds of thousands of active customers across 185 countries for its flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions. In December 2024 Vultr announced an equity financing at a $3.5 billion valuation. Founded by David Aninowsky and self-funded for over a decade, Vultr has grown to become the world’s largest privately-held cloud infrastructure company. VULTR CARES - Medical Insurance stipend paid annually - Professional Development Reimbursement - 9 Company-Paid Holidays - Generous Leave Policy + 1 month paid sabbatical every 5 years + Anniversary Bonus each year - First year remote office setup + reimbursement per quarter each subsequent year for new equipment - Internet reimbursement - Fitness membership reimbursement - Company paid Wellable subscription JOIN VULTR Vultr is seeking a highly skilled and experienced Program Manager, Developer Relations to lead strategic ecosystem initiatives, developer programs, and cross-functional partnerships that support Vultr’s growth within the cloud and open source ecosystem. The ideal candidate is a strong program operator with experience managing partnerships, community initiatives, and developer-focused programs while driving collaboration across technical, marketing, and business teams. This is a highly visible role in a high-growth technology company that requires strong organizational skills, stakeholder management, and the ability to execute scalable programs from strategy to launch. This is your opportunity to help shape Vultr’s developer ecosystem initiatives and contribute to the future of cloud infrastructure and community-driven growth. WHAT TO EXPECT: - Lead and manage strategic Developer Relations and ecosystem programs across open source, cloud-native, and developer communities - Build and maintain partnerships with developers, communities, technology partners, and industry stakeholders - Drive cross-functional initiatives involving Developer Relations, Marketing, Technical, Community, Product, and Events teams - Manage end-to-end program execution including planning, onboarding, activation, communications, and reporting - Coordinate content, campaigns, technical initiatives, community programs, and partner activations to drive developer engagement - Develop scalable operational processes, workflows, documentation, and reporting systems for program success - Define and track KPIs, program health metrics, timelines, and stakeholder outcomes across multiple initiatives - Represent Vultr at conferences, community events, ecosystem initiatives, and partner engagements OUR NEW TEAM MEMBER WILL NEED: - Strong program management and Developer Relations experience within technology, cloud, SaaS, or developer-focused organizations - Experience managing cross-functional programs, partnerships, community initiatives, or ecosystem projects - Excellent organizational, communication, and stakeholder management skills - Ability to manage multiple projects simultaneously in fast-paced, high-growth environments - Experience working with technical teams, developer communities, or open source ecosystems - Strong operational mindset with experience building scalable processes and execution frameworks - Data-driven approach to measuring program performance, engagement, and business impact - Self-motivated, collaborative, and adaptable with a passion for developer ecosystems and community-led growth. EXPERIENCE - Candidate with 3 -4 years of relevant experience are preferred INCLUSION & PRIVACY We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. We welcome applications from individuals of all backgrounds and experiences, and we prohibit discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status under applicable laws. Vultr will consider qualified applicants with arrest or conviction records in accordance with applicable laws and will not conduct a background check until after an offer of employment has been extended and accepted. We also take your privacy seriously. We handle personal information responsibly and follow applicable laws, including U.S. privacy rules and India’s Digital Personal Data Protection Act, 2023. Your data is used only for legitimate business purposes and is protected with proper security measures. Where allowed by law, applicants may request details about the data we collect, access or delete their information, withdraw consent for its use, and opt out of nonessential communications. For more details, please see our Privacy Policy https://www.vultr.com/legal/privacy/.", "summaryDescription" : "Program Manager, Developer Relations, India at Vultr", "createdAt" : "2026-06-14T18:14:59.616", "lastUpdated" : "2026-06-16T01:28:36.387", "ingestTimestamp" : "2026-06-14T18:14:59.616", "mongoId" : "6a2c772f74d8ee00a093bf7b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cc3ad74d8ee00a0a0a20d", "title" : "AWS Account Manager, Higher Education", "company" : "Amazon Web Services, Inc.", "industry" : "Sales, Advertising, Account Management, Tech Sales, Cloud Computing", "salary" : { "min" : 142800.0, "max" : 193200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Irvine, California, USA", "locations" : [ "Irvine, California, USA" ], "timestamp" : "2026-06-15T09:23:46.916", "fingerprint" : "da585bc591abf2cf533b8d4610df7eeffadf9cb0eb613a12089459c1e9edc0f1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10447911/apply", "externalId" : "92cc91a0-1882-4ed8-ac73-d199b28af9bb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS", "professionalSkills" : [ "Sales processes", "Client relationships", "Revenue generation", "Deal closure", "Territory management", "Value propositions" ], "hardSkillsList" : [ "Sales experience", "Revenue targets", "Sales pipeline" ], "hardSkills" : [ { "name" : "Sales experience", "level" : "intermediate" }, { "name" : "Revenue targets", "level" : "intermediate" }, { "name" : "Sales pipeline", "level" : "intermediate" } ], "majorSkills" : "Account management, Higher education sales, Revenue growth", "majorSkillsList" : [ "Account management", "Higher education sales", "Revenue growth" ], "coreResponsibilities" : "Drive revenue, Increase market share, Meet quarterly revenue targets, Develop territory growth plan, Manage accounts strategically, Create compelling value propositions, Accelerate customer adoption, Develop sales engagements, Achieve customer outcomes, Maintain sales pipeline, Work with partners, Extend reach, Drive adoption, Ensure customer satisfaction, Increase adoption of AWS, Develop existing customers, Drive revenue adoption, Drive market saturation", "teamCollaboration" : "Work with partners; Team environment", "projectManagementSkills" : [ "Territory coverage plan" ], "domainKnowledge" : "Higher education market; Cloud adoption", "domainList" : [ "higher-education-market", "cloud-adoption" ], "domainSpecificKnowledge" : [ "Higher education market", "Cloud adoption" ], "communicationSkills" : "Articulate value propositions", "problemSolvingSkills" : "Creative thinker", "specialRequirements" : "25% travel", "outcomesObjectives" : "Overachieve quota; Deliver on quarterly revenue targets; Grow AWS footprint; Achieve customer outcomes", "qualificationsBasic" : "Overachieving quota, Territory coverage plan, Quarterly revenue targets, Sales and technical background, Drive engagement at CXO level, Engage with software developers, Engage with IT architects", "qualificationsPreferred" : "Enterprise Sales Representative experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Would you like to be part of a team focused on increasing the adoption of Amazon Web Services in the higher education market? Do you have the business savvy and the technical background necessary to help establish Amazon as a key technology platform? Amazon Web Services is expanding in the U.S. Public Sector market and Amazon offers a creative, fast paced, entrepreneurial work environment where you’ll be at the center of Amazon innovation. We are looking for an experienced Enterprise Sales Representative to focus on Higher Education customer accounts throughout Southern California. You have sales experience with a terrific reputation for overachieving quota while focusing on the customer. You are a self-starter who is prepared to develop and execute against a territory coverage plan and consistently deliver on quarterly revenue targets. You have both a sales and technical background that enables you to drive an engagement at the CXO level as well as with software developers and IT architects. You are an exceptionally strong and creative thinker who thrives in a team environment and embraces all aspects of selling. You enjoy working in a fast-paced, dynamic environment. Key job responsibilities Utilize your technical sales background to strategically engage at the CXO level as well as with software developers and IT architects. Develop and execute against a fast moving territory coverage plan and consistently deliver on quarterly revenue targets. Seeking a self-starter to drive business outcomes for our customers. - Drive revenue and increase market share in a defined set of accounts. - Meet or exceed quarterly revenue targets. - Develop and execute a plan to grow the AWS footprint within your set of accounts. - Manage numerous accounts concurrently & strategically. - Create & articulate compelling value propositions around AWS services. - Accelerate customer adoption through well-developed sales engagements and successful go-to-market strategy to achieve customer outcomes. - Maintain a robust sales pipeline. - Work with partners to extend reach & drive adoption. - Ensure customer satisfaction. A day in the life Be a critical part of a team focused on increasing adoption of Amazon Web Services by developing a set of existing customers. As a Commercial Account Manager at AWS, you will have the exciting opportunity to directly impact the growth and shape of emerging technologies. Your responsibilities will include driving revenue, adoption, and market saturation in our largest and fastest growing mid & small market accounts. Early and continued cloud adoption is critical in enabling these customers to innovate at scale. About the team AWS Global Sales: This team is part of the AWS Global Sales org. Driving adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. 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: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Inclusive Team Culture: AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth: We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - 7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience - 10+ years of business development, partner development, sales or alliances management experience Preferred Qualifications: - 6+ years of building profitable partner ecosystems experience - 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments, restricted stock units (RSUs), and sales incentives. Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Irvine - 142,800.00 - 193,200.00 USD annually USA, CA, San Diego - 142,800.00 - 193,200.00 USD annually USA, CA, Santa Monica - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "AWS Account Manager, Higher Education at Amazon Web Services, Inc.. Skills: Account management, Higher education sales, Revenue growth. Drive revenue. 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We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Smartcat was founded in 2016 to help global enterprises create and manage their multilingual content. Today, Smartcat is the essential language AI platform for the global enterprise. Our client-tailored language AI turns content in any format into any language, from documents to videos to complex websites and software, making global operations simple for any corporate team. It also allows any user to create new content by tapping into a multilingual enterprise library. More than 1,000 global companies including 25% of the Fortune 500 trust Smartcat to communicate their innovations and ideas all over the world. Smartcat’s vision is to realise a world where there is equal access to innovations and ideas. Smartcat is backed by Matrix Partners, FJ Labs, and other leading VC firms focusing on SaaS, marketplaces and AI. You might recognize names like HubSpot, Zendesk, Uber, Stripe, RigUp, and Quora in their portfolios. Despite the economic recession, Smartcat is growing at 150% YoY. It's well-funded and capital efficient, providing a unique combination of a hyper-growth environment with downside protection and the ability to think and plan long-term. Senior Backend Developer Mission: Your mission will be to maintain and improve existing functionality and develop new application parts. This position will be remote-based in Europe. Ideal locations include: Serbia, Armenia, Bulgaria, Georgia and Romania. Outcomes Deliver value for our customers Improve the stability and observability of our product Develop parts of the application: design, refactoring, fixing bugs, and writing tests to maintain the quality and functionality of the product and libraries Review code and share knowledge with the team Requirements 5+ years of experience in .NET development and test coverage Knowledge of OOP principles and design patterns Experience with Database concurrency Upper-Intermediate English: both written and spoken A data-driven approach. Ability to justify decisions using concrete metrics Integrity and full commitment Growth mindset Readiness to work in an intense startup environment requiring extreme focus, a strong sense of ownership, and determination to break through Openness to constructive feedback and the opinions and ideas of others Our technologies PL: .NET Core DB: MongoDB, PostgreSQL Hosting in the AWS Elasticsearch cluster, indexes for several billion documents ELK (EFK) for logging, VM, Prometheus and Grafana for metrics and monitoring Why joining Smartcat might be your best move so far Fully remote team We are a global team of 200+ enthusiastic people spread across 30 countries. We have been fully remote since 2020, with some locations populated with more Smartcatters than others, such as Boston, NYC, SF, the Bay Area, London, Lisbon, and Yerevan. Innovating the $50 Billion-old industry Smartcat’s innovative business model taps into this $50B language translation industry with a platform allowing enterprise end users to stop using traditional outsourcing and enjoy easy-to-use AI-powered SaaS that delivers immediate high-quality results at a fraction of the cost. High impact role enabling innovation and inclusion in organizations You will enjoy building with us. You will drive changes in how an old-fashioned global language industry operates while improving how hundreds of thousands of people work and millions of people exchange knowledge and ideas worldwide. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series B startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 150% YoY, thanks to our strong product-market fit and high-performing team. Smartcat Culture: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and clear, honest and direct communication. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to diversity and inclusion is steadfast, and we stand firmly against discrimination and harassment. Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.", "summaryDescription" : "AI First Developer at Smartcat. Skills: NET Core, Database concurrency, System design. Maintain existing functionality. 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We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM We are building the future of software development — AI-First is the new standard. You won’t be “experimenting”; you’ll be delivering. Fast. Smart. Relentless. Join the core team that will prove AI-driven engineering is the only way forward. If you love challenges, own your outcomes, and are obsessed with delivery, you’ll thrive here. MISSION As an AI-First Engineer, your mission is to deliver production-quality features at a speed and scale that traditional teams cannot match. You will apply AI aggressively across every stage of the development lifecycle — from requirements and design to coding, testing, and release — and establish a new engineering benchmark for the company. OUTCOMES Consistently deliver high-quality, production-grade features faster than traditional teams. Build and optimize AI-first workflows that integrate AI across all development stages. Raise the bar for speed, quality, and ownership in product delivery. Be a core contributor to the new engineering culture built on AI-First principles. HOW YOU’LL RAMP By Day 30: Deeply understand our AWS, .NET, Python, MongoDB tech stack and delivery model. Start shipping real features using AI at every stage: coding, testing, documenting, releasing. Contribute to improving workflows for even faster delivery. By Day 60: Independently own the full lifecycle of feature delivery through AI-first methods. Identify and drive improvements in velocity, automation, and team efficiency. Partner with Product and Tech Leads to aggressively accelerate time-to-market. By Day 90: Deliver features faster and with higher quality than baseline teams. Actively mentor others on using AI as a multiplier across development. Become a key driver of the AI-First engineering standard inside the company. WHAT YOU’VE ACCOMPLISHED: Proven track record of delivering production-grade products using AI-driven approach. Mastery in using AI tools (Copilot/Cursor/WindSurf (etc, you choose), GPT APIs, LLMs) across the entire development lifecycle — design, code generation, testing, documentation, and release. Strong technical foundation in AWS, .NET, Python, and MongoDB. Obsessed with delivery: you ship, you improve, you own the outcome. Comfortable moving fast, taking ownership, and constantly pushing for better, faster, smarter execution. Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. 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with Research Account Managers, Solution Architects, Product, Engineering, and Business Development teams; Represent researcher needs internally to product roadmaps, developer programs, education, and platform strategy teams", "domainKnowledge" : "Foundational AI Research; Higher Education AI Research; Large Language Models (LLMs); Multimodal AI; Reasoning; AI Systems; AI Model Development Lifecycle; Scalable AI Systems", "domainList" : [ "foundational-ai-research", "higher-education-ai-research", "large-language-models-llms", "multimodal-ai", "reasoning", "ai-systems", "ai-model-development-lifecycle", "scalable-ai-systems" ], "domainSpecificKnowledge" : [ "Foundational AI Research", "Higher Education AI Research", "Large Language Models (LLMs)", "Multimodal AI", "Reasoning", "AI Systems", "AI Model Development Lifecycle", "Scalable AI Systems" ], "toolProficiency" : [ "PyTorch", "JAX", "Distributed Training Frameworks", "Inference Systems", "Model Serving Platforms", "Evaluation Pipelines", "GPU-accelerated workflows", "CUDA", "CUDA-X libraries", "TensorRT-LLM", "Triton Inference Server", "NIM", "NeMo", "Megatron", "Transformer Engine", "NCCL", "DGX", "NVLink", "InfiniBand", "NVIDIA AI Enterprise" ], "innovationCreativity" : "Push the boundaries of model performance, efficiency, and scale; Identify emerging trends and future platform opportunities", "problemSolvingSkills" : "Address technical blockers; Solve frontier research challenges", "outcomesObjectives" : "Advance model performance, efficiency, and scale; Support researcher adoption and long-term engagement; Drive collaboration and platform adoption", "qualificationsBasic" : "PhD in Computer Science, AI, Machine Learning, Applied Mathematics, Electrical Engineering, or a related technical field, or equivalent research depth, 5+ years of experience, Deep expertise in foundational AI, including LLMs, multimodal models, generative AI, reasoning, post-training, model evaluation, or AI systems research, Understanding of modern AI model development across the lifecycle, including pretraining, fine-tuning, post-training, optimization, evaluation, deployment, and model serving, Hands-on experience with AI research stacks such as PyTorch, JAX, distributed training frameworks, inference systems, model serving platforms, evaluation pipelines, and GPU-accelerated workflows, Technical fluency in scalable AI systems, including distributed training, parallelism strategies, checkpointing, memory optimization, batching, scheduling, latency, throughput, and cost-performance tradeoffs, Familiarity with methods that improve model efficiency and performance, such as quantization, distillation, sparsity, speculative decoding, attention optimization, synthetic data generation, RLHF/RLAIF, and preference optimization, Ability to engage top academic labs on frontier research challenges, including scaling behavior, compute efficiency, model quality, benchmark methodology, reproducibility, reliability, and research impact, Demonstrated research credibility through publications, open-source contributions, academic collaborations, technical leadership, or direct work on frontier AI systems", "qualificationsPreferred" : "Experience with NVIDIA AI platforms, including CUDA, CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NIM, NeMo, Megatron, Transformer Engine, NCCL, DGX, NVLink, InfiniBand, or NVIDIA AI Enterprise, Established relationships with leading AI labs, academic institutions, research institutes, benchmark communities, or major open-source AI projects, Track record translating frontier AI research into demos, tutorials, reference architectures, workshops, technical blogs, or developer enablement programs, Experience presenting at venues such as NeurIPS, ICML, ICLR, CVPR, AAAI, or related research workshops, Ability to identify emerging research trends and convert them into strategic opportunities for collaboration, platform adoption, and ecosystem growth", "remoteFriendly" : true, "rawDescription" : "We are seeking a mission-driven Developer Relations Manager focused on Foundational AI Research to engage leading academic labs advancing the next generation of AI models, systems, and methods. In this role, you will work directly with top researchers building frontier AI systems, including large language models, multimodal models, reasoning systems, training methods, inference systems, model serving, and scalable AI infrastructure. You will help researchers adopt NVIDIA’s AI and accelerated computing platforms to push the boundaries of model performance, efficiency, and scale. The ideal candidate brings deep technical credibility in foundational AI, strong research engagement experience, and hands-on expertise in either AI inference research or AI training research. **What you 'll be doing:** * Serve as a trusted technical advisor to leading academic AI labs working on foundation models, LLMs, multimodal AI, reasoning, training, inference, and AI systems. * Identify high-impact research workloads where NVIDIA software, systems, and accelerated computing platforms can advance model performance, scale, and efficiency. * Engage principal investigators, postdocs, graduate researchers, and lab leadership to understand research goals, technical blockers, infrastructure needs, and collaboration opportunities. * Track frontier AI research across papers, benchmarks, open-source projects, and academic labs to identify emerging trends and future platform opportunities. * Partner with Research Account Managers, Solution Architects, Product, Engineering, and Business Development teams to support researcher adoption and long-term engagement. * Represent researcher needs internally by translating academic feedback into actionable insights for product roadmaps, developer programs, education, and platform strategy. * Support NVIDIA participation in major AI, ML, and systems research venues through technical content, workshops, university engagements, and lab-facing programs. **What we need to see:** * PhD in Computer Science, AI, Machine Learning, Applied Mathematics, Electrical Engineering, or a related technical field, or equivalent research depth. * 5+ years of experience * Deep expertise in foundational AI, including LLMs, multimodal models, generative AI, reasoning, post-training, model evaluation, or AI systems research. * Strong understanding of modern AI model development across the lifecycle, including pretraining, fine-tuning, post-training, optimization, evaluation, deployment, and model serving. * Hands-on experience with AI research stacks such as PyTorch, JAX, distributed training frameworks, inference systems, model serving platforms, evaluation pipelines, and GPU-accelerated workflows. * Technical fluency in scalable AI systems, including distributed training, parallelism strategies, checkpointing, memory optimization, batching, scheduling, latency, throughput, and cost-performance tradeoffs. * Familiarity with methods that improve model efficiency and performance, such as quantization, distillation, sparsity, speculative decoding, attention optimization, synthetic data generation, RLHF/RLAIF, and preference optimization. * Ability to engage top academic labs on frontier research challenges, including scaling behavior, compute efficiency, model quality, benchmark methodology, reproducibility, reliability, and research impact. * Demonstrated research credibility through publications, open-source contributions, academic collaborations, technical leadership, or direct work on frontier AI systems. **Ways to stand out from the crowd:** * Experience with NVIDIA AI platforms, including CUDA, CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NIM, NeMo, Megatron, Transformer Engine, NCCL, DGX, NVLink, InfiniBand, or NVIDIA AI Enterprise. * Established relationships with leading AI labs, academic institutions, research institutes, benchmark communities, or major open-source AI projects. * Track record translating frontier AI research into demos, tutorials, reference architectures, workshops, technical blogs, or developer enablement programs. * Experience presenting at venues such as NeurIPS, ICML, ICLR, CVPR, AAAI , or related research workshops. * Ability to identify emerging research trends and convert them into strategic opportunities for collaboration, platform adoption, and ecosystem growth. NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA is committed to foster a diverse work environment and proud to be an equal opportunity employer! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/). Applications for this job will be accepted at least until May 23, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.", "summaryDescription" : "Developer Relations Manager, Higher Education and Research - AI Agents at NVIDIA. Skills: Foundational AI Expertise, AI Research Engagement, AI Inference or Training Research, Scalable AI Systems, NVIDIA AI Platforms. Serve as a trusted technical advisor to leading academic AI labs. 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Fully remote team", "domainKnowledge" : "Agentic AI; Enterprise Skill Graph; Generative AI; Human-in-the-loop workflows; Multilingual content; Language AI platform", "domainList" : [ "agentic-ai", "enterprise-skill-graph", "generative-ai", "human-in-the-loop-workflows", "multilingual-content", "language-ai-platform" ], "domainSpecificKnowledge" : [ "Agentic AI", "Enterprise Skill Graph", "Generative AI", "Human-in-the-loop workflows", "Multilingual content", "Language AI platform" ], "toolProficiency" : [ "AWS", "Elasticsearch", "ELK", "EFK", "Prometheus", "Grafana" ], "innovationCreativity" : "AI innovation", "specialRequirements" : "Intense startup environment", "outcomesObjectives" : "Deliver value for customers; Improve stability; Improve observability", "qualificationsBasic" : "NET development experience, Test coverage experience, OOP principles knowledge, Design patterns knowledge, Database concurrency experience, Upper-Intermediate English", "qualificationsPreferred" : "AWS hosting experience, Elasticsearch cluster experience, ELK (EFK) experience, Prometheus and Grafana experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Smartcat was founded in 2016 to help global enterprises create and manage their multilingual content. Today, Smartcat is the essential language AI platform for the global enterprise. Our client-tailored language AI turns content in any format into any language, from documents to videos to complex websites and software, making global operations simple for any corporate team. It also allows any user to create new content by tapping into a multilingual enterprise library. More than 1,000 global companies including 25% of the Fortune 500 trust Smartcat to communicate their innovations and ideas all over the world. Smartcat’s vision is to realise a world where there is equal access to innovations and ideas. Smartcat is backed by Matrix Partners, FJ Labs, and other leading VC firms focusing on SaaS, marketplaces and AI. You might recognize names like HubSpot, Zendesk, Uber, Stripe, RigUp, and Quora in their portfolios. Despite the economic recession, Smartcat is growing at 150% YoY. It's well-funded and capital efficient, providing a unique combination of a hyper-growth environment with downside protection and the ability to think and plan long-term. Mission Your mission will be to maintain and improve existing functionality and develop new application parts. This position will be remote-based in Europe. Ideal locations include: Serbia, Armenia, Bulgaria, Georgia and Romania. Outcomes Deliver value for our customers Improve the stability and observability of our product Develop parts of the application: design, refactoring, fixing bugs, and writing tests to maintain the quality and functionality of the product and libraries Review code and share knowledge with the team Requirements Experience in .NET development and test coverage Knowledge of OOP principles and design patterns Experience with Database concurrency Upper-Intermediate English: both written and spoken A data-driven approach. Ability to justify decisions using concrete metrics Integrity and full commitment Growth mindset Readiness to work in an intense startup environment requiring extreme focus, a strong sense of ownership, and determination to break through Openness to constructive feedback and the opinions and ideas of others Our technologies PL: .NET Core DB: MongoDB, PostgreSQL Hosting in the AWS Elasticsearch cluster, indexes for several billion documents ELK (EFK) for logging, VM, Prometheus and Grafana for metrics and monitoring Why joining Smartcat might be your best move so far Fully remote team We are a global team of 200+ enthusiastic people spread across 30 countries. We have been fully remote since 2020, with some locations populated with more Smartcatters than others, such as Boston, NYC, SF, the Bay Area, London, Lisbon, and Yerevan. Innovating the $50 Billion-old industry Smartcat’s innovative business model taps into this $50B language translation industry with a platform allowing enterprise end users to stop using traditional outsourcing and enjoy easy-to-use AI-powered SaaS that delivers immediate high-quality results at a fraction of the cost. High impact role enabling innovation and inclusion in organizations You will enjoy building with us. You will drive changes in how an old-fashioned global language industry operates while improving how hundreds of thousands of people work and millions of people exchange knowledge and ideas worldwide. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series B startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 150% YoY, thanks to our strong product-market fit and high-performing team. Smartcat Culture: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and clear, honest and direct communication. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to diversity and inclusion is steadfast, and we stand firmly against discrimination and harassment. Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. 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Austin:1411 Brazos (320TX-4000)
1411 Brazos St
Austin, 78701

" ], "timestamp" : "2026-06-15T22:56:59.191", "fingerprint" : "5f75133ba24aec7e4d1dcc96a85e398ff28a2d14c7101e16845098edb3ae68b8", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=33531", "externalId" : "33531", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Python, REST APIs, Gen AI SDKs, AWS, Google, Microsoft, Oracle", "professionalSkills" : [ "Software development", "Programming projects", "Software solutions", "Data processing", "Systems analysis" ], "hardSkillsList" : [ "AI-driven applications", "AI-powered tools", "AI models" ], "softSkillsList" : [ "Curious" ], "hardSkills" : [ { "name" : "AI-driven applications", "level" : "intermediate" }, { "name" : "AI-powered tools", "level" : "intermediate" }, { "name" : "AI models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" } ], "majorSkills" : "AI/ML, Java development, Software development", "majorSkillsList" : [ "AI/ML", "Java development", "Software development" ], "coreResponsibilities" : "Perform skilled software development work, Partner with AI Strategists to design AI tools, Develop in-house AI tools, Integrate in-house AI tools, Write clean code, Write maintainable code, Write efficient code in Java, Write efficient code in other languages, Develop REST APIs, Connect with REST APIs, Develop data pipelines, Connect with data pipelines, Develop enterprise systems, Connect with enterprise systems, Learn Gen AI SDKs, Utilize Gen AI SDKs, Learn cloud provider services, Utilize cloud provider services, Build solutions with Gen AI, Implement AI models, Fine-tune AI models, Ensure solutions adhere to agency policies, Ensure solutions adhere to data governance, Ensure solutions adhere to accessibility standards, Ensure solutions adhere to security standards, Contribute to software development lifecycle, Oversee programming projects, Analyze proposed applications, Design software solutions", "teamCollaboration" : "Partner with AI Strategists; Work as part of a team", "projectManagementSkills" : [ "Agile methodologies", "DevOps practices" ], "domainKnowledge" : "AI/ML space; Gen AI", "domainList" : [ "ai-ml-space", "gen-ai" ], "domainSpecificKnowledge" : [ "AI/ML space", "Gen AI" ], "toolProficiency" : [ "Gen AI SDKs" ], "communicationSkills" : "Communicate effectively", "continuousLearning" : "Training and development opportunities", "innovationCreativity" : "Innovative ideas", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Must be a Texas resident, Requires sponsorship for employment visa", "outcomesObjectives" : "Build next generation of AI-powered tools", "qualificationsBasic" : "Four years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field, Five years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field, Three or more years of full-time experience in software development, Background in Java development, Proficiency and hands-on professional experience in Java, Proficiency and hands-on professional experience in Python development, Experience with building and consuming REST APIs, Experience working with data pipelines, Proficiency in Gen AI prompting, Understanding prompt management techniques, Knowledge of Agile methodologies, Knowledge of DevOps practices, Texas resident or willing to relocate to Texas", "qualificationsPreferred" : "Bachelor’s degree in computer science, engineering, or a related field, Desire to learn about AI/ML technologies, Apply AI/ML to real-world problems, Exposure to cloud AI platforms like AWS, Azure, GCP, or OCI, Experience working in or with public sector or government agencies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: Texas Workforce Commission connects people with careers across the state. While we are based in Austin on the north lawn of the Texas State Capitol, we have offices statewide. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position is based at 1411 Brazos Street, Austin in the Information Technology Division. TWC is not considering applications from individuals who require sponsorship for an employment visa, including 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. WHO YOU ARE: A curious and collaborative developer with a strong foundation in Java development. You are excited by the opportunity to learn new technologies and apply your skills to build the next generation of AI-powered tools for public service. You communicate effectively and enjoy working as part of a team to bring innovative ideas to life. WHAT YOU WILL DO: In this role, you will partner closely with our AI Strategists to design, build, and implement new AI-driven applications and services. The ideal candidate is a strong developer eager to expand their skills into the AI/ML space. The AI Developer (Programmer IV-V) perform advanced to highly advanced (senior-level) computer programming work. Work involves overseeing programming projects, analyzing proposed applications and designing software solutions. This work is performed under minimal supervision, with opportunities for considerable latitude for the use of initiative and independent judgment while learning and growing in the role. YOU WILL BE TRUSTED TO: - Performs skilled software development work. - Partner with two AI Strategists to design, develop, and integrate in-house AI tools and solutions. - Write clean, maintainable, and efficient code in Java and other languages as needed. - Develop and connect with REST APIs, data pipelines, and enterprise systems. - Learn and utilize Gen AI SDKs and services from cloud providers (e.g., AWS, Google, Microsoft, Oracle) to build solutions. - Implement and fine-tune AI models developed in collaboration with the strategy team. - Ensure all solutions adhere to agency policies, data governance, accessibility and security standards. - Contribute to the full software development lifecycle, from initial concept to deployment and maintenance. YOU ARE A GREAT FIT WITH: - Bachelor’s degree in computer science, engineering, or a related field. - Three or more years of full-time experience in software development, with a strong background in Java. - Proficiency and hands-on professional experience in Java and Python development. - Experience with building and consuming REST APIs and working with data pipelines. - A strong desire to learn about AI/ML technologies and apply them to real-world problems. - Proficiency in Gen AI prompting and understanding prompt management techniques for improved outcomes. - Excellent problem-solving skills and the ability to work collaboratively in a team environment. - Knowledge of Agile methodologies and DevOps practices. - Any exposure to cloud AI platforms like AWS, Azure, GCP, or OCI. - Experience working in or with public sector or government agencies. YOU QUALIFY WITH: -Programmer IV: Four years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field. -Programmer V: Five years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field. -Both Levels: Relevant academic credits may be applied toward experience qualifications for this position. YOU GAIN: - A Family Friendly Certified Workplace - An opportunity to help shape the future of AI in public service - Work on impactful projects that improve services for millions of Texans - Competitive starting salary: $7,000.00 - $9,500.00/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 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_InformationTechnology.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 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" : "AI Developer at Texas Workforce Commission. Skills: AI/ML, Java development, Software development. Perform skilled software development work. Partner with AI Strategists to design AI tools", "createdAt" : "2026-06-14T19:53:51.923", "lastUpdated" : "2026-06-15T22:56:59.191", "ingestTimestamp" : "2026-06-14T19:53:51.923", "mongoId" : "69ce5df99bc74574cb671a54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "AI-driven applications", "AI-powered tools", "AI models", "Curious", "AI/ML", "Java development", "Software development", "Programming projects", "Software solutions", "Data processing", "Systems analysis", "Agile methodologies", "DevOps practices", "AI/ML space", "Gen AI", "Gen AI SDKs" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25249b74d8ee00a00e2815", "title" : "Manager, AI Agents and Platform", "company" : "Jerry.ai", "industry" : "Product", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, AI Agents and Platform in San Francisco, United States, adjusted for industry and seniority." }, "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" : "2026-06-14T20:45:33.397", "fingerprint" : "abcfe6403ab6a5c7afa2d1e621d5018a0a25889021beb4e1d59c7401ddfad859", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/37763831-a177-4d8d-9372-2c29edb6c442/application", "externalId" : "37763831-a177-4d8d-9372-2c29edb6c442", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AI, LLMs, APIs, SQL", "professionalSkills" : [ "System design", "API design", "Product management", "Roadmap development", "Platform standards" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Workflow automation", "Model capabilities" ], "softSkillsList" : [ "Leadership", "Problem-solving", "Critical thinking" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "Model capabilities", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Problem-solving" }, { "name" : "Critical thinking" } ], "majorSkills" : "AI Agents, LLM systems, Platform development", "majorSkillsList" : [ "AI Agents", "LLM systems", "Platform development" ], "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, Work with partners to evaluate models, Work with partners to deploy models, 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" : "Partner with engineers; Technical translator between engineering; Work with partners at OpenAI", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Car ownership industry; Voice models; Workflow automation", "domainList" : [ "car-ownership-industry", "voice-models", "workflow-automation" ], "domainSpecificKnowledge" : [ "Car ownership industry", "Voice models", "Workflow automation" ], "communicationSkills" : "Technical translation", "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Data-driven validation", "outcomesObjectives" : "Automate >70% inbound requests; Automate 50k+ chats per month", "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 modern LLM systems", "remoteFriendly" : true, "rawDescription" : "WHY JERRY.AI http://Jerry.ai? - We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. 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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. Lead end-to-end development for customer experiences", "postedDate" : "2026-06-11T17:38:02.080", "createdAt" : "2026-06-11T17:38:02.080", "lastUpdated" : "2026-06-13T04:15:50.622", "ingestTimestamp" : "2026-06-11T17:38:02.080", "mongoId" : "6a2a9f4074d8ee00a06a5c5b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 170000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Workflow automation", "Voice models", "Leadership", "Systems thinker", "Problem-solver", "AI Agents", "LLM systems", "Platform development", "System architecture", "API design", "Prompt strategies", "Evaluation frameworks", "Platform standards", "Roadmap planning", "Car ownership", "Computer-use agents" ], "skillCount" : 16, "jobCategory" : "product", "jobSubcategory" : "product-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2cd69a74d8ee00a0a3ea52", "title" : "Software Engineer, Developer Relations", "company" : "Vultr", "industry" : "Marketing", "location" : "Remote - India", "locations" : [ "Remote - India" ], "timestamp" : "2026-06-15T08:50:43.452", "fingerprint" : "4da1b936178453d14d549e96d183ed6cad46ae393425937773df38cc5d351e8c", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/Vultr/99d5fb07-e9e5-4d99-a66b-4bf0f1704481/application", "externalId" : "99d5fb07-e9e5-4d99-a66b-4bf0f1704481", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "remote" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 4, "experienceLevel" : "Junior", "technicalSkills" : "Next.js, JavaScript, FastAPI, Flask, APIs", "professionalSkills" : [ "Cloud infrastructure" ], "hardSkillsList" : [ "web development skills with Next.js", "Experience with FastAPI and Flask", "containerization using Docker", "Kubernetes orchestration", "technical writing and documentation abilities" ], "softSkillsList" : [ "Self-motivated approach, Collaborative mindset, Passion for developer experience, community engagement" ], "hardSkills" : [ { "name" : "web development skills with Next.js", "level" : "intermediate" }, { "name" : "Experience with FastAPI and Flask", "level" : "intermediate" }, { "name" : "containerization using Docker", "level" : "intermediate" }, { "name" : "Kubernetes orchestration", "level" : "intermediate" }, { "name" : "technical writing and documentation abilities", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Self-motivated approach, Collaborative mindset, Passion for developer experience, community engagement" } ], "majorSkills" : "Next.js, FastAPI, Flask, Docker, Kubernetes", "majorSkillsList" : [ "Next.js, FastAPI, Flask, Docker, Kubernetes" ], "coreResponsibilities" : "Develop new web applications using Next.js, FastAPI, and Flask for developer community initiatives. Maintain existing DevRel applications with Docker and Kubernetes deployments. Create technical documentation for Vultr Docs including APIs and tutorials. Document development workflows and maintenance procedures. Collaborate with engineering teams to gather requirements and deliver solutions. Engage with developer community to understand needs and incorporate feedback.", "teamCollaboration" : "Collaborate with engineering teams to gather requirements and deliver solutions. Engage with developer community to understand needs and incorporate feedback.", "toolProficiency" : [ "Next.js, FastAPI, Flask, Docker, Kubernetes" ], "documentationSkills" : "technical writing; documentation practices; developer-friendly content", "problemSolvingSkills" : "translate complex technical concepts", "outcomesObjectives" : "Enhance our developer community experience through innovative web applications and comprehensive documentation.", "qualificationsBasic" : "Candidate with 3 - 4 Years of relevant experience are preferred.", "qualificationsPreferred" : "web development skills with Next.js and modern JavaScript frameworks. Experience with FastAPI and Flask for backend development. Proficiency with containerization using Docker and Kubernetes orchestration. Excellent technical writing and documentation abilities. Ability to translate complex technical concepts into clear, developer-friendly content. Self-motivated approach to managing multiple projects and deadlines. Collaborative mindset for working with cross-functional teams. Passion for developer experience and community engagement.", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "WHO WE ARE Vultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. With 33 global cloud data center locations, Vultr is trusted by hundreds of thousands of active customers across 185 countries for its flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions. In December 2024 Vultr announced an equity financing at a $3.5 billion valuation. Founded by David Aninowsky and self-funded for over a decade, Vultr has grown to become the world’s largest privately-held cloud infrastructure company. Who We Are Vultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. With 32 cloud data center locations around the world, Vultr is trusted by hundreds of thousands of active customers across 185 countries for its flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions. Founded by David Aninowsky and self-funded for over a decade, Vultr has grown to become the world’s largest privately-held cloud infrastructure company. Vultr Cares - Medical Insurance stipend paid annually - Professional Development Reimbursement - 9 Company-Paid Holidays - Generous Leave Policy + 1 month paid sabbatical every 5 years + Anniversary Bonus each year - First year remote office setup + reimbursement per quarter each subsequent year for new equipment - Internet reimbursement - Fitness membership reimbursement - Company paid Wellable subscription JOIN VULTR Vultr is seeking a highly skilled and experienced Software Engineer, Developer Relations to enhance our developer community experience through innovative web applications and comprehensive documentation. The ideal candidate is a versatile developer with strong technical writing skills who can bridge the gap between complex cloud infrastructure and practical developer resources. This is a highly visible role in a high-growth technology company, which will require hands-on web development, meticulous documentation practices, and a passion for empowering developers. This is your opportunity to join our fast growing team and leave your mark on Vultr and the future of Cloud Infrastructure. WHAT TO EXPECT: - Develop new web applications using Next.js, FastAPI, and Flask for developer community initiatives. - Maintain existing DevRel applications with Docker and Kubernetes deployments. - Create technical documentation for Vultr Docs including APIs and tutorials. - Document development workflows and maintenance procedures. - Collaborate with engineering teams to gather requirements and deliver solutions. - Engage with developer community to understand needs and incorporate feedback. - Work in a fast-paced environment impacting thousands of developers. OUR NEW TEAM MEMBER WILL NEED: - Strong web development skills with Next.js and modern JavaScript frameworks. - Experience with FastAPI and Flask for backend development. - Proficiency with containerization using Docker and Kubernetes orchestration. - Excellent technical writing and documentation abilities. - Ability to translate complex technical concepts into clear, developer-friendly content. - Self-motivated approach to managing multiple projects and deadlines. - Collaborative mindset for working with cross-functional teams. - Passion for developer experience and community engagement. EXPERIENCE Candidate with 3 - 4 Years of relevant experience are preferred. INCLUSION & PRIVACY We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. We welcome applications from individuals of all backgrounds and experiences, and we prohibit discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status under applicable laws. Vultr will consider qualified applicants with arrest or conviction records in accordance with applicable laws and will not conduct a background check until after an offer of employment has been extended and accepted. We also take your privacy seriously. We handle personal information responsibly and follow applicable laws, including U.S. privacy rules and India’s Digital Personal Data Protection Act, 2023. Your data is used only for legitimate business purposes and is protected with proper security measures. Where allowed by law, applicants may request details about the data we collect, access or delete their information, withdraw consent for its use, and opt out of nonessential communications. For more details, please see our Privacy Policy https://www.vultr.com/legal/privacy/.", "summaryDescription" : "Software Engineer, Developer Relations at Vultr. Skills: Next.js, FastAPI, Flask, Docker, Kubernetes. Develop new web applications using Next.js, FastAPI, and Flask for developer community initiatives. Maintain existing DevRel applications with Docker and Kubernetes deployments. Create technical documentation for Vultr Docs including APIs and tutorials. Document development workflows and maintenance procedures. Collaborate with engineering teams to gather requirements and deliver solutions. Enga", "createdAt" : "2026-06-14T21:42:47.802", "lastUpdated" : "2026-06-15T08:50:43.452", "ingestTimestamp" : "2026-06-14T21:42:47.802", "mongoId" : "6a2cd69a74d8ee00a0a3ea52", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "web development skills with Next.js", "Experience with FastAPI and Flask", "containerization using Docker", "Kubernetes orchestration", "technical writing and documentation abilities", "Self-motivated approach, Collaborative mindset, Passion for developer experience, community engagement", "Next.js, FastAPI, Flask, Docker, Kubernetes", "Cloud infrastructure" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a24e70374d8ee00a0022dba", "title" : "AI Developer", "company" : "SD Solutions", "industry" : "Technology", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an AI Developer in Warsaw, Poland, adjusted for Lead seniority and the Technology industry." }, "location" : "Warsaw, PL", "locations" : [ "Warsaw", "PL", "Serbia", "Romania" ], "timestamp" : "2026-06-16T02:56:01.579", "fingerprint" : "6284217cde548adc9785f3e2d91bd31270086d7cacd7e36a2bcc587c44fb634f", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://sd-solutions.breezy.hr/p/214ce3dba1df01-nda-adtech-ai-developer", "externalId" : "214ce3dba1df01", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warsaw, Poland", "employmentType" : "FULL_TIME", "technicalSkills" : "Gen AI", "softSkillsList" : [ "Leadership", "Mentoring" ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "AI Development", "majorSkillsList" : [ "AI Development" ], "coreResponsibilities" : "Lead Gen AI teams, Mentor Gen AI teams, Develop conversational agents, Manage the team", "qualificationsBasic" : "Lead Gen AI teams, Develop conversational agents", "rawDescription" : "On behalf of NDA, AdTech, SD Solutions is looking for a talented AI Developer. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Lead and mentor two Gen AI teams in developing conversational agents. Manage the team r", "summaryDescription" : "AI Developer at SD Solutions. Skills: AI Development. Lead Gen AI teams. Mentor Gen AI teams", "createdAt" : "2026-06-14T18:41:41.054", "lastUpdated" : "2026-06-16T02:56:01.579", "ingestTimestamp" : "2026-06-14T18:41:41.054", "mongoId" : "6a24e70374d8ee00a0022dba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Leadership", "Mentoring", "AI Development" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cd69a74d8ee00a0a3ea30", "title" : "Program Manager, Developer Relations, India", "company" : "Vultr", "industry" : "Marketing", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Program Manager in the Technology industry in India, adjusted for a remote role and manager experience." }, "location" : "Remote - India", "locations" : [ "Remote - India" ], "timestamp" : "2026-06-15T08:01:39.200", "fingerprint" : "22c9006a5c1c0a5fcb106726f2ad45d44202e4adaddf7731e0731a7396c49b59", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Vultr/d192d5f2-a7e3-4de5-936b-44946bea8efc/application", "externalId" : "d192d5f2-a7e3-4de5-936b-44946bea8efc", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "remote" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 4, "experienceLevel" : "Manager", "professionalSkills" : [ "Program operation", "Stakeholder management", "Cross-functional collaboration" ], "majorSkills" : "Developer Relations, Ecosystem initiatives, Community management", "majorSkillsList" : [ "Developer Relations", "Ecosystem initiatives", "Community management" ], "coreResponsibilities" : "Lead strategic Developer Relations programs, Manage strategic Developer Relations programs, Lead ecosystem programs, Manage ecosystem programs, Build partnerships with developers, Maintain partnerships with developers, Build partnerships with communities, Maintain partnerships with communities, Build partnerships with technology partners, Maintain partnerships with technology partners, Build partnerships with industry stakeholders, Maintain partnerships with industry stakeholders, Drive cross-functional initiatives, Manage end-to-end program execution, Coordinate content, Coordinate campaigns, Coordinate technical initiatives, Coordinate community programs, Coordinate partner activations, Develop scalable operational processes, Develop workflows, Develop documentation systems, Develop reporting systems, Define KPIs, Track KPIs, Define program health metrics, Track program health metrics, Define timelines, Track timelines, Define stakeholder outcomes, Track stakeholder outcomes, Represent Vultr at conferences, Represent Vultr at community events, Represent Vultr at ecosystem initiatives, Represent Vultr at partner engagements", "teamCollaboration" : "Cross-functional teams; Technical teams; Marketing teams; Business teams; Developer Relations teams; Community teams; Product teams; Events teams", "projectManagementSkills" : [ "Program management", "End-to-end execution" ], "domainKnowledge" : "Open source; Cloud-native; Developer communities; Cloud infrastructure", "domainList" : [ "open-source", "cloud-native", "developer-communities", "cloud-infrastructure" ], "domainSpecificKnowledge" : [ "Open source", "Cloud-native", "Developer communities", "Cloud infrastructure" ], "documentationSkills" : "Documentation systems", "continuousLearning" : "Professional Development Reimbursement", "outcomesObjectives" : "Drive developer engagement", "qualificationsBasic" : "Program management experience, Developer Relations experience, Experience managing partnerships, Experience managing community initiatives, Experience managing ecosystem projects, Organizational skills, Stakeholder management skills, Ability to manage multiple projects, Experience working with technical teams, Experience working with developer communities, Experience working with open source ecosystems, Operational mindset, Experience building scalable processes, Experience building execution frameworks", "qualificationsPreferred" : "Experience in technology, Experience in cloud, Experience in SaaS, Experience in developer-focused organizations", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "WHO WE ARE Vultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. With 33 global cloud data center locations, Vultr is trusted by hundreds of thousands of active customers across 185 countries for its flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions. In December 2024 Vultr announced an equity financing at a $3.5 billion valuation. Founded by David Aninowsky and self-funded for over a decade, Vultr has grown to become the world’s largest privately-held cloud infrastructure company. VULTR CARES - Medical Insurance stipend paid annually - Professional Development Reimbursement - 9 Company-Paid Holidays - Generous Leave Policy + 1 month paid sabbatical every 5 years + Anniversary Bonus each year - First year remote office setup + reimbursement per quarter each subsequent year for new equipment - Internet reimbursement - Fitness membership reimbursement - Company paid Wellable subscription JOIN VULTR Vultr is seeking a highly skilled and experienced Program Manager, Developer Relations to lead strategic ecosystem initiatives, developer programs, and cross-functional partnerships that support Vultr’s growth within the cloud and open source ecosystem. The ideal candidate is a strong program operator with experience managing partnerships, community initiatives, and developer-focused programs while driving collaboration across technical, marketing, and business teams. This is a highly visible role in a high-growth technology company that requires strong organizational skills, stakeholder management, and the ability to execute scalable programs from strategy to launch. This is your opportunity to help shape Vultr’s developer ecosystem initiatives and contribute to the future of cloud infrastructure and community-driven growth. WHAT TO EXPECT: - Lead and manage strategic Developer Relations and ecosystem programs across open source, cloud-native, and developer communities - Build and maintain partnerships with developers, communities, technology partners, and industry stakeholders - Drive cross-functional initiatives involving Developer Relations, Marketing, Technical, Community, Product, and Events teams - Manage end-to-end program execution including planning, onboarding, activation, communications, and reporting - Coordinate content, campaigns, technical initiatives, community programs, and partner activations to drive developer engagement - Develop scalable operational processes, workflows, documentation, and reporting systems for program success - Define and track KPIs, program health metrics, timelines, and stakeholder outcomes across multiple initiatives - Represent Vultr at conferences, community events, ecosystem initiatives, and partner engagements OUR NEW TEAM MEMBER WILL NEED: - Strong program management and Developer Relations experience within technology, cloud, SaaS, or developer-focused organizations - Experience managing cross-functional programs, partnerships, community initiatives, or ecosystem projects - Excellent organizational, communication, and stakeholder management skills - Ability to manage multiple projects simultaneously in fast-paced, high-growth environments - Experience working with technical teams, developer communities, or open source ecosystems - Strong operational mindset with experience building scalable processes and execution frameworks - Data-driven approach to measuring program performance, engagement, and business impact - Self-motivated, collaborative, and adaptable with a passion for developer ecosystems and community-led growth. EXPERIENCE - Candidate with 3 -4 years of relevant experience are preferred INCLUSION & PRIVACY We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. We welcome applications from individuals of all backgrounds and experiences, and we prohibit discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status under applicable laws. Vultr will consider qualified applicants with arrest or conviction records in accordance with applicable laws and will not conduct a background check until after an offer of employment has been extended and accepted. We also take your privacy seriously. We handle personal information responsibly and follow applicable laws, including U.S. privacy rules and India’s Digital Personal Data Protection Act, 2023. Your data is used only for legitimate business purposes and is protected with proper security measures. Where allowed by law, applicants may request details about the data we collect, access or delete their information, withdraw consent for its use, and opt out of nonessential communications. For more details, please see our Privacy Policy https://www.vultr.com/legal/privacy/.", "summaryDescription" : "Program Manager, Developer Relations, India at Vultr. Skills: Developer Relations, Ecosystem initiatives, Community management. Lead strategic Developer Relations programs. Manage strategic Developer Relations programs", "createdAt" : "2026-06-13T23:57:12.121", "lastUpdated" : "2026-06-15T08:01:39.200", "ingestTimestamp" : "2026-06-13T23:57:12.121", "mongoId" : "6a2cd69a74d8ee00a0a3ea30", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Developer Relations", "Ecosystem initiatives", "Community management", "Program operation", "Stakeholder management", "Cross-functional collaboration", "Program management", "End-to-end execution", "Open source", "Cloud-native", "Developer communities", "Cloud infrastructure" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307a7bf292fd229c03c871", "title" : "Member Relations Manager", "company" : "Soho House & Co.", "industry" : "Hospitality", "salary" : { "min" : 70000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Soho House Chicago, 113-125 N Green St, Chicago, IL 60607", "locations" : [ "Soho House Chicago", "113-125 N Green St", "Chicago", "IL 60607" ], "timestamp" : "2026-06-16T11:05:08.989", "fingerprint" : "f9af7c61a2e249b2d2eac88f7d27929ac0ff1bcb62dd54cd2bfee2c2f8db12ab", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/sohohouseco/jobs/4898420101", "externalId" : "4898420101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "majorSkills" : "Sales processes, Client relationships, Revenue generation, Deal closure", "majorSkillsList" : [ "Sales processes", "Client relationships", "Revenue generation", "Deal closure" ], "coreResponsibilities" : "Ensure successful member experience, Oversee member relations, Manage relationships between members, operations, membership, and events, Provide a friendly, fun, and professional approach, Have a member facing presence on the floor, Support all departments, Rotate around the House hourly, Check on and speak to members in person, Oversee implementation of Member Recognition, Allow real-time follow through with check-in flags, Perform table touches, Make introductions", "teamCollaboration" : "Operations; Membership; Member events", "domainKnowledge" : "Soho House membership", "domainList" : [ "soho-house-membership" ], "domainSpecificKnowledge" : [ "Soho House membership" ], "toolProficiency" : [ "Open Table" ], "continuousLearning" : "Internally and externally run courses; Cookhouse & House Tonic events; Team events", "outcomesObjectives" : "Optimized member visits; Members find value and appreciation", "qualificationsBasic" : "5+ years experience, Managerial experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Scope of the Job Job Purpose: Member Relations Managers are responsible for the end to end successful experience of every member and guest who visits or stays in our Houses through the planning, outreach, welcome and engagement during each attendance. Member Relations Managers play a crucial role overseeing the relationship between members, operations, membership and member events so that members have the most optimised visit possible and continue to find value and appreciation for their Soho House membership. Their presence around the House will not only host the entire club, but also provide a friendly, fun and professional approach for all members. Key Responsibilities: In House Experience: Have a strong member facing presence on the floor to support all departments, rotating themselves around the House on an hourly basis, taking time in each area to check on and speak to members in person. Oversee and ensure the successful implementation of Member Recognition, allowing in person, real time follow through with check in flags from Reception (table touches, introductions, etc.) through to Open Table and members seated in restaurants. On the floor, support F Medical, Dental & Vision as well as Retirement fund with a 2% match Paid Time Off: Full- Time Employees have sick day's + vacation days Career Development: Soho House can progress your career domestically or internationally as well as managerially or technically Soho Impact: Empowering the Soho House Community to make positive change, through mentoring, apprenticeship, local outreach and sustainability Learning & Development: An extensive range of internally and externally run courses are available for all employees. Cookhouse & House Tonic: Celebrating our passion for food and drink. Check out our monthly calendars and get involved in trips, training's and events. Available to all. Team Events: From fitness sessions to cinema screenings and art classes, each month we hold a series of fun events which you can sign up to. Team Meal: Whilst on duty in our Houses & Restaurants you will be provided with a substantial meal free of charge. In accordance with Illinois law, the salary range for this role if filled within Chicago is listed below. The range for the position in other geographies may vary based on market differences. The actual compensation will be determined based on experience and other factors permitted by law. Pay Range $70,000—$75,000 USD", "summaryDescription" : "Member Relations Manager at Soho House & Co.. Skills: Sales processes, Client relationships, Revenue generation, Deal closure. Ensure successful member experience. Oversee member relations", "postedDate" : "2026-06-16T01:21:31.548", "createdAt" : "2026-06-16T01:21:31.548", "lastUpdated" : "2026-06-16T11:05:08.989", "ingestTimestamp" : "2026-06-16T01:21:31.548", "mongoId" : "6a307a7bf292fd229c03c871", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 70000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Sales processes", "Client relationships", "Revenue generation", "Deal closure", "Soho House membership", "Open Table" ], "skillCount" : 6, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c6a9174d8ee00a090ca86", "title" : "AI Developer", "company" : "Atlas Energy Solutions", "industry" : "Logistics", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level AI Developer in Austin, TX, adjusted for the energy industry and company size." }, "location" : "Austin, Texas, United States", "locations" : [ "Austin", "Texas", "United States" ], "timestamp" : "2026-06-15T10:34:56.304", "fingerprint" : "887d80ddb873bee6ffc760e4dd8cac85c74745cffb9fceb88097b1a0cbd5cb19", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/atlassand/jobs/8589983002", "externalId" : "8589983002", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "domainKnowledge" : "AI/ML/LLM concepts; Prompting; Embeddings; Retrieval; Cloud platforms; DevOps practices", "domainList" : [ "ai-ml-llm-concepts", "prompting", "embeddings", "retrieval", "cloud-platforms", "devops-practices" ], "domainSpecificKnowledge" : [ "AI/ML/LLM concepts", "Prompting", "Embeddings", "Retrieval", "Cloud platforms", "DevOps practices" ], "problemSolvingSkills" : "Troubleshoot issues", "specialRequirements" : "Eligible to work in U.S", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who We Are: Atlas Energy Solutions Inc. (NYSE: AESI) is a leading solutions provider to the energy industry. Atlas’ portfolio of offerings includes oilfield logistics, distributed power systems, and the largest proppant supply network in the Permian Basin. With a focus on leveraging technology, automation, and remote operations to enhance efficiencies, Atlas is centered around a core mission of improving human beings’ access to hydrocarbons that power our lives and, by doing so, maximizing value creation for our shareholders. How You Will Make an Impact: The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and maintains AI solutions across the business. Responsibilities AI-powered features and applications such as conversational interfaces, workflow automations, MCP servers, and computer vision. Connect AI solutions with Atlas internal systems, Microsoft Graph, Azure services, third-party APIs, and operational data sources. Implement testing strategies for AI behavior including prompt evaluation, regression testing, output validation, and model performance. Apply authentication patterns, data protection controls, and audit logging. Ensure responsible and compliant AI usage by reinforcing approved tools, data handling, and governance guardrails; coordinate privacy/security reviews and escalate risks and exceptions as needed. Monitor deployed solutions for performance, reliability, and cost. Respond to incidents, troubleshoot issues, and drive continuous improvement through analytics and user feedback. Minimum qualifications Bachelor’s degree (in disciplines relevant to business process improvement or technology adoption) or equivalent practical experience/training. Programming: Foundational proficiency in one general purpose programming language (e. g. Python or C#) and one front end framework (e. g. React/JavaScript) Comfort with REST APIs, JSON, DBs and basic data structures Foundations: Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through coursework, personal projects, or internship AI/ML/LLM concepts or project experience Eligible to work in the U. S. without future sponsorship. Demonstrated experience through relevant personal projects with publicly shareable artifacts (e.g., GitHub repositories, demos, technical write-ups, or case studies). Preferred qualifications Experience building LLM-powered applications and automations Exposure to cloud platforms and DevOps practices (Azure Functions, CI/CD pipelines, Git/GitHub, containers). Familiarity with Microsoft tools such as Power Platform, Copilot Studio, Microsoft Foundry, Graph APIs and collaboration platforms (e.g., Teams and SharePoint) Completion of relevant AI-focused certifications and/or accredited boot camps. What You Will Love About Us Best People and Team. Great Place to Work , Hire Vets, Top Place to Work For – Austin American Statesman Your Well-Being is a Priority. 100% covered Medical, Dental, and Vision Invest in Your Future. 401K with company match, immediate vesting Relax and Recharge. Paid time off (non-rotational roles), 15+ company paid holidays Equal Opportunity Employer Statement: Atlas Energy Solutions is an equal opportunity employer and is committed to providing equal employment opportunity to all applicants and employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, pregnancy, gender identity or expression, sexual orientation, genetic information, citizenship status, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. This commitment applies to all aspects of employment, including recruiting, hiring, training, promotion, compensation, benefits, and termination. Reasonable Accommodation Atlas Energy Solutions provides reasonable accommodations to qualified individuals with disabilities and those with pregnancy-related conditions in accordance with applicable law. Job Disclaimer This job description is not intended to be all-inclusive and may be modified at any time based on business needs.", "summaryDescription" : "AI Developer at Atlas Energy Solutions", "postedDate" : "2026-06-14T07:51:42.875", "createdAt" : "2026-06-14T07:51:42.875", "lastUpdated" : "2026-06-15T10:34:56.304", "ingestTimestamp" : "2026-06-14T07:51:42.875", "mongoId" : "6a2c6a9174d8ee00a090ca86", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "AI/ML/LLM concepts", "Prompting", "Embeddings", "Retrieval", "Cloud platforms", "DevOps practices" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f90f292fd229c05ab51", "title" : "Research Engineer, Ads AI", "company" : "Google", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Research Engineer in the Technology industry in Mountain View, CA, adjusted for Google's compensation practices." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "timestamp" : "2026-06-16T12:15:08.072", "fingerprint" : "51b15798eeb36e48b1e14faac053a9ca16cab4256a0451cd09755d43145b5d8e", "source" : "google", "language" : "en", "externalId" : "120943895402947270", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "summaryDescription" : "Research Engineer, Ads AI at Google", "postedDate" : "2026-06-16T01:50:02.451", "createdAt" : "2026-06-16T01:50:02.451", "lastUpdated" : "2026-06-16T12:15:08.072", "ingestTimestamp" : "2026-06-16T01:50:02.451", "mongoId" : "6a307f90f292fd229c05ab51", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "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. Build infrastructure layer", "createdAt" : "2026-06-14T03:56:27.772", "lastUpdated" : "2026-06-15T08:35:53.025", "ingestTimestamp" : "2026-06-14T03:56:27.772", "mongoId" : "6a2c68cf74d8ee00a0904d87", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Infrastructure provisioning", "Container orchestration", "Monitoring systems", "Incident response", "CI/CD pipelines", "Access controls", "Security best practices", "Site Reliability Engineering", "AI Infrastructure", "Platform Engineering", "MLOps", "Platform engineering", "Developer experience", "API design", "Self-service capabilities", "AI agents", "Open finance", "Crypto platforms", "Financial infrastructure", "Agentic workflows", "Model inference", "LLM-powered systems", "Terraform", "Kubernetes", "Docker", "AWS" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "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" : "6a2c6d1a74d8ee00a091d385", "title" : "Manager, Special Projects - Publisher Developer Relations", "company" : "Nintendo of America", "industry" : "Media", "salary" : { "min" : 145150.0, "max" : 261200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, WA", "locations" : [ "Redmond", "WA" ], "timestamp" : "2026-06-15T04:55:16.103", "fingerprint" : "566bb3f50054419201e427651c4536a533490791479434b398bd6e3954e0c1bb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.nintendo.com/?gh_jid=4157311009", "externalId" : "4157311009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "majorSkills" : "Publisher relations, Developer relations", "majorSkillsList" : [ "Publisher relations", "Developer relations" ], "coreResponsibilities" : "Develop and execute marketing strategies, Drive customer acquisition initiatives, Manage marketing campaigns, Track and analyze growth metrics, Build and maintain publisher relationships, Support developer relations efforts", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Video game industry", "domainList" : [ "video-game-industry" ], "domainSpecificKnowledge" : [ "Video game industry" ], "toolProficiency" : [ "Smartsheet", "Confluence" ], "specialRequirements" : "Legally eligible to work, International travel", "qualificationsBasic" : "Undergraduate degree in Marketing, Equivalent combination of education, Equivalent combination of training, Equivalent combination of business experience", "qualificationsPreferred" : "Valid passport", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Nintendo of America About Nintendo of America: From the launch of the Nintendo Entertainment System™ more than 30 years ago, Nintendo’s mission has been to create smiles through unique entertainment experiences. Here at Nintendo of America Inc., we deliver on this mission by partnering closely with Nintendo Co., Ltd., to bring Nintendo’s iconic and cherished franchises including Mario™, Donkey Kong™, The Legend of Zelda™, Metroid™, Animal Crossing™, Pikmin™ and Splatoon™ across the Americas through our video games, hardware systems, and collaborations with partners on a range of other entertainment initiatives like feature films and theme parks. We are an equal opportunity employer offering a welcoming and inclusive environment in service to one another, our products, and the diverse consumers and communities we call home. For more information about Nintendo, please visit the company’s website at https://www.nintendo.com/. The PDR (Publisher emphasis on MS Office, Tableau, Smartsheet, Confluence. A valid passport may be required for international travel. Undergraduate degree in Marketing, Advertising, Communications, a related field, or the equivalent combination of education, training, and related business experience or equivalent. Applicants must be legally eligible to work in the United States to be considered. Visa sponsorship is not available for this role. This position includes the base pay range listed below, potential for a semi-annual discretionary performance bonus, and a comprehensive benefits package that includes medical, dental, vision, 401(k), and paid time off. Pay Range: $145,150—$261,200 USD", "summaryDescription" : "Manager, Special Projects - Publisher Developer Relations at Nintendo of America. Skills: Publisher relations, Developer relations. Develop and execute marketing strategies. Drive customer acquisition initiatives", "postedDate" : "2026-06-14T03:32:47.905", "createdAt" : "2026-06-14T03:32:47.905", "lastUpdated" : "2026-06-15T04:55:16.103", "ingestTimestamp" : "2026-06-14T03:32:47.905", "mongoId" : "6a2c6d1a74d8ee00a091d385", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145150, "salaryAnnualMax" : 261200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Publisher relations", "Developer relations", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Video game industry", "Smartsheet", "Confluence" ], "skillCount" : 9, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.92 }, { "id" : "6a3079f6f292fd229c0367c3", "title" : "Senior/Staff AI Research Engineer", "company" : "Hume AI", "industry" : "Technology", "salary" : { "min" : 180000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States", "Remote", "San Jose", "California", "United States" ], "timestamp" : "2026-06-16T10:12:55.552", "fingerprint" : "0316c807b4e2300d094e4b29fd4e1cd02a1e32ee4ea30abe2cf9494ac020be04", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/humeai/jobs/4003488008", "externalId" : "4003488008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, PyTorch", "professionalSkills" : [ "System design", "Model training", "Data collection", "Data preprocessing", "Data analysis", "Inference", "Benchmarking" ], "hardSkillsList" : [ "Speech-language models", "Transformer models", "Large-scale datasets" ], "hardSkills" : [ { "name" : "Speech-language models", "level" : "intermediate" }, { "name" : "Transformer models", "level" : "intermediate" }, { "name" : "Large-scale datasets", "level" : "intermediate" } ], "majorSkills" : "AI research, Speech-language models, Model training", "majorSkillsList" : [ "AI research", "Speech-language models", "Model training" ], "coreResponsibilities" : "Build software systems, Support distributed model training, Support inference, Support benchmarking, Support data collection, Support data storage, Support data preprocessing, Support data analysis, Solve AI research problems", "teamCollaboration" : "AI research team", "domainKnowledge" : "Speech-language models; Human values in AI; Empathic AI", "domainList" : [ "speech-language-models", "human-values-in-ai", "empathic-ai" ], "domainSpecificKnowledge" : [ "Speech-language models", "Human values in AI", "Empathic AI" ], "innovationCreativity" : "R&D projects", "problemSolvingSkills" : "AI research problems", "qualificationsBasic" : "Python ecosystem expertise, Production-ready code experience, 2+ years transformer model training", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "rawDescription" : "Hume AI is seeking talented researchers and engineers interested in working with our AI research team to build state-of-the-art speech-language models (SLMs). Our new SLM training method—reinforcement learning from human expression (RLHE)—learns human preferences from behavior in millions of audio and video recordings, making SLMs superhumanly helpful, interesting, funny, eloquent, honest, and altruistic. Join us in the heart of New York City and contribute to our endeavor to ensure that AI is guided by human values, the most pivotal challenge (and opportunity) of the 21st century. About Us Hume AI is a Series B startup dedicated to building artificial intelligence that is directly optimized for human well-being. As the first company to release speech language models, we’re focused on expanding our research to encompass audio understanding models and evaluation platforms for enterprises. Our goal is to enable a future in which technology draws on an understanding of human emotional expression to better serve human goals. As part of our mission, we also conduct groundbreaking scientific research, publish in leading scientific journals like Nature, and support a non-profit, The Hume Initiative, that has released the first concrete ethical guidelines for empathic AI (www.thehumeinitiative.org). You can learn more about us on our website (https://hume.ai/) and read about us in WIRED, Forbes, and Venturebeat. About the Role We are looking for talented researchers and engineers interested in working with our team to build state-of-the-art audio models and evaluation tools. In this role, you will build out software systems that support distributed model training, inference, and benchmarking as well as massive-scale data collection, storage, preprocessing, and analysis. You will be working to solve some of today’s most exciting AI research problems at industry scale. Requirements Expertise in the Python ecosystem and popular ML libraries and tools (e. g. PyTorch) Experience writing robust and maintainable production-ready code Comfort iterating quickly on new and uncertain research directions 2+ years of experience training and/or fine-tuning transformer models with large-scale datasets of text, audio, image, and/or video data Application Note Please apply only to the position that best aligns with your qualifications. If you submit multiple applications or have applied within the past 6 months, only your initial submission will be considered. Annual Salary $180,000—$350,000 USD", "summaryDescription" : "Senior/Staff AI Research Engineer at Hume AI. Skills: AI research, Speech-language models, Model training. Build software systems. Support distributed model training", "postedDate" : "2026-06-16T01:19:33.752", "createdAt" : "2026-06-16T01:19:33.752", "lastUpdated" : "2026-06-16T10:12:55.552", "ingestTimestamp" : "2026-06-16T01:19:33.752", "mongoId" : "6a3079f6f292fd229c0367c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 350000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Speech-language models", "Transformer models", "Large-scale datasets", "AI research", "Model training", "System design", "Data collection", "Data preprocessing", "Data analysis", "Inference", "Benchmarking", "Human values in AI", "Empathic AI" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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" : "6a3079f6f292fd229c0367be", "title" : "AI Researcher", "company" : "Hume AI", "industry" : "Technology", "salary" : { "min" : 180000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States", "Remote", "San Jose", "California", "United States" ], "timestamp" : "2026-06-16T14:13:35.622", "fingerprint" : "f71a4c60e94c23187f0ef079f69aede9a9c4fe796cbb9b7e31a7d55f93fe90c4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/humeai/jobs/4775962008", "externalId" : "4775962008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, PyTorch", "professionalSkills" : [ "Model training", "Model fine-tuning", "Data collection", "Data storage", "Data preprocessing", "Data analysis", "Software systems", "Distributed model training", "Model inference", "Benchmarking" ], "hardSkillsList" : [ "Speech-language models", "Audio models" ], "hardSkills" : [ { "name" : "Speech-language models", "level" : "intermediate" }, { "name" : "Audio models", "level" : "intermediate" } ], "majorSkills" : "AI Research, Speech-Language Models, Audio Models", "majorSkillsList" : [ "AI Research", "Speech-Language Models", "Audio Models" ], "coreResponsibilities" : "Build out software systems, Support distributed model training, Support model inference, Support benchmarking, Support massive-scale data collection, Support data storage, Support data preprocessing, Support data analysis, Solve AI research problems", "teamCollaboration" : "Work with our team", "domainKnowledge" : "Human values in AI; Empathic AI; Speech-language models; Audio understanding models", "domainList" : [ "human-values-in-ai", "empathic-ai", "speech-language-models", "audio-understanding-models" ], "domainSpecificKnowledge" : [ "Human values in AI", "Empathic AI", "Speech-language models", "Audio understanding models" ], "innovationCreativity" : "R&D projects", "qualificationsBasic" : "2+ years of experience in a research role, Experience writing production-ready code, 2+ years of experience contributing to model training/fine-tuning", "qualificationsPreferred" : "PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Hume AI is seeking talented AI researchers interested in working with our team to build state-of-the-art speech-language models (SLMs). Our new SLM training method—reinforcement learning from human expression (RLHE)—learns human preferences from behavior in millions of audio and video recordings, making SLMs superhumanly helpful, interesting, funny, eloquent, honest, and altruistic. Join us in the heart of New York City and contribute to our endeavor to ensure that AI is guided by human values, the most pivotal challenge (and opportunity) of the 21st century. About Us Hume AI is a Series B startup dedicated to building artificial intelligence that is directly optimized for human well-being. As the first company to release speech language models, we’re focused on expanding our research to encompass audio understanding models and evaluation platforms for enterprises. Our goal is to enable a future in which technology draws on an understanding of human emotional expression to better serve human goals. As part of our mission, we also conduct groundbreaking scientific research, publish in leading scientific journals like Nature, and support a non-profit, The Hume Initiative, that has released the first concrete ethical guidelines for empathic AI (www.thehumeinitiative.org). You can learn more about us on our website (https://hume.ai/) and read about us in WIRED, Forbes, and Venturebeat. About the Role We are looking for talented researchers with relevant publications, 2+ years of experience in a research role in industry, and/or a proven track record of contributions to open source language, audio, or video models. (A PhD is neither necessary nor sufficient.) We're looking for someone excited to work with our team to build state-of-the-art audio models and evaluation tools. In this role, you will build out software systems that support distributed model training, inference, and benchmarking as well as massive-scale data collection, storage, preprocessing, and analysis. You will be working to solve some of today’s most exciting AI research problems at industry scale. Requirements Expertise in the Python ecosystem and popular ML libraries and tools (e. g. PyTorch) Experience writing robust and maintainable production-ready code Comfort iterating quickly on new and uncertain research directions 2+ years of experience contributing to the training and/or fine-tuning of models with large-scale datasets of text, audio, image, and/or video data (predictive or generative) Application Note Please apply only to the position that best aligns with your qualifications. If you submit multiple applications or have applied within the past 6 months, only your initial submission will be considered. Annual Salary $180,000—$350,000 USD", "summaryDescription" : "AI Researcher at Hume AI. Skills: AI Research, Speech-Language Models, Audio Models. Build out software systems. Support distributed model training", "postedDate" : "2026-06-16T01:18:53.527", "createdAt" : "2026-06-16T01:18:53.527", "lastUpdated" : "2026-06-16T14:13:35.622", "ingestTimestamp" : "2026-06-16T01:18:53.527", "mongoId" : "6a3079f6f292fd229c0367be", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 350000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Speech-language models", "Audio models", "AI Research", "Speech-Language Models", "Audio Models", "Model training", "Model fine-tuning", "Data collection", "Data storage", "Data preprocessing", "Data analysis", "Software systems", "Distributed model training", "Model inference", "Benchmarking", "Human values in AI", "Empathic AI", "Audio understanding models" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "developer relations manager higher education and research ai agents jobs", "metadata" : { "title" : "developer relations manager higher education and research ai agents" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 158343, "totalPages" : 3167, "hasNext" : true, "hasPrevious" : false } }

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