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Product Manager, Agent Development (Arabic speakin...
ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Build Enterprise-grade AI Agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. - Engage with Customers: In the role, you will engage with all levels of our customers’ businesses: - Discover and assess their requirements. - Prepare and present demonstrations of Sierra’s agent. - Address and overcome technical challenges in the business process by working with technical counterparts. - Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. - Become trusted advisors and drive strategic technical strategies for our customers. - Shape the Product Roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. WHAT YOU’LL BRING - 5-7+ years experience in product development of highly technical products. - Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. - Experience crafting and tailoring a message for potential customers, including executives. - Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments. - Degree in a technical or related field, or equivalent professional experience. EVEN BETTER... - AI-related experience (experience with product development for AI agents a plus). - Some coding experience with React, Typescript, and Go. - MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). - Past roles that interface with end customers to influence software development. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Product Manager, Agent Development - Financial Ser...
ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. ABOUT THE FINANCIAL SERVICES TEAM - Our financial services customers span systemically important banks, neobanks committed to building more delightful banking software (1 in 3 of the world's leading banks use Sierra!), insurers that provide protection for life’s most challenging moments, vertically integrated ecosystems like Rocket Companies, and more. The decisions we make impact millions of end customers and billions of dollars in economic activity. - Our financial services team partners closely with these organizations to set their AI strategies and build modern tools that carefully handle moments when a person’s private anxiety meets an institution’s procedural muscle - the instant before a family learns whether they are pre-approved for a mortgage; the claustrophobic half hour after someone notices a fraudulent charge; the frustrating experience of losing a card and needing to order a new one. - Sierra’s Financial Services team is transforming the customer experience and building technology that makes the industry more accessible, human, and affordable for everyone. WHAT YOU'LL DO - Build enterprise-grade AI agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. - Engage with customers: In the role, you will engage with all levels of our customers’ businesses: - Discover and assess their requirements. - Prepare and present demonstrations of Sierra’s agent. - Address and overcome technical challenges in the business process by working with technical counterparts. - Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. - Become trusted advisors and drive strategic technical strategies for our customers. - Shape the product roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. WHAT YOU'LL BRING - 5-10+ years experience in product development of highly technical products. - Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. - Experience in financial services, such as banking, fintech, lending, payments, insurance, mortgages, or wealth management. - A track record of taking products from ambiguous customer problems through launch and meaningful scale. - Strong technical fluency and the ability to reason about APIs, data flows, system architecture, AI systems, integrations, and failure modes. - Exceptional product judgment, including the ability to balance customer needs, speed, reliability, risk, and long-term platform leverage. - Experience working directly with enterprise customers and communicating effectively with both executives and deeply technical teams. - A builder mindset: you prototype, investigate, and work hands-on rather than relying solely on process. - Clear, structured communication, with the ability to explain complex technical and AI concepts to diverse audiences and create alignment in fast-moving, ambiguous environments. - Degree in a technical or related field, or equivalent professional experience. EVEN BETTER... - AI-related experience (experience with product development for AI agents a plus). - Some coding experience with React, Typescript, and Go. - MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). - Past roles that interface with end customers to influence software development. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Product Manager, Agent Development
ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Build enterprise-grade AI agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. - Engage with customers: In the role, you will engage with all levels of our customers’ businesses: - Discover and assess their requirements. - Prepare and present demonstrations of Sierra’s agent. - Address and overcome technical challenges in the business process by working with technical counterparts. - Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. - Become trusted advisors and drive strategic technical strategies for our customers. - Shape the product roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. WHAT YOU'LL BRING - 5-7+ years experience in product development of highly technical products. - Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. - Experience crafting and tailoring a message for potential customers, including executives. - Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments. - Degree in a technical or related field, or equivalent professional experience. EVEN BETTER... - AI-related experience (experience with product development for AI agents a plus). - Some coding experience with React, Typescript, and Go. - MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). - Past roles that interface with end customers to influence software development. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
GTM Operations, Agent Development (London)
ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Support the business of Agent Development: Serve as the strategy and operations partner to Agent Dev leadership, and bring the same operational rigor to Agent Dev that powers our Sales organization. - Stand up the operating cadence: Partner with Agent Dev leaders to provide clear visibility into business health, including pipeline, deployment progress, utilization, expansion opportunities, and risks. - Operationalize best practices for enterprise agent deployment: Help define and scale the playbook for how Sierra builds, evaluates, launches, and expands AI agents at large enterprises. - Drive account expansion strategy: Work closely with account teams to identify whitespace, prioritize expansion opportunities, and build repeatable motions that convert post-sale momentum into durable revenue growth. - Turn insight into action: Analyze complex datasets and translate findings into clear, executive-ready recommendations that drive high leverage decisions. - Build internal tooling with AI: Leverage AI-native tools such as Claude Code, Cursor, and Codex to build lightweight internal systems, automate workflows, and create operational leverage across Agent Dev. WHAT YOU’LL BRING - 5-7 years of experience in management consulting, investment banking, private equity, or strategy and operations at top-tier technology companies. - Strong analytical rigor with the ability to work with large datasets and translate analysis into executive-ready insights and clear business actions. - Demonstrated experience supporting sales, post-sales, or commercial teams in a strategy and operations capacity. - Comfort with ambiguity and fast-changing environments, with the ability to independently structure complex problems and drive them to resolution. - Commercial instinct and business judgment, with a clear understanding of how enterprise technology products are landed, deployed, and expanded. - Strong communication skills, with the ability to influence senior stakeholders and act as a trusted advisor. - A growth mindset, coachability, and willingness to roll up your sleeves. No task is too small if it helps the team win. EVEN BETTER... - Technical fluency and coding comfort: You have built apps or internal tools before and can confidently use AI coding tools such as Claude Code, Cursor, or Codex to create production-ready internal solutions. - Previous 0-1 operating experience at a growth stage technology company. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
GTM Operations, Agent Development
ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Support the business of Agent Development: Serve as the strategy and operations partner to Agent Dev leadership, and bring the same operational rigor to Agent Dev that powers our Sales organization. - Stand up the operating cadence: Partner with Agent Dev leaders to provide clear visibility into business health, including pipeline, deployment progress, utilization, expansion opportunities, and risks. - Operationalize best practices for enterprise agent deployment: Help define and scale the playbook for how Sierra builds, evaluates, launches, and expands AI agents at large enterprises. - Drive account expansion strategy: Work closely with account teams to identify whitespace, prioritize expansion opportunities, and build repeatable motions that convert post-sale momentum into durable revenue growth. - Turn insight into action: Analyze complex datasets and translate findings into clear, executive-ready recommendations that drive high leverage decisions. - Build internal tooling with AI: Leverage AI-native tools such as Claude Code, Cursor, and Codex to build lightweight internal systems, automate workflows, and create operational leverage across Agent Dev. WHAT YOU’LL BRING - 5-7 years of experience in management consulting, investment banking, private equity, or strategy and operations at top-tier technology companies. - Strong analytical rigor with the ability to work with large datasets and translate analysis into executive-ready insights and clear business actions. - Demonstrated experience supporting sales, post-sales, or commercial teams in a strategy and operations capacity. - Comfort with ambiguity and fast-changing environments, with the ability to independently structure complex problems and drive them to resolution. - Commercial instinct and business judgment, with a clear understanding of how enterprise technology products are landed, deployed, and expanded. - Strong communication skills, with the ability to influence senior stakeholders and act as a trusted advisor. - A growth mindset, coachability, and willingness to roll up your sleeves. No task is too small if it helps the team win. EVEN BETTER... - Technical fluency and coding comfort: You have built apps or internal tools before and can confidently use AI coding tools such as Claude Code, Cursor, or Codex to create production-ready internal solutions. - Previous 0-1 operating experience at a growth stage technology company. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Agent Development, Operations
ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO: - Serve as the Strategy and Operations partner to support the part of our business focused on world class Agent Development for and with our Customers across the APAC region - Assist our Agent Development team with the planning, organisation and trade offs required to optimise the weekly deployment of multi disciplinary resources across different customers, agent builds and countries, including the timely and accurate maintenance of key systems that provide transparency and help the business make better decisions - Help define and scale the playbook for how Sierra designs, builds, evaluates, launches AI agents at large enterprises, including some of the less obvious areas needed to attend to the needs of these customers in each stage of this process - Work closely with Agent Strategist account leads to identify whitespace, prioritize expansion opportunities, and build repeatable motions that convert post-sale momentum into durable revenue growth. - Turn insight into action: Analyze complex datasets and translate findings across all aspects of the Agent Development organisation into clear, executive-ready recommendations that drive high leverage decisions and operationalize best practices - Coordinate cross-functional initiatives that span Strategy, Product, Eng, Legal and Ops teams including partnerships relevant to Agent Development - driving alignment, timelines, and accountability - Build internal tooling with AI: Leverage AI-native tools such as Claude Code, Cursor, and Codex to build lightweight internal systems, automate workflows, and create other operational leverage across Agent Development. WHAT YOU'LL BRING: - 5+ years of experience in management consulting, or strategy and operations at top-tier technology companies. - Strong analytical rigor with the ability to work with large datasets and translate analysis into executive-ready insights and clear business actions. - Demonstrated experience supporting multi-disciplinary operational teams as a trusted strategy and operations adviser. - High standard of written work and the development and delivery of succinct executive communications - a master at making the complex simple. - Comfort with ambiguity and fast-changing environments, with the ability to independently structure complex problems and drive them to resolution. - Commercial instinct and business judgment, with a clear understanding of how enterprise technology products are landed, deployed, and expanded. - Strong communication skills, with the ability to influence senior stakeholders and act as a trusted advisor. - A growth mindset and willingness to roll up your sleeves. No task is too small if it helps the team win. - Proficiency finding and using the best AI tools available to deliver your work faster and smarter allowing you to provide leveraged impact. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Summer 2027 - Software Engineer Intern
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Our Summer Internship program is a wonderful opportunity for Fall and Spring graduates to immerse themselves in an innovative and mission driven culture. Our 10-week paid internship program will provide you with hands on mentorship, an opportunity to add real contribution to our company via your internship project, and a possible job offer at the end. You will have the chance to make lifelong friendships, expand your network, and learn all about what it's like to work in a high-growth, fast scaling tech unicorn. You'll take part in company sponsored events and enjoy exploring a new city. Read on below to learn more about this unique internship! About the Role Shield AI's Software Development Engineer Intern program spans engineers who design, build, and test the code that powers our autonomous systems — from user-facing applications and embedded flight software to machine learning models and the underlying systems platforms that tie it all together. Over 10–12 weeks, interns work alongside full-time engineers to analyze requirements, write and debug production-quality code, and ship a real feature or capability using our standard Agile development practices. Example Intern Projects Applications: Build a new feature or internal tool (web, mobile, or desktop) that streamlines a mission-planning or fleet-management workflow. Firmware/Embedded: Develop and debug embedded C/C++ code for a flight controller or sensor module, including bring-up and hardware-in-the-loop testing. Machine Learning: Train, evaluate, and integrate a perception or decision-making model (e.g., object detection, sensor fusion) into an autonomy pipeline. Systems Development: Extend a platform tool, API, or data pipeline that supports autonomy software, simulation, or cloud infrastructure. Required Qualifications Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field Proficiency in at least one modern programming language (e.g., C, C++, Python, Java, or JavaScript) Solid foundation in data structures, algorithms, and software design principles Experience writing, testing, and debugging code, whether through coursework, personal projects, or prior internships Familiarity with version control (e.g., Git) and collaborative development workflows Strong analytical and problem-solving skills, with the ability to break down ambiguous requirements into working code Effective written and verbal communication skills and the ability to work collaboratively in a team environment Preferred Qualifications Exposure to mobile or web application frameworks and full-stack development Hands-on experience with embedded systems, microcontrollers, real-time operating systems, or assembly-level debugging Coursework or projects involving machine learning, statistics, probability theory, or deep learning frameworks (e.g., PyTorch, TensorFlow) Experience with cloud platforms, databases, networking, or distributed systems Familiarity with Agile/Scrum development methodologies Prior internship, research, or club/competition experience in robotics, autonomy, or aerospace applications Interest in or exposure to the defense, aerospace, or autonomous systems industry
Staff Engineer, Field Service (R6120)
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: At Shield AI, we are developing autonomy solutions that enhance mission effectiveness and operational decision-making. Our Vision Systems / Hivemind Vision portfolio applies computer vision and AI/ML technologies to help defense, government, and commercial customers gain actionable information from optical sensors. As a Vision Systems Demonstration & Training Specialist on the demonstration and training team, you will support customer demonstrations, operator training, and operational adoption across the portfolio. Working closely with product management, engineering, and business development, you will help customers understand, evaluate, and effectively employ our capabilities. This role requires operational credibility, technical fluency, and a strong instinct for teaching and customer engagement. The ideal candidate understands the demands facing sensor operators and intelligence teams—including real-time workload, competing mission priorities, and the challenges of integrating multiple sensors and information sources—and brings that perspective to every demonstration, training event, and customer interaction. What you'll do: Demonstration & Operational Support: Plan and execute customer flight plans for demonstrations that connect product capabilities to specific mission needs and operational workflows. Prepare and operate Vision Systems software, sensor interfaces, and associated mission equipment during demonstrations, exercises, and evaluations. Support equipment readiness, system configuration, connectivity checks, and field troubleshooting in coordination with engineering and flight operations personnel. Apply crew resource management and operational risk management principles to event preparation, execution, and debriefing. Assist in development of realistic scenarios, demonstration plans, briefing materials, and measures of success in coordination with product management and business development. Training & Standardization: Develop and deliver operator training, practical exercises, and supporting materials for customers and internal teams. Teach system operation, effective employment, and capability limitations in the context of the customer’s mission. Assess operator proficiency and adapt instruction to different experience levels and operational backgrounds. Develop and maintain procedures, checklists, instructional guides, and standardized demonstration materials. Capture lessons learned and incorporate them into training content and operational practices. Customer Engagement & Adoption: Build trusted relationships with operators, instructors, intelligence personnel, and customer program teams. Understand customer challenges and help translate them into practical approaches for employing Vision Systems capabilities. Support customer onboarding, operational familiarization, and follow-up engagement after demonstrations and training. Communicate clearly with operational, technical, and leadership audiences, setting realistic expectations for system performance and employment. Help customers understand how product outputs fit into existing mission systems, tactical applications, and intelligence workflows. Cross-Functional Collaboration & Product Feedback: Translate customer observations into clear descriptions of operational needs, usability issues, and opportunities for improvement. Partner with product management and engineering to evaluate new capabilities and validate them against representative operational scenarios. Support integration and field-test activities through mission-system operation, data collection, issue documentation, and operational feedback. Contribute to concepts of operation, application guidance, and customer-facing technical materials. Coordinate with business development and marketing to ensure demonstrations and messaging accurately represent product capabilities and operational value. Required qualifications: Significant experience in airborne ISR sensor operations, operational intelligence support, or a closely related mission-system or field applications role. Practical understanding of EO/IR sensor employment, particularly gimballed sensors and full-motion video, including real-time task management, crew coordination, and operation alongside other intelligence sensors. Understanding of ISR collection and processing, exploitation, and dissemination (PED), including how sensor outputs support operational decisions. Working familiarity with mission-system interfaces, tactical applications, communications networks, and data links used to exchange sensor information and intelligence products. Familiarity with joint ISR collection and dynamic targeting. Understanding of crew resource management (CRM) and operational risk management (ORM). Demonstrated ability to instruct, mentor, or deliver effective operational and technical briefings. Excellent written and verbal communication skills, with the ability to explain complex concepts to both technical and operational audiences. Strong interpersonal skills, sound judgment, and demonstrated empathy for end users. Ability to learn new software and mission systems, troubleshoot operational issues, and work independently during customer engagements. Ability to travel domestically and internationally for demonstrations, training, exercises, and customer support. Relevant military, contractor, or industry experience may substitute for formal academic qualifications. Preferred qualifications: Experience as an airborne sensor operator in manned and unmanned ISR platforms, maritime patrol, special operations, or comparable multi-sensor mission environments. Instructor, evaluator, or standardization experience, including development of curricula, qualification standards, or operating procedures. Experience supporting joint or special operations customers through military service or government-contracted ISR programs. Experience GRP 1, 2 and 3 UAS on platforms such as the MC-12, U-28, AC-130, P-8, or comparable contractor-operated ISR aircraft. Aviation safety experience or comparable responsibility for safety programs, operational risk assessment, and incident prevention. Experience employing EO/IR sensors alongside radar, signals intelligence, or other collection systems. Experience integrating sensors or mission systems on airborne platforms, or supporting operational test and evaluation. Customer-facing experience with a sensor, mission-system, or defense technology provider. Familiarity with automated target detection and recognition, computer vision, or multi-sensor fusion applications. Experience supporting UAS demonstrations or flight-test activities, including coordination with flight crews and operation of payloads or associated mission systems.
Staff Engineer, AI Factory (R5276)
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: As a Software Engineer on the HMS Factory Team, you will develop, implement, and maintain the automated testing frameworks, log analysis tools, and scenario-generation scripts built on top of the Hivemind Platform (HMP) SDK. Your work is highly technical and hands-on, directly enabling hundreds of autonomy and systems developers to rapidly verify AI Pilot behaviors across our expansive portfolio set. In this role, you will navigate complex environment boundaries between secure GovCloud and commercial ecosystems, tackling deep build-system challenges such as dependency migrations and establishing reliable artifact and source-mirroring pipelines across isolated networks. You will write python-based analytics libraries, build custom wrappers around the HMP Forge test orchestrator, and programmatically generate complex testing environments using domain randomization. You will also participate in the hands-on prototyping and deployment of new distributed testing technologies like on top of the Forge Server to support massive batch-testing runs. Additionally, you will serve as a critical technical bridge, translating raw simulation telemetry into structured, high-fidelity insights while keeping mainline branches unified and stable in the face of varying program upgrade cadences. What you'll do: Write, optimize, and maintain advanced Python-based data analysis pipelines and custom analyzers (such as the Shared Analysis Tool) to parse simulation runs, extract log data, and calculate mission performance metrics. Develop, debug, and maintain custom C++ or Python adapters and automated test orchestration wrappers around core HM Forge to satisfy program-specific validation requirements. Implement programmatic scenario-generation pipelines and write domain-randomization scripts to systematically test autonomy behaviors under highly varied environmental conditions. Analyze simulation log files, rosbags, and network captures to isolate, reproduce, and debug autonomy software defects or simulator failures. Leverage generative AI and agentic AI tooling to dramatically accelerate the development, refinement, and maintenance of analysis suites used to characterize performance and validate HMS solutions. Build reusable agentic workflows that automate the generation and evolution of analysis suites, including automated discovery and interpretation of available test data and system outputs, intelligent identification of analysis needs, and development of new analyzers for HMS performance characterization and validation. Build, test, and write Terraform or Kubernetes configuration files to prototype and deploy distributed orchestration templates on top of the Forge Server. Write reusable, clear step-by-step developer guides, API documentation, and workspace templates to help program engineers implement automated simulation tests. Design and evolve common telemetry ingestion, analysis, and reporting frameworks that enable consistent performance evaluation across HMS programs. Required qualifications: Typically requires a Bachelor's degree in Computer Science, Computer Engineering, Aerospace Engineering, Systems Engineering, or related technical discipline, or equivalent practical experience. Strong software development background in Python, particularly for data analysis, scripting, and automation tooling (utilizing libraries like NumPy, Pandas, or similar). Hands-on experience with automated test orchestration, CI/CD, simulation environments, and container-based architectures (Docker, Kubernetes). Solid software engineering fundamentals, including version control (Git), automated testing, and disciplined debugging practices in a Linux environment. Familiarity with distributed compute frameworks or container orchestration tools is highly preferred. Strong technical problem-solving skills, with the ability to troubleshoot complex, asynchronous software systems. Ability to obtain and maintain an active U.S. SECRET security clearance (U.S. citizenship required).
Principal Engineer, Software (R5285)
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design, ...). The charter of this group is to steer technology development towards strategic alignment with the CTO’s vision, through tactical insertion into teams and technologies across the organization. Individuals within this team make direct and at times forward-sprinting contributions to all three pillars of Hivemind, Shield AI’s software ecosystem for developing and deploying resilient intelligent teaming for aircrafts. Hivemind consists of four products: EdgeOS (C++ based high-performance middleware for autonomy development), Pilot (autonomy for the edge built atop EdgeOS; a models-based, modular and open architecture C++ codebase), Forge (Shield AI's AI Factory for the design, development, and testing of Hivemind Edge systems; a service-oriented architecture leveraged through an SDK, CLI, and web portal; a Go, Python, Typescript codebase), Commander (Software and hardware to support rich human-in-the-loop and human-on-the-loop interactions with the Hivemind; a C++-based back-end for interaction with Pilot; and a web-application UI for mission planning, command and control by operators implemented in a Typescript/React codebase). The Special Projects team is chartered to operate effectively within ambiguity. While this team does not own any software products, it tactically and strategically impacts the development of all foundational Hivemind products and leverages those technologies to rapidly deliver low-TRL solutions. This work happens shoulder-to-shoulder with the product teams in some cases, and in a forward-sprinting manner within the Special Projects team in other cases. The result is direct contribution to products in the former case, and development of reference implementations in the latter. The Special Projects team also functions as a pipeline for product and solution engineering teams across the organization. Individuals who enter the Special Projects team rapidly gain depth and breadth in their understanding of the Hivemind software ecosystem. This positions them well for leading technology development effort across the product and solution organization. What you'll do: Design and prototype generative AI experience focused on accelerating autonomy development Work closely with members of the Office of the CTO to crystallize the vision of the Hivemind product and its documentation Lead the user experience design of Hivemind Generative AI Work closely with the technical leads of Hivemind Commander (mission planning, command and control, air-ground communications) and Hivemind Design (configurations, test and evaluation, rehearsal, analysis) to enhance the user experience of their products Conduct user research to understand user personae and their needs Investigate competing products and their user experiences, synthesize findings to present to engineering and product leadership Required qualifications: 15+ years experience developing large, production quality software systems. Excellent grasp of software development and coding principles with high productivity in a mainstream language (e.g. Typescript, C++, Go, Python, Rust, etc.). Strong knowledge of modern software engineering best practices; Experience with Git and code management tools; Good software hygiene regarding code documentation, unit testing, bug tracking. 5+ years of experience with React/Node/Typescript/Javascript development. 5+ years of experience with Web applications development ("Front-End" or "Full-stack"). Deep understanding full-stack web development (Document-Object Model (DOM), browser APIs, standards, semantics, Websockets, HTTP Streaming and Server-Sent Events (SSE), Client and UI state management; best practises and strategies, as they apply to React-based rendering, Advanced SPA routing, URL-based state persistence,sharing mechanisms, Seamless content loading states and progressive rendering techniques.) Multi-modal input handling (text, files, images, audio). Experience with client-side LLM Context Management Fluid intelligence that allows one to operate effectively in sometimes ambiguous conditions, while finding opportunities to drive technical efforts and force multiply. Experience with Linux, Docker, and CI/CD environments. Hands-on experience with a major cloud platform (Azure, GCP, AWS). This role requires travel to a Shield AI location 1-3 times per quarter Preferred qualifications: Experience with geospatial data and WebGL. Experience with Playwright UI testing Experience with Electron (or similar). Building debugging/inspection UIs for generative AI systems Experience with user experience design video games Experience designing for “Low Code” or “No Code” systems Experience and/or comfort reading C++ and/or Python and/or Typescript
Perception Software Engineer (R5911)
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI's Hivemind Detection, Tracking, and Mapping (DTM) team develops perception capabilities that allow autonomous systems to understand objects, motion, sensors, and terrain across air, maritime, and ground domains. We are seeking a Staff Engineer to develop these capabilities from algorithms and production C++ libraries through integration, verification, and delivery in the Hivemind SDK. This is a full-stack perception product-development role. You will bring depth in at least one core area such as object detection, object tracking, computer vision, image processing, sensor modeling, or sensor fusion, and work comfortably across adjacent parts of the stack. You will help turn prototypes, research, and partner-developed technology into reusable, configurable, well-tested product capabilities. What you'll do: Design and implement production perception capabilities in modern C++, with emphasis on clear interfaces, correctness, performance, maintainability, and automated test coverage. Own features across the development lifecycle: clarify requirements, evaluate technical approaches, develop algorithms and libraries, integrate them into the Pilot runtime, and carry them through SDK validation, documentation, and release readiness. Contribute deep technical judgment in one or more DTM areas, including object detection, object tracking, computer vision, image processing, sensor and measurement modeling, mapping, or multi-sensor fusion. Work across adjacent layers such as sensor data contracts, coordinate frames, timing, configuration, simulation, replay, analyzers, embedded deployment, and end-to-end perception workflows. Diagnose difficult system behavior using source code, logs, recorded sensor data, simulation, and focused experiments; drive issues from symptom through root cause, corrective action, and regression coverage. Participate in design reviews and code reviews, communicate technical tradeoffs concisely, mentor other engineers, and help improve the architecture and engineering practices of the DTM stack. Use modern AI-assisted engineering tools effectively while remaining accountable for the design, technical accuracy, security, test coverage, and reviewability of the resulting work. Evaluate how emerging foundation-model capabilities may strengthen detection, tracking, image understanding, simulation, and perception workflows, and help identify practical paths from promising technology to dependable product capability. Required qualifications: Significant professional experience developing and delivering production C++ software for robotics, autonomy, perception, real-time systems, simulation, or another complex technical product. Deep experience in at least one relevant technical area, such as object detection, object tracking, computer vision, image processing, sensor modeling, sensor fusion, estimation, or mapping. Demonstrated ability to work beyond a prototype or isolated algorithm and deliver maintainable software with clear interfaces, tests, diagnostics, documentation, and integration into a larger system. Strong debugging and systems-thinking skills, including the ability to reason across algorithms, software architecture, data contracts, configuration, timing, coordinate frames, compute behavior, and sensor data. Proficiency with Python tools for technical analysis, visualization, experimentation, or verification. Experience collaborating across teams and disciplines, making sound technical decisions amid ambiguity, and communicating designs, risks, and review feedback clearly and constructively. Experience using—or the demonstrated ability to quickly adopt—modern AI-assisted development tools with disciplined human review and validation. Preferred qualifications: Experience developing software for autonomous aircraft, maritime systems, ground robots, automotive systems, defense applications, or other operationally deployed robotic platforms. Experience with multi-target tracking, data association, estimation, multi-sensor or multi-agent fusion, angle-only tracking, or measurement modeling. Experience with EO/IR imagery, video pipelines, radar, LiDAR, GNSS/INS, camera models, calibration, or time-aligned sensor data. Familiarity with embedded Linux, edge or GPU compute, CUDA, TensorRT, NVIDIA Jetson, Qualcomm, or comparable deployment environments. Experience with simulation, hardware-in-the-loop testing, recorded-data replay, performance analyzers, or evaluation against real-world sensor data. Familiarity with modern C++ package, build, configuration, and CI systems such as CMake, Nix, Conan, GitLab CI, or comparable tooling. Practical familiarity with vision foundation models, vision-language models, learned visual representations, or the data and evaluation workflows needed to adapt foundation models to robotics and autonomy. Experience turning research, IRAD, partner-developed, or program-specific software into reusable product libraries and stable integration contracts. This role is hybrid and based at Shield AI's San Diego, CA headquarters, with three days per week in the office as the baseline. Candidates currently outside San Diego who are willing to relocate are encouraged to apply.
Object Detection and Tracking Engineer (R5244)
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience. What you’ll do: Develop advanced perception algorithms — Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities. Implement sensor fusion frameworks — Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness. Develop state estimation capabilities — Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation. Analyze and utilize sensor ICDs — Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization. Optimize perception performance — Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments. Support autonomy integration — Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules. Validate in simulated and operational settings — Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness. Collaborate with hardware and sensor teams — Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads. Drive innovation in airborne sensing — Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments. Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events). Required Qualifications: BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience. Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models. Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches. Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications. Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs. Proficiency with version control, debugging, and test-driven development in cross-functional teams. Preferred Qualifications: Hands-on integration or algorithm development with airborne sensing systems. Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks. * Experience deploying perception software on SWaP-constrained platforms. Familiarity with validating perception systems during flight test events or operational environments. Understanding of sensing challenges in denied or degraded conditions. Exposure to perception applications across air, maritime, and ground platforms. Why join Shield AI: Help build the defining defence technology company of this century. Work at the forefront of AI, autonomy, and next-generation defence systems. Operate in a highly entrepreneurial and mission-driven environment. Make a direct impact on international growth and strategic defence partnerships. Collaborate with exceptional teams solving some of the world’s most complex operational challenges.
Manager, Software - Perception (R3770)
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions. We are seeking a skilled and motivated manager to lead technical teams and support direct projects integrating perception solutions for defense platforms. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience. What you'll do: Multidisciplinary Team Leadership – Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution. Balance hands-on technical oversight with performance optimization, innovation, and clear stakeholder communication. Develop advanced perception algorithms — Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities. Implement sensor fusion frameworks — Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness. Develop state estimation capabilities — Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation. Analyze and utilize sensor ICDs — Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization. Optimize perception performance — Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments. Support autonomy integration — Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules. Validate in simulated and operational settings — Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness. Collaborate with hardware and sensor teams — Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads. Drive innovation in airborne sensing — Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments. Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events). Required Qualifications: BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience. 5+ years of experience in Unmanned Systems programs in the DoD or applied R&D 2+ years of people leadership experience Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models. Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches. Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications. Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs. Proficiency with version control, debugging, and test-driven development in cross-functional teams. Ability to obtain a SECRET clearance. Preferred Qualifications: Hands-on integration or algorithm development with airborne sensing systems. Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks. Experience deploying perception software on SWaP-constrained platforms. Familiarity with validating perception systems during flight test events or operational environments. Understanding of sensing challenges in denied or degraded conditions. Exposure to perception applications across air, maritime, and ground platforms.
Software Engineer, Product
Scaled Cognition is the world’s only model lab dedicated exclusively to customer experience and pioneering agentic models purpose-built for reliable action-taking enterprise applications. Backed by Khosla Ventures, the company’s flagship Agentic Pretrained Transformer (APT) eliminates hallucinations, enforces enterprise policies and increases reliability in real-world CX workflows. Founded by serial AI entrepreneurs, former Microsoft Corporate Vice President of Conversational AI Dan Roth, and UC Berkeley AI Professor Dan Klein, and built by a team of world-class PhD researchers and engineers, Scaled Cognition advances the science of agentic AI to deliver safe, policy-aligned automation that enterprises can trust. As a Software Engineer, Product at Scaled Cognition you will: - Develop and build intuitive user experiences and SDKs that are powered by our novel, intelligent models. - Develop tools and infrastructure for simulation, evaluation, and deployment of next-generation AI systems. - Work closely with research and infrastructure teams to translate cutting-edge model capabilities into delightful, reliable products. - Prototype fast, learn continuously, and ship ambitious ideas that redefine what’s possible in intelligent software. You might be the right person for the job if you: - Are passionate about building high quality products that solve real user needs. - Are excited about building agentic systems and exploring what's possible at the frontier of AI capabilities. - Thrive in ambiguous environments where you have the autonomy to define the path forward. - Enjoy collaborating across disciplines — from product to AI research to infrastructure — to make something new work in the real world. Key Qualifications: - 3+ years of software engineering experience. - Strong proficiency with Python and TypeScript. - Experience deploying secure, highly available customer-facing applications. - Experience deploying secure, scalable, customer-facing applications in production. - Familiarity with cloud architectures (AWS, GCP, Azure, etc.) and modern dev tooling. - (Bonus) Experience with LLM APIs, SDK design, and interactive systems involving intelligent agents.
Software Engineer (Platform)
Sakana AIでは、自然界から発想を得るユニークな生成AI技術により世界を先駆ける研究開発を行っています。Platform Teamでは、これらの最先端の研究をエンタープライズソリューションとして提供していくための土台となるエージェント実行基盤、評価基盤、ナレッジベースなどのモジュールを開発し、ソリューション開発を効率化することをミッションとしています。このミッションを共に推進するSoftware Engineerを募集しています。 Platformの「ユーザー」は、Platformを利用してソリューションを開発する社内外の開発者、またはAIエージェント自体です。優れた基盤は、堅牢なバックエンドだけでなく、それを使う開発者やエージェントが直感的に扱えるインターフェース（API、SDK、管理画面、ダッシュボード等）があって初めて価値を発揮します。そのため、自らをインフラの作り手としてだけでなく「プロダクトの作り手」と捉え、ユーザーの体験を起点に基盤を設計できる方を求めています。 この職務は、日本を拠点とし、日本語でのビジネスレベルの会話および業務文書を理解する能力が求められます。 At Sakana AI, we are conducting world-leading research and development with unique generative AI technologies inspired by nature. The mission of the Platform Team is to develop modules such as agent execution infrastructure, evaluation infrastructure, and knowledge bases that serve as the foundation for providing this cutting-edge research as enterprise solutions, thereby streamlining solution development. We are looking for a Software Engineer to promote this mission together. The "users" of the Platform are internal and external developers or AI agents that use the Platform to develop solutions. Excellent infrastructure only demonstrates its value when it has not only a robust backend but also interfaces (APIs, SDKs, management screens, dashboards, etc.) that developers and AI agents can use intuitively. Therefore, we are looking for someone who can view themselves not just as a builder of infrastructure but as a "product maker," and design the platform starting from the user experience. This position is based in Japan and requires the ability to understand business-level conversation and operational documents in Japanese. 役割と責任 / Roles and Responsibilities 複数のソリューションから共通利用される再利用可能なPlatformモジュール（エージェント実行基盤、評価基盤、ナレッジベース等）の設計・開発・運用 Solution / Product チームと協働し、Platformコンポーネントを各案件・プロダクトに組み込むことで、開発効率と品質を高める CI/CD、モニタリング、スケーリング、セキュリティなど、プロダクションを支える基盤の構築・運用 Platformを利用する開発者向けSDK・テンプレート・ドキュメント・エージェントスキルの提供と開発者支援。コラボレーションや能動的なヒアリングを通じてフィードバックを収集し、基盤の改善に反映する 日本語と英語両方を用いるグローバルなチームにおけるコラボレーション Design, development, and operation of reusable Platform modules (agent execution infrastructure, evaluation infrastructure, knowledge base, etc.) commonly used across multiple solutions. Collaborate with Solution / Product teams to integrate Platform components into each solution to improve development efficiency and quality. Construction and operation of the infrastructure supporting production, including CI/CD, monitoring, scaling, and security. Provide SDKs, templates, documentation, and agent skills for developers using the Platform and provide developer support. Collect feedback through collaboration and proactive hearing to reflect it in platform improvements. Collaboration in a global team using both Japanese and English. Requirements 応募資格およびスキル / Qualifications and Skills プラットフォーム/インフラ/SREいずれかの領域でのソフトウェアエンジニアとしての実務経験3年以上 Python、TypeScript、Javaのいずれかによるバックエンド開発経験 Kubernetes等のコンテナオーケストレーションを用いた本番システムの設計・運用経験 パブリッククラウド（AWS / GCP / Azure）でのシステム構築経験 CI/CD、IaC（Terraform等）を用いた開発・運用の実践経験 LLM API（OpenAI / Anthropic / Google等）を用いたアプリケーションまたは基盤の開発経験 ユーザーの体験を起点に設計・開発を行うプロダクトマインドセット 開発の生産性向上やプロセスの自動化に対する強いモチベーション 日本語での業務コミュニケーション能力（JLPT N2相当以上、または同等の実務経験） 英語でのテキストベースの業務コミュニケーション能力 3+ years of experience as a software engineer in the areas of Platform, Infrastructure, or SRE. Backend development experience with any of Python, TypeScript, or Java. Experience designing and operating production systems using container orchestration such as Kubernetes. Experience building systems on public clouds (AWS / GCP / Azure). Practical experience in development and operation using CI/CD and IaC (Terraform, etc.). Experience developing applications or infrastructure using LLM APIs (OpenAI / Anthropic / Google, etc.). Product mindset focused on designing and developing from the user experience. Strong motivation for improving development productivity and process automation. Japanese business communication skills (JLPT N2 level or higher, or equivalent practical experience). English text-based business communication skills. 歓迎要件 / Preferred Qualifications React、Next.js、TypeScript等を用いたフロントエンド開発経験 AIエージェントフレームワーク（LangGraph、Mastra、OpenAI Agents SDK等）やMCPを用いた開発経験 Datadog、Prometheus、OpenTelemetry等を用いたオブザーバビリティ基盤の設計・構築経験 LLMOps（プロンプト管理、評価パイプライン、トレーシング基盤:Langfuse、MLflow等）の運用経験 LLM評価の設計経験（評価データセット、LLM-as-judgeの妥当性検証、指標設計） LLMやAIエージェント（Function calling、MCP、マルチエージェントシステム等）を活用したアプリケーション・基盤の開発経験 社内プラットフォームや開発者向けツールの提供・普及（Platform Engineering / DevOps）の経験 AI/MLスタートアップでの経験 大規模組織におけるデータガバナンス・コンプライアンス対応の経験 OSSへのコントリビューションや技術発信の実績 コンピューターサイエンスまたは関連分野の学士号または修士号の学位 英語でのビジネスレベルの会話スキル Frontend development experience using React, Next.js, TypeScript, etc. Experience with AI agent frameworks (LangGraph, Mastra, OpenAI Agents SDK, etc.) or MCP. Experience designing and building observability infrastructure using Datadog, Prometheus, OpenTelemetry, etc. Experience operating LLMOps (prompt management, evaluation pipelines, tracing infrastructure: Langfuse, MLflow, etc.). Experience designing LLM evaluations (evaluation datasets, LLM-as-judge validity verification, metric design). Experience developing applications and infrastructure utilizing LLMs and AI agents (Function calling, MCP, multi-agent systems, etc.). Experience in providing and promoting internal platforms and developer tools (Platform Engineering / DevOps). Experience in an AI/ML startup. Experience with data governance and compliance in large-scale organizations. Proven track record of OSS contributions or technical advocacy. Bachelor's or Master's degree in Computer Science or a related field. Business-level conversation skills in English. 雇用形態 / Employment Type フルタイム、業務委託（週24時間以上） Full-time / Contract (24+ hours per week) Benefits 社会保険完備（健康保険、厚生年金、雇用保険） 完全週休二日制（土・日）、国民の祝日、年末年始休暇（12/30〜1/3） 年次有給休暇 慶弔休暇、生理休暇 産前産後休暇、育児休業、介護休業 フレックスタイム制 / 裁量労働制（職種による） ハイブリッド勤務（オフィス＋リモート） 通勤手当支給 防衛事業に対する考え方について Sakana AI は、日本に拠点を置く AI 企業として、日本政府との事業を行っています。当社は「防衛事業に対する考え方（Sakana AI's Basic Policy on Defense Business）」に関する見解をまとめています。ご応募の前に、日本政府との協業、とりわけ防衛に関する当社の方針についてご理解いただき、認識をすり合わせたうえでご応募いただきたいと考えています。 日本語: https://sakana.ai/company-info/defense-policy.html?lang=ja English: https://sakana.ai/company-info/defense-policy.html?lang=en ※ 内容へのご同意は、応募フォーム内の設問にてご確認いただきます。 応募方法 職種の確認 ：募集中のポジションから、ご自身の経験に合うものをお選びください。 careers@sakana.ai へメールを送付 ：応募する職種名と、ご自身についての紹介文をお送りください。 応募フォームの提出 ： の下部にある応募フォームより必要事項を入力して送信してください ⚠️ 応募にあたっての重要なお願い フォームを送信する「前」に、必ず careers@sakana.ai 宛にカバーレターをメールでお送りください。 メール本文には、ご自身についての紹介と応募する求人名、 応募フォームの入力を完了した旨 を明記してください。 紹介文は プレーンテキストで本文に直接 ご記入ください（PDF等の添付ファイルではお送りいただかないようお願いします）。ご自身のことが伝わる、熱意のこもった内容をお待ちしています。 メールは、 Google ドキュメントが利用可能なアカウント（Gmail 推奨） からお送りください。 応募フォームで登録するメールアドレスと同一のアドレス からご送信ください。異なるアドレスからのご送付はご遠慮ください。 このカバーレターメールをお送りいただけない場合、選考の対象外となり、ご応募いただいても対応いたしかねる場合があります。 （フォーム送信前にお送りいただきたい理由は、フォームのご応募を確認した際にすぐカバーレターを拝読したいためです。順序が逆になると、カバーレターが未送付と判断されてしまう可能性があります。）
Software Engineer (Defense)
概要 AI技術を組み込んだアプリケーションの設計・開発を通じて、日本の防衛・インテリジェンス分野にソフトウェアの観点から貢献することに情熱を持つ候補者を求めています。 防衛・インテリジェンス領域の事前知識は必須ではありませんが、この領域に強い興味関心があり、自ら知識を習得する意欲がある方を歓迎します（事前知識があれば尚可）。 この職務は、日本を拠点とし、日本語でのビジネスレベルの会話および業務文書を理解する能力が求められます。面接は日本語で行います。 防衛およびインテリジェンスに関わるプロジェクトの性質上、日本国籍の保有をはじめ、アサインに際しては厳密な情報保全および適性評価（セキュリティ・クリアランス）の基準をクリアしていただく必要がある点をあらかじめご了承ください。 *フルタイム契約だけでなく、業務委託（週24時間以上）、インターンシップ（2ヶ月間以上・週24時間以上）の形態も可とします。 役割と責任: 顧客価値の実現: AI技術を活用したアプリケーションの全システムに及ぶ一貫した設計・開発、ならびにサービスの運用管理を通じた顧客価値の提供。 オンサイト協力: 必要に応じて発生する、一定期間のクライアント環境での勤務。 次のブログは防衛領域での開発に携わるSoftware Engineerへのインタビュー記事です。業務内容についても話しています。 Blog: 防衛分野における開発の最前線：Sakana AI、Software Engineerインタビュー Requirements 必須要件: 技術経験: 以下のいずれか2つの技術領域における実務レベルの設計・開発・運用経験、および将来的にはシステム全体（フルスタック）領域に挑戦・拡張していく強い意欲。 Frontend: TypeScript、Next.js/SvelteKit/Nuxt Backend: Python、Node.js、Go等 Infrastructure: AWS/GCP等のクラウド環境、オンプレミスのプライベート環境 Mobile App: Androidアプリケーション Embedded: ドローン等の組み込み機器 DDIL environment: 制限された通信環境下のメッシュネット等で稼働する分散システム AIシステム経験: Multimodal model等を含む、MLモデルを組み込んだシステムの設計・開発・運用経験 0→1の遂行能力: 曖昧な状況下で自律的に価値貢献し、顧客ニーズからゴールの定義、課題の抽出・分解・解決を完遂する能力 AI活用: 業務全般においてAgentic AIを駆使し、自律的に成果物の品質と速度を最大化する能力 コンピューターサイエンスまたは関連する技術分野の学士号（同等の実務経験でも可） 歓迎要件: より多岐に渡る技術領域や、AI技術を組み込んだアプリケーションの実務レベルの設計・開発・運用経験 AIを活用した製品・サービス開発を行うテック企業、またはデータ駆動型の意思決定を推進する企業においての活動経験 UI/UX設計に関する知見 ビジネスレベルの英語能力 ハイブリッド検索（全文・ベクトル）、リランキング、出典追跡（data provenance）を含む RAGや検索システムの設計・開発・評価の経験 複数データソースにまたがるエンティティ解決、ナレッジグラフ構築、時系列イベントデータのモデリング経験 Benefits 社会保険完備（健康保険、厚生年金、雇用保険） 完全週休二日制（土・日）、国民の祝日、年末年始休暇（12/30〜1/3） 年次有給休暇 慶弔休暇、生理休暇 産前産後休暇、育児休業、介護休業 フレックスタイム制 / 裁量労働制（職種による） ハイブリッド勤務（オフィス＋リモート） 通勤手当支給 防衛事業に対する考え方について Sakana AI は、日本に拠点を置く AI 企業として、日本政府との事業を行っています。当社は「防衛事業に対する考え方（Sakana AI's Basic Policy on Defense Business）」に関する見解をまとめています。ご応募の前に、日本政府との協業、とりわけ防衛に関する当社の方針についてご理解いただき、認識をすり合わせたうえでご応募いただきたいと考えています。 日本語: https://sakana.ai/company-info/defense-policy.html?lang=ja English: https://sakana.ai/company-info/defense-policy.html?lang=en ※ 内容へのご同意は、応募フォーム内の設問にてご確認いただきます。 カジュアル面談 カジュアル面談を実施しています。ご希望の方は次のフォームからお申込みください。 カジュアル面談お申込みフォーム ※ 正式な応募はこのページの最下部の「Apply for this job」のボタンからご応募ください。 応募方法 職種の確認 ：募集中のポジションから、ご自身の経験に合うものをお選びください。 careers@sakana.ai へメールを送付 ：応募する職種名と、ご自身についての紹介文をお送りください。 応募フォームの提出 ： の下部にある応募フォームより必要事項を入力して送信してください ⚠️ 応募にあたっての重要なお願い フォームを送信する「前」に、必ず careers@sakana.ai 宛にカバーレターをメールでお送りください。 メール本文には、ご自身についての紹介と応募する求人名、 応募フォームの入力を完了した旨 を明記してください。 紹介文は プレーンテキストで本文に直接 ご記入ください（PDF等の添付ファイルではお送りいただかないようお願いします）。ご自身のことが伝わる、熱意のこもった内容をお待ちしています。 メールは、 Google ドキュメントが利用可能なアカウント（Gmail 推奨） からお送りください。 応募フォームで登録するメールアドレスと同一のアドレス からご送信ください。異なるアドレスからのご送付はご遠慮ください。 このカバーレターメールをお送りいただけない場合、選考の対象外となり、ご応募いただいても対応いたしかねる場合があります。 （フォーム送信前にお送りいただきたい理由は、フォームのご応募を確認した際にすぐカバーレターを拝読したいためです。順序が逆になると、カバーレターが未送付と判断されてしまう可能性があります。）
Director of Infrastructure Engineering
Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale. Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers. We’re looking for a Director of Infrastructure Engineering to lead and scale Runpod’s core cloud and bare-metal environments. This role owns the critical foundational layers of our platform—Site Reliability Engineering (SRE), global networking, High-Performance Computing (HPC) networks, and distributed storage engines. You’ll build the operating rhythm, culture, and technical direction that ensures Runpod remains highly available, performant, and capable of scaling to meet massive GPU computing demands. You will partner tightly with Product Engineering, Product, and GTM leadership to support enterprise customers. Your focus is ensuring that our underlying infrastructure provides the absolute fastest, most reliable, and lowest-latency path for customers training and running large-scale AI workloads. Responsibilities: - Own Core Infrastructure & SRE: Lead multiple engineering teams responsible for Site Reliability Engineering, networking, and storage. Establish rigorous SRE practices, driving SLA/SLO definitions, incident response, observability, and automated remediation. - Architect HPC & Global Networking: Oversee the design, scaling, and operation of Runpod’s global network backbone, as well as ultra-low-latency HPC cluster networks. Drive the implementation and optimization of InfiniBand and RDMA over Converged Ethernet (RoCE) to support massive, multi-node GPU training workloads. - Drive Storage Engine Innovation: Direct the architecture and performance tuning of highly scalable, distributed storage systems. Ensure our storage engines can deliver the massive IOPS and throughput required to keep high-end GPUs fed with data during deep learning tasks. - Build a High-Output Org: Hire, mentor, and grow highly technical engineering managers and senior ICs (network architects, systems engineers, SREs). Create a culture of ownership, operational excellence, and craft in a remote-first environment. - Translate Scale into Strategy: Partner with Program Management and Product to forecast capacity requirements, shape technical roadmaps, and convert massive scale challenges into clear technical scopes, milestones, and measurable outcomes. - Continuously Improve Systems & Flow: Drive measurable improvements in infrastructure reliability and delivery metrics, such as deployment frequency, MTTR (Mean Time To Recovery), infrastructure as code (IaC) coverage, and system uptime. - Architectural Stewardship: Provide architectural oversight for bare-metal provisioning, virtualization layers, network fabrics, and storage clusters, ensuring seamless scalability without becoming a bottleneck for your teams. - Cross-Functional Partnership: Coordinate cleanly with product delivery and platform teams to ensure the infrastructure primitives they rely on are robust, well-documented, and highly available. Requirements: - Engineering Leadership Experience: 7+ years leading software, infrastructure, SRE, or networking teams, including managing managers and multiple squads, with a proven record of scaling high-availability cloud environments. - Deep Infrastructure Expertise: 8+ years building and operating large-scale distributed systems, bare-metal infrastructure, or public/private cloud platforms. - HPC & Advanced Networking: Proven hands-on background or strong architectural understanding of ultra-low latency networking. Deep familiarity with InfiniBand and/or RoCE, spine-leaf architectures, and global WAN routing protocols (BGP). - Storage Systems Knowledge: Experience building, operating, or tuning high-performance distributed storage systems and parallel file systems (e.g., Ceph, Lustre, Weka, NVMe-oF) capable of handling heavy AI/ML I/O loads. - SRE / DevOps Culture: Strong foundation in reliability engineering, infrastructure-as-code (Terraform, Ansible), container orchestration (Kubernetes), and modern observability stacks. - Remote-First Operating Excellence: Experience building culture, accountability, and momentum across distributed technical teams. - Communication & Collaboration: Clear written and verbal communication, strong stakeholder management, and calm, decisive leadership during high-stakes operational incidents. - Background Check: Successful completion of a background check. Preferred Qualifications: - Direct experience architecting and operating infrastructure specifically optimized for massive GPU clusters and AI/ML workloads. - Deep understanding of hardware architectures, GPU interconnects (NVLink), and datacenter topology. - Track record of scaling infrastructure teams in hyper-growth startup environments. - Open-source contributions or active recognition within the infrastructure, networking, or Kubernetes communities. What You’ll Receive: - The competitive base pay for this position ranges from ($225,000 - $325,000). This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. - Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside. - Generous medical, dental & vision plans. - Flexible PTO- take the time you need to recharge. - Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication. - Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale. - $1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace. Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas.
Account Manager (Strategic)
Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers. We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale. As an Account Manager (Strategic) at Runpod, you'll work with the organizations doing the most ambitious work on our platform. These are teams building real AI systems - testing early ideas, training and tuning their own models, and running inference at production scale - across a wide range of industries and use cases. Their problems are technical, their timelines are fast, and what they build on Runpod matters to their business. These are multi-million-dollar, high-touch, executive-level relationships. You'll engage your accounts at least monthly, operate as a true strategic partner to their leadership, and be measured on how much you grow and deepen those relationships over multiple years. Your mandate isn't just to keep these accounts healthy - it's to make them bigger. You'll be proactive by default: anticipating needs, bringing Runpod's roadmap and new capabilities to the customer, and co-creating solutions that expand how they build on us. Each of your accounts is paired with a dedicated Forward Deployed Engineer, and you'll quarterback that partnership to turn technical wins into commercial expansion. Responsibilities: - Own a concentrated portfolio of Runpod's largest strategic accounts (typically fewer than 20), carrying the relationship, retention, and expansion for each. - Operate a high-touch engagement model - monthly (or more frequent) executive and technical touchpoints, deep account planning, and multi-year growth strategies. - Partner day-to-day with each account's dedicated Forward Deployed Engineer to align technical outcomes with commercial expansion. - Be proactive and innovation-led: don't just resolve issues - bring new Runpod capabilities, roadmap, and ideas that drive new use cases and increased spend. - Drive large, complex renewals and expansions; negotiate high-value, multi-year commercial terms, pricing, and SLAs. - Build executive relationships and run strategic business reviews on ROI, roadmap alignment, and future capacity planning. - Serve as the voice of your strategic customers internally - influencing product, engineering, and supply priorities on their behalf. - Own accurate forecasting, account plans, and health/expansion metrics (NRR, expansion revenue, sentiment) in the CRM, and report to leadership. - Travel periodically to visit your strategic accounts and represent Runpod at key industry moments. Requirements: - 6+ years in account management, with at least 2 of those years owning complex accounts - ideally in AI infrastructure, GPU cloud, neoclouds, cloud/compute, or developer tooling. - Track record owning and growing a concentrated book of large, complex strategic accounts (multi-million-dollar, ideally $50M+ relationships) with executive stakeholders as opposed to high-volume portfolios. - Multi-year, seven-to-eight-figure renewal and expansion negotiation experience. - Strong technical acumen and executive presence - equally credible with developers/ML engineers and C-suite buyers. - Proactive, consultative operator who drives expansion and innovation, not just issue resolution. - Comfortable partnering closely with technical field teams to turn technical wins into commercial expansion. - Excellent negotiation, communication, and presentation skills across technical and business audiences. - Strong command of account health and revenue metrics (NRR, expansion, churn, usage), with CRM discipline and accurate forecasting (We use Hubspot as our CRM). - Comfortable in a fast-moving, ambiguous, build-it-as-we-go environment; experience building AM motions or playbooks from an early/greenfield stage is a plus. - Successful completion of a background check. What You’ll Receive: - The competitive OTE for this position ranges from $160,000 and $280,000 OTE. This is a mix of base plus commission. This range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. - Because this role is measured on growing your accounts, your commission is uncapped - expansion within your book creates real potential to earn above your target OTE. - Meaningful equity in a fast-growing AI infra company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside. - Generous medical, dental & vision plans. - Flexible PTO- take the time you need to recharge. - Most roles have are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication. - Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale. - $1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace. Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas
Senior Forward Deployed Engineer (Spanish Fluency...
ABOUT RETELL AI Retell AI is using first-principles thinking to reimagine the call center with cutting-edge voice AI. Thousands of companies now use Retell's AI voice agents to handle sales, support, and logistics calls that once required large teams of human agents. Backed by Y Combinator, Alt Capital, and other leading investors, we've scaled to $80M in ARR with a team of 50, up from $5M at the start of 2025, and are now valued at over $1.5B. Our vision for 2026 is to build a modern CX platform where entire contact centers are powered by AI. Instead of basic automation that needs constant human tuning, we're creating intelligent AI “workers” that act as frontline agents, QA analysts, and managers, continuously executing, monitoring, and improving every customer interaction. We're growing fast and looking for ambitious builders who want to tackle hard technical problems, move quickly, and have a real impact on one of the fastest-growing voice AI companies in the world. Let's build the future together. Recent recognition: - No. 1 Best Places to Work in the Bay Area, San Francisco Business Times 2026 https://finance.yahoo.com/technology/ai/articles/voice-ai-startup-retell-ai-145200025.html - Top 50 AI Apps, a16z (2025) https://a16z.com/the-ai-application-spending-report-where-startup-dollars-really-go/ - #3 Fastest-Growing Software Company, G2 Best Software Awards 2026 https://company.g2.com/news/g2s-2026-best-software-awards - Best Agentic AI Software, G2 Best Software Awards 2026 https://www.retellai.com/blog/retell-ai-recognized-as-the-best-agentic-ai-software-by-g2 - #4 Fastest-Growing Software Vendor, Brex Benchmark 2025 https://www.brex.com/journal/brex-benchmark-december-2025 - Enterprise Tech 30 Class of 2026, Nasdaq & Wing VC https://www.nasdaq.com/videos/retell-ai - Top-Ranked Startup, Lean AI Leaderboard https://leanaileaderboard.com/ - Backed by Y Combinator https://www.ycombinator.com/companies/retell-ai ABOUT THE ROLE Retell AI transforms customer experience with voice AI for enterprises, including customers like CVS/Aetna, American Airlines, Lenovo, and Grab. We have more customer stories than we can tell! As a Senior Forward Deployed Engineer, you'll deliver Retell's voice AI solutions to enterprise clients, embedding with their teams to build production-ready systems. You'll bridge technical and non-technical stakeholders with exceptional communication, driving adoption and shaping our platform through customer insights. We’re seeing strong growth with enterprise customers across Latin America, so we’re specifically looking for engineers who are fluent in Spanish and can communicate effectively with customers and partners across the region. KEY RESPONSIBILITIES - Lead end-to-end delivery of projects using Retell's voice agent platform - from prototyping to production, communicating progress and risks clearly. - Become go-to experts on building voice AI solutions, especially LLM prompting tips & tricks. - Build full-stack integrations (Python, JavaScript) with enterprise tools (e.g. CRMs, ERPs, scheduling tools) - Partner with sales to engage clients to gather requirements, prototype demos, and present system designs. - Scope projects, resolve blockers, and align teams with concise updates. - Codify reusable patterns into tools or platform components. - Translate field feedback into actionable product and GTM recommendations. YOU MIGHT THRIVE IF - Have 2+ years in customer-facing technical role. - Fluent in both Spanish and English, with the ability to communicate effectively with enterprise customers. - Open to occasional travel, including international travel to support customer engagements when needed. - Excel at communicating and explaining complex technical concepts to both technical and non-technical audiences. - Have delivered production systems in fast-paced, ambiguous environments. - Write production-grade code in Python, JavaScript/TypeScript, or a similar language. - Understand LLM-powered systems and their impact on user experience. - Proactively manage risks, drive execution, and maintain momentum under pressure. JOB DETAILS - Cash: 160k - 300k - Equity: Equity Provided - Location: Redwood City, CA, US - relocation provided - US Visas: Retell AI is open to sponsoring work authorization for qualified candidates, including H1B/H-1B, TN, L-1, E-3, F-1 (OPT/CPT), and O-1 visas. OTHER BENEFITS - 100% coverage for medical, dental, and vision insurance - $70/day DoorDash credit for unlimited breakfast, lunch, dinner, and snacks - $200/month wellness reimbursement (gym, fitness classes, etc.) - $300/month commuter reimbursement (gas, Caltrain, etc.) - $75/month phone bill reimbursement - $50/month internet reimbursement COMPENSATION PHILOSOPHY - Best Offer Upfront: Choose from three cash-equity balance options; no negotiation needed. - Top 1% Talent: Above-market pay (top 5 percentile) to attract exceptional builders. - High Ownership: Small teams, >$1M revenue/employee, and significant equity. - Performance-Based: Offers tied to interview performance, not experience or past salaries. INTERVIEW PROCESS 1. Recruiter Intro Call (15 min): Learn more about Retell and share your background and experience. 2. Technical Interview (60 min): Live coding and API-focused technical screen. 3. Product & Customer Screen (60 min): Focused on product understanding and how customers use Retell. 4. Onsite/Virtual Interviews (2 hrs): 90-minute technical interview followed by a 30-minute meeting with the team
Senior Forward Deployed Engineer (Mandarin Fluency...
ABOUT RETELL AI Retell AI is using first-principles thinking to reimagine the call center with cutting-edge voice AI. Thousands of companies now use Retell's AI voice agents to handle sales, support, and logistics calls that once required large teams of human agents. Backed by Y Combinator, Alt Capital, and other leading investors, we've scaled to $80M in ARR with a team of 50, up from $5M at the start of 2025, and are now valued at over $1.5B. Our vision for 2026 is to build a modern CX platform where entire contact centers are powered by AI. Instead of basic automation that needs constant human tuning, we're creating intelligent AI “workers” that act as frontline agents, QA analysts, and managers, continuously executing, monitoring, and improving every customer interaction. We're growing fast and looking for ambitious builders who want to tackle hard technical problems, move quickly, and have a real impact on one of the fastest-growing voice AI companies in the world. Let's build the future together. Recent recognition: - No. 1 Best Places to Work in the Bay Area, San Francisco Business Times 2026 https://finance.yahoo.com/technology/ai/articles/voice-ai-startup-retell-ai-145200025.html - Top 50 AI Apps, a16z (2025) https://a16z.com/the-ai-application-spending-report-where-startup-dollars-really-go/ - #3 Fastest-Growing Software Company, G2 Best Software Awards 2026 https://company.g2.com/news/g2s-2026-best-software-awards - Best Agentic AI Software, G2 Best Software Awards 2026 https://www.retellai.com/blog/retell-ai-recognized-as-the-best-agentic-ai-software-by-g2 - #4 Fastest-Growing Software Vendor, Brex Benchmark 2025 https://www.brex.com/journal/brex-benchmark-december-2025 - Enterprise Tech 30 Class of 2026, Nasdaq & Wing VC https://www.nasdaq.com/videos/retell-ai - Top-Ranked Startup, Lean AI Leaderboard https://leanaileaderboard.com/ - Backed by Y Combinator https://www.ycombinator.com/companies/retell-ai ABOUT THE ROLE Retell AI transforms customer experience with voice AI for enterprises, including customers like CVS/Aetna, American Airlines, Lenovo, and Grab. We have more customer stories than we can tell! As a Senior Forward Deployed Engineer, you'll deliver Retell's voice AI solutions to enterprise clients, embedding with their teams to build production-ready systems. You'll bridge technical and non-technical stakeholders with exceptional communication, driving adoption and shaping our platform through customer insights. We're seeing significant growth with enterprise customers in China, so we're specifically looking for engineers who are fluent in Mandarin and can communicate effectively with our China-based customers and partners. KEY RESPONSIBILITIES - Lead end-to-end delivery of projects using Retell's voice agent platform - from prototyping to production, communicating progress and risks clearly. - Become go-to experts on building voice AI solutions, especially LLM prompting tips & tricks. - Build full-stack integrations (Python, JavaScript) with enterprise tools (e.g. CRMs, ERPs, scheduling tools) - Partner with sales to engage clients to gather requirements, prototype demos, and present system designs. - Scope projects, resolve blockers, and align teams with concise updates. - Codify reusable patterns into tools or platform components. - Translate field feedback into actionable product and GTM recommendations. YOU MIGHT THRIVE IF - Have 2+ years in customer-facing technical role. - Fluent in both Mandarin and English, with the ability to communicate effectively with enterprise customers. - Open to occasional travel, including international travel to support customer engagements when needed. - Excel at communicating and explaining complex technical concepts to both technical and non-technical audiences. - Have delivered production systems in fast-paced, ambiguous environments. - Write production-grade code in Python, JavaScript/TypeScript, or a similar language. - Understand LLM-powered systems and their impact on user experience. - Proactively manage risks, drive execution, and maintain momentum under pressure. JOB DETAILS - Cash: 160k - 300k - Equity: Equity Provided - Location: Redwood City, CA, US - relocation provided - US Visas: Retell AI is open to sponsoring work authorization for qualified candidates, including H1B/H-1B, TN, L-1, E-3, F-1 (OPT/CPT), and O-1 visas. OTHER BENEFITS - 100% coverage for medical, dental, and vision insurance - $70/day DoorDash credit for unlimited breakfast, lunch, dinner, and snacks - $200/month wellness reimbursement (gym, fitness classes, etc.) - $300/month commuter reimbursement (gas, Caltrain, etc.) - $75/month phone bill reimbursement - $50/month internet reimbursement COMPENSATION PHILOSOPHY - Best Offer Upfront: Choose from three cash-equity balance options; no negotiation needed. - Top 1% Talent: Above-market pay (top 5 percentile) to attract exceptional builders. - High Ownership: Small teams, >$1M revenue/employee, and significant equity. - Performance-Based: Offers tied to interview performance, not experience or past salaries. INTERVIEW PROCESS 1. Recruiter Intro Call (15 min): Learn more about Retell and share your background and experience. 2. Technical Interview (60 min): Live coding and API-focused technical screen. 3. Product & Customer Screen (60 min): Focused on product understanding and how customers use Retell. 4. Onsite/Virtual Interviews (2 hrs): 90-minute technical interview followed by a 30-minute meeting with the team.
Senior Forward Deployed Engineer
ABOUT RETELL AI Retell AI is using first-principles thinking to reimagine the call center with cutting-edge voice AI. Thousands of companies now use Retell's AI voice agents to handle sales, support, and logistics calls that once required large teams of human agents. Backed by Y Combinator, Alt Capital, and other leading investors, we've scaled to $80M in ARR with a team of 50, up from $5M at the start of 2025, and are now valued at over $1.5B. Our vision for 2026 is to build a modern CX platform where entire contact centers are powered by AI. Instead of basic automation that needs constant human tuning, we're creating intelligent AI “workers” that act as frontline agents, QA analysts, and managers, continuously executing, monitoring, and improving every customer interaction. We're growing fast and looking for ambitious builders who want to tackle hard technical problems, move quickly, and have a real impact on one of the fastest-growing voice AI companies in the world. Let's build the future together. Recent recognition: - No. 1 Best Places to Work in the Bay Area, San Francisco Business Times 2026 https://finance.yahoo.com/technology/ai/articles/voice-ai-startup-retell-ai-145200025.html - Top 50 AI Apps, a16z (2025) https://a16z.com/the-ai-application-spending-report-where-startup-dollars-really-go/ - #3 Fastest-Growing Software Company, G2 Best Software Awards 2026 https://company.g2.com/news/g2s-2026-best-software-awards - Best Agentic AI Software, G2 Best Software Awards 2026 https://www.retellai.com/blog/retell-ai-recognized-as-the-best-agentic-ai-software-by-g2 - #4 Fastest-Growing Software Vendor, Brex Benchmark 2025 https://www.brex.com/journal/brex-benchmark-december-2025 - Enterprise Tech 30 Class of 2026, Nasdaq & Wing VC https://www.nasdaq.com/videos/retell-ai - Top-Ranked Startup, Lean AI Leaderboard https://leanaileaderboard.com/ - Backed by Y Combinator https://www.ycombinator.com/companies/retell-ai ABOUT THE ROLE Retell AI transforms customer experience with voice AI for enterprises, including customers like CVS/Aetna, American Airlines, Lenovo, and Grab. We have more customer stories than we can tell! As a Senior Forward Deployed Engineer, you’ll deliver Retell’s voice AI solutions to enterprise clients, embedding with their teams to build production-ready systems. You’ll bridge technical and non-technical stakeholders with exceptional communication, driving adoption and shaping our platform through customer insights. KEY RESPONSIBILITIES - Lead end-to-end delivery of projects using Retell's voice agent platform - from prototyping to production, communicating progress and risks clearly. - Become go-to experts on building voice AI solutions, especially LLM prompting tips & tricks. - Build full-stack integrations (Python, JavaScript) with enterprise tools (e.g. CRMs, ERPs, scheduling tools) - Partner with sales to engage clients to gather requirements, prototype demos, and present system designs. - Scope projects, resolve blockers, and align teams with concise updates. - Codify reusable patterns into tools or platform components. - Translate field feedback into actionable product and GTM recommendations. YOU MIGHT THRIVE IF - Have 2+ years in customer-facing technical roles (e.g., Solutions Engineer, Technical PM, Customer Success/Support engineer, Ex-founder). - Have a Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering. - Excel at communication & explaining complex technical concepts to non-technical audiences. - Have delivered systems in fast-paced, ambiguous settings. - Write production-grade code (Python, JavaScript, or similar). - Understand LLM-powered systems and their impact on user experience. - Proactively manage risks and maintain momentum under pressure. JOB DETAILS - Cash: 160k - 300k - Equity: Equity Provided - Location: Redwood City, CA, US - relocation provided - US Visas: Retell AI is open to sponsoring work authorization for qualified candidates, including H1B/H-1B, TN, L-1, E-3, F-1 (OPT/CPT), and O-1 visas. OTHER BENEFITS - 100% coverage for medical, dental, and vision insurance - $70/day DoorDash credit for unlimited breakfast, lunch, dinner, and snacks - $200/month wellness reimbursement (gym, fitness classes, etc.) - $300/month commuter reimbursement (gas, Caltrain, etc.) - $75/month phone bill reimbursement - $50/month internet reimbursement COMPENSATION PHILOSOPHY - Best Offer Upfront: Choose from three cash-equity balance options; no negotiation needed. - Top 1% Talent: Above-market pay (top 5 percentile) to attract exceptional builders. - High Ownership: Small teams, >$1M revenue/employee, and significant equity. - Performance-Based: Offers tied to interview performance, not experience or past salaries. INTERVIEW PROCESS 1. Recruiter Intro Call (15 min): Learn more about Retell and share your background and experience. 2. Technical Interview (60 min): Live coding and API-focused technical screen. 3. Product & Customer Screen (60 min): Focused on product understanding and how customers use Retell. 4. Onsite/Virtual Interviews (2 hrs): 90-minute technical interview followed by a 30-minute meeting with the team.
Staff Software Engineer, Identity & Authorization
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE TEAM Product Platform builds and owns the shared foundations the rest of Replit is built on, spanning the full stack so every other team can ship features safely and quickly. Identity & Authorization defines how people, agents, sandboxes, and services prove who they are and what they can do. These systems protect critical product and service interactions across Replit's web product, Agent, enterprise controls, and internal services. Our work is high-leverage and horizontal: when identity and policy are clear, reliable, and easy to adopt, every other team can move faster without rebuilding security controls. We are a small, collaborative team that values curiosity and clear thinking over pedigree, and we work in the open by bringing each other the problem rather than just the request. We care more about how you reason and build than the route you took to get here. ABOUT THE ROLE As a Software Engineer, you will design, build, and operate the identity and authorization systems that protect critical interactions on Replit, including Agent acting on behalf of a user or holding their own identity. The work is guided by a few simple questions: - Can every protected request prove which workload made it, which principal it represents, and who is acting on that principal's behalf? - Can product teams express policy once and trust the same decision across web, mobile, Agent, and internal services? - Can enterprise administrators control who can access each workspace, app, connector, and Agent capability without navigating a permission maze as well as having a legible ledger of decisions? - Can Agent act for a user across long-running and durable work without receiving broad or long-lived credentials? - Are identity and authorization fast, reliable, highly available, and observable enough for the product flows that depend on them? WHAT YOU'LL DO - Design and operate central authorization interfaces with typed principals, actions, resources, decisions, explainable deny reasons, privilege attenuation, delegations, and obligations - Evolve enterprise roles, groups, app access, entitlements, and workspace policy so common cases stay simple and advanced cases remain possible - Build and operate Replit's Security Token Service and workload identity using OAuth 2.0 token exchange, JWT/OIDC, SPIFFE/SPIRE, and mTLS - Threat-model delegation, confused-deputy risks, and cross-tenant movement, then make secure, fail-closed behavior the default - Lead compatible migrations with shadow evaluation, feature gates, telemetry, and rollback plans, and own the SLOs, incidents, and operational health of the systems you ship - Partner with Agent, Connectors, Enterprise, Security, and Infrastructure teams to turn product requirements into shared platform primitives - Research and develop new innovative approaches to Authx in the Agentic world AREAS YOU MIGHT WORK IN - Authorization policy: evolve Replit's central policy decision point and migrate fragmented authorization checks to its typed contract. - Agent delegation: extend the current delegation foundation so the user is the subject and Agent is the authenticated actor, with continuous validation and dynamic permission envelopes as work runs. - Enterprise access control: evolve roles, groups, workspace policy, and app-level grants for both simple collaboration and complex organizations. - Agent and service identity and reliability: operate the token and workload-identity systems that protect service-to-service traffic. REQUIRED SKILLS AND EXPERIENCE - Experience shipping and operating security-sensitive backend or distributed systems in production, including reliability, performance, incidents, and observability - Depth in authentication, authorization, or identity systems, such as OAuth 2.0/OIDC, JWT, mTLS, Identity Federation, RBAC, ReBAC, PBAC, Zanzibar, Macaroons, Biscuits, Cedar, or policy engines. You do not need prior experience with every item - Strong understanding of multi-tenant security, least privilege, delegation, privilege attenuation, auditability, and threat modeling - Experience migrating security-sensitive systems without breaking callers. Approaches can include typed contracts, shadow evaluation, and staged enforcement - Fluent in at least one production backend stack. Our systems use TypeScript, Go, Rust, Postgres, gRPC/Protobuf, Kubernetes, Envoy, and Restate - Able to make and communicate tradeoffs across security, reliability, latency, product experience, delivery speed, and long-term maintainability If you're excited about this role but don't meet every requirement, we still encourage you to apply. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Staff Software Engineer, Agentic Commerce & Paymen...
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Make Replit the single place where businesses can buy everything they need through their agents. As a Staff Software Engineer on Replit’s Money team, you’ll set technical direction and build the commerce platform that lets users discover, evaluate, purchase, and manage the products and services they need to build and run their businesses—without leaving Replit. Replit already enables businesses to accept payments through integrations such as Stripe. This role builds on that foundation to expand what businesses can buy and accomplish through Replit Agent. You’ll design commerce experiences that combine the simplicity consumers expect with the controls enterprises need, making agent-assisted purchasing useful, trustworthy, and reliable. You’ll own architecture and lead cross-team delivery across merchant and service-provider integrations, agent tools, purchasing workflows, and the lifecycle after a transaction. The challenge goes beyond executing a payment: agents need to understand what a user wants, present clear choices and costs, act within delegated authority, and verify that the purchase delivered the intended outcome. You’ll stay hands-on with design and code while aligning partners, mentoring engineers, and turning an ambitious product vision into incremental customer value. Set the architecture and technical roadmap for agentic commerce, making Replit a single place to discover, buy, and manage the products and services businesses need. YOU WILL: - Lead end-to-end purchasing experiences through Replit Agent: translate user intent into relevant options, communicate prices and terms, obtain appropriate authorization, execute purchases, and confirm fulfillment or provisioning. - Build extensible integrations with merchants, software vendors, and service providers so the platform can expand its commerce offering without rebuilding each workflow from scratch. - Build on existing Stripe and payments capabilities, extending payment integrations where needed to support new purchasing experiences rather than treating basic payment acceptance as a greenfield problem. - Design agent-facing APIs and tools with clear contracts, secure credentials, scoped permissions, spending limits, and appropriate confirmation for consequential actions. - Partner with product and security to support enterprise purchasing requirements such as role-based access, approval workflows, purchasing policies, and auditable transaction histories, while keeping simpler purchases easy. - Own the purchase lifecycle beyond checkout: provisioning and access, order and subscription state, receipts, renewals, cancellations, refunds, and reconciliation across providers. - Make agent-driven transactions reliable with idempotency, verified events, durable state, safe retries, and recovery from partial failures; evaluate whether workflows complete the authorized task without duplicate purchases or unintended spend. - Lead ambiguous initiatives across teams, define incremental milestones, stay hands-on with implementation, and raise the engineering bar through mentoring, design reviews, and production ownership. REQUIRED SKILLS AND EXPERIENCE: - A track record of Staff-level technical leadership on complex customer-facing products or platforms, taking ambiguous initiatives from architecture through launch and production operation across multiple teams. - Strong hands-on engineering and system design skills, including API design, data modeling, distributed workflows, and thoughtful evolution of existing systems. - Experience building extensible third-party integrations and handling asynchronous events, duplicate requests, partial failures, and changing provider capabilities. - Strong product judgment: you can turn complex, multi-step workflows into simple user experiences and balance rapid delivery with correctness and long-term flexibility. - A security-conscious approach to authentication, authorization, credentials, sensitive data, and actions performed on a user’s or organization’s behalf. - Demonstrated ability to align engineering and cross-functional partners on technical direction, document decisions clearly, and drive execution without relying on reporting authority. - Experience mentoring engineers and improving the quality of architecture, implementation, and operations beyond your own projects. - Comfort using AI-assisted development tools while taking responsibility for the correctness, security, and maintainability of the code you ship. PREFERRED QUALIFICATIONS - Experience building commerce platforms, marketplaces, purchasing or procurement systems, or products that connect buyers with multiple vendors. - Experience with agent tool calling, multi-step agent workflows, or evaluations for reliable execution of actions against external systems. - Familiarity with payment and purchase lifecycles, including authorization, checkout, subscriptions, fulfillment or provisioning, refunds, and reconciliation. - Experience building enterprise capabilities such as approval workflows, role-based access, purchasing policies, budget controls, or audit trails. - Experience with Stripe or other payment providers, developer platforms, or partner integration ecosystems. BONUS POINTS: - Experience with emerging agentic-commerce protocols, MCP, or delegated authorization for agent-initiated transactions. - Experience integrating software and service catalogs, pricing and availability, entitlements, or automated provisioning. - Familiarity with recurring and usage-based costs, renewal management, international purchasing, or multi-provider transaction workflows. - These are additional strengths, not a checklist; prior experience spanning every commerce domain or payment provider is not expected. WHAT WE VALUE: - Customer outcomes: success means a business can get what it needs through its agent, with clear costs and a verified result—not merely a completed API call. - User control and trust: agents act within explicit authority, surface consequential choices, and make purchases and ongoing commitments understandable. - Consumer simplicity and enterprise readiness: straightforward experiences should coexist with the controls organizations need. - End-to-end ownership: we own the experience from intent through purchase, fulfillment, and ongoing management. - Pragmatic technical leadership: we build on what exists, deliver incremental value, and invest in correctness and extensibility where they matter. - Clear collaboration: we document decisions, surface risks early, and help other teams and partners succeed. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Staff Software Engineer, Agent Platform
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT REPLIT Replit is building the world’s most ubiquitous AI coding agent. Replit Agent can be used by anybody to bring their ideas to life. Whether it’s an app for yourself, the next great startup idea, or a tool to make you more productive at work, Replit Agent can help build it. Replit is also the leader in secure vibe coding. We protect apps, give users features to manage security risks, and help them vibe code more safely. ABOUT THE ROLE In this role you will build powerful tools that help product engineers iterate rapidly on the Agent experience and directly enhance the core Agent itself. You’ll bridge the gap between the AI team (working on the core Agent logic) and the UX team (crafting delightful Agent experiences), enabling both groups to excel within their specialties. This role blends systems engineering, developer experience and product engineering. We tackle complex challenges across the full stack, from browser-based interfaces to high-performance backends to Linux systems engineering. We’re looking for engineers who have a keen sense of the product experience and how to power it with performant systems. On this team, you’ll have the opportunity to grow your skills across our infrastructure and product, and to lead end-to-end efforts with meaningful impact. We value diverse perspectives and encourage candidates from all backgrounds and experiences to apply. YOU WILL - Build high-throughput backend applications and services, like streaming chat between user and agent. - Design a collaborative "Multiplayer Computer" that lets humans and AI agents work together on shared shells, filesystems, and state—conflict-free and in real time. - Develop infrastructure (frontend & backend) that empowers product engineers to rapidly ship delightful user experiences. - Design and build durable, well-crafted interfaces between the Agent and internal systems, as well as external agentic systems (MCP) REQUIRED SKILLS AND EXPERIENCE - 8+ years professional experience in building backend services, systems and platforms - Someone who values simplicity and pragmatism—you think radically but ship incrementally. - Self-directed and comfortable working autonomously. - Collaborative and team-oriented with a strong sense of shared ownership. PREFERRED QUALIFICATIONS - Experience across the full-stack. - Experience building AI powered tooling or products. - Experience with collaborative editing technologies such as Operational Transforms (OT), CRDTs, or the inner workings of Git. - Experience with event sourcing systems. WHAT WE VALUE - Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions - Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams - Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences - Continuous learning: Passion for staying current with industry best practices and new technologies - Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Commercial Counsel
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. We're seeking an experienced Commercial Counsel to join our growing legal team and serve as a strategic partner to our rapidly expanding enterprise sales organization. In this high-impact role, you'll drive complex commercial negotiations that fuel our growth, working closely with our sales teams to close sophisticated technology agreements with enterprise customers across diverse industries. You'll play a critical role in scaling our commercial legal processes while navigating the evolving landscape of AI-powered development tools and ensuring our customers can confidently deploy Replit's platform in their organizations. WHAT YOU'LL DO - Drive Enterprise Deals: Serve as the lead legal advisor for complex, high-value enterprise sales transactions, working directly with our Account Executives and customer legal teams to negotiate and close sophisticated software agreements - Navigate AI & Technology Compliance: Help enterprise customers understand and navigate the legal and regulatory implications of adopting AI-powered development tools, addressing data privacy, security, and compliance requirements across various industries - Build Scalable Frameworks: Design and implement contract playbooks, template agreements, and streamlined processes that enable our sales team to move quickly while maintaining legal rigor as we scale - Risk Management: Identify, analyze, and proactively manage complex commercial and legal risks while maintaining deal velocity in our fast-paced, high-growth environment - Cross-Functional Partnership: Collaborate closely with Product, Engineering, Security, and Privacy teams to ensure our commercial offerings align with product capabilities and regulatory requirements - Strategic Advisory: Provide strategic guidance to leadership on commercial legal matters, emerging AI regulations, and market trends affecting developer tools and enterprise software adoption - Customer Relationship Building: Foster strong relationships with enterprise customer legal teams, becoming a trusted advisor who helps facilitate smooth adoption of Replit's platform YOU MIGHT BE A GOOD FIT IF YOU HAVE - Legal Foundation: JD from an accredited law school and active membership in at least one U.S. state bar - Commercial Experience: 5-7 years of relevant legal experience supporting enterprise software sales and complex commercial transactions, preferably at high-growth technology companies - Technology Focus: Strong background in SaaS agreements, software licensing, and technology transactions, with bonus points for experience with AI/ML tools, developer platforms, or cloud infrastructure - Deal Velocity: Proven track record of successfully closing complex, multi-stakeholder deals in fast-paced environments while balancing legal risk with business objectives - Business Acumen: Exceptional business judgment and ability to provide practical, solutions-oriented legal advice that enables (rather than blocks) commercial success - Communication Skills: Outstanding written and verbal communication abilities, with experience presenting to and influencing C-level executives and enterprise customer stakeholders - Startup DNA: Thrives in ambiguous, rapidly evolving environments where you'll need to build processes from the ground up and adapt quickly to changing priorities - Collaboration: Collaborative mindset with a track record of building strong cross-functional relationships and supporting high-velocity sales processes BONUS POINTS IF YOU HAVE - In-House Experience: Previous in-house counsel experience at technology companies, particularly those serving enterprise customers or developer audiences - AI/Developer Tools: Experience with AI, machine learning, or developer platform companies, including understanding of the unique legal considerations around code generation and AI-assisted development - Industry Knowledge: Experience working with enterprise customers in regulated industries or understanding of compliance requirements across different sectors - Scale Experience: Experience supporting sales teams through hypergrowth phases, including building legal processes that scale with rapid revenue expansion This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Account Executive (Japan)
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Replit is experiencing extraordinary demand and seeking an Account Executive with strong communication skills to drive our hyper-growth. Candidates with SaaS experience, particularly with some technical background (i.e. having some coding knowledge or prior experience at other developer tool companies) are ideal. This full-cycle sales position encompasses new client acquisition. We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for driving sales and AI. You'll leverage your skills to effectively communicate Replit's value proposition: a world where anyone can create software using natural language. IN THIS ROLE YOU WILL: - Evangelize a future where anyone can create software in natural language, ushering in a change in the nature of the firm on par with the PC era - Serve as the primary point of contact for prospects and customers, guiding them through the buying journey - Conduct compelling product demonstrations and help realize the art of the possible by orchestrating non-engineering hackathons - Articulate Replit's value proposition and align it with customers' business objectives - Collaborate with product and engineering teams to ensure technical accuracy and successful delivery - Prepare tailored quotes and skillfully negotiate deals - Maintain accurate customer and forecasting data in Replit’s CRM (Hubspot) - Foster strong relationships with existing clients while identifying opportunities for expanded adoption - Optimize customers' use of the Replit platform through ongoing collaboration and support - Gather and communicate valuable customer feedback, championing their interests within Replit REQUIRED SKILLS AND EXPERIENCE: - Experience in AE or SE/technical sales role, preferably in SaaS or developer tools - Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical audiences - Proven track record of meeting or exceeding sales quotas - Experience with, or direct observations of full-cycle sales, from prospecting to closing deals to managing existing customers - Proficiency in using CRM systems and sales tools (e.g., Hubspot) - Ability to quickly learn and articulate the value of new technologies - Strong problem-solving skills and the ability to think on your feet - Self-motivated with excellent time management and organizational skills - Passion for technology and staying current with industry trends - Experience with or strong interest in AI and machine learning is a plus - Willingness to travel up to 25% of the time for client meetings and events NICE TO HAVE: - You're an active Replit user - You've worked at an early-stage startup or in developer tools - Degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience) TOOLS + TECH STACK FOR THIS ROLE: - Replit - Hubspot CRM - ZoomInfo - Clay - SmartLead - LinkedIn Sales Navigator - Hashboard, Hex THIS ROLE MAY NOT BE A FIT IF: - You’re not based in Japan - You lack an understanding of the software development lifecycle; have little to no coding knowledge - You’re not passionate about AI - You don’t enjoy being in client facing roles where 80% of your day is talking to others Note: This role will begin as remote, with plans to transition to a hybrid model once we establish a local office presence. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Subject Matter Expert
OUR MISSION Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all. ROLE OVERVIEW As a Subject Matter Expert, Election Integrity, Violent Extremism, & Fraud, you are our internal authority on preventing, detecting, and responding to election-related manipulation (e.g., coordinated influence operations, voter suppression content, fabricated or misleading claims about voting), terrorist and violent extremist content (TVEC), and fraud and deception (e.g., scams, phishing, impersonation, financial fraud, and other deceptive schemes) generated or facilitated through Reflection's models and products. You will define how the lab thinks about these harms, translate that expertise into concrete enforcement workflows and detection strategies, and act as a critical gatekeeper ensuring our open releases meet our commitments in these areas. You will own election integrity, violent extremism, and fraud evaluations, human grading, auto-grading, and enforcement end to end: standing up and scaling review workflows, serving as the primary point of contact for those who conduct content review, as well as conducting them yourself, driving model launch evals on novel or ambiguous cases, and partnering closely with our technical Safety team, Alignment, Policy, and Legal teams to close gaps as the threat landscape evolves. You will also represent Reflection's work in these areas externally with reporting bodies, NGOs, researchers, election officials, financial-sector and anti-fraud partners, and, where appropriate, law enforcement. In this position you will regularly be exposed to and engage with content that may be violent, graphic, hateful, or psychologically disturbing, including terrorist and violent extremist material and depictions of real-world violence. You may also review deceptive and fraudulent material, including content designed to defraud or harm vulnerable people. Reflection takes the wellbeing of team members working in this area seriously. We ask candidates to consider this aspect of the role carefully before applying. WHAT YOU'LL DO - Serve as Reflection's internal subject matter expert on election integrity, coordinated influence operations, terrorism and violent extremism, and fraud and deception, and set the standards, definitions, and escalation thresholds the lab operates against. - Partner with Safety research,Safety postraining, and Safety Evals teams to create new automated evaluations. - Own the day-to-day operation of election integrity, violent extremism, and fraud content evaluation and review workflows, including task routing, queue management, quality assurance, escalation handling, and SLA monitoring. - Serve as the primary point of contact for review partners conducting this content review, including onboarding, training, calibration, and ongoing support. - Review novel or ambiguous flagged content to drive enforcement decisions, and surface policy and product gaps to the Alignment, Safety, and Policy teams. - Partner with engineering to design, evaluate, and improve detection models, hash-matching pipelines (e.g., known-terrorist-content databases), fraud and abuse detection systems, and automated enforcement systems, and to build these considerations into our pre-release evaluation and red-teaming process. - Validate that models meet Reflection's election integrity, violent extremism, and fraud risk thresholds before open weights ship. - Develop and maintain internal documentation, decision trees, and review guidelines that enable accurate, consistent enforcement at scale. - Identify and report emerging misuse patterns and threat actor behavior to internal stakeholders across the company. - Coordinate reporting and information-sharing obligations to relevant external bodies (e.g., GIFCT, election authorities, anti-fraud and financial-sector partners) in accordance with applicable law and Reflection policy. - Stay current on evolving legal frameworks, enforcement best practices, and threat-detection technology, and use these to keep our workflows ahead of the threat landscape, including through major election cycles worldwide and fast-moving fraud and scam trends. WHAT WE'RE LOOKING FOR - Deep subject matter expertise in one or more of: election integrity, disinformation and influence operations, counterterrorism and violent extremism, or fraud and deception (e.g., scams, phishing, impersonation, financial fraud). - Experience in trust & safety, content moderation operations, or policy enforcement with direct exposure to election-related harms, terrorist or violent extremist content, fraud, or related harm areas. - Experience managing or coordinating content review operations, including quality assurance and workflow management. - Experience standing up and scaling policy enforcement or content review workflows. - Proficiency in SQL and/or other data analysis tools to monitor workflow health, review-queue metrics, and enforcement trends. - Track record of identifying emerging risks and communicating findings clearly to cross-functional stakeholders across Product, Policy, Engineering, and Legal. - Sound judgment under time pressure and comfort making high-stakes decisions, including ones that affect whether a model ships. - Familiarity with content classification frameworks for terrorist and violent extremist material, with influence-operation taxonomies (e.g., ABCDE / DISARM frameworks), and with common fraud and scam typologies. - Familiarity with relevant legal and regulatory frameworks, including the EU Digital Services Act, the EU TCO Regulation, election-related transparency laws, consumer-protection and anti-fraud regulations, or equivalent international frameworks. - Experience with generative AI products and an understanding of how AI systems can be misused to generate or facilitate influence operations, violent extremism, or fraud. - Experience with hash-matching or perceptual hashing technologies used in detecting known violent extremist content. - Familiarity with provenance and content-authenticity technologies (e.g., C2PA) and their role in election integrity and anti-fraud efforts. - Experience designing or evaluating trauma-informed support structures and wellness protocols for content reviewers. - Proficiency in Python for workflow automation or data analysis. - Additional language proficiency beyond English. We encourage you to apply even if you don't meet every qualification. Not all strong candidates will meet every item listed, and we'd rather hear from you than have you exclude yourself prematurely. WHAT WE OFFER: We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported. - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally. - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options. - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance. - Meals: Lunch and dinner are provided in the office daily. - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys. - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K. - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable. - Team building: We have regular off-sites, happy hours, and team celebrations. Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization. Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf
Sovereign Deal Lead
OUR MISSION Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all. EXECUTIVE SUMMARY Reflection partners with governments, sovereign-backed enterprises, and major conglomerates to build region-scale AI infrastructure and inference businesses—deals worth nine to ten figures that have no template. For many of these organizations, AI is not simply a technology investment; it is a new revenue stream and an opportunity to become a region-leading provider of AI infrastructure and services. These engagements require strategic commercial leaders to structure deals, navigate complex organizations, and connect technical capability to a credible business model across infrastructure, deployment, distribution, and expansion. This role requires the executive presence to operate with chairs and CEOs, the creativity to shape partnerships that do not yet have a standard template, and the operating discipline to carry them from initial vision through signed agreement and deployment. WHAT YOU'LL DO - Lead large-scale engagements end-to-end—from executive vision and business-case development through evaluation, commercial negotiation, deployment, and expansion. - Build and deepen trusted relationships with boards, C-Suite leaders, and technical teams, and communicate their priorities back into the company. - Navigate complex enterprise structures (e.g., conglomerates) to find where authority, budget, data, infrastructure, and operating leverage sit across the parent company, shared-service organizations, and portfolio businesses. - Translate advanced open-weight LLMs and token factory software offerings into strategic and financial outcomes by connecting model capability, customization, proprietary data, infrastructure, security, governance, and support. - Position Reflection as a long-term strategic AI partner across opportunities such as enterprise agents, software engineering, R&D, industrial operations, supply chains, and customer experiences. - Run disciplined account planning, qualification, value modeling, pricing, forecasting, executive sponsorship, and post-sale expansion for your strategic engagements. WHAT WE'RE LOOKING FOR - A track record of creating, shaping, and closing complex, multi-year agreements—likely contributing seven-figure+ revenue or comparable strategic importance. - Executive presence, exceptional communication, and a hands-on operating style; comfortable engaging a chair or CEO, working through architecture with technical leaders, improving a proposal, and moving a difficult deal forward. - Proven ability to navigate federated organizations with multiple business units, competing priorities, shared services, complex procurement, and both corporate and operating-company decision-makers. - Technical credibility selling AI/ML, cloud, data infrastructure, cybersecurity, developer platforms, or complex technology to large strategic customers. - Strong commercial mindset with demonstrated ability to build an executive-level business case, structure enterprise agreements, and connect technical adoption to measurable operating outcomes. - Experience operating across cultures and geographies, with the willingness to travel extensively for customers and partners. WHAT WE OFFER: We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported. - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally. - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options. - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance. - Meals: Lunch and dinner are provided in the office daily. - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys. - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K. - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable. - Team building: We have regular off-sites, happy hours, and team celebrations. Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization. Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf
Product Counsel, Data & Search
OUR MISSION Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all. ABOUT THE ROLE We are seeking a Data Product counsel to lead the legal support for our teams securing and developing data to help power the next generation of frontier AI models and developing agentic search capabilities for our future products. You will work at the frontier of AI law, translating US and international legal regimes and regulations relating to the use of data for different model and product types and building these into actionable product roadmaps. You will also support our teams as they explore the evolution of agentic and search capabilities. You will be a strategic partner to cross-functional teams across a hyper-scaling AI lab, ensuring that our frontier open foundation models have access to essential data whilst being built responsibly. You will advise on US and international AI laws and regulations applicable to both the use of data and agentic frameworks. You will work closely with our product, research, engineering and safety teams as well as other business operations and compliance units to implement measures that ensure our models are responsibly developed. This is a high-impact, build-stage role. You will not simply answer one-off legal questions; you will help design the policies, review processes, escalation pathways, and business-facing guidance that allow Reflection to move quickly while maintaining a mature and defensible compliance posture. WHAT YOU’LL DO - Act as Reflection’s primary legal contact for our pre-training and data teams, advising on existing and developing laws and regulations that impact the acquisition and utilisation of data for AI training and development across Reflection’s product teams. - Act as Reflection’s primary legal contact for agentic and search-based product proposals, advising on this evolving area of law and regulation. - Provide focused legal advice relating to legal risks and compliance requirements relating to the use of data for AI training and development, including intellectual property, privacy, licensing and AI regulation. - Design and implement data integrity standards and processes to manage risks relating to data use and acquisition. Advise on existing and developing US and international regulations relating to data use and development. Develop policies alongside the data and training teams to ensure Reflection’s models meet data provenance, tracking and usage requirements and standards. Help establish a risk-based compliance posture for AI-specific data requirements. - Partner with cross functional teams to implement data controls that allow for responsible model releases and ensure Reflection addresses current and future data regulations and laws. - Advise on data considerations in commercial and strategic transactions including partnerships with customers, data and model collaborations and research partnerships. - Help support the building of agentic capabilities and advising the product teams on legal and compliance requirements including intellectual property, safety, security, privacy and AI regulation. - Monitor legal and regulatory developments from Congress, the White House, the EU, UK, and other relevant authorities, and translate those developments into practical guidance for leadership and operators. WHAT WE’RE LOOKING FOR - J.D. and active bar membership (or in-house registration) in at least one U.S. jurisdiction. - Approximately 10+ years of experience product counselling and advising companies of legal risks in the technology sector, especially in sectors such as artificial intelligence, cloud computing, semiconductors, advanced computing, cybersecurity, infrastructure, data centers, or other strategically sensitive technologies. - Strong experience identifying and addressing complex legal issues relating to product, regulatory, intellectual property, commerce, privacy, and other legal risks and mitigations. - Experience advising on U.S. and International legal, regulatory and litigation matters applicable to AI products and data usage, including advising to address, minimise and avoid regulatory risks. - Strong ability to exercise independent judgment and take proactive steps in areas where the law is evolving, agency guidance is incomplete, or the business context does not fit neatly into legacy regulatory categories. - Excellent cross-functional communication skills, including the ability to explain complex legal requirements to engineers, researchers, infrastructure teams, commercial teams, executives, and non-lawyer operators. - Ideally, prior experience at a high-growth technology company, AI lab, cloud provider or other technology business addressing legal risks associated with the acquisition and use of data. Bonus points for experience with open source access technology. - Ideally prior experience addressing issues relating to agentic and/or search capabilities in the context of AI development. WHAT WE OFFER: We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported. - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally. - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options. - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance. - Meals: Lunch and dinner are provided in the office daily. - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys. - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K. - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable. - Team building: We have regular off-sites, happy hours, and team celebrations. Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization. Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf
Senior Software Engineer
On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise. Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. #LI-MB1 About the Role We’re looking for an experienced Senior Software Engineer to join our Concierge team. Help shape our Perioperative Care Coordination solution that uses assistants to automate and streamline pre-admission testing workflows for hospital staff. It's designed to reduce the administrative burden on nurses and other healthcare workers so they can focus on patient care. Build scalable, intelligent systems that enhance the efficiency and reliability of these automated workflows. You’ll work cross-functionally with engineering and product to shape solutions that deliver measurable value. This is a high-impact role that will influence our platform, strengthen customer outcomes, and shape our company’s growth trajectory. Key Responsibilities - Develop a deep understanding of workflows, hospital operations, and user needs to identify high-leverage opportunities that improve efficiency and reduce administrative burden for clinical staff. - Collaborate closely with engineers and product managements to define and refine product requirements - Own the design, execution, and optimization of the Concierge product - Engage with customers and stakeholders to validate concepts and gather feedback - Ensure a seamless user experience that balances simplicity, rigor, and delight - Mentor and support cross-functional teammates across engineering - Deliver and communicate a cohesive product vision that aligns with company goals What We’re Looking For - 4+ years of experience in product engineering - Proven track record in delivering engineering solutions in a fast-paced remote startup environment - Strong communicator with the ability to influence and collaborate across all levels - Hands-on deep experience with distributed systems and Python - Familiarity with AI-first agentic software development lifecycle - A systems thinker who balances big-picture vision with attention to detail - Passion for real-world impact and solving meaningful problems Bonus Points For - A strong interest in ChatGPT, LLMs, and other GenAI technologies - Background in health tech Compensation for this role is based on market data and takes into account a variety of factors, including location, skills, qualifications, and prior relevant experience. Salary is just one part of the total rewards package at Qventus. We also offer a range of benefits and perks, including Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, a generous employee referral bonus, and employee stock option awards. Salary Range $180,000 - $210,000 USD Qventus values diversity in its workforce and proudly upholds the principles of Equal Opportunity Employment . We welcome all qualified applicants and ensure fair consideration for employment without discrimination based on any legally protected characteristics, including, but not limited to: veteran status, uniformed service member status, race, color, religion, sex, sexual orientation, gender identity, age, pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, "protected characteristics"). Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee, including supervisors and co-workers. Qventus participates in the E-Verify program as required by law and is committed to providing reasonable accommodations to individuals with disabilities in compliance with Americans with Disabilities Act (ADA) . In compliance with the California Consumer Privacy Act (CCPA) , Qventus provides transparency into how applicant data is processed during the application process. Candidate information will be treated in accordance with our candidate privacy notice. *Benefits and perks are subject to plan documents and may change at the company's discretion. *Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.
Product Operations Lead
On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise. Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. #LI-MB1 The Role We're seeking a passionate and strategic Product Operations Lead to take our R&D operations to the next level. In this role, you'll own the management of core product operations to deliver maximum impact - leading our company-wide roadmapping, driving key performance metrics, and owning the refinement and management of our core processes and tools - while also reshaping how R&D builds for tomorrow through AI. In this role, you’ll also lead our AI SDLC transformation across R&D. At its center is a bold vision - enabling any R&D team member, human or AI agent, to take an initiative from idea to "almost done" independently. You'll lead the development of the foundational context, policies, and tooling that make this possible, as well as the change management to shepherd the R&D team through this new way of working. It's a high-visibility, influence-driven role with a unique scope - running the operational engine of R&D while spearheading the reinvention of how that engine works. Responsibilities - Lead overall development & strategy setting for operations across Product & Engineering — setting key performance targets, tracking outcomes, and driving strategic initiatives. - Own and drive the AI SDLC transformation across R&D — champion and operationalize the vision of enabling any team member (engineering, product/design, or AI agent) to take an initiative from “idea” to “almost done” (short of code review) on their own. - Define and manage the roadmap to achieve the vision — org-wide foundational context, harness and tooling, and the agents, skills, and workflows built on top. - Spearhead change management across the R&D organization. - Iterate on the roadmap based on feedback and learnings. - Facilitate the company roadmapping process — standardized mechanisms for intake of input, execution of roadmapping activities, cross-team dependency management, alignment of OKRs, and distribution of roadmap content. - Manage the Solution Development Lifecycle across our key solutions — facilitating launches, tracking experiments, and ensuring high-quality documentation across teams. - Operate as the initial point of contact for the product team in company-wide initiatives such as evolving onboarding, knowledge management, and employee growth & development. - Lead and coordinate strategic meetings across Product, Engineering, and cross-functional leadership. - Identify and evolve bottlenecked processes , applying strategic thinking to streamline operations and improve overall team efficiency. Requirements and Qualifications - Demonstrated experience beginning to drive an AI-driven SDLC transformation. - Deeply AI-pilled — current, hands-on fluency with coding agents and agentic workflows, and active experimentation with AI tools in your professional and personal life. - Strong change management experience and skills — you’re able to rally and move a cross-functional team (engineers, product leaders, and designers) around new ways of working without relying on direct authority. - Strong operational skills, such as measuring & regularly reporting on key metrics that drive toward key insights & effective decision-making. - Highly adaptable with strong critical thinking skills, capable of evolving processes, addressing bottlenecks, and responding to operational challenges. - Impeccable organizational skills and attention to detail. - Excellent written and verbal communication skills; strong, professional presence in working with customers / partners (including C-Suite executives). - Willingness to “roll up your sleeves” and pitch in / fill in gaps when a team needs help. - Nice to haves: product management experience, project management certification, experience in healthcare technology. Compensation for this role is based on market data and takes into account a variety of factors, including location, skills, qualifications, and prior relevant experience. Salary is just one part of the total rewards package at Qventus. We also offer a range of benefits and perks, including Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, a generous employee referral bonus, and employee stock option awards. Salary Range $150,000 - $200,000 USD Qventus values diversity in its workforce and proudly upholds the principles of Equal Opportunity Employment . We welcome all qualified applicants and ensure fair consideration for employment without discrimination based on any legally protected characteristics, including, but not limited to: veteran status, uniformed service member status, race, color, religion, sex, sexual orientation, gender identity, age, pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, "protected characteristics"). Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee, including supervisors and co-workers. Qventus participates in the E-Verify program as required by law and is committed to providing reasonable accommodations to individuals with disabilities in compliance with Americans with Disabilities Act (ADA) . In compliance with the California Consumer Privacy Act (CCPA) , Qventus provides transparency into how applicant data is processed during the application process. Candidate information will be treated in accordance with our candidate privacy notice. *Benefits and perks are subject to plan documents and may change at the company's discretion. *Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.
Principal Product Manager
On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise. Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. #LI-MB1 We’re looking for a Principal Product Manager to work on exciting, high-growth products at the intersection of generative AI and healthcare . Using your product management expertise, combined with your drive and passion for making a difference, you’ll work with multiple talented teams across Qventus to discover, define, execute, and launch new products & features, as well as to improve and optimize our existing products. Key Responsibilities: - Lead a team of engineers, data scientists, designers, and clinical experts from discovery through launch - Spend time with users and buyers, from frontline staff to C-suite executives, to find the problems worth solving - Write clear requirements, stay involved through design and development, and manage the backlog - Define success for each release, measure it, and keep improving the product after launch - Mentor other PMs and help shape how we do product work at Qventus - Build relationships with customers and outside experts that inform where the product goes next What success looks like - The PCC team, our key customers, and leadership trust you and support your roadmap - You've shipped improvements to PCC and can show their effect on customer outcomes What We’re Looking For: - Mastery of navigating enterprise products/solutions through the full product lifecycle - 8+ years of product management experience, much of it on enterprise B2B or SaaS products - A record of shipping quickly, with results you can point to - Experience setting direction across multiple teams without having direct authority over them - Hands-on experience building products that depend on data, analytics, and machine learning, including generative AI or LLM-based features - Strong writing and presentation skills, and confidence in front of customers and senior executives - Comfort working on strategy one day and in the weeds the next - A willingness to help wherever the team needs it, whether or not it's in your job description Qventus is on a mission to take modern technologies and principles that have been proven in other industries; artificial intelligence, machine learning, behavioral science, and data science. Apply them to simplify healthcare operations. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. Compensation for this role is based on market data and takes into account a variety of factors, including location, skills, qualifications, and prior relevant experience. Salary is just one part of the total rewards package at Qventus. We also offer a range of benefits and perks, including Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, a generous employee referral bonus, and employee stock option awards. Salary Range $165,000 - $220,000 USD Qventus values diversity in its workforce and proudly upholds the principles of Equal Opportunity Employment . We welcome all qualified applicants and ensure fair consideration for employment without discrimination based on any legally protected characteristics, including, but not limited to: veteran status, uniformed service member status, race, color, religion, sex, sexual orientation, gender identity, age, pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, "protected characteristics"). Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee, including supervisors and co-workers. Qventus participates in the E-Verify program as required by law and is committed to providing reasonable accommodations to individuals with disabilities in compliance with Americans with Disabilities Act (ADA) . In compliance with the California Consumer Privacy Act (CCPA) , Qventus provides transparency into how applicant data is processed during the application process. Candidate information will be treated in accordance with our candidate privacy notice. *Benefits and perks are subject to plan documents and may change at the company's discretion. *Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.
Implementation Engineer
On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise. Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. #LI-MB1 About the Role Qventus is seeking an Implementation Engineer to lead the delivery of our Inpatient and Surgical Growth solutions at scale. Our platform helps health systems optimize patient flow, reduce length of stay, improve discharge planning, and drive surgical growth and OR utilization through AI-powered workflows and predictive analytics. In this role, you will serve as the technical expert for our suite of products — communicating requirements to external clients and internal teams, managing hospital-specific data transformations, building custom EHR integrations, executing product configuration and data validation, and supporting clinical workflow rollouts. You will work closely with hospital stakeholders and R&D counterparts to deliver scalable, high-quality data pipelines that drive measurable improvements across inpatient operations and surgical growth. Key Responsibilities - Communicate technical product requirements and provide support to external clients and internal development teams, ensuring optimal utilization of Qventus modules; gather and analyze user requirements, translate them into technical specifications, and develop configuration plans with appropriate timelines. - Serve as the expert for the Qventus product suite, with deep knowledge of the data structures, relational databases, integrations, reporting, and metric development that underpin each module, including AI/ML-powered inpatient and surgical growth workflows and real-time analytics. - Lead technical implementations of Qventus solutions end-to-end, including Inpatient Operations and Surgical Growth: validate clinical data sources, configure relevant capacity and workflow metrics (e.g., bed capacity, discharge planning, OR scheduling and case volume), and manage the full lifecycle from requirements through unit testing and customer sign-off. - Perform SQL-level checks on data integrity and system performance; develop, execute, refine, and optimize advanced SQL queries against databases (Redshift, Snowflake, Databricks, BigQuery) to validate data quality and system behavior. - Query relational databases and configure technical systems including Electronic Medical Record (EMR) systems; develop monitoring mechanisms and automated alerts to proactively identify and prevent production data quality issues. - Collaborate with Integration teams to identify and resolve data interoperability issues; perform root cause analysis on data pipeline failures, evaluate HL7/FHIR integration configurations, and implement corrections both historically and going forward. - Manage and execute data migrations from legacy hospital systems, minimizing disruption to patient care while maintaining data integrity throughout the transition. - Direct production support for customer issues post-deployment: actively monitor support channels, own issues from identification through resolution, and coordinate across internal teams to restore normal system function. - Develop deployment-related technical content and training materials, including starter content for product modules; deliver advanced technical training to new employees and customer teams, presenting complex technical concepts to both technical and non-technical audiences. - Identify process gaps within product administration and configuration; perform analysis to design optimal workarounds or reconfigurations, and make detailed technical recommendations to resolve platform deficiencies. - Participate in technical architecture discussions for hospital system integrations; identify improvements to Qventus solutions in collaboration with R&D partners and contribute to scalable, long-term platform evolution. What We’re Looking For - Demonstrated experience building, debugging, and enhancing production healthcare data transformation pipelines; highly proficient in SQL and at least one modern data warehouse (Snowflake, Databricks, Azure, BigQuery). - 3+ years of professional experience with modern programming languages such as Java, C/C++, or Python, with a dedication to high code quality. - Experience translating hospital requirements into technical designs for hospital operations (inpatient and/or surgical) and executing across multiple technologies and platforms in fast-paced environments (AWS preferred). - Understanding of healthcare data structures related to hospital operations, such as bed management, patient flow, OR scheduling, or surgical case volume; familiarity with relational database technologies including Redshift and RDS. - Strong verbal and written communication skills; ability to articulate technical issues clearly to clinical leadership, hospital IT teams, and non-technical stakeholders alike. It’s a Plus if You Have… - Degree in Computer Science, Engineering, Health Informatics, or a related field, or equivalent experience. - Experience with HL7, FHIR, or other healthcare data standards; familiarity with integration middleware such as Mirth or Rhapsody. - EHR system integration experience (Epic, Cerner, Meditech) and aptitude for interpreting complex clinical datasets, including length of stay, discharge barriers, bed utilization, OR block scheduling, or surgical case data. - Hands-on experience with dbt, Terraform, Looker, and/or Ansible; background building hospital performance metrics and real-time clinical monitoring systems. Compensation for this role is based on market data and takes into account a variety of factors, including location, skills, qualifications, and prior relevant experience. Salary is just one part of the total rewards package at Qventus. We also offer a range of benefits and perks, including Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, a generous employee referral bonus, and employee stock option awards. Salary Range $120,000 - $140,000 USD Qventus values diversity in its workforce and proudly upholds the principles of Equal Opportunity Employment . We welcome all qualified applicants and ensure fair consideration for employment without discrimination based on any legally protected characteristics, including, but not limited to: veteran status, uniformed service member status, race, color, religion, sex, sexual orientation, gender identity, age, pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, "protected characteristics"). Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee, including supervisors and co-workers. Qventus participates in the E-Verify program as required by law and is committed to providing reasonable accommodations to individuals with disabilities in compliance with Americans with Disabilities Act (ADA) . In compliance with the California Consumer Privacy Act (CCPA) , Qventus provides transparency into how applicant data is processed during the application process. Candidate information will be treated in accordance with our candidate privacy notice. *Benefits and perks are subject to plan documents and may change at the company's discretion. *Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.
Business Development Manager
On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise. Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. #LI-MB1 Business Development Managers (BDMs) play a critical role in creating early-stage pipeline and advancing opportunities within enterprise provider accounts. This role bridges marketing-generated demand (“MQL”) and sales-driven evaluations by owning the motions that move opportunities from Qualify → Discovery, and later, as they ramp up, Discovery → Evaluation in partnership with AVPs. The BDMs will engage in omnichannel lead generation—email, LinkedIn, and administrative calling—to activate cold or stalled accounts, warm target personas, and secure meaningful early conversations. They will partner closely with AVPs to tailor account-based programs for priority systems, execute targeted plays using solution-specific Sales Playbooks, and ensure exit criteria are met to progress opportunities. This individual partners closely with Sales, Marketing, and Product teams to gather discovery insights, build relationship maps, capture exit-criteria–aligned intel, and drive early traction that sets AVPs up for success. This is a high-impact, visible role for someone who is persistent, operationally excellent, highly organized, and comfortable navigating complex provider organizations. Key Responsibilities Opportunity Advancement (Primary Focus) - Own the early-stage advancement of opportunities from Qualify → Discovery, and as proficiency grows, Discovery → Evaluation. - Execute solution-specific Sales Playbooks to ensure all exit criteria are met before handoff. - Capture and document discovery answers (via email, prep, or call notes) to support progression. - Execute warm handoffs of qualified opportunities to AVPs with complete and accurate context. Omnichannel Outbound & Lead Generation - Run multi-channel outreach across email, LinkedIn, and administrative calling to activate early interest and secure meetings. - Engage cold accounts or pre-qualified accounts to generate first conversations for AVPs from Ideal Customer Persona (ICP) accounts - Conduct inbound lead triage and fast follow-up for prospects engaging with marketing assets or events. - Call clinical and operational office lines or executive assistants to schedule meetings and coordinate access. Account-Based Engagement & Territory Support - Partner with AVPs to tailor account-specific ABM plays using provided templates and messaging frameworks. - Customize persona-based outreach sequences and messaging for specific territories and strategic accounts. - Maintain and continuously refine Sales Navigator filters to ensure the right personas and accounts stay in focus. - Build and maintain relationship maps at the opportunity and account level to track influence, organizational structure, and decision pathways. - Ensure all relevant contacts are captured, enriched, and updated within Salesforce. - Manage account specific paperflite landing pages for prospect accounts Discovery Support & Insight Capture - Participate in early discovery calls (typically led by the AVP) to gather essential account context, pain points, and opportunity signals. - Take clear, structured notes and capture the information required to satisfy discovery-stage exit criteria. - Conduct light pre-call research to support AVP preparation and call strategy. Sales Enablement & Collateral Preparation - Create v1 slideware or call prep materials using approved templates and automation tools for Qualify and Discovery conversations. Qualifications Experience & Skills - 2–5 years in business development, inside sales, account development, sales support, or SDR roles — preferably in B2B enterprise software, healthcare, or complex technical sales environments. - Demonstrated success securing meetings, activating dormant accounts, or advancing early-stage pipeline. - Proficiency with Salesforce, LinkedIn Sales Navigator, and outbound sequencing/cadence tools. - Excellent verbal and written communication skills; comfortable reaching out to new stakeholders and handling gatekeepers. - Strong organization and note-taking skills; able to manage multiple accounts and opportunities simultaneously. - High resilience, persistence, and comfort engaging in outbound motions. - Ability to understand complex healthcare operations concepts (training provided, but curiosity is required). Compensation for this role is based on market data and takes into account a variety of factors, including location, skills, qualifications, and prior relevant experience. Salary is just one part of the total rewards package at Qventus. We also offer a range of benefits and perks, including Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, a generous employee referral bonus, and employee stock option awards. Salary Range $110,000 - $150,000 USD Qventus values diversity in its workforce and proudly upholds the principles of Equal Opportunity Employment . We welcome all qualified applicants and ensure fair consideration for employment without discrimination based on any legally protected characteristics, including, but not limited to: veteran status, uniformed service member status, race, color, religion, sex, sexual orientation, gender identity, age, pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, "protected characteristics"). Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee, including supervisors and co-workers. Qventus participates in the E-Verify program as required by law and is committed to providing reasonable accommodations to individuals with disabilities in compliance with Americans with Disabilities Act (ADA) . In compliance with the California Consumer Privacy Act (CCPA) , Qventus provides transparency into how applicant data is processed during the application process. Candidate information will be treated in accordance with our candidate privacy notice. *Benefits and perks are subject to plan documents and may change at the company's discretion. *Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.
Senior Solutions Engineer (APAC)
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. As we expand our presence across Asia-Pacific, we're looking for a Senior Solutions Engineer to be the technical authority in deals that determine how enterprises build AI infrastructure for the next decade, and the trusted technical owner for our most strategic accounts in the region. Most SE roles are demo cycles. This one is different. You'll work directly with Staff Engineers and CTOs, architect real systems, and own the technical outcome of every engagement you touch, from a first prospect call through to expansion conversations with customers you already support. We care more about time-zone overlap with our regional accounts than a specific city, so this role is open to candidates based anywhere aligned with major APAC hubs like India, Singapore, Japan, or Australia. WHAT YOU WILL OWN: - Own the technical strategy in enterprise deals from first call to production deployment, partnering with Account Executives to qualify, architect, and close for our entire Asian-Pacific client base - Act as a Technical Account Manager for a small portfolio of existing enterprise customers in the region alongside active prospects, identifying new use cases, expansion opportunities, and upsell paths, and looping in Account Executives and internal resources to advocate for the customer. - Design vector search architectures for high-scale workloads, including multi-tenant agentic systems, hybrid search pipelines, and low-latency retrieval at billion-vector scale. - Build proof-of-concept systems that customers take to production (not throw away), demonstrating Qdrant's performance advantages over JVM-based or proprietary alternatives. - Serve as a trusted advisor on AI infrastructure decisions, helping customers navigate migration from legacy databases, avoid architectural lock-in, and deploy across cloud, on-prem, or air-gapped environments. - Contribute to the field engineering knowledge base: reference architectures, technical guides, and reusable POC frameworks that scale the team's impact. WHO YOU ARE - 5+ years of pre-sales or solutions engineering, ideally with a background in data infrastructure or systems architecture. Hands-on infrastructure depth alone isn't enough, we need a proven track record running technical qualification and proof-of-concept processes within a live sales cycle. - Experience designing or operating distributed systems, search infrastructure, or data pipelines at production scale. - Ideally, hands-on experience with RAG (retrieval-augmented generation) pipelines specifically, plus working knowledge of the broader modern AI stack (LLMs, embedding models, agentic frameworks). - Ideally, working knowledge of a structured sales qualification framework such as MEDDICC/MEDDPICC, and the ability to apply it in real deal conversations, connecting technical decisions to business outcomes and deal strategy. - Strong communicator across audiences: you can go deep on indexing trade-offs with a Staff Engineer and explain infrastructure ROI to a CIO in the same afternoon. NICE TO HAVE - Experience with vector search, approximate nearest neighbor algorithms, or semantic retrieval systems. - Background with Rust, C++, or other systems languages. - Familiarity with deployment patterns: Kubernetes, hybrid cloud, on-prem, or air-gapped environments. WHY JOIN US - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us! FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/ #LI-REMOTE
Business Development Representative (EMEA)
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. We're hiring a Business Development Representative to help build Qdrant's enterprise pipeline. You'll report directly to our Enterprise sales leaders and work side by side with them on the accounts that matter most to our growth. This isn't a role where you'll just work a list. You'll run both inbound and outbound motions, and you'll operate strategically inside key accounts to help identify and drive expansion opportunities alongside the Enterprise team. You'll be a first line of contact for engineering and AI leaders evaluating vector search infrastructure, so a genuine curiosity about how production AI systems are built matters here. WHAT YOU WILL OWN - Report directly to Qdrant's Enterprise sales leaders and act as an extension of their account strategy. - Run outbound prospecting into named enterprise accounts, targeting engineering, AI, and data leaders building retrieval and agentic AI systems. - Qualify and progress inbound leads generated by marketing, content, and community channels. - Research target accounts to identify expansion opportunities within existing customers and new logos in strategic segments. - Work closely with Enterprise AEs to develop strategic outreach and multi-threaded account plans for key accounts. - Run discovery conversations to understand a prospect's retrieval, search, and AI infrastructure challenges. - Book qualified meetings and hand off well-scoped opportunities to the Enterprise sales team. - Build outbound workflows using tools like Claude and Common Room to research accounts, personalize outreach, and scale prospecting. - Keep Salesforce and pipeline data accurate and current, and share account and market insights back with sales, marketing, and product teams. - Hit monthly and quarterly targets for qualified pipeline generated. WHO YOU ARE - Up to three years of experience in a business development, sales development, or similar quota-carrying prospecting role, ideally at a technical B2B SaaS or infrastructure company. - A track record of hitting or exceeding pipeline generation targets. - Comfort with both inbound follow-up and proactive outbound prospecting into enterprise accounts. - Strong written and verbal communication skills, with the ability to speak credibly to technical audiences. - A genuine interest in AI infrastructure, vector search, or developer tools. You don't need to be an engineer, but you should be willing to learn the technical fundamentals. - A genuine interest in building a career in sales. - Experience with a CRM (Salesforce) and sales engagement tools. - Organized, self-motivated, and comfortable operating with a degree of ambiguity in a fast-growing company. NICE TO HAVE - You have an understanding of key personas in the AI/ML space. - Familiarity with databases, search, and cloud infrastructure. - Engineering or computer science background. WHY JOIN US - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us! FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/ #LI-REMOTE
Scientist II - Sr. Scientist, CRISPR Specificity &...
Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date. Profluent is seeking a creative and enthusiastic Scientist II - Sr. Scientist to build and apply experimental workflows that characterize the specificity, safety, and developability of our personalized CRISPR base editing platform. This role will initially focus on establishing and scaling base-editor specificity workflows , including biochemical and cell-based approaches such as CHANGE-seq-BE and related methods for identifying DNA and RNA off-target activity. In the longer term, the candidate will spearhead off-target assessments for novel gene editing platforms such as engineered recombinases. The candidate will work closely with protein engineering, cell biology, bioinformatics, automation, and program teams to generate decision-quality datasets that guide editor design, candidate selection, and therapeutic program development. This person will be responsible for benchmarking assays, interpreting NGS-based specificity data, identifying limitations and opportunities across methods, and building robust workflows that can be deployed across editing modalities and disease-relevant contexts. This is an excellent opportunity to shape how AI-designed genome editing systems are evaluated and advanced, and to work cross-functionally with a diverse team of experts across machine learning, protein engineering, cell biology, genomics, and gene editing. Responsibilities - Build and lead Profluent’s strategy for base editor specificity assessment, with an emphasis on base-editor-relevant off-target discovery and validation workflows such as CHANGE-Seq-BE and related biochemical, cell-based, and targeted sequencing approaches - Develop, optimize, benchmark, and apply orthogonal methods to evaluate editing specificity, including workflows for base editors, nucleases, and broader genomic integrity assessment across relevant experimental systems - Design and execute studies to identify, prioritize, and validate potential off-target editing events, integrating assay development, NGS library preparation, sequencing QC, and data interpretation in partnership with computational biology and program teams - Generate high-quality, decision-enabling datasets that inform editor engineering, guide/editor selection, delivery conditions, candidate nomination, and program development strategy - Collaborate cross-functionally with protein engineering, cell biology, gene editing, bioinformatics, automation, and program teams to integrate specificity workflows into Profluent’s broader R&D infrastructure - Establish robust experimental processes, documentation, and analysis frameworks to support reproducibility, scalability, assay qualification, and potential regulatory-facing genomic safety packages - Present results and clearly communicate experimental strategy, timelines, risks, milestones, and program implications to diverse scientific and company stakeholders - Provide mentorship and guidance to junior team members and peers, helping align goals, troubleshoot experiments, and maintain high standards for execution and interpretation - Stay current with emerging technologies in CRISPR specificity, base editing, off-target discovery, targeted validation, genomic integrity assessment, and therapeutic genome editing Qualifications - PhD (or equivalent) in molecular biology, genomics, genome editing, biochemistry, bioengineering, genetics, chemical biology, or a related field with 2-4 years of relevant industry experience in genome editing specificity and genomic safety assessment - Deep expertise and hands-on experience with CRISPR-based genome editing systems, particularly base editors, and a strong understanding of modality-specific specificity risks such as DNA off-target editing, RNA off-target editing, bystander editing, indels, and unintended editing outcomes - Hands-on experience developing, optimizing, or applying NGS-based workflows for genome editing analysis, such as CHANGE-seq, CHANGE-seq-BE, GUIDE-seq, SITE-seq, CIRCLE-seq, Digenome-seq, DISCOVER-seq, INDUCE-seq, targeted amplicon sequencing, rhAmpSeq/AmpSeq-like workflows, hybrid capture, RNA-seq, WGS, or related approaches - Strong experimental background in molecular biology, mammalian cell culture, genome editing reagent delivery, NGS library preparation, assay troubleshooting, and quantitative analysis of editing outcomes - Experience interpreting complex sequencing datasets and collaborating with bioinformatics or computational biology teams to analyze off-target discovery, targeted validation, variant calling, RNA editing, indel profiles, or genomic integrity data - Ability to design rigorous experiments with appropriate controls, replicates, sensitivity considerations, and clear decision criteria - Experience with high-throughput or semi-automated workflows, process development, assay qualification, data tracking, and reproducible execution in a fast-paced research environment - High level of attention to detail and commitment to generating high-quality, decision-enabling data - Experience with cross-functional collaboration in a biotechnology setting, particularly with protein engineering, cell biology, computational biology, translational, or program teams - Excellent communication skills and ability to present complex scientific concepts, datasets, limitations, and recommendations to colleagues and stakeholders - Strong track record of managing complex projects, mentoring junior scientists, and driving workstreams from exploratory development through implementation Preferences - Experience with therapeutic genome editing programs and genomic safety packages for candidate nomination, IND-enabling studies, or regulatory-facing documentation - Experience working with disease-relevant primary cells, ex vivo edited cells, iPSC-derived systems, or other therapeutically relevant model systems - Familiarity with ML-guided enzyme engineering campaigns and how specificity datasets can inform editor design, model evaluation, and candidate prioritization - Expertise in protein purification of genome editors for use in biochemical off-target assays What We Offer - High-growth opportunity with meaningful impact on the future of protein design - Competitive compensation package with equity participation - 401(k) with a strong employer match - Comprehensive benefits including health/dental/vision insurance - Generous PTO policy and commitment to work-life balance - Professional development opportunities in a cutting-edge field at the intersection of AI and biology Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law. Work Authorization Requirement Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position. Employment Eligibility Verification Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire. Hiring Salary Range $145,000 - $180,000 USD NOTICE TO STAFFING AND SEARCH FIRMS: Profluent does not accept unsolicited candidate submissions. We ask that agencies refrain from sending resumes to our careers inbox, hiring managers, or any Profluent employee. Any resume submitted without a signed agreement and an active search request from our Talent team will be treated as the property of Profluent, and no placement fee will be owed.
Associate Scientist/Scientist I, Molecular Functio...
Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date. The Role Profluent is scaling the discovery engines that supply data for AI-driven antibody and protein design. We're hiring an experienced protein engineer to lead display campaigns and build high-throughput platforms for measuring protein-protein interactions (PPI) at scale. This is primarily a bench role. You'll run your own campaigns, build and validate assays, and set the controls and QC that turn raw screening output into model-ready datasets, working closely with ML, protein design, automation, and bioinformatics colleagues. Responsibilities - Build the founding high-throughput platforms for identifying and measuring protein-protein interactions. - Lead phage display campaigns end-to-end, from library construction through panning, NGS, and hit validation. - Design and troubleshoot selection strategies, including antigen selection, library QC, and stringency selections. - Plan campaigns with ML and protein design scientists (targets, assays, readouts) and define what makes binding data fit for model training and evaluation. Qualifications - MS (3 + years industry experience) or PhD in (0- 2 years industry experience), Molecular Biology, Biochemistry, Protein Engineering, Biophysics, Immunology, or a related discipline. - Deep hands-on experience with phage display and antibody discovery (required). - Strong molecular biology skills for library construction. - Solid understanding of NGS-based screening and how to turn sequencing data into quantitative measurements. - Strong analytical and troubleshooting skills, with careful attention to detail and record-keeping. Preferences - Experience in therapeutic antibody optimization: affinity maturation, developability, and format engineering. - Experience in measuring binding kinetics and affinity by SPR or BLI/Octet, and epitope mapping. - Familiarity with other display systems (yeast, mammalian, ribosome, or mRNA). - Familiarity with lab automation platforms such as Hamilton or Tecan. - Moving a new assay or platform into routine use; familiarity with LIMS and data/metadata schemas. What We Offer - High-growth opportunity with meaningful impact on the future of protein design - Competitive compensation package with equity participation - 401(k) with a strong employer match - Comprehensive benefits including health/dental/vision insurance - Generous PTO policy and commitment to work-life balance - Professional development opportunities in a cutting-edge field at the intersection of AI and biology Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law. Hiring Salary Range $132,000 - $167,000 USD NOTICE TO STAFFING AND SEARCH FIRMS: Profluent does not accept unsolicited candidate submissions. We ask that agencies refrain from sending resumes to our careers inbox, hiring managers, or any Profluent employee. Any resume submitted without a signed agreement and an active search request from our Talent team will be treated as the property of Profluent, and no placement fee will be owed.
Member of Technical Staff - Security
OWN YOUR INTELLIGENCE Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own. Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet. ROLE IMPACT Security is the single highest-stakes function at Prime Intellect. Our customers — from frontier AI labs to enterprises — trust us with their most valuable assets: proprietary models, training data, and the compute that powers them. This role owns the security posture of everything we ship: the hosted RL training platform, distributed GPU infrastructure, liquid compute marketplace, and all customer-facing surfaces. You'll be the first dedicated security hire and will define how we think about security as a company — from threat modeling and secure architecture to incident response and compliance. You'll work directly with engineering, research, and leadership to embed security into every layer of the stack, and you'll manage relationships with external penetration testers and security auditors to continuously validate our defenses. CORE TECHNICAL RESPONSIBILITIES PREVENTIVE SECURITY & SECURE ARCHITECTURE - Own threat modeling across our entire surface area: multi-tenant training infrastructure, sandboxed execution environments, API surfaces, and internal tooling - Design and implement zero-trust networking, identity, and access control across distributed GPU clusters and cloud infrastructure - Build secure-by-default patterns for our platform engineers — auth, secrets management, supply chain integrity, container hardening - Architect tenant isolation and data boundary enforcement for hosted RL training workloads (customers run arbitrary code in our environments) AI-NATIVE SECURITY - Develop security frameworks specific to AI infrastructure: model weight protection, training data isolation, checkpoint integrity, gradient privacy - Secure the RL training loop end-to-end — from environment execution in sandboxes to reward signal verification and model artifact storage - Build detection and prevention for AI-specific attack vectors: prompt injection across agentic pipelines, model exfiltration, adversarial environment manipulation OFFENSIVE SECURITY & EXTERNAL ENGAGEMENTS - Scope, manage, and run point on external penetration tests across our platform, hosted training infrastructure, and liquid compute layer - Build and maintain an internal red-teaming practice — automated and manual — targeting our most critical systems - Drive vulnerability management: triage, remediation SLAs, and root cause analysis DETECTION, RESPONSE & OBSERVABILITY - Build security monitoring and alerting across infrastructure (distributed clusters, Kubernetes, cloud) and application layers - Implement runtime security for containerized training workloads and sandboxed environments - Own incident response — build the playbooks, run the drills, lead the post-mortems - Design audit logging and forensic capability across all customer-facing systems COMPLIANCE & CUSTOMER TRUST - Drive SOC 2 Type II readiness and other compliance frameworks required by enterprise customers - Own the security narrative for customer-facing materials — questionnaires, architecture reviews, trust documentation - Partner with GTM to unblock enterprise deals that depend on security posture TECHNICAL REQUIREMENTS - 5+ years in security engineering, infrastructure security, or offensive security roles — ideally at companies operating multi-tenant cloud or compute infrastructure - Deep experience with cloud security (GCP preferred), Kubernetes security, and container runtime hardening - Hands-on ability to read, write, and audit code in Python and Rust (or strong systems-level language) - Experience with network security in distributed systems — service mesh, mTLS, network segmentation across heterogeneous hardware - Proven track record managing external penetration tests and translating findings into engineering action - Strong fundamentals in cryptography, identity/access management, and secure software development lifecycle NICE TO HAVE - Experience securing GPU infrastructure or ML training pipelines - Background in offensive security — CTFs, bug bounties, red team engagements - Familiarity with AI-specific threat models (model extraction, training data poisoning, sandbox escape) - Experience building security programs from scratch at a high-growth startup - SOC 2, ISO 27001, or FedRAMP compliance experience - Open-source security tooling contributions - Familiarity with eBPF, Falco, or similar runtime security tools WHAT WE OFFER - Cash Compensation Range of $180-350k+ with significant equity incentives - Flexible work arrangement (remote or San Francisco office) - Full visa sponsorship and relocation support - Professional development budget for courses and conferences - Regular team off-sites and conference attendance - Opportunity to shape the future of decentralized AI development GROWTH OPPORTUNITY You'll be the foundational security hire at a company where security is existential — not a checkbox. As we scale to support frontier AI labs and enterprises running their most critical training workloads on our platform, you'll build the security org from the ground up and have direct influence on company strategy. We value intensity and ownership over credentials. If you've built security programs at infrastructure companies, broken into systems professionally, or have deep conviction about how AI infrastructure should be secured — we want to talk. Ready to help shape the future of AI? Apply now and join us in our mission to make powerful AI models accessible to everyone.
Member of Technical Staff - Sandbox Platform
OWN YOUR INTELLIGENCE Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own. Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet. CORE TECHNICAL RESPONSIBILITIES You'll build the distributed control plane and node-level runtime behind our sandbox platform: placing workloads across bare-metal workers, launching secure microVMs, and making the entire lifecycle fast, efficient, and resilient to failure. - Build the control plane that places sandbox workloads efficiently across bare-metal CPU and GPU workers. - Build node-level execution systems that launch and supervise secure microVMs, coordinate storage and networking, and take sandboxes from assignment to ready execution. - Own the sandbox product surface, including its APIs, SDK, and CLI, and evolve it to support reinforcement learning and agentic workflows at scale. - Work closely with research, applied research, customers, and the broader engineering team to take problems from discovery through design, implementation, and production adoption. TECHNICAL REQUIREMENTS - You have 5+ years of experience building production distributed systems from the ground up. - You have strong systems programming experience. Production Go is a major advantage; Rust, C++, or comparable systems-language experience is also valued. - You are a high-agency engineer who can lead the design and implementation of high-performance, fault-tolerant systems. - You have strong Linux systems fundamentals and depth in at least one of virtualization, networking, storage, or workload isolation. - You enjoy going deep on systems performance, whether the bottleneck is memory behavior, concurrency, networking, or resource utilization. - You have built, deployed, and operated production systems at scale. WHAT WE OFFER - Cash compensation of $150-300k with significant equity incentives - Flexible work arrangements, with our San Francisco office preferred and remote work possible for exceptional candidates - Full visa sponsorship and relocation support - A professional development budget for courses and conferences - Regular team off-sites and conference attendance - The opportunity to shape core infrastructure for frontier AI research GROWTH OPPORTUNITY You'll work alongside experienced engineers and researchers building core infrastructure for frontier AI research. You'll shape the sandbox platform that powers demanding reinforcement learning, evaluation, and agentic workloads, with opportunities to contribute to open-source infrastructure. On a small, high-ownership team, you'll help set technical direction and engineering practices while moving quickly from decisions to shipped systems. We value deep systems expertise and customer obsession. If you want to build foundational infrastructure from the control plane down to the node runtime, we want to talk to you. Apply now and help build the systems behind the next generation of AI research.
Head of Marketing
OWN YOUR INTELLIGENCE Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own. Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet. YOUR ROLE As Head of Marketing & Developer Relations, you'll own how Prime Intellect shows up in the world — the story we tell, the community we build, and how developers and researchers discover, adopt, and champion our platform. You'll shape our brand, run high-signal campaigns and launches, grow our developer community, and build the content engine that makes Prime Intellect the default starting point for RL infrastructure. This is a high-leverage role combining narrative craft, technical credibility, and community instinct — ideal for someone who can move fluidly between writing a launch post, scoping a conference strategy, and shipping a developer tutorial. RESPONSIBILITIES BRAND & NARRATIVE - Define and evolve Prime Intellect's brand positioning, voice, and visual identity across all channels. - Translate deeply technical capabilities (async RL, distributed training, agentic post-training) into clear, compelling market narratives. - Own messaging frameworks for product launches, fundraise announcements, research releases, and partnership news. DEVELOPER RELATIONS & COMMUNITY - Build and lead the DevRel function — creating programs, content, and experiences that drive developer adoption and loyalty. - Grow and engage our open-source community (Environments Hub, prime-rl, Verifiers) through tutorials, office hours, hackathons, and contributor programs. - Develop and maintain developer documentation, quickstarts, and onboarding flows in close partnership with Product and Engineering. - Represent Prime Intellect at conferences, meetups, and on podcasts — and identify opportunities for the founding team to do the same. CONTENT & THOUGHT LEADERSHIP - Build a content engine spanning technical blog posts, research digests, case studies, video content, and social media. - Partner with Research to translate frontier work (Recursive Language Models, INTELLECT model series, CLaaS) into high-signal public content. - Develop a thought leadership program that positions Prime Intellect's founders and researchers as key voices in open AI infrastructure. CAMPAIGNS & GROWTH - Plan and execute product launches, research releases, and community events that generate developer awareness and adoption. - Run growth experiments across channels — organic social, paid, SEO, email, partnerships — and build measurement systems to track what works. - Own top-of-funnel metrics: developer signups, community engagement, content reach, and brand awareness. - Partner with Sales/GTM to ensure marketing-generated demand converts into pipeline and design-partner relationships. MARKETING OPERATIONS - Build and manage the marketing tech stack (analytics, CMS, email, social scheduling, attribution). - Establish reporting cadence for marketing KPIs and campaign performance. - Manage external agencies, freelancers, and contractors as needed for design, video, and content production. WHAT WE'RE LOOKING FOR - 5+ years in marketing, developer relations, or developer marketing at a B2B infrastructure, open-source, or developer-tools company. - Deep technical fluency — you can credibly discuss GPUs, RL training loops, model architectures, and API design with engineers and researchers. - Proven track record building developer communities and running high-impact product launches. - Strong writer and storyteller who can produce or direct content that resonates with both technical and business audiences. - Analytical and experiment-driven — comfortable with attribution models, funnel metrics, and growth experiments. - Experience building small, high-performing teams from scratch in fast-moving environments. BONUS - Hands-on experience with AI/ML infrastructure, cloud platforms, or open-source ML tooling. - Existing presence and credibility in the AI research or infrastructure community (blog, Twitter/X, conference talks). - Experience with open-source community building and contributor growth programs. - Early-stage operator mindset — bias for building playbooks, not inheriting them. WHAT WE OFFER - Cash Compensation Range of $150–300k + equity incentives - Flexible Work (remote or San Francisco) - Visa Sponsorship & relocation support - Professional Development budget - Team Off-sites & conference attendance - Opportunity to shape open AI infrastructure at Prime Intellect
Compute Intelligence Engineer
OWN YOUR INTELLIGENCE Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own. Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet. Your Role Compute is the foundational input of everything Prime Intellect does — and right now, the picture of our compute supply, demand, and economics lives across spreadsheets, partner conversations, and people's heads. This role changes that. As Compute Intelligence Engineer, you'll build the data infrastructure and intelligence platform that gives the entire company a live, accurate picture of our compute: what we have, what's coming online, where our bottlenecks are, and how supply maps to demand. This is a hands-on data engineering build — you'll stand up the warehouse, write the pipelines that pull from our compute telemetry, billing systems, partner data, and CRM, model that data into a clean and trustworthy source of truth, and turn it into dashboards and a queryable layer the whole company relies on. This is a builder-first role with a clear business purpose. You won't be building data infrastructure for its own sake — you'll be building the system that lets our Compute Partnerships team, Growth team, and Research team operate from the same source of truth. When Growth needs to know what capacity is coming online next quarter, when Compute Partnerships needs to understand our utilization against commitments, when Research needs to scale a training run — the platform you build is what they'll turn to. You'll be early in this seat, and the foundations you lay will be the data backbone the company scales on. Responsibilities Build the Compute Intelligence Platform - Stand up Prime Intellect's data warehouse (Snowflake, BigQuery, or equivalent) and the pipelines that feed it — compute telemetry, billing and usage data, partner and supply data, CRM, and financial systems - Build the data models and transformations (dbt or equivalent) that turn raw data into a clean, queryable, trustworthy source of truth - Build dashboards and reporting that give the company a live picture of compute supply, demand, utilization, upcoming capacity, and bottlenecks - Build a queryable, AI-accessible layer on top of the warehouse so teams across the company can answer their own questions without going through a data analyst Supply & Demand Intelligence - Build the data systems that track our compute supply end-to-end: what we have, what's committed, what's coming online, and what's utilized vs. idle - Develop the views and models that surface where our bottlenecks are — and make upcoming supply legible to the teams that depend on it - Connect supply data to demand signals so the company can see, in one place, how capacity maps to what we're selling and building Cross-Functional Enablement - Serve as the data backbone connecting Compute Partnerships, Growth, and Research — building the systems that let them operate from shared, accurate information - Partner with Growth on understanding upcoming supply and how it maps to what they can sell - Partner with Compute Partnerships on utilization, commitments, and supply tracking - Partner with Research on scaling needs and capacity planning Operational Reliability - Build pipelines and systems that run unattended, stay in sync, and fail gracefully - Establish the data quality, documentation, and infrastructure standards that let the data layer scale with the company - Partner with Engineering on shared infrastructure, security, and data standards What We're Looking For - 3–7+ years in data engineering, analytics engineering, GTM/growth engineering, or similar roles where you've built data infrastructure that served real business outcomes - Strong technical skills: comfortable building and maintaining data warehouses, writing production-quality pipelines (Python, SQL), modeling data (dbt or equivalent), and connecting disparate systems via APIs - Experience with modern data stack tooling — Snowflake / BigQuery / Databricks, dbt, orchestration (Airflow, Dagster, etc.), and BI/dashboarding tools - A builder's instinct paired with business judgment — you don't just build what's asked; you understand the business well enough to build the right thing - Comfortable being the data backbone for cross-functional teams — translating between business needs and the systems that serve them - Familiarity with modern AI tooling and an interest in building AI-accessible data layers (natural-language querying, LLM-powered analytics) that let non-technical teams self-serve - High ownership — you see gaps and build the fix before anyone asks - Comfortable in ambiguity and speed; you'll be defining what the data layer looks like from scratch - AI-native in how you work: you use LLMs, automation, and programmatic tools to move faster Bonus: - Experience as an early data hire who built a company's data infrastructure from scratch - Familiarity with GPU economics, compute infrastructure, cloud telemetry, or AI/ML workloads - Background in GTM engineering, growth engineering, or revenue/operations data - Experience building LLM-powered or natural-language data interfaces - Working knowledge of usage-based / consumption-based business models and the data they generate What We Offer - Cash Compensation Range of $225-300k + meaningful equity - Flexible work (remote or San Francisco) - Visa sponsorship and relocation support - Professional development budget - Team off-sites and conferences - A front-row seat to building the infrastructure layer for open AI
CFD Multiphase & DEM Engineer
About us Re-architecting Engineering for the Age of Intelligence PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area. Who We’re Looking For You are a problem solver and builder, passionate about creating practical solutions that help customers make better engineering decisions. You can grasp and apply advanced engineering concepts across multiple industries, and you excel at working directly with customers, often on-site, to develop high-fidelity simulation models that feed into AI tools that are both useful and used. You bring deep expertise in fluid mechanics, heat transfer, and multiphase modelling, including particle-laden flows, fluidised beds, and coupled CFD-DEM. You are highly proficient in at least one of Star-CCM+, OpenFOAM, or Fluent, and experienced with DEM codes such as EDEM, LIGGGHTS, or Rocky. You are adept at automating these tools to create scalable optimisation workflows. Experience in parametric CAD modelling (NX or CATIA) and coding in Python (or the ability to pick up new programming languages quickly) is an advantage. What you'll do - Independently build complex multi-physics models, from geometry clean-up and meshing through to simulation, post-processing, and integration of experimental data for validation, spanning single-phase, multiphase, and coupled CFD-DEM regimes. - Develop and validate DEM models of granular and particle-laden systems, including fluidised beds, pneumatic conveying, mills, aerosols, suspensions and coating processes, applying appropriate contact models, size distributions, and coupling strategies. - Build robust parametric CAD models coupled with simulation pipeline automation to execute advanced design optimisation and DoE studies across large parameter spaces. - Partner with customers to address complex engineering challenges through advanced simulation and AI solutions. Present results clearly, recommend actionable next steps, and balance accuracy with efficiency under real project deadlines. - Work at the intersection of CAE and data science to generate high-quality simulation datasets for training machine learning and deep learning surrogate models. Apply smart sampling strategies to capture the design space efficiently and reduce computational cost. - Leverage Flux (our cloud platform) and on-premise HPC resources to accelerate high-fidelity modelling, going beyond standard setup practices to achieve genuine performance gains at scale. - Continuously improve engineering best practices, adapting simulation model setups and outputs to support the development of deep learning surrogates and physics-informed ML models. - Combine project leadership with a commitment to mentoring junior colleagues, contributing to a culture of collaboration, rigour, and shared growth. - Travel globally (North America, Europe, Asia, Oceania) up to 2–3 weeks per quarter to work on-site with customers building solutions together. What we're looking for Core simulation skills - Multiphase CFD: VOF, Euler–Euler, Euler–Lagrange, or mixture models - DEM modelling: EDEM, Rocky, LIGGGHTS, or equivalent - Coupled CFD–DEM workflows for particle–fluid systems - Heat and mass transfer modelling - Reacting flows and phase-change processes (advantageous) - Proficiency in Star-CCM+, OpenFOAM, or Fluent Engineering and workflow - MEng, MSc, or PhD in mechanical, chemical, or process engineering - Python scripting and simulation automation - DoE, surrogate modelling, and design space exploration - Parametric CAD modelling (NX or CATIA advantageous) - Strong written and verbal communication with technical and non-technical audiences Please note, this role is based in London, working 2-3 days per week in our central office. Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey! What we offer Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected. Sustainable pace, long-term ambition Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn’t stop there … 🚀 Equity options - share meaningfully in the company you’re helping to build. 🏦 10% employer pension contribution - because investing in future matters. 🍽️ Free office lunches - to keep you energised and focused. 👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. 🍼 YellowNest nursery scheme - to help working parents manage childcare costs. ☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. 🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind. 💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. 👀 Eye tests - because good work depends on good health. 📈 Personal development - dedicated support for learning, development, and leveling up over time. 💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. 🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener. 🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. 🔎 Watch this space, we’re continuing to build this as we grow… We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
Annotations Portfolio Lead
WHO WE ARE Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future. THE TEAM High-quality data is the fuel for our work. The Annotations team produces high-quality data labels to support model development. This role is a hands-on owner for a portfolio of annotation programs: partnering with researchers to understand what data they need and why, translating that into concrete requirements and rubrics, and running the operation that delivers the data. This person will also be expected to drive continuous improvement across multiple surfaces to mature the annotations function and balance strategic problem solving with tactical execution. IN THIS ROLE YOU WILL - Own end-to-end performance for a portfolio of annotation programs, driving quality, speed, and efficiency - Partner with researchers to define and refine requirements - Drive step-function continuous improvement in our operations, identifying issues and building scalable solutions - Foster clarity, collaboration, and alignment across both technical and nontechnical stakeholders, including vendor partners, researchers, operations WHAT WE HOPE YOU'LL BRING - 5+ years of experience in program management, operations, technical project management, consulting, startup operations, or similar roles - Strong problem solving and systems thinking; ability to identify points of leverage in a constantly-evolving system and diagnose problems with incomplete information - Intuition for data quality and research needs, grounded in understanding of model training and evaluation - Stellar communication and ability to clarify nuance, structure complex information in digestible ways, and work with remote, ESL audiences - Organizational skills to bring structure to chaos and balance needs across multiple programs BONUS POINTS - Experience with data annotations for ML/AI, having seen versions of this problem before - Experience with robotics, egocentric video, or other multimodal sensor data - Experience with using coding agents to fill gaps in tooling / infra
Staff Software Engineer, Backend (Product)
The Opportunity We’re building the next generation of AI-native product experiences, where conversations turn directly into outcomes. As a Staff Software Engineer on our Product teams, you’ll define how these capabilities are translated into scalable systems and cohesive product experiences. You’ll operate across the full lifecycle of AI-driven features—from data ingestion and model orchestration to output structuring and delivery into user-facing product surfaces—but at a systems level. This includes shaping the architecture behind generation pipelines, defining how AI outputs are structured and persisted, and ensuring these systems are reliable, performant, and adaptable as both product requirements and underlying models evolve. This role goes beyond individual features. You’ll drive technical direction across product areas, aligning product, AI, and infrastructure teams on how to build AI-native systems that scale. You’ll help define patterns for how we evaluate, iterate on, and continuously improve AI-driven experiences, turning ambiguous opportunities into clear systems and execution plans. You’ll partner closely with product, design, and AI teams to identify high-leverage opportunities, prototype new approaches, and guide them into production—shaping both the product experience and the underlying systems that power it. Your Impact - Define system architecture for AI-native product surfaces Design foundational systems (generation pipelines, data models, evaluation frameworks) that power multiple product areas. - Drive cross-team technical strategy Lead initiatives that span product, AI, and infrastructure teams, ensuring alignment on architecture and execution. - Establish best practices for AI product engineering Set standards for how we build with AI—covering areas like evaluation, reliability, iteration loops, and system design. - Translate ambiguity into scalable systems and product direction Take loosely defined opportunities and turn them into clear technical approaches and execution plans. - Raise the bar across the organization Influence engineering quality, system design, and product thinking beyond your immediate team. - Shape how AI accelerates engineering velocity Drive adoption and best practices for AI-assisted development, improving how teams design, build, and iterate on product. We're looking for someone who - Has 10+ years of experience building and scaling complex systems - Has a strong track record of owning technical and product direction for large or ambiguous problem spaces - Demonstrates deep expertise in system design , especially in data-intensive or distributed systems - Has experience leading cross-team initiatives and influencing without direct authority - Brings strong product intuition and can balance user experience, system constraints, and business impact - Is comfortable operating at a high level of ambiguity and defining both the problem and the solution Nice to haves - Experience building or experimenting with LLM-powered features (prompting, evaluation, RAG, etc.) - Experience designing systems that balance latency, cost, and quality - Exposure to user feedback loops, experimentation, or evaluation frameworks About Otter.ai We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace. We provide reasonable accommodations for qualified applicants throughout the hiring process. Accessibility & Accommodations Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process. If you need assistance or an accommodation during any stage of the recruitment process, please contact hr@otter.ai at least 3 business days before your interview. *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range Salary Range: $210,000 to $275,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package. LI-Hybrid
Senior Solution Architect
The Opportunity We are seeking a talented Senior Solution Architect with deep enterprise pre-sales experience who wants to own the technical sale for complex, multi-stakeholder deals and help define how our AI meeting intelligence platform wins against the market's toughest competitors. Your Impact - Own the technical sale in strategic Enterprise accounts ($200K–$1M+ ACV), partnering with Enterprise AEs from first engagement through signed MSA - Run sophisticated proof-of-value engagements: you design the evaluation framework, define measurable success criteria, manage the evaluation committee, and convert POV data into a closing business case - Build and test multi-threaded champion networks within accounts — you don't rely on a single contact; you map and influence the full buying committee - Navigate enterprise procurement: MSAs, DPAs, SOC 2 reviews, and security questionnaires are part of your deal, and you manage them proactively - Shape Otter AI's competitive differentiation strategy — you are the field expert on how to displace Gong, Chorus, and Zoom/Teams AI features in enterprise evaluations - Mentor SA team members and contribute to SA onboarding, demo best practices, and competitive battlecards - Partner with Product Management to translate field insights into roadmap input — your enterprise deals are the most important signal we have We're looking for someone who - 5+ years of presales experience in B2B SaaS, with demonstrated success in Enterprise deals ($200K+ ACV) and complex, multi-stakeholder evaluations - Deep MEDDPICC or MEDDIC fluency — not just familiarity. You use it to qualify, coach your AE, and run retrospectives on lost deals. Explicit MEDDPICC methodology experience is strongly preferred. - You've navigated to and influenced C-suite and VP-level economic buyers independently, not just via your AE - Technical depth in AI/ML , you can speak credibly to CTOs, data architects, and security teams about LLM behavior, ASR accuracy, API architecture, and enterprise data governance - Experience with enterprise-grade CRM integrations (Salesforce, specifically): you understand Apex, Connected Apps, data model complexity, and can handle deep-dive technical sessions with Salesforce admins - A track record of competitive displacement — you've beaten Gong, Chorus, or enterprise platforms in head-to-head evaluations and you can teach others how About Otter.ai We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity. *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range OTE Range: $189,000 to $248,000 USD per year potential inclusive of commission This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package.
Senior Software Engineer, Backend (Product)
The Opportunity We’re building the next generation of AI-native product experiences, where conversations turn directly into outcomes. As a Senior Software Engineer on our Product teams, you’ll own significant areas of the product and play a key role in shaping how AI capabilities translate into real user value. You’ll work across the full lifecycle of AI-driven features—from data ingestion and model orchestration to output structuring and delivery into user-facing product surfaces. In this role, you’ll not only build features, but also design the systems that power them—ensuring that AI outputs are reliable, performant, and aligned with real user needs. You’ll take on complex, ambiguous problems and drive them from concept to production, making thoughtful tradeoffs across latency, cost, and quality. This includes defining how LLMs, retrieval systems, and structured data come together to create cohesive product experiences. Working closely with product, design, and AI teams, you’ll rapidly prototype and iterate on features like summaries, action items, and intelligent workflows—while helping establish patterns and best practices that other engineers can build on. You’ll also play a key role in elevating the team: guiding technical decisions, mentoring engineers, and raising the bar for both product thinking and engineering quality. Your Impact - Own end-to-end delivery of AI product features Lead the design and implementation of complex features—from initial concept through production—ensuring high quality and strong user impact. - Drive system design for AI-backed experiences Architect systems that orchestrate LLMs, retrieval, and structured data, making thoughtful tradeoffs between flexibility, reliability, and performance. - Elevate product quality through iteration and evaluation Establish and improve feedback loops (evaluation frameworks, user signals, experimentation) to systematically improve AI output quality. - Lead technical direction within a product area Break down ambiguous problems, define approaches, and guide execution across multiple engineers. - Mentor and raise the engineering bar Provide guidance on code quality, system design, and product thinking; help less experienced engineers operate more effectively in an AI-driven environment. - Accelerate team velocity through AI-assisted development Model effective use of modern AI tools to improve iteration speed, code quality, and overall team productivity. We're looking for someone who - Has 5+ years of experience building and scaling product-facing systems , with a track record of owning complex features or product areas end-to-end - Writes clean, maintainable code (Python preferred) and makes strong architecture and design decisions across a modern web stack - Brings a high bar for product quality , not just system correctness — consistently asks whether what's being built actually serves users well - Has experience working with AI/LLM-powered systems , or can ramp quickly and contribute meaningfully to shaping their behavior in production - Drives projects from idea → production with strong ownership, and helps others do the same through mentorship and technical leadership - Thrives in ambiguous, fast-moving environments and can set technical direction, not just execute within it Nice to haves - Experience building or experimenting with LLM-powered features (prompting, evaluation, RAG, etc.) - Experience designing systems that balance latency, cost, and quality - Exposure to user feedback loops, experimentation, or evaluation frameworks About Otter.ai We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace. We provide reasonable accommodations for qualified applicants throughout the hiring process. Accessibility & Accommodations Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process. If you need assistance or an accommodation during any stage of the recruitment process, please contact hr@otter.ai at least 3 business days before your interview. *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range Salary Range: $185,000 to $230,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package. LI-Hybrid
Strategic Account Executive
About Us Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI Agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations. Each AI Agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work. Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction. Why Join Us Joining the Strategic Accounts team is an exciting opportunity to become part of our team that is taking on a world of possibilities especially as we focus on becoming the #1 AI engine in the Contact Center industry. This is an amazing opportunity to collaborate with like-minded experts in their space, achieve common goals as a team, and provide you both with personal and professional experience. In recent years, the integration of AI into contact centers has revolutionized the way organizations handle customer service. With the introduction of AI technologies, such as natural language processing (NLP), machine learning, and chatbots - we’ve transformed contact centers into intelligent hubs capable of providing efficient, personalized, and round-the-clock customer support. What You’ll Be Doing - Own a named account list of 50 Fortune 250 prospects and drive each relationship from first conversation to signed contract. - Partner with Account Associates, Solutions Engineering, and Customer Success to design and execute complex evaluations, tailored demos, and proofs of value that move deals forward. - Forecast pipeline and targets weekly with accuracy and discipline — no surprises. - Stay close to the industry landscape across buyers, competitors, and partners, and bring structured intelligence back to product, marketing, and leadership to sharpen our roadmap and go-to-market strategy. - Work cross-functionally across Solutions, Marketing, Business Operations, Finance, Product, and Engineering — you know how to get things done across a matrixed organization. - Play an active role in building the team — supporting the recruitment and onboarding of teammates as we scale. What You’ll Bring To The Role - A history of closing. You've consistently hit ARR targets above $1M per year over the last 3 years in complex, multi-stakeholder enterprise deals. - Deep experience designing and executing deal strategies in the contact center space — you understand the buyers, the competitive dynamics, and what it takes to win. - Experience supporting the growth of large, fast-moving B2C organizations across Banking, Insurance, Healthcare, Travel and Hospitality, and Telecom. You know how these companies buy and what they care about. - Comfortable leading high-visibility customer engagements — Customer Advisory Boards, industry conferences, product launches, and executive briefings. - Skilled at gathering and distilling market intelligence across industry trends, competitive dynamics, customer needs, and prospect signals, and turning it into sharper strategy. - Fluency in contact center KPIs and QA and coaching processes. You speak the language of the buyer. Why You’ll Love It Here - Competitive compensation including equity: Market-aligned base pay, performance incentives, and meaningful equity ownership - Excellent medical, dental, and vision insurance options: Comprehensive medical, dental and vision benefits for employees and eligible dependents - Flexible Paid Time Off: Our unlimited, flexible PTO policy empowers you to take the time you need to recharge, maintain balance, and perform at your best. - Additional Time to Recharge: 10 company holidays, an annual company-wide Winter Break, and paid parental leave to fully support life outside of work. - 401(k) plan: Long-term financial planning support with tax-advantaged retirement savings - Quarterly Lifestyle Spending Account: Flexible quarterly stipend to support wellness, learning and professional development, and personal growth - Monthly Mobile + Internet Stipend : Support for remote and hybrid work connectivity needs - Pre-tax Commuter Benefits: Tax-efficient transit and commuting support for hybrid and in-office employees Autonomy and Agency: Play a meaningful role in scaling a category-defining GenAI platform transforming the future of customer experience. Salary Range The base salary for this role is $150,000 to $160,000, with a matching variable that brings total OTE to $300,000 to $320,000 per year. Compensation may vary based on a candidate's qualifications, skills, and experience. Base pay is one part of the total package. This role is also eligible for equity (stock options) and additional performance-based incentives. The range above is a target — actual compensation reflects the Company's practices and the individual hired. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe.AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai .
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