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Account Director, Digital Natives Growth
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you'll: - Manage a portfolio of customer accounts, developing and executing strategies for a comprehensive account plan - Support your customer accounts from initial engagement to successful deployment, expansion, and through to renewal - Develop new and existing accounts through pipeline generation, discovery, evaluation, and successful adoption - Partner with solutions and research engineering to build and execute complex customer programs and projects - Own a revenue target - Manage revenue forecasts - Analyze key account metrics to create reports and provide insights to internal and external stakeholders - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering - Support the recruitment and onboarding of other teammates - Support the development of company culture We're seeking someone with experience including: - 9+ years selling and renewing platform-as-a-service and/or software-as-a-service - Managing and growing customer relationships across the full lifecycle - Developing accounts from early sales stages through successful deployment - Designing and executing complex deal strategies - Working directly with c-level executives - Communicating technical concepts to customers and internal stakeholders - Gathering, distilling, and processing complex market, industry, competitor, customer, and prospect intelligence You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. - Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. - Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Solutions Engineer (Texas)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Deployed Engineering team is the technical front line of our go-to-market motion. We partner with account executives from the first technical conversation through production rollout, helping companies evaluate LangChain, prove it out on their hardest use case, and get agents running reliably at scale. This is a hands-on, highly technical team. Deployed Engineers own the technical win: scoping evaluations, designing POCs that mirror real workloads, answering the deep architecture questions that decide a deal, and staying with the customer after signature to make sure what we sold actually ships. We sit at the intersection of engineering, product, and sales. What we learn in the field shapes both how customers adopt LangChain and what we build next. ABOUT THE ROLE You will work on some of the hardest problems in applied AI, in front of customers, on a clock. Not demos, not research: systems real teams depend on in production. The feedback loop is fast, the impact is measurable in closed deals and live deployments, and the work directly shapes how AI agents get built in the real world. WHAT YOU'LL DO - Own the technical win. Partner with AEs to scope evaluations, run technical discovery, and design POCs that map to the customer's real use case rather than a canned demo - Be the technical authority in the room during architecture reviews, security and infrastructure questions, and head-to-head evaluations - Co-architect and co-build production AI agents with customer engineering teams, from prototype through rollout - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Run demos, trainings, and workshops for developer audiences, from single-team sessions to larger technical enablement - Advise customers post-sale on architecture, best practices, and roadmap-level decisions, and find the expansion opportunities that come out of those conversations - Surface field feedback to product and build reusable POC assets, cookbooks, and example code that scale across accounts - Contribute code upstream when it meaningfully improves customer outcomes WHAT YOU'LL BRING - 6+ years in a relevant technical role such as solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering, ideally at a startup or scale-up - Comfort owning the technical thread in a sales cycle: discovery, POCs, architecture reviews, and competitive evaluations - Ability to explain technical tradeoffs clearly and build trust with developer audiences, then translate that into a decision the customer is ready to make - A track record of taking responsibility for outcomes, not just recommendations - A bias toward action and a willingness to figure things out as you go - Genuine interest in operating AI agents in production, not just building demos NICE TO HAVES - You've deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Experience carrying a technical number or working against pipeline alongside a sales team - Experience with LLM evaluation, observability, or guardrails - Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts COMPENSATION Annual OTE range: $200,000–$250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Regional Director, Enterprise Sales (DMV)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software. As Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises. This role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value. WHAT YOU’LL DO - Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution. - Lead, coach, and develop a team of enterprise Account Executives. - Build a culture of accountability, customer obsession, strong qualification, and consistent execution. - Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes. - Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions. - Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing. - Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders. - Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities. - Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region. - Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization. - Recruit, onboard, and retain high-performing sales talent as the region grows. WHAT WE’RE LOOKING FOR - 7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams. - Proven track record managing teams that sell complex technical products to enterprise customers. - Experience hiring, coaching, and developing high-performing Account Executives. - Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement. - Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams. - Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built. - Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success. - Excellent communication skills, with the ability to simplify complex technical concepts for different audiences. - High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development. NICE TO HAVE - Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products. - Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development. - Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion. - Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies. - Prior success selling into both digital-native and large enterprise accounts. - Experience working in a highly technical, product-led, or open-source-influenced sales environment. WHY JOIN US AI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems. You’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory. Compensation: $350,000 - $400,000 OTE + Equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Regional Director, Enterprise Sales
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software. As Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises. This role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value. WHAT YOU’LL DO - Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution. - Lead, coach, and develop a team of enterprise Account Executives. - Build a culture of accountability, customer obsession, strong qualification, and consistent execution. - Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes. - Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions. - Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing. - Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders. - Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities. - Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region. - Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization. - Recruit, onboard, and retain high-performing sales talent as the region grows. WHAT WE’RE LOOKING FOR - 7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams. - Proven track record managing teams that sell complex technical products to enterprise customers. - Experience hiring, coaching, and developing high-performing Account Executives. - Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement. - Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams. - Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built. - Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success. - Excellent communication skills, with the ability to simplify complex technical concepts for different audiences. - High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development. NICE TO HAVE - Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products. - Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development. - Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion. - Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies. - Prior success selling into both digital-native and large enterprise accounts. - Experience working in a highly technical, product-led, or open-source-influenced sales environment. WHY JOIN US AI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems. You’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory. Compensation: $350,000 - $400,000 OTE + Equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Partner Engineer
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE Cloud providers and Systems Integrators help LangChain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind that ecosystem. You'll build the reference architectures, integration patterns, and enablement programs that make partner motions work technically: co-sell with cloud hyperscalers, and independent delivery capability at systems integrators and global systems integrators (GSIs). You build with and for a partner, whose technical team then takes what you built to dozens of their own clients. KEY RESPONSIBILITIES Cloud Partner Engineering (GCP, Azure) - Build reference architectures and integration patterns that support the technical side of co-sell, from marketplace listings to joint solution briefs - Partner with cloud field and partner teams on solutioning for named accounts. - Keep our marketplace presence and co-sell technical assets current as LangChain, LangGraph, and LangSmith evolve Systems Integrator and GSI Enablement - Build and run LangChain's services partner enablement program from the ground up, including tiered certification tracks, hands-on workshops, delivery playbooks, and implementation guides based on our agent development lifecycle (ADLC) framework - Run LangChain's partner certification program in the region: deliver certification workshops, review certification projects, and guide partner engineers through the program. - Work with SI centers of excellence (CoEs) to develop repeatable joint solutions and reference architectures, so an SI's own teams can scope, build, and deploy agentic AI independently instead of pulling in LangChain engineering for every deal - Act as a technical evangelist in the field: work directly with an SI's client account teams to make the technical case for LangChain on a specific engagement, which is a different motion than the strategic work you do with a CoE - Build and maintain joint business plans with strategic services partners, translating account and industry priorities into a shared technical roadmap and a concrete set of reference assets - Help SI teams grow from an individual technical champion into a full center of excellence, then support that expertise as it spreads across their client base - Contribute technical enablement to our Tier 1 GSI strategy as it matures, including scoping what a global systems integrator needs to stand up its own agentic AI practice Partner Technical Evangelism and Feedback - Serve as a technical escalation point for complex partner-led deployments - Represent LangChain at partner events, summits, and joint webinars - Gather feedback from partners and the field, and route it back to product and engineering WHAT WE'RE LOOKING FOR 7+ years of experience in a technical, partner-facing or customer-facing role such as Partner Engineer, Solutions Architect, or Sales Engineer. We also like former founders, and technical leaders, so if you have an unusual background but the right skill set, you're welcome to apply. Partner and Technical Experience: - Track record of partnering with systems integrators, cloud providers, or technology and ISV partners to solve complex technical problems, from initial solution design through delivery - Experience building enablement programs, such as certifications, workshops, or delivery playbooks, that let a partner's technical team operate independently instead of depending on you for every deal - Comfortable operating across engineering, partnerships, and sales at the same time - Strong presentation and technical communication skills, able to translate between technical and business stakeholders, including C-suite executives Agent Engineering and Development: - Hands-on experience building with LLM frameworks such as langchain, langgraph, or similar, including RAG patterns and agent architecture - Experience designing evaluation frameworks and iterating on prompts and agent behavior based on results - Strong Python skills Cloud and Integration: - Working knowledge of GCP and/or Azure cloud services. - Experience designing integrations, sample repositories, or reference architectures that other teams can pick up and reuse - Familiarity with vector stores, tool integration, and API design in agentic systems KEY ATTRIBUTES - You build credibility with a partner's technical team and serve as trusted advisor to the partner. - Building and evangelizing are both part of the job. You're equally comfortable writing an integration and presenting it at a partner summit. - You build assets that scale. A reference architecture or enablement guide should work for the next ten partners, not just the one in front of you - You're comfortable with variety. Cloud co-sell, ISV integrations, and SI enablement each look different day to day, and switching between them doesn't throw you off Compensation: Annual salary range: $170,000 to $200,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Enterprise Account Executive (Houston)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. WHAT YOU’LL DO - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies HOW TO BE SUCCESSFUL IN THIS ROLE - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry COMPENSATION Annual OTE range: $300,000 - 350,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Enterprise Account Executive (Colorado)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation & Benefits: - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. - Annual salary: $350K OTE USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Enterprise Account Executive (Chicago)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. We are looking for candidates across the North Central region. WHAT YOU’LL DO - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies HOW TO BE SUCCESSFUL IN THIS ROLE - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry COMPENSATION Annual OTE range: $300,000 - 350,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Deployed Engineer (Houston)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes - Travel to customers up to 40% of the time WHAT YOU’LL BRING - 6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $150,000–$250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Deployed Engineer, Pre-Sales (Dallas)
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market , shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. About the Role The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production . The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. What You’ll Do - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes - Travel to customers up to 25% of the time What You’ll Bring - 6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes , not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production , not just building demos Nice to Have’s - You’ve deployed AI agents in production , especially using LangChain, LangGraph , or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints Compensation Annual OTE range: $200,000–$300,000 USD. Final compensation will depend on experience, skills, and location. Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles. Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Deployed Engineer (Chicago)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. This will be a hybrid in office role in Chicago, IL. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes - Travel to customers up to 40% of the time WHAT YOU’LL BRING - 6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION: Annual OTE range: $200,000–$250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Deployed Engineer (Austin)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes - Travel to customers up to 40% of the time WHAT YOU’LL BRING - 6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $150,000–$250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
AI Engineer, Enablement (London)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Enablement team works directly with companies building AI agents for production, getting new LangChain customers off to a fast, confident start. We own onboarding and instructor-led education for our customers, and run focused advisory sprints for accounts that need deeper support on architecture and evaluation. ABOUT THE ROLE You'll set the technical foundation for every new customer — teaching their teams to build effectively on the platform and advising on agent development and evaluation as they go. You are someone who's built real agent systems, can defend the tradeoffs in them, and genuinely loves teaching, whether that's a live workshop for 50 engineers or a 1:1 debugging session with one stuck developer. You'll also build the internal agents and tools that make the Enablement team itself more efficient. WHAT YOU’LL DO - Own onboarding and education for new enterprise customers to get them building effectively on the platform, fast - Design and run live, hands-on workshops that build real product fluency, not just familiarity - Run focused, time-boxed advisory sprints for customers working through architecture or evaluation challenges - Build internal agents and tools that streamline how the Enablement team operates — automating our processes so the team scales without just adding headcount - Create enablement assets (tutorials, reference implementations, best-practice guides) that scale beyond 1:1 time - Act as the voice of the new customer inside LangChain, feeding friction points back to Product and Engineering - Stay current on agent engineering practice and fold what you learn into what you teach WHAT YOU’LL BRING Technical: - 3+ years building LLM/agent applications — you've designed real agent architectures and evaluation strategies, not just wired up an API call - Strong Python, comfortable writing and debugging code live, in front of a customer Customer-facing & education: - 2+ years in a technical, customer-facing role (Enablement, Customer Success Engineering, Solutions Engineering, or similar), including experience designing and delivering live workshops - Genuine enjoyment of teaching — you'd rather leave a customer more capable than impressed - Can take a complex technical concept and land it with both an individual developer and a room of enterprise stakeholders Additional: - Comfortable operating independently in ambiguity, managing several customer engagements at once - Willing to travel up to 20% for customer engagements NICE TO HAVE - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Hands-on experience with LangSmith (evals, tracing, observability) - Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - TypeScript/JavaScript in addition to Python Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
AI Engineer, Enablement (Amsterdam)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Enablement team works directly with companies building AI agents for production, getting new LangChain customers off to a fast, confident start. We own onboarding and instructor-led education for our customers, and run focused advisory sprints for accounts that need deeper support on architecture and evaluation. ABOUT THE ROLE You'll set the technical foundation for every new customer — teaching their teams to build effectively on the platform and advising on agent development and evaluation as they go. You are someone who's built real agent systems, can defend the tradeoffs in them, and genuinely loves teaching, whether that's a live workshop for 50 engineers or a 1:1 debugging session with one stuck developer. You'll also build the internal agents and tools that make the Enablement team itself more efficient. WHAT YOU’LL DO - Own onboarding and education for new enterprise customers to get them building effectively on the platform, fast - Design and run live, hands-on workshops that build real product fluency, not just familiarity - Run focused, time-boxed advisory sprints for customers working through architecture or evaluation challenges - Build internal agents and tools that streamline how the Enablement team operates — automating our processes so the team scales without just adding headcount - Create enablement assets (tutorials, reference implementations, best-practice guides) that scale beyond 1:1 time - Act as the voice of the new customer inside LangChain, feeding friction points back to Product and Engineering - Stay current on agent engineering practice and fold what you learn into what you teach WHAT YOU’LL BRING Technical: - 3+ years building LLM/agent applications — you've designed real agent architectures and evaluation strategies, not just wired up an API call - Strong Python, comfortable writing and debugging code live, in front of a customer Customer-facing & education: - 2+ years in a technical, customer-facing role (Enablement, Customer Success Engineering, Solutions Engineering, or similar), including experience designing and delivering live workshops - Genuine enjoyment of teaching — you'd rather leave a customer more capable than impressed - Can take a complex technical concept and land it with both an individual developer and a room of enterprise stakeholders Additional: - Comfortable operating independently in ambiguity, managing several customer engagements at once - Willing to travel up to 20% for customer engagements NICE TO HAVE - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Hands-on experience with LangSmith (evals, tracing, observability) - Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - TypeScript/JavaScript in addition to Python Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Staff Software Engineer, Education
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Senior Full Stack Engineer to help build the technical foundation for how Anthropic educates customers and enterprises at scale, and to shape what that even means when AI is the delivery mechanism, not just the subject being taught. Your work will define how millions of people experience learning about Claude: how content is served and adapted in real time, how assessments respond to what a learner actually understands, how credentialing systems verify genuine competence rather than course completion, and how the entire platform evolves as fast as the product it teaches. You'll build the infrastructure that makes AI-native education real — not as a concept, but as a working system that people interact with every day. You’ll own the technical vision for our AI-driven educational experience: the platform layer, enterprise readiness features, the data architecture, the AI-augmented pipelines, the integrations, and the delivery systems. You'll work with a handful of highly technical educational collaborators to own the technical vision and execution for how Anthropic’s education team delivers educational experiences at scale, and you'll build the AI-augmented pipelines and platform capabilities that let a small team of educators operate with reach and responsiveness that would otherwise require an organization ten times larger. This is an engineering role for someone who genuinely cares about how people learn. You'll make platform decisions that are deeply educational, and you need the judgment to make those decisions well, not just implement someone else's spec. You'll interface closely with Anthropic's security, infrastructure, and data teams, and you'll partner with trainers and educators on the GTM, devrel, and education teams who will be your primary stakeholders. Responsibilities - Architect and own Anthropic’s enterprise ready education platform and infrastructure — authentication/SSO, learner data models, content delivery, credentialing, and progress tracking — designed for scale, AI-forward features, and reliability from day one - Own the technical vision for how Anthropic delivers AI-driven educational experiences and shaping what's possible, not just building what's requested. You’ll determine what to build, what to extend, and what to replace as needs evolve - Build AI-augmented pipelines for content generation, real-time adaptation, assessment delivery, and quality assurance — working closely with the education team to understand what these systems need to do pedagogically - Design platform capabilities that enable genuinely new kinds of empowering learning experiences — adaptive paths, competency-based progression, AI-evaluated demonstrations of skill — not just digital versions of traditional courses - Interface with Anthropic's security, infrastructure, and data teams to ensure education systems meet organizational standards and integrate cleanly with existing architecture - Build platform abstractions that let non-engineers on the team configure, extend, and experiment with educational experiences without engineering bottlenecks - Make product-level decisions about how the platform works — you're shaping what the learning experience is, not just serving it You may be a good fit if you have - 7+ years of software engineering experience, with demonstrated ability to take a platform from zero to production at scale - Genuine passion for education — you think about how people learn, you have opinions about what educational technology should look like in an AI-native world, and you want to build it - A strong eye for quality educational content, with a sense of the complex systems that produce it - Full-stack engineering skills with particular strength in backend systems: databases, APIs, authentication, reliability, and infrastructure - Experience building and operating platforms that serve many concurrent users reliably - Comfort with ambiguity and ownership: you'll need to translate pedagogical intent into technical architecture without heavy specification - Experience interfacing with security and infrastructure teams to meet organizational requirements while maintaining development velocity - A working practice of using AI tools in your own engineering workflows — and genuine curiosity about how AI fundamentally changes what educational platforms can be Strong candidates may also have - Experience building or significantly contributing to learning platforms, credentialing systems, or educational technology products - Background in or exposure to learning science, instructional design, or educational research - Experience with SSO/identity (SAML, OAuth), badging standards (Open Badges), or LTI integrations - Familiarity with building systems that incorporate LLM capabilities as core infrastructure - Prior work at a high-growth company where you built platform infrastructure that other teams depended on - Experience designing systems that non-technical users configure and operate The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Software Engineer, Desktop
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for desktop app engineers to join our Claude product team and help build native applications that harness the transformative power of advanced language models. Your mission will be to package our AI capabilities into elegant desktop experiences that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, and product specialists to design and implement key components that bridge our AI technology with intuitive user interfaces. Join us in this exciting mission to transform how people engage with our AI technology and unlock new realms of human potential. Today, our app is mostly web-based – but we’re eager to build the best possible version of Claude for macOS and Windows with a mix of both native and web technologies. You might be a great fit for this role if you’re up for the challenge of learning multiple programming languages. We are more interested in strong engineers excited to learn new languages and technologies to build the best possible experience than we are looking for people with hands-on experience in Chromium, Electron, C++, or the various native macOS and Windows APIs. We believe that strong engineers can learn whatever technology is best suited to build the best possible experience – and we understand that even the best engineers will have little experience with one of the operating systems and areas we’d like to invest in. We’re looking for curious engineers excited to figure out, with us, what AI on the desktop could do. Responsibilities: - Develop and maintain the core infrastructure and features within Claude.ai and in our Electron-based desktop app using a typical web stack (TypeScript, React) - Use native code (Rust, Swift, C++) to bring advanced features to the desktop app, connecting Claude to macOS and Windows - Optimize application performance, memory usage, and startup time across platforms - Design and build robust update mechanisms and deployment pipelines - Create monitoring tools to track application performance and user experience - Build a strong intuition for how advanced LLMs could be most useful on your computer, augmenting humans in their work You may be a good fit if you have: - Have 5+ years of experience as a software engineer, with strong emphasis on desktop application development - Have practical experience with Electron and deep understanding of its architecture - Possess strong JavaScript/TypeScript skills and experience with modern frontend frameworks - Take a product-focused approach and care about building solutions that are robust, scalable, and easy to use - Have experience with native module development in C++ to extend application capabilities - Understand macOS and/or Windows platform-specific technologies and development patterns - Have experience with cross-platform application packaging, code signing, and distribution - Thrive in a fast-paced, collaborative environment and enjoy working closely with cross-functional teams We’re working with a large number of technologies - and you might be an excellent candidate even if you’ve only worked with a subset of them. An ideal candidate may have never used Electron before but does have hands-on experience in working with Chromium’s C++. Similarly, a great candidate may have worked on Electron apps, but hasn’t used C++ or Swift before. We understand that even the best engineers will have more experience with some platforms than others. Strong candidates may also have experience with: - Experience working on and building operating systems, browsers, or deeply OS-integrated software (screensharing, video-calling, game engines, etc) - Experience integrating and working with AI/ML models and understanding their capabilities - Demonstrated success implementing cross-platform development strategies - Vision for the future of AI-powered desktop applications and a drive to make that vision a reality - Have experience with IPC (Inter-Process Communication) and security in desktop applications Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Forward Deployed Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models. Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise. Responsibilities: - Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements. - Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows. - Provide white glove deployment support for Anthropic products in enterprise environments. - Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. - Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks. - Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. - Potential Travel (based on location) to customer sites to build in person with customers. - Estimated 25% - Be a champion for Anthropic’s mission in the field. You May Be a Good Fit If You Have: - 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply. - Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale. - Strong programming skills with proficiency in Python (and ideally in one or more additional languages like Typescript, Java, etc) and experience shipping production applications - High agency with an ability to navigate ambiguity present in complex organizations. - High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity. - Passion for advancing safe, beneficial AI systems through creative technical applications. - Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. - A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus. - Experience with enterprise IT systems and/or AI deployment patterns is a plus. - Experience working as an FDE or in a professional services context is a plus. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Area Manager, Red Team
Scale AI is seeking Area Managers within the Red Team & Safety Center to lead and manage the contributor workforce conducting adversarial safety testing of frontier AI models. Area Managers are responsible for people management, workforce allocation, and operational leadership across multiple campaigns and Campaign Lead teams. DESCRIPTION You will manage a portfolio of ~30–45 contributors, including 2–4 Campaign Leads who report directly to you. You will own workforce allocation decisions, conduct performance reviews, take HR actions, and serve as the primary interface between the contributor workforce and Scale leadership, HR, IT, and EOR partners. KEY RESPONSIBILITIES - Manage 2–4 Campaign Leads and oversee a total contributor population of ~30–45 - Own workforce allocation: Receive project staffing requests from delivery, assign contributors based on skill, availability, and project needs - Conduct weekly 1:1 performance feedback sessions with Campaign Leads and contributors; draft performance documentation with input from CLs - Take HR actions including “seek to understand” conversations, performance improvement plans, and escalations to HR - Manage all EOR administrative coordination: Timecards, PTO, benefits questions, and teaming partner liaison with HireArt - Coordinate with support staff (HR, IT, facilities) on contributor onboarding, offboarding, and operational needs - Provide subject matter oversight across campaigns: Domain guidance, content policy consultation, and quality calibration - Identify and develop tools, processes, and product features to improve operational efficiency and contributor success - Conduct training sessions for new contributors; manage knowledge transfer and onboarding processes MINIMUM QUALIFICATIONS - 2+ years of professional experience in AI red teaming, trust and safety, content safety operations, or a closely related field - 1+ years of direct people management or team leadership experience - Strong organizational and workforce planning skills; ability to manage allocations across multiple concurrent projects - Excellent written and verbal communication skills; ability to deliver clear performance feedback and represent team needs to leadership - Experience with HR processes including performance management, corrective actions, and onboarding - Ability to work with sensitive or graphic material across text, image, video, audio, and agentic modalities PREFERRED QUALIFICATIONS - Experience managing managed workforce operations in technology, BPO, content moderation, or government services - Familiarity with EOR/staffing agency coordination and co-employment considerations - Background in AI/ML safety evaluation, adversarial testing, or model policy development - Experience with productivity analytics, workforce planning tools, or operational dashboards COMMITMENT AND LOCATION - Full-time, FTE-Field position at Scale AI - Onsite role based in Southlake, TX - Reports to Red Team & Safety Center Lead This role may involve exposure to sensitive or distressing content across text, image, video, audio, and agentic modalities, including material that is sexual, violent, or otherwise disturbing. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Texas is: $98,000 - $122,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Technical Product Marketing Manager
ABOUT PINECONE: Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone’s mission is to make AI knowledgeable. More than 109,000 customers across various industries have shipped AI applications faster and more confidently with Pinecone’s developer-friendly technology. Pinecone is based in New York and has raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. ABOUT THE ROLE/TEAM: As a Technical PMM, you will help developers, software engineers, and machine learning scientists understand how Pinecone enables knowledgeable AI applications. You will accomplish this through messaging and positioning, GTM strategy, launch planning, and enablement for key product features. You will work closely with Product, Sales, Developer Relations, and Marketing teams to ensure our customers understand the value of our platform. RESPONSIBILITIES: - Product Launches & GTM Strategy: - Develop launch plans for product releases, align with product teams, and manage GTM execution. - Lead core launch teams with cross-functional members (documentation , communications, developer relations, product, growth marketing, etc). - Measure customer impact and adoption post-launch, iterating on strategies as needed. - Positioning & Messaging: - Craft compelling, technically accurate messaging for AI-powered search and retrieval solutions. - Build product narratives for enterprise and developer audiences that differentiate Pinecone from competitors. - Develop and maintain positioning for new product capabilities - Customer & Market Insights: - Partner with customers to develop case studies, gathering business impact metrics and architectural insights. - Engage in customer interviews and research to refine messaging and identify key value drivers. - Content Development & Enablement: - Develop internal and external enablement materials, including sales training, pitch decks, and GTM enablement sessions. - Collaborate with marketing to create social posts, blogs, and technical content. REQUIREMENTS: - 5+ years of experience in product marketing, ideally at a developer-focused or AI/ML infrastructure company. - Strong technical acumen with hands-on experience in AI, ML, vector search, cloud computing, or databases. - Proven track record in launching technical products and driving adoption in enterprise and developer communities. - Ability to translate complex technical concepts into clear, compelling messaging for different audiences. - AI-native workflow from content creation to automating away process - Experience working cross-functionally with Product, Engineering, Developer Relations, and Sales teams. - Excellent written and verbal communication skills. BONUS POINTS: - Experience in developer marketing or working directly with AI/ML practitioners. - Familiarity with vector databases, retrieval-augmented generation (RAG), or search technologies. - Knowledge of cloud infrastructure and AI model deployment. PERKS & BENEFITS: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
Researcher, Multimodal Safety
About the Team OpenAI is at the center of some of the highest-impact multimodal work in AI. ChatGPT serves a massive global audience, and enables diverse interactions via text, speech, and visuals. As interactive surfaces grow, models also need to adapt to emerging harm, understand user intent and situational context, and respond appropriately. The Chat and Multimodal Safety team is responsible for ensuring that OpenAI’s increasingly multimodal models and products behave safely across these experiences. We develop the research, training methods, and evaluations needed to make these experiences safe. Our work sits at the frontier of responsibly deploying powerful AI, in close partnership with Personal AGI, io, model training, and product teams. About the Role As a Researcher on the Chat and Multimodal Safety team, you will help shape how frontier models perceive and reason the world, and translate that understanding into safe behavior. We’re looking for people who combine deep technical expertise with strong safety judgment. Strong candidates often bridge perception and language: they may have built vision-language models, worked on modality fusion or image encoders, developed multimodal post-training or evaluations, or advanced safety for image, video, or audio systems. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Define and advance multimodal safety research for text, vision, and audio, connecting perception and semantic understanding to safe model behavior. - Build training and evaluation methods for VLMs, including post-training, safety evals, and interventions that help models respond safely and appropriately in varied contexts. - Collaborate closely with Personal AGI, Consumer Devices, and product/model teams to translate research into safer ambient, embedded, and personalized multimodal experiences. You might thrive in this role if you: - Have a track record of building or advancing multimodal models, with depth in vision-language models, video understanding, image generation, audio, or multimodal reasoning—and fluency across both perception and language. - Understand how multimodal systems work end to end, from encoders, projection layers, and modality fusion to cross-modal reasoning, scaling, and inference tradeoffs. - Have improved frontier model behavior through post-training, using approaches such as SFT, RL, data curation, synthetic data, evaluation, and rigorous error analysis. - Bring strong research and engineering judgment to open-ended safety problems: you can form testable hypotheses, design decisive experiments and evaluations, diagnose model failures, and translate findings into robust improvements. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Product Designer, Engineering Acceleration
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Engineering Acceleration team builds products that multiply the effectiveness of OpenAI’s technical teams, helping engineers, researchers, and product teams understand complex systems, learn from what they ship, and operate reliably at scale. As AI changes how software is built, we have an opportunity to rethink engineering workflows from first principles. We’re creating tools and shared systems that turn complex data, experimentation, and technical workflows into clear decisions and useful action. About the Role In this role, you’ll lead design across two connected product areas: a real-time data exploration and observability experience for investigating large-scale system and product behavior, and an experimentation platform for safely launching changes, measuring their impact, and deciding whether to ramp, iterate, or roll back. This is more than a dashboard-design role. You’ll define the interaction models that take someone from a vague question or unexpected signal to a trustworthy answer and clear next step. You’ll work closely with engineers, researchers, data scientists, and product teams to understand the mechanics of their work and make dense technical systems coherent without flattening the details that matter. You’ll also help establish greater consistency across OpenAI’s enterprise and internal tools, developing durable patterns that support AI-native workflows and enable other designers to build more effectively. This role is based in our Seattle, WA or San Francisco, CA offices. We offer relocation assistance to new employees. In this role, you will: - Lead end-to-end design for data-intensive products used by engineers, researchers, and product teams. - Shape the complete learning loop: instrument, launch, observe, investigate, evaluate, decide, and iterate. - Create clear, high-craft workflows for querying, filtering, comparison, drill-down, visualization, alerting, and sharing. - Make complex concepts—including data freshness, coverage, reliability, uncertainty, experiment assignment, metric validity, rollout state, and regressions—understandable and actionable. - Partner closely with engineering, data science, research, and product management to translate deeply technical infrastructure into elegant, coherent product experiences. - Use prototyping, research, and rigorous design exploration to establish interaction patterns for emerging technical and AI-native workflows. - Define shared systems and patterns that create consistency across OpenAI’s enterprise and internal tools. - Establish a high bar for information architecture, visual hierarchy, interaction quality, and craft across complex, multi-surface products. You might thrive in this role if you: - Have substantial experience owning data products, observability platforms, experimentation systems, analytics products, developer tools, AI/ML tooling, or similarly technical workflows. - Are a strong product and systems thinker who can set direction in an ambiguous space and make durable interaction and platform decisions. - Can make dense information feel calm, legible, and useful without oversimplifying important complexity. - Are technically fluent, enjoy learning how underlying systems work, and can build credibility with engineers and other highly technical users. - Have strong instincts for trust and understand how provenance, reliability, uncertainty, permissions, and edge cases affect whether people act on a system’s output. - Have redesigned workflows spanning multiple tools, products, or surfaces and can create coherence across a broader ecosystem. - Have strong UX/UI and interaction design skills, with a high bar for contemporary visual craft and information design. - Can demonstrate how your work changed product decisions, accelerated learning, or improved the velocity of the teams you supported. - Enjoy staying close to detailed workflows and hands-on design while helping shape a broader product vision. - Are excited to define how engineers and AI agents will build, evaluate, and improve software together. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Manager, Commercial Account Management
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team Our post-sale team owns the full customer relationship for commercial customers driving adoption, retention, and expansion. Account managers on this team act as trusted commercial advisors, helping customers realize the full value of LangChain while protecting and growing revenue through renewals and expansion. The team works closely with Product, Engineering, and RevOps to deliver a seamless customer journey. About the Role We're hiring a Manager to lead and scale our Commercial Account Management team. You'll be responsible for the performance of the team as a whole, coaching individual account managers, setting the strategy and cadence for how the team manages renewals and expansion, and owning the portfolio-level retention and net revenue retention numbers that result. This is a player-coach role early on: you'll need to be able to step into a deal or a customer relationship directly when it matters, while building the systems and talent that let the team scale. What You'll Do - Hire, coach, and develop a team of commercial account managers, setting clear goals and providing regular feedback on pipeline management, negotiation, and customer relationship skills - Own the team's rolling forecast and consistently meet or exceed quarterly and annual retention and expansion targets across the portfolio - Build and refine the playbooks, processes, and tools the team uses to manage the customer lifecycle, from onboarding through renewal and expansion - Review portfolio health regularly with your team, helping them identify churn risk early and prioritize the right accounts and interventions - Get directly involved in complex or high-stakes renewals and expansion conversations, including commercial negotiation and deal structuring, when your experience can move a deal forward - Build scaled account management practices to provide the team leverage and focus their energy on building a stronger customer relationship - Partner with Deployed Engineers, RevOps, and Product to align on a unified post-sale strategy and to represent the voice of the customer in product evolution - Set and track the metrics that matter for the team: retention, NRR, forecast accuracy, pipeline coverage, and report on team performance to leadership - Support your team through quoting, procurement, and contract processes, and help resolve escalations that require additional commercial or organizational leverage What You'll Bring - 6+ years of experience in a quota-carrying, customer-facing role such as Account Management, Customer Success, or Renewals Management, preferably within B2B SaaS - 2+ years of experience directly managing or leading a team of account managers, customer success managers, or similar quota-carrying reps - A proven track record of hitting team-level retention and expansion targets (e.g., Gross Renewal Rate, Net Revenue Retention), not just individual quota - Strong coaching instincts, you can diagnose what's holding a rep back in a negotiation or renewal cycle and help them improve - Strong commercial acumen, with experience overseeing complex, multi-stakeholder renewal and expansion cycles - Strong technical aptitude and the ability to understand and articulate the value of complex technical products; familiarity with the modern AI/LLM stack is a significant plus - Exceptional communication skills, with the ability to represent the team's priorities to cross-functional leadership and to build rapport with customer executives directly when needed - Proficiency with CRM software (e.g., Salesforce) for forecasting and pipeline oversight - Comfort operating with a high degree of autonomy and ambiguity in a fast-paced, high-growth environment Nice to Have's - Direct experience at a high-growth, developer-first, or AI/ML infrastructure company - Experience managing a team through a consumption or usage-based pricing model - Experience building an account management function from an early or immature stage, writing the first version of the playbook, not just inheriting one Compensation $275k OTE Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Commercial Counsel
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE LangChain builds infrastructure that powers AI-native applications. Our open-source framework and commercial products enable developers and enterprises to build, deploy, and scale applications with large language models. We are seeking a business-minded Commercial Counsel to support a broad range of commercial legal work across LangChain’s go-to-market and business operations. In this role, you will draft, review, and negotiate a mix of customer, partner, vendor, and other commercial agreements, helping the business move quickly while thoughtfully managing legal and operational risk. This is a highly cross-functional role for someone who enjoys working close to the business and is excited to support both day-to-day contracting and the systems that make contracting more scalable. You’ll work closely with teams across Sales, Partnerships, Finance, Security, Product, Revenue Operations, and Operations to help structure, negotiate, and execute agreements that support LangChain’s growth. Over time, this role may take on increasing responsibility for LangChain’s partner and alliances work, including technology partnerships, channel relationships, integrations, and strategic go-to-market initiatives. In the near term, the role will support a broader variety of commercial agreements, including vendor contracts, while helping build out the processes and infrastructure needed for scale. You will also play an important role in improving LangChain’s commercial legal operations, including helping design vendor review processes, contracting workflows, templates, playbooks, approval paths, and supporting the implementation of Ironclad. WHAT YOU’LL DO - Draft, review, redline, and negotiate a broad range of commercial agreements, including customer agreements, partner agreements, vendor agreements, NDAs, order forms, MSAs, DPAs, security addenda, amendments, and related commercial documentation. - Support LangChain’s Sales, Partnerships, Finance, Security, Product, Revenue Operations, and Operations teams by providing practical, business-oriented legal guidance. - Review and negotiate commercial agreements efficiently, while identifying when issues require escalation or cross-functional input. - Support enterprise sales deals as needed, including SaaS, cloud, and technology agreements with sophisticated customers. - Support partner and alliance-related agreements, including technology partnerships, referral arrangements, reseller or channel relationships, integration partnerships, marketplace arrangements, co-selling motions, and strategic collaborations. - Review and negotiate vendor agreements and help develop a scalable vendor review process, including intake, risk assessment, approval workflows, fallback positions, and cross-functional review practices. - Partner closely with internal stakeholders to facilitate efficient deal execution while balancing legal, business, security, financial, and operational risk. - Advise on contractual issues related to data protection, privacy, security, intellectual property, AI/LLM usage, confidentiality, indemnities, limitation of liability, compliance, partner programs, integrations, and vendor risk. - Help implement and operationalize Ironclad, including contract intake workflows, approval routing, templates, clause libraries, playbooks, reporting, and process improvements. - Contribute to the development and continuous improvement of contract templates, negotiation guidelines, approval workflows, fallback positions, and scalable contracting processes. - Identify patterns across customer, partner, and vendor negotiations and recommend practical improvements to LangChain’s standard positions, processes, and risk frameworks. - Serve as a trusted legal partner to business stakeholders, helping teams understand tradeoffs and make sound decisions in ambiguous or fast-moving situations. WHAT YOU’LL BRING - 5–8 years of experience drafting, reviewing, and negotiating commercial technology agreements, ideally with a mix of law firm and in-house experience. - In-house experience at a SaaS, infrastructure, AI, cloud, developer tools, enterprise software, or high-growth technology company strongly preferred. - Experience with a broad mix of commercial agreements, including customer agreements, vendor agreements, partner agreements, NDAs, MSAs, order forms, DPAs, security addenda, amendments, and related documentation. - Experience supporting partnerships, alliances, channel, reseller, marketplace, referral, integration, co-sell, or other ecosystem-driven commercial arrangements. - Strong foundation in SaaS, cloud, or technology contracting, including familiarity with data privacy, security, intellectual property, confidentiality, indemnity, limitation of liability, AI/LLM usage, and compliance issues in a B2B technology environment. - Comfort managing a steady volume of agreements of varying complexity, from routine vendor or commercial contracts to more strategic partner or customer transactions. - Ability to independently manage negotiations while knowing when to escalate novel, complex, or higher-risk issues. - Experience helping build or improve legal processes, contracting workflows, approval paths, templates, playbooks, vendor review processes, or other legal operations infrastructure. - Experience with Ironclad or another contract lifecycle management platform is a plus. - Strong business judgment and the ability to balance legal risk with commercial objectives in a fast-paced, high-growth environment. - Excellent communication skills and comfort advising non-legal stakeholders across Sales, Partnerships, Product, Security, Finance, Revenue Operations, and Operations. - Highly organized, responsive, and able to manage multiple priorities with strong attention to detail. - Low-ego, collaborative, and excited to help build scalable legal processes for a growing company. - Admitted to practice law in the applicable jurisdiction; California admission preferred, or ability to register as in-house counsel in California. Compensation range: 150K - 215K + equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Staff+ Site Reliability Engineer, Safeguards ML In...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: The Safeguards ML Infra team designs, builds, and operates the production infrastructure that powers Claude's safety systems. We own the critical backend services that ensure safety on the token generation path, and we own the operational work of getting those systems safely into production: standing up safeguards for every new model launch, and deploying new safety classifiers as they ship. Every frontier model release runs through this team – we configure, verify, and roll out safeguards across every platform Claude runs on (1P, AWS Bedrock, GCP Vertex, etc.), and we lead incident response when issues arise. This role sits at the center of that operational work. You'll ensure safeguards are properly configured and deployed for model launches and own the off-cycle deployment of new safety classifiers — canarying changes, verifying that the right safeguards are provably live on the right models, and holding rollback authority when something looks wrong. Every launch should also shrink the checklist, and the manual verifications should evolve into a system that runs itself. You'll turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline. We're looking for engineers with deep experience in production change management at scale — people who have owned deploy pipelines, config management systems, rollout safety, or launch readiness for systems under real production pressure. Familiarity with ML research or transformer architectures is not required — you will learn that on the job. What we prioritize is production judgment: a track record of shipping changes to critical systems safely, and of automating yourself out of the work you did last quarter. What you'll do: - Launch captain model releases: stand up, configure, and verify safeguards for every new model, and serve as the safeguards point of contact in the launch room during release windows. - Own the off-cycle deployment of new safety classifiers as they ship from research — canarying rollouts, running post-deploy validations, and investigating discrepancies when something looks wrong. - Verify that the right safeguards are provably live on the right models across every deployment platform (1P, AWS Bedrock, GCP Vertex, etc.), and detect and eliminate configuration drift between them. - Automate yourself out of last quarter's work: turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline. - Plan to use Claude aggressively to do this! And be a trailblazer that paves the path for safe agentic operations of safety-critical systems. - Build and maintain a safeguards registry with full provenance — what is running in production, on which model, on which platform, and when and by whom it was deployed. - Participate in on-call and operational-duty rotations covering service incidents, model provisioning, and time-sensitive research and safety launches. You may be a good fit if you: - Have owned production change management at scale — deploy pipelines, config management systems, canary analysis — and have strong opinions about what "verified" means. - Have run high-stakes releases: served as a launch captain, incident commander, or release owner for systems where a bad deploy has real consequences, and are energized rather than drained by being in the critical path. - Have meaningful on-call experience for production systems, including incident response and postmortem-driven improvements — and a track record of turning (and fixing!) postmortem action items into process and tooling changes. - Have a desire to close the gap where nobody has yet raised their hand, even if it requires manually hand-holding processes until automation and tooling can be built. - Have hands-on experience deploying and operating on cloud platforms (AWS, GCP) at scale. - Are proficient in Python; experience with Rust is a plus but not required. Strong candidates may also have: - 8+ years of industry software engineering or site reliability engineering experience. - A demonstrated history of reducing operational toil through automation, including transitioning teams from manual deployment processes to self-serve pipelines. - Experience running launch or production-readiness review processes across multiple teams. - Familiarity with LLM inference systems and the operational characteristics of transformer-based models. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Research Engineer / Research Scientist / AI System...
About the Team The Recursive Self-Improvement (RSI) team works across research, engineering, product, and infrastructure to build AI systems that accelerate and ultimately conduct high-quality research at OpenAI. We work to automate real research workflows and improve research productivity by building systems and feedback loops, designing evaluations, and training models to develop missing capabilities. Our work spans the full lifecycle of model training, evaluation, and deployment to help researchers move faster and tackle increasingly ambitious problems. About the Role We’re hiring research scientists , research engineers , and AI systems engineers to work on automating research at OpenAI. This role is based in San Francisco, CA. In this role, you will: - Design evaluations for research judgment, hypothesis generation and testing, and long-horizon experiment execution. - Turn real research workflows and model failures into data and evaluation flywheels. - Improve model research capabilities through agent harnesses, synthetic data, RL environments, and model training. - Build and maintain safe, reliable integrations between our models and OpenAI’s research infrastructure. - Develop research agents, experiment-orchestration systems, and sandboxed runtimes that support real research workflows. - Create metrics and economic models to understand RSI’s current and future effects on research productivity, model capabilities, and the safety of internal deployments. This is a high-ownership role for researchers and engineers who thrive in ambiguity, move fluidly between research and implementation, and turn emerging opportunities into rigorous, reliable, scalable results. You might thrive in this role if you: - Have research or engineering experience across LLM training, model evaluations, agent systems, synthetic data, research infrastructure, or large-scale distributed systems. - Are a strong generalist who can move between open-ended research and practical implementation, turning ambiguous problems into clear results. - Collaborate effectively across the full stack, including systems, data, model training, evaluations, and other research teams. - Are comfortable building and maintaining the data pipelines, tooling, and infrastructure needed to support emerging AI capabilities. - Are comfortable working on problems without clear definitions or established playbooks. - Think rigorously about scientific quality, research taste, safety, privacy, reliability, performance, and scale. - Are excited about using increasingly capable AI systems to accelerate meaningful research. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Research Engineer / Research Scientist - Personal...
About the Team The Personalization-Memory team, within OpenAI's broader Personal AGI organization, is focused on developing agents that can learn from prior interactions in order to become more helpful and efficient over time. We build general-purpose memory and personalization capabilities that transfer across ChatGPT and other agentic products, and we collaborate with applied engineering on the product surfaces that allow users to interact with memory. About the Role As a Research Engineer / Research Scientist on the Personalization-Memory team, your work will span memory architecture, post-training, and developing long-horizon tasks for training and evaluations. We're looking for individuals who have a background in reinforcement learning research, are able to iterate quickly, and who can convert scientific rigor and long-term research into realized product impact. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own and pursue a research agenda for improving long-horizon memory and personalization in frontier models. - Build robust evaluations for tracking modeling improvements. - Design, implement, test, and debug code across our research stack. - Collaborate closely with the research and product teams to influence the shape of technical solutions in the product. You might thrive in this role if you: - Love being on the cutting edge of RL and frontier model research. - Value principled approaches and research craftsmanship. - Are passionate about long-horizon tasks, memory, and turning your research into product impact. - Are comfortable diving into a large ML codebase to debug. - Thrive in a fast-paced, dynamic, and technically complex environment. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Machine Learning Data Scientist, Forecasting
About the Team The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-To-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our expanding Data Science function, we’re building a best-in-class Forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more. We are developing scalable forecasting infrastructure to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy - supporting key investment decisions and unlocking OpenAI’s full potential. About the Role We’re looking for a senior Machine Learning Data Scientist to lead our forecasting initiatives. You’ll be one of the founding members of the Forecasting pillar within Strategic Finance Data Science, responsible for building and scaling robust, interpretable, and production-ready forecasting systems. Your models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, LTV, compute consumption, and profitability. This is a highly cross-functional role, requiring technical excellence, strong product intuition, and business acumen. You’ll collaborate with product managers, researchers, engineers, and finance leaders to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Build statistical and machine learning models to solve forecasting needs across product, finance, infrastructure, and GTM domains. - Own the end-to-end modeling lifecycle , including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability. - Develop and productionize scalable, interpretable forecasts for user growth, monetization, compute load, customer lifetime value, and profitability. - Contribute to self-service forecasting tools and internal platforms , enabling teams across OpenAI to access and act on real-time predictions. - Research and evaluate emerging tools and techniques in the forecasting space, such as TimeGPT, large language model extensions, causal forecasting, and hybrid approaches. - Drive strategic insight generation by translating technical outputs into business-aligned recommendations and decision frameworks. - Collaborate closely with cross-functional teams to ensure forecasts are well-integrated into planning processes, experimentation workflows, and executive decision-making. You might thrive in this role if you have: - Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research). - 7+ years of experience in applied data science, with deep hands-on exposure to forecasting, predictive modeling, or marketplace systems. - Expertise in time-series forecasting techniques and practical understanding of model trade-offs across performance, explainability, and scalability. - Proficiency in Python , SQL , and tools such as scikit-learn, PyTorch/TensorFlow, and forecasting libraries. - Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments. - Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders. - Self-directed, intellectually curious, and comfortable leading ambiguous projects from 0→1. Bonus if you have: - Experience building or scaling forecasting platforms in a high-growth company. - Familiarity with causal inference, Bayesian forecasting - Passion for AI and a strong point of view on how machine learning should inform strategic decisions in fast-moving environments. LI-NM2 About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Technical Deployment Lead
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis. You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors. Responsibilities - Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against. - Lead technical discovery. Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments. - Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Own product scoping for field engagements. Define the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve. - Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders. - Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors. - Codify reusable delivery assets. Build solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models. - Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics. - Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed. - Run delivery operations. Sprint ceremonies, milestone reviews, and progress reporting. - Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (25–50% expected). You May Be a Good Fit If You - Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role. - Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. - Have experience in a specialized vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.). - Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs. - Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making — ideally across multiple workstreams in regulated industries. - Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments. - Thrive in ambiguity and bring structure where none exists. - Have a builder's mindset — you're here to create a function, not join one. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $275,000 - $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Researcher, Frontier Cybersecurity Risks
About the team Models are becoming increasingly capable—moving from tools that assist humans to agents that can plan, execute, and adapt in the real world. Mitigating the frontier risks resulting from these capabilities is paramount to OpenAI’s ability to continue deploying models safely. The Preparedness team is dedicated to addressing these critical risks. Our work includes: - Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. - Mitigation. Keeping misuse and misalignment safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. - Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework , and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. About the role Models are becoming increasingly capable—moving from tools that assist humans to agents that can plan, execute, and adapt in the real world. As we push toward AGI, cybersecurity becomes one of the most important and urgent frontiers: the same systems that can accelerate productivity can also accelerate exploitation. As a Researcher for cybersecurity risks, you will help design and implement an end-to-end mitigation stack to reduce severe cyber misuse across OpenAI’s products. This role requires strong technical depth and close cross-functional collaboration to ensure safeguards are enforceable, scalable, and effective. You’ll contribute directly to building protections that remain robust as products, model capabilities, and attacker behaviors evolve. In this role, you will: - Design and implement mitigation components for model-enabled cybersecurity misuse—spanning prevention, monitoring, detection, and enforcement—under the guidance of senior technical and risk leadership. - Integrate safeguards across product surfaces in partnership with product and engineering teams, helping ensure protections are consistent, low-latency, and scale with usage and new model capabilities. - Evaluate technical trade-offs within the cybersecurity risk domain (coverage, latency, model utility, and user privacy) and propose pragmatic, testable solutions. - Collaborate closely with risk and threat modeling partners to align mitigation design with anticipated attacker behaviors and high-impact misuse scenarios. - Execute rigorous testing and red-teaming workflows, helping stress-test the mitigation stack against evolving threats (e.g., novel exploits, tool-use chains, automated attack workflows) and across different product surfaces—then iterate based on findings. You might thrive in this role if you: - Have a passion for AI safety and are motivated to make cutting-edge AI models safer for real-world use. - Bring demonstrated experience in deep learning and transformer models. - Are proficient with frameworks such as PyTorch or TensorFlow. - Possess a strong foundation in data structures, algorithms, and software engineering principles. - Are familiar with methods for training and fine-tuning large language models, including distillation, supervised fine-tuning, and policy optimization. - Excel at working collaboratively with cross-functional teams across research, security, policy, product, and engineering. - Have significant experience designing and deploying technical safeguards for abuse prevention, detection, and enforcement at scale. - (Nice to have) Bring background knowledge in cybersecurity or adjacent fields. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Strategic Projects Lead, Public Sector - Cyber
Scale AI is at the frontier of the AI industry, improving the world’s leading generative AI and large language models through model evaluations, human-powered supervised fine-tuning datasets, world-class reinforcement learning with human feedback, and more. Scale AI’s Public Sector team is growing in the Generative AI, Public Sector space, and we’re seeking a Cyber focused Strategic Projects Lead to lead high-impact cyber projects that drive experimentation. In this role, you’ll work across operations, engineering, customer engagement, and directly with our clients to produce world-class cyber test and evaluation and training data for Large Language Models for our Public Sector customers. This role offers a rare opportunity to make a meaningful impact at the intersection of cyber, AI and national security. You will build human data labeling pipelines from the ground up, create operational processes to manage and optimize an in-house expert data workforce, and develop novel technology-driven approaches (e.g., scripts, prompt engineering, hybrid data) to improve the quality of both our training and evaluation datasets. You will also own the financial and technical viability of your programs by managing project COGS and partnering with Go-to-Market teams to scope customer engagements through taxonomy design and feasibility validation, ensuring deals are scalable, executable, and economically sound. In addition, you will partner directly with our internal machine learning experts and external stakeholders to ensure our data enables the development of mission-critical applications of AI. Help shape the future of AI by joining a fast-growing team built on exceptional data, tools, and systems. You Will: - Develop, build, and maintain the operations infrastructure required to ensure data labeling pipelines are efficient, scalable, and produce high-quality outputs. - Partner closely with customers to understand their requirements and design dataset taxonomies that evaluate agents and models or improve model performance. - Take ownership of day-to-day progress on high-priority data production pipelines, ensuring projects move forward efficiently - Partner with subject matter experts in their fields to validate the quality of our data and to translate deep cyber domain knowledge into scalable processes and measurable outcomes. - Work with our Machine Learning and Go-to-Market teams to scope customer engagements via technical feasibility validation to ensure deals are scalable and executable. - Influence cross-org collaboration to define and advance human data strategy, influencing technical and non-technical stakeholders to ensure data quality, scalability, and long-term platform leverage. - Own the financial health of programs by managing project-level COGS through workforce planning, tooling decisions, and process optimization. - Utilize analytics and data visualization tools to track progress, identify bottlenecks, and make data-driven decisions to optimize pipeline performance - Own larger and larger components of our data delivery processes, until you ultimately serve as the full owner of our most visible and high impact customer pipelines You have: - An active Top Secret security clearance - Demonstrated experience in cybersecurity domains such as penetration testing, red/blue teaming, vulnerability assessment, network security, or cyber operations. - 2-3 years of experience in product development, data science, or operations - A history of successful project management and comfort in ambiguity - Ability to analyze complex operational data, build queries, and identify trends to inform decisions and optimize processes - Technical aptitude to understand how to produce data for state of the art post-training techniques such as supervised fine tuning (SFT), reinforcement learning through human feedback (RLHF), Reinforcement Learning with Verifiable Rewards (RLVR) etc Nice to have: - Experience working in defense tech and/or an AI company - A technical degree in fields like computer science, data science, or engineering - A deep understanding of ML operations for generative AI workflows / products Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $139,200 - $174,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Sr. Director, Forward Deployed Engineering
About Scale AI Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We work with leading enterprises to bring generative AI safely into production—powering real-world impact through rigorous evaluation, deployment, and execution. The Role The Sr. Director, Forward Deployed Engineering (US East) will lead Scale’s enterprise customer engagements across the Eastern United States. This role sits at the intersection of customer leadership, applied AI, and execution—owning how Scale partners with Fortune 500 executives to design, build, and deploy AI-powered systems that deliver measurable business outcomes. As a regional leader and peer to Scale’s existing Forward Deployed leadership, you will manage and grow multidisciplinary teams of applied scientists and full-stack engineers, shape how we deliver agentic AI applications in customer environments, and set the bar for executive-level customer engagement. This is a high-impact leadership role in a period of regional expansion and organizational evolution. You will: - Lead all US East enterprise customer engagements, serving as the senior technical and delivery executive for Scale’s most strategic accounts. - Partner closely with Sales, Product, and Engineering leadership to support customer acquisition, expansion, and long-term success. - Build and manage forward-deployed teams composed of applied scientists and full-stack software engineers, structured into customer-specific technical pods. - Own end-to-end delivery execution for customer deployments, ensuring reliability, rigor, and measurable business impact. - Guide teams in building production-grade, agentic AI applications for Fortune 500 enterprises. - Establish and enforce an evals-first approach to customer deployments, ensuring performance, safety, and reliability standards are met. - Lead senior-level technical conversations with customer executives, demonstrating Scale’s credibility as a trusted AI partner. - Support technical upsell conversations by articulating architectural tradeoffs, capabilities, and future-state possibilities (with commercial ownership held by AEs). - Hire, develop, and mentor forward-deployed leaders and ICs, including training teams on executive-level customer interaction and professional standards. - Help shape Scale’s regional forward-deployed strategy as part of a broader global and US restructuring. Ideally you’d have: - 12+ years of experience in software engineering, applied ML, or AI systems, with significant leadership responsibility. - Proven experience leading customer-facing technical teams delivering complex systems for large enterprise customers. - Executive presence and credibility with senior Fortune 500 stakeholders, including experience navigating high-stakes technical discussions. - Strong technical foundation in either applied machine learning or full-stack / distributed systems engineering (strength in one, fluency in the other). - Demonstrated ability to translate ambiguous customer needs into concrete technical solutions and delivery plans. - Experience partnering with sales and product teams in pre-sales, expansion, and delivery contexts. - A track record of building, scaling, and managing high-performing multidisciplinary teams. Nice to have: - Experience deploying generative AI or agentic systems in production enterprise environments. - Background in consulting, forward-deployed engineering, or professional services for technical products. - Experience building evaluation frameworks for ML or AI system performance. - Prior responsibility for regional or multi-account technical leadership. Leveling Note This role is flexibly leveled (Director to Sr. Director) based on candidate experience, scope, and demonstrated leadership impact. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $285,200 - $356,500 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Research Engineer / Research Scientist - Personal...
About the Team The Personalization-Memory team, within OpenAI's broader Personal AGI organization, is focused on developing agents that can learn from prior interactions in order to become more helpful and efficient over time. We build general-purpose memory and personalization capabilities that transfer across ChatGPT and other agentic products, and we collaborate with applied engineering on the product surfaces that allow users to interact with memory. About the Role As a Research Engineer / Research Scientist on the Personalization-Memory team, you will research and develop improvements to memory usage and personalization in OpenAI's frontier models. Our team works on reinforcement learning, dataset creation, evaluations, and other post-training methods. We partner closely with research and product teams across the company to realize the vision of a truly personalized ChatGPT. We're looking for individuals who have a background in frontier model post-training, are able to iterate quickly, and who are passionate about product-driven research. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own and pursue a research agenda for improving memory use and personalization in frontier models. - Build robust evaluations for tracking modeling improvements. - Design, implement, test, and debug code across our research stack. - Collaborate closely with the research and product teams to influence the shape of technical solutions in the product. You might thrive in this role if you: - Are passionate about personalization and building personalized assistants. - Have experience working with user signals and human data to turn feedback into reliable signals for training and evaluation. - Have a deep understanding of frontier model post-training and machine learning applications. - Value principled approaches and research craftsmanship. - Are comfortable diving into a large ML codebase to debug. - Thrive in a fast-paced, dynamic, and technically complex environment. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Research Engineer, LangSmith Engine
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM: The LangSmith Engine team is building a proactive agent engineer that analyzes production traces, identifies important failures, recommends and writes fixes, and helps prevent those issues from coming back. We’re building agents that can understand complex software systems and continuously improve the quality of other AI agents. ABOUT THE ROLE: We’re looking for an experienced research engineer to help make the Engine agent more capable and more efficient. You’ll study real agent failures, build benchmarks that capture what matters, run experiments to improve performance, and turn successful ideas into production. This may include prompting and agent-harness improvements, model selection, fine-tuning and post-training custom models. The focus is on measurable improvements to the overall agent. This role also requires a understanding of production engineering and system-level tradeoffs. Engine is a production system, so improving an agent is not just about maximizing benchmark performance—it also means understanding the impact on cost, latency, reliability, and scalability. You’ll work in the same team with production engineers to design, test, and ship improvements that work reliably in real-world environments. Location: SF and NYC WHAT YOU’LL DO: - Build and maintain benchmarks and evaluations that measure the quality and efficiency of Engine agents on real-world tasks. - Design and run experiments to improve agent performance across models, prompting, context, tools, orchestration, and agent strategies. - Explore and implement post-training and fine-tuning techniques when they can meaningfully improve agent capabilities, quality, or cost. - Turn successful experiments into production improvements, working closely with engineers and researchers to measure impact and prevent regressions. - Help define the ML roadmap and technical direction for improving Engine agents, and mentor other engineers through strong technical leadership. WHAT YOU’LL BRING: - 4+ years of experience in ML/AI research, or a closely related field. - Master’s or Ph.D. in a relevant scientific field. - Hands-on experience working with LLMs and AI agents, including analyzing model behavior and improving real-world performance - Strong experience designing benchmarks, evaluations, and experiments for AI/ML systems; you know how to tell whether a change actually made an agent better. - Strong software engineering skills, with a track record of taking ideas from research prototype to measurable production impact. - You have maximum agency and strong research judgment: you can identify high-impact problems, work through ambiguity, move quickly, and communicate your findings clearly. NICE TO HAVE: - Ph.D. in Machine Learning, Computer Science or Physics. - Hands on experience with LLM-as-a-judge, automated graders, synthetic data generation, or human evaluation. - Hands on experience with reinforcement learning, preference optimization, SFT, RLHF/RLAIF, or other post-training techniques for LLMs. - Experience optimizing LLM agents for cost, latency, or task efficiency on productions - Experience with model serving, inference optimization, distributed systems, or GPU infrastructure. COMPENSATION & BENEFITS We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Senior Staff Machine Learning Engineer, Feed Relev...
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Senior Machine Learning Manager, Video Ranking
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Senior Data Scientist - Consumer
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Senior Data Scientist, Ads
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Staff Machine Learning Infrastructure Engineer, Em...
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Senior Machine Learning Infrastructure Engineer, E...
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
ML Engineer, Foundation Model Recipes
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S.
Software Engineer - AI Enablement
Scale GP is Scale's enterprise Generative AI platform—APIs and infrastructure for knowledge retrieval, inference, evaluation, and intelligent automation. We power mission-critical workflows for leading enterprises, helping teams turn complex data and models into reliable, production-ready AI systems. We're building a new AI Enablement team to create the next generation of agent-powered tools that ground AI in real operational workflows. Our goal: help internal teams demystify their own workflows, then deploy agentic systems that reason over data, take action, and deliver measurable outcomes.
Senior Machine Learning Systems Engineer, Ads ML E...
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence Team Overview We are building the next generation of ML research tools and agentic AI platforms that power machine learning development across Reddit. Our mission is to accelerate the Ads ML lifecycle – from experimentation and training to deployment, evaluation, and autonomous operations – through scalable platform services, intelligen...
Software Engineer, LLM Infrastructure
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through...
Staff Machine Learning Engineer, CustomerLake (ML/...
Build ML and LLM systems for Databricks CustomerLake, combining production machine learning engineering with enterprise data and model operations. Location: New York City, New York. Remote signal: unspecified_on_source. Freshness basis: jobsinai_listing_date_first_party_page_did_not_expose_publish_timestamp. Canonical apply URL: https://databricks.com/company/careers/open-positions/job?gh_jid=8614863002&utm_source=jobsinai&utm_medium=referral&utm_campaign=job_listing.
Staff Research Engineer, Data Agents
Research and ship agentic data systems at Databricks, focusing on next-generation enterprise AI workflows that connect models to structured data. Location: San Francisco, California. Remote signal: unspecified_on_source. Freshness basis: jobsinai_listing_date_first_party_page_did_not_expose_publish_timestamp. Canonical apply URL: https://databricks.com/company/careers/open-positions/job?gh_jid=8604954002&utm_source=jobsinai&utm_medium=referral&utm_campaign=job_listing.
Year at Palantir - Software Engineer, Internship
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. Palantir Year We've had surging demand from undergrads who want to get into the arena faster. You've told us you can't sit in lectures while the biggest story of our lifetime is written around you. It's clearer every day, it's being written faster than ever. If that's your spirit, you'll feel right at home here. Come join us for a year. Do real, critical work with the engineers and customers building the future. Many of our interns find they want to stay - perhaps you will too. The Role Build software and deliver customer outcomes. You'll work on real problems: helping customers deploy AI-powered solutions, building the software platforms of the future, and transforming how organizations operate. You'll be held to the same performance standards as any Palantir engineer, and your career progression will be based purely on merit and impact. Every incentive we have points toward putting our best people in the highest-leverage positions, as fast as possible. You’ll have the rare opportunity to gain deep insight into and directly influence some of the world’s most critical industries and institutions. By building on Palantir’s powerful platforms leveraging integrated cutting-edge AI, you’ll help organizations unlock the full potential of their data to make smarter, faster decisions. Core Responsibilities You have two internship role options. Forward Deployed Software Engineer: At Palantir, the Forward Deployed Software Engineer (FDSE) role isn’t just a job title: it’s the blueprint. We pioneered this unique position, embedding talented engineers directly with our customers to tackle their most pressing challenges head-on. As an FDSE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. FDSEs work side by side with our customers, rapidly understanding their toughest issues; architecting and building solutions that leverage business-critical data and the latest advancements in AI to solve them. Whether it’s “How do we predict and mitigate wildfire risks to optimize power grids?” or “How can we analyze and adapt a global food supply chain to deliver life-saving aid on time?”, you’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. As an FDSE Intern, you’ll experience the autonomy of a startup, with the resources, mentorship, and stability of an established tech company. FDSE Interns are treated as full members of the engineering team, entrusted with significant freedom and ownership over meaningful projects. Your contributions will have a direct impact on our customers’ missions and the real world. You’ll work in small, agile teams and own the end-to-end execution and implementation of high-stakes projects. Software Engineer: Software Engineers at Palantir build software at scale to transform how organizations around the world use data. As a Software Engineer Intern, you’ll have an opportunity to grow more quickly than you ever envisioned, as you contribute high-quality code directly to Palantir Gotham, Palantir Foundry, or Palantir Apollo: products that are deployed at some of the most important institutions across the public and private sectors. You'll create features used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters, in countries around the world. Palantir's Product Development organization is made up of small teams of Software Engineers, each focusing on a specific aspect of a product. For example, you might join a team that builds a Foundry front-end application, or a component of the Gotham release infrastructure. We encourage communication and collaboration among teams to share context, skills, and experience, so you'll learn about many different aspects of each product. What We Value Exceptional students who are willing to do work that matters. We care about how you think and what you can build, not just your resume. - Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools - For USG: An active U.S. security clearance, or eligibility and willingness to obtain one, is required - For all other roles: An active U.S. security clearance, or eligibility and willingness to obtain one, is a plus but not required Note this opportunity is open to freshmen and sophomores, as well as juniors and seniors in college. What We Require - Pursuing or received a degree in Engineering, preferably in Computer Science, Mathematics, Software Engineering, Physics, or Data Science - Proficiency with one or more programming languages, such as Python, Java, C++, TypeScript/JavaScript, or similar - Hands-on experience applying AI (whether through coursework, personal projects, internships, or relevant extracurricular activities) Salary The salary range for this position is estimated to be $5,900 - $10,500/month. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any benefits offered; and the potential future value of any long-term incentives. Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you've been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3) . If you would like to understand more about how your personal data will be processed by Palantir, please see our Privacy Policy .
Year at Palantir - Forward Deployed Software Engin...
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. Palantir Year We've had surging demand from undergrads who want to get into the arena faster. You've told us you can't sit in lectures while the biggest story of our lifetime is written around you. It's clearer every day, it's being written faster than ever. If that's your spirit, you'll feel right at home here. Come join us for a year. Do real, critical work with the engineers and customers building the future. Many of our interns find they want to stay - perhaps you will too. The Role Build software and deliver customer outcomes. You'll work on real problems: helping customers deploy AI-powered solutions, building the software platforms of the future, and transforming how organizations operate. You'll be held to the same performance standards as any Palantir engineer, and your career progression will be based purely on merit and impact. Every incentive we have points toward putting our best people in the highest-leverage positions, as fast as possible. You’ll have the rare opportunity to gain deep insight into and directly influence some of the world’s most critical industries and institutions. By building on Palantir’s powerful platforms leveraging integrated cutting-edge AI, you’ll help organizations unlock the full potential of their data to make smarter, faster decisions. Core Responsibilities You have two internship role options. Forward Deployed Software Engineer: At Palantir, the Forward Deployed Software Engineer (FDSE) role isn’t just a job title: it’s the blueprint. We pioneered this unique position, embedding talented engineers directly with our customers to tackle their most pressing challenges head-on. As an FDSE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. FDSEs work side by side with our customers, rapidly understanding their toughest issues; architecting and building solutions that leverage business-critical data and the latest advancements in AI to solve them. Whether it’s “How do we predict and mitigate wildfire risks to optimize power grids?” or “How can we analyze and adapt a global food supply chain to deliver life-saving aid on time?”, you’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. As an FDSE Intern, you’ll experience the autonomy of a startup, with the resources, mentorship, and stability of an established tech company. FDSE Interns are treated as full members of the engineering team, entrusted with significant freedom and ownership over meaningful projects. Your contributions will have a direct impact on our customers’ missions and the real world. You’ll work in small, agile teams and own the end-to-end execution and implementation of high-stakes projects. Software Engineer: Software Engineers at Palantir build software at scale to transform how organizations around the world use data. As a Software Engineer Intern, you’ll have an opportunity to grow more quickly than you ever envisioned, as you contribute high-quality code directly to Palantir Gotham, Palantir Foundry, or Palantir Apollo: products that are deployed at some of the most important institutions across the public and private sectors. You'll create features used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters, in countries around the world. Palantir's Product Development organization is made up of small teams of Software Engineers, each focusing on a specific aspect of a product. For example, you might join a team that builds a Foundry front-end application, or a component of the Gotham release infrastructure. We encourage communication and collaboration among teams to share context, skills, and experience, so you'll learn about many different aspects of each product. What We Value Exceptional students who are willing to do work that matters. We care about how you think and what you can build, not just your resume. - Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools - For USG: An active U.S. security clearance, or eligibility and willingness to obtain one, is required - For all other roles: An active U.S. security clearance, or eligibility and willingness to obtain one, is a plus but not required Note this opportunity is open to freshmen and sophomores, as well as juniors and seniors in college. What We Require - Pursuing or received a degree in Engineering, preferably in Computer Science, Mathematics, Software Engineering, Physics, or Data Science - Proficiency with one or more programming languages, such as Python, Java, C++, TypeScript/JavaScript, or similar - Hands-on experience applying AI (whether through coursework, personal projects, internships, or relevant extracurricular activities) Salary The salary range for this position is estimated to be $5,900 - $10,500/month. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any benefits offered; and the potential future value of any long-term incentives. Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you've been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3) . If you would like to understand more about how your personal data will be processed by Palantir, please see our Privacy Policy .
Year at Palantir - Forward Deployed Software Engin...
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. Palantir Year We've had surging demand from undergrads who want to get into the arena faster. You've told us you can't sit in lectures while the biggest story of our lifetime is written around you. It's clearer every day, it's being written faster than ever. If that's your spirit, you'll feel right at home here. Come join us for a year. Do real, critical work with the engineers and customers building the future. Many of our interns find they want to stay - perhaps you will too. The Role Build software and deliver customer outcomes. You'll work on real problems: helping customers deploy AI-powered solutions, building the software platforms of the future, and transforming how organizations operate. You'll be held to the same performance standards as any Palantir engineer, and your career progression will be based purely on merit and impact. Every incentive we have points toward putting our best people in the highest-leverage positions, as fast as possible. You’ll have the rare opportunity to gain deep insight into and directly influence some of the world’s most critical industries and institutions. By building on Palantir’s powerful platforms leveraging integrated cutting-edge AI, you’ll help organizations unlock the full potential of their data to make smarter, faster decisions. Core Responsibilities You have two internship role options. Forward Deployed Software Engineer: At Palantir, the Forward Deployed Software Engineer (FDSE) role isn’t just a job title: it’s the blueprint. We pioneered this unique position, embedding talented engineers directly with our customers to tackle their most pressing challenges head-on. As an FDSE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. FDSEs work side by side with our customers, rapidly understanding their toughest issues; architecting and building solutions that leverage business-critical data and the latest advancements in AI to solve them. Whether it’s “How do we predict and mitigate wildfire risks to optimize power grids?” or “How can we analyze and adapt a global food supply chain to deliver life-saving aid on time?”, you’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. As an FDSE Intern, you’ll experience the autonomy of a startup, with the resources, mentorship, and stability of an established tech company. FDSE Interns are treated as full members of the engineering team, entrusted with significant freedom and ownership over meaningful projects. Your contributions will have a direct impact on our customers’ missions and the real world. You’ll work in small, agile teams and own the end-to-end execution and implementation of high-stakes projects. Software Engineer: Software Engineers at Palantir build software at scale to transform how organizations around the world use data. As a Software Engineer Intern, you’ll have an opportunity to grow more quickly than you ever envisioned, as you contribute high-quality code directly to Palantir Gotham, Palantir Foundry, or Palantir Apollo: products that are deployed at some of the most important institutions across the public and private sectors. You'll create features used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters, in countries around the world. Palantir's Product Development organization is made up of small teams of Software Engineers, each focusing on a specific aspect of a product. For example, you might join a team that builds a Foundry front-end application, or a component of the Gotham release infrastructure. We encourage communication and collaboration among teams to share context, skills, and experience, so you'll learn about many different aspects of each product. What We Value Exceptional students who are willing to do work that matters. We care about how you think and what you can build, not just your resume. - Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools - For USG: An active U.S. security clearance, or eligibility and willingness to obtain one, is required - For all other roles: An active U.S. security clearance, or eligibility and willingness to obtain one, is a plus but not required Note this opportunity is open to freshmen and sophomores, as well as juniors and seniors in college. What We Require - Pursuing or received a degree in Engineering, preferably in Computer Science, Mathematics, Software Engineering, Physics, or Data Science - Proficiency with one or more programming languages, such as Python, Java, C++, TypeScript/JavaScript, or similar - Hands-on experience applying AI (whether through coursework, personal projects, internships, or relevant extracurricular activities) Salary The salary range for this position is estimated to be $5,900 - $10,500/month. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any benefits offered; and the potential future value of any long-term incentives. Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you've been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3) . If you would like to understand more about how your personal data will be processed by Palantir, please see our Privacy Policy .
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