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Finance Fellow - Human Frontier Collective (UK)
PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do - Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Develop and evaluate complex financial scenarios to test and enhance AI accuracy in valuation, forecasting, and analysis; collaborate in interactive sessions to assess model outputs for market relevance and compliance; provide detailed feedback to improve AI capabilities; and contribute to specialized projects in financial modeling, risk assessment, and equity research. - HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. - Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). Who Should Apply - Education: PhD, Master, BBA in Finance, Economics, or related degrees. - Certifications: CFA or CPA strongly preferred. - Professional Background: 5+ years in FP&A, Investment Banking, Portfolio Management, Financial Consulting, or equivalent research experience. - Skills: Strong proficiency in financial modeling, valuation methodologies, forecasting, asset pricing, DCF analysis, market analysis, and risk assessment. - Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus. Why Join the HFC? - Advance Finance AI Solutions: Apply your financial expertise to solve complex, real-world challenges where your judgment shapes advanced AI reasoning and decision-making. - Professional Development: High-impact finance experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening analytical and financial skills, and gaining hands-on experience with cutting-edge AI applications. - Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. - Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. - Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location. Application Process - Apply: We review applications on a rolling basis. - Complete a Challenge: Selected candidates will undertake a brief task designed to reflect HFC work and evaluate their domain expertise. - Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI. - Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship. 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.
Field Marketing & Events Lead, Public Sector
At Scale, we believe that AI will dramatically improve the world, and our mission is to accelerate the development of AI. As Scale continues to build and develop its field marketing and event program within the public sector space, we are looking for an Events & Field Marketing Manager to support our U.S. Federal Government team in their event and field marketing initiatives including but not limited to third-party trade show sponsorships, Scale hosted executive events, Scale hosted practitioner events and meetups, and our annual flagship AI Leadership Summit. This role will also work closely with our commercial business units and enterprise customers. You will join a rapidly growing team with the opportunity to manage and execute events from start to finish, drive lead generation and pipeline growth, and plan event programming with the largest names in AI. The successful candidate will have a solid understanding of the U.S. Federal Government markets, strong project management skills, a strategic mindset, and a passion for public sector work. You will: - Execute all planning and logistics for all federal executive dinners, meetups, happy hours, and sponsored trade shows - Establish event activities in line with sales goals and deal acceleration, prioritizing goals from the Federal team leadership and Business Development team on event location and audience - Manage contractor relationships including event production firms and outside vendors, and event budgets - Align with growth marketing on marketing campaigns and marketing qualified lead (MQL) reporting - Track event campaign performance, measuring ROI, results, and metrics through Salesforce - Own all aspects of Scale’s annual hosted federal conferences - Support the AI Governance and Policy portion of Scale’s annual AI Leadership Summit, including content, speaker logistics, agenda, and overall in-person and remote event experience - Support Scale’s annual presence at the World Economic Forum in Davos, Switzerland - Interface with external executives and their teams in order to secure speakers and support their presentation planning for Scale hosted events and conferences - Willingness to travel up to 50% Ideally you’d have: - Minimum 8+ years experience in event marketing or event management with Federal marketing - Experience managing large scale events, end to end - Ability to manage and multi-task on multiple projects and events while liaising across internal teams with multiple stakeholders - Impeccable attention to detail and proactive approach to troubleshooting - Excellent written and verbal communication skills - you will be interfacing with the world’s leading executives and their teams Nice to have: - Experience with Hubspot, Salesforce, and Outreach - Collaborative and positive attitude, with ability to work across teams including with executive leadership and external executives - Community experience a plus 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: $142,400 - $178,000 USD 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 Washington DC, Texas, Colorado, Hawaii is: $158,400 - $198,000 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.
Director and Associate General Counsel, Compliance
Scale seeks a business-minded Director and Associate General Counsel, Compliance to lead Scale’s corporate compliance program. This role will set the legal standards, governance model, and escalation framework for the program, working closely with cross-functional partners to translate that guidance into practical workflows. This is a high-impact role for a lawyer who combines strong legal judgment with practical program execution in a fast-moving, high-visibility business. This role reports into our Senior Director and Associate General Counsel, Federal and Compliance. You Will: - Advise on anti-bribery and anti-corruption, conflicts of interest, gifts and entertainment, third-party risk, and other sensitive corporate compliance matters. - Lead or support privileged compliance investigations, remediation, and escalations, coordinating across Legal and with outside counsel where matters involve potential litigation or enforcement risk. - Develop practical compliance policies, workflows, training, and reporting processes that support Scale’s growth and IPO-readiness. - Mature Scale’s Enterprise Risk Management process, including risk assessment methodology, risk register governance, mitigation tracking, and leadership reporting. - Set legal standards for compliance operations, including hotline triage, sensitive matter review, policy governance, training requirements, and remediation escalation. - Partner across Legal, GRC, Security, Product, Engineering, Finance, People, Public Sector, and other business teams on compliance and IPO-readiness. - Represent Scale’s corporate compliance function with internal and external stakeholders, including customers, auditors, partners, and regulators. Ideally, you’d have: - JD and active bar membership in at least one U.S. jurisdiction. - 10+ years of legal experience across corporate compliance, investigations, regulatory counseling, GRC, internal controls, or related areas. - Experience building or scaling compliance programs in high-growth technology or similarly complex environments. - Strong experience with anti-bribery and anti-corruption, conflicts of interest, third-party risk, hotline governance, and privileged investigations. - Experience maturing ERM, policy governance, training, remediation tracking, risk reporting, and IPO-readiness or public-company compliance. - Strong judgment and communication skills, with the ability to work effectively across legal, technical, operational, and executive stakeholders. Nice to haves: - Experience with AI governance or regulation. - Familiarity with government contractor compliance, export controls, or industrial security. - Experience with multinational compliance programs, including Europe, the Middle East, Asia, and Latin America. 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: $302,400 - $378,000 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.
AI Upskilling Lead
About Scale AI At Scale AI, we enable governments to adopt AI with confidence. Our mission is not just to deploy the technology, but to ensure it is trusted, understood, and used. We are building a discipline that integrates enablement, change management, and AI fluency to support national transformation efforts. The Role We are looking for a senior individual contributor to own and scale the learning system that drives GenAI adoption across public sector audiences. This is a builder's role with three mandates: design the learning and define the course portfolio, run the platform that delivers it at national scale, and represent Scale's learning capability in the regional AI conversation. The throughline is adoption. The catalog you build is not generic literacy. It is purpose-built to move government teams onto Scale's deployed use cases, which makes this role the link between building national AI talent and driving the adoption that talent enables. This role sits at the top of the adoption funnel. The credibility you build, in the room and in public, is what opens the door to deeper engagements. Key Responsibilities Own the learning system - Lead LMS strategy, selection, and rollout, including certification and badging, as the scalable backbone for national delivery. - Define and own the course catalog: the portfolio of programs and courses that builds AI fluency and, by design, drives adoption of Scale's use cases. Make it discoverable so it actively pulls teams toward the capabilities it supports. - Design and launch flagship programs, starting with expanding our foundational AI literacy course, built modular so they extend across audiences and markets. - Build the measurement layer that ties learning to adoption outcomes, not just completion counts. Scale across geographies - Adapt programs across markets with localization as a design principle, not an afterthought: language, institutional context, and cultural norms handled at the build stage. - Stand up repeatable delivery frameworks so programs can scale without rebuilding from scratch in each market. - Partner with delivery vendors and national training bodies where local routing requires it. Teach and represent - Deliver high-stakes workshops and briefings to public sector audiences across all levels, from working teams to senior leadership. - Translate technical GenAI concepts into formats that land for non-technical audiences, drawing on a genuine technical background rather than borrowed scripts. - Work with marketing and events to plan speaker series, sessions, and public-facing moments that build Scale's standing in the regional AI-learning conversation. Who You Are - 8+ years in learning and development, instructional design, or enablement, with demonstrated ownership of a learning function, platform, or program at scale. Public sector or government experience is strongly preferred. - Hands-on LMS leadership: you have selected, stood up, or scaled a platform, not just authored content on one. - A technical foundation in GenAI: you can teach the concepts directly and adjust depth to the audience in front of you. - Track record scaling learning across geographies, with localization handled deliberately rather than bolted on. - You think about learning as a driver of adoption, not an end in itself, and design programs to move people toward using what they have learned. - Strong facilitation and presence: confident in front of senior government stakeholders and large mixed audiences. Arabic and English delivery strongly preferred. - A genuine learning enthusiast who pays attention to where the field is heading. Nice to have: an active presence creating AI-learning content on LinkedIn, YouTube, or similar. We read this as a signal that you understand micro-learning and social-native delivery, not as a personal-brand requirement. - Comfortable in fast-paced, ambiguous environments with a strong sense of ownership. Early Success Looks Like First 6 months - LMS strategy decided and the foundational program live, with certification or badging in place. - Course catalog defined, with the first programs mapped to live use cases. - Two audience tracks delivered, with satisfaction and early adoption signals captured. - At least one public-facing moment (speaker session, event, or series) delivered with marketing and events. By 12 months - A functioning LMS ecosystem delivering across more than one market, with localization proven, not promised. - A course catalog actively driving adoption of Scale's use cases, with measurable pull-through. - Public sector partners recognize Scale's learning work as credible and effective. - A repeatable enablement framework embedded in key engagements, with a measurement layer that connects learning to adoption. 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.
[Annotations] Operations Program Manager
Scale AI sits at the forefront of enabling machine learning for advanced robotics systems. As an Operations Program Manager focused on data creation for robotics models, you will design and execute the solutions, tools, and processes that power high-quality training data at scale. You’ll ensure precise, timely delivery of datasets that drive perception, manipulation, and autonomous decision-making in robotic platforms. With rapid growth, new customer onboarding, and continual product innovation, we face both strategic questions and hands-on operational challenges—your contributions will be key to solving them. You will be part of a highly motivated team of operators and collaborators who will ensure steady delivery and customer satisfaction. You are relentless in driving stellar results, running pilots, tests, and experiments, then handing over new designs to a team of skilled operators. The blend of operations, process improvement, and cross-functional leadership make this a unique and exciting role that will provide an opportunity to work with multiple teams (e.g., Engineering, Marketing, Operations, Analytics, and several others) across the company and around the globe. You will: - Drive some of our most critical operational processes - Improve existing processes and tools globally - Collaborate with stakeholders to improve processes for new and existing customers - Create an effective feedback loop between the frontline, product, strategy, and customers - Build, maintain, and regularly communicate detailed reporting for other leaders across the company who will use your team's data to inform their own operations and strategy Ideally you'd have: - Industry experience in supply chain, finance planning, in an operational role and/or in a top tier consulting firm - An undergraduate degree from a top university in an analytics heavy major (e.g., Engineering or Economics) and/or a graduate degree from a top university in Engineering, Economics, or Business - Experience leading day to day activities and improving processes - An action oriented mindset that balances creative problem solving with the desire to run through walls to deliver outcomes - Analytical, planning, and process improvement capability Nice to haves: - Experience with reading SQL and/or another database language - Experience with Python and/or Mode Notepad scripting 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.
Vice President, Head of Strategy & Operations
Your work will change lives. Including your own. Please note: Our offices will be closed for our annual Summer Break from Monday, June 29, 2026, through Friday, July 3, 2026. Our response to your application will be delayed. The Impact You'll Make Recursion is reimagining drug discovery through the integration of automated cell biology, high-dimensional data, and AI-driven analytics. As Head of Strategy & Operations, you will be our CEO's closest strategic partner — a trusted right hand who combines the analytical rigor of a top-tier management consultant with the operational instincts of a seasoned biopharma executive. This is a rare role: you will shape where Recursion is going (corporate strategy, competitive positioning, board and investor narrative) while ensuring the company's leadership engine runs with precision (executive decision-making, cross-functional alignment, regulatory filings, and governance). You will serve as a force multiplier for our CEO, translating ambition into executable strategy and holding the organization accountable to its commitments. The ideal candidate brings principal- or partner-level consulting experience, deep biopharma strategy expertise, and a genuine appreciation for how AI platforms are transforming drug discovery. You are as comfortable shaping a board deck as you are redesigning an operating rhythm — and you thrive at the intersection of science, technology, and enterprise leadership. What You'll Do Corporate Strategy & Competitive Intelligence - Own corporate strategy in partnership with our CEO - translating vision into annual priorities, resource allocation, and multi-year roadmaps. - Monitor the external landscape (competitive dynamics, scientific advances, regulatory shifts, AI-in-biotech) and synthesize implications for leadership. - Define and communicate Recursion's platform differentiation to support investor, partner, and board narratives. - Evaluate BD opportunities - partnerships, licensing, acquisitions, and platform expansions - with rigorous analytical framing. Executive Operations & Decision-Making - Design and manage the executive operating rhythm: leadership meetings, offsites, decision forums, and escalation frameworks. - Partner with our CEO on agendas, briefing materials, and cross-functional follow-through. - Build dashboards and frameworks that give leadership real-time visibility into performance, program progress, and strategic KPIs. - Identify organizational gaps and implement scalable solutions; act as CEO proxy in cross-functional forums. Board, Investor & External Communications - Lead board materials - strategic updates, financial reviews, program readouts, and governance docs. - Support earnings communications, SEC filings, and investor presentations in partnership with Finance, Legal, and IR. - Ensure narrative consistency and strategic alignment across all high-stakes external communications. Cross-Functional Leadership & Alignment - Bridge Platform, Discovery, Clinical, Commercial, Finance, and People teams to maintain strategic coherence. - Partner with Director of Strategy & Operations and Portfolio Strategy to align program execution with corporate priorities. - Champion clarity, accountability, and disciplined execution across the organization. The Team You'll Join You will sit at the apex of Recursion's Strategy & Operations function, working as a direct partner to our CEO. You will lead and mentor the Strategy & Operations team and will have deep working relationships across the entire executive leadership team. This is a high-visibility, high-impact role at the center of Recursion's mission. You will be a key voice in defining the company's future while ensuring the organization operates with the focus and discipline required to deliver it. The role demands someone who is equally comfortable in the boardroom, the data room, and the operations room. The Experience You'll Need - Advanced degree required; MBA from a top-tier program strongly preferred. Life sciences, data science, or related scientific background is a significant advantage. - 6+ years at a leading management consulting firm at the Principal, Associate Partner, or Partner level, with deep exposure to biopharma, biotech, or healthcare clients. - Significant in-house experience in strategy, corporate development, or operations within a pharma or biotech company. - Strong familiarity with AI platforms, machine learning applications, or digital health tools — and genuine curiosity about their role in transforming drug discovery and development. - Proven track record shaping executive-level strategy, leading complex cross-functional initiatives, and influencing without direct authority. - Experience preparing and presenting board materials, earnings communications, investor presentations, or regulatory filings. - Exceptional analytical, communication, and storytelling skills — able to distill complexity into clear, compelling narratives for diverse audiences. - High EQ and political acumen; skilled at navigating ambiguity, managing competing priorities, and building trust across all levels of an organization. - Adaptability and resourcefulness; thrives in a fast-moving, high-growth environment where roles evolve and ambiguity is the norm. Working Location & Compensation: This is an office-based, hybrid position at our offices located in New York City, New York . Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: $321,860–$385,990 . In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-DNI The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Associate Principal Computational Biologist, Neuro...
Your work will change lives. Including your own. Please note: Our offices will be closed for our annual Summer Break from Monday, June 29, 2026, through Friday, July 3, 2026. Our response to your application will be delayed. The Impact You’ll Make As a key member of Recursion's partnership-facing data science team, you will be at the forefront of reimagining drug discovery from first principles using Recursion’s massive data and compute capabilities. As senior computational biologist, you will be supporting a portfolio of partnership preclinical drug programs and be responsible for designing and executing analyses to support target nomination, validation, and early programs in neuroscience diseases. You will integrate layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc) to validate the link between target and disease biology and to propose targets and early programs in novel areas of neuroscience. You will partner with biologists and medicinal chemists to build supporting data packets for targets from our phenomic maps, target screens, and partnered patient data sets. You will also collaborate with computational scientists from across the organization to develop, deploy, and scale novel approaches to: 1) translational validation in hit to lead, 2) mechanism-of-action identification/de-risking, and 3) build evidence for patient connectivity to match the targets we are validating and medicines we are creating to the patients who need them. In this role, you will: - Deliver biological insights on therapeutic candidates and disease biology from the analysis of high-dimensional (phenomics, transcriptomics, proteomics, patient-derived) datasets that support clinical development planning - Evaluate the biological and molecular evidence for therapeutic hypotheses and accelerate drug program progression into the clinic - Synthesize diverse datasets (internal and external) to generate and evaluate hypotheses for drug discovery, biomarker development, mechanism of action and target population identification - Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients - Assess new data sources, develop and scale new analysis methods, and support key program decisions with the ultimate goal of bringing life-changing therapies to patients at unprecedented speed - Industrialize analysis approaches to not only solve for the current project, but also to accelerate future projects and scale the impact that we can have - Collaborate cross-functionally with Recursion’s data science, biology, medicinal chemistry, and platform, teams to further advance Recursion’s ability to interpret and translate large-scale data assets into therapeutic programs The Team You’ll Join Our group is a bold, agile, diverse collective of computational drug discovery scientists and data scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. We are a computational group that spans precision oncology, neuroscience, and I&I (immunology and inflammation), and focuses on advancing novel, targeted therapies for these disease areas. We partner closely with our biologists and medicinal chemists to design and execute impactful and decisional data analysis for multiple programs. We are responsible for data strategy across the portfolio and supported by computational leadership in designing scalable and reproducible experiments that serve to advance multiple programs within the portfolio. Our team collaborates extensively with computational biologists in other therapeutic areas (immunology, oncology, etc.) as well as data scientists and engineers from our core platform teams to provide a strong network of feedback and support. The Experience You’ll Need - PhD in a relevant field (computational biology, systems biology, bioinformatics, neuroscience, etc.) with a very strong computational focus and 5+ years of experience in biotech or pharma industry OR MS in a relevant field - Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate matched human clinical and molecular data in a high-level programming language such as Python or R - Deep expertise in the analysis and data integration of one or more ‘omics data modalities (phenomics, transcriptomics, proteomics, genomics) and/or human clinical data - Exceptional data visualization skills - Excellent cross-functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations Nice To Have: - Strong understanding of patient genetics and historical druggability of disease-relevant pathways, including experience working with patient data - Experience in efficiently advancing drug programs from proof of concept and into clinical development - Experience with neuroscience clinical trial biomarker analysis - Experience working as part of partnerships or client facing (consulting) teams Working Location & Compensation: This is an office-based, hybrid role in either our Salt Lake City or New York City offices. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: - New York City, Boston, & San Francisco Bay Area(s): $220,600–$242,550 - Salt Lake City & all other U.S. locations: $200,600–$220,500 In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-EP1 The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Member of Technical Staff (Software Engineer, Conn...
ABOUT THE ROLE The Connector Platform team builds the data layer that lets Perplexity's agents reach into the world's software. This team owns the systems that turn hundreds of heterogeneous integrations (native, MCP, CLI, first-party, and third-party APIs) into one unified, reliable, well-typed surface that agents can call with confidence. The connector platform is the core layer that forms the knowledge layer for Computer: it is how the agent discovers what tools exist, understands what each one means, decides which to call, and grounds its reasoning in real, permissioned, up-to-date enterprise data. We maintain a knowledge layer above connectors that pushes and pulls context into them, rather than letting each connector hoard org knowledge on its own, making Computer the source of truth for institutional knowledge. Models are commoditizing; grounded, actionable, permissioned access to a customer's real systems is not. When this layer is fast, accurate, and semantically rich, every agent built on top of it gets smarter; when it is weak, no amount of model quality compensates. KEY RESPONSIBILITIES - Own the design and implementation of the connector runtime, the system that registers, hosts, and executes built-in connectors, hosted MCP servers, and CLI-backed tools behind a single agent-facing interface. - Build and extend the semantic layer: tool and entity schemas, capability metadata, relationship modeling, and the mechanisms for capturing and applying organization- and account-specific corrections and knowledge. - Design the tool-discovery and tool-selection surfaces that agents use to find the right connector and call it correctly, optimizing for both model accuracy and context efficiency. - Make agent loops robust: structured results, partial-failure and retry semantics, idempotency, pagination, rate-limit handling, and observability into every tool call an agent makes. - Define authentication, authorization, and credential-isolation patterns for connectors (OAuth flows, BYOK, per-org credential boundaries), partnering with Security and Backend Platform on defense-in-depth. - Build the connector onboarding path (schemas, fixtures, and evaluation suites) so new connectors ship with measurable quality rather than hope, and drive the eval metrics that tell us a connector actually works inside agent loops. - Set the technical bar for connector reliability and operability: SLAs, observability, error-rate monitoring, and incident response for an always-on, high-fan-out integration surface. - Partner with product and AI teams to define clear connector interfaces and integration patterns so new agent capabilities can reliably build on the shared platform. QUALIFICATIONS - Experience designing and building backend systems that run in production (typically 4+ years for mid-level, more for senior and staff). - Strong system design skills, with a track record of building efficient, reliable, and scalable architectures, ideally including API integration, gateway, or platform-style systems with many heterogeneous downstreams. - Strong proficiency in at least one backend language such as Python, Go, or Rust, and the ability to work effectively in a multi-language environment. - Hands-on experience with modern infrastructure (for example AWS, Kubernetes, and related cloud technologies). - Depth in at least one of: OAuth and authorization protocols, API/connector or MCP-server development, schema and semantic modeling, or building tooling and evaluation for LLM-based agents. - Comfort working in security-sensitive areas (auth, authorization, credential isolation) and making pragmatic trade-offs between safety, simplicity, and velocity. - Collaborative mindset and eagerness to solve hard, ambiguous problems alongside other experienced engineers. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
Member of Technical Staff (Software Engineer, Comp...
By applying to this role, you will be considered for engineering roles across all teams at Perplexity. WE ARE HIRING BUILDERS TO JOIN OUR HIGHLY LEVERAGED ENGINEERING TEAM FOR CREATING NEW PRODUCTS THAT INNOVATE AND ACCELERATE HUMAN PRODUCTIVITY In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. As an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between product, infrastructure and frontier level advancements in technology. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own product and platform systems for Computer - Lead features, projects and products end-to-end, from problem definition to technical design, implementation, and launch. - Hill climb on hard problems, continuously iterating to improve for ourselves and customers. - Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams. - Build systems that take into account the nuances of AI, working with agents, context, evaluation, personalization and the ground truth. QUALIFICATIONS - 4+ years of professional software engineering experience. - Strong experience in at least one general-purpose programming language such as Python, Go, TypeScript, JavaScript, Swift, Rust, Java, or C++. - Experience building and operating production systems at a meaningful scale. - Strong product judgment and the ability to translate user problems into simple, effective technical solutions. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Experience with LLMs, agents, retrieval systems, personalization, or evaluation frameworks. - Time spent at a fast-growing startup or on a high-ownership engineering team. - Founded a company or initiative. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.
Member of Technical Staff (Offensive Security Engi...
Perplexity is seeking a highly skilled, experienced and hands-on Offensive Security Engineer to join our dynamic security team, taking an adversarial approach to hardening Perplexity's infrastructure, applications, and AI systems. You'll plan and execute red team operations, penetration tests, and attack simulations across our cloud infrastructure, web and mobile applications, AI/ML pipeline, and corporate environment—finding real vulnerabilities before adversaries do and working directly with engineering teams to drive remediation. Responsibilities - Plan and execute red team and purple team engagements simulating advanced threat actors across cloud infrastructure (AWS, Kubernetes), endpoints, and application surfaces - Conduct continuous penetration testing of web applications, APIs, mobile clients, browser extensions, cloud infrastructure, and internal services - Assess AI/ML-specific attack surfaces including prompt injection, model exfiltration, agent abuse, tool-use exploitation, and MCP security boundaries - Develop and maintain custom offensive tooling, exploits, and automation to improve the efficiency and coverage of security testing - Perform open-scope adversary simulations that test detection and response capabilities end to end, collaborating closely with the defensive security team - Drive threat modeling sessions with engineering teams to identify and prioritize attack vectors in new features and architectures - Deliver clear, actionable findings to both technical and executive audiences; partner with engineering to validate remediations - Contribute to the security of CI/CD pipelines, supply chain integrity, and secrets management through offensive assessment - Stay current on emerging attack techniques, vulnerability research, and adversary tradecraft; bring external perspective into Perplexity's security strategy Qualifications - 5+ years of hands-on experience in offensive security, red teaming, or penetration testing - Deep technical expertise in at least two of: cloud security (AWS/GCP/Azure), web/API application security, Kubernetes and container security, macOS/Linux endpoint security, network penetration testing, or CI/CD pipeline security - Track record of discovering impactful vulnerabilities or developing novel attack techniques in production environments - Strong programming and scripting skills in Python, Go, or similar languages; comfortable writing custom tooling and exploits - Experience with industry-standard offensive tools (Burp Suite, Cobalt Strike / Sliver / Mythic, Metasploit, BloodHound, nuclei, etc.) and ability to operate beyond them - Excellent written and verbal communication; able to translate complex technical findings into clear risk narratives - Experience assessing AI/ML systems, LLM applications, or agentic workflows for security vulnerabilities - Bonus: Published security research, conference talks (DEF CON, Black Hat, BSides), CVE credits, or meaningful bug bounty contributions
Member of Technical Staff (Machine Learning Engine...
Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. Responsibilities - Relentlessly push search quality forward—through models, data, tools, or any other leverage available - Architect and build core components of our search platform and model stack - Train and evaluate retrieval, ranking and classification models, including LLMs - Deploy models - from boosting to LLMs - in a scalable and performant way - Build and optimize RAG pipelines for grounding and answer generation - Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery Qualifications - Deep understanding of search and retrieval systems, including quality evaluation principles and metrics - Proven track record with large-scale search or recommender systems - Self-driven, with a strong sense of ownership and execution - Minimum of 5 years of working on search or recsys-related projects
Member of Technical Staff (Data Scientist)
Perplexity is AI for people who expect more. This role brings that same standard to how our data team works - with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer - the kind of person who knows which metric actually matters, who can design an A/B test that answers the real question, who's gone deep on a data model because something didn't add up - and who has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done. Not another text-to-SQL bot. Not another dashboard. You'll build AI agents that conduct full analyses autonomously - forming hypotheses, writing and running queries, interpreting results, and drafting recommendations. You'll make the entire data warehouse AI-readable so any system can query it accurately. You'll create self-healing pipelines that detect and fix data issues before anyone notices. You'll build the infrastructure that turns a small data team into one that operates at 10x its size. You'll join a data team that's already using AI across its workflows - but we know there's a much bigger opportunity ahead. We have buy-in from leadership to make it happen. Now we're building a team dedicated to taking what we've started and turning it into something world-class: scalable systems, new tools, and an AI-native way of working that doesn't just make us world-class - but pushes the entire industry forward. WHAT YOU'LL DO - Accelerate the AI-native data workflow - the team is already working this way. You'll take what's working and turn it into repeatable systems, scalable tools, and patterns that the data team and the entire company can adopt - Build AI agents that do data science - not just answer SQL questions, but conduct end-to-end analyses: explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations - Make the warehouse AI-readable - build the semantic layer, context, and retrieval infrastructure that lets any AI system (internal or product) query Perplexity's data accurately and reliably - Automate the data lifecycle - self-healing pipelines, automated dbt model generation and validation, data quality agents that detect, diagnose, and fix issues autonomously - Ship AI-powered experiment analysis - agents that interpret A/B test results, flag statistical issues, and draft ship/no-ship recommendations for product teams - Own the full lifecycle - from identifying the highest-leverage problem, to prototyping with LLMs, to iterating on accuracy and UX, to production deployment and monitoring - Turn the data team into a product team - build internal data products that stakeholders across the company actually use daily, replacing ad-hoc requests with self-serve AI interfaces WHAT WE'RE LOOKING FOR - 6-8+ years in data science, analytics engineering, or a related role - you've been in the data trenches - Strong product sense - you've worked closely with product and business teams, you understand what drives user behavior, and you have good instincts for what to measure and what to build - Deep SQL expertise - you think in SQL, you've built data models, you know your way around a warehouse - Pipeline experience - you've built and maintained data pipelines, worked with dbt, dealt with data quality issues firsthand - Enough software engineering chops to be dangerous - you can build and ship a working tool in Python, not just a notebook. You can wrangle APIs, deploy a service, write code that other people can maintain. You're not a SWE, but you're not afraid of production - Genuinely excited about AI - you've been building with LLMs on your own time. You have opinions about which models are good at what. You've tried building agents, RAG systems, or AI-powered workflows. You follow the space obsessively because you think it's going to change everything - including how data teams work - Builder mentality - you see a manual process and you can't help but automate it. You ship fast and iterate - Autonomy - this is a new function. You'll define the roadmap as much as execute it BONUS - Experience with dbt (building and maintaining production models) - Snowflake administration and optimization - You've built Slack bots, internal CLI tools, or developer productivity tools that people actually used - Background in AI agent frameworks - Experience with BI tools - you know what's worth automating because you've done the manual version - A/B testing and experimentation - you've designed experiments and analyzed results - Early-stage startup experience WHY THIS ROLE - Set the standard for the industry - the team is already using AI across its work. You'll be the one who turns that into something other data orgs look to as the benchmark - Recursive AI - Perplexity builds an AI answer engine for the world. You'll build one for the company. Few places offer this kind of alignment between the product and the work - Frontier models, day one - you're at an AI company with access to frontier infrastructure and people who deeply understand what's possible - Massive leverage - the systems you build will multiply the output of every data team member and every stakeholder who needs data - Direct impact - small team, no layers of approval. Idea to shipped system in days, not quarters
Member of Technical Staff (Analytics Engineer)
Perplexity is AI for people who expect more. This role brings that same standard to how our data team works - with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer - the kind of person who knows which metric actually matters, who can design an A/B test that answers the real question, who's gone deep on a data model because something didn't add up - and who has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done. Not another text-to-SQL bot. Not another dashboard. You'll build AI agents that conduct full analyses autonomously - forming hypotheses, writing and running queries, interpreting results, and drafting recommendations. You'll make the entire data warehouse AI-readable so any system can query it accurately. You'll create self-healing pipelines that detect and fix data issues before anyone notices. You'll build the infrastructure that turns a small data team into one that operates at 10x its size. You'll join a data team that's already using AI across its workflows - but we know there's a much bigger opportunity ahead. We have buy-in from leadership to make it happen. Now we're building a team dedicated to taking what we've started and turning it into something world-class: scalable systems, new tools, and an AI-native way of working that doesn't just make us world-class - but pushes the entire industry forward. WHAT YOU'LL DO - Accelerate the AI-native data workflow - the team is already working this way. You'll take what's working and turn it into repeatable systems, scalable tools, and patterns that the data team and the entire company can adopt - Build AI agents that do data science - not just answer SQL questions, but conduct end-to-end analyses: explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations - Make the warehouse AI-readable - build the semantic layer, context, and retrieval infrastructure that lets any AI system (internal or product) query Perplexity's data accurately and reliably - Automate the data lifecycle - self-healing pipelines, automated dbt model generation and validation, data quality agents that detect, diagnose, and fix issues autonomously - Ship AI-powered experiment analysis - agents that interpret A/B test results, flag statistical issues, and draft ship/no-ship recommendations for product teams - Own the full lifecycle - from identifying the highest-leverage problem, to prototyping with LLMs, to iterating on accuracy and UX, to production deployment and monitoring - Turn the data team into a product team - build internal data products that stakeholders across the company actually use daily, replacing ad-hoc requests with self-serve AI interfaces WHAT WE'RE LOOKING FOR - 6-8+ years in data science, analytics engineering, or a related role - you've been in the data trenches - Strong product sense - you've worked closely with product and business teams, you understand what drives user behavior, and you have good instincts for what to measure and what to build - Deep SQL expertise - you think in SQL, you've built data models, you know your way around a warehouse - Pipeline experience - you've built and maintained data pipelines, worked with dbt, dealt with data quality issues firsthand - Enough software engineering chops to be dangerous - you can build and ship a working tool in Python, not just a notebook. You can wrangle APIs, deploy a service, write code that other people can maintain. You're not a SWE, but you're not afraid of production - Genuinely excited about AI - you've been building with LLMs on your own time. You have opinions about which models are good at what. You've tried building agents, RAG systems, or AI-powered workflows. You follow the space obsessively because you think it's going to change everything - including how data teams work - Builder mentality - you see a manual process and you can't help but automate it. You ship fast and iterate - Autonomy - this is a new function. You'll define the roadmap as much as execute it BONUS - Experience with dbt (building and maintaining production models) - Snowflake administration and optimization - You've built Slack bots, internal CLI tools, or developer productivity tools that people actually used - Background in AI agent frameworks - Experience with BI tools - you know what's worth automating because you've done the manual version - A/B testing and experimentation - you've designed experiments and analyzed results - Early-stage startup experience WHY THIS ROLE - Set the standard for the industry - the team is already using AI across its work. You'll be the one who turns that into something other data orgs look to as the benchmark - Recursive AI - Perplexity builds an AI answer engine for the world. You'll build one for the company. Few places offer this kind of alignment between the product and the work - Frontier models, day one - you're at an AI company with access to frontier infrastructure and people who deeply understand what's possible - Massive leverage - the systems you build will multiply the output of every data team member and every stakeholder who needs data - Direct impact - small team, no layers of approval. Idea to shipped system in days, not quarters
Engineering Site Lead
Perplexity is revolutionizing how people discover and interact with information through AI-powered search and knowledge tools. As we expand our global footprint, we're establishing a strategic presence in London to drive innovation and growth across Europe. The Role: We're seeking an exceptional Site Lead to establish and scale our London office. This is a unique opportunity to shape Perplexity's presence in one of the world's leading tech hubs, building teams and culture from the ground up while driving technical excellence in infrastructure and AI systems. As Site Lead, you'll serve as the face of Perplexity in London, responsible for building our technical organization, fostering a world-class engineering culture, and directly managing one or more infrastructure teams. You'll report to senior leadership and work cross-functionally with teams across our global footprint. The individual in this role will manage teams in LON themselves while also facilitating. Responsibilities: Site Leadership & Culture - Establish and lead Perplexity's London office, setting the cultural foundation and operating principles - Build a collaborative, high-performance engineering culture that aligns with Perplexity's values while embracing the strengths of the London tech ecosystem - Serve as the primary point of contact for all London-based activities and represent the site in company-wide strategic discussions - Partner with People/HR, Finance, and Operations to ensure seamless site operations - Drive local community engagement, partnerships, and Perplexity's brand presence in the London and European tech community Technical Leadership: - Directly manage and mentor one or more infrastructure or AI infrastructure teams in London (5-15+ engineers) - Set technical direction and strategy for London-based infrastructure initiatives in alignment with company-wide goals - Drive architectural decisions and technical excellence across teams - Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads - Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives Team Building & Talent: - Build and scale high-performing infrastructure and AI infrastructure teams through strategic hiring - Develop and execute talent acquisition strategy for the London site in partnership with recruiting - Create career development frameworks and growth opportunities for engineers - Foster technical mentorship and knowledge sharing across teams and sites Cross-functional Collaboration: - Partner with Product, Engineering, and Research teams globally to understand infrastructure needs and deliver solutions - Coordinate with other site leads and engineering leaders to ensure effective cross-site collaboration - Contribute to company-wide infrastructure strategy and roadmap planning - Facilitate knowledge transfer and best practice sharing across global teams Qualifications: Required - 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles - 3+ years of people management experience, including building and scaling teams - Proven track record of establishing or significantly growing an engineering site or office - Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation - Experience with infrastructure supporting large-scale AI/ML systems, including: - GPU infrastructure and orchestration - ML training and inference pipelines - Model serving and deployment at scale - Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems - Demonstrated ability to set technical vision and drive execution across multiple teams - Excellent communication and stakeholder management skills - Experience working in fast-paced, high-growth technology companies - Passion for building inclusive, diverse, and high-performing teams Preferred - Experience at companies focused on AI/ML, search, or large-scale consumer applications - Previous experience as a site lead, office lead, or similar multi-team leadership role - Background in building infrastructure for LLM training or inference - Contributions to open-source infrastructure or AI infrastructure projects - Experience scaling teams from 0 to 20+ engineers - Active involvement in the London or European tech community - MBA or advanced technical degree What Success Looks Like: 30 Days - Deep understanding of Perplexity's infrastructure, technology stack, and organizational structure - Established relationships with key stakeholders across engineering, product, and leadership - Initial hiring plan and culture strategy for London site established - Help the Search, API, AI and Infra teams build out their hiring pipelines 90 Days - Core infrastructure team established and ramping in London - Clear technical roadmap and priorities defined for London-based teams - Site culture and operating rhythms established (team meetings, all-hands, cross-site syncs) - London office actively participating in company-wide infrastructure initiatives 1 Year - London site operating as a high-functioning hub with 15-30+ engineers - Infrastructure teams delivering measurable impact on system reliability, performance, and scalability - Strong talent brand established in London market with healthy hiring pipeline - London recognized internally as a strategic site contributing to Perplexity's technical leadership Why Join Perplexity - Ground-floor opportunity to build and lead a strategic site for a fast-growing AI company - Work on cutting-edge AI infrastructure challenges at massive scale - Shape the culture and technical direction of an entire office - Competitive compensation including equity - Comprehensive benefits package - Flexible work environment - Opportunity to make a significant impact on how millions of people access and interact with information Location: London, United Kingdom (Hybrid) Perplexity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Research and Education Partnerships Manager
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal is the cloud platform built for AI. We're used by the world's leading AI labs, startups, and researchers to run compute-intensive workloads: training runs, inference, sandboxed code execution, and more. We need someone to own and grow our presence in academia and research. That means running our Modal for Academics program https://modal.com/academics: sponsoring courses and labs with compute credits, building relationships with professors and researchers at top institutions, and making Modal the default choice when someone needs GPUs for their next paper. The right person has lived in this world. You know how grant cycles work, how labs are structured, and how the conference publishing process actually runs. You've also shown you can operate beyond the lab, whether that's organizing events, building community, or working across institutional boundaries. In this role, you will: - Own and operate the Modal for Academics program end-to-end: handling inbound inquiries, overseeing grant decisions, onboarding, and follow-through. - Identify and pursue sponsorship opportunities with university courses, ML research labs, and academic conferences, with a bias toward work that's likely to be widely read and cited. - Build relationships with professors and researchers at top universities. - Partner with leading AI research labs on compute grants and collaborative programs. - Track outcomes: which grants produced papers, citations, talks, or downstream Modal adoption. - Represent Modal at academic conferences (NeurIPS, ICLR, ICML, and others) and research-adjacent events. - Develop outreach templates, program documentation, and supporting content to scale inbound interest. REQUIREMENTS: - A PhD or research Master's from a strong program in ML/CS or with a large computational component. You know how grants work, how labs are structured, and how the conference process actually runs. - Evidence that you've operated beyond pure research: organizing a workshop, running a student group, working with a grants office, industry internships, or similar. - Strong written and verbal communication, including on technical matters. You'll be representing Modal to professors and researchers at top universities. - Good judgment about what's worth pursuing. Not every course sponsorship or lab partnership is equal. - Organized and self-directed. This role spans dozens of active relationships at any given time. - Comfortable working in-person in a fast-paced startup environment. Nice to have: - Experience as a conference organizer, area chair, workshop chair, or reviewer at a major ML conference. - Existing relationships with professors and researchers at top universities.
Member of Technical Staff - Product (Backend)
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We're looking for strong backend engineers who love building a developer tools used by the largest AI companies in the world. You’ll be building for things at scale, but also for new AI workflows that change every day. REQUIREMENTS: - Experience building and shipping modern web applications end-to-end. We care more about what you’ve built than how many years you’ve been building. - Comfort working across the stack: TypeScript on the frontend, Python services on the backend, and ClickHouse for data and analytics. - Deep knowledge of observability tools and patterns used for large-scale workloads such as custom sandboxes, training and inference for large language (LLM) and diffusion models. - Experience with at least one of: billing/payments systems, B2B SaaS tooling, or enterprise software, or LLM / diffusion models inference and training loads. - Strong product instincts; you think about customer problems, not just tickets. - Ability to participate in on-call rotation and respond to production incidents. - Ability to make good tradeoffs between shipping fast and building for scale. - Ability to work in-person in our NYC or SF office.
Member of Technical Staff - ML Performance
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for strong engineers with experience in making ML systems performant at scale. If you are interested in contributing to open-source projects and Modal’s container runtime to push language and diffusion models towards higher throughput and lower latency, we’d love to hear from you! REQUIREMENTS: - 5+ years of experience writing high-quality, high-performance code. - Experience working with torch, high-level ML frameworks, and inference engines (vLLM or TensorRT). - Familiarity with Nvidia GPU architecture and CUDA. - Experience with ML performance engineering (tell us a story about boosting GPU performance — debugging SM occupancy issues, rewriting an algorithm to be compute-bound, eliminating host overhead, etc). - Nice-to-have: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc).
Developer Relations Engineer, Sandboxes
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal builds AI infrastructure products that developers love. That's how we grew so quickly and why word-of-mouth remains one of our most important channels today. From powering one of the largest vibe-coding platforms at Lovable https://modal.com/blog/lovable-case-study to enabling teams like Ramp to build their own internal coding agents https://builders.ramp.com/post/why-we-built-our-background-agent, Modal Sandboxes are used by developers to safely execute AI-generated code at scale. We're now hiring our first developer relations engineer focused on Modal Sandboxes. Whether it’s banger tweets https://x.com/charles_irl/status/1950377313822265565, in-depth technical resources https://modal.com/gpu-glossary or long-form talks https://www.youtube.com/watch?v=y-UGrYbJsJk, we want to meet developers by any medium necessary and empower them to build and ship novel AI products. In this role, you will primarily be creating and distributing technical content that is unique, educational, and practical. This content will be the first Modal touchpoint for many of our users. We want to not only showcase the power and developer experience of Modal, but also be a trusted resource for them when it comes to implementing new AI technologies. In this role, you will: - Ship high quality technical content (videos, cookbooks, integrations, creative mini-apps) that teaches developers how to use Modal Sandboxes for LLM-powered code execution, vibe-coding apps, RL environments and beyond. - Distill the latest advancements in AI technology and educate developers on how to incorporate them. - Give demos/talks about Modal and adjacent tools at developer events. - Engage with users in our community, both online (X, LinkedIn, Slack) and at in-person events. - Build relationships, integrations, and joint marketing activities with other developer-focused companies - Set objectives that are aligned with the greater GTM team and track the impact of the initiatives you work on. REQUIREMENTS: We are looking for someone who: - Has built something that rhymes with a vibe-coding platform, hosted background agents, or other AI systems that execute generated code in isolated environments. - 3+ years as a software engineer and at least 1 year experience using ML, LLMs, or agentic systems. - Is energized by the AI developer community and wants to help developers adopt new technologies. - Loves teaching. - Has excellent technical communication skills. - Is metrics-driven and takes quantitative approaches to prioritizing initiatives. - Is excited about working in-person in the NYC, SF or Stockholm office. - Bonus: you're not afraid to think outside the box when it comes to compelling technical content. - Bonus: you already have a developer following on social media!
Customer Engineer
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We're looking for engineers with deep AI/ML and low-level systems experience who want to build the best technical support experience in the world. This isn't a traditional support role — it's an engineering role where you happen to be closest to our customers. You'll split your time roughly 50/50 between working directly with customers and shipping fixes, features, and automation that improve Modal for everyone. When you help a customer debug a training run, you'll also fix the underlying issue in the platform. When you notice ten customers hitting the same friction point, you'll build the tooling or automation that eliminates it entirely. This role is for people who solve problems, not people who answer tickets. The problems you encounter are deeply technical and arise from running some of the most demanding AI workloads in the world. You'll be a member of our engineering team, contributing production code alongside the engineers building the core platform. The difference is that your roadmap is shaped by what you learn at the frontier of customer experience. You will: - Ship code that matters. Fix bugs, build features, and create automation that improves the experience for every Modal user — not just the one who reported the issue. - Work directly with customers. Help developers and ML engineers debug, optimize, and architect their workloads across Slack, email, and calls. - Build scalable systems. Design tooling, dashboards, and automated workflows that make support efficient at scale — delighting customers at the most important moments. - Close the feedback loop. Translate patterns you see in the field into concrete improvements — docs fixes, API changes, or new feature proposals. - Contribute to open source and technical content. Write examples, build demos, and publish content that helps the broader community succeed on Modal. REQUIREMENTS: - Accomplished in key areas. You bring depth in either low-level infrastructure or ML/AI, and you're not lost in the other. - Low-level infrastructure experience. Operating systems, file systems, networking, performance profiling, cluster management and distributed systems. - AI/ML engineering experience. Training models, optimizing inference, working with GPUs, or building ML infrastructure. - Automation mindset. Your instinct when you see a manual process is to eliminate it and you have the engineering background to make that happen. - Clear communicator. Can explain a systems issue to a customer, write a crisp bug report, and draft documentation, all while collaborating internally to ship improvements.
Account Executive - Enterprise
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re hiring an Enterprise Account Executive to accelerate Modal’s growth with the world’s most innovative AI companies. This is a high-impact role where you’ll own the full sales cycle—from building pipeline to closing large, strategic enterprise deals. You’ll partner directly with our founders, engineering, and product teams to help customers harness Modal’s infrastructure to train, deploy, and scale AI applications. You’ll be expected to operate as a builder: developing new relationships, shaping our GTM motion, and serving as the voice of the customer inside Modal. The ideal candidate is both technically curious and commercially driven—equally comfortable in a room with C-level executives and with machine learning engineers. In this role, you will: - Drive new business by generating pipeline, negotiating, and closing complex enterprise deals - Build deep, trusted relationships with technical and executive stakeholders at leading AI companies - Run proof-of-concepts and pilots in close collaboration with our solutions and engineering teams - Expand existing accounts by identifying growth opportunities and helping customers scale their workloads - Bring structured customer feedback to influence Modal’s product roadmap and GTM strategy - Contribute to the foundation of Modal’s sales process, culture, and playbooks as we scale the team REQUIREMENTS: - 7–10+ years of enterprise software sales experience, ideally in infrastructure, ML/AI, or developer-focused platforms - Track record of consistently exceeding $1M+ annual quotas and closing six- and seven-figure enterprise deals - Strong technical acumen—able to communicate infrastructure and AI concepts with both engineers and executives - Experience leading proof-of-concepts and managing complex procurement processes - Excellent communication, negotiation, and relationship-building skills - Comfortable in an early-stage, fast-moving environment; excited to help shape systems and processes from the ground up - Ability to work in-person from our office 5 days a week
Software Engineering Manager, AI Observability & E...
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 team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE We’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence. WHAT YOU'LL DO - Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability - Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence - Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform - Partner with product and design teams to define scope, sequence, and success criteria for key initiatives - Maintain a high bar for technical excellence while making sure the team moves with urgency and focus - Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript - Engage directly with customers to understand their needs and translate them into actionable product improvements WHAT YOU'LL BRING - Experience managing or tech-leading teams delivering complex full-stack products - Strong technical background in Go/Python and React/Typescript - Solid understanding of databases (Postgres, Redis and ClickHouse) - Proven ability to design high throughput data-intensive systems - Bias towards shipping quickly and learning from customers - Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers - Bonus: Experience building AI/LLM-powered applications, developer tools, or observability platforms - Annual salary range: $200,000- $250,000 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.
Software Engineering Manager, AI Observability & E...
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 team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE We’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence. WHAT YOU'LL DO - Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability - Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence - Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform - Partner with product and design teams to define scope, sequence, and success criteria for key initiatives - Maintain a high bar for technical excellence while making sure the team moves with urgency and focus - Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript - Engage directly with customers to understand their needs and translate them into actionable product improvements WHAT YOU'LL BRING - Experience managing or tech-leading teams delivering complex full-stack products - Strong technical background in Go/Python and React/Typescript - Solid understanding of databases (Postgres, Redis and ClickHouse) - Proven ability to design high throughput data-intensive systems - Bias towards shipping quickly and learning from customers - Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers - Bonus: Experience building AI/LLM-powered applications, developer tools, or observability platforms - Annual salary range: $200,000- $250,000 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 Fullstack Engineer, AI Observability & Eval...
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 Us: ABOUT THE ROLE In person 5 days/week in San Francisco We're looking for a Senior Fullstack Engineer for our commercial product LangSmith, an observability and evals platform. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with enterprise customers, developer end-users and internal stakeholders. WHAT YOU WILL DO - Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack. - Collaborate closely with product and design teams to iterate on new features. - Mentor and guide more junior members of the team. Drive aggressive project timelines while ensuring high engineering standards are being met. - Lead by example in writing clean, maintainable, and well-tested code WHAT YOU BRING - 5+ years of experience in software engineering working on complex platform products - Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend. - Strong understanding of database systems, particularly Postgres and Redis - Experience designing and scaling APIs, preferably in a high-performance, data-intensive application - A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback - Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers - Strong ownership mindset - Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms Compensation - Annual salary range: $175,000-$240,000 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.
Security Compliance Analyst, Privacy
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 Security team at LangChain treats compliance as a business enabler, not a checkbox. We move fast, build customer trust across regulated industries, and are actively rethinking what modern security compliance looks like at an AI-native company. We are a small team that operates nothing like a traditional compliance function, still deep in the work of building controls, implementing frameworks, and pushing the business forward on security. ABOUT THE ROLE You'll play a central role in building and scaling LangChain's privacy compliance program, developing the processes, technical controls, and automation that back our commitments to customers, partners, and regulators. You'll maintain and grow our SOC 2, ISO 27001, and privacy programs while taking primary ownership of our privacy framework across multiple cloud environments, deployment models, and geographies. We are looking to hire in-person in SF or NY. WHAT YOU'LL DO - Build and automate our compliance operations layer, including evidence pipelines, control monitoring, and agentic systems for always-on visibility into our compliance posture. - Work directly with Engineering to embed security and privacy controls into our products, including deletion pipelines, PII detection, access audit logging, and fine-grained data access controls. - Maintain and scale our certification and audit programs across SOC 2, ISO 27001, ISO 27701, ISO 42001, HIPAA, GDPR, CCPA, EU-US Data Privacy Framework, and others. Drive audit readiness, identify overlapping requirements, and reuse evidence across frameworks to continuously strengthen our security story. - Partner with Legal on security and privacy contract execution, covering DPAs, BAAs, security addenda, and vendor terms. Build the templates, playbooks, and review processes that enable fast, reliable execution in regulated verticals and unblock enterprise sales. - Monitor adherence to security and privacy contractual obligations across all signed agreements, building the operational workflows and tracking mechanisms to stay on top of commitments as our customer base grows. - Contribute to LangChain's customer trust program — security questionnaire responses, due-diligence reviews, and the trust documentation and whitepapers that give regulated-industry customers confidence in our security posture. - Support vendor privacy risk assessments during onboarding and renewals. WHAT YOU'LL BRING - 5+ years in privacy, GRC, or security compliance, ideally with time at a Big 4 or advisory firm, or in-house at a high-growth tech company. - Hands-on operational experience with privacy regulations and compliance frameworks (GDPR, HIPAA, CCPA, ISO 27001, ISO 27701, SOC 2), including controls mapping, audit support, and day-to-day program operations. - Experience with DPAs and BAAs: reviewing, negotiating, or operationalizing them in a commercial context. - Technical fluency: comfortable reading code, understanding data flows, validating that controls work as described, and collaborating directly with engineering teams. - Exceptional writer. You'll draft policies, respond to security questionnaires, and translate complex requirements into clear guidance for audiences ranging from engineers to executives. NICE TO HAVE - Background in a regulated industry (healthcare, finance, government) or working directly with regulated-industry customers. - Experience working across multi-cloud deployment environments. - Ability to write scripts or code (Python is a strong plus) to automate compliance checks, privacy workflows, or build integrations between security and compliance tooling. - Relevant certifications such as CIPM, CIPP/E, CIPP/US, CISA, CISSP, ISO 27001 Lead Implementer, or ISO 27701 Lead Implementer. - Annual salary range: $175,000- $220,000 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 Vice President, Sales EMEA
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 hiring a Regional VP for EMEA to own and lead our UKI, Benelux, and Nordics business. You'll inherit a team of nine quota-carrying enterprise AEs across three hubs: London, Amsterdam, and Stockholm, and be responsible for building the management layer, operating model, and partner ecosystem that takes Northern Europe from early traction to consistent, scaled revenue. This is a Director-level hire with second-line ambition. You'll report directly to the VP EMEA and operate with meaningful autonomy across pipeline, hiring, partner relationships, and executive engagement. Northern Europe represents the highest growth potential in EMEA. The UKI holds the largest LangChain user base and enterprise footprint in the region, while the Nordics and Benelux are building strong momentum with significant upside ahead. WHAT YOU'LL OWN Team leadership and performance - Lead, develop, and expand the Enterprise Sales teams across UKI, Benelux, and Nordics from day one - Run weekly pipeline reviews, deal coaching sessions, and forecast calls with precision and consistency - Identify and close performance gaps early: coach the team to close larger deals faster and navigate complex, multi-stakeholder cycles - Build a culture of accountability and development; create clear career paths for senior individual contributors, including first-line management opportunities as the team scales Revenue - Own the Northern Europe number: quarterly and annual quota attainment across all three sub-regions - Build and maintain a healthy pipeline that supports consistent delivery and predictable forecasting to VP EMEA and leadership - Engage directly in strategic deals as executive sponsor, bringing credibility and commercial weight to enterprise negotiations - Establish the region's strongest lighthouse accounts across key industry verticals, building referenceable wins that anchor LangChain's market position in Northern Europe Hiring - Manage multiple open roles across Northern Europe simultaneously: owning the full hiring lifecycle across pipeline, assessment, and closing - Partner with the retained search firm and internal talent team to move at pace without compromising on quality - Define the headcount profile for Northern Europe beyond Q3 and feed into H2 planning, ensuring the team is built ahead of the revenue curve Partner ecosystem - Owns hyperscaler and GSI/RSI relationships (AWS, Google Cloud, Azure, and key SIs) across UKI, Nordics and Benelux - Develop a structured partner motion that generates qualified pipeline and supports deal acceleration, reduces risk and drives expansion - Represent LangChain at partner QBRs and executive engagements in region Market presence - Represent LangChain as a keynote-ready leader at partner events, customer engagements, and industry conferences across the region: including KubeCon, Money20/20, Nordic AI summits, and customer EBCs - Build LangChain's brand with technical buyers, CIOs, and innovation leaders across Northern Europe's most important enterprise accounts - Bring intelligence on the UKI, Benelux, and Nordics markets back to the VP EMEA and product teams to inform roadmap and go-to-market positioning WHAT WE'RE LOOKING FOR Experience - 8+ years in enterprise SaaS sales, with at least 3 years in a regional or sub-regional leadership role managing quota-carrying AEs - Demonstrable track record of hitting and exceeding regional revenue targets across multiple quarters - Experience managing teams across multiple countries and time zones, with the cultural intelligence to operate across UKI, Benelux, and Nordics - Background selling to technical buyers (engineering leaders, CTOs, platform teams): you understand how developer tools get evaluated and adopted - Experience in the AI, data, or developer tooling space strongly preferred; familiarity with the LangChain ecosystem is a meaningful plus Leadership - You've run teams of 6+ AEs before and know the difference between managing and coaching - You can hold a forecast conversation with a VP and a deal coaching session with an AE in the same afternoon, and add value in both - You hire well and fast. You know what good looks like for enterprise AE profiles and you can run structured hiring processes across four open roles simultaneously - You've built or contributed to a partner motion before: you understand what "partner pipeline" means in practice, not just in theory Operating style - You bias toward action. You don't wait for a playbook to be handed to you: you build it - You're comfortable with ambiguity and early-stage scale. This is not a role with a fully defined motion; you'll shape a significant part of it - You communicate clearly and directly, to your team and to leadership - You're present in the market. You attend the right events, know the right people, and build relationships that translate into pipeline and retention On Target Earnings Range: 300K to 330K + 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.
Recruiting Coordinator (contractor)
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 is hiring a Recruiting Coordinator to help build and scale our high-performing team. You’ll support recruiters, hiring managers, and candidates through every step of the interview and hiring process. You’ll manage interview logistics, drive candidate communication, and keep our recruiting operations running smoothly. You’ll be a key part of creating a thoughtful, efficient, and candidate-friendly hiring experience. WHAT YOU’LL DO: - Schedule a high volume of interviews across multiple time zones and mediums (virtual & in-person) - Communicate directly with candidates via email and phone to keep them informed and prepped throughout the process - Help manage various projects including interview training and pipeline reporting in our ATS (Ashby) - Host candidates onsite for interviews and team meetings - Collaborate with hiring managers and recruiters to build out and update interview plans and other internal documentation - Be a stragic partner with recruiters to continuously improve internal processes and tools. - Support recruiting initiatives including sourcing events, referral drives, and onboarding prep WHAT WE’RE LOOKING FOR: - 2+ years of coordination experience within a technology company, ideally supporting recruiting or HR - Strong organization and time management skills: ability to prioritize and execute multiple high-priority tasks simultaneously - Keen attention to detail - Passion for creating exceptional candidate experiences - Startup DNA: experience in a startup or ability to thrive in fast-paced, unstructured environments - Excellent written and verbal communication skills - Proactive problem-solving mindset with a drive for continuous improvement BONUS IF YOU HAVE: - Experience with modern ATS systems (e.g., Ashby, Greenhouse, Lever) - Familiarity with building recruiting and coordination processes (interview training programs, scheduling best practices, candidate experience design) 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.
Python OSS 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 Team The Python Open Source team maintains and evolves the core LangChain Python ecosystem used by millions of developers worldwide. We focus on building reliable, well-designed abstractions for developing AI agents and integrating them with real-world tools and systems. The team works closely with the open-source community, incorporating feedback and contributions while ensuring the core libraries remain stable, scalable, and production-ready. Our work defines the developer experience for building AI applications with Python. About the role In person 5 days/week in San Francisco, CA or Boston, MA (SF preferred) We’re looking to add a core maintainer to the LangChain team. This person would be responsible for maintaining and improving the LangChain Python package. - Improving the core abstractions and runtime of the langchain and langgraph packages - Improving documentation https://python.langchain.com/docs/integrations/providers/ - Answering user questions and resolving issues - Use langchain to build example applications What You'll Do - Improve the core abstractions and runtime of the LangChain and LangGraph packages - Improve documentation across the LangChain ecosystem - Answer user questions and resolve issues from the community - Use LangChain to build example applications that demonstrate how to build production AI systems What You'll Bring - 5+ years of software engineering or applied machine learning experience - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders - The ability to thrive in a fast-moving environment and view unstructured environments as an opportunity to identify impactful work and define the future success of the company - An ownership-minded approach to work, with the ability to manage your work efficiently and effectively without the need for close supervision Compensation - Annual salary range: $160,000- $240,000 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.
Principal Software Engineer, AI Observability & Ev...
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 team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, they own this end-to-end. If you want to help define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE We're looking for a Principal/Lead level Software Engineer to join the LangSmith team and help drive the technical direction of the platform. You'll build across the full stack from backend services and APIs to frontend product surfaces, and you'll play a central role in shaping how we build: setting engineering standards, mentoring engineers across the team, and making architectural decisions that hold up as we scale. If you're energized by both hands-on engineering and the multiplier effect of leveling up those around you, this role is built for that. Location: This role can be based in our Boston, San Francisco, or NYC office. WHAT YOU'LL DO DRIVE TECHNICAL DIRECTION - Lead architectural decisions across our Go, Python, and TypeScript stack, ensuring systems are performant, maintainable, and built to scale - Work across the full stack, owning features end-to-end from backend services and APIs through to frontend product experiences - Drive tracing, monitoring, and evaluation workflows at scale, with a focus on reliability and query performance across high-volume data - Help shape the product roadmap by partnering closely with product and design — not just executing on it RAISE THE BAR FOR THE TEAM - Set engineering standards for the team: define patterns, lead code reviews, and establish the foundations others build on - Mentor and grow engineers at all levels through code review, design feedback, pairing, and ongoing technical guidance - Drive projects from ambiguity to delivery while maintaining high engineering standards and aggressive timelines OWN RELIABILITY AND QUALITY - Troubleshoot and resolve production issues with a root-cause mindset, and implement durable fixes - Ensure system reliability through strong testing, monitoring, and alerting practices - Create and maintain technical documentation, including system design docs and API references WHAT YOU'LL BRING - 10+ years of professional experience in backend or fullstack engineering on highly complex, production systems - Strong programming skills across multiple parts of the stack: backend (Python and/or Go) and frontend (TypeScript, React, or similar) - Demonstrated experience making and owning architectural decisions, including tradeoffs around data systems, APIs, and service reliability - Experience with high-throughput or mission-critical systems, and a proven ability to optimize for performance and reliability - Depth in operationalizing technical work — you've taken systems from prototype to production and kept them running well at scale - Demonstrated track record of mentoring engineers and raising the technical quality of a team, not just the codebase - Strong communication skills and comfort operating cross-functionally with product, design, and engineering leadership - Customer centricity and an ownership mentality — you care how the product lands, not just how the code reads - You exemplify our operating principles https://www.langchain.com/careers NICE TO HAVE - Experience with database systems (Postgres, Redis, ClickHouse) and cloud platforms (AWS, GCP, or Azure) - Familiarity with observability tooling, evaluation frameworks, or AI/LLM infrastructure Salary Range: $230,000 - $270,000 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.
People Partner
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 is scaling for our next phase of growth, and we are looking for our founding People Partners who are business operators at heart. In this role, you aren’t just "supporting" the team—you are a strategic co-pilot to our EPD, GTM, and Ops leaders. You will proactively anticipate organizational friction, design people solutions that drive business results, and leverage an AI-first mindset to eliminate administrative toil. We are looking for a resilient builder who moves at the speed of an AI startup. You will be deeply embedded in the business, using data to diagnose problems before they arise and influencing senior leadership to make the right calls on org design, talent density, and leadership. LOCATION/CITY: San Francisco, CA; New York, NY RESPONSIBILITIES: - Business-First Partnership: Embed deeply with Engineering, Product, GTM, and Ops to understand their roadmaps. You drive business outcomes—velocity, quality, and retention—through intentional people strategies rather than standard HR playbooks. - Proactive Organizational Architecture: Act as an early warning system. Use data and organizational pulse to anticipate burnout or friction points. Partner with leaders to architect high-performance team structures, headcount forecasting, and foundational builds. - AI-First Operations: Ruthlessly automate the routine. Leverage AI tools and modern tech stacks to streamline people processes, ensuring your time is spent on high-leverage coaching and strategy rather than manual administration. - Strategic Coaching & Influence: Serve as a truth-teller to leaders, from first-time managers to industry veterans. Provide high-signal coaching on performance, leadership, and team dynamics, pushing back when necessary to maintain our high bar. - Data-Driven Insights: Own the People Dashboard for your business units. Build clear, concise one-pagers based on metrics—from attrition trends to comp parity—to influence leadership decisions. - Program Implementation & Stewardship: Tailor the rollout of core programs (compensation cycles, leveling, performance frameworks) to the specific needs of your units. Manage sensitive employee relations with empathy, legal rigor, and a focus on excellence. - XFN Collaboration: Work seamlessly across the People team, flexing between building new programs and partnering with the hiring machine to ensure united solutions for the business. REQUIREMENTS: - Experience: 8+ years as an HRBP or People Partner in a high-growth, fast-paced tech environment. - Business & AI Fluency: Technical and AI-savvy. You speak the language of engineers and researchers and are an early adopter of AI tools to up-level your own productivity. - Strategic Influence: A truth-teller with the confidence to push back on senior leaders and the EQ to do it effectively. - Data-Driven: You don't rely just on gut feel. You use data to tell stories, identify trends, and back up your recommendations. - Precision Communication: A master of high-stakes communication. You can draft a Slack message, a 1-pager, or a board slide that is clear, concise, and persuasive. - Resilient Hustle: You thrive in the grey of a startup and manage multiple high-priority work streams without losing focus. You identify organizational gaps and build solutions without waiting for a ticket. COMPENSATION - Annual salary range: $160,000 - $230,000 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.
JavaScript Engineer (Open Source Team)
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 Open Source team builds and maintains the core libraries that developers use to build AI agents with LangChain. The team works directly with the open-source community to improve the ecosystem, maintain core packages, and ensure developers can reliably build and deploy production AI systems using LangChain. About the Role We’re looking to add a core maintainer to the LangChain team. This person would be responsible for maintaining and improving the LangChain JavaScript package. In-person in SF preferred. What You'll Do - Improve the core abstractions and runtime of the LangChain and LangGraph JavaScript packages - Improve documentation across the LangChain ecosystem - Answer user questions and resolve issues from the developer community - Use LangChain to build example applications that demonstrate best practices for developers building AI systems What You'll Bring - 3+ years of software engineering or applied machine learning experience - A background in software engineering - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders - The ability to thrive in a fast-moving environment and view unstructured environments as an opportunity to identify the most impactful work and help define the future success of the company - An ownership-minded approach to work, with the ability to manage your work efficiently and effectively without the need for close supervision Compensation - Annual salary range: $160,000- $240,000 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.
Head of People Operations
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 is scaling fast. Our People function is lean by design and high-leverage by necessity. We don't run People Ops the way most companies do. We build operational systems that compound, automate the sludge, and keep the team focused on work that actually moves the company forward. We're looking for a Head of People Operations to own the People Ops function end-to-end. This is the person who architects and runs the infrastructure every employee relies on: compliance, HRIS, benefits, leave programs, global employment, policy, and the automations that make all of it work without constant manual intervention. You'll report to the VP of People. You'll have real scope and real authority. As we scale, you'll build a small team of ops coordinators under you. What you won't have is a 20-person HR function to route through. This is a build role. LOCATION/CITY: San Francisco, CA; New York, NY; open to remote RESPONSIBILITIES: - Own People Ops end-to-end. You are the accountable operator for HRIS integrity, benefits administration, leave and accommodations management, compliance, and onboarding and offboarding programs. The function runs because you built it to. - Build and maintain LangChain's compliance layer. US multi-state requirements, global employment law, contractor vs. FTE classification, immigration case coordination, and audit readiness across I-9, ERISA Wrap, and Flex Plan. You're the internal expert and the escalation point, and you partner with outside employment counsel when it calls for it. - Own Rippling as the system of record. Workflow configuration, data integrity, onboarding and offboarding automation, payroll coordination. You don't just use the tool — you build it. - Lead global employment operations. Manage EoR provider relationships, coordinate international contractor agreements, and build scalable infrastructure for hiring across geographies including the US, UK, EU, and beyond. You understand the compliance nuance across regions, not just one. - Architect and govern People policies. Own the employee handbook, leave frameworks (medical, parental, personal), STD/LTD administration, outside activity and IP-adjacent policies, and the compliance governance behind them. You'll own the mechanics and logistics of our benefits programs long-term, including STD/LTD setup and ongoing vendor management. - Build People Ops automations and workflows. You've shipped automations yourself. You have opinions on what should be automated in the People function. You'll define the roadmap, build where you can, and partner with Talent Ops on execution where scopes intersect. - Own employee relations and accommodations. Handle ER matters with appropriate confidentiality, consistency, and documentation. Own the accommodations process end-to-end. You know when to resolve internally, when to escalate, and when to loop in counsel. - Contribute to People data and reporting. Own headcount data integrity in Rippling and contribute to the People analytics layer: turnover reporting, onboarding metrics, and the operational data that informs People strategy. - Evaluate and govern AI tools used in People Ops. As we deploy AI-assisted workflows across the function — from onboarding automation to compliance tooling — you'll be the operational owner who assesses accuracy, data handling, fairness, and auditability. You bring a thoughtful lens to where AI adds leverage and where human judgment is non-negotiable. - Support SOC2 and audit readiness. Serve as the People Ops owner for SOC2 and related compliance audits — documenting people-related controls, ensuring they're tested, and maintaining readiness as we scale. - Build a small team as we grow. You may hire 1-2 People Ops coordinators (FTE or contractor) over time. You know how to give people the torch and get out of their way. REQUIREMENTS: - 8+ years in People Ops or HR Operations, with meaningful time owning a People Ops function at a high-growth technology company through a significant scale-up phase - Deep, hands-on Rippling experience — workflow config, data integrity, reporting, onboarding flows. Not "familiar with it" - Global employment experience across multiple regions — EoR coordination (Rippling Global, Multiplier, Remote, Deel, or similar), international contractor structuring, and cross-border compliance across US, UK, EU, APAC, or LATAM - Built automations and workflows yourself — you've shipped something using Zapier, Make, or an LLM-assisted workflow. You don't just have ideas; you have receipts - Strong working knowledge of California employment law and multi-state compliance, including leave administration, accommodations, and contractor classification - Proven track record building compliance and policy infrastructure from near-zero, including leave frameworks, employment policies, and handbook governance - Benefits administration and vendor management experience — brokers, carriers, EoR providers, background check vendors, and similar - Comfort operating at multiple altitudes — you can advise the VP of People on policy architecture in the morning and fix a broken Rippling workflow in the afternoon - High ownership orientation — you treat the function like it's yours, because it is - AI tool fluency — you actively use AI tools in your work, have an opinion on where they add leverage in People Ops, and bring appropriate judgment to their governance Strong signal: - Experience at a high-growth AI or developer tools company - Have used or experimented with LangChain, LangSmith, or LangGraph - Have an opinion on what an AI-native People Ops function looks like — and have started building one - Experience standing up STD/LTD, 401(k) match, or similar benefits programs from scratch - Direct experience engaging outside employment counsel on policy or ER matters - SOC2 or similar compliance audit experience on the People side COMPENSATION & BENEFITS We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan with employer match, phone and wellness stipends, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide 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.
Head of Narratives
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 has strong technical credibility, a large developer community, and a lot worth saying. What we need now is someone to make sure we're saying it — consistently, strategically, and in ways that land. We're looking for a Head of Narratives to own how LangChain shows up in the world across content, brand, social, and design. This is a role for someone who thinks like a media company operator: always-on publishing, sharp editorial judgment, a clear point of view on the themes that matter, and a relentless focus on getting great content in front of the right people at the right time. You'll lead an existing team of rockstars across brand, social, content and design — each with deep expertise. Your job is to give the team a shared narrative direction, keep the output sharp and consistent, and make sure LangChain is building an audience that wants to hear from us. This is a player-coach role. You'll set the direction but you'll also be in the work — shaping editorial, giving creative feedback, and reviewing and writing. The right person is opinionated about what good looks like and hands-on enough to help get there. WHAT YOU'LL DO: Content Marketing & Editorial - Define the themes and narratives LangChain is hitting. Spearhead the direction on what LangChain should be known for — and translate that into a rolling editorial direction that the whole team is working from. This is the backbone of everything else. - Keep the editorial calendar always on. Make sure there's always something worth reading, watching, or sharing coming from LangChain — and that it's connected to a coherent point of view. - Review content. Work closely with an existing content marketer to build the program together — shaping briefs, editing drafts, writing when the moment calls for it, and growing the team over time. - Set and uphold the editorial standard. Define LangChain's voice and quality bar. Brand - Shape brand direction in close partnership with the brand lead. The brand lead focuses on brand voice, visual identity, and standards. You'll work closely together to align on where the brand is headed, what it stands for, and how it shows up — with narrative and brand informing each other rather than operating separately. - Stay close to major brand moments. Bring a point of view on concept and messaging for out-of-home, awareness campaigns, and other brand initiatives. Work with the brand lead to make sure what we're saying and how we're showing up are pulling in the same direction. - Make sure brand and narrative feel like one thing. The brand should feel like a natural extension of the editorial point of view, and vice versa. Social & Rich Media - Partner with the social lead on strategy, themes, and goals. The social lead focuses on growing LangChain's social channels and ways to amplify our content and messaging. Work together to ensure social is amplifying the themes and narratives the broader team is driving. - Shape LangChain's rich media approach together. Work with the social lead to develop a shared point of view on how video, audio, and other formats fit into the content mix — where they build audience, where they deepen credibility, and how to build the right execution muscle over time. - Track what's working, what's not, and use it to sharpen direction. Stay close to performance across content, brand, and social to have a better sense on where to focus, what narratives are resonating, and where to double down. Brand Design - Lead the creative direction for brand design in close partnership with our brand designer. Own the visual vision for how LangChain looks and feels — and work day-to-day with our brand designer to translate that into execution across campaigns, content, social, and brand moments. - Be a strong creative partner. Have a real point of view on what looks right, what earns trust with a technical audience, and where the work needs to go further. Give clear direction and help the designer do their best work. - Keep visual identity consistent across every channel. A media company looks like itself everywhere it shows up. Make sure LangChain does too. Team Leadership - Lead by being in it. Develop your team by being close to the work — giving useful feedback, shaping output, and raising the bar through example. - Build the operating rhythm. Establish the rituals and shared workflows — editorial planning, cross-functional reviews, publishing cadences — that help brand, social, content, and design operate as a unit. - Connect narrative to the rest of the business. Translate what marketing, sales, product, and leadership need into a narrative strategy your team can execute — and keep everyone aligned as priorities shift. WHAT WE'RE LOOKING FOR - Ability to work like a media company operator. You think in publishing cadences, audience development, and narrative arcs — not just campaigns. You know what it takes to build an always-on content engine and keep it running at a high standard. - Player-coach. You've led creative and content teams and know how to develop people — but you stay close to the work and make it better by being in it. - Strong narrative instincts. You have a clear point of view on what makes a brand story work and can translate that into real direction across content, brand, social, and design. - Analytically grounded. You track what's working, form a view on why, and use that to make better decisions about where to focus. You connect creative work to business outcomes. - Developer audience instincts. You understand what earns trust with technical audiences and can orient a creative team around that bar. - Collaborative and clear. You work well with strong practitioners who own their domains — building alignment without stepping on what they own. Nice to Have - Experience leading narrative, brand, or content teams at a developer-focused company - Background in technical or developer marketing - Familiarity with the AI/ML ecosystem and the tools developers use to build - Experience building a content marketing function, including hiring and editorial operations - Track record running brand campaigns, including out-of-home or awareness programs Salary Range: $210,000 – $240,000 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.
GTM 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: We are looking for an GTM Engineer where you won’t just be using our tools—you’ll be the "First Customer," building the AI-native systems that power our technical support, onboarding, and customer success engines. You will own the technical roadmap for how LangChain supports its users. Your goal is to drive massive case deflection and a premium onboarding experience by building autonomous agents that solve complex technical problems before a human ever needs to step in. This is a role for a builder-operator who can identify a friction point in the customer journey and ship a production-grade agentic solution to fix it. YOU WILL: - Architect Customer Agents: Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows. - Drive Case Deflection: Analyze customer friction points and build self-service AI systems that significantly reduce support volume while improving the quality of the customer experience. - Own the Domain: Act as the product owner and the technical muscle proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of the systems you build. - Dogfood the Stack: Be a key member of the feedback loop for our product team. As you build complex systems for our customers, you’ll identify gaps in our frameworks and contribute back to the LangChain and LangGraph open-source ecosystem. - Build Onboarding Workflows: Develop "AI-native onboarding" experiences that help enterprise customers move from prototypes to production faster by automating documentation retrieval and code generation. WHAT WE ARE LOOKING FOR: - AI-Native Developer: You have a deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops. You have likely already built with LangChain or LangGraph. - Engineering Foundation: You are a strong software engineer (typically 3+ years) with at least 1 year of experience specifically shipping LLM systems in production. - Self-Directed "Founder" Mentality: You don't need a ticket to tell you what to fix. You are comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously. - Full-Stack Capability: Strong coding skills in Python or TypeScript (ideally both) and the ability to build end-to-end applications. - Customer-Centric: You enjoy the intersection of high-level engineering and direct customer impact. You can translate a customer's technical pain point into a scalable system architecture. Nice to Haves: - Expertise with LangSmith for evaluation and monitoring. - Experience building or maintaining open-source projects. - A background in technical consulting, solutions engineering, or high-growth GTM teams. Compensation: - We offer competitive compensation that includes base salary, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. - Salary: $160K - $180K 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.
Engagement Manager (NYC)
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 Professional Services team is the bridge between LangChain's technology and the enterprise customers building on top of it. We partner with some of the world's most ambitious companies to help them move from pilot to production — designing solutions, accelerating time-to-value, and ensuring teams get the most out of LangChain, LangGraph, and LangSmith. We work at the intersection of deep technical expertise and customer partnership, and we take pride in the outcomes our customers achieve. As LangChain grows, PS plays a direct role in shaping how enterprise AI gets built in the real world. ABOUT THE ROLE: We're looking for an Engagement Manager to join our Professional Services team. You'll manage multiple concurrent technical engagements, ensuring successful delivery of Professional Services projects for enterprise customers. You'll be the primary point of contact for customers and coordinate cross-functional teams to deliver exceptional outcomes. This role offers direct impact on customer success, the opportunity to shape processes and methodologies, and the chance to work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. Location: This role can be based in our San Francisco or New York office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way) may be eligible for hybrid arrangements depending on location and role requirements. Open to remote candidates within the US. WHAT YOU'LL DO: - Engagement Lifecycle Management: Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff - Customer Communication & Relationship Management: Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes - Multi-Engagement Management: Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines - Cross-Functional Coordination: Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning - Risk & Issue Management: Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards WHAT YOU'LL BRING: - You have 5+ years of engagement or project management experience, preferably with technical or software engagements - You've managed multiple concurrent engagements and know how to keep quality high across all of them - You have strong experience working with enterprise customers and leading customer-facing communication - You've coordinated cross-functional technical teams — engineers, architects, product — and managed resource allocation - You're experienced with project management tools such as Linear, Jira, Asana, or similar - You've handled scope change management and complex stakeholder dynamics - You have start-up DNA: you thrive in fast-paced, ambiguous environments and don't wait to be told what to do - You're a natural communicator — clear, direct, and effective with both technical teams and executive stakeholders You exemplify our operating principles - You are motivated to build something great: you hold a high bar for quality, craft, and impact - You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate - You operate with maximum agency: you take ownership, move work forward independently, and help others unblock - You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges NICE TO HAVE: - PMP or similar project management certification - Experience in Professional Services or consulting - Experience with AI/ML or infrastructure engagements - Experience with time tracking and billing coordination - Knowledge of software development lifecycle and agile methodologies COMPENSATION Annual Salary: $170,000-$190,000 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.
Engagement Manager (San Francisco)
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 Professional Services team is the bridge between LangChain's technology and the enterprise customers building on top of it. We partner with some of the world's most ambitious companies to help them move from pilot to production — designing solutions, accelerating time-to-value, and ensuring teams get the most out of LangChain, LangGraph, and LangSmith. We work at the intersection of deep technical expertise and customer partnership, and we take pride in the outcomes our customers achieve. As LangChain grows, PS plays a direct role in shaping how enterprise AI gets built in the real world. ABOUT THE ROLE: We're looking for an Engagement Manager to join our Professional Services team. You'll manage multiple concurrent technical engagements, ensuring successful delivery of Professional Services projects for enterprise customers. You'll be the primary point of contact for customers and coordinate cross-functional teams to deliver exceptional outcomes. This role offers direct impact on customer success, the opportunity to shape processes and methodologies, and the chance to work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. Location: This role can be based in our San Francisco or New York office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way) may be eligible for hybrid arrangements depending on location and role requirements. Open to remote candidates within the US. WHAT YOU'LL DO: - Engagement Lifecycle Management: Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff - Customer Communication & Relationship Management: Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes - Multi-Engagement Management: Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines - Cross-Functional Coordination: Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning - Risk & Issue Management: Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards WHAT YOU'LL BRING: - You have 5+ years of engagement or project management experience, preferably with technical or software engagements - You've managed multiple concurrent engagements and know how to keep quality high across all of them - You have strong experience working with enterprise customers and leading customer-facing communication - You've coordinated cross-functional technical teams — engineers, architects, product — and managed resource allocation - You're experienced with project management tools such as Linear, Jira, Asana, or similar - You've handled scope change management and complex stakeholder dynamics - You have start-up DNA: you thrive in fast-paced, ambiguous environments and don't wait to be told what to do - You're a natural communicator — clear, direct, and effective with both technical teams and executive stakeholders You exemplify our operating principles - You are motivated to build something great: you hold a high bar for quality, craft, and impact - You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate - You operate with maximum agency: you take ownership, move work forward independently, and help others unblock - You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges NICE TO HAVE: - PMP or similar project management certification - Experience in Professional Services or consulting - Experience with AI/ML or infrastructure engagements - Experience with time tracking and billing coordination - Knowledge of software development lifecycle and agile methodologies Compensation Annual Salary: $170,000-$190,000 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.
Engagement Manager
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 Professional Services team is the bridge between LangChain's technology and the enterprise customers building on top of it. We partner with some of the world's most ambitious companies to help them move from pilot to production — designing solutions, accelerating time-to-value, and ensuring teams get the most out of LangChain, LangGraph, and LangSmith. We work at the intersection of deep technical expertise and customer partnership, and we take pride in the outcomes our customers achieve. As LangChain grows, PS plays a direct role in shaping how enterprise AI gets built in the real world. ABOUT THE ROLE: We're looking for an Engagement Manager to join our Professional Services team. You'll manage multiple concurrent technical engagements, ensuring successful delivery of Professional Services projects for enterprise customers. You'll be the primary point of contact for customers and coordinate cross-functional teams to deliver exceptional outcomes. This role offers direct impact on customer success, the opportunity to shape processes and methodologies, and the chance to work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. Location: This role can be based in our San Francisco or New York office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way) may be eligible for hybrid arrangements depending on location and role requirements. Open to remote candidates within the US. WHAT YOU'LL DO: - Engagement Lifecycle Management: Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff - Customer Communication & Relationship Management: Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes - Multi-Engagement Management: Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines - Cross-Functional Coordination: Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning - Risk & Issue Management: Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards WHAT YOU'LL BRING: - You have 5+ years of engagement or project management experience, preferably with technical or software engagements - You've managed multiple concurrent engagements and know how to keep quality high across all of them - You have strong experience working with enterprise customers and leading customer-facing communication - You've coordinated cross-functional technical teams — engineers, architects, product — and managed resource allocation - You're experienced with project management tools such as Linear, Jira, Asana, or similar - You've handled scope change management and complex stakeholder dynamics - You have start-up DNA: you thrive in fast-paced, ambiguous environments and don't wait to be told what to do - You're a natural communicator — clear, direct, and effective with both technical teams and executive stakeholders You exemplify our operating principles - You are motivated to build something great: you hold a high bar for quality, craft, and impact - You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate - You operate with maximum agency: you take ownership, move work forward independently, and help others unblock - You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges NICE TO HAVE: - PMP or similar project management certification - Experience in Professional Services or consulting - Experience with AI/ML or infrastructure engagements - Experience with time tracking and billing coordination - Knowledge of software development lifecycle and agile methodologies Compensation Annual Salary: $170,000-$190,000 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 Sales Director - East
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 Location: Hiring in New York We're looking for a Commercial Sales Director to lead and grow our commercial sales motion across the Eastern region. You'll build and develop a team of stellar account executives, and help the most ambitious engineering teams discover, evaluate, and adopt LangChain's products. This is a high-ownership role at a company where the sales motion is genuinely technical — our buyers are engineers and AI/ML teams, and the best person in this seat will earn their trust. If you want real ownership over a region, a product that's solving a problem developers care deeply about, and the opportunity to work in a high-impact environment, we'd love to hear from you. WHAT YOU'LL DO - Own regional sales strategy: territory planning, pipeline health, deal execution across new and existing accounts - Hire, develop, and retain high-performing AEs and build the kind of culture where great people want to stay - Run reliable operating cadence: forecasting, pipeline inspection, deal reviews, and field execution - Translate what you're hearing in the field (from buyers, partners, deals won, deals lost) into concrete input on product, pricing, and packaging - Partner with Marketing, Sales Development, Deployed Engineers, Sales Operations, and Legal to run coordinated go-to-market motions - Work with field marketing on in-person activities: executive dinners, regional events, on-site meetings that move deals forward and deepen relationships - Build relationships with technical buyers (engineering leads, AI/ML teams, platform teams, CPOs, CTOs) as well as economic buyers (VPs, C-suite) - Spot market opportunities early and move on them immediately. HOW TO BE SUCCESSFUL IN THIS ROLE - 7+ years of quota-carrying SaaS sales experience, with at least 2 years managing a team - Consistent track record selling into the corporate, commercial, SMB, Mid-market, and Small-Enterprise segment. - Comfortable selling into technical audiences — you don't need to write code, but you need to understand what developers care about and earn their trust - Experience selling platforms, professional services, and broader organizational transformations, including work with SIs - Clear, direct communicator. Equally effective with a technical buyers and executives. On Target Earnings -$300,000 to $350,000 + 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.
Commercial Account Executive (UK)
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: Location: Hiring in London,UK We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions. This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you. WHAT YOU’LL DO: - Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through - Build relationships with prospects and customers, understanding their needs and how our products can help - Prospect strategically into SMB, mid-market, and small-enterprise accounts How to be successful in this role: - 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred) - 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts - Strong track record of sourcing, qualifying, and closing outbound deals - Execution mindset: you excel in fast-paced environments and move with urgency - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft. - Self-starter and resourceful; you find ways to solve problems and move things forward 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 range: $175,000-$220,000 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.
Commercial Account Executive (German Speaker)
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: Location: Hiring in London,UK We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions. This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you. WHAT YOU’LL DO: - Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through - Build relationships with prospects and customers, understanding their needs and how our products can help - Prospect strategically into SMB, mid-market, and small-enterprise accounts How to be successful in this role: - 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred) - 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts - Strong track record of sourcing, qualifying, and closing outbound deals - Execution mindset: you excel in fast-paced environments and move with urgency - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft. - Self-starter and resourceful; you find ways to solve problems and move things forward - Native German Speaker 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.
Talent Operations Lead
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs is growing fast — and as head of Talent Operations, you'll be the strategic force that makes that growth possible at scale. This isn't a support role. You'll own the infrastructure, tooling, strategy, and team that power how ElevenLabs hires across every function and every market. You'll work directly with the Head of Talent and senior leadership to translate hiring ambitions into operational reality — whether that's standing up a specific hiring programme across new markets, designing the frameworks that make our interviewers more calibrated, or architecting the integration between our HRIS and ATS to eliminate manual work at scale. The problems are large, the autonomy is real, and the impact is immediate. This role requires you to be an IC as well as a lead, driving the team forward whilst having the technical aptitude and attitude to dive into topics and help the team build solutions. Specifically, you will: - Own the end-to-end talent technology stack — leading vendor strategy, managing relationships, making build vs. buy decisions, and ensuring tools are configured, integrated, and used to their full potential. - Identify, design and drive org-wide hiring programmes and frameworks — from interview evaluation systems, to our headcount planning solution and multi-market hiring playbooks. - Lead and develop a team of Talent Operators and Coordinators, setting direction, managing priorities, and creating the conditions for the team to operate at pace without sacrificing quality or candidate experience. - Own the talent data strategy — defining what we measure, building dashboards and reports that surface what matters, and making sure the whole team is working from the same picture. - Act as the strategic interface between Talent and cross-functional partners across People, Finance, Legal, and Engineering, managing complex stakeholder relationships and unblocking hiring at every level. - Identify and eliminate operational drag — building durable SOPs, designing scalable processes, and deploying automation (n8n, AI tooling, custom integrations) wherever it meaningfully reduces friction. - Own core functional processes such as headcount planning. REQUIREMENTS We’re looking for someone who thrives in a fast-paced, detail-oriented environment and is passionate about making talent operations run like a well-oiled machine. - Proven experience leading talent operations or other operational function at a high-growth technology company, ideally through a period of significant scale. - Strong strategic thinking — you can zoom out to design a programme across ten markets and zoom back in to make a tactical call on an ATS configuration the same day. - Deep experience owning or significantly influencing a recruiting tech stack; you understand how ATS pipelines, HRIS integrations, and data flows connect, and you can drive decisions across all of them. - Track record building and leading teams — you know how to set direction clearly, develop people, and hold a high bar without micromanaging. - Exceptional stakeholder management — you've worked closely with senior cross-functional leaders and know how to move fast without leaving people behind. - A builder's instinct — you default to systemic solutions over one-off fixes, and you're comfortable driving automation and tooling decisions hands-on, not just in concept. Nice to have: - Experience designing and running multi-market or international hiring programmes. - Comfort with workflow automation tools (n8n, Zapier, or similar) or building lightweight technical solutions yourself. - Prior experience working in or alongside a fast-scaling AI or deep tech company. If you enjoy working in a fast-paced environment, making data-driven decisions, and driving business impact, this could be a great fit. LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw. #LI-Remote
Enterprise Account Executive - United States - Gov...
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for an experienced, motivated Enterprise Account Executive to drive ElevenLabs' growth in Federal Government. Our ideal candidate is passionate about the transformative possibilities of AI voice technology, and eager to act as a strategic partner - enabling organizations to leverage our industry-leading models and product to reimagine their customer experience, internal workflows, and monetization strategies. Given our success across the enterprise, we are looking for a builder to be our first Account Executive dedicated to government and to work closely with product and engineering to add value for our customers. In this role you will: 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency 3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends 4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more 5. Develop and execute account strategies to expand ElevenLabs’ presence within key enterprise verticals (e.g., healthcare, government, finance). 6. Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts. 7. Serve as a trusted advisor to clients, educating them on emerging trends in generative AI, voice interfaces, and conversational agents. REQUIREMENTS - 7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms. - Proven success closing seven‑figure deals and managing complex sales cycles with multiple stakeholders. - Deep understanding of enterprise procurement and legal processes, with ability to accelerate deal velocity. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Strong executive presence and ability to build relationships at the C‑suite and board level. - Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale LOCATION This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in EST, CST, or PST timezones is required. There is a preference for candidates to be based in Washington DC. #LI-remote
Enterprise Account Executive - Spain
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. We're looking for an experienced, driven Senior Enterprise Account Executive to drive ElevenLabs' growth across Spain's largest enterprises. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Spanish organizations - and is passionate about the transformative possibilities of AI voice technology. In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents - our end-to-end platform for building and deploying AI voice agents - to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: 1. Build and manage a growing portfolio of enterprise accounts across Spain - with a focus on Financial Services & Insurance, Telecommunications, Healthcare, and Utilities - to help ElevenLabs meet its revenue goals. 2. Identify new business opportunities where ElevenLabs' conversational AI capabilities - including ElevenAgents - can drive customer engagement, contact center automation, and operational efficiency. 3. Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers. 4. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends - particularly as they apply to regulated Spanish industries 5. Demonstrate expertise - or a strong willingness to learn - about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, IVR modernization, and in-app assistants 6. Develop and execute account strategies to expand ElevenLabs' presence within key enterprise verticals, navigating complex procurement and organizational structures. 7. Partner closely with Customer Success, FDEs and Solutions Engineering to ensure smooth onboarding, deployment, and expansion of accounts. 8. Serve as a trusted advisor to clients, educating C-suite and senior operations leaders on emerging trends in generative AI, voice interfaces, and conversational agents. Requirements - 7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms. - Proven success closing deals and managing long, complex sales cycles with multiple stakeholders across business, IT, legal, and procurement. - Well-connected in the Spanish enterprise landscape, with an existing network of senior individuals and strong executive presence and ability to build relationships at the C‑suite and board level. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Deep understanding of enterprise procurement and legal processes in Spain, with the ability to accelerate deal velocity within complex organizational structures - Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Native or full professional proficiency in Spanish; strong English for internal collaboration Location Spain #LI-remote
Enterprise Account Executive - Netherlands
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. We're looking for an experienced, driven Senior Enterprise Account Executive to drive ElevenLabs' growth across the Netherland's largest enterprises. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Dutch organizations - and is passionate about the transformative possibilities of AI voice technology. In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents - our end-to-end platform for building and deploying AI voice agents - to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: 1. Build and manage a growing portfolio of enterprise accounts across the Netherlands - with a focus on Financial Services & Insurance, Telecommunications, Healthcare, and Utilities - to help ElevenLabs meet its revenue goals. 2. Identify new business opportunities where ElevenLabs' conversational AI capabilities - including ElevenAgents - can drive customer engagement, contact center automation, and operational efficiency. 3. Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers. 4. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends - particularly as they apply to regulated Dutch industries 5. Demonstrate expertise - or a strong willingness to learn - about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, IVR modernization, and in-app assistants 6. Develop and execute account strategies to expand ElevenLabs' presence within key enterprise verticals, navigating complex procurement and organizational structures. 7. Partner closely with Customer Success, FDEs and Solutions Engineering to ensure smooth onboarding, deployment, and expansion of accounts. 8. Serve as a trusted advisor to clients, educating C-suite and senior operations leaders on emerging trends in generative AI, voice interfaces, and conversational agents. Requirements - 7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms. - Proven success closing deals and managing long, complex sales cycles with multiple stakeholders across business, IT, legal, and procurement. - Well-connected in the Dutch enterprise landscape, with an existing network of senior individuals and strong executive presence and ability to build relationships at the C‑suite and board level. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Deep understanding of enterprise procurement and legal processes in the Netherlands, with the ability to accelerate deal velocity within complex organizational structures - Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Native or full professional proficiency in Dutch; strong English for internal collaboration Location This role is remote-first, so it can be executed from anywhere in the Netherlands with the ability to travel to client sites when required. #LI-remote
Enterprise Account Executive - Germany
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. We're looking for an experienced, driven Senior Enterprise Account Executive to drive ElevenLabs' growth across German's largest enterprises. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major German organizations - and is passionate about the transformative possibilities of AI voice technology. In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents - our end-to-end platform for building and deploying AI voice agents - to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: 1. Build and manage a growing portfolio of enterprise accounts across Germany - with a focus on Financial Services & Insurance, Telecommunications, Healthcare, and Utilities - to help ElevenLabs meet its revenue goals. 2. Identify new business opportunities where ElevenLabs' conversational AI capabilities - including ElevenAgents - can drive customer engagement, contact center automation, and operational efficiency. 3. Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers. 4. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends - particularly as they apply to regulated German industries 5. Demonstrate expertise - or a strong willingness to learn - about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, IVR modernization, and in-app assistants 6. Develop and execute account strategies to expand ElevenLabs' presence within key enterprise verticals, navigating complex procurement and organizational structures. 7. Partner closely with Customer Success, FDEs and Solutions Engineering to ensure smooth onboarding, deployment, and expansion of accounts. 8. Serve as a trusted advisor to clients, educating C-suite and senior operations leaders on emerging trends in generative AI, voice interfaces, and conversational agents. Requirements - 7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms. - Proven success closing deals and managing long, complex sales cycles with multiple stakeholders across business, IT, legal, and procurement. - Well-connected in the German enterprise landscape, with an existing network of senior individuals and strong executive presence and ability to build relationships at the C‑suite and board level. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Deep understanding of enterprise procurement and legal processes in Germany, with the ability to accelerate deal velocity within complex organizational structures - Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Native or full professional proficiency in German; strong English for internal collaboration Location This role is remote-first, so it can be executed from anywhere in Germany with the ability to travel to client sites when required. #LI-remote
Enterprise Account Executive - Chile
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. We're looking for an experienced, driven Senior Enterprise Account Executive to drive ElevenLabs' growth across Chile's largest enterprises. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Chilean organizations - and is passionate about the transformative possibilities of AI voice technology. In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents - our end-to-end platform for building and deploying AI voice agents - to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: 1. Build and manage a growing portfolio of enterprise accounts across Chile - with a focus on Financial Services & Insurance, Telecommunications, Healthcare, and Utilities - to help ElevenLabs meet its revenue goals. 2. Identify new business opportunities where ElevenLabs' conversational AI capabilities - including ElevenAgents - can drive customer engagement, contact center automation, and operational efficiency. 3. Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers. 4. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends - particularly as they apply to regulated Chilean industries 5. Demonstrate expertise - or a strong willingness to learn - about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, IVR modernization, and in-app assistants 6. Develop and execute account strategies to expand ElevenLabs' presence within key enterprise verticals, navigating complex procurement and organizational structures. 7. Partner closely with Customer Success, FDEs and Solutions Engineering to ensure smooth onboarding, deployment, and expansion of accounts. 8. Serve as a trusted advisor to clients, educating C-suite and senior operations leaders on emerging trends in generative AI, voice interfaces, and conversational agents. Requirements - 7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms. - Proven success closing deals and managing long, complex sales cycles with multiple stakeholders across business, IT, legal, and procurement. - Well-connected in the Chilean enterprise landscape, with an existing network of senior individuals and strong executive presence and ability to build relationships at the C‑suite and board level. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Deep understanding of enterprise procurement and legal processes in Chile, with the ability to accelerate deal velocity within complex organizational structures - Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Native or full professional proficiency in Spanish; strong English for internal collaboration Location This role is remote-first, so it can be executed from anywhere in Chile with the ability to travel to client sites when required. #LI-remote
Enterprise Account Executive - Belgium
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. We're looking for an experienced, driven Senior Enterprise Account Executive to drive ElevenLabs' growth across Belgium's largest enterprises. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Belgian organizations - and is passionate about the transformative possibilities of AI voice technology. In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents - our end-to-end platform for building and deploying AI voice agents - to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: 1. Build and manage a growing portfolio of enterprise accounts across Belgium - with a focus on Financial Services & Insurance, Telecommunications, Healthcare, and Utilities - to help ElevenLabs meet its revenue goals. 2. Identify new business opportunities where ElevenLabs' conversational AI capabilities - including ElevenAgents - can drive customer engagement, contact center automation, and operational efficiency. 3. Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers. 4. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends - particularly as they apply to regulated Belgian industries 5. Demonstrate expertise - or a strong willingness to learn - about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, IVR modernization, and in-app assistants 6. Develop and execute account strategies to expand ElevenLabs' presence within key enterprise verticals, navigating complex procurement and organizational structures. 7. Partner closely with Customer Success, FDEs and Solutions Engineering to ensure smooth onboarding, deployment, and expansion of accounts. 8. Serve as a trusted advisor to clients, educating C-suite and senior operations leaders on emerging trends in generative AI, voice interfaces, and conversational agents. Requirements - 7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms. - Proven success closing deals and managing long, complex sales cycles with multiple stakeholders across business, IT, legal, and procurement. - Well-connected in the Belgian enterprise landscape, with an existing network of senior individuals and strong executive presence and ability to build relationships at the C‑suite and board level. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Deep understanding of enterprise procurement and legal processes in Belgium, with the ability to accelerate deal velocity within complex organizational structures - Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Native or full professional proficiency in Dutch; strong English for internal collaboration Location This role is remote-first, so it can be executed from anywhere in Belgium with the ability to travel to client sites when required. #LI-remote
Commercial Counsel - Partnerships
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are seeking an experienced Commercial Counsel - Channel Partnerships & Alliances to join our US Legal Team. In this role, you will support complex commercial transactions, including SaaS, licensing, and strategic partnerships, while helping the company navigate diverse legal and regulatory frameworks in the rapidly evolving field of artificial intelligence. In the Commercial Counsel - Partnerships role specifically, you will work on partnership arrangements including ISV integrations, SI alliances, reseller channels, and strategic referral networks. You will work closely with global colleagues to provide practical, business-oriented advice that enables growth while managing risk across multiple jurisdictions. Responsibilities - Own end-to-end legal strategy and execution for ElevenLabs’ partnership ecosystem, including ISV and platform integration agreements, systems integrator and consulting partnerships, channel partner programs, reseller and distribution arrangements, marketplace agreements, embedded and OEM-style arrangements, and strategic alliance structures. - Draft, review, and negotiate commercial agreements, with a primary focus on Partnerships deals and enterprise customer contracts - Serve as the primary legal partner to ElevenLabs’ Partnerships team, providing strategic counsel that balances risk management with speed-to-market and aggressive growth objectives. - Design, maintain, and continuously improve scalable partnership templates, playbooks, approval workflows, and contracting infrastructure that enable the business to evaluate and execute deals efficiently. - Provide clear, pragmatic, and commercially focused legal advice to cross-functional teams, tailoring advice to enable responsible growth and innovation. - Contribute to scaling the Legal Team’s commercial function, fostering a collaborative, solutions-oriented team culture. - Build scalable legal infrastructure for global partner motions, including reseller frameworks, marketplace terms, partner program agreements, approval workflows, and operational playbooks. Who you are - Curious about the future of AI and emerging technologies, have a strong sense of ownership with enthusiasm for applying your legal expertise to cutting-edge products. - Experienced in navigating fast-paced, high-growth environments, with the ability to manage ambiguity and make informed, timely decisions. - Experience supporting complex partner business models including reseller, referral, MSP, OEM, embedded, white-label, and marketplace structures. - Comfortable working independently while collaborating effectively with cross-functional and global colleagues. - Proactive, business-minded, and committed to delivering practical solutions that support both compliance and commercial success. - Experience negotiating with major systems integrators and consultancies (e.g., Accenture, Deloitte, PwC, Big 4) and leading ISVs and cloud platforms. - Hunger to be exceptional at your job. What you bring - J.D. and active membership in at least one U.S. State Bar (NY preferred). - 7+ years of relevant post-qualification legal experience (in-house experience in technology or SaaS strongly preferred). - Proven track record drafting and negotiating complex technology and partnership agreements—ISV, SI, reseller, channel, marketplace, OEM/embedded, and strategic alliance arrangements. - Strong knowledge of enterprise software licensing, SaaS, data protection, and intellectual property. - Experience designing and launching channel partner, reseller, or marketplace programs from the ground up. - Excellent communication, stakeholder management, and problem-solving skills. - Comfort in fast-paced environments with shifting priorities and tight deadlines Location This role is remote and can be executed in the United States. We have a strong preference for the Eastern Time Zone, ideally New York. #LI-Remote
Account Executive - UK/I - Enterprise
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. We’re looking for an experienced, motivated Enterprise Account Executive to drive ElevenLabs' growth in FTSE 100 and large-scale enterprises across the United Kingdom and Ireland. Our ideal candidate is passionate about the transformative possibilities of AI voice technology, and eager to act as a strategic partner - enabling organizations to leverage our industry-leading models and product to reimagine their customer experience, internal workflows, and monetization strategies. IN THIS ROLE YOU WILL: 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency 3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends 4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more 5. Develop and execute account strategies to expand ElevenLabs’ presence within key enterprise verticals 6. Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts. 7. Serve as a trusted advisor to clients, educating them on emerging trends in generative AI, voice interfaces, and conversational agents. REQUIREMENTS - 7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms. - Proven success closing seven‑figure deals and managing complex sales cycles with multiple stakeholders. - Deep understanding of enterprise procurement and legal processes, with ability to accelerate deal velocity. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Strong executive presence and ability to build relationships at the C‑suite and board level. - Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale
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