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Location: Boston, MA; New York, NY Workplace: OnSite 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 This role is based onsite in Boston, MA. We are looking for a Senior Backend Engineer to join our growing engineering team in Boston. In this role you will be building the backend systems that power LangSmith, LangChain’s observability and evals platform. You will work on the core services that allow our customer's developer teams to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be valuable. WHAT YOU'LL DO: - Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows. - Collaborate on architectural decisions to ensure systems are performant and maintainable. - Optimize storage and query performance for high-volume observability and evaluation data. - Ensure system reliability through strong testing, monitoring, and alerting practices. - Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes. - Create and maintain technical documentation, including system design and API references. - Work closely with full-stack engineers, product managers, and product designers on rolling out new features. WHAT YOU'LL BRING: - 4+ years of professional experience in backend engineering working on highly complex products - Proficiency in one or more backend languages/frameworks, ideally Python and/or Go - Strong understanding of API design and building reliable data services. - Experience with high-throughput, mission-critical systems. - Demonstrated ability to optimize backend services for performance and reliability. - Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure) would be a bonus. - Strong communication skills, with the ability to collaborate cross-functionally. - Customer centricity and ownership mentality Annual salary range: $170,000- $235,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We're hiring a Frontend Developer to join our Developer and AI user interface team, where you'll build the controls and workflows that give developers and security teams visibility over how machine workloads, CI/CD pipelines, and AI agents access credentials at runtime. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - 2+ years of experience in frontend software development; strong TypeScript fundamentals and experience with React or a comparable component-based framework - Experience contributing to features end-to-end, from API contract through component implementation and unit tests - Experience building complex form flows, including multi-step wizards, validation, error states, and async operations with sequential API calls and robust failure handling - You care deeply about code quality and visual craft. You sweat the details, review work critically, and hold a high bar for what ships - Working knowledge of accessibility fundamentals including keyboard navigation, ARIA, and screen reader considerations - Familiarity with i18n workflows, including static string extraction and integration with a localization system - Comfortable working iteratively. That means managing ambiguity, communicating progress clearly, and coordinating with cross-functional teams throughout the development cycle Bonus points for: - Experience with Electron or other desktop-targeted web runtimes - Working knowledge of GraphQL — writing queries and mutations, managing fetch/refetch behavior with Apollo Client What you can expect: - Build UI for a developer-facing secrets management product, including CI/CD integrations, workload identity flows, and environment configuration - Contribute to the auth prompt and autofill experience that users interact with every day across desktop and web surfaces - Build new product surfaces including multi-step setup wizards, list/detail pages, and admin policy controls, implementing from Figma designs through to production-ready components - Ship features incrementally, working collaboratively from scoping through launch, with visibility controls and policy checks shaping what different users see - Follow established design system guidelines and contribute to component patterns, with component tests required alongside every feature as part of the PR process - Collaborate with product, design, and infrastructure partners throughout the full development lifecycle, from planning and estimation through launch and iteration - Review code and share knowledge with teammates, contributing to a team culture of high standards and constructive feedback - Contribute to and maintain documentation on code processes, systems, and decisions to support team knowledge and scalability - Participate in a rotating on-call schedule shared across the team USA-based roles only: The annual base salary for this role is between $123,000 USD and $172,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $111,000 CAD and $155,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Ключевая миссия CTO: построить инженерную организацию нового поколения. Ожидается построение AI Native Engineering Organization, внедрение AI PDLC как основного процесса разработки, организация работы автономных Tiny Teams, создание культуры постоянных экспериментов и быстрого вывода гипотез в продукт, широкое использование AI для автоматизации инженерной деятельности, сокращение времени полного цикла Idea → Prototype → MVP → Production, формирование инженерной культуры с акцентом на скорость обучения и внедрения инноваций. Задачи: — Определять и реализовывать технологическую стратегию направления совместно с Product Lead и бизнесом; — Отвечать за разработку и развитие ключевых продуктов направления: мобильного приложения нового поколения, AI-помощника, платформы персонализированного риск-профиля и интеллектуальных сервисов повышения качества и продолжительности жизни; — Формировать AI Native инженерную организацию для высокой скорости вывода новых продуктов и функций; — Внедрять современные практики AI PDLC на всех этапах жизненного цикла AI-продуктов; — Организовывать эффективный процесс исследований (R&D), быстрого прототипирования и проверки продуктовых гипотез; — Руководить несколькими автономными инженерными командами (Tiny Teams), обеспечивая их эффективность и ответственность; — Развивать практики агентной разработки (Agentic AI), AI Coding и использование AI-инструментов для автоматизации инженерной деятельности; — Формировать масштабируемую архитектуру AI-first продуктов для быстрого внедрения новых моделей, сервисов и сценариев; — Управлять архитектурой решений, техническим долгом и технологическими рисками; — Обеспечивать надежность, масштабируемость, наблюдаемость и безопасность сервисов промышленного уровня; — Развивать инженерную культуру, основанную на автоматизации, непрерывном обучении, экспериментах и улучшении процессов; — Формировать технологический roadmap направления и обеспечивать достижение бизнес- и продуктовых целей. Требования: — Опыт руководства несколькими инженерными командами разработки от 2 лет; — Опыт создания и развития современных цифровых продуктов с высокой скоростью поставки изменений; — Опыт формирования и реализации технологической стратегии продукта; — Практический опыт построения архитектуры мобильных и backend-продуктов промышленного уровня; — Опыт управления архитектурой, качеством разработки и техническим долгом; — Практический опыт внедрения AI PDLC или аналогичных процессов разработки AI-продуктов; — Глубокое понимание жизненного цикла AI-продуктов: Data → Prompt → Model → Evaluation → Production → Monitoring → Continuous Improvement; — Понимание современных подходов к разработке LLM-приложений, Agentic AI, Multi-Agent Systems, Tool Calling, MCP, Workflow Orchestration и Retrieval-Augmented Generation (RAG); — Практический опыт применения современных AI-инструментов разработки (Cursor, Claude Code, GitHub Copilot и др.); — Опыт построения процессов R&D, быстрого прототипирования и проверки продуктовых гипотез; — Опыт организации работы автономных инженерных команд (Tiny Teams); — Опыт разработки мобильных приложений и высоконагруженных backend-сервисов; — Понимание принципов построения персонализированных цифровых сервисов и работы с пользовательскими данными; — Понимание современных практик DevSecOps, CI/CD, Observability и Platform Engineering; — Опыт эффективного взаимодействия с продуктовой командой и бизнесом. Будет преимуществом: — Опыт создания AI-first продуктов на базе современных LLM; — Опыт построения агентных платформ или мультиагентных систем; — Опыт внедрения AI Native Engineering в инженерной организации; — Опыт организации процессов AI Quality Engineering, Continuous Evaluation и AI Observability; — Опыт создания персонализированных рекомендательных систем; — Опыт разработки AI Copilot, AI Assistant или AI Agent продуктов; — Опыт работы в MedTech, HealthTech, Digital Health или Wellness; — Опыт создания мобильных consumer-продуктов с высокой ежедневной активностью пользователей (DAU/MAU); — Понимание современных подходов Product Discovery, Experiment Driven Development и Lean Startup. Условия: — Формат: Гибридный (от 2-х дней в неделю, м. Технопарк); — Бесплатный доступ к телемедицине и очным приемам в частных клиниках (включая стоматологию и сессии с психологами); — Условия ипотечного кредитования от Сбербанка; — Индивидуальный план развития; — Обучение: английский с корпоративным преподавателем, скидки на курсы в Skyeng, компенсация обучения от ведущих платформ; — Официальное оформление, стабильные выплаты, оплата больничного и отпуска, современная техника; — Частичная компенсация спортивного абонемента, бесплатные занятия сквошем и футболом.

Ключевая миссия CTO: - Построение AI Native Engineering Organization; - Внедрение AI PDLC как основного процесса разработки; - Организация работы автономных Tiny Teams; - Создание культуры постоянных экспериментов и быстрого вывода гипотез в продукт; - Широкое использование AI для автоматизации инженерной деятельности; - Сокращение времени прохождения полного цикла Idea → Prototype → MVP → Production; - Формирование инженерной культуры, где скорость обучения и внедрения инноваций становится ключевым конкурентным преимуществом. Задачи: - Определять и реализовывать технологическую стратегию направления совместно с Product Lead и бизнесом; - Отвечать за разработку и развитие ключевых продуктов направления: мобильного приложения нового поколения, AI-помощника, платформы персонализированного риск-профиля и интеллектуальных сервисов повышения качества и продолжительности жизни; - Формировать AI Native инженерную организацию, обеспечивающую высокую скорость вывода новых продуктов и функций; - Внедрять современные практики AI PDLC на всех этапах жизненного цикла AI-продуктов — от идеи и исследований до промышленной эксплуатации; - Организовывать эффективный процесс исследований (R&D), быстрого прототипирования и проверки продуктовых гипотез; - Руководить несколькими автономными инженерными командами (Tiny Teams), обеспечивая их высокую эффективность и ответственность за конечный результат; - Развивать практики агентной разработки (Agentic AI), AI Coding и использования AI-инструментов для автоматизации инженерной деятельности; - Формировать масштабируемую архитектуру AI-first продуктов, обеспечивающую быстрое внедрение новых моделей, сервисов и пользовательских сценариев; - Управлять архитектурой решений, техническим долгом и технологическими рисками; - Обеспечивать надежность, масштабируемость, наблюдаемость и безопасность сервисов промышленного уровня; - Развивать инженерную культуру, основанную на автоматизации, непрерывном обучении, экспериментах и постоянном улучшении процессов; - Формировать технологический roadmap направления и обеспечивать достижение бизнес- и продуктовых целей. Требования: - Опыт руководства несколькими инженерными командами разработки от 2 лет; - Опыт создания и развития современных цифровых продуктов с высокой скоростью поставки изменений; - Опыт формирования и реализации технологической стратегии продукта; - Практический опыт построения архитектуры мобильных и backend-продуктов промышленного уровня; - Опыт управления архитектурой, качеством разработки и техническим долгом; - Практический опыт внедрения AI PDLC или аналогичных процессов разработки AI-продуктов; - Глубокое понимание жизненного цикла AI-продуктов: Data → Prompt → Model → Evaluation → Production → Monitoring → Continuous Improvement; - Понимание современных подходов к разработке LLM-приложений, Agentic AI, Multi-Agent Systems, Tool Calling, MCP, Workflow Orchestration и Retrieval-Augmented Generation (RAG); - Практический опыт применения современных AI-инструментов разработки (Cursor, Claude Code, GitHub Copilot и др.); - Опыт построения процессов R&D, быстрого прототипирования и проверки продуктовых гипотез; - Опыт организации работы автономных инженерных команд (Tiny Teams); - Опыт разработки мобильных приложений и высоконагруженных backend-сервисов; - Понимание принципов построения персонализированных цифровых сервисов и работы с пользовательскими данными; - Понимание современных практик DevSecOps, CI/CD, Observability и Platform Engineering; - Опыт эффективного взаимодействия с продуктовой командой и бизнесом. Преимущества: - Опыт создания AI-first продуктов на базе современных LLM; - Опыт построения агентных платформ или мультиагентных систем; - Опыт внедрения AI Native Engineering в инженерной организации; - Опыт организации процессов AI Quality Engineering, Continuous Evaluation и AI Observability; - Опыт создания персонализированных рекомендательных систем; - Опыт разработки AI Copilot, AI Assistant или AI Agent продуктов; - Опыт работы в MedTech, HealthTech, Digital Health или Wellness; - Опыт создания мобильных consumer-продуктов с высокой ежедневной активностью пользователей (DAU/MAU); - Понимание современных подходов Product Discovery, Experiment Driven Development и Lean Startup. Условия: - Формат: гибридный (от 2-х дней в неделю, м. Технопарк); - Бесплатный доступ к телемедицине и очным приемам в частных клиниках (включая стоматологию и сессии с психологами); - Условия ипотечного кредитования от Сбербанка; - Индивидуальный план развития; - Обучение английскому языку с корпоративным преподавателем, скидки на курсы в Skyeng, компенсация обучения от ведущих платформ; - Официальное оформление, стабильные выплаты, оплата больничного и отпуска, современная техника; - Частичная компенсация спортивного абонемента, бесплатные занятия сквошем и футболом.

Location: Boston, MA Workplace: OnSite 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: $220,000- $270,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: London, England Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is growing our team of passionate people on a mission to make design accessible to all. Born on the Web , Figma helps entire product teams brainstorm , create, test, and ship better designs, together. From great products to long-lasting companies, we believe that nothing great is made alone - come make with us! Figma is looking for a Director, SMB Sales (EMEA) to join our growing Global Commercial organization. As Director of SMB Sales, EMEA, you'll lead a team of frontline managers and Account Executives responsible for helping growing businesses adopt Figma's Organization and Enterprise plans. Reporting to the VP of Commercial Sales, you'll play a critical role in scaling a high-volume, specialized sales motion while partnering closely with leaders across the Americas and JAPAC to drive consistency, share best practices, and evolve how we serve SMB customers globally. This is an opportunity to shape the next chapter of one of Figma's fastest-growing businesses, leading a talented team while influencing strategy across Sales, Marketing, Operations, Enablement, and Product. At Figma, we value leaders who think creatively, challenge the status quo, and build teams that consistently raise the bar for customer experience and business impact. This is a full time role that can be held from one of our EMEA hubs. What you'll do at Figma: Lead, develop, and inspire a team of frontline managers and Account Executives, building a high-performing culture focused on coaching, accountability, and customer impact. Scale the EMEA SMB business by driving operational excellence across forecasting, pipeline management, inspection, and execution against revenue goals. Partner with SMB leaders across the Americas and JAPAC to build a globally consistent sales motion, sharing best practices and raising execution standards across regions. Recruit, hire, and develop exceptional sales leaders while building a strong internal pipeline of future Mid-Market leaders and second-line managers. Coach managers through forecast reviews, pipeline inspections, deal strategy, call coaching, and performance management to improve both team execution and customer outcomes. Use data to identify opportunities, test new strategies, and continuously improve the SMB sales motion, including territory design, pipeline generation, productivity, and conversion. Partner closely with Operations, Enablement, Marketing, Solutions Consulting, Customer Experience, and Product to influence the evolution of the SMB business and improve how we serve customers globally. Serve as an executive sponsor for strategic customer opportunities while representing the voice of EMEA in the continued evolution of Figma's global SMB strategy. We'd love to hear from you if you have: 8+ years of experience leading SaaS sales organizations, including at least 4 years in sales management. You’ve managed frontline leaders and spent at least 2 years in a second-line leadership role. You’ve led distributed sales teams across multiple countries and understand the differences between EMEA markets. Comfortable balancing long-term strategy with the realities of day-to-day execution. Built and scaled teams of Sales Managers and Account Executives in a high-growth company. Ideally, you also have experience with SMB or Commercial SaaS sales, particularly in a product-led growth business. You know how to coach leaders, develop talent, and create inclusive teams that perform consistently. You’ve exceeded revenue targets while improving forecasting and building dependable sales processes. Confident using data to make decisions and have worked closely with Marketing, Operations, Enablement, Product, and other go-to-market teams. While it’s not required, it’s an added plus if you also have: Experience using or working with Figma, or other UX/UI experience Additional European language fluency (e.g. French, German, Spanish) Experience with Command of the Message or MEDDIC/MEDDICC sales methodology Background scaling teams across multiple EMEA markets simultaneously At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, CA; New York, NY Workplace: OnSite 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 Infrastructure team builds and maintains the systems that power LangChain’s developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence. About the Role We’re hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You’ll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You’ll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites. Location: In person 5 days/week in San Francisco, CA or New York, NY What You'll Do - Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm) - Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites - Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates - Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards - Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection - Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems - Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests Example projects you might own - A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants - A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release - A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake What You'll Bring - 3+ years of experience as a software engineer or infrastructure engineer - Strong hands-on experience with Python and testing frameworks such as pytest - Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability - Solid understanding of API testing, mocking/stubbing, and data setup/teardown - Comfort defining quality standards, writing test plans, and driving cross-team execution Nice to Have - Experience with load and performance testing tools such as k6 - Familiarity with observability tooling such as Datadog or OpenTelemetry - Experience testing services running on Kubernetes and containerized environments - Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management - SQL fluency for validating data (Postgres, ClickHouse, BigQuery) - Familiarity with Go, Node, or React for targeted white-box tests and improving system testability Compensation - Annual salary range: $165,000- $250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: London, England Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for a Manager, Mid-Market Sales to join our dynamic team of creatives, engineers, marketers, and forward-thinking business folks. As our Manager Mid-Market Sales, you will lead a team of Account Executives in the NEMEA region responsible for continuing the growth of our Enterprise product. You will report directly to our Director, Commercial Sales. With this role you’ll be part of scaling NEMEA in a fast growing sales org. You’ll collaborate with our existing customer base and potential customers in driving meaningful relationships that add value to the customer experience and revenue to our bottom line. This is a full time role that will be held from our London office. What you'll do at Figma: Create and manage a team of motivated and diverse individuals to foster an environment of success Participate in customer and prospect meetings Assist in continual training and development, including mentorship, hiring and career growth Help craft and further develop sales processes and initiatives Interview, hire and train new team members as we scale the business and company Deliver weekly forecast meetings and mentor Account Executives on strategies to help exceed their goals We’d love to hear from you if you have: 7+ years of sales experience (preferably within SaaS) with 3+ years of management experience Understanding of our technical and competitive landscape and ability to thrive in a constantly evolving environment Fluency in German Excitement for growing customer happiness and developing lasting customer relationships Proven track record of leading successful and consistent sales team. Outstanding coaching, writing, discovery and presentation skills While it’s not required, it’s an added plus if you also have: Additional years of management experience within a SaaS company Experience using or working with Figma, or other UX/UI experience Ability to thrive in a constantly changing and evolving environment Experience with Command of the Message or MEDDIC sales methodology At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: São Paulo, Brazil Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We’re looking for an Executive Assistant to support (2) of Figma’s Sr. Directors, Sales - LATAM + DACH. This role strategically manages the day-to-day administrative and operational needs of the LATAM + DACH businesses, while also contributing significantly to projects and initiatives that help drive the company’s priorities. We are looking for an experienced Executive Assistant who has supported at a VP level in complex global markets. This is a full-time role based in our São Paulo hub and requires fluency in both Portuguese and English. What you’ll do at Figma: Manage Sr. Directors’ calendars, meetings, expenses, and business travel arrangements Brief and prepare Sr. Directors ahead of key meetings, calls, and events, including confidential reports and materials Coordinate Senior Management meetings, including agendas, materials, action items, and follow-up Lead planning and execution of monthly and quarterly meetings and in-person leadership offsites, coordinating content, slides, venues, and stakeholders Build executive materials using Figma, Figma Slides, and FigJam Act as a key liaison between Sr. Directors, their leadership teams, and the wider LATAM + DACH teams Work alongside the Sales EA team and greater EA team to provide some support for logistics of internal events, team offsites and external events Evolve and create processes for efficiency and global alignment We'd love to hear from you if you have: 4+ years of experience in an administrative or support role Fluent in both Portuguese and English, with strong communication skills across a wide range of stakeholders Thrive in fast-paced environments and adapt quickly to changing priorities and demands Expert at prioritizing, anticipating needs, and handling sensitive information with discretion and confidentiality Bring a positive, reliable approach and foster an inclusive environment where others can thrive While it’s not required, it’s an added plus if you also have: Previous experience supporting customer facing teams and/or sales Experience supporting senior leadership at fast paced SaaS companies At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. #LI-JB6 At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week. Preferred locations: USA Why this job is exciting Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The Code Understanding team owns the surfaces where that intelligence meets the developer: Deep Search , our agentic, multi-step answer engine across an enterprise's entire lineup of codebases, Query Assist , turning natural language queries into Sourcegraph query syntax, Smart Hovers , concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day. Most of what makes those surfaces tick is agent engineering : a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the staff ML and agent engineer on Code Understanding , you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models. This is a staff-level role : we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before. Concretely, you'll own work like: Agentic systems. You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale. Pragmatic use of evaluations. Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence. Models: selection, upgrading, and training. You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call. Retrieval and context engineering. You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable. Cost and latency. Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably. You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work. 📅 Within one month, you will… Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval. Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them. Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next. Join the team's on-call support rotation. 📅 Within three months, you will… Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement. Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them. Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts. 📅 Within six months, you will… Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions. Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before. Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them. About you You are a staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems . This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it. You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship. You have personally owned a production model lifecycle. You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version. You build agents, fluently and opinionatedly. You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required. You have strong evaluation judgment. You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading. You treat cost and latency as product constraints. You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model. You operate autonomously on ambiguous problems. Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end. You contribute beyond your domain. As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives. You up-level the people around you. You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job. You're customer and product-driven. You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray. You're pragmatic, not a perfectionist. You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity. On the engineering fundamentals: You're a strong software engineer who can ship production services. You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there. You're fluent with agentic coding tools, and you understand and own every line it submits. You're comfortable in an async-first, multi-service, fast-paced remote environment. Nice-to-haves: You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently. You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production. Experience with retrieval, ranking, embeddings, or search relevance. Experience working directly with enterprise customers and translating their needs into a product. Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency. Level 📊 This job is an IC4. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an open and transparent company, our compensation philosophy and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive. Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone. 💰 The starting salary for the IC4 pay band in each zone is: Zone 2: $176,000 USD Zone 3: $132,000 USD Zone 4: $88,000 USD 📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 5.5 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [30m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [60m] Resume Deep Dive [60m] System Design [60m] Harden a Code Research Agent Interview [60m] Cross-functional team collaboration / Values 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE: We're hiring a Product Partnerships Manager to own Replit's most important strategic partnerships end-to-end: from identifying the opportunity to shipping the outcome and measuring the impact. This is a product-focused role where you will work with our consumer technology partners, such as Stripe, Shopify, Google, and the broader connector ecosystem. You'll work at the intersection of product strategy, ecosystem thinking, and deal execution. You'll need to be a serious Replit power user. You'll speak credibly with engineers. You'll negotiate with senior partner stakeholders. And you'll be the person accountable for turning ambiguous ecosystem opportunities into shipped product and business outcomes. WHAT YOU'LL DO - Develop a clear point of view on Replit's partner landscape and build a prioritized pipeline of high-leverage opportunities across consumer tooling, AI tooling, cloud and infrastructure, and payments technology partners. - Lead partner conversations from early exploration through joint product thesis, business case, commercial terms, launch plan, and post-launch iteration. - Partner with Product, Engineering, Partner Engineering, Legal, Finance, Marketing, and Sales to turn agreements into shipped outcomes. - Work directly with Partner Engineers to scope integrations, demos, prototypes, reference apps, and partner enablement assets. - Define success metrics before every launch activation: retained usage, apps created, deployments, revenue, partner-sourced users, and use them to decide when to scale, iterate, or sunset a partnership. - Build lightweight operating systems: partner scorecards, launch checklists, partner roadmap tracking, and repeatable frameworks for evaluating new opportunities. - Represent the partner internally with strong product judgment; inform roadmap changes only when they create clear leverage for Replit users. WHO YOU ARE You're probably one of these: - A product partnerships or BD person from a developer platform, AI platform, API company, cloud platform, or builder tool. - A former PM or founder who can sell and negotiate externally while staying close to the product. - A technical ecosystem operator who has shipped integrations, partner programs, or AI-native workflows. In all cases, you're a builder. You can open Replit and put together a credible demo. You're not expected to write production integration code but you need enough technical depth to scope the work, ask the right questions, and earn trust with engineers. REQUIRED SKILLS & EXPERIENCE - Experience sourcing, structuring, negotiating, and launching strategic partnerships. - Strong product judgment: you can explain why a partnership should or shouldn't influence the roadmap. - Technical fluency with APIs, auth, cloud and deployment, databases, LLMs, agents, and developer workflows. - Hands-on familiarity with Replit or comparable AI-native developer tools; ability to build credible demos and prototypes. - Ability to run an ambiguous, multi-party process from discovery through signed agreement, launch, and measurement. - Credibility with both senior external partners and internal engineers. - Strong written and verbal communication.   BONUS QUALIFICATIONS - Background in AI, developer tools, cloud infrastructure, API companies, or creative/productivity software. - Experience with MCP-style integrations, agent workflows, or AI model/tooling ecosystems. - Founder, PM, DevRel, solutions engineering, or technical BD background This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a Security Scientist, you will leverage your data analysis skills and help identify and drive impactful projects to improve the safety and security of Figma's product, platform, and our IT systems. The mission of the Figma Security team is to help Figmates ship the most secure and safe product to our users. We are looking for security scientists with a strong grasp of security and anti-abuse fundamentals. You will partner closely with teams in Security Engineering as well as teams across the company to focus on systemic security and safety improvements and risk reduction. You will also apply your security expertise and analytical skills to support and participate in security design reviews and consulting, incident response, and risk management. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Collaborate cross-functionally across the company to understand existing security and anti-abuse problems and work with engineering, product, data science, and other teams on solutions Understand attacker and user behavior on the Figma platform and inside Figma through creation of new datasets, metrics, experimentation, etc., and guide strategy and decision making Build detections, tune signal quality, and measure coverage across Figma's products, platforms, and internal systems, turning attacker behavior into durable, data-driven detections Lead and support security investigations, developing the datasets, tooling, and analysis that help us scope incidents, understand root cause, and reduce time to detect and respond Translate threat intelligence into action, operationalizing intel on relevant threat actors and techniques to prioritize detection coverage, harden high-risk surfaces, and guide security strategy Conduct investigations and design reviews to identify current and new attack vectors against Figma products and services Advocate for security and secure practices throughout Figma We'd love to hear from you if you have: Strong understanding of real-world security, anti-abuse, and detection and response challenges Fluency in SQL, with proficiency in Python, R, or a similar scripting language Experience working with distributed data processing systems and frameworks such as Hive, Redshift, Presto, Snowflake, or Spark Strong knowledge of statistical methods and experimental design Excellent judgment and creative problem-solving skills While it's not required, it's an added plus if you also have: A self-starting mindset along with strong communication and collaboration skills At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $348,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, CA; New York, NY Workplace: OnSite 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 San Francisco, New York City, Austin and Chicago 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. How to be successful in this role: - 4+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred) - 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: - Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, life insurance, lunch & dinner for employees in our SF and NYC offices, and more - Annual salary: $280,000 OTE Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: London, United Kingdom WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE As a Manager of Forward Deployed Engineering on Notion’s Services team, you will lead a team responsible for the hands-on technical delivery of our most complex customer engagements. Your team will design, build, and deploy production-ready solutions that help enterprise customers integrate Notion as the operating layer for their business. You will combine people leadership, technical judgment, and customer-facing delivery. You will coach Forward Deployed Engineers through discovery, architecture, implementation, and launch while remaining close enough to the work to guide difficult technical decisions, unblock delivery, and build trust with senior customer stakeholders. The team’s work includes custom code, production-grade agents and AI workflows using MCP, Agent APIs, and Notion’s automation and execution infrastructure, as well as integrations, data pipelines, enterprise migrations, and complex challenges involving scale, permissions, and governance. You will help establish how Services delivers complex technical implementations across EMEA. This includes building a high-performing team, improving delivery standards and reusable technical assets, partnering with Sales, Product, CX, and Engineering, and turning lessons from customer deployments into product and platform improvements. WHAT YOU'LL ACHIEVE - Lead, coach, and develop a team of Forward Deployed Engineers delivering complex enterprise customer engagements across EMEA. - Create a high-performance team environment with clear expectations, strong technical standards, effective feedback, and meaningful career development. - Own the quality and outcomes of engagements from technical discovery and requirements gathering through solution design, implementation, launch, and handover. - Act as a trusted technical and delivery advisor to customer engineering, IT, security, and business leaders, helping them make informed architectural decisions and deepen their use of Notion. - Guide the design, build, and operation of custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows. - Oversee large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, cutover, and post-migration optimization. - Review technical designs and implementation plans, identify delivery risks early, and step in directly when an engagement requires senior technical leadership. - Partner with Sales and Services leaders on qualification, feasibility, scoping, effort estimation, staffing, and delivery planning for strategic opportunities. - Balance customer priorities, team capacity, and technical complexity to make sound staffing and sequencing decisions. - Help define and scale the operating model for Forward Deployed Engineering, including hiring, onboarding, delivery methodologies, quality reviews, documentation, and engineering best practices. SKILLS YOU'LL NEED TO BRING - 8+ years of experience in forward deployed engineering, solutions engineering, professional services, customer engineering, software engineering, or a similar hands-on technical role. - 2+ years of experience managing, coaching, or leading engineers responsible for customer-facing technical delivery. - A strong track record of hiring, developing, and retaining high-performing technical teams. - Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python, with the technical depth to review production-quality code and guide implementation decisions. - Hands-on experience with APIs, integrations, authentication, data transformation, and production systems. - Experience leading technical discovery, assessing feasibility, identifying risks, scoping work, estimating effort, and translating ambiguous requirements into executable plans. - Strong architectural judgment and debugging skills, with the ability to isolate root causes across code, APIs, permissions, integrations, data quality, automation logic, system limits, and customer-specific environments. - Demonstrated success managing multiple complex customer engagements while maintaining quality, team health, and clear stakeholder communication. - Strong written and verbal communication skills, with the ability to influence technical and business audiences from practitioners through executive stakeholders. - A customer- and outcomes-oriented approach, with sound judgment about when to standardize, when to customize, and how to manage tradeoffs. NICE TO HAVES - Experience building or scaling a Forward Deployed Engineering, professional services, or customer engineering function in a startup or high-growth environment. - Experience deploying AI agents in complex coding or business workflows. - Experience designing or implementing AI-powered workflows involving MCP, APIs, LLM applications, prompt engineering, retrieval or RAG systems, or workflow orchestration. - Experience with ETL or ELT workflows, schema mapping, validation scripts, and large-scale content or data migration tooling. - Experience partnering with product and engineering teams to influence roadmaps or architectural decisions based on customer implementation needs. - Experience supporting pre-sales and early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, prototypes, and custom scripts. - Experience establishing technical delivery standards, quality review processes, discovery methodologies, or internal engineering tooling from the ground up. - A strong track record of successful enterprise implementations across multiple industries or regions. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a Technical Account Manager (TAM), you will serve as a trusted technical advisor to some of Figma's largest enterprise customers, working closely with customer enablement, sales, and product teams to guide sophisticated implementations involving identity systems, APIs, integrations, governance, and extensibility. This role sits at the intersection of customer success, enterprise architecture, and developer workflows, with a goal of reducing technical risk, accelerating adoption, and ensuring customers are set up for long-term success. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Serve as a strategic technical advisor for enterprise customers, helping them adopt and scale Figma in alignment with their business and technical goals Lead structured technical engagements that assess customers’ current environments, identify risks or gaps, and provide clear, prescriptive guidance for successful implementation Guide customers through enterprise API usage and system integrations, helping them extend Figma’s capabilities within their broader technology ecosystems Partner with developer teams to improve design-to-code workflows, including Dev Mode adoption, extensibility initiatives and other emerging platform capabilities (Code to Canvas) Deliver technical workshops and training sessions to help customers confidently use sophisticated platform features Collaborate cross-functionally with sales, customer experience, and product teams to ensure customers receive cohesive and high-impact technical guidance Surface technical insights and opportunities that support renewals, expansion, and long-term account growth Build strong relationships with technical stakeholders and executive sponsors by clearly translating technical concepts into business value We'd love to hear from you if you have: 5+ years of experience in technical account management, solutions engineering, enterprise customer success, or a related technical advisory role within a SaaS organization A solid understanding of enterprise systems, APIs, integrations, development frameworks and identity management frameworks Experience advising on or implementing AI-powered solutions within enterprise environments, including evaluating architectural considerations, governance requirements, and integration strategies for emerging AI technologies Superb communication skills and the ability to confidently engage both technical and non-technical audiences A consultative mentality and a passion for navigating multiple stakeholders within complex customer environments helping tackle technical challenges While it’s not required, it’s an added plus if you also have: Familiarity using Figma or other design and developer collaboration tools Understanding how to tailor AI output through the use of guidelines and skills to enrich context for MCP servers and LLMs A background in frontend development or familiarity with design-to-code workflows Delivered technical workshops, enablement sessions, or advisory services in past roles At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $296,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco; Seattle; New York City Workplace: Hybrid ABOUT MOTHERDUCK Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans. ABOUT THE ROLE We're looking for a creative yet technical marketer... someone who can write the ad copy, build the segment, run the test, and then navigate based on the quantitative signals. You'll own growth end to end: paid, organic, lifecycle, experimentation, across every channel we touch, not just one lane. Right now the biggest opportunities on our plate are: - Conversion hacking across the site and landing pages - Webinars, from topic strategy and audience segmentation through to pipeline and signup conversion - Social hacking, working alongside product marketing and DevRel - AEO (answer engine optimization) - Re-engagement audience hacking for people who've gone quiet - Segment testing at scale, from lookalikes to usage-pattern and conversion-pattern based audiences, feeding Google, Meta, LinkedIn and beyond But the role isn't limited to that list. You'll have a hand in every part of growth and lifecycle marketing, and you're expected to bring your own ideas about where the next win is, not just execute a queue. WHAT YOU'LL DO Own the full funnel - Work both motions: self-serve signups that need to activate and convert, and accounts that need to become sales-qualified pipeline. Neither one is a side project. - Take plays from spec to live: audience, signal, message, channel, landing page, conversion. You get support on strategy and full ownership of execution. Run experiments like they matter - Define the metric, the guardrail, and the sample size before anything ships, not after the data looks interesting. - Do your own analysis: cohort curves, funnel step conversion, segment cuts, time-to-activation, cost per activated account, cost per SQA. SQL against the warehouse, not a screenshot of a dashboard. - Know the difference between a real lift and noise, and say so out loud, even when it's your own play that lost. Build with agents, not just tools - Build agent workflows daily: research, list building, lookalike testing, personalization, creative variants, landing page drafts, competitor monitoring, post-test analysis. - Point agents at our stack (Clay, HubSpot, Apollo, our marketing MCP) so plays run with you supervising, not clicking through every step. - Prototype fast and for real: a scraper, a scoring pass, a signal listener, a one-off page, instead of scoping it out to someone else. Segment and test relentlessly - Wire intent signals (Clay intent, product usage, DuckDB and community activity, job changes, hiring and tooling signals) into plays that feed both self-serve signup and pipeline. - Build LinkedIn and other channel automations: engage motions, Clay-synced ad audiences, retargeting off product and content behavior. - Run a real volume of tests across the funnel: landing pages, signup flow, activation moments, lifecycle and in-product email, outbound messaging, list sources. A high test count is the job, not a sign you're thrashing. Own social, nurture, and event presence - Own social strategy end to end, including managing the social agency. - Own email nurture content and design, with your manager weighing in on strategy and voice. Scale what works, kill what doesn't - Hand proven winners to marketing ops to productionize, then move on to the next unproven thing. - Flag plateaus early instead of keeping a play alive just because it's yours. WHAT WE'RE LOOKING FOR - Hands-on experience with Claude Code or similar LLM tooling. This isn't a "used ChatGPT once" bar, we mean you actually build with agents. - A resume with real quantitative results: pipeline contribution, PLG or SLG conversion metrics, cost per activated account/SQA, that kind of thing. - Cross-channel growth experience with genuine technical chops (comfortable in SQL, can run your own cohort analysis and basic stats on test results). - Background at a high-growth company (data/AI space preferred, but a Ramp-equivalent is fine too). - 1-3 years in growth, performance marketing, demand gen, or a scrappy generalist marketing role, or a track record of building growth things on your own that speaks for itself. - Great writing, and credibility with a developer and data audience. - A bias toward shipping. If you see something no one owns, that's an opening, not a blocker. WHAT PEOPLE SHOULD BE SAYING IF YOU'RE DOING DUCKING AWESOME - Your manager: "I stopped worrying about whether the test was set up right months ago." - Sales: "Growth's signals are actually why we booked that meeting." - Marketing ops: "I just productionized three of their plays this month and they're already onto the next thing." - A candidate who interviewed and didn't get the offer: "That was one of the more thoughtful processes I've been through." - You, to yourself: "That play flopped, here's exactly why, here's what I'm testing next." PLEASE APPLY Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified?  Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications. MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Location: Singapore Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is looking for a Mid-Market Account Executive to join our dynamic team of creatives, engineers, marketers and brilliant business folks. You aren’t the typical sales leader, and we aren’t the typical design tool company. At Figma we think outside the box, lift constraints that block our imagination everyday and we encourage you to do the same. With this role you’ll get in at the ground floor in a fast growing sales org. You’ll consult with our existing customer base and potential customers in driving meaningful relationships that add value to the customer experience and revenue to our bottom line. You will be responsible for targeting, building and nurturing positive relationships with key decision-makers and assisting them through their Figma evaluation and buying process of all products. This is an opportunity to accelerate your career, learn from leading sellers in the industry and be part of a founding team to shape Figma’s future in Singapore . You won’t be alone! Figma has an incredible team and you’ll work closely with other groups including Support, Design, Engineering,Product Marketing, Customer Success, and Community. You will report directly to our Manager, Commercial Sales, APAC. This is a full-time position based in our Singapore office. What you'll do at Figma: Create and manage a pipeline of Commercial accounts from inbound and outbound activity to consistently meet or surpass sales targets Apply effective discovery and value-selling techniques to build and strengthen relationships with key decision-makers in both new and existing customers (100-2000 FTE’s) Align with executives on business challenges and gain sponsorship for enterprise wide deployments for a suite of products, identifying where Figma’s roadmap and innovations fit in the long term Manage a book of business by tiering accounts, initiating outbound prospecting strategies to build and manage a pipeline of opportunities, conduct thorough analysis to create account plans that outline company priorities and initiatives, multi-thread at senior level Co-create with cross-functional partners to expertly position Figma, drive deals forward and ensure customer success Leverage opportunities to advance executive level relationships through in-person meetings and networking opportunities We'd love to hear from you if you have: 2+ years experience closing sales for a software or SaaS business with a book of customers in the SMB or Commercial space (<2000 FTEs) Demonstrated experience successfully managing high volume sales cycles (1-3 months) Mandarin speaking fluency as the role potentially covers accounts in Greater China Demonstrate using a sales methodology (preferably MEDDICC or Command of the Message) to run effective discovery and/or in creating customer value While it’s not required, it’s an added plus if you also have: Experience selling solutions to technical audiences at executive level (i.e. Engineering, Product, Design teams) Certified in deal qualification and prospect discovery At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, CA Workplace: OnSite 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: GTM Engineering builds the AI agents, systems, and automation that power how our go-to-market teams work. We partner across Sales, Marketing, Customer Success, Support, and other GTM functions to identify high-leverage problems and build solutions that improve speed, quality, and scale. Our work spans four core areas: - Identify — find high-leverage GTM workflows where AI can meaningfully improve how we operate - Build — design, build, and deploy production AI agents and automated workflows across GTM - Enable — drive adoption through thoughtful rollouts, playbooks, best practices, and ongoing enablement - Evangelize — share what we build and learn externally through content, demos, talks, and open source examples ABOUT THE ROLE: You'll own the health, cost, performance, and business impact of the GTM Agent System, and build the feedback loops that keep it improving. Because we build the platform we run on, you'll also operate the agent on LangSmith the way we tell customers to, and turn that practice into the reference story enterprises keep asking us for. You'll work across Python 3.11, FastAPI, LangGraph, DeepAgents, LangSmith, Supabase Postgres, BigQuery, Anthropic and OpenAI models, and Slack and Next.js surfaces. WHAT YOU'LL DO: - Monitor production health across every graph, catching errors, slow runs, expensive runs, and silent failures before reps report them - Triage incoming issues from Slack, tickets, and rep reports, fixing small things directly and routing the rest to the right owner - Run the weekly eval suite, investigate failures, and turn real production bugs into permanent regression tests - Track cost and latency by model, graph, use case, and role, and recommend concrete changes to model choice, reasoning effort, and caching - Track usage and adoption per rep and per feature, and own the weekly health report the team runs on - Build the business metrics that show leadership what the agent is worth, from reply rates and meetings booked to hours reclaimed and ROI - Build our own monitoring and alerting on LangSmith, and write the “how we run our own agent” story for customers WHAT YOU'LL BRING: - Strong production Python and SQL, comfortable working in traces, logs, and warehouse tables - Real experience running LLM applications, including tracing, evals, and prompt and cache mechanics - SRE or production operations instincts: percentiles, SLOs, and separating noise from real pattern - Healthy skepticism about metrics; you check what a number actually counts before you publish it - Clear writing skills, and interest in publishing what you learn - High agency; you notice what's missing and take initiative to build it NICE TO HAVES: - LangGraph or LangSmith experience - Experience building an eval suite from scratch - BigQuery or dbt - Prior DevRel-adjacent writing - Empathy for sales and go-to-market users Salary: $165,000 - $220,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.