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Location: United Kingdom; Europe; London Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. Location: UK Active DV clearance is highly preferred In this role, you will: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners You may be a good fit if: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting It's a bonus if you have: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

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Location: Atlanta, GA 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 Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $150,000–$250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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: Remote - US; Boston, MA; New York, NY Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: This role can be based remotely in the U.S. Ideally SF, NYC, or Boston. LangChain is building the infrastructure that powers the next generation of AI applications. Our tools are used by thousands of developers and teams to build, debug, and ship production-grade LLM-powered products. As our product surface area grows, so does the need for a cohesive, scalable, and high-quality UI foundation. That’s where Design Systems comes in. We’re looking for a Design Systems Engineer to help build, own, and evolve LangChain’s component library—the foundation that our frontend teams rely on to ship fast without sacrificing quality, accessibility, or consistency. This role sits at the intersection of Design and Engineering. You’ll work closely with designers, product engineers, and platform teams to turn design intent into robust, reusable components and tooling that scale across the product. You’ll have ownership, influence, and your work will be directly consumed across LangChain’s products. WHAT YOU'LL DO: - Build out LangChain’s component library - Design and implement reusable, composable React components that are flexible, accessible, and production-ready - Partner closely with designers to translate design systems, tokens, and interaction patterns into code - Build reliable UI quality systems - Develop design system tooling and improve workflows around theming, tokens, versioning, testing, and component discovery (e.g. Storybook) - Make thoughtful architectural decisions that enable accessibility, performance, consistency, and maintainability across LangChain’s UI stack - Improve UI build and test workflows - Optimize build performance, bundling strategy, and package versioning for the component library - Maintain tooling for testing, dependency management of the UI app WHAT YOU'LL BRING: - Extensive experience building modular, composable, and well-documented component libraries and/or design systems - Deep knowledge of React, TypeScript, HTML, and CSS, familiarity with: styling approaches (CSS Modules, CSS-in-JS, Tailwind, Sass, etc.) and design system toolings (Storybook, Chromatic, tokens pipelines, etc.) - Experience collaborating closely with designers and non-engineering partners - Strong attention to detail and a high bar for craft and genuine passion for accessibility and inclusive design - Familiarity with testing UI components and visual regression testing Annual salary range: $180,000 - $240,000 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: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: In this role, you are responsible for executing regional marketing strategy and independently leading programs that drive measurable business outcomes. Working within regional priorities, you are trusted to make decisions, adapt plans as conditions change, and take ownership of program performance from planning through results. Approximately 50% of your work is self-directed, requiring sound judgment, strong prioritization, and accountability for outcomes. Success in this role comes from balancing execution with strategic thinking, identifying opportunities for improvement, and sharing best practices that increase team effectiveness. You are expected to leverage AI as a core part of your work, applying it thoughtfully to improve productivity, scale repeatable processes, and enhance decision-making. This includes identifying where AI can create efficiencies, where human judgment remains essential, and developing workflows that can be adopted across the team. What makes you a Great Fit: Lead regional marketing programs from planning through execution and retrospective, including program strategy, budget management, goal setting, delivery, and performance reporting. Execute ABM and regional marketing initiatives, partnering closely with Sales and SDR teams while contributing to prioritization and program planning. Independently manage day-to-day decisions, proactively address risks, and escalate issues when appropriate. Serve as a proficient user of core marketing platforms, including Splash, Zuddl, Salesforce, and Monday.com, while identifying opportunities to improve processes and tooling. Develop and document AI-enabled workflows that improve efficiency, consistency, and scalability across marketing operations, event execution, and reporting. Identify opportunities to apply AI and automation across regional marketing programs and contribute to the development of shared team processes and best practices. Analyze program performance and translate data into actionable insights and recommendations. Plan and manage projects independently, set realistic timelines, coordinate stakeholders, and deliver on commitments. Provide guidance and support to Associates, contractors, and other team members on shared initiatives. Build expertise in Grafana's go-to-market strategy, regional marketing programs, and the ecosystem of channels, vendors, and partners that support growth. What you'll bring at this level: Located on the West Coast of the United States 3-5 years in field or regional marketing, or events, including end-to-end ownership of programs Strong project, time, and stakeholder management, with consistent attention to detail Independent proficiency with Splash, Zuddl, Salesforce, and Monday.com or similar Demonstrated experience operationalizing AI in marketing work: reusable prompts, documented processes, or lightweight automations Open source go-to-market motion and the regional market a plus Willingness to travel approximately 40% What success looks like at: The program you own runs cleanly, from start to finish, and hits its goals. You keep moving as priorities shift, without direction at each step. Problems get caught and handled before a customer ever feels them. Your reporting leaves people with a story and a lesson, not just numbers. The AI workflows you build get picked up by others, so the team produces more without adding headcount. You find and close process gaps, and the junior teammates you guide do better work for it. Compensation & Rewards: In the US, the OTE (On-Target Earnings) compensation range for this role is  $123,000 - $150,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Senior Software Development Engineer in Test with extensive industry experience to define and execute the design, development, and maintenance of Fivetran’s test automation tools and framework using reliable and scalable techniques. As a Senior SDET, you will focus on solving complex testing difficulties by designing, developing and improving automation and reporting frameworks. You will invest in improving test stability and performance of the framework by developing innovative solutions to boost Fivetran’s testing efficiency. You will also coach Fivetran quality engineers to be the best in class automation engineers, and will continuously work with the team to ensure high standards for automation. The ideal candidate will be highly technical, detail-oriented, creative, motivated, and focused on achieving results. In addition, this role emphasizes leveraging AI driven solutions to accelerate testing, enhance developer productivity, and improve operational insights, making Fivetran’s quality practices smarter, faster, and more scalable. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Languages & Frameworks: Java (17+), JUnit, REST Assured, Shell scripting; Python Infrastructure & Tooling: Docker, Kubernetes, Terraform, Bazel, Buildkite Cloud & Platform: AWS, GCP, Azure Observability & Monitoring: Grafana, Prometheus, Datadog CI/CD & Automation: Jenkins, CircleCI, GitHub Actions Data & Testing:ELT pipelines, test automation utilities, whitebox testing strategies Databases: SQL and NoSQL databases (e.g., Postgres, SAP , Oracle, DB2 ertc) What You’ll Do Review requirements, specifications and technical design documents to provide meaningful, risk-focused feedback. Design and evolve scalable automation frameworks in Java with a strong emphasis on reliability, performance, and data correctness. Write high-signal test strategies for complex features and automate them across multiple environments. Improve CI/CD pipelines by building robust validation layers that prevent silent failures and regressions. Build internal tools and proof-of-concepts using AI/LLM technologies to: Accelerate debugging and failure triaging Generate high-quality test scenarios Detect flaky patterns or regression risks Improve log analysis and root-cause identification Enhance developer and QA productivity Design AI-assisted workflows that integrate seamlessly into the existing automation and release pipelines. Experiment with and implement agent-based systems or LLM-powered tooling that streamline development and testing processes. Actively measure and improve engineering impact through reliability metrics, automation efficiency, and defect prevention signals. Collaborate with engineering teams to drive a culture of quality ownership and automation-first thinking. Collaborate with engineering and product leaders to align testing priorities and business objectives. Skills We’re Looking For 6+ years of experience in the software industry with strong passion for quality, automation, and engineering excellence. Deep understanding of OOP principles and strong proficiency in Java. Expertise in designing scalable automation frameworks and identifying negative, edge, and high-risk scenarios. Strong understanding of distributed systems risks such as schema drift, idempotency failures, data inconsistencies, and race conditions. Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes). Experience building and maintaining CI/CD pipelines with tools such as Jenkins, Buildkite. Experience working with backend automation frameworks. Testing data pipeline or ELT platforms, with hands-on exposure to Change Data Capture (CDC) mechanisms, connector-based data ingestion, and validating data accuracy and consistency across source and destination systems at scale. Deep understanding of database internals Demonstrated ability to leverage AI/LLM tools to significantly accelerate development, debugging, test design or automation activities. Experience building AI-assisted tools, workflows, or agents that integrate into engineering pipelines. Bonus Skills​ Experience testing against cloud data warehouses (Snowflake, BigQuery, Redshift) or CDC source databases (Oracle, SQL Server, PostgreSQL, MySQL) Familiarity with log-based CDC mechanisms (binlog, WAL, ) and handling schema drift or evolution scenarios. Exposure to distributed systems testing, large-scale data reconciliation, and containerized environments (Docker, Kubernetes) on cloud platforms (AWS/GCP/Azure). Familiarity with data extraction using API-based polling, batch/file ingestion, and query-based incremental syncs. #LI-HYBRID #LI-VM1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote - US About the Job: As a Staff Engineer on LaunchDarkly's product engineering team, you'll design and build the next generation platform that helps all LaunchDarkly users (human and agent) interact and use our services. Our product suite enables customers to run A/B tests, measure the impact of feature changes, and optimize experiences, and is integrated with a feature management and observability platform that processes trillions of evaluations daily. This role sits at the forefront of our next generation of user interaction with our suite of products. We have a sophisticated set of users, and we have now learned through working with them and observing their usage patterns what a major redesign can do to help give them a more pleasant, productive, and efficient experience with our products. You'll work across our entire product suite, focusing on understanding the key use cases, building the experiences and the supporting technical platform, and providing guidance and tools for other teams to be able to build better experiences more quickly. Deep technical experience, a scientific mindset, and the ability to influence product and technical direction are critical. You'll lead by example: setting the bar for rigor, mentoring teammates, and owning systems end to end, including on-call. Responsibilities: Build and design our next generation of user experiences (human and agent) across the LaunchDarkly suite. Collaborate with other product teams to ensure they have the tools and platform to build great user experiences. Mentor engineers and raise the team's bar for technical rigor and system design. Own operational excellence for the experience platform - monitoring, observability, incident response, on-call. Robust telemetry and alerting. Qualifications: 10+ years building large-scale products with sophisticated audiences that are looking for help and leverage to do complex work. Has built and designed the interfaces and supporting technology platforms in consumer-grade enterprise applications. Technical leadership: setting direction, writing specs, influencing across teams. BA/BS in mathematics, statistics, data science, or related field, or preferentially a graduate degree. Plus: Go, Python, or similar (we use Go for services, Python for stats). Plus: Event-driven architectures and large-scale data processing for high-volume event ingestion and analysis. Plus: Cloud environments (AWS, GCP) and data stores (ClickHouse, Redis, DynamoDB, Kafka, etc.). Plus: Experiment lifecycle tooling: flag–experiment integration, metric frameworks, automated monitoring. Plus: Familiarity with the competitive landscape (Statsig, Eppo, GrowthBook, Optimizely). Plus: Funnel analysis, causal inference, or Bayesian experimentation experience. Pay: Target pay ranges based on Geographic Zones* for Level 5: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870** Zone 3: All other US locations - $182,600 - $251,020** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote - US About the Job: LaunchDarkly is seeking a Senior Backend Engineer to join our Experimentation team. The Experimentation team is building one of the company’s most strategic product areas: a platform that helps leading engineering organizations move beyond intuition and make product decisions with real statistical confidence. Sitting at the intersection of large-scale systems, data science, and user experience, the team is creating a best-in-class experimentation product that lets customers set up, manage, and analyze experiments with ease while still earning the trust of even the most rigorous data teams. From warehouse-native analysis to experimentation workflows built on top of LaunchDarkly’s massive feature management scale, this team is tackling ambitious technical problems with visible customer impact and a clear opportunity to define the future of modern software experimentation. As a Senior Backend Engineer, you will design and operate the services that power this product, contribute to technical direction, and help deliver new functionality to customers. You will work closely with product managers, designers, data scientists, and engineers across LaunchDarkly to solve complex, data-intensive problems with meaningful customer impact. Responsibilities: Design, build, and operate scalable backend services and APIs that power LaunchDarkly’s Experimentation product. Own backend components across their lifecycle, including technical discovery, design, implementation, testing, deployment, monitoring, incident response, and continuous improvement. Build and evolve systems supporting experiment setup, event data ingestion, metric computation, results processing, and results presentation. Contribute to architectural decisions and technical proposals, making thoughtful trade-offs around scalability, reliability, performance, cost, and maintainability. Partner with product managers, designers, data scientists, and adjacent engineering teams to translate customer needs and product goals into reliable technical solutions. Collaborate with Data Platform, Warehouse Integrations, SDK, and other teams on shared data flows, services, and cross-team dependencies. Investigate complex production issues, identify root causes, and implement durable fixes. Improve observability, testing, deployment safety, operational processes, and the reliability of the systems you build. Participate in the team’s on-call rotation and take ownership of production systems in a you-build-it-you-run-it culture. Support teammates through thoughtful code reviews, design reviews, knowledge sharing, and informal mentorship. Qualifications: 6+ years of professional software engineering experience, including significant experience building and operating backend services in production. Fluency using AI tools in software engineering workflows, including the judgment to direct, evaluate, and validate AI-generated output. Experience designing and delivering customer-facing systems that are scalable, reliable, observable, and maintainable. Strong programming experience in Go or a comparable backend language such as Python, Rust, or C++. Our team is using Go. Experience with distributed systems, event-driven architectures, data pipelines, APIs, data modeling, or data-intensive services. Familiarity with analytical, operational, or warehouse data stores such as ClickHouse, Postgres, Snowflake, Redshift, BigQuery, Databricks, or equivalent technologies. Experience diagnosing production issues and improving system reliability through metrics, logs, traces, alerting, and other observability practices. Experience working in a cloud environment and with infrastructure-as-code or equivalent deployment and operations tooling. Ability to take an ambiguous problem from discovery and scoping through design, implementation, launch, and ongoing operation. Clear, thoughtful communication and a collaborative approach to working with technical and non-technical partners. Experience with experimentation, A/B testing, analytics, data platforms, or similarly data-intensive products. Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - $263,670** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270** Zone 3: All other US locations - $163,000 - $224,070** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Germany (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is seeking to grow our Business Value Engineer team and support defining, articulating, and quantifying business value across our products and services. As a member of the business value engineering team, you'll play a critical role in shaping the direction of this high-impact function. What You’ll Be Doing: Customer Insights : Collaborate with customers to uncover new opportunities for growth and profitability through personalized storytelling. Value Quantification : Develop compelling ROI/TCO models that identify value areas driven by new products, emerging trends, and market challenges. GTM Enablement : Enable pre/post sales teams through training, content development and support; ensuring our sales organization is equipped to showcase Grafana's value with customers. Value Storytelling : Partner with cross-functional teams to create a unified narrative that showcases Grafana's value proposition, aligning internal stakeholders and external messaging. Strategic Partnerships : Collaborate closely with Account Executives, Solutions Engineers, Observability Architects to define and articulate the business value of our products and services. What Makes you a Great Fit: Innovative Mindset : Possess a growth mindset, willing to learn new technologies and adapt quickly Value Engineering Expertise : 3-5+ years of experience in value management, consulting, or engineering; deep understanding of building quantitative and qualitative analyses. Data Storytelling Skills : Ability to analyze complex data sets, create compelling customer-facing stories, and communicate findings effectively from technical to executive level audiences. Cross-Functional Collaboration : Experience partnering with GTM leaders (Sales, Customer Success, Marketing & Finance) to define and align on Grafana's value propositions. Bonus Points For: 3+ years of Observability experience, preferably with Open Source tools like Grafana, Prometheus, or Loki Familiarity with the Open Source landscape and community If you're ready for a high-impact role that combines data analysis, storytelling, technology enablement, and partnership-building with cross-functional teams – we'd love to hear from you! Compensation & Rewards: In Germany, the OTE compensation range for this role is EUR 137,000 - EUR 164,500.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Are you the person on your team who builds the agent everyone else ends up using? We're looking for an AI Engineer to join our Training Product team and do that at Baseten. You'll build AI-driven product features for the customers training and post-training frontier models on our platform, and you'll raise the ceiling on how Baseten itself uses AI internally, turning manual workflows into agentic ones that make every other team faster. You'll work directly with our research engineers to scope and build products, taking ideas from a research loop that already works internally to something customers can run themselves. This is a hands-on role with real autonomy. You'll pick the problems worth solving, build the harnesses, execution flows, and guardrails that make AI systems reliable, and own the results. If you've been shipping agents and want that to be the job, let's talk. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our team: - Baseten Training: an autoresearch substrate https://www.baseten.co/blog/baseten-training-an-autoresearch-substrate/ - Introducing Baseten Loops https://www.baseten.co/blog/introducing-the-baseten-loops-sdk/ - Harnesses are everything. Here's how to optimize yours. https://www.baseten.co/blog/harnesses-are-everything-heres-how-to-optimize-yours/ - Building with NVIDIA Nemotron 3 Ultra and LangChain Deep Agents Code on Baseten https://www.baseten.co/blog/nvidia-nemotron-3-ultra-and-langchain-deep-agents-on-baseten/ RESPONSIBILITIES - Build and ship agentic product experiences, including chat-style and assistant-like interfaces, from prototype to GA. - Design the harnesses, execution flows, and guardrails that make AI systems reliable in production. - Build internal automation and AI tooling that measurably increases the velocity of engineering, research, and go-to-market teams. - Partner with research engineers to scope product opportunities out of internal research workflows and turn them into customer-facing features. - Define and instrument evals so you know whether a change actually improved output quality. - Work throughout the stack (API layer, backend, agent orchestration, frontend) to implement features end to end. - Use Baseten's own training and inference products yourself to develop intuition around customer workflows. - Identify where AI can replace manual process across the company and build the thing rather than write the proposal. - Fix bugs and resolve customer issues with urgency. REQUIREMENTS - 5+ years of experience building and shipping software applications. - Demonstrated experience building AI or LLM-powered products, agents, or agentic workflows that real users depend on. - Strong software engineering fundamentals and the ability to clear a real technical bar, not just prompt well. - Ability to build accurate mental models of how systems work under the hood, including the models and harnesses you're building on. - Proficiency in Python, with fluency in at least one other language. - Comfort working autonomously in a fast-moving environment with limited structure. - Ability to move between customer-facing product work and internal tooling and automation. - Strong communication skills, with the ability to bridge technical depth and business needs. NICE TO HAVE - Experience as a founding engineer or early employee at a startup. - Experience building evals, agent observability, or tooling for non-deterministic systems. - Familiarity with agent frameworks and harnesses (LangChain, Claude Code, Codex, OpenCode, MCP). - Experience with model development methods like supervised fine-tuning, reinforcement learning, synthetic data generation, LoRA, and full fine-tunes. - Frontend fluency. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render is building a channel partnerships program from the ground up, and we're hiring our first Head of Revenue Partnerships to lead it — reporting to our VP of Revenue. You'll build Render's relationships with development agencies, PE firms, and — over time — systems integrators, to help Render customers who are migrating off competitive platforms, or who are pursuing new builds with Render. WHAT YOU'LL DO - Map partner types — agencies, PE firms, SIs — and determine which are the best fit for Render's product and customer base. - Build relationships with execs at partner firms to understand their priorities, pricing, and delivery models. - Develop commercial agreements with partners to co-sell Render alongside their own services, to both existing and net-new customers. - Develop Render-specific narrative and enablement materials: decks, pilot frameworks, ROI overviews. - Design co-marketing models with partners — customer dinners, digital campaigns, conferences, and joint events. - Work with our technology partner team to build a co-sell motion for large & enterprise accounts. - For partners with a portfolio model, like PE firms, design scaled activation programs — webinars, cohorts, office hours — that drive Render adoption across many portfolio companies at once, without requiring 1:1 touch on every account. - Drive the creation of new pipeline for both Render and the partner, and own the path from first engagement to partner-qualified referral to closed revenue. - Set up the operating rhythm of each partnership: regular engagement cadences, co-sell activity, and a clear, repeatable path from first call to referral. - Partner closely with Render's internal Sales and Delivery/CS leaders to align on how reps and partners work together, keep deal registration and pipeline hygiene clean, and avoid channel conflict with internal teams - Define and report on success metrics for the channel, evolving from early engagement signals toward pipeline and revenue impact as the program matures. - Build out a team of partner managers over time, dedicated to each partner type. WHAT WE'RE LOOKING FOR - 10+ years of experience in B2B partnerships, sales, GM/general management, or solutions engineering roles, ideally at a B2B SaaS, Infra or PLG company. - A generalist with strong seller DNA — someone who is outcomes-obsessed and comfortable being measured on pipeline creation, deal influence, and revenue, not just relationship-building. - Comfort building a program without a playbook: you can hypothesize, run small experiments, and iterate quickly rather than waiting for a fully-formed process. - Real experience working with solutions partners, agencies, or SIs — ideally in co-sell, referral, or partner-sourced revenue motions. - A proven record of getting deals done — willingness to travel, get in front of partners in person, and find creative ways to keep partners engaged and motivated. - Strong cross-functional operating skills — you'll work daily with Sales, Delivery/CS, Product Marketing, and Legal, and need to build trust and alignment across all of them. - Comfort operating at the executive level, both with partner leadership and internally at Render. - A technical enough orientation to credibly engage with developer-focused partners and speak to how AI is changing the questions partners are asking. NICE-TO-HAVES - Experience building or scaling a channel program at an infrastructure, dev-tools, or other PLG-motion company. - Familiarity with partner/ecosystem tooling such as Crossbeam, or experience running account mapping and pipeline reviews jointly with external partners. - Experience navigating the emerging AI SI / AI consulting partner category. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

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. 1Password's Solutions Marketing team is responsible for the stories, use cases, competitive narratives, and go-to-market (GTM) assets that sellers rely on every day. Solutions Marketing is building an AI-native service for Sales. Instead of asking sellers to search static playbooks and personalize assets for each of their accounts themselves, the AI service will create signal-driven guidance, personalized messaging, and always-current content for each selling situation. You’ll build and operate the internal AI services that help sellers find current market intelligence, create tailored sales assets, and respond to deal signals without relying on static playbooks. This role is responsible for designing, building, and running the agent systems that support sellers across account planning, active deals, campaigns, competitive positioning, and sales enablement. You’ll work with large language model providers, coding agents, retrieval systems, and modern agent frameworks. Current examples include Claude, Codex, and other tools selected for reliability, security, and fit. This is an internal product engineering role. You’ll treat Sales and Marketing teams as users, build against their real workflows, and turn successful solutions into maintained capabilities that can serve the broader organization. You’ll sit within Solutions Marketing and work closely with Sales leadership, Marketing Operations, Data, Security, and central IT. You’ll own product and workflow decisions for Solutions Marketing systems while partnering with central IT and Engineering on shared infrastructure, access controls, security reviews, and production operations. If you've been building with agents, workflows, and production AI systems and want to do it inside a company that ships AI to production, this is that role. How we’re using AI today On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights faster so we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password. This is a remote opportunity within Canada and the US. What you will build: - Discover and define workflows: Work directly with sellers, product marketing managers (PMMs), and campaign managers to map how they work today, where time is wasted, and what good output looks like. Begin with direct observation and conversations with the people doing the work, then turn those insights into clear technical requirements. - Define the agent runtime and application architecture: Design how the system manages context, state, tools, permissions, retrieval, evaluation, and human review. Define how it ingests account signals and playbook intelligence, routes requests to specialist agents, and surfaces outputs in the tools teams already use. - Design trusted knowledge flows: Define how the system finds, evaluates, and uses account, persona, product, competitive, and campaign information. Make thoughtful decisions about source-of-truth systems, information freshness, conflicting sources, structured and unstructured data, and provenance. - Build routing and specialist agents: Build the routing and execution system that selects the right tools, data sources, and specialist agents for each request. Cover sales asset generation, campaign briefs, competitive responses, copy production, and field support for active deals. - Integrate with Sales AI and go-to-market platforms: Connect the AI layer to the platforms 1Password runs on, including Salesforce, Seismic, Gong, Notion, Snowflake, and Slack. Ensure it works alongside existing Sales AI tools and workflows, with permission-aware tool use and clear boundaries for what each agent can access and change. - Design for trusted access and safe autonomy: Design and test permission-aware retrieval, source-level authorization, audit trails, provenance capture, prompt injection defenses, retention and deletion controls, and safe handling of customer and account information. Define where agents can act independently, where human approval is required, and how the system records those decisions. - Evaluate and improve agent behavior: Tune agent behavior using representative evaluation sets, seller feedback, usage data, and output quality signals. Measure accuracy, relevance, consistency, editing effort, adoption, and other workflow-specific outcomes. Improve prompts, tools, retrieval, models, and agent behavior as the go-to-market motion and product landscape evolves. - Build quality and reliability guardrails: Build evaluation frameworks, regression pipelines, release checks, and escalation paths that keep outputs accurate, useful, on-brand, and consistent. Define how workflows handle uncertainty, failure, and human review. Production output is valuable only when it is trustworthy and useful to the teams receiving it. - Operate and evolve the system: Own the roadmap and the full lifecycle of the systems you build, from prototype through reliable production use and eventual retirement. Monitor system performance, usage, quality, latency, and cost. Identify what to build next, deprecate what is not working, and partner with the appropriate teams to resolve failures and improve reliability. How success will be measured: - Measure time to find relevant account and persona intelligence across defined seller workflows. - Generated assets take less time to produce and require less manual editing. - Agent outputs include current sources and clear provenance. - Track unsupported claims, stale-source usage, citation coverage, and manual editing effort over time. - Track adoption and repeat usage among defined seller and product marketing manager cohorts. - Time-to-response, cost-per-request, and output accuracy tracked against defined thresholds for each workflow in production. What we are looking for: You have shipped AI-enabled software that real users rely on. - You have 6+ years of experience in Marketing, GTM, Sales Operations, Marketing Operations, Data Science, Analytics Engineering, Software Engineering, or related systems roles. - You also have at least 1-2 years of hands-on experience designing, building, and operating workflows that use large language model APIs, tool calling, retrieval, structured outputs, and agent patterns. Two or more years of direct experience is preferred. - Agent-system architecture: Experience designing workflows with clear agent boundaries, context and state management, permission-aware tool use, evaluation, observability, failure handling, and human escalation. Familiarity with tools such as Claude, Codex, Cursor, Dust, LangChain, or LangGraph is useful but not required. - Technical judgment: Choose the simplest reliable approach for the problem. Know when to use deterministic code, a workflow, retrieval, a single agent, multiple agents, or human review. Avoid adding agentic complexity where it does not create meaningful value. - Builder's instinct: you'd rather put a working prototype in front of a seller today than write a spec about what's theoretically possible next quarter. - Evaluation: Experience building evaluation frameworks to measure agent output quality through prompt evaluations, output scoring, and regression testing against verified examples. - User-centered delivery: Prototype quickly with users, learn from real feedback, and turn what works into documented, reliable production systems. - Cross-functional collaboration: Translate workflow needs and feedback from PMMs, sellers, and campaign managers into clear technical requirements. - Technical communication: Explain system architecture and technical tradeoffs to engineers, then translate workflow constraints and user feedback into clear decisions with PMMs and sellers. Preferred Qualifications: - Go-to-market fluency: Working knowledge of business-to-business software as a service (B2B SaaS) marketing and sales workflows, including personas, buying stages, positioning, competitive narratives, campaigns, sales enablement, and content governance. Able to translate feedback from PMMs, sellers, and campaign managers into clear product requirements and measurable improvements. - Sales, marketing, and data platforms: Familiarity with Seismic, Salesforce, Gong, Notion, Snowflake, or Slack APIs; experience with integration platform as a service (iPaaS) tools for cross-system automation; exposure to B2B SaaS or enterprise go-to-market environments. USA-based roles only: The annual base salary for this role is between 139,000 USD and $202,000 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 $124,000 CAD and $180,000 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.

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. Priority application deadline: Applications will be reviewed on a rolling basis. Early applications are heavily encouraged. We’re growing at incredible speed, and expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. We’re hiring a Chief Technology Officer to lead the building and rebuilding of the technology, systems and ways of working that will enable a sustained $5B+ p/a operation. You will build software that safely and securely moves billions of dollars to millions of vulnerable people in some of the poorest and highest need parts of the world. This will require applying excellent engineering, team building and organizational judgment to complex, high-stakes operations: identity and fraud management, machine learning on large but imperfect datasets (cell phone data, satellite imagery, government registries), mobile money integrations, low-connectivity environments, rapidly evolving requirements all in diverse regulatory environments and country contexts. You’ll need to keep our legacy technology stack stable and performant, while in parallel building new systems from the ground up for our next level of scale. You will lead engineering, data, security and enterprise technology – with a small, mighty and rapidly growing engineering team of ~15, and the expectation that this can at least double to ~30 in the next 12 months if you want it to. You’ll report to a CEO with deep experience running technology companies, and partner with our VP Product. This role is remote, with working hours between US Eastern Time and East African Time, and some preference for candidates in our office hubs of New York, London, or Nairobi. What we’re looking for: An exceptional hirer, manager and organizer of technical talent. Proven record identifying, hiring, developing and retaining excellent engineers and engineering leaders, and creating team processes that consistently deliver software with quality and velocity. Deep technical judgment, applied close to the work. You can evaluate major designs, pressure-test architecture and build-vs-buy decisions, and recognize when a team is heading the wrong way, without becoming the primary implementer. Low-ego: you’ll investigate a problem yourself when that’s what the situation requires. Business judgment and decisiveness under ambiguity. You’re not just a technical leader, you’re also a business executive. You understand the business, are a strong cross-functional partner, and have a history of good judgment when navigating tradeoffs of long vs. short term, speed, reliability, security, flexibility, cost, technical quality, and user impact. AI first. You have a point of view on where AI meaningfully changes engineering productivity and organizational capability, and you’ve moved a team from experimentation to real, measured use. You can set the tools, culture, goals, and guardrails that leverage the opportunities and mitigate the risks of an AI first engineering culture. Embody and set an example for GD values. We take our values incredibly seriously, and expect our leaders to embody, nurture, and promote them in the way they work and the teams they build. Advantages, not requirements. Experience in an operationally complex or regulated domain (fintech, payments, humanitarian response, global development); systems involving financial controls, fraud risk, identity, or sensitive recipient data; operating across multiple countries, particularly lower-income or infrastructure-constrained ones; leading both modern product engineering and enterprise technology. What you’ll do Define our technology vision and target stack. Own the technical strategy for technology-first delivery at $5B+/year: architecture, platforms, build-vs-buy, and what we retire. Work with executive, product, finance, risk, and data leaders to turn program and product strategy into a sequenced, credible portfolio of technical investments. Balance a demanding portfolio. You'll manage six workstreams that all matter and won't all move at once: (1) building our new cash delivery stack (remote-first verification, fraud prevention, massive volume) (2) stabilizing our legacy stack until switchover, then managing the migration; (3) donor-facing fundraising products; (4) our global emergency cash system (and eventual white-labelling of that product); (5) enterprise technology; (6) internal tooling, platform, and cybersecurity. Deciding sequencing and staffing across these (and saying "not yet" credibly) is the job. Build and grow an exceptional technology organization. Recruit outstanding engineering and technology talent, design the org GiveDirectly needs at its next stage of scale (engineering, product, data, security, infrastructure, enterprise systems), and create the accountability, decision rights, and career paths to sustain high talent density. Grow the engineering team from 15 to ~30 with a lean but durable management structure. Own the technical direction and quality bar. Guide consequential decisions on integrations, data, security, reliability, and technical debt. Ensure our systems can safely support a major increase in transaction volume, geographic reach, and organizational dependence on technology. Set a pragmatic quality bar appropriate to high-stakes financial delivery while preserving speed. Lead across organizational boundaries. Serve as a member of GiveDirectly’s executive team, reporting to the CEO and bringing technology into major strategic and operating decisions. Help non-technical leaders understand technical constraints and costs, build credibility with country and functional leaders by understanding their realities, and force clarity when priorities, ownership, or tradeoffs are ambiguous. Travel. Approximately 4–6 trips per year, including visits to GiveDirectly countries of operation. Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy so pay is consistent across comparable roles. Total Compensation (US) of $366,000 – $518,000 comprised of: Base Salary: $300,000 – $375,000 Bonus: $45,000-$112,000 (bonus is % based and decided based on org-wide performance, we will share full methodology during the hiring process) Annual Benefits Stipend: ~$21,000 Total Compensation (UK) of £225,000 – £317,000 comprised of: Base Salary: £193,400 – £241,700 Bonus: £29,000 – £72,500 (bonus is % based and decided based on org-wide performance, we will share full methodology during the hiring process) Annual Benefits Stipend: £2,760 Total Compensation (Kenya) of $333,000 – $467,000 comprised of: Base Salary: $282,500 – $353,100 Bonus: $42,000 – $106,000 (bonus is % based and decided based on org-wide performance, we will share full methodology during the hiring process) Annual Benefits Stipend: $8,453 If you are not based in one of the countries listed above, we will share an estimated salary benchmark for the country you are based in during the hiring process. Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Location: United Kingdom; Ireland; Poland Workplace: Remote As a Staff Software Engineer on Coder’s Agentic Engineering team, you’ll shape the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on while setting the team's technical direction. You’ll lead complex work, make sound architectural decisions, and help other engineers do their best work. WHAT YOU’LL DO HERE - Set technical direction across Coder’s agent harness, integrations, and workflows. - Design and build production systems in Go, with work across React and TypeScript where needed. - Evolve agent execution, tool use, context management, streaming, and long-running workflows. - Extend our provider-agnostic architecture as models and capabilities change. - Lead complex projects from early ambiguity through production. - Raise the engineering bar through design reviews, code reviews, and technical mentorship. - Partner with Product and Design on clear, useful agent experiences. - Improve the reliability, performance, and operability of agentic systems. WHAT WE’RE LOOKING FOR - Deep experience building and operating production software systems. - Strong hands-on experience with Go. - Experience with React and TypeScript. - Hands-on experience building systems around LLMs and agentic workflows. - Experience with model APIs, tool calling, context management, or agent loops. - Strong distributed systems knowledge. - Working knowledge of AWS. - A track record of setting technical direction without formal authority. - Strong architectural judgment and comfort working through ambiguity. - Someone who makes the engineers around them better. OUR TECH STACK - Backend: Go, Postgres - Frontend: TypeScript, React - Infrastructure: AWS, Kubernetes - Observability: Prometheus, Grafana - CI/CD: GitHub Actions BONUS TACOS IF YOU HAVE - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience building coding agents, developer tools, or cloud development environments. - Experience with agent tools, or multi-agent systems. - Experience building abstractions across multiple model providers. - Deep experience with AWS, Kubernetes, Docker and Linux. - Open-source contributions or experience working directly with customers. Coder’s agentic architecture is provider-agnostic. The foundation is already built; this role helps decide how it evolves, where we invest, and how we keep it reliable as the space moves quickly. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: United States; Toronto; Florida; New York; Ottawa; Massachusetts; Virginia; Colorado; New Jersey; Texas Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. Our support team keeps expanding, and we’re looking for a Senior Support Engineer to help us raise the technical depth and quality of support as n8n grows across increasingly complex enterprise use cases. Your main goal will be to solve n8n’s toughest customer challenges and help us deliver a world-class technical support experience at scale. You’ll combine deep technical troubleshooting with customer empathy, product insight, and a builder mindset — resolving difficult problems while making our product, processes, and team better along the way. OWN COMPLEX TECHNICAL & ENTERPRISE SUPPORT - Take ownership of complex technical issues across tickets, chat, and community channels, driving them from first investigation through to resolution. - Diagnose issues across workflow execution, APIs, integrations, networking, self-hosted environments, and performance using logs, reproduction environments, and systematic debugging. - Support enterprise customers through high-impact or business-critical issues with clear communication, strong judgement, and a focus on restoring value quickly. PARTNER WITH ENGINEERING TO SOLVE ROOT CAUSES - Collaborate closely with Engineering and Product to investigate bugs, identify root causes, and provide high-quality technical context for escalations. - Distinguish between configuration issues, product defects, integration behaviour, and infrastructure problems so issues reach the right owners quickly. - Identify recurring patterns in customer issues and turn them into actionable product, reliability, and usability improvements. SCALE HOW WE SUPPORT CUSTOMERS - Create and improve documentation, troubleshooting guides, FAQs, internal runbooks, and knowledge-base content that enable customers and teammates to solve problems faster. - Help evolve support processes, tooling, and automation as our customer base and technical complexity continue to scale. - Contribute to our paid on-call rotation, helping provide reliable support for urgent customer issues outside standard business hours. RAISE THE BAR FOR TECHNICAL SUPPORT - Share technical knowledge, debugging approaches, and best practices with other Support Engineers and help teammates tackle increasingly complex cases. - Represent the voice of the customer with Product and Engineering, bringing evidence and context from real-world implementations into product discussions. - Contribute to the n8n community by answering technical questions, sharing best practices, and helping builders get more value from the platform. REQUIREMENTS - Senior technical support experience: You have 5+ years of experience in technical support, support engineering, or another customer-facing engineering role and are comfortable owning complex problems end to end. - Enterprise customer experience: You have experience supporting technically sophisticated customers where reliability, urgency, clear communication, and stakeholder management matter. - APIs & integrations: You have a strong understanding of APIs, webhooks, authentication, data flows, and integrations and can systematically troubleshoot where things are breaking. - Networking fundamentals: You have strong knowledge of concepts including DNS, HTTP/HTTPS, TCP/IP, proxies, certificates, and common connectivity issues. - Kubernetes: You have hands-on experience troubleshooting applications running in Kubernetes environments. - Technical fluency: You are comfortable working with JavaScript, Node.js, Docker, logs, and developer tools to investigate and reproduce technical problems. - Structured problem solving: You can take an ambiguous technical problem, form hypotheses, gather evidence, isolate the root cause, and clearly explain what you found. - Customer communication: You can translate complex technical concepts into clear, empathetic communication for audiences with different levels of technical expertise. - Ownership mindset: You don’t stop at resolving the individual ticket — you look for ways to prevent the problem recurring and leave the product, documentation, or process better than you found it. - North America & Eastern Time: You are based in one of the US states where n8n can currently hire — Texas, Virginia, Florida, New York, Massachusetts, or New Jersey — and can work Eastern Time business hours. - On-call participation: You’re comfortable participating in a paid on-call rotation to help support urgent customer issues outside standard working hours. NICE-TO-HAVES - n8n experience: You’ve used n8n hands-on and understand core concepts such as workflows, nodes, credentials, executions, and common integration patterns. - Self-hosted infrastructure: You have experience supporting containerised or self-hosted software across Linux, cloud, or customer-managed infrastructure. - AI & automation: You have experience with workflow automation, AI tooling, LLM APIs, or other developer-focused automation platforms. - Observability: You’re familiar with logs, metrics, tracing, or observability tooling and know how to use evidence to narrow down production issues. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Philadelphia, PA Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. Location: - Philadelphia, PA WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation & Benefits: - Annual OTE: $350,000 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: Chicago, IL Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Deployed Engineering team is the technical front line of our go-to-market motion. We partner with account executives from the first technical conversation through production rollout, helping companies evaluate LangChain, prove it out on their hardest use case, and get agents running reliably at scale. This is a hands-on, highly technical team. Solutions Engineers own the technical win: scoping evaluations, designing POCs that mirror real workloads, answering the deep architecture questions that decide a deal, and staying with the customer after signature to make sure what we sold actually ships. We sit at the intersection of engineering, product, and sales. What we learn in the field shapes both how customers adopt LangChain and what we build next.   ABOUT THE ROLE You will work on some of the hardest problems in applied AI, in front of customers, on a clock. Not demos, not research: systems real teams depend on in production. The feedback loop is fast, the impact is measurable in closed deals and live deployments, and the work directly shapes how AI agents get built in the real world.   WHAT YOU'LL DO - Own the technical win. Partner with AEs to scope evaluations, run technical discovery, and design POCs that map to the customer's real use case rather than a canned demo - Be the technical authority in the room during architecture reviews, security and infrastructure questions, and head-to-head evaluations - Co-architect and co-build production AI agents with customer engineering teams, from prototype through rollout - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Run demos, trainings, and workshops for developer audiences, from single-team sessions to larger technical enablement - Advise customers post-sale on architecture, best practices, and roadmap-level decisions, and find the expansion opportunities that come out of those conversations - Surface field feedback to product and build reusable POC assets, cookbooks, and example code that scale across accounts - Contribute code upstream when it meaningfully improves customer outcomes   WHAT YOU'LL BRING - 6+ years in a relevant technical role such as solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering, ideally at a startup or scale-up - Comfort owning the technical thread in a sales cycle: discovery, POCs, architecture reviews, and competitive evaluations - Ability to explain technical tradeoffs clearly and build trust with developer audiences, then translate that into a decision the customer is ready to make - A track record of taking responsibility for outcomes, not just recommendations - A bias toward action and a willingness to figure things out as you go - Genuine interest in operating AI agents in production, not just building demos   NICE TO HAVES - You've deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Experience carrying a technical number or working against pipeline alongside a sales team - Experience with LLM evaluation, observability, or guardrails - Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts   COMPENSATION Annual OTE range: $200,000–$300,000 USD. Final compensation will depend on experience, skills, and location. Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.   Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Remote - US About the Job: LaunchDarkly is looking for an Enterprise Developer Advocate to build a new motion from the ground up: education-first technical sessions inside our largest accounts. Most enterprise customers know LaunchDarkly for one thing. Inside those same companies are teams shipping AI features, running experiments, and managing risky releases who have never met us. You'll design and run sessions that teach those engineers something genuinely useful, build internal champions alongside our account teams, and surface expansion opportunities the field can act on. This starts as a pilot, and how it scales will be shaped by what you prove. It's a role for someone who wants to own a motion, not a queue. Responsibilities: Build the motion: design the Enterprise Developer Advocacy program from pilot to repeatable practice, including session formats, account selection criteria, readouts, and measurement Run sessions inside target accounts: deliver education-first technical sessions (agents and AgentControl, safe rollouts, experimentation, runtime control) tailored to each account's stack and use cases Build champions with the field: partner with AEs, SEs, and CS to identify accounts, find and develop internal champions, and hand off what surfaces cleanly to the teams who should own it Keep it credible: protect the non-promotional, education-first nature of the sessions; this motion works because it isn't a sales pitch Prove it with evidence: instrument the pilot, produce session readouts, debrief with reps, and make the scale, adjust, or stop recommendation based on what the data shows Shape what comes next: as the motion proves out, define how it scales, including the playbook future advocates would run Qualifications: A background spanning at least two of: developer advocacy, solutions engineering, developer education, technical marketing Comfortable in enterprise rooms: you can teach a technical session to fifty engineers and handle hardball questions from a skeptical principal architect Hands-on technical credibility: you build, demo, and teach, and senior engineers take you seriously Strong operational instincts: you can run a repeatable program, prioritize incoming demand, and keep commitments to the field Typically requires a minimum of 12 years of related experience. Ability to travel approximately 25% of the time (Bonus) Experience with feature management, experimentation, observability, or agent orchestration tooling (Bonus) You've built a customer-facing technical program (workshops, DevDays, office hours) from scratch (Bonus) Deep enterprise software background: you understand how large engineering organizations make platform decisions Pay: Target pay ranges based on Geographic Zones* for Level 5: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860 ** Zone 3: All other US locations - $145,500 - $200,090* * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

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 LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. Location: - Boston, MA WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation & Benefits: - Annual OTE: $350,000 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.