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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 As a Staff Full-Stack Engineer on the Cloud Clients team, you’ll own end-to-end delivery across the surfaces where dbt developers do their work: dbt Studio in the browser, the dbt VS Code extension, and the CLI workspace runtime that powers both . You’ll help build dbt’s AI-native developer experience , including agent workflows, diff review, streaming tool calls, charts and rich outputs for conversational analytics, and MCP apps that bring dbt projects directly into tools like Claude and Codex. This is a true full-stack role: you’ll work across Python, TypeScript, React, and Kubernetes , with the expectation that you can take a feature from schema and service design through to the final pixel without a handoff What you’ll do Own parts of the CLI workspace runtime that backs both surfaces, including migrating users off our legacy IDE and enabling asynchronous, background agent runs. Design and build agent-facing experiences: streaming responses, transparent tool calls, diff review, and charting / rich output for conversational analytics. Extend dbt into other developer surfaces — MCP integrations that make dbt projects usable directly from AI clients like Claude and Codex. Lead well-scoped projects end to end: write the plan, partner with design and product, ship in two-week increments, and measure whether it worked. Share oncall and customer support for your surfaces, and mentor engineers earlier in their careers. Skills we are looking for 8+ years building production software, including senior-level ownership of projects that ran for months and involved several people. Deep Python experience plus exposure to TypeScript and React experience — you move across the stack without waiting for a handoff. Built and maintained something other developers depend on: an IDE, an editor extension, a CLI, an SDK, an LSP server, or a data tool. Comfort with the operational side of shipping — APIs, Kubernetes, Postgres, observability — and with being on the hook when something breaks. Strong written communication: you can make a technical argument in a document and bring people along. Worked asynchronously as part of a fully-remote, distributed team Bonus points for Shipped LLM- or agent-powered features to production, with real opinions on evaluation, latency, cost, and where models fall down. Worked with the Language Server Protocol, Monaco, CodeMirror, or other code-editor internals. Hands-on dbt, SQL, or data warehouse experience (Snowflake, Databricks, BigQuery, Redshift). Migrated users off a legacy product surface and decommissioned it without breaking them. Go, Rust, or systems-level performance experience. #LI-HYBRID #LI-JI1 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: 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.

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. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS. We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI. Location: UK Active DV clearance is highly preferred In this role, you will: - Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. - Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices. - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations - Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards. - Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime. - Travel up to 20–40% to work on-site with customers and partners YOU MAY BE A GOOD FIT IF: - You have experience with and enjoy working directly with customers - You have experience deploying enterprise software in private/hybrid cloud environments - You have proven experience administering large-scale production Kubernetes clusters and expertise with Helm - Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control - You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization - You excel in fast-paced environments and can execute while priorities and objectives are a moving target IT'S A BONUS IF YOU HAVE… - Familiarity with GPU node orchestration & scheduling - You understand the intersection of GPU infrastructure, inference systems, Kubernetes, distributed systems, and performance optimization.   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.

Zexter is an ambitious product company building its own technological ecosystem in the iGaming industry. They develop a proprietary platform that is live and actively operating, continuously expanding their product portfolio to adapt quickly to market demands and introduce new innovations. Requirements: — 4+ years of commercial backend development experience with Node.js and TypeScript. — 4+ years of hands-on production experience with PostgreSQL and other relational databases. — Strong SQL expertise including query optimization for high-load systems, index design and performance analysis, transaction management and concurrency control, and identifying and resolving database performance bottlenecks. — 3+ years of commercial experience with NestJS. — Excellent understanding of Dependency Injection, modular application architecture, Clean Architecture and software design principles, REST API design, and backend service architecture. — Experience developing and maintaining high-load production systems. — Solid experience with automated testing (unit/component and integration tests). — Experience with load and performance testing, including bottleneck identification and validating system behavior under heavy traffic. — Experience working on systems where financial accuracy, idempotency, transaction consistency, and auditability are critical. — Ability to write clean, maintainable, testable, and well-structured code. — Strong ownership mindset, taking responsibility for features from implementation and testing through deployment, monitoring, and production incident resolution. — Strong communication skills to clearly explain technical decisions, implementation details, and associated risks. — Ability to work effectively under deadlines and independently prioritize tasks. — Experience with code reviews, debugging, logging, monitoring, and production incident investigation. iGaming Experience: — Commercial experience in the iGaming industry. — Experience developing or maintaining backend systems for online casinos, sports betting, gaming platforms, wallets, payment systems, or transaction processing. — Experience integrating third-party game providers, payment gateways, or other external services. — Ability to investigate and resolve discrepancies in financial data, transactions, and provider integrations. — Strong understanding of reliability, security, and data consistency requirements of production iGaming systems. Nice to Have: — Practical experience using AI-powered developer assistants (Cursor, Claude, or similar). — Experience with Redis, message queues, background jobs, and event-driven architecture. — Experience with Docker, Kubernetes, CI/CD pipelines, and cloud infrastructure. Conditions: — Work format: Fully remote. — Compensation: Negotiable based on experience. — Growth: Opportunity to work with a modern technology stack, a strong engineering team, minimal bureaucracy, and AI-powered development tools that help eliminate routine work.

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: London, England Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! At Figma, we're building tools that help teams design, build, and ship better products together. Figma Make enables teams to go from prompt to production code, and the Figma agent is a purpose-built design agent that edits files directly on the Figma canvas. We're looking for a deeply technical product leader to lead the four teams responsible for Figma's Roundtripping area: Code Context, Design to Code, Code to Design, and Code Platform. You'll manage and grow a team of Product Managers while partnering closely with engineering, design, data, and research leaders. This team builds the products and platform capabilities that help design and code move fluently together. You'll set the strategy for improving connecting customer codebases to Figma. This is a full-time role that can be held from our London hub or remotely within the UK. What you'll do at Figma: Lead the product aspects of the four teams driving Figma's Roundtripping area - Code Context, Design to Code and Code to Design, and Code Platform Set vision, strategy, and goals for how design and code stay in sync at Figma Own Design to Code and Code to Design workflows end to end, including quality measurement, improvement, and discoverability Guide the development of the code-context systems and translation primitives that power agentic workflows and round-tripping between design and code Manage and develop three Product Managers, hire the team's open Product Manager role, and establish a high bar for product management craft Partner with leaders across engineering, design, data, and research to make technical product decisions and serve needs across Figma's product suite Establish a strong operating cadence across the area and own adoption goals for MCP and Design to Code/Code to Design workflows We'd love to hear from you if you have: 3+ years of experience managing Product Managers, with a proven track record of hiring, calibrating, and developing talent Deep experience shipping developer tools and AI products - has run evals, owned annotation pipelines, and made real ship/no-ship calls on model behavior A track record of setting strategy and executing on major initiatives in environments with deep technical and product ambiguity - and rallying an org around a bold, unproven bet Experience working with enterprise customers to understand their workflows and turn that into shipped product Excellent cross-functional collaboration and written communication with technical depth; credible in engineering reviews and with senior stakeholders At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: 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 (Philippines); Remote (APAC); Remote (Romania); Remote (Central & South America) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. ABOUT THE ROLE The Collections team under Billing is responsible for collecting payments from workplaces (e.g., healthcare facilities). The Billing Representative (BR) is responsible for ensuring that the assigned workplaces pay their invoices quickly and on time. Cash is the lifeline of any company. This is a very critical role to ensure that the cash flows for the company are smooth. The BR will reach out to the workplaces through phone and email to follow up on payments, get a commitment of payment ("promise to pay"), and ensure that the workplaces honor these commitments. The BR will work with the workplaces and the respective internal teams to ensure any roadblocks in collecting the payments are removed. The role will require cross-functional collaboration with Billing Disputes, Sales, Customer Support, and other teams to achieve the desired goals. RESPONSIBILITIES - Monitor accounts to identify outstanding debts. - Call and email accounts payable contacts, administrators, and others as needed to ask about their overdue payments and upcoming dues. - Build relationships with workplaces (e.g., properly set expectations about our billing policy, explain NET & Dispute Terms, etc.). - Identify the root cause of non-payment and resolve billing concerns. - Report on collections updates and accounts receivable status. - Identify critical accounts and devise SMART action plans to address issues. REQUIREMENTS AND SKILLS General - Professional and clear communication (verbal and written). - High attention to detail. - Receptive to feedback (highly coachable). - Preferred: experience with Google Drive suite, Slack, Salesforce, soft phone software like Amazon Connect. Technical - Comfortable with math and data (e.g., calculating payment plan instalments). - Ability to build relationships with customers. - Strong judgment in customer-facing decisions and live interactions. - Negotiating skills. QUALIFICATIONS - Open to candidates of all experience levels—what matters most is your ability to handle business customers professionally and solve problems effectively. - No specific degree required—we care about what you can do, not just what’s on your résumé. WHY JOIN CLIPBOARD? - 100% Remote. Work from anywhere in the world. - Fast-Paced Startup Environment. Join a company that values curiosity, independence, and growth. - A hiring process that rewards skills, not just experience. Every applicant gets a fair shot—our selection is based on real-world problem-solving ability, not just credentials. - Opportunity to make a significant impact with our workplace customers. SYSTEM REQUIREMENTS To succeed in this role, you must have: - A reliable laptop/desktop (no Chromebooks or Linux OS). - Minimum 20 Mbps wired internet connection. - Wired headset for clear communication. - A quiet, distraction-free workspace. - Stable power and internet connectivity. HIRING PROCESS 1. Application form: This includes basic billing rep skill-based questions. Some questions result in automatic rejection, so please approach these with diligence as they assess your ability to handle real problems and client situations. 2. Case Study: Collections scenarios (identifying at-risk accounts, action plans, email writing) 3. Interview 1: Collections simulation 4. Interview 2: Collections simulation 5. Offer You will receive an email with the next steps in the process within 2 days of your application. Please check your spam folder! If you don’t see the email, make sure it hasn’t been filtered out or blocked. Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

Задачи: — Поддержка и сопровождение систем выхода на рынок, включая HubSpot, Vitally и другие операционные платформы. — Создание, поддержка и устранение неполадок в рабочих процессах, автоматизациях, этапах жизненного цикла, правилах маршрутизации и операционных процессах. — Расследование и решение проблем систем, сбоев рабочих процессов, несоответствий данных и операционных запросов от внутренних команд. — Взаимодействие с отделами продаж, клиентского успеха, маркетинга, финансов и продукта для улучшения бизнес-процессов и операционной эффективности. — Создание и поддержка панелей мониторинга и отчетности для отображения информации о воронке продаж, состоянии клиентов, продлениях, прогнозах и других ключевых бизнес-метриках. — Поддержка интеграций и потоков данных между CRM, биллингом, продуктом, аналитикой и системами поддержки клиентов. — Очистка данных, улучшение качества CRM и поддержание точности данных в бизнес-системах. — Документирование процессов, руководств по устранению неполадок и операционных инструкций для повышения масштабируемости и возможности самостоятельного решения проблем. — Выявление возможностей для автоматизации повторяющейся работы с использованием рабочих процессов, AI-инструментов и других операционных технологий. — Помощь в межфункциональных операционных проектах, направленных на улучшение совместной работы команд и масштабирование процессов. Требования: — Опыт работы 3+ года в поддержке бизнес-систем, операциях, revenue operations, customer operations или аналогичной функции. — Опыт работы с CRM-платформами, такими как HubSpot, Salesforce или аналогичными. — Опыт создания или поддержки рабочих процессов, автоматизаций, отчетности и операционных процессов. — Сильные аналитические и проблемно-ориентированные навыки с умением устранять неполадки в нескольких системах. — Понимание качества данных и потоков информации между бизнес-приложениями. — Хорошие организационные навыки и способность управлять несколькими приоритетами в быстро меняющейся среде. — Отличные коммуникативные навыки и умение эффективно работать с техническими и нетехническими заинтересованными сторонами. — Настрой на постоянное улучшение и интерес к изучению новых инструментов и технологий. Преимущества: — Опыт работы с Vitally или аналогичными платформами Customer Success. — Опыт работы с инструментами автоматизации рабочих процессов, такими как Zapier, Make, n8n, Workato или аналогичными. — Знакомство с API, интеграциями или low-code автоматизацией. — Опыт использования AI-инструментов, таких как ChatGPT, Claude, GitHub Copilot или инструменты с поддержкой MCP для улучшения рабочих процессов или продуктивности. — Опыт работы с инструментами отчетности, такими как Looker, Sigma, Tableau или Power BI. — Базовые знания SQL. — Опыт поддержки SaaS-организаций, выходящих на рынок. Процесс собеседования: — Введение: 30-минутное обсуждение с менеджером по найму. — Глубокое погружение: 60-минутная техническая оценка в реальном времени. — Цикл: серия 45-минутных бесед с командой (максимум 3 часа), где оценивается "что, почему и как" вашей лучшей работы.

Location: Paris, France WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: You will lead Notion’s GTM strategy and growth for France, one of EMEA’s largest and highest-priority markets. France is a Tier 1 region in Notion’s country-first EMEA model, with significant room to scale into a standalone, high-growth business. Notion is shifting from a traditional sales model toward a builder-led model with fewer handoffs, stronger technical fluency, and more direct ownership of customer outcomes. As General Manager, France, you will be the second-line leader responsible for overall revenue outcomes, regional GTM strategy, and the operating model for the French business. You will lead through frontline managers, teams of Business Development Representatives, Solutions Consultants and Outcomes Architects as well as partner cross functionally with Professional Services, Channel Partnerships and RevOps. This is a hands-on builder-leader role for an AI-native, country-first GTM model. You will bring Notion’s new GTM model to life in France: moving from a segment-first motion to a country-first, AI-native operating system where teams help customers diagnose problems, design agentic workflows, and build real systems with Notion AI. This role sits on the EMEA Leadership Team and reports to the General Manager, EMEA. This role will be based in Paris. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Own the GTM strategy, operating rhythm, and growth plan for France, with accountability for overall regional revenue outcomes across Sales Assist and Self Serve contribution. - Lead as a second-line manager: hire, coach, and develop frontline leaders and IC teams across Business Development, Solutions Consulting, Outcomes Architecture, Forward Deployed Architecture/Engineering, and supporting GTM functions. - Scale a country-first GTM motion that brings Notion closer to French customers through local executive engagement, market nuance, and faster field-level decision-making. - Accelerate the land engine by opening the right front doors, growing professional workspaces, increasing net-new and upgrade opportunities, and connecting self-serve signals to sales-assisted motion. - Win lighthouse customers and turn them into market momentum by making them wildly successful, telling their story locally, and using those wins to influence peer companies across France. - Embed Notion’s AI-era GTM model across the team, including agent-enabled customer journeys, first-agent workflow activation, AI/agent demo proficiency, and stronger “build with the customer” motions. - Make agentic transformation central to the French GTM motion: help customers identify high-value workflows, build and deploy Notion Agents, automate cross-functional work, and measure outcomes from AI adoption. - Partner tightly with Solutions Consultants, Outcomes Architects, Forward Deployed Architects/Engineers, Professional Services, Marketing and Channel to reduce handoffs and deliver faster, more durable customer value. - Build “sell with” partner motions in France, including partner-sourced pipeline, co-sell plays, enablement, AI/agentic solution packages, and joint account planning. - Establish Notion as a visible force in the French ecosystem through executive dinners, field events, startup and community engagement, partner activations, and customer advocacy. - Represent the voice of French customers back to Product, PMM, Marketing, and EMEA leadership, especially around AI transformation, enterprise requirements, security, compliance, localization, and competitive dynamics. - Create a talent destination in France by hiring builder-oriented leaders and ICs, raising the craft bar, and developing the next generation of AI-native GTM talent. - Drive operational excellence across forecasting, pipeline quality, territory planning, inspection cadence, performance management, and cross-functional execution. WHO WE'RE LOOKING FOR: A strategic and hands-on GTM operator who has scaled enterprise SaaS or AI businesses in France and knows how to build a market, not just inherit one. You have led through managers, owned complex revenue outcomes, and created local market momentum through customers, partners, community, and talent. You combine second-line leadership with builder energy. You can set a crisp country strategy, install the operating system to execute it, and step into the field when needed — whether joining an executive customer conversation, sharpening a pipeline plan, coaching a manager, or helping the team translate a customer problem into an AI-powered, agentic workflow. You are excited by Notion’s shift to an AI-native, country-first GTM model and believe the best GTM teams will increasingly be builders: BDRs who identify transformation opportunities, Solutions Consultants who build with customers in the room, Outcomes Architects who turn early workflows into durable adoption, and Forward Deployed Architects/Engineers who design the technical systems behind complex agentic workflows. SKILLS YOU'LL NEED TO BRING: - 12+ years of professional experience, including 5+ years leading SaaS or AI sales & GTM teams in France. - Deep knowledge of the French enterprise and startup ecosystem, including executive buyer networks, local partner channels, and market-specific buying dynamics across all market segments (commercial, midmarket and enterprise) - Proven second-line leadership experience, including hiring, coaching, and developing frontline managers and high-performing IC teams. - Track record of owning and exceeding revenue targets across new business, expansion, and renewal/churn dynamics. - Agency & Urgency: experience building or scaling a regional/country business in a high-growth or ambiguous environment. - Experience selling, implementing, or leading GTM teams around AI, automation, agentic workflows, collaboration, productivity, developer, or data products. - Strong strategic judgment: ability to define a country plan, segment the market, prioritize accounts and plays, and align cross-functional teams around outcomes. - Operational rigor across forecasting, pipeline generation, inspection, performance management, territory planning, and sales process. - Executive presence with CIO, CTO, CPO, COO, and business transformation buyers, with the ability to shape a compelling AI and agentic workflow narrative. - Strong understanding of modern GTM motions across Business Development, Solutions Consulting, Outcomes Architecture, Forward Deployed Architecture/Engineering, Professional Services, Channel, Marketing, RevOps, and Product. - Builder mentality and deep AI curiosity: comfortable learning, demoing, and coaching teams on agent-first workflows, proof-of-value motions, and customer co-building. - Fluency in French and English. NICE TO HAVES: - Experience launching or scaling a country-first or regional GTM operating model. - Familiarity with enterprise security, compliance, APIs, webhooks, connectors, data residency, AI governance, and technical evaluation processes. - Experience scaling partner, channel, marketplace, or consultant-led GTM motions around AI or workflow transformation. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €350,000 - €408,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Philippines; India; Mexico City, Mexico; Mexico; Cairo, Egypt; Brazil; Malaysia; Indonesia Workplace: remote About the Role  We are looking for a detail-oriented QC Reviewer to ensure the quality and consistency of robot manipulation video annotations produced by our annotation team. You'll review labeled video segments against a detailed style guide and reference examples, catch errors or inconsistencies, and provide clear, constructive feedback to annotators. This role is critical to maintaining the accuracy and reliability of training data used for robotics AI models.  What You'll Do      - Review completed annotations of robot manipulation videos across three levels of labeling detail (atomic motion, skill/subtask, task/goal).      - Cross-check annotator descriptions against all three camera views (overhead and both wrist-mounted cameras) to verify accuracy of described actions, object identification, and contact/grasp details.      - Verify full coverage of each video — confirm there are no gaps in labeling, including idle or pause moments.      - Check that descriptions accurately reflect what actually happened in the video, including failures, drops, or slipped grips — flagging any instances where outcomes were inaccurately described or "smoothed over."      - Evaluate annotations for adherence to the style guide: correct vocabulary usage, spatial/directional accuracy, consistent terminology for objects and actions, and appropriate language variation (avoiding repetitive phrasing).      - Identify recurring errors or patterns of confusion among annotators and report them to the team lead for calibration purposes.      - Provide specific, actionable feedback on rejected or revised annotations, referencing the style guide and reference examples.      - Participate in periodic calibration sessions with the team and client to align QC standards with evolving guidelines or edge-case resolutions.      - Maintain a QC log or tracking sheet documenting review outcomes, common error types, and annotator performance trends (as required by the project).    What We're Looking For  Required:      - Excellent written English and strong reading comprehension — you'll be evaluating precise, nuanced language choices, not just checking for typos.      - Exceptional attention to detail — able to catch subtle mismatches between video content and written description (e.g., a mislabeled grasp type, an incorrect object part, a missed failure event).      - Strong grasp of spatial/mechanical description (left/right, above/below, object parts like handles, lids, edges) to verify annotator accuracy.      - Ability to apply a detailed, structured style guide consistently and make sound judgment calls in ambiguous or edge-case scenarios.      - Comfort giving clear, specific, and constructive feedback to annotators (written feedback, not just pass/fail marks).      - Reliable, self-directed work habits, with the ability to work independently while meeting review turnaround expectations.  Nice to Have:      - Prior experience in a QC, editing, proofreading, or annotation review role.      - Experience with video annotation, data labeling, or transcription QA specifically.      - Familiarity with robotics terminology (grippers, end-effectors, manipulation).      - Experience with annotation tools such as Label Studio, including review/approval workflows.  #L1-CC1 Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Philippines; India; Cairo, Egypt; Mexico City, Mexico; Mexico; Brazil; Malaysia; Indonesia Workplace: remote About the Role  We are looking for detail-oriented annotators to help label robot manipulation videos for AI training purposes. You'll watch short videos of robots performing manipulation tasks (filmed from three synchronized camera angles) and produce precise, structured, natural-language descriptions of the actions taking place. This work directly supports the development of robotics AI models and requires strong written English, sharp observational skills, and the discipline to follow a detailed style guide consistently.  What You'll Do  1. Watch short robot manipulation videos, each filmed from three synchronized camera views (an overhead view and views from each of the robot's two wrist-mounted cameras).  2. Break each video into time segments and write clear, natural-language descriptions for each segment.  3. Apply labels at three levels of detail for each applicable segment:  - Atomic motion (a few seconds) — a single small movement (e.g., "close fingers around the red handle")  - Skill / subtask (several seconds to ~20 seconds) — a complete, meaningful action (e.g., "pick up the red block by its edge")  - Task / goal (up to ~1 minute) — the overall purpose of a sequence of skills (e.g., "place all blocks in the container")    4. Ensure every moment of video is covered by a label at two or more of these levels — no gaps, including idle or pause moments.  5. Accurately describe exactly what happens, including when something doesn't go as planned (a dropped object, a failed grasp, a slipped grip). Precision matters more than making the robot look successful.  6. Cross-reference all three camera angles: use the overhead view to understand the overall scene and object identity, and the close-up wrist views to confirm exact contact and grasp details.  7. Follow a detailed style guide covering vocabulary for actions, spatial relationships, object descriptions, and manner of movement, applying it consistently across many episodes.  8. Participate in periodic calibration sessions to align your labeling with the team and the client's reference examples.    What We're Looking For  Required:  1. Strong written English — you'll write dozens of short, precise descriptive sentences per video and need to vary your language rather than repeating the same phrases.  2. Sharp attention to detail — able to distinguish small differences (a successful grasp vs. a fumble, a push vs. a drag, which specific object part is being touched).  3. Comfort following a detailed, structured style guide and applying it consistently, even in ambiguous or edge-case scenarios.  4. Basic comfort with spatial/mechanical description (left/right, above/below, naming object parts like handles, lids, or edges).  5. Reliable, self-directed work habits — this is often heads-down work with periodic check-ins rather than close supervision.  Nice to Have:  1. Prior experience with video annotation, data labeling, transcription, or QA work.  2. Familiarity with robotics terminology (grippers, end-effectors, manipulation) — helpful but not necessary, as the style guide is self-contained.  3. Experience with annotation tools such as Label Studio.    #L1-CC1 Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Задачи: — Проектирование и разработка продвинутых AI-workflows и агентных архитектур — Разработка и оптимизация RAG-пайплайнов — Создание качественных промптов и проведение экспериментов со стратегиями prompt engineering — Работа с LangChain и другими LLMOps-инструментами для оптимизации производительности чат-бота — Анализ поведения пользователей для повышения точности и естественности AI-системы — Тесное взаимодействие с инженерной и продуктовой командами при тестировании и внедрении улучшений — Отслеживание новых тенденций в области LLM и conversational AI — Развитие GPT-powered чат-бота компании до более высокого уровня качества и персонализации Требования: — Подтвержденный опыт работы с GPT или другими большими языковыми моделями — Практический опыт создания AI-агентов и agentic workflows — Глубокое понимание RAG и опыт его применения в реальных проектах — Уверенное знание Python — Знакомство с векторными базами данных — Опыт работы с LangChain — Понимание LLMOps best practices — Отличный английский для написания промптов и коммуникации с командой — Аналитический склад мышления — Проактивный подход к экспериментам и поиску решений — Интерес к AI и постоянному профессиональному развитию Условия: — Полная занятость — Удалённый формат работы — График 5/2 — Вечерние или ночные смены — Рабочий день 8 часов — Выплаты один раз в месяц — Оформление по договору ГПХ с самозанятым — Заработная плата $2 000–4 500 в месяц до вычета налогов — Работа над AI-продуктом в сфере iGaming — Возможность развивать GPT-powered chatbot и современные conversational AI решения

Location: San Francisco Workplace: OnSite 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 Note: This is an in-person role based in San Francisco, and we’d like you in the office five days a week. As our Office Manager, you’ll own the rhythms and details that make the San Francisco office work: facilities coordination, vendor management, supplies and pantry programs, visitor and onboarding readiness, and a high bar for cleanliness and functionality. This role is hands-on and highly collaborative. Baseten moves fast, and you should be ready to hit the ground running. You’ll report to the Workplace Experience Manager and partner with IT, People Ops, and EA’s to proactively solve problems before they impact employees. This role is based in hospitality with employees as the customers. You’ll create an exceptional workplace experience by pairing high-touch hospitality with high-precision execution. Employees will know you as the calm, friendly point of contact, while you quietly orchestrate vendors, access workflows, and last-mile details behind the scenes so the office runs smoothly every day. OUR SAN FRANCISCO OFFICE - Baseten HQ Campus - Up to 275 people onsite daily - Growing rapidly - Frequent visitors - ~24,000 square feet RESPONSIBILITIES Events and culture - Collaborate on a thoughtful calendar of employee-facing events with your WPX (Workplace Experience) teammates. - Own location-based programming for your building. - Support logistics for team onsites hosted in your building, including space setup, catering coordination, and on-the-ground execution. - Track budgets, contracts, and feedback to continuously improve quality and efficiency. Office operations and facilities - Serve as the first point of contact for employees and guests, creating a welcoming, professional experience. - Own daily office operations: shared space upkeep, inventory management, and lunch/pantry/coffee programs. - Manage relationships with building management and service vendors (janitorial, maintenance, repairs, security), including contracts and COIs. - Oversee physical security and access processes (badge coordination, visitor workflows, vendor access, and compliance with building requirements). - Partner with the IT team to ensure office-facing systems (A/V, conference rooms, access workflows) function reliably. - Identify and implement process improvements that reduce friction and increase reliability. Space and workplace logistics - Support new hire onboarding logistics, including workspace setup. - Maintain seating plans and manage desk moves, team reconfigurations, and workspace assignments. - Anticipate workspace and supply needs (desks, chairs, monitors, meeting rooms, shared supplies) and coordinate procurement. - Partner with the Workplace Experience Manager to support office buildouts, expansions, and moves as needed. REQUIREMENTS - 3–5+ years of experience in office management, workplace operations, facilities coordination, or a related role. - Strong vendor management skills, including working through issues quickly and professionally. - Excellent organizational habits and follow-through, with comfort juggling multiple requests at once. - Experience bringing people together and creating space for culture in a rapidly changing environment. - High attention to detail and pride in running a tight, welcoming office. - Clear written and verbal communication skills. - Calm under pressure, adaptable, and proactive about solving problems before they escalate. - Availability and interest in being onsite in our San Francisco HQ five days a week. - Availability to accommodate early or late hours as needed for event production and onsite coordination. 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: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE Search is being rebuilt in real time. Millions of people now start with a question to ChatGPT, Claude, Gemini, or Perplexity, and the answer they get decides which products they try. When someone asks how to build an app, a website, or a tool for their business, Replit needs to be the answer. We're hiring an AEO/GEO/SEO Lead to own how Replit gets discovered, across AI-generated answers and traditional search. This is a zero-to-one role. You'll define the strategy, then execute it yourself with AI-leveraged production, agency partners, and cross-functional teams behind you. You'll work daily with our Web, Growth, Brand, Content, Product, Engineering, and Analytics teams. The fastest-growing AI-native companies have already turned AI answers into a primary acquisition channel. Your mandate is to do the same for Replit: grow AI referral traffic into one of our largest sources of new builders, keep our traditional search presence compounding, and make Replit the platform AI assistants recommend when anyone wants to build software. Replit moves fast. We ship continuously, experiment relentlessly, and aim to make every builder more productive and creative. We're looking for someone who thrives in that environment: part strategist, part operator, part scientist of a channel that changes every month. WHAT YOU'LL DO - Own the AEO/GEO Strategy Define where Replit must show up across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews, for which prompts and buyer intents, and build the playbook to win those answers. Set targets, sequence the roadmap, and defend the strategy with data. - Win Citations Across the Open Web LLMs cite what they trust: Reddit threads, YouTube videos, high-authority publications, community content, and well-structured owned pages. Build durable programs on each of these surfaces, understand the half-life of an AI citation, and keep Replit ranked as models retrain and retrieval systems shift. - Run SEO End to End Own keyword strategy, on-page optimization, technical SEO, and content-driven organic growth in partnership with our Head of Web. Protect and grow search equity through a major site relaunch, and coordinate with our paid search team on keyword coverage. - Build the Content Engine Produce and direct content designed for two readers at once: LLM crawlers and humans. Blogs, comparison pages, videos, and structured resources, created at volume with AI-assisted workflows and held to a high quality bar. The durable human work here is judgment: strategy, editorial quality, and distribution. - Stand Up Measurement Build reporting for a channel that lacks perfect attribution: AI referral traffic, share of voice in AI answers, citation tracking, and downstream signups and revenue. Run controlled experiments, isolate what actually moves citations, and teach the rest of the company what you learn. - Direct Agencies and Tools Own our agency and vendor relationships across search and AI visibility, plus the tool stack that powers tracking and production. Write the briefs, hold the quality bar, and decide what stays in-house. YOU'LL BE A GOOD FIT IF YOU: - Have 4+ years in growth marketing, SEO, content, or technical marketing (SaaS, technology, or developer-focused businesses a plus) - Have owned a channel end to end and can walk through what you built, what moved, and the numbers behind it - Have taught yourself a new channel or skill from zero and turned it into shipped results - Use AI daily as a builder (automations, agents, dashboards, small apps you can show) and are forming your own point of view on how AI assistants find and cite sources - Have working technical SEO literacy (crawling, indexing, structured data, site architecture) and the appetite to go much deeper - Write clearly and quickly, and can direct people, agencies, and AI tools to produce content that earns citations - Have a founder mindset: you identify gaps and fill them, move quickly, don't wait for someone else to define the playbook, and dig into the details with low ego\\ Bonus Points: - Shipped AEO/GEO work with results you can show, especially if you helped make AI answers an acquisition channel - Earned presence on surfaces you don't own: Reddit communities, YouTube, digital PR - Hands-on with AI visibility and citation tracking tools (Profound, Peec, Ahrefs Brand Radar, or similar) - Programmatic SEO at meaningful scale - You've built with Replit or other AI building tools and understand our audience firsthand   Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: 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 .