Вакансии

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In Spain, the base compensation range for this role is €85 ,000 - €107,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In Ireland, the base compensation range for this role is EUR 107,000 - EUR 134,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In the UK, the base compensation range for this role is £94 ,000 - £118,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Kyiv, Ukraine Hi! We are Boosta, a holding tech company that creates, develops, and invests in digital businesses with global potential. Today, we collaborate with over 800 specialists from different parts of the world, and millions of users use our products and services. We are currently looking for a Content Lead to join our partner company. What you will do: Shape, develop, and regularly adapt the project’s content strategy based on business goals and analytics data. Analyze content performance using analytics tools, identify effective and underperforming materials, find growth opportunities, and initiate relevant changes. Regularly track key content metrics, draw conclusions, and plan next steps to improve results. Organize and optimize content processes: build the workflow structure, assign tasks, and monitor their completion and adherence to deadlines. Manage the content team: prioritize tasks, track performance, identify issues in a timely manner, and help the team achieve its goals. Find, engage, and manage external contractors, monitoring the quality and timeliness of their work. Plan and manage content budgets: build the budget, justify expenses, and control spending. Control the quality of text and visual content, ensuring materials meet project standards. Ensure compliance with basic SEO requirements when creating and optimizing content. What we expect from you: 3+ years of experience working with content. Experience managing a content team, distributing workload, setting tasks, and monitoring results. Understanding of effective content principles and the ability to evaluate content performance based on data rather than subjective perception alone. Hands-on experience with analytics tools. Ability to work with content metrics, interpret analytics results, and make decisions on further content strategy. Skills in building, systematizing, and optimizing content processes. Ability to work in a structured way, plan, and follow established processes. Experience finding and managing external contractors. Experience planning and controlling budgets. Basic understanding of SEO: working with keywords, internal linking, alt tags, and other SEO content optimization principles. Excellent written communication skills and the ability to independently create and edit high-quality texts. Strong visual taste, understanding of quality design principles, image selection, and content formatting. Strong communication and organizational skills, responsibility, proactivity, and a results-oriented mindset. Your journey with us: Step 1: Pre-screen and portfolio review. Step 2: Interview. Step 3: Additional interview (if needed). Step 4: Job Offer!

Location: Singapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania Workplace: Remote Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones) Start Date: ASAP Languages: English Team: Engineering ABOUT THE ROLE Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand. We are looking for a Research Engineer, Privacy and Anonymization to build the systems that make sensitive, real-world data safe and still useful for AI training. You will develop methods to detect and remove personally identifiable information, secrets and other sensitive content from raw data before it enters processing and synthetic data pipelines — protecting privacy without destroying the structure and signal that make the data valuable for training agents. This is a privacy and data-protection engineering seat, not a synthetic-task design role. You will own the pipeline that stands in front of downstream processing, training, evaluation and synthetic generation. This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring. WHAT YOU'LL DO - Build systems to detect PII, quasi-identifiers, credentials and other sensitive information, and design transformations based on the data type and the downstream use case. - Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods. - Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation. - Create evaluation frameworks that measure privacy risk and retained data utility, including recall-weighted metrics, leakage tests and adversarial re-identification attempts. - Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields. - Work with engineering, research, operations and customers to translate privacy requirements into practical technical policies and safeguards. WHAT WE'RE LOOKING FOR - Strong proficiency in Python, and experience building reliable production data or machine-learning systems. - Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content. - Strong experimental instincts, and the ability to compare approaches across recall, precision, latency, cost and downstream data utility. - An understanding of the difference between redaction, masking, pseudonymization, anonymization and synthetic data — and when each is appropriate. - High attention to detail, and the ability to reason about subtle leakage paths, edge cases and adversarial failure modes. - Experience building data-processing pipelines end to end, including where there was no fully prescribed roadmap. - Clear written and spoken English, and comfort collaborating across teams and time zones. - Strong candidates may also have hands-on experience with privacy-enhancing technologies (such as differential privacy, k-anonymity, secure aggregation or format-preserving encryption); have worked with sensitive data in healthcare, finance or security; have built low-latency or high-throughput ML inference or data-processing systems; or have taken work from early research through to production. - Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above. WHY THIS ROLE MATTERS FOR YOU - Make real-world data safe to train on: You will build the systems that let sensitive data be used for AI training without exposing people or secrets. - Privacy without wrecking utility: The job is not only to redact, but to keep the structure and signal that downstream training and synthetic pipelines need. - From detection to production: You will own the full path: detection methods, transformations, evaluation, and the pipeline that sits in front of training and generation. - Hard, high-stakes edge cases: Work on leakage paths, schema drift and adversarial failure modes, not only clean benchmark datasets. - San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring. Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Workplace: remote Requirements Min. 3 years of practical experience in carrying out complex data analyses with Python, including data preparation, data validation, and target-audience-appropriate preparation of the results Practical experience with SQL for querying, preparing, and integrating structured data (4 reference projects) Practical experience in processing infrastructure and geodata (1 reference project) Certification in a cloud-based data management solution (Databricks, Snowflake, Fabric) Knowledge of German at C1 level or above Knowledge of English at B2 level or above Nice to have In-depth knowledge of coordinate systems and coordinate transformations, demonstrated by a completed degree in mathematics or physics Experience with OCR methods for the automated extraction of structured data (1 reference project) Responsibilities Analysis of the provided geodata inventories, mast plates, and existing BIM data structures Analysis of the existing Python script as well as the current IFC model structure Assessment of additional infrastructure objects regarding their suitability for data enrichment and BIM modeling Technical coordination of the attributes and modeling parameters to be used Development and further development of data pipelines for automated data ingestion and data processing Integration of information from various data sources Processing of PDF documents including OCR-supported text recognition and table evaluation Transformation, validation, and cleansing of structured and unstructured data Design and optimization of suitable data models for storing and further processing the data Extraction of relevant information from mast plates Prototypical processing of the mast plates, including PDF/image preprocessing, OCR, table recognition, and plausibility checking Extraction of the agreed information and assignment to the matching objects in the geodata Flagging of unrecognized, ambiguous, or implausible information and provision of the enriched data in machine-readable form Ensuring traceable data quality and data integrity Development of methods for automated plausibility checking of the results Extension and adaptation of existing script components for automated IFC model generation Support in the parametric modeling of overhead line masts and other coordinated infrastructure components Integration of enriched data into existing BIM structures Creation and review of IFC output files with regard to technical validity and technical plausibility Conducting quality checks at the data, process, and modeling level Documentation of data structures, transformation logic, and validation rules Documentation of unresolvable data conflicts and special cases Creation of traceable technical documentation of the developed solution We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Anna hh@itransition.com

Location: United States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico Workplace: Remote Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones) Start Date: ASAP Languages: English Team: Engineering ABOUT THE ROLE Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand. We are looking for a Research Engineer, Privacy and Anonymization to build the systems that make sensitive, real-world data safe and still useful for AI training. You will develop methods to detect and remove personally identifiable information, secrets and other sensitive content from raw data before it enters processing and synthetic data pipelines — protecting privacy without destroying the structure and signal that make the data valuable for training agents. This is a privacy and data-protection engineering seat, not a synthetic-task design role. You will own the pipeline that stands in front of downstream processing, training, evaluation and synthetic generation. This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring. WHAT YOU'LL DO - Build systems to detect PII, quasi-identifiers, credentials and other sensitive information, and design transformations based on the data type and the downstream use case. - Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods. - Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation. - Create evaluation frameworks that measure privacy risk and retained data utility, including recall-weighted metrics, leakage tests and adversarial re-identification attempts. - Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields. - Work with engineering, research, operations and customers to translate privacy requirements into practical technical policies and safeguards. WHAT WE'RE LOOKING FOR - Strong proficiency in Python, and experience building reliable production data or machine-learning systems. - Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content. - Strong experimental instincts, and the ability to compare approaches across recall, precision, latency, cost and downstream data utility. - An understanding of the difference between redaction, masking, pseudonymization, anonymization and synthetic data — and when each is appropriate. - High attention to detail, and the ability to reason about subtle leakage paths, edge cases and adversarial failure modes. - Experience building data-processing pipelines end to end, including where there was no fully prescribed roadmap. - Clear written and spoken English, and comfort collaborating across teams and time zones. - Strong candidates may also have hands-on experience with privacy-enhancing technologies (such as differential privacy, k-anonymity, secure aggregation or format-preserving encryption); have worked with sensitive data in healthcare, finance or security; have built low-latency or high-throughput ML inference or data-processing systems; or have taken work from early research through to production. - Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above. WHY THIS ROLE MATTERS FOR YOU - Make real-world data safe to train on: You will build the systems that let sensitive data be used for AI training without exposing people or secrets. - Privacy without wrecking utility: The job is not only to redact, but to keep the structure and signal that downstream training and synthetic pipelines need. - From detection to production: You will own the full path: detection methods, transformations, evaluation, and the pipeline that sits in front of training and generation. - Hard, high-stakes edge cases: Work on leakage paths, schema drift and adversarial failure modes, not only clean benchmark datasets. - San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring. Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Workplace: remote Requirements At least 5 years of experience in the Microsoft Power BI and Fabric ecosystem, especially in Power BI Service, Dataflows, Semantic Models, DAX, and M-Code Experience in implementing Microsoft Fabric artifacts such as Lakehouse, Notebooks, and Pipelines from at least 2 projects At least 5 years of experience in data modeling of star and snowflake schemas with dbt At least 5 years of experience in building and implementing data governance structures, especially standards, role and permission concepts, governance processes, and best practices for Self-Service Analytics Experience in using Azure DevOps in connection with Microsoft Fabric from at least one project German at native-speaker level Knowledge of English at B2 level or above Nice to have Experience in the environment of railway transport companies from at least one project At least 3 years of experience in building, further developing, and supporting data communities as well as promoting Self-Service Analytics approaches Responsibilities Design, implementation, and operation of analytical data solutions using Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, Semantic Models) in line with client standards, security, and operational requirements Development and implementation of reports, dashboards, and analytical applications with Microsoft Power BI and Microsoft Fabric, including data modeling, DAX, visualization, and permission concepts Analysis, evaluation, and prototypical implementation of AI functionalities in Microsoft Fabric, e.g., for data analysis, data preparation, natural-language queries, forecasts, pattern recognition, and automated insight generation Consulting the business department in the analysis of complex requirements, the selection of suitable Fabric, Power BI, and AI functionalities, and the evaluation of technical implementation options Project management and coordination services in an agile project context, especially planning, prioritization, documentation, and tracking of requirements, tasks, risks, and dependencies Creation and maintenance of business and technical documentation on data sources, data models, transformation logic, reports, dashboards, AI use cases, permission concepts, and operational aspects Support of an MS Fabric and Power BI community Conducting enablement formats within the community for the business departments Building data models with the dbt framework We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Natalya hh@itransition.com

-5-6+ years of software engineering experience with strong hands-on Python, FastAPI, PostgreSQL DB, and microservices. -Strong experience designing AI architecture and building scalable production AI systems using LangChain/LangGraf, RAG, embeddings, reranking, and multi-agent workflows.

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken’s world-class Security Team is growing. As we continue to scale and mature our information technology controls program, we are seeking a senior professional with a strong background in risk management to help build and operate a program designed for enterprise scale. Kraken is seeking a Senior Risk Analyst to join the Security Governance, Risk, and Compliance (SecGRC) team. Reporting to the Senior Manager of Security Risk Management, this role is a key contributor to the execution and maturation of Kraken's Security Risk Management program. You'll conduct rigorous risk assessments, produce high-quality analysis, and help build the operational infrastructure that makes the program run — all in close partnership with program leadership. This role offers the opportunity to make a meaningful and lasting impact both within Kraken and across the broader industry. The ideal candidate is deeply analytical, process-minded, and energized by turning ambiguous risk signals into clear, repeatable, and scalable workflows. Entrepreneurial spirit and comfort with iterating quickly is a must. This is a fully remote role. THE OPPORTUNITY - Execute security risk assessments end-to-end — scoping, data gathering, analysis, findings documentation, and communicating results to stakeholders — in alignment with program methodology set by leadership - Support the development and continuous refinement of risk assessment templates, workflows, and process guides that make the program consistent and scalable - Maintain risk registers and ensure identified risks are tracked accurately and progressing through mitigation, remediation, or acceptance workflows - Assist in building and maintaining Key Risk Indicators (KRI) tracking and risk reporting outputs, translating raw data into clear, well-structured deliverables for review by senior leadership - Partner with technical teams including Vulnerability Management, Application Security, and Blue Team to gather risk-relevant data and incorporate operational findings into assessment work - Identify opportunities to streamline and automate risk processes and bring those recommendations to program leadership for prioritization - Contribute to the documentation and upkeep of risk program standards, procedures, and guidance materials - Collaborate with cross-functional teams including Compliance, Internal Audit, Engineering, and Legal to ensure risk findings are well-contextualized and properly actioned - Support audit preparedness activities and risk-related reporting as directed by program leadership WHAT YOU BRING - 5+ years of experience in information security risk management, cybersecurity governance, or GRC - Hands-on experience conducting risk assessments and owning findings documentation — not just supporting assessments, but running them - Strong working knowledge of risk management frameworks such as NIST CSF, ISO 27005, PCI DSS, or DoCRA - Demonstrated ability to build repeatable processes — you've taken something ad hoc and made it structured and scalable - Strong data analysis skills; able to clean, interpret, and present risk data clearly and accurately - Experience contributing to KRI tracking and risk reporting for internal stakeholder audiences - Familiarity with GRC tools such as AuditBoard, Archer, OneTrust, or ServiceNow GRC - Proficient in Google Workspace; SQL and/or Tableau experience a strong plus - Excellent written communication — your deliverables are clear, well-organized, and don't require heavy editing - Self-directed and comfortable operating in ambiguity; you take direction well and run with it - Bachelor's degree or above in IT, Cybersecurity, Business Administration, Engineering, or a related field - CISM, CRISC, or ISO 27001 credentials a plus; experience in fintech or regulated industries preferred Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom; Brazil; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken’s world-class Security Team is growing. As we continue to scale and mature our information technology controls program, we are seeking a senior professional with a strong background in risk management to help build and operate a program designed for enterprise scale. Kraken is seeking a Senior Risk Analyst to join the Security Governance, Risk, and Compliance (SecGRC) team. Reporting to the Senior Manager of Security Risk Management, this role is a key contributor to the execution and maturation of Kraken's Security Risk Management program. You'll conduct rigorous risk assessments, produce high-quality analysis, and help build the operational infrastructure that makes the program run — all in close partnership with program leadership. This role offers the opportunity to make a meaningful and lasting impact both within Kraken and across the broader industry. The ideal candidate is deeply analytical, process-minded, and energized by turning ambiguous risk signals into clear, repeatable, and scalable workflows. Entrepreneurial spirit and comfort with iterating quickly is a must. This is a fully remote role.   THE OPPORTUNITY - Execute security risk assessments end-to-end — scoping, data gathering, analysis, findings documentation, and communicating results to stakeholders — in alignment with program methodology set by leadership - Support the development and continuous refinement of risk assessment templates, workflows, and process guides that make the program consistent and scalable - Maintain risk registers and ensure identified risks are tracked accurately and progressing through mitigation, remediation, or acceptance workflows - Assist in building and maintaining Key Risk Indicators (KRI) tracking and risk reporting outputs, translating raw data into clear, well-structured deliverables for review by senior leadership - Partner with technical teams including Vulnerability Management, Application Security, and Blue Team to gather risk-relevant data and incorporate operational findings into assessment work - Identify opportunities to streamline and automate risk processes and bring those recommendations to program leadership for prioritization - Contribute to the documentation and upkeep of risk program standards, procedures, and guidance materials - Collaborate with cross-functional teams including Compliance, Internal Audit, Engineering, and Legal to ensure risk findings are well-contextualized and properly actioned - Support audit preparedness activities and risk-related reporting as directed by program leadership   WHAT YOU BRING - 5+ years of experience in information security risk management, cybersecurity governance, or GRC - Hands-on experience conducting risk assessments and owning findings documentation — not just supporting assessments, but running them - Strong working knowledge of risk management frameworks such as NIST CSF, ISO 27005, PCI DSS, or DoCRA - Demonstrated ability to build repeatable processes — you've taken something ad hoc and made it structured and scalable - Strong data analysis skills; able to clean, interpret, and present risk data clearly and accurately - Experience contributing to KRI tracking and risk reporting for internal stakeholder audiences - Familiarity with GRC tools such as AuditBoard, Archer, OneTrust, or ServiceNow GRC - Proficient in Google Workspace; SQL and/or Tableau experience a strong plus - Excellent written communication — your deliverables are clear, well-organized, and don't require heavy editing - Self-directed and comfortable operating in ambiguity; you take direction well and run with it - Bachelor's degree or above in IT, Cybersecurity, Business Administration, Engineering, or a related field - CISM, CRISC, or ISO 27001 credentials a plus; experience in fintech or regulated industries preferred Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We are looking for a Security GRC Lead to own security governance, risk, and compliance across Payward's acquisitions. You will be the accountable owner for bringing each acquired company from its own control environment into ours, working with the M&A Technology Team from diligence through to either full platform migration or steady-state coverage under our central program. Payward acquires and integrates companies continuously, across multiple jurisdictions and regulatory regimes. Every target arrives with its own controls, its own maturity level and its own audit history, and every one enters our financial statement audit scope on a timeline set by the deal rather than by readiness. Today that work competes for the same people who run controls for the parent company. This role exists so that it has a dedicated owner. This is a build role to uphold the repeatable process for assessing an acquired company against our security baseline, mapping its controls into our compliance frameworks,and setting remediation milestones a newly acquired team can realistically hit. You will then run it, deal after deal, and you are accountable for the work getting done.   THE OPPORTUNITY - Assess each acquisition target against Payward's security baseline, during diligence where deal timelines allow and immediately post-close otherwise - Map the acquired company's existing controls to Payward's control framework, and identify gaps against the external frameworks the entity falls under once in scope - Score control maturity at the entity level and document the basis for each score - Define remediation milestones that are achievable for the acquired team's size and maturity, sequenced by risk reduction rather than by framework order - Track milestones to closure and report status to Security GRC leadership and the M&A Technology Team - Recommend the endpoint for each entity: full migration onto Payward platforms, or uplift to a maturity level the central program can absorb - Load acquired-entity risks into the enterprise risk register and keep them current - Prepare acquired entities for inclusion in external audit scope, including evidence collection and walkthrough support - Act as the Security GRC point of contact for acquired-entity leadership, finance, and internal audit - Maintain policy coverage for acquired entities, including building entity-specific policy libraries where the parent policy set does not apply cleanly - Feed recurring findings back into the diligence process, so later deals are assessed against known patterns - Document the onboarding process so that it is repeatable and not dependent on one person   WHAT WILL YOU DO - Target Assessment - Review target security posture during diligence: control environment, identity and access management, infrastructure, third-party dependencies, and prior audit or examination history - Produce a written assessment of each target against the Payward security baseline, separating the risks that matter to the deal from those that matter to steady-state operations - Give the M&A Technology Team and deal sponsors a clear read on what integration will cost in control remediation terms - Control Mapping and Framework Onboarding - Map acquired controls to Payward's framework and to the external frameworks the entity becomes subject to - Identify which parent-company controls extend to the entity as they are, which need an entity-specific variant, and which have no equivalent at all - Build the entity's policy library where the parent policy set does not cover it - Remediation and Milestones - Set milestones the acquired team can meet, each with a date, an owner, and a stated risk reduction - Sequence work so that the highest-risk gaps close first rather than the easiest ones - Run the cadence for tracking remediation and escalating overdue or material risks Prepare proposed risk acceptances, including the rationale and compensating controls, and present them to leadership for decision - Program Integration - Prepare entities for external audit inclusion and support fieldwork - Keep acquired-entity risk visible in the enterprise risk register and in Security GRC reporting - Hand each entity over to central GRC coverage once its maturity supports it, with the handover documented - Integrate 3rd parties and vendors into Payward WHAT YOU BRING - 5-7+ years in security governance, IT risk, or compliance, including regulated financial services, fintech, or virtual asset environments - Direct experience onboarding an acquired company into an existing controls or compliance program. This is the core of the role - Working knowledge of SOX/ICFR IT general controls and what external auditors accept as evidence - Experience with at least two of ISO 27001, SOC 1, SOC 2, and PCI DSS, including mapping controls across frameworks - Ability to assess control maturity and set remediation plans the receiving team completes, including teams below Payward's maturity level - Hands-on delivery: you write the scope, collect the evidence, and close gaps yourself when needed - Sound judgment on priorities with incomplete information, and the sense to escalate decisions that need leadership - Ability to build working relationships with control owners in IAM, infrastructure, and engineering - Ability to translate control gaps into risk language that deal teams and executives can act on - Strong project management across cross-functional, distributed teams - Preferred - CISA, CRISC, CISM, CISSP, or ISO 27001 Lead Implementer - M&A or post-merger technology integration experience - Familiarity with PKM   WHY THIS ROLE - You will own a domain end to end rather than supporting someone else's. There is no incumbent process and no one else doing this work today - Acquisitions are one of the fastest-moving parts of the business, and security integration sits on the critical path for each one - You will work directly with deal teams, acquired-company leadership, external auditors, and Security GRC leadership, with visibility into how acquisitions are evaluated and closed - Payward is preparing for public company reporting, which means the controls you put in place at acquired entities are the ones external auditors will test - The scope of this role grows with the acquisition pipeline, across jurisdictions and regulatory regimes - You will join a remote-first, international team Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom; Brazil; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We are looking for a Security GRC Lead to own security governance, risk, and compliance across Payward's acquisitions. You will be the accountable owner for bringing each acquired company from its own control environment into ours, working with the M&A Technology Team from diligence through to either full platform migration or steady-state coverage under our central program. Payward acquires and integrates companies continuously, across multiple jurisdictions and regulatory regimes. Every target arrives with its own controls, its own maturity level and its own audit history, and every one enters our financial statement audit scope on a timeline set by the deal rather than by readiness. Today that work competes for the same people who run controls for the parent company. This role exists so that it has a dedicated owner. This is a build role to uphold the repeatable process for assessing an acquired company against our security baseline, mapping its controls into our compliance frameworks,and setting remediation milestones a newly acquired team can realistically hit. You will then run it, deal after deal, and you are accountable for the work getting done.   THE OPPORTUNITY - Assess each acquisition target against Payward's security baseline, during diligence where deal timelines allow and immediately post-close otherwise - Map the acquired company's existing controls to Payward's control framework, and identify gaps against the external frameworks the entity falls under once in scope - Score control maturity at the entity level and document the basis for each score - Define remediation milestones that are achievable for the acquired team's size and maturity, sequenced by risk reduction rather than by framework order - Track milestones to closure and report status to Security GRC leadership and the M&A Technology Team - Recommend the endpoint for each entity: full migration onto Payward platforms, or uplift to a maturity level the central program can absorb - Load acquired-entity risks into the enterprise risk register and keep them current - Prepare acquired entities for inclusion in external audit scope, including evidence collection and walkthrough support - Act as the Security GRC point of contact for acquired-entity leadership, finance, and internal audit - Maintain policy coverage for acquired entities, including building entity-specific policy libraries where the parent policy set does not apply cleanly - Feed recurring findings back into the diligence process, so later deals are assessed against known patterns - Document the onboarding process so that it is repeatable and not dependent on one person   WHAT WILL YOU DO - Target Assessment - Review target security posture during diligence: control environment, identity and access management, infrastructure, third-party dependencies, and prior audit or examination history - Produce a written assessment of each target against the Payward security baseline, separating the risks that matter to the deal from those that matter to steady-state operations - Give the M&A Technology Team and deal sponsors a clear read on what integration will cost in control remediation terms - Control Mapping and Framework Onboarding - Map acquired controls to Payward's framework and to the external frameworks the entity becomes subject to - Identify which parent-company controls extend to the entity as they are, which need an entity-specific variant, and which have no equivalent at all - Build the entity's policy library where the parent policy set does not cover it - Remediation and Milestones - Set milestones the acquired team can meet, each with a date, an owner, and a stated risk reduction - Sequence work so that the highest-risk gaps close first rather than the easiest ones - Run the cadence for tracking remediation and escalating overdue or material risks Prepare proposed risk acceptances, including the rationale and compensating controls, and present them to leadership for decision - Program Integration - Prepare entities for external audit inclusion and support fieldwork - Keep acquired-entity risk visible in the enterprise risk register and in Security GRC reporting - Hand each entity over to central GRC coverage once its maturity supports it, with the handover documented - Integrate 3rd parties and vendors into Payward WHAT YOU BRING - 5-7+ years in security governance, IT risk, or compliance, including regulated financial services, fintech, or virtual asset environments - Direct experience onboarding an acquired company into an existing controls or compliance program. This is the core of the role - Working knowledge of SOX/ICFR IT general controls and what external auditors accept as evidence - Experience with at least two of ISO 27001, SOC 1, SOC 2, and PCI DSS, including mapping controls across frameworks - Ability to assess control maturity and set remediation plans the receiving team completes, including teams below Payward's maturity level - Hands-on delivery: you write the scope, collect the evidence, and close gaps yourself when needed - Sound judgment on priorities with incomplete information, and the sense to escalate decisions that need leadership - Ability to build working relationships with control owners in IAM, infrastructure, and engineering - Ability to translate control gaps into risk language that deal teams and executives can act on - Strong project management across cross-functional, distributed teams - Preferred - CISA, CRISC, CISM, CISSP, or ISO 27001 Lead Implementer - M&A or post-merger technology integration experience - Familiarity with PKM   WHY THIS ROLE - You will own a domain end to end rather than supporting someone else's. There is no incumbent process and no one else doing this work today - Acquisitions are one of the fastest-moving parts of the business, and security integration sits on the critical path for each one - You will work directly with deal teams, acquired-company leadership, external auditors, and Security GRC leadership, with visibility into how acquisitions are evaluated and closed - Payward is preparing for public company reporting, which means the controls you put in place at acquired entities are the ones external auditors will test - The scope of this role grows with the acquisition pipeline, across jurisdictions and regulatory regimes - You will join a remote-first, international team       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United States Workplace: Remote Coder is hiring a Senior Product Manager to own Workflows and Integrations, two of the newest surfaces in Coder Agents. You'll take charters that are close to a blank page and give them a strategy. Workflows is the automation layer for the AI software development lifecycle. It owns how the development work a team repeats every day becomes something agents run for them, and how our users author, reuse, and share those automations. Integrations is the connective tissue that lets our agents reach outward and outside tools reach in. First-party product integrations such as Slack and Linear, connectors to the external tools our customers already run, and the API and auth work that makes each of those feel like a first-class part of the product. You'll define vision and strategy where it's still nascent, then bring enough structure to scale without slowing momentum. You'll partner closely with engineering, design, and go-to-market teams to ship and measure impact. We're running lean on process by design, so expect to build judgment, not bureaucracy. What you'll do here - Own the full product lifecycle for Workflows and Integrations, from incubating ideas through GA and into ongoing scale, including the sequencing between the two. - Define and evolve product vision and strategy for both charters, synthesizing customer, market, and business signals into a clear roadmap. - Define what development work is worth automating first, and what it takes for a team to trust an agent to run it unattended. - Own the integration surface as a product: which third-party tools our agents can reach, and what partners need to build against us. - Research customer problems through direct engagement with enterprise accounts, community feedback, and ecosystem analysis. - Bring just enough structure to move fast without losing rigor: strong problem statements, crisp requirements, clear execution. - Lead high-stakes customer conversations, including executive roadmap reviews, product demos, and enterprise stakeholder discussions. - Collaborate with PMM to shape licensing, packaging, and pricing decisions that support these surfaces' path to sustainable growth. What we're looking for - 5+ years of experience building software products end-to-end, with clear customer and business outcomes, at least three of them on developer-facing or infrastructure products. - You've built products where developers or platform and DevOps operators were the adopting users. Developer platforms, CI/CD, workflow and orchestration systems, API and integration platforms, infrastructure-as-code, or cloud infrastructure. - You've taken an agentic or LLM product to production, and can talk concretely about tool design, evaluations, and the ways your agents failed. - You've owned a platform, API, or extensibility surface that other people built on top of, and you understand the versioning, auth, and governance trade-offs that come with it. - Proven experience taking a product from zero to GA, setting direction where little exists yet. - Experience shipping into enterprise engineering organisations, where the adopter is a developer and the buyer is a platform or engineering leader. - A strong technical foundation that lets you collaborate credibly with engineers and make informed trade-offs. - Proven ability to operate independently and set the agenda with minimal oversight. - Willingness to travel occasionally for customer and industry engagements. Bonus tacos if you have - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience with automation or orchestration products such as CI systems, data pipelines, RPA, or agent frameworks. - Experience with pricing strategy, licensing models, onboarding funnels, or open-core business models. - Experience across both startup and larger-scale organizations. - Comfort representing Coder externally through talks, writing, or other public channels. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: United Kingdom Workplace: Remote You'll make Coder easy to buy, deploy, integrate, and operate at the world's largest organizations. Partnering with another Product Manager in the Enterprise Experience theme, you'll help enterprises confidently adopt safe, secure, and governed development environments for humans and AI agents alike. You'll co-own the strategy for making Coder a first-class citizen in complex enterprise ecosystems. You'll work with engineering, security, sales, and customer-facing teams to turn enterprise challenges into product capabilities, removing barriers to adoption and ensuring Coder scales reliably in demanding environments. What you'll do - Co-own the Enterprise Experience charter with another Product Manager, sharing responsibility for strategy, prioritization, execution, and outcomes - Define and evolve the product strategy for enterprise readiness, turning customer needs and market expectations into a clear roadmap - Identify and eliminate technical, security, compliance, and operational barriers preventing enterprises from adopting Coder - Shape how Coder is deployed and operated at scale, including reference architectures, high availability, upgrades, and lifecycle management - Drive integrations with enterprise systems for identity, access management, application lifecycle management, reporting, and collaboration - Translate enterprise security, compliance, and governance requirements into product capabilities that enable safe development for humans and AI agents - Engage directly with enterprise customers and field teams, distinguishing recurring product needs from one-off requests - Lead strategic customer conversations, including executive roadmap reviews, technical evaluations, and enterprise deployment discussions What we're looking for - 5+ years building software products end-to-end with clear customer and business outcomes, including at least 3 years on developer-facing, infrastructure, or enterprise platform products - Experience building products for enterprise IT, platform engineering, DevOps, or security teams - Understanding of how large organizations evaluate, procure, deploy, and operate software - Familiarity with enterprise infrastructure concepts such as Kubernetes, cloud and hybrid deployments, high availability, authentication, authorization, and lifecycle management - Experience translating enterprise security, compliance, or regulatory requirements into practical product capabilities - Understanding of enterprise integrations, interoperability, and the trade-offs between security, compatibility, and maintainability - Experience working with enterprise engineering organizations where developers are the users but platform engineering, IT, security, and leadership influence purchasing decisions - Strong technical foundation enabling credible collaboration with engineers and architects - Ability to operate independently, collaborate effectively with other PMs, and drive complex initiatives with minimal oversight - Willingness to travel occasionally for customer and industry engagements Bonus tacos if you have (Tacos? Ask us how we say thanks by giving tacos!) - Experience with security and compliance frameworks such as SOC 2, ISO 27001, FedRAMP, HIPAA, or GDPR - Hands-on familiarity with Kubernetes, infrastructure-as-code, or enterprise deployment architectures - Experience building products for regulated industries such as financial services, healthcare, or government - Familiarity with air-gapped environments, sovereign AI, data residency, or self-hosted AI infrastructure - Experience with enterprise procurement, technical sales enablement, or complex customer evaluations ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Remote Ireland; Remote, Austria; Remote, France; Remote, Germany; Remote, Netherlands; Remote, Spain; Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role GitLab’s Forward Deployed Engineering team is a field-situated product engineering function focused on strategic customer outcomes, artificial intelligence (AI) adoption, and direct contributions to GitLab’s product. This isn't a traditional field engineering, solutions architecture, or professional services role. As a Staff Forward Deployed Engineer, you'll work closely with customers while maintaining the technical standards and contribution discipline of a Staff-level product engineer. You'll work where strategic customer urgency, complex technical ambiguity, and GitLab product execution intersect. You'll partner directly with strategic customers and teams across Product, Engineering, Support, Site Reliability Engineering (SRE), Solutions Architecture (SA), Customer Success Architecture (CSA), Customer Success Management (CSM), and Professional Services. You'll diagnose and resolve high-impact adoption blockers, contribute production-quality fixes and features, and turn what you learn into repeatable patterns for GitLab and its customers. Why this role exists Strategic customers sometimes encounter challenges that are too broad, deep, urgent, or cross-functional for any single team to own from start to finish. These challenges may involve product gaps, performance degradation, scale bottlenecks, AI governance, adoption blockers, architectural constraints, Git usage patterns, continuous integration and continuous delivery (CI/CD) complexity, application programming interface (API) automation, security requirements, or operational instability. Forward Deployed Engineering provides technical stewardship in these moments. The team doesn't simply observe, report, or escalate. You'll engage directly, diagnose the underlying technical problem, collaborate with the right teams, contribute code or technical solutions where appropriate, and transition the outcome into normal ownership once the customer is stable and the learning can be reused. What you’ll do Product contribution Contribute production-quality code to GitLab’s product and adjacent systems. Develop bug fixes, features, integrations, tooling, and performance improvements when strategic customer outcomes require direct engineering work. Work within GitLab’s product and engineering processes, including issue discovery, merge request creation, testing, review, documentation, and maintainability. Partner with Product and Engineering so customer-driven solutions support long-term product direction rather than becoming one-off customizations. Turn blockers discovered in the field into durable product improvements, reference architectures, documentation, and repeatable implementation patterns. Strategic technical stewardship Engage with strategically important customers when adoption, retention, executive confidence, or public trust is materially at risk. Diagnose complex problems across GitLab product behavior, customer architecture, Git internals, CI/CD workflows, API usage, observability, infrastructure, networking, and cloud environments. Coordinate across Product, Engineering, SRE, Support, SA, CSA, CSM, Professional Services, and customer technical teams to drive resolution from discovery through handoff. Provide recommendations grounded in data, traces, and systems analysis to improve GitLab usage, workflows, automation, and architecture. Create durable outcomes without establishing permanent dependency on Forward Deployed Engineering. AI adoption and agentic software development lifecycle Drive governed, measurable, and production-oriented adoption of GitLab Duo Agent Platform with strategic customers. Identify and resolve AI adoption blockers involving governance, usage controls, auditability, security, compliance, operating models, workflow design, and integrations. Develop customer-safe adoption patterns for the agentic software development lifecycle (SDLC), AI-assisted development, intent-based review, AI governance, and human-in-the-loop software delivery. Partner with Product, Engineering, Field, and Customer Success teams to turn AI adoption learning into reusable guidance and product improvements. Thought leadership Create technical narratives grounded in customer experience and product reality that can help shape the industry’s approach. Contribute to Well-Architected Frameworks, whitepapers, webinars, reference architectures, technical strategy memos, and adoption frameworks. Guide ideas through discovery, formulation, validation, amplification, and adoption across GitLab. Partner with SA, CSA, Product, Engineering, Marketing, Product Marketing Management, CSM, Support, and executive stakeholders to make technical thought leadership a shared company capability. What you’ll bring Staff-level experience building, operating, or improving complex production software systems. Experience contributing to large, mature product codebases with high standards for testing, maintainability, performance, and security. Strong Ruby on Rails or Go experience and the ability to contribute directly to GitLab’s product and adjacent systems. Experience with AI-assisted software development, agentic workflows, AI governance, model evaluation, context management, prompt and workflow design, or AI adoption in enterprise environments. Experience diagnosing complex system behavior across application code, data stores, infrastructure, observability, networking, APIs, and customer usage patterns. Deep knowledge of modern DevSecOps workflows, including Git, merge requests, CI/CD, security controls, compliance needs, and enterprise software delivery. Experience working with strategic customers or senior technical stakeholders in ambiguous, high-impact situations. The ability to coordinate across product, engineering, field, and customer teams without formal authority. Strong written communication and sound judgment, including the ability to create technical narratives and distinguish reusable product work from customer-specific customization. Strongly preferred qualifications Direct experience with GitLab as a platform, including GitLab.com, GitLab Dedicated, or GitLab Self-Managed. Production experience with Ruby on Rails, Go, PostgreSQL, Redis, Sidekiq, Vue, TypeScript, Kubernetes, Docker, Linux, or observability tools. Deep familiarity with Git internals, repository performance, large-scale Git usage patterns, or GitLab Runner behavior. Experience creating technical thought-leadership materials, such as whitepapers, technical talks, architecture frameworks, requests for comments, public technical writing, or internal strategy documents. A background in performance engineering, site reliability engineering, platform engineering, infrastructure engineering, or distributed systems. Experience working in open source or highly asynchronous engineering environments. Technologies and domains Directly relevant technologies and domains include: Ruby on Rails Go AI-assisted development and the agentic SDLC PostgreSQL Redis and Sidekiq Git internals GitLab CI/CD and Runner architecture Kubernetes and containers Terraform Linux, networking, observability, and performance analysis Vue and TypeScript APIs and automation DevSecOps governance, security, and compliance What this role is not This role isn't: A generic field engineering role. A proof-of-concept factory. A replacement for Solutions Architecture, Customer Success Architecture, Customer Success Management, Professional Services, Support, SRE, Product, or Engineering. A customer-specific customization function. Unbilled Professional Services. A requirements-gathering role that only escalates to Product. An AI evangelism role disconnected from product execution. Success measures Success in this role may include: Stabilizing strategic customer adoption or retention risks. Fixing product bugs or contributing features. Removing AI adoption blockers for strategic accounts. Creating reusable implementation patterns and transitioning them to long-term owners. Producing or enabling Well-Architected Frameworks, whitepapers, webinars, or technical narratives. Resolving cross-functional customer challenges without creating permanent dependency on Forward Deployed Engineering. Equipping Product, Engineering, Support, CSA, CSM, Professional Services, and SA teams with better guidance based on learning from the field. Increasing adoption and effective use of GitLab capabilities, especially GitLab Duo and GitLab Duo Agent Platform, in targeted accounts. About the team The Forward Deployed Engineering team connects strategic customer needs with GitLab product execution. The team works directly with customers and across GitLab to resolve complex adoption challenges, contribute durable product improvements, and create reusable technical guidance. Its goal is to stabilize urgent situations, improve the product, and transition ongoing ownership to the appropriate team rather than create a permanent dependency. Ideal candidate profile You're a Staff-level product or platform engineer who can operate in the field without becoming field-only. You're comfortable reading traces, writing production code, debugging architecture, discussing AI governance, leading a customer technical session, opening a merge request, outlining a whitepaper, and coordinating across teams to achieve a strategic customer outcome. You're not simply a strong communicator with technical awareness. You're a credible engineer with the judgment, presence, and narrative ability to turn customer reality into product contributions, adoption guidance, and company-level thought leadership. We welcome candidates with different backgrounds and levels of experience. Many successful candidates don't meet every qualification. If you're excited about this role, we encourage you to apply and let our recruiting team assess your application. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Netherlands; Norway; Finland; Denmark; Belgium Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. 🎯 Your main goal will be to land and expand n8n inside the world’s largest organisations, closing the biggest deals in our portfolio. As a Large Enterprise Account Executive covering Nordics & Benelux, you will own a territory of global-scale accounts and lead long, complex deals from first conversation to multi-year commitment: BUILD STRATEGIC ACCOUNT PLANS - Build and execute account strategies for organisations with 5,001 or more employees - Open doors with outbound campaigns aimed at CTOs, CIOs and engineering and platform leaders. - Turn community adoption inside large companies into sponsored, funded opportunities. LEAD COMPLEX, MULTI-THREADED DEALS - Run deep discovery, quantify business impact and build an executive-level business case. - Map and align decision makers across engineering, IT, security, legal and procurement. - Partner with Solutions Engineers, Partnerships and Customer Success to prove value and de-risk adoption. CLOSE AND EXPAND AT SCALE - Own the cycle through security, legal and procurement, typically over three to six months or more. - Negotiate six-figure deals with confidence and keep clear commercial control. - Plan expansion across business units and use cases, and share what you learn with Product and leadership. REQUIREMENTS MUST-HAVES - 🏢 Large Enterprise sales: You have at least five years of enterprise SaaS sales experience, selling into organisations with 5,001 or more employees, and you can explain customer size, deal complexity and cycle length. - 💰 Six-figure deals: You have closed multiple deals of £100k+ ACV in multi-stakeholder cycles of three to six months or more. - 🧑‍💻 Technical buyers and executives: You have sold to developers, engineers, CTOs and CIOs, and you can carry a technical conversation and an executive one in the same deal. - 🎯 New-logo hunter: You generate your own pipeline through outbound and win new customers rather than relying on expansion or inbound. - 📈 Track record: You have consistently hit or exceeded quota over the past two to three years. - 🧭 Structured selling: You use a methodology such as MEDDPICC and navigate technical evaluations, procurement, legal and security reviews. - 📍 Location: You are based in the Nordics / Benelux. This role involves regular travel to customers in the region. NICE-TO-HAVES - 🛠️ Technical product background: You have sold developer tools, cloud infrastructure, data, AI or automation platforms. - 🤝 Partner-led deals: You have worked deals with system integrators or cloud partners. - 🚀 Open source or PLG exposure: You understand how community adoption turns into enterprise revenue. Why join us? You will close the largest deals in our portfolio and shape how n8n sells to the world’s biggest organisations, with a product technical teams already use and love. You will work closely with Solutions Engineers, Partnerships, Customer Success and Product, and leadership will listen to what you learn in the field. n8n is growing at an exceptional pace, backed by a vibrant community and a remote-first culture built on autonomy, experimentation and high talent density. Apply now and help us bring AI-powered automation to the global enterprise. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Workplace: remote Requirements At least 5 years of experience in strategic consulting, design, and further development of Data & Analytics solutions and data platforms in complex corporate structures Experience designing and enhancing Power BI and Self-Service Analytics solutions, with strong knowledge of modern data platform architectures in Microsoft Fabric, gained across 3+ projects Experience in the strategic introduction and organizational anchoring of Data & Analytics platforms, especially in the development of target visions, transformation roadmaps, and concepts for company-wide use, from at least one project 3+ years of experience implementing and driving Self-Service Analytics adoption, enabling business users and promoting effective collaboration between business and IT Experience in consulting and implementing Data & Analytics initiatives in the environment of railway companies from at least one project German at native-speaker level Knowledge of English at B2 level or above Nice to have Experience in implementing Microsoft Fabric artifacts such as Lakehouse, Notebooks, and Pipelines from at least 2 projects Experience in using Azure DevOps in connection with Microsoft Fabric from at least one project At least 3 years of experience working within agile project and organizational structures, especially applying agile methods and frameworks (e.g., Scrum, SAFe) Responsibilities Design, implementation, and operation of analytical data solutions using Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, Semantic Models) in line with client standards, security, and operational requirements Development and implementation of reports, dashboards, and analytical applications with Microsoft Power BI and Microsoft Fabric, including data modeling, DAX, visualization, and permission concepts Analysis, evaluation, and prototypical implementation of AI functionalities in Microsoft Fabric, e.g., for data analysis, data preparation, natural-language queries, forecasts, pattern recognition, and automated insight generation Consulting the business department in the analysis of complex requirements, the selection of suitable Fabric, Power BI, and AI functionalities, and the evaluation of technical implementation options Project management and coordination services in an agile project context, especially planning, prioritization, documentation, and tracking of requirements, tasks, risks, and dependencies Creation and maintenance of business and technical documentation on data sources, data models, transformation logic, reports, dashboards, AI use cases, permission concepts, and operational aspects Support of an MS Fabric and Power BI community Conducting enablement formats within the community for the business departments We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Natalya hh@itransition.com