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Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. About Grafana Labs: There are more than 700,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include more open-source projects, including Grafana Loki (for logs) and Grafana Tempo (for traces) and Grafana Mimir (for metrics). Description of Duties We’re looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for a range of products and audiences, from first-time users to experienced practitioners. Because our products and priorities evolve, we’re looking for someone who learns new technical domains quickly. AI is part of how this team works. We use AI-assisted workflows and tools throughout the content lifecycle, from research and drafting to review, validation, and maintenance. You’ll use these tools every day and help the team get better at using them. Key Responsibilities Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports adoption and long-term product mastery. Use AI tools and workflows to work faster and at a higher quality: drafting, structuring, technical validation, consistency checks, and keeping content current. You apply human judgment to everything AI produces and take responsibility for its accuracy. Contribute to the team’s shared AI workflows and skills, and look for ways to improve and automate how we create and maintain content as tools and models evolve. Partner with engineers, PMs, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical detail into clear, accurate content. Test what you document. Run the software, follow your own procedures, and flag product and UX gaps you find along the way. Let data guide your priorities. We have strong docs and learning analytics. You’ll use them, along with user feedback, to find content gaps, prioritize your work, and show the impact of what you ship. Work with the documentation manager and other writers to improve information architecture, voice, and consistency across our docs, and to make information easy to find for both people and AI-driven search and assistants. Manage several projects at once, using judgment to prioritize and communicate clearly when the plan changes. Mentor teammates and share practices that raise the quality of the team’s work. Requirements What experience would make someone be successful in this role? Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples that show technical depth. Hands-on experience using AI tools and models in your writing workflow (such as LLM assistants, agentic coding tools, or custom prompts and skills), and the ability to explain how you evaluate and verify their output. Experience working with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs. Comfort working in technical environments. You can set up, run, and troubleshoot software yourself to verify what you write (for example, command line, containers, or Kubernetes, or a willingness to learn quickly). Experience collaborating with engineers and product managers to get accurate technical information. Experience working remotely and asynchronously on a distributed team. What you’ll bring to the role Curiosity about AI as a craft. You treat AI workflows as a professional skill. You experiment, share what works, and know where AI helps and where it doesn’t. Technical credibility. You care about accuracy, you learn new technical domains quickly, and you ask questions until you understand them. Strong judgment and editing skills. You can tell good content from plausible-sounding content, and you hold the line on quality. Ownership. You manage multiple projects and work well both independently and collaboratively. Clarity. You write concisely and plainly for readers of all experience levels. Bonus: Experience with observability, monitoring, or cloud-native tooling, or contributing to open source documentation. Equal Opportunity Employer At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. In the UK, the Base compensation range for this role is GBP 81,000 - GBP 97,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 What you’ll bring to the role You’re an enthusiast for technically accurate content, you’re unafraid of managing multiple projects, and you enjoy working both collaboratively and independently. You have a well-used copy of “The Elements of Style”. In the US, the Base compensation range for this role is $ 123,933 - $ 148,719 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 *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. About Grafana Labs: There are more than 700,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include more open-source projects, including Grafana Loki (for logs) and Grafana Tempo (for traces) and Grafana Mimir (for metrics). Description of Duties We’re looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for a range of products and audiences, from first-time users to experienced practitioners. Because our products and priorities evolve, we’re looking for someone who learns new technical domains quickly. AI is part of how this team works. We use AI-assisted workflows and tools throughout the content lifecycle, from research and drafting to review, validation, and maintenance. You’ll use these tools every day and help the team get better at using them. Key Responsibilities Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports adoption and long-term product mastery. Use AI tools and workflows to work faster and at a higher quality: drafting, structuring, technical validation, consistency checks, and keeping content current. You apply human judgment to everything AI produces and take responsibility for its accuracy. Contribute to the team’s shared AI workflows and skills, and look for ways to improve and automate how we create and maintain content as tools and models evolve. Partner with engineers, PMs, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical detail into clear, accurate content. Test what you document. Run the software, follow your own procedures, and flag product and UX gaps you find along the way. Let data guide your priorities. We have strong docs and learning analytics. You’ll use them, along with user feedback, to find content gaps, prioritize your work, and show the impact of what you ship. Work with the documentation manager and other writers to improve information architecture, voice, and consistency across our docs, and to make information easy to find for both people and AI-driven search and assistants. Manage several projects at once, using judgment to prioritize and communicate clearly when the plan changes. Mentor teammates and share practices that raise the quality of the team’s work. Requirements What experience would make someone be successful in this role? Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples that show technical depth. Hands-on experience using AI tools and models in your writing workflow (such as LLM assistants, agentic coding tools, or custom prompts and skills), and the ability to explain how you evaluate and verify their output. Experience working with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs. Comfort working in technical environments. You can set up, run, and troubleshoot software yourself to verify what you write (for example, command line, containers, or Kubernetes, or a willingness to learn quickly). Experience collaborating with engineers and product managers to get accurate technical information. Experience working remotely and asynchronously on a distributed team. What you’ll bring to the role Curiosity about AI as a craft. You treat AI workflows as a professional skill. You experiment, share what works, and know where AI helps and where it doesn’t. Technical credibility. You care about accuracy, you learn new technical domains quickly, and you ask questions until you understand them. Strong judgment and editing skills. You can tell good content from plausible-sounding content, and you hold the line on quality. Ownership. You manage multiple projects and work well both independently and collaboratively. Clarity. You write concisely and plainly for readers of all experience levels. Bonus: Experience with observability, monitoring, or cloud-native tooling, or contributing to open source documentation. Equal Opportunity Employer At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. In the UK, the Base compensation range for this role is GBP 81,000 - GBP 97,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 *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: 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. About Grafana Labs: There are more than 700,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include more open-source projects, including Grafana Loki (for logs) and Grafana Tempo (for traces) and Grafana Mimir (for metrics). Description of Duties We’re looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for a range of products and audiences, from first-time users to experienced practitioners. Because our products and priorities evolve, we’re looking for someone who learns new technical domains quickly. AI is part of how this team works. We use AI-assisted workflows and tools throughout the content lifecycle, from research and drafting to review, validation, and maintenance. You’ll use these tools every day and help the team get better at using them. Key Responsibilities Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports adoption and long-term product mastery. Use AI tools and workflows to work faster and at a higher quality: drafting, structuring, technical validation, consistency checks, and keeping content current. You apply human judgment to everything AI produces and take responsibility for its accuracy. Contribute to the team’s shared AI workflows and skills, and look for ways to improve and automate how we create and maintain content as tools and models evolve. Partner with engineers, PMs, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical detail into clear, accurate content. Test what you document. Run the software, follow your own procedures, and flag product and UX gaps you find along the way. Let data guide your priorities. We have strong docs and learning analytics. You’ll use them, along with user feedback, to find content gaps, prioritize your work, and show the impact of what you ship. Work with the documentation manager and other writers to improve information architecture, voice, and consistency across our docs, and to make information easy to find for both people and AI-driven search and assistants. Manage several projects at once, using judgment to prioritize and communicate clearly when the plan changes. Mentor teammates and share practices that raise the quality of the team’s work. Requirements What experience would make someone be successful in this role? Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples that show technical depth. Hands-on experience using AI tools and models in your writing workflow (such as LLM assistants, agentic coding tools, or custom prompts and skills), and the ability to explain how you evaluate and verify their output. Experience working with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs. Comfort working in technical environments. You can set up, run, and troubleshoot software yourself to verify what you write (for example, command line, containers, or Kubernetes, or a willingness to learn quickly). Experience collaborating with engineers and product managers to get accurate technical information. Experience working remotely and asynchronously on a distributed team. What you’ll bring to the role Curiosity about AI as a craft. You treat AI workflows as a professional skill. You experiment, share what works, and know where AI helps and where it doesn’t. Technical credibility. You care about accuracy, you learn new technical domains quickly, and you ask questions until you understand them. Strong judgment and editing skills. You can tell good content from plausible-sounding content, and you hold the line on quality. Ownership. You manage multiple projects and work well both independently and collaboratively. Clarity. You write concisely and plainly for readers of all experience levels. Bonus: Experience with observability, monitoring, or cloud-native tooling, or contributing to open source documentation. Equal Opportunity Employer At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. In Spain, the Base compensation range for this role is EUR 73,000 -  88,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 *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. About Grafana Labs: There are more than 700,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include more open-source projects, including Grafana Loki (for logs) and Grafana Tempo (for traces) and Grafana Mimir (for metrics). Description of Duties We’re looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for a range of products and audiences, from first-time users to experienced practitioners. Because our products and priorities evolve, we’re looking for someone who learns new technical domains quickly. AI is part of how this team works. We use AI-assisted workflows and tools throughout the content lifecycle, from research and drafting to review, validation, and maintenance. You’ll use these tools every day and help the team get better at using them. Key Responsibilities Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports adoption and long-term product mastery. Use AI tools and workflows to work faster and at a higher quality: drafting, structuring, technical validation, consistency checks, and keeping content current. You apply human judgment to everything AI produces and take responsibility for its accuracy. Contribute to the team’s shared AI workflows and skills, and look for ways to improve and automate how we create and maintain content as tools and models evolve. Partner with engineers, PMs, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical detail into clear, accurate content. Test what you document. Run the software, follow your own procedures, and flag product and UX gaps you find along the way. Let data guide your priorities. We have strong docs and learning analytics. You’ll use them, along with user feedback, to find content gaps, prioritize your work, and show the impact of what you ship. Work with the documentation manager and other writers to improve information architecture, voice, and consistency across our docs, and to make information easy to find for both people and AI-driven search and assistants. Manage several projects at once, using judgment to prioritize and communicate clearly when the plan changes. Mentor teammates and share practices that raise the quality of the team’s work. Requirements What experience would make someone be successful in this role? Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples that show technical depth. Hands-on experience using AI tools and models in your writing workflow (such as LLM assistants, agentic coding tools, or custom prompts and skills), and the ability to explain how you evaluate and verify their output. Experience working with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs. Comfort working in technical environments. You can set up, run, and troubleshoot software yourself to verify what you write (for example, command line, containers, or Kubernetes, or a willingness to learn quickly). Experience collaborating with engineers and product managers to get accurate technical information. Experience working remotely and asynchronously on a distributed team. What you’ll bring to the role Curiosity about AI as a craft. You treat AI workflows as a professional skill. You experiment, share what works, and know where AI helps and where it doesn’t. Technical credibility. You care about accuracy, you learn new technical domains quickly, and you ask questions until you understand them. Strong judgment and editing skills. You can tell good content from plausible-sounding content, and you hold the line on quality. Ownership. You manage multiple projects and work well both independently and collaboratively. Clarity. You write concisely and plainly for readers of all experience levels. Bonus: Experience with observability, monitoring, or cloud-native tooling, or contributing to open source documentation. Equal Opportunity Employer At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. In the ROI, the Base compensation range for this role is EUR 92,000 -  110,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 *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: Germany (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. About Grafana Labs: There are more than 700,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include more open-source projects, including Grafana Loki (for logs) and Grafana Tempo (for traces) and Grafana Mimir (for metrics). Description of Duties We’re looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for a range of products and audiences, from first-time users to experienced practitioners. Because our products and priorities evolve, we’re looking for someone who learns new technical domains quickly. AI is part of how this team works. We use AI-assisted workflows and tools throughout the content lifecycle, from research and drafting to review, validation, and maintenance. You’ll use these tools every day and help the team get better at using them. Key Responsibilities Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports adoption and long-term product mastery. Use AI tools and workflows to work faster and at a higher quality: drafting, structuring, technical validation, consistency checks, and keeping content current. You apply human judgment to everything AI produces and take responsibility for its accuracy. Contribute to the team’s shared AI workflows and skills, and look for ways to improve and automate how we create and maintain content as tools and models evolve. Partner with engineers, PMs, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical detail into clear, accurate content. Test what you document. Run the software, follow your own procedures, and flag product and UX gaps you find along the way. Let data guide your priorities. We have strong docs and learning analytics. You’ll use them, along with user feedback, to find content gaps, prioritize your work, and show the impact of what you ship. Work with the documentation manager and other writers to improve information architecture, voice, and consistency across our docs, and to make information easy to find for both people and AI-driven search and assistants. Manage several projects at once, using judgment to prioritize and communicate clearly when the plan changes. Mentor teammates and share practices that raise the quality of the team’s work. Requirements What experience would make someone be successful in this role? Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples that show technical depth. Hands-on experience using AI tools and models in your writing workflow (such as LLM assistants, agentic coding tools, or custom prompts and skills), and the ability to explain how you evaluate and verify their output. Experience working with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs. Comfort working in technical environments. You can set up, run, and troubleshoot software yourself to verify what you write (for example, command line, containers, or Kubernetes, or a willingness to learn quickly). Experience collaborating with engineers and product managers to get accurate technical information. Experience working remotely and asynchronously on a distributed team. What you’ll bring to the role Curiosity about AI as a craft. You treat AI workflows as a professional skill. You experiment, share what works, and know where AI helps and where it doesn’t. Technical credibility. You care about accuracy, you learn new technical domains quickly, and you ask questions until you understand them. Strong judgment and editing skills. You can tell good content from plausible-sounding content, and you hold the line on quality. Ownership. You manage multiple projects and work well both independently and collaboratively. Clarity. You write concisely and plainly for readers of all experience levels. Bonus: Experience with observability, monitoring, or cloud-native tooling, or contributing to open source documentation. Equal Opportunity Employer At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. In Germany, the Base compensation range for this role is EUR 85,000 -  102,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 *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: Canada (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. About Grafana Labs: There are more than 700,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include more open-source projects, including Grafana Loki (for logs) and Grafana Tempo (for traces) and Grafana Mimir (for metrics). Description of Duties We’re looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for a range of products and audiences, from first-time users to experienced practitioners. Because our products and priorities evolve, we’re looking for someone who learns new technical domains quickly. AI is part of how this team works. We use AI-assisted workflows and tools throughout the content lifecycle, from research and drafting to review, validation, and maintenance. You’ll use these tools every day and help the team get better at using them. Key Responsibilities Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports adoption and long-term product mastery. Use AI tools and workflows to work faster and at a higher quality: drafting, structuring, technical validation, consistency checks, and keeping content current. You apply human judgment to everything AI produces and take responsibility for its accuracy. Contribute to the team’s shared AI workflows and skills, and look for ways to improve and automate how we create and maintain content as tools and models evolve. Partner with engineers, PMs, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical detail into clear, accurate content. Test what you document. Run the software, follow your own procedures, and flag product and UX gaps you find along the way. Let data guide your priorities. We have strong docs and learning analytics. You’ll use them, along with user feedback, to find content gaps, prioritize your work, and show the impact of what you ship. Work with the documentation manager and other writers to improve information architecture, voice, and consistency across our docs, and to make information easy to find for both people and AI-driven search and assistants. Manage several projects at once, using judgment to prioritize and communicate clearly when the plan changes. Mentor teammates and share practices that raise the quality of the team’s work. Requirements What experience would make someone be successful in this role? Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples that show technical depth. Hands-on experience using AI tools and models in your writing workflow (such as LLM assistants, agentic coding tools, or custom prompts and skills), and the ability to explain how you evaluate and verify their output. Experience working with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs. Comfort working in technical environments. You can set up, run, and troubleshoot software yourself to verify what you write (for example, command line, containers, or Kubernetes, or a willingness to learn quickly). Experience collaborating with engineers and product managers to get accurate technical information. Experience working remotely and asynchronously on a distributed team. What you’ll bring to the role Curiosity about AI as a craft. You treat AI workflows as a professional skill. You experiment, share what works, and know where AI helps and where it doesn’t. Technical credibility. You care about accuracy, you learn new technical domains quickly, and you ask questions until you understand them. Strong judgment and editing skills. You can tell good content from plausible-sounding content, and you hold the line on quality. Ownership. You manage multiple projects and work well both independently and collaboratively. Clarity. You write concisely and plainly for readers of all experience levels. Bonus: Experience with observability, monitoring, or cloud-native tooling, or contributing to open source documentation. Equal Opportunity Employer At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. In Canada, the Base compensation range for this role is CAD 145,000 - 178,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Production Engineering embeds with product and platform teams across Figma to help them deliver reliable products faster. Our work spans the stack, from browser performance to backend services and infrastructure. We build tools and practices that reduce operational complexity, clarify important signals, and leave teams confident operating their systems. We value curiosity, thoughtful engineering, and practical progress on problems that matter to the business. As Engineering Manager, you’ll own the team’s strategy, priorities, delivery, and people development. You’ll work with product and platform leaders to decide where the team can make the biggest difference, balancing immediate production needs with lasting improvements. You’ll use your technical judgment to challenge assumptions and assess risk while giving engineers room to lead. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Coach and develop production engineers, including experienced technical leaders, through direct feedback and opportunities to shape technical strategy and lead work across teams Set priorities and guide delivery for the team’s embedded work with Figma’s product and platform organizations. Align partners on outcomes, responsibilities, and tradeoffs, and resolve competing demands Guide improvements to observability, incident response, and production tooling that reduce recurring toil, surface actionable signals, and make services easier for product teams to understand and operate Partner with engineers on long-term technical direction, design, and production reviews, supporting their ownership of technical decisions and holding the team accountable for delivery Anticipate reliability and scaling challenges alongside partner-team leaders, and prioritize improvements that support upcoming product goals Turn lessons from work with product teams and production incidents into reusable tools and practices that strengthen partner teams’ ownership and make on-call more sustainable We’d love to hear from you if you have: Experience managing engineering teams and developing senior engineers, helping them grow their technical judgment, leadership, and impact Experience building and operating complex software systems at scale, with the technical judgment to guide decisions across the stack and learn unfamiliar systems Experience leading complex initiatives across engineering teams and cross-functional partners, earning trust beyond your reporting line, resolving competing priorities, and delivering shared business goals Sound judgment about reliability, security, and sustainable operations, with clear communication and respect for engineers’ technical ownership While it’s not required, it’s an added plus if you also have: Experience building shared reliability platforms, observability or distributed tracing systems, or tooling that reduces toil across multiple engineering teams Familiarity with traffic management, service discovery or service meshes, container orchestration, infrastructure as code, or capacity and performance engineering Experience improving incident response processes and reducing on-call burden At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB Mistral AI is seeking Applied Scientists and Research Engineers focused on robotics. You will design, train, and deploy SOTA robotics models (VLM, VLA models for navigation and manipulation) and apply them to diverse use cases. You'll work cross-functionally with internal and external science, engineering, and product teams to deliver high-impact AI solutions. WHAT YOU WILL DO - Run pre-training, post-training and deploy state of the art models on large clusters. - Generate and curate datasets (image-text, video-text), and build evaluators/benchmarks for perception, navigation and manipulation tasks. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases. - Manage research projects and communications with client research teams. ABOUT YOU - Fluent in English with excellent communication skills. - Expert with PyTorch or JAX. - Experience with Vision Language Models (VLM), Vision-Language-Action (VLA) models, perception, navigation and manipulation, simulation tools (e.g. Isaac SIM). - Clean, readable, high-performance Python code. - Doesn't need roadmaps. Ships. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - PhD / Master in a relevant field (Robotics, Machine Learning). - Research experience in robotics navigation, perception, manipulation. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: United States Workplace: Remote As an Engineering Manager on Coder’s Agentic Engineering team, you’ll lead engineers building and evolving the systems behind our agentic development experience. You’ll help make agents more capable, reliable, and useful across real development environments. You’ll guide technical direction, grow the team, and keep execution sharp. You’ll work closely with Engineering, Product, and Design across the agent harness, integrations, and developer workflows. This position is required to be in the US Eastern Time Zone.   WHAT YOU’LL DO HERE - Lead and grow a team within our Agentic Engineering organization. - Set technical direction across the agent harness, integrations, and workflows. - Stay close to the code and contribute to architecture and implementation decisions. - Evolve agent execution, tool use, context management, streaming, and long-running workflows. - Extend our provider-agnostic architecture as models and capabilities change. - Partner with Product and Design to turn agent capabilities into useful developer experiences. - Improve reliability, performance, and operability across agentic systems. - Coach engineers, raise the technical bar, and create clarity around priorities and tradeoffs.   WHAT WE’RE LOOKING FOR - Experience managing and growing software engineering teams. - Strong hands-on engineering experience with Go. - Experience with React and TypeScript. - Hands-on experience building systems around LLMs and agentic workflows. - Experience with model APIs, tool calling, context management, or agent loops. - Strong distributed systems knowledge. - Working knowledge of AWS. - Strong technical judgment and comfort working through ambiguity. - A track record of helping engineers grow while maintaining a high execution bar.   OUR TECH STACK - Backend: Go, Postgres - Frontend: TypeScript, React - Infrastructure: AWS, Kubernetes - Observability: Prometheus, Grafana - CI/CD: GitHub Actions   BONUS TACOS IF YOU HAVE - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience building coding agents, developer tools, or cloud development environments. - Experience with MCP, agent tools, or multi-agent systems. - Experience with remote execution, sandboxing, or isolated compute. - Experience building abstractions across multiple model providers. - Deep experience with AWS, Kubernetes, Docker, or Linux. - Open-source contributions or experience working directly with customers. Coder’s agentic architecture is provider-agnostic. The foundation is built; this team is focused on making it more capable, reliable, and extensible as the space evolves. 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.

Aleph Alpha is looking for Senior AI Researchers to develop and evaluate post-training methods that reduce LLM hallucinations and improve reliability.

Location: Germany; Portugal; France; Spain; Italy; The Netherlands Workplace: Hybrid WHY SDK ENGINEERING AT LANGFUSE YOUR WORK WILL HAVE AN OUTSIZED IMPACT. Our SDKs are downloaded 26M+ times per month. When you ship a new integration or improve SDK performance, thousands of developers benefit the same day — and they'll tell you about it in GitHub issues, on Twitter, and in our community channels. Everything you build is open source (MIT-licensed) and immediately visible. The SDK is often the very first thing a developer touches when they try Langfuse, so your work directly shapes their first impression. You will also have direct exposure to how cutting-edge LLM-applications are built. The users you serve are some of the best and most ambitious software engineers in the world and that leverage Langfuse to improve their applications. Deeply understanding the problems they solve will help you design the best possible SDK experience and along the way makes you an expert on LLM engineering yourself.   YOU WILL GROW AT LANGFUSE BY - Owning our SDKs. We maintain SDKs in Python and TypeScript both built on OpenTelemetry. You'll be responsible for their reliability, performance, and developer experience. These SDKs run inside our users' production systems, which means they must never fail, must have minimal impact on CPU and memory, and must work flawlessly across every environment — from serverless functions to long-running agent loops. You'll think deeply about the exposed interfaces, error handling, batching, async flushing, and graceful degradation. - Designing APIs that developers love. How are functions named, how are parameters structured, how are breaking changes communicated, how does the documentation read? Developer experience is a core differentiator for Langfuse and you'll own every detail of it. When we shipped the Python SDK v3 https://langfuse.com/changelog/2025-06-05-python-sdk-v3-generally-available and TypeScript SDK v4 https://langfuse.com/changelog/2025-08-28-typescript-sdk-v4-ga, both were full rewrites on OpenTelemetry — that's the kind of thoughtful, high-impact SDK work you'll lead. Apart from tracing, we also support core workflows of engineers building with LLMs with our SDKs, see our Experiment Runner SDK https://langfuse.com/docs/evaluation/experiments/experiments-via-sdk#experiment-runner-sdk for example. - Integrating with every major AI framework: Langfuse integrates with 40+ frameworks and model providers: OpenAI SDK, Vercel AI SDK, AI SDK, LangChain, LlamaIndex, Pydantic AI, OpenAI Agents, CrewAI, Amazon Bedrock AgentCore, LiveKit, and many more. You'll maintain these integrations, ensure new Langfuse features are supported across all of them, and add new integrations as the ecosystem evolves. When a new framework gains traction, you'll be among the first to instrument it. - Maintaining our OpenTelemetry endpoint: some users send traces directly to our OTLP endpoint https://opentelemetry.io/docs/specs/otlp/ instead of using our SDKs. You'll ensure this path is robust, well-documented, and supports the full range of Langfuse features. This also extends our language support to Java, Go, and any language with an OpenTelemetry SDK. You can work with the OpenTelemetry community to steer the GenAI conventions. - Writing public documentation: you'll own the SDK docs, integration guides, and migration paths. At Langfuse, docs are part of our core product. When you ship a new SDK version or integration, the docs ship with it. WHAT WE'RE LOOKING FOR - Strong engineer who gets excited about developer experience, API design, and writing code that runs reliably in other people's production systems - Experience building or maintaining SDKs, client libraries, or developer tools — ideally in Python and/or TypeScript - Deep understanding of performance: you know how to profile, benchmark, and minimize CPU/memory overhead in hot paths - Someone who can manage projects themselves — you know how to develop strong conviction about what to build and how to ship it - Thoughtful about versioning, backwards compatibility, and migration paths - Interest in open source software and genuine excitement about talking to developers about their integration challenges - Thrives in a small, accountable team where your output is visible and matters - CS or quantitative degree preferred   Bonus points: - Experience with OpenTelemetry internals or observability instrumentation - Former founder or early startup experience - Contributions to popular open source SDKs or developer tools - ML/AI background or familiarity with the LLM framework ecosystem   No candidate checks all boxes. If you feel you are a good fit for this role, please go ahead and apply.   LEARN MORE ABOUT - SDK Overview https://langfuse.com/docs/observability/sdk/overview — architecture and design of our Python and TypeScript SDKs - All Integrations https://langfuse.com/integrations — the full list of frameworks, model providers, and gateways we support - OpenTelemetry Integration https://langfuse.com/integrations/native/opentelemetry — how we use OTEL as the foundation - SDK Upgrade Paths https://langfuse.com/docs/observability/sdk/upgrade-path — how we think about versioning and breaking changes - Project you could have built: TypeScript SDK v4 (GA) https://langfuse.com/changelog/2025-08-28-typescript-sdk-v4-ga - Project you could have built: Python SDK v3 (GA) https://langfuse.com/changelog/2025-06-05-python-sdk-v3-generally-available - Our codebase: GitHub Repository https://github.com/langfuse/langfuse/ - Ben Kuhn on Impact, Agency and Taste https://www.benkuhn.net/impact/ - Who we are & how we work https://langfuse.com/careers   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Paris, France About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. À propos du poste En tant que leader de deuxième niveau pour l’équipe Applied AI Industries en Europe du Sud et au Moyen-Orient chez Anthropic, vous piloterez l’adoption d’une IA de frontier en partenariat avec le reste de l’organisation de mise sur le marché. Nos clients Industries en France, Ibérie et Italie incluent de nombreuses plus grandes entreprises de la région dans les services financiers, santé et sciences de la vie, fabrication, télécommunications, commerce de détail, énergie et autres secteurs. Vous mettrez à profit votre expérience de construction et de direction d’équipes de vente technique pour piloter une transformation IA positive qui répond aux besoins métier de nos clients, satisfait à leurs exigences techniques et réglementaires, et offre un haut degré de fiabilité et de sécurité. Vous serez responsable de la direction et de la croissance de l’équipe d’architectes de solutions qui partenaire avec les directrices et directeurs de compte pour aider les entreprises à adopter et déployer les produits d’Anthropic, notamment Claude Cowork, Claude Code et la Plateforme de Développement Claude (notre API). Cela inclura l’utilisation de vos compétences techniques et votre expérience de vente consultative pour recruter d’excellentes personnes en première ligne de management et contributeurs individuels, établir des processus pour évoluer votre équipe, et représenter Anthropic directement dans les engagements clients stratégiques. Votre équipe couvre plusieurs pays et secteurs à la fois, vous serez donc responsable de la réflexion stratégique sur les comptes d’industrie complexes et de l’identification et du déploiement de solutions qui résonnent dans chaque marché, avec sa propre langue, sa culture métier et son contexte réglementaire. Responsabilités Recruter, manager et guider une équipe de managers de première ligne qui construiront à leur tour des équipes d’Applied AI Architects (H/F) de pré-vente en France, Ibérie et Italie Définir les objectifs de votre équipe en collaboration avec le leadership commercial et établir les attentes de performance de base sur votre équipe Agir en tant que sponsor technique et exécutif pour les clients stratégiques de haute valeur dans la région et les conseiller sur leurs stratégies globales d’adoption de l’IA ou la délimitation des cas d’usage et l’exécution de pilotes Collaborer étroitement avec le leadership commercial d’Europe du Sud (couvrant également le Moyen-Orient et l’Afrique) pour construire des stratégies pour les comptes d’industrie complexes et identifier de nouvelles façons de piloter l’adoption des produits Anthropic dans des secteurs verticaux spécifiques ou des cas d’usage horizontaux Aider les clients à naviguer dans les exigences réglementaires locales et européennes (par exemple, la Loi sur l’IA de l’UE, le RGPD, DORA et les attentes de résidence des données) et adapter la façon dont votre équipe s’engage à la culture métier de chaque marché Travailler avec des équipes interfonctionnelles comme le produit et l’ingénierie pour assurer qu’Anthropic priorise les commentaires des clients ou résout les obstacles à l’adoption dans la région Voyager régulièrement en Europe du Sud pour les clients ou conférences pour des sessions de haut niveau, des ateliers techniques et la construction de relations Établir une vision commune pour créer des solutions qui permettent une IA bénéfique et sûre dans les produits technologiques Contribuer à la pensée stratégique par des présentations en conférences, des webinaires et la création de contenu technique Rester au courant des tendances émergentes en IA et du paysage concurrentiel Ce profil est un bon ajustement si vous : Avez 7+ ans d’expérience en gestion de pré-vente technique, incluant un leadership de deuxième niveau ou supérieur (direction de managers) Avez vendu des produits techniques complexes aux grandes entreprises en France, Ibérie, Italie, Moyen-Orient et Afrique Avez travaillé dans plusieurs secteurs, tels que services financiers, santé et sciences de la vie, fabrication, télécommunications, commerce de détail et énergie Comprenez les différences culturelles entre les marchés d’Europe du Sud et le contexte réglementaire dans lequel opèrent vos clients, et adaptez votre approche à chacun Pensez de façon hautement stratégique aux comptes d’industrie complexes et transformez cette réflexion en plans que votre équipe et vos homologues commerciaux peuvent exécuter Avez une profonde maîtrise technique des cas d’usage IA en entreprise, des intégrations d’API et des déploiements LLM Prospérez dans la construction et l’évolution rapide d’équipes et de processus dans des environnements ambigus et mouvants Ayez d’excellentes compétences en communication, collaboration et coaching Ayez une présence exécutive forte et la capacité à cultiver des relations profondes avec les leaders métier et technique des plus grandes entreprises de la région Ayez au moins une familiarité de haut niveau avec l’architecture et le fonctionnement des LLM Ayez une passion pour rendre les technologies puissantes sûres et bénéfiques pour la société Restiez à jour et informée en vous intéressant activement à la recherche émergente et aux tendances du secteur en IA Les candidates et candidats solides pourraient avoir : Leadership de pré-vente d’entreprise à grande échelle : 5+ ans de direction d’équipes d’architectes de solutions à travers une hypercroissance (idéalement des dizaines de personnes dans plusieurs pays), avec expérience directe de direction de managers et développement de talents dans des environnements de vente de logiciels d’entreprise complexes Gamme multilingue et multiculturelle : En plus de l’anglais, maîtrise d’une ou plusieurs langues parmi le français, l’italien, l’espagnol ou le portugais, et expérience de direction d’équipes distribuées dans plusieurs pays Expérience avec les modèles commerciaux basés sur la consommation : Les candidats idéaux ont construit des cadres GTM ancrés sur la consommation, pas seulement sur les licences basées sur SaaS Profondeur technique en IA + Engagement exécutif : Expérience pratique avec les plateformes d’IA et les modèles d’intégration d’entreprise, combinée à un historique avéré d’engagement des parties prenantes au niveau C dans des évaluations techniques de 10 M€+ et des cycles de vente d’entreprise Expérience GTM multi-secteurs dans les secteurs réglementés : Succès démontré dans l’adaptation des approches techniques à différents secteurs verticaux, en particulier les secteurs réglementés tels que la banque, les assurances et la santé, y compris le travail avec les parties prenantes en matière de risque, de conformité et de comité d’entreprise About the Role: As the 2nd-line leader for the Applied AI Industries team in Southern Europe and the Middle-East at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. Our Industries customers in France, Iberia and Italy include many of the region's largest enterprises across financial services, healthcare and life sciences, manufacturing, telecom, retail, energy, and other sectors. You'll leverage your experience building and leading technical sales teams to drive positive AI transformation that addresses our customers' business needs, meets their technical and regulatory requirements, and provides a high degree of reliability and safety. You will be responsible for leading and growing the solutions architect team that partners with account executives to help companies adopt and deploy Anthropic's products, including Claude Cowork, Claude Code, and the Claude Development Platform (our API). This will include leveraging your technical skills and consultative sales experience to hire great 1st line managers and individual contributors, establish processes to scale your team, and represent Anthropic directly at strategic customer engagements. Your team covers several countries and industries at once, so you will be responsible for thinking strategically about complex industry accounts and for identifying and rolling out solutions that resonate in each market, with its own language, business culture, and regulatory context. Responsibilities: Hire, manage, and guide a team of 1st line managers who will in turn build teams of pre-sales Applied AI Architects across France, Iberia and Italy. Set goals for your team in collaboration with sales leadership and establish baseline expectations for performance across your team. Act as a technical and executive sponsor for high-value strategic customers in the region and advise them on their overall AI adoption strategies or use case scoping and pilot execution. Partner closely with Southern Europe sales leadership (also covering the Middle-East and Africa) to build strategies for complex industry accounts and identify new ways to drive adoption of Anthropic products within specific verticals or horizontal use cases. Help customers navigate local and European regulatory requirements (for example the EU AI Act, GDPR, DORA, and data residency expectations) and adapt how your team engages to the business culture of each market. Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption in the region. Travel regularly across Southern Europe to customers or conferences for executive-level sessions, technical workshops, and relationship building. Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products. Contribute to thought leadership through conference presentations, webinars, and technical content creation. Stay current with emerging AI trends and the competitive landscape. You may be a good fit if you: 7+ years of technical pre-sales management experience, including 2nd-line leadership or above (leading managers). Have sold complex technical products to large enterprises in France, Iberia, Italy, the Middle-East and Africa. Have worked across multiple industries, such as financial services, healthcare and life sciences, manufacturing, telecom, retail, and energy. Understand the cultural differences between Southern European markets and the regulatory context your customers operate in, and adapt your approach to each. Think highly strategically about complex industry accounts, and turn that thinking into plans your team and sales counterparts can execute. Have deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments. Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments. Have excellent communication, collaboration, and coaching abilities. Strong executive presence and ability to foster deep relationships with business and technical leaders at the region's largest companies. Have at least a high level familiarity with the architecture and operation of LLMs. Have a passion for making powerful technology safe and societally beneficial. Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI. Strong candidates may have: Enterprise pre-sales leadership at scale: 5+ years leading solution architect teams through hypergrowth (ideally dozens of people across several countries), with direct experience leading managers and developing talent in complex enterprise software sales environments. Multilingual and multicultural range: In addition to English, fluency in one or more of French, Italian, Spanish or Portuguese, and experience leading teams distributed across several countries. Experience with consumption business models: Ideal candidates have built GTM frameworks anchored on consumption, not just SaaS-based licenses. AI Technical Depth + Executive Engagement: Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in €10M+ technical evaluations and enterprise sales cycles. Multi-industry GTM experience in regulated sectors: Demonstrated success adapting technical approaches to different verticals, in particular regulated ones such as banking, insurance, and healthcare, including working with risk, compliance, and works council stakeholders. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €265.000 — €310.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE This is a chance to build the frontier LLM evals that shape the next generations of flagship models. Could a model design a computer chip, or find the backdoor an attacker left in a network? Public benchmarks can't tell us, as they're generally not a good measure of real work. As an Evaluation Engineer, you'll own evals from start to finish. You'll run workshops with customers, industry experts and our customer-facing teams to understand their most important industry use cases (e.g., an engineer updating a part in CAD software), and help decide which are worth building first. You'll also look beyond today's use cases and design moonshot evals for work no model can do yet, so Mistral gets there first. Then you'll turn each one into a benchmark, often one where an agent has to do the work inside real software. You'll source the data, decide how to score it, and run it on every new Mistral model and on competitor models. When our models fall short, you'll work with the post-training teams to close the gap. When they catch up, you'll make the eval harder. You'll write up and present your results so senior leaders can act on them. They also give our go-to-market teams evidence of where Mistral leads. You'll learn new fields quickly. One month you might be learning how chip designers check their work, and the next how a bank investigates a flagged payment. The team is new and fast-paced, and you'll have a lot of autonomy. You'll spend a lot of time speaking with people across Mistral to work out what matters most, then decide what to build. WHAT YOU WILL DO - Run discovery with customers, industry experts and teams across Mistral, then help decide which use cases are worth building first. - Design new benchmarks for industry use cases and frontier capabilities, including how they're scored. - Build evals where agents work inside real software (e.g., CAD and simulation tools), and run them on our models with checks that the results stay reliable over time. - Stress-test existing evals to find flaws and bugs before we rely on them. - Source data with expert vendors. Where customer data can't leave the customer, build realistic proxy or synthetic data instead. - Write up and present what you find so leaders across Mistral can act on it. - Help other teams build their own evals, with tools and guides they can reuse. WHAT WE'RE LOOKING FOR EXPERIENCE - 2+ years of industry experience (e.g., in software, AI, or consulting), or a PhD. - A software engineering or research background, with experience writing code that others can build on. - Experience working directly with customers, industry experts, or other teams (e.g., through consulting, solutions engineering, or research collaborations). - Experience building something with LLMs. - Comfort working with large datasets, including building and cleaning them. TECHNICAL - Strong Python skills. - Comfortable working in a large, shared codebase and getting your code through reviews by other teams. - A strong understanding of LLM training, inference, and evaluation. COMMUNICATION - You enjoy speaking with people and are good at it. - You write clearly. A short doc or deck from you is enough for a busy leader to make a decision. - Confident presenting to both technical and non-technical audiences. - Fluent in English. HOW YOU WORK - High energy, and you don't need a roadmap. You move independently and handle uncertainty with confidence. - Proactive and high-agency. You spot what needs doing and get it done. - You make good decisions about what to build first and can explain why. - Low-ego, collaborative, and eager to learn. - Curious, with a track record of learning things outside your work or studies. You can get to grips with a new field in a few weeks. NICE TO HAVE - Experience building AI evaluations, especially for industry applications. - Published research on evals or contributions to open-source evaluation frameworks. - Experience building datasets, generating synthetic data, developing labelling guidelines, or working with annotation vendors. - A background in an industry outside software (e.g., engineering, finance, or science). WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Canada (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 position. We are seeking candidates in US and Canada. The Opportunity Application Core Services (AppCore) is a group within Platform, in the Foundations department. We build and operate systems that support Grafana’s business operations and customer experience, working closely with product teams and internal business partners. The Usage squad works on billing, rates, usage calculations, usage visibility and cloud marketplace integrations. Our software helps customers understand their consumption and costs, and helps internal teams operate accurate, reliable billing processes. We are looking for a Staff Fullstack Engineer with strong backend experience who enjoys making complex business systems reliable, understandable and easier to operate. You will help deliver new capabilities while improving existing services, reducing repetitive manual work and addressing edge cases that affect customers and internal stakeholders. This is a hands-on Staff engineering role within the AppCore Usage squad. You will lead complex technical work, contribute directly to implementation and share ownership with the squad’s other Staff and Senior engineers. Your primary focus will be Usage’s systems and outcomes, collaborating with adjacent teams when the work requires it. Our ownership includes application code, data stores, deployment configuration and the cloud infrastructure supporting our services. You should be comfortable following a problem across those boundaries and making improvements with the appropriate platform teams. We are remote-first and global. For this role, we prefer candidates in NASA’s Eastern Time zone to provide more overlap with our EMEA colleagues. What You’ll Be Doing Your initial focus will be approximately 75% backend and 25% frontend. This balance will evolve with the squad’s priorities. You should be comfortable delivering across the stack, from business logic and APIs through to the interfaces customers and internal teams use. Design, build and operate backend services and APIs supporting billing, rates, usage calculations, usage visibility and marketplace workflows. Build and maintain backend services primarily in Go, with Node.js also present in our stack, and contribute to TypeScript/React applications to deliver complete features. Improve the correctness and reliability of billing and usage workflows, including validation, reconciliation, error handling and recovery. Identify recurring manual tasks and replace them with maintainable automation, clear operational workflows and appropriate controls. Maintain and evolve the infrastructure supporting our services, including Kubernetes workloads, scheduled jobs, cloud resources and deployment configuration. Use infrastructure as code and automated delivery pipelines to make changes repeatable, reviewable and safe across environments. Investigate production issues across application code, databases and infrastructure, including resource exhaustion, failed jobs, slow queries and replication delays. Plan and execute service deployments, database changes and infrastructure migrations, including validation, monitoring and recovery plans. Build and maintain integrations with cloud marketplaces and external business systems where required by the squad’s work. Deliver projects from understanding requirements and proposing an approach through implementation, testing, rollout and production support. Make changes traceable and testable, supporting audit requirements and clear explanations of system behaviour. Collaborate with product management, Support, DealOps, GTM, infrastructure teams and adjacent AppCore squads to clarify requirements and resolve dependencies. Share technical leadership through design discussions, code reviews, mentoring and practical improvements. Participate in the squad’s on-call rotation after onboarding. Improve dashboards, alert quality, runbooks and recovery procedures, and follow through on incident findings. What Makes You a Great Fit You enjoy engineering work where correctness, reliability and business impact matter. You find value in improving an established system, removing a recurring operational problem or making a billing workflow easier to understand and support. You take ownership from understanding the problem through delivery and production support. You can turn an ambiguous request into manageable increments, make sound trade-offs and follow through without needing each step prescribed. You ask useful questions, seek feedback and raise uncertainty or blockers early. You adapt as priorities change, learn unfamiliar systems and technologies, and contribute where the squad needs you. You bring a strong backend specialty while remaining willing and able to work on frontend features and supporting infrastructure. You reason about how a service behaves in production: how it is deployed, where its data lives, what happens when dependencies fail, and how the team detects and recovers from problems. You communicate clearly in writing and in conversation. In a distributed team, you make decisions, progress and risks visible so colleagues can contribute across time zones. You work independently while staying connected to the squad. As a Staff engineer, you bring technical depth and sound judgment while remaining close to implementation. You collaborate constructively with other experienced engineers, welcome different perspectives and help the squad reach decisions and move forward. We embrace thoughtful use of AI-assisted development. We value engineers who use these tools to support exploration, implementation, testing and documentation while taking responsibility for the quality and correctness of the result. Requirements Substantial experience designing, delivering and operating production backend systems, with the depth and judgment to lead complex work hands-on. Strong experience building and operating production backend systems in Go, our primary backend language. Professional experience contributing to frontend applications using TypeScript and React, or comparable technologies, and willingness to work across the stack as priorities change. Experience reasoning about distributed systems, including partial failures, retries, consistency and interactions between services. Experience with relational databases, including data modelling, schema migrations, query performance and safe production changes. Practical experience deploying and troubleshooting containerised services and jobs in Kubernetes. Experience managing cloud infrastructure through code and working with CI/CD pipelines, environment configuration and controlled rollouts. Ability to investigate production problems using logs, metrics and traces, and turn findings into lasting improvements. A record of delivering projects end to end, clarifying requirements, making trade-offs and following through after release. Experience working remotely, with clear asynchronous communication and dependable collaboration across time zones. Ability to learn unfamiliar domains and technologies, adjust your approach as new information emerges, and take ownership beyond your main area of expertise. Experience writing readable, well-tested software that other engineers can understand, maintain and operate. Willingness to participate in on-call and take responsibility for the production behaviour of the systems you build. Experience supporting colleagues through code reviews, mentoring and constructive technical discussions. Bonus Points For Usage metering, billing engines, pricing and rates, financial reconciliation or customer-facing cost management applications. Reducing operational toil and automating workflows with recurring exceptions or manual interventions. Systems with auditability, traceability or financial-control requirements. MySQL operations, replication, database upgrades and performance tuning. Terraform, Jsonnet and Kubernetes deployment configuration. Argo Workflows or comparable deployment and job-orchestration tooling. Cloud infrastructure involving managed databases, object storage, service accounts and access controls, particularly on GCP. Data synchronisation pipelines and BigQuery integrations. Cloud marketplace integrations across AWS, Azure or GCP. Integrations with business platforms such as NetSuite or Salesforce. Observability tools such as Grafana, Prometheus, Loki or OpenTelemetry. In Canada, the compensation range for this role is $186,368 - $223,642 CAD. 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 States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity Application Core Services (AppCore) is a group within Platform, in the Foundations department. We build and operate systems that support Grafana’s business operations and customer experience, working closely with product teams and internal business partners. The Usage squad works on billing, rates, usage calculations, usage visibility and cloud marketplace integrations. Our software helps customers understand their consumption and costs, and helps internal teams operate accurate, reliable billing processes. We are looking for a Staff Fullstack Engineer with strong backend experience who enjoys making complex business systems reliable, understandable and easier to operate. You will help deliver new capabilities while improving existing services, reducing repetitive manual work and addressing edge cases that affect customers and internal stakeholders. This is a hands-on Staff engineering role within the AppCore Usage squad. You will lead complex technical work, contribute directly to implementation and share ownership with the squad’s other Staff and Senior engineers. Your primary focus will be Usage’s systems and outcomes, collaborating with adjacent teams when the work requires it. Our ownership includes application code, data stores, deployment configuration and the cloud infrastructure supporting our services. You should be comfortable following a problem across those boundaries and making improvements with the appropriate platform teams. We are remote-first and global. For this role, we prefer candidates in NASA’s Eastern Time zone to provide more overlap with our EMEA colleagues. What You’ll Be Doing Your initial focus will be approximately 75% backend and 25% frontend. This balance will evolve with the squad’s priorities. You should be comfortable delivering across the stack, from business logic and APIs through to the interfaces customers and internal teams use. Design, build and operate backend services and APIs supporting billing, rates, usage calculations, usage visibility and marketplace workflows. Build and maintain backend services primarily in Go, with Node.js also present in our stack, and contribute to TypeScript/React applications to deliver complete features. Improve the correctness and reliability of billing and usage workflows, including validation, reconciliation, error handling and recovery. Identify recurring manual tasks and replace them with maintainable automation, clear operational workflows and appropriate controls. Maintain and evolve the infrastructure supporting our services, including Kubernetes workloads, scheduled jobs, cloud resources and deployment configuration. Use infrastructure as code and automated delivery pipelines to make changes repeatable, reviewable and safe across environments. Investigate production issues across application code, databases and infrastructure, including resource exhaustion, failed jobs, slow queries and replication delays. Plan and execute service deployments, database changes and infrastructure migrations, including validation, monitoring and recovery plans. Build and maintain integrations with cloud marketplaces and external business systems where required by the squad’s work. Deliver projects from understanding requirements and proposing an approach through implementation, testing, rollout and production support. Make changes traceable and testable, supporting audit requirements and clear explanations of system behaviour. Collaborate with product management, Support, DealOps, GTM, infrastructure teams and adjacent AppCore squads to clarify requirements and resolve dependencies. Share technical leadership through design discussions, code reviews, mentoring and practical improvements. Participate in the squad’s on-call rotation after onboarding. Improve dashboards, alert quality, runbooks and recovery procedures, and follow through on incident findings. What Makes You a Great Fit You enjoy engineering work where correctness, reliability and business impact matter. You find value in improving an established system, removing a recurring operational problem or making a billing workflow easier to understand and support. You take ownership from understanding the problem through delivery and production support. You can turn an ambiguous request into manageable increments, make sound trade-offs and follow through without needing each step prescribed. You ask useful questions, seek feedback and raise uncertainty or blockers early. You adapt as priorities change, learn unfamiliar systems and technologies, and contribute where the squad needs you. You bring a strong backend specialty while remaining willing and able to work on frontend features and supporting infrastructure. You reason about how a service behaves in production: how it is deployed, where its data lives, what happens when dependencies fail, and how the team detects and recovers from problems. You communicate clearly in writing and in conversation. In a distributed team, you make decisions, progress and risks visible so colleagues can contribute across time zones. You work independently while staying connected to the squad. As a Staff engineer, you bring technical depth and sound judgment while remaining close to implementation. You collaborate constructively with other experienced engineers, welcome different perspectives and help the squad reach decisions and move forward. We embrace thoughtful use of AI-assisted development. We value engineers who use these tools to support exploration, implementation, testing and documentation while taking responsibility for the quality and correctness of the result. Requirements Substantial experience designing, delivering and operating production backend systems, with the depth and judgment to lead complex work hands-on. Strong experience building and operating production backend systems in Go, our primary backend language. Professional experience contributing to frontend applications using TypeScript and React, or comparable technologies, and willingness to work across the stack as priorities change. Experience reasoning about distributed systems, including partial failures, retries, consistency and interactions between services. Experience with relational databases, including data modelling, schema migrations, query performance and safe production changes. Practical experience deploying and troubleshooting containerised services and jobs in Kubernetes. Experience managing cloud infrastructure through code and working with CI/CD pipelines, environment configuration and controlled rollouts. Ability to investigate production problems using logs, metrics and traces, and turn findings into lasting improvements. A record of delivering projects end to end, clarifying requirements, making trade-offs and following through after release. Experience working remotely, with clear asynchronous communication and dependable collaboration across time zones. Ability to learn unfamiliar domains and technologies, adjust your approach as new information emerges, and take ownership beyond your main area of expertise. Experience writing readable, well-tested software that other engineers can understand, maintain and operate. Willingness to participate in on-call and take responsibility for the production behaviour of the systems you build. Experience supporting colleagues through code reviews, mentoring and constructive technical discussions. Bonus Points For Usage metering, billing engines, pricing and rates, financial reconciliation or customer-facing cost management applications. Reducing operational toil and automating workflows with recurring exceptions or manual interventions. Systems with auditability, traceability or financial-control requirements. MySQL operations, replication, database upgrades and performance tuning. Terraform, Jsonnet and Kubernetes deployment configuration. Argo Workflows or comparable deployment and job-orchestration tooling. Cloud infrastructure involving managed databases, object storage, service accounts and access controls, particularly on GCP. Data synchronisation pipelines and BigQuery integrations. Cloud marketplace integrations across AWS, Azure or GCP. Integrations with business platforms such as NetSuite or Salesforce. Observability tools such as Grafana, Prometheus, Loki or OpenTelemetry. In the United States, the compensation range for this role is $174,986 - $209,983 USD.  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: Russia; Moscow; Perm Workplace: remote ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. The role THE ROLE We are hiring a Senior Backend Engineer for two platform products: Xsolla ID is the identity and authentication platform behind sign-in, account management and SSO across Xsolla products. Xsolla ZK is Web3 wallet infrastructure: smart wallets and account abstraction on a zkSync-based L2. Both products sit on users' most sensitive flows, logging in and signing transactions, and other Xsolla teams build on top of them. WHAT YOU WILL OWN The backend services of your product area end to end: design, implementation, release and production operation, including on-call Architecture across services: service boundaries, integration contracts and data ownership. You make these decisions and justify them in writing Reliability and security of critical flows: SLOs, failure handling, protection of user data and credentials Service performance and cost under load WHAT YOU WILL DO Design and build services and APIs (REST, gRPC) for authentication, account management and wallet operations Define service boundaries and integration contracts with other Xsolla teams Design data models and storage; optimize schemas and queries Build event-driven and asynchronous workflows Own observability: metrics, logs, tracing and alerting, and act on what production tells you Take part in on-call, incident response and post-mortems Improve the engineering environment: CI/CD, infrastructure-as-code, testing Review code Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively Responsibilities Language and platform 5+ years of commercial backend development Go: idiomatic code, concurrency (goroutines, channels, context and cancellation), memory and performance profiling (pprof) Data Relational databases (PostgreSQL, MySQL): schema design, indexes, query plans, transactions and isolation levels, safe migrations Caching (Redis): when to cache, invalidation, consistency trade-offs Distributed systems Service architecture and distributed-systems trade-offs: consistency, availability, idempotency, retries, failure modes Asynchronous messaging and event-driven design (Kafka, RabbitMQ or NATS): delivery guarantees, ordering, reprocessing APIs Designing REST and gRPC APIs: versioning, backward compatibility, contract documentation (OpenAPI / Swagger, Protobuf) Security and identity Application security: common vulnerability classes (OWASP Top 10), secrets management, safe handling of user data OAuth 2.0 / OIDC from the server side: flows, tokens, sessions Operations Containers and orchestration (Docker, Kubernetes) at the level of deploying and debugging your own services Observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts): metrics, logs, tracing and alerting; diagnosing incidents in production Engineering practices Testing: unit, integration, contract Git, CI/CD (GitLab CI or similar) AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English Reading technical documentation in English Nice to Have Web3 backend experience: blockchain integration, wallet infrastructure, account abstraction High-load systems Cloud platforms (GCP, AWS or Azure) and infrastructure-as-code NoSQL databases (MongoDB or similar) Domain experience in gaming, e-commerce, fintech or payments HOW WE WORK Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built directly on the What you will own and Required sections above. We won't ask about anything this posting doesn't promise. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. THE TEAM You will work alongside product managers, designers, backend and frontend engineers, QA and DevOps. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. EMPLOYMENT DETAILS Location: Remote Employment Type: Full-time Schedule: 10:00–19:00 (flexible) Contract: Employment agreement (entity or EOR arranged per candidate location) EQUAL EMPLOYMENT STATEMENT Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics. We are committed to compliance with all fair employment practices regarding citizenship and immigration status. CONTACT If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Program Manager to join our Accounting organization and help it run as one global team. Accounting is scaling at an unprecedented pace across multiple hubs, and the goals, rhythms, programs, and people that make up the team need to stay connected as we grow. In this role, you will own that connective tissue: the annual goal-setting cycle, the leadership team’s operating cadence, org-wide events and internal communications, and the programs that make a distributed team feel like one. You will partner with Accounting leadership, the People team, Finance Systems, and hub leads. This is a hands-on role with a lot of range: part chief of staff, part program manager, part culture builder. Responsibilities Goals and operating rhythm Run the annual goal setting process and the reporting that tracks progress against those goals. Look at how the org actually operates (meetings, handoffs, planning cycles, decision making) and fix what isn't working. Maintain one org-wide planning calendar that shows close, audit, and team milestones alongside company-wide and team events, so leaders can see the pressure points and plan around them. Build and maintain a simple set of org health metrics (attrition, engagement scores, hiring pipeline, training completion, survey trends) and report on them regularly. Leadership and org-wide events Run our extended leadership team (XLT) program, including agendas, meetings, follow-ups, and action items. Own planning and agenda for the annual offsite and run the quarterly team all-hands. Write the internal updates: a regular team newsletter, plus talking points when leadership needs to explain a change to the whole org. People and culture Coordinate projects across the org that support employee experience programs. Partner with the People team to roll out training and development programs for Accounting. Review team survey results, identify the themes, and build action plans to address the feedback. Follow through and report back to the team. Run hub programs, including visit and rotation programs, local hub events, and meeting norms that work across time zones, so we feel like one global team. Run recognition and team rituals: wins, milestones, anniversaries, and peer recognition, especially across hubs. Team operations Support contractor management, including onboarding, tracking, and coordination with the right partners. Keep the team's knowledge base current: wiki, org charts, role descriptions, and key process docs. Keep the team calendar accurate so everyone knows what's coming. Preferred qualifications 7+ years in program management, operations, chief of staff, or strategy roles. Experience inside a finance or accounting org is a plus, but not required. A track record of running recurring programs end to end and getting people to follow through without formal authority. Good judgment about what matters and what doesn't. You can handle a lot of moving pieces without dropping them. Clear, direct writing. You can brief a senior leader in a few sentences. Comfort with confidential information and sensitive people topics. Experience supporting distributed or global teams. You're organized, but you also know when a process is getting in the way and should be simplified. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Baku Workplace: onsite ABOUT YOU You will play a pivotal role in delivering high-impact software solutions across our platform. You bring curiosity, initiative, and a passion for clean, scalable systems. You collaborate effectively with teammates and cross-functional partners to design, build, and improve our technical stack. You’re hands-on, deeply engaged in the code, and consistently seeking better ways to solve complex engineering challenges.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. WHAT YOU'LL DO Software Engineering & Problem Solving: Build and ship reliable, secure, and scalable backend systems. Own implementation from design to deployment, ensuring maintainability and performance. Participate in architectural discussions and offer informed technical input. Refactor legacy codebases to improve structure and efficiency while maintaining feature continuity. Drive production readiness by handling incident response, root cause analysis, and observability improvements. Technical Excellence: Write clear, testable, and well-documented code, emphasizing quality and automation. Contribute to a culture of engineering excellence through code reviews and design discussions. Advocate for sound software development practices and continuous improvement. Collaboration & Impact: Work closely with product managers, designers, and other engineers to align on objectives and deliverables. Contribute to technical scoping and estimation for features and infrastructure work. Identify opportunities to reduce technical debt and improve the developer experience. QUALIFICATIONS Hands-on experience with Go (Golang ) in production environments. Strong experience working with PostgreSQL and/or MySQL. Proficient with containerization and orchestration tools: Docker, Kubernetes (K8s), and Helm. Familiarity with messaging systems like RabbitMQ or Kafka. Comfortable using Git and CI/CD tooling in collaborative workflows. Working knowledge of frontend technologies, especially React and/or Next.js . Basic understanding of cloud platforms (GCP preferred). WHAT SETS YOU ARART Experience building scalable, secure Login-as-a-Service platforms. Deep knowledge of OAuth2, OIDC, SAML, JWT, and session/token management. Strong grasp of social login, SSO, and federated identity. Designed multi-tenant identity systems with isolation and configurability. Delivered developer-friendly APIs, SDKs, and integration documentation. Strong English communicator, for both technical and non-technical topics. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers