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Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Overview As a Senior Software Engineer - Mobile at Fanatics Betting & Gaming (FBG), you'll be joining our dynamic mobile engineering teams, contributing to the rapidly growing Fanatics Sportsbook app ecosystem. You'll work across various product areas, developing features that enhance customer experience and drive business growth. As a Senior Software Engineer at FBG, you are a fundamental problem solver and growing contributor, known for your ability to think critically and adapt to new technologies. You combine strong programming fundamentals with a willingness to learn our technology stack, delivering results across mobile platforms. You play an important role in implementing features and solutions while continuously developing your technical expertise and engineering skills. We embrace principles of data-driven development, operational excellence, and continuous process optimization to deliver a stable, scalable platform. Central to our strategy is Kotlin Multiplatform, which empowers us to deliver high-quality features quickly and consistently across multiple ecosystems. By focusing on object-oriented design, modern coding practices, open-source frameworks, and third-party platform integrations, we continuously innovate and deliver at speed in this exciting and fast-moving market. Responsibilities Develop, test, document, and deploy high quality software into production Develop a fundamental understanding of our industry, product, feature set and roadmap Implement new features from functional requirements to logic and UI with guidance Learn and follow the principles, guidelines, and best practices of our engineering strategy Work closely with our product team, design, and other internal stakeholders to understand technology decisions that grow and improve our products Participate in an on-call rotation to address urgent issues outside business hours and contribute to app enhancements and operational efficiency (OE) by troubleshooting and resolving application-related problems Escalate when tasks or projects hit roadblocks and seek guidance when needed Participate in code reviews to maintain code quality and learn from senior team members Contribute to team planning and design discussions, building expertise around design approaches Impact software quality and customer experience of product features Learn about testability, operational excellence metrics, and team documentation practices Collaborate effectively with team members and contribute to a positive team culture Be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team-building activities Required Qualifications 5+ years of development experience Strong programming fundamentals in any language with demonstrated problem-solving abilities Willingness and eagerness to learn Kotlin as the primary development language The bulk of our business logic strategy relies on Kotlin Multiplatform (KM). You should be comfortable learning and developing business logic within this ecosystem Mobile development experience with modern UI frameworks (SwiftUI, Jetpack Compose, or similar) Team-first mentality, with a willingness to do what it takes to get the job done and a desire to strive for better Able to articulate your thinking process and explain your reasoning when working through problems Demonstrates initiative and independent problem-solving skills while knowing when to seek guidance Demonstrates logical reasoning when working through technical challenges Comfortable with ambiguity and changing requirements in a fast-paced environment Familiar with or willing to learn Agile software product delivery and SCRUM methodology Thrives in a high-growth environment where priorities evolve regularly and decisions are made quickly Able to work cross-functionally within an enterprise environment Preferred Qualifications Experience with mobile development (Android or iOS) Exposure to modern development tools and frameworks Understanding of basic software engineering principles and best practices Experience working in collaborative development environments Familiarity with version control systems and development workflows Interest in learning additional languages like Swift when needed for cross-platform work If you possess some of these qualifications but not all of them, we still encourage you to apply! Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $1 — $1 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Sweden (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 looking for candidates in the UK, Ireland, Spain, Germany or Sweden. Senior Software Engineer - Security Assurances We are looking for a Senior Software Engineer, Security Assurance to join our GRC engineering team. We are building a security system that’s automated at scale, rigorously data-driven, and built from the ground up with defense-in-depth and self-healing in mind. We support a highly autonomous, remote-first, cloud-native organization. We are a technical team that can build any tool we need, while knowing when to buy to improve velocity. To support our growth and ambitious vision, we embrace agile principles and values, share openly, apply context-driven security mechanisms, default to action, and have an OSS-first mindset. We are a 100% remote company. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work. The Opportunity: You will work to build out our security observability, compliance, and control management systems and tools. You will develop services and tools to proactively defend our systems, provide visibility to our security state, and give engineers and stakeholders guardrails and paved roads to behave securely. You will collaborate across your team, the security department, and wider Grafana to write and deploy security policies across all of our SDLC, applications, and infrastructure. This is a very technical, hands-on keyboard software engineering, so development experience is critical. You will ideally have some experience building, implementing and improving the maturity of security programs in Cloud-based SaaS organizations. Knowledge of security standards and frameworks (ISO, FedRAMP, PCI-DSS, GDPR, etc) is useful, but the disposition to quickly learn new things is more important than rote knowledge. You will work alongside other security engineers, full-stack developers, and customer-facing teams. Experience guiding and negotiating with peers, stakeholders, customers, and auditors is a plus. What You’ll Be Doing: Be a technical contributor on our GRC team covering a range of areas, including certifications, application, build, cloud, and supply chain security, and internal security tooling development Develop, implement, and maintain highly automated security assurance programs to ensure compliance with organizational and regulatory requirements (e.g., ISO 27001, SOC 2, GDPR, NIST, PCI-DSS, TISAX, whatever else our customers eventually throw at us) Develop systems, automations, and methods of security observability to push the GRC engineering organization beyond just meeting certification requirements Deploy security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows and build pipelines Collaborate with cross-functional teams to integrate security controls into the software development lifecycle and operational processes. Respond to customer security issues, security alerts, and potential incidents What Makes You a Great Fit: Experience developing in a production environment with at least one programming language. We primarily use Go, TypeScript, and Python but most languages translate well. You will take a code screen and be expected to discuss programming principles such as algorithms, data structures, and optimization Knowledge of using and securing containerized, cloud-native applications, ideally with Kubernetes. Experience with multiple cloud providers is a strong plus Experience in automating security and compliance processes using tools, scripts, and frameworks while enabling developer and employee workflows Strong interpersonal skills, as this position will require communication with peers, stakeholders, auditors, and customers Understanding of industry-recognized security frameworks, standards, and certifications, such as ISO 27001, SOC 2, PCI DSS, NIST, or GDPR, and how to apply them without added operational burden. You can gain this by reading the standards documents and audit guidance A degree in Computer Science, Information Security, or related field (or equivalent experience) Bonus Points For: Working knowledge of Grafana Labs OSS projects and products. Experience in using observability tooling to solve security problems. Experience working with OSS communities Experience in using technical automations to prove infrastructure compliance Experience securing large-scale distributed systems running in public clouds In Sweden, the base compensation range for this role is SEK 775,444 - SEK 930,533 . 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: 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. This is a remote position. We are looking for candidates in the UK, Ireland, Spain, Germany or Sweden. Senior Software Engineer - Security Assurances We are looking for a Senior Software Engineer, Security Assurance to join our GRC engineering team. We are building a security system that’s automated at scale, rigorously data-driven, and built from the ground up with defense-in-depth and self-healing in mind. We support a highly autonomous, remote-first, cloud-native organization. We are a technical team that can build any tool we need, while knowing when to buy to improve velocity. To support our growth and ambitious vision, we embrace agile principles and values, share openly, apply context-driven security mechanisms, default to action, and have an OSS-first mindset. We are a 100% remote company. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work. The Opportunity: You will work to build out our security observability, compliance, and control management systems and tools. You will develop services and tools to proactively defend our systems, provide visibility to our security state, and give engineers and stakeholders guardrails and paved roads to behave securely. You will collaborate across your team, the security department, and wider Grafana to write and deploy security policies across all of our SDLC, applications, and infrastructure. This is a very technical, hands-on keyboard software engineering, so development experience is critical. You will ideally have some experience building, implementing and improving the maturity of security programs in Cloud-based SaaS organizations. Knowledge of security standards and frameworks (ISO, FedRAMP, PCI-DSS, GDPR, etc) is useful, but the disposition to quickly learn new things is more important than rote knowledge. You will work alongside other security engineers, full-stack developers, and customer-facing teams. Experience guiding and negotiating with peers, stakeholders, customers, and auditors is a plus. What You’ll Be Doing: Be a technical contributor on our GRC team covering a range of areas, including certifications, application, build, cloud, and supply chain security, and internal security tooling development Develop, implement, and maintain highly automated security assurance programs to ensure compliance with organizational and regulatory requirements (e.g., ISO 27001, SOC 2, GDPR, NIST, PCI-DSS, TISAX, whatever else our customers eventually throw at us) Develop systems, automations, and methods of security observability to push the GRC engineering organization beyond just meeting certification requirements Deploy security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows and build pipelines Collaborate with cross-functional teams to integrate security controls into the software development lifecycle and operational processes. Respond to customer security issues, security alerts, and potential incidents What Makes You a Great Fit: Experience developing in a production environment with at least one programming language. We primarily use Go, TypeScript, and Python but most languages translate well. You will take a code screen and be expected to discuss programming principles such as algorithms, data structures, and optimization Knowledge of using and securing containerized, cloud-native applications, ideally with Kubernetes. Experience with multiple cloud providers is a strong plus Experience in automating security and compliance processes using tools, scripts, and frameworks while enabling developer and employee workflows Strong interpersonal skills, as this position will require communication with peers, stakeholders, auditors, and customers Understanding of industry-recognized security frameworks, standards, and certifications, such as ISO 27001, SOC 2, PCI DSS, NIST, or GDPR, and how to apply them without added operational burden. You can gain this by reading the standards documents and audit guidance A degree in Computer Science, Information Security, or related field (or equivalent experience) Bonus Points For: Working knowledge of Grafana Labs OSS projects and products. Experience in using observability tooling to solve security problems. Experience working with OSS communities Experience in using technical automations to prove infrastructure compliance Experience securing large-scale distributed systems running in public clouds In Germany, the base compensation range for this role is € 97,034 - €116,441 . 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: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the UK, Ireland, Spain, Germany or Sweden. Senior Software Engineer - Security Assurances We are looking for a Senior Software Engineer, Security Assurance to join our GRC engineering team. We are building a security system that’s automated at scale, rigorously data-driven, and built from the ground up with defense-in-depth and self-healing in mind. We support a highly autonomous, remote-first, cloud-native organization. We are a technical team that can build any tool we need, while knowing when to buy to improve velocity. To support our growth and ambitious vision, we embrace agile principles and values, share openly, apply context-driven security mechanisms, default to action, and have an OSS-first mindset. We are a 100% remote company. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work. The Opportunity: You will work to build out our security observability, compliance, and control management systems and tools. You will develop services and tools to proactively defend our systems, provide visibility to our security state, and give engineers and stakeholders guardrails and paved roads to behave securely. You will collaborate across your team, the security department, and wider Grafana to write and deploy security policies across all of our SDLC, applications, and infrastructure. This is a very technical, hands-on keyboard software engineering, so development experience is critical. You will ideally have some experience building, implementing and improving the maturity of security programs in Cloud-based SaaS organizations. Knowledge of security standards and frameworks (ISO, FedRAMP, PCI-DSS, GDPR, etc) is useful, but the disposition to quickly learn new things is more important than rote knowledge. You will work alongside other security engineers, full-stack developers, and customer-facing teams. Experience guiding and negotiating with peers, stakeholders, customers, and auditors is a plus. What You’ll Be Doing: Be a technical contributor on our GRC team covering a range of areas, including certifications, application, build, cloud, and supply chain security, and internal security tooling development Develop, implement, and maintain highly automated security assurance programs to ensure compliance with organizational and regulatory requirements (e.g., ISO 27001, SOC 2, GDPR, NIST, PCI-DSS, TISAX, whatever else our customers eventually throw at us) Develop systems, automations, and methods of security observability to push the GRC engineering organization beyond just meeting certification requirements Deploy security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows and build pipelines Collaborate with cross-functional teams to integrate security controls into the software development lifecycle and operational processes. Respond to customer security issues, security alerts, and potential incidents What Makes You a Great Fit: Experience developing in a production environment with at least one programming language. We primarily use Go, TypeScript, and Python but most languages translate well. You will take a code screen and be expected to discuss programming principles such as algorithms, data structures, and optimization Knowledge of using and securing containerized, cloud-native applications, ideally with Kubernetes. Experience with multiple cloud providers is a strong plus Experience in automating security and compliance processes using tools, scripts, and frameworks while enabling developer and employee workflows Strong interpersonal skills, as this position will require communication with peers, stakeholders, auditors, and customers Understanding of industry-recognized security frameworks, standards, and certifications, such as ISO 27001, SOC 2, PCI DSS, NIST, or GDPR, and how to apply them without added operational burden. You can gain this by reading the standards documents and audit guidance A degree in Computer Science, Information Security, or related field (or equivalent experience) Bonus Points For: Working knowledge of Grafana Labs OSS projects and products. Experience in using observability tooling to solve security problems. Experience working with OSS communities Experience in using technical automations to prove infrastructure compliance Experience securing large-scale distributed systems running in public clouds In Ireland, the base compensation range for this role is € 82,988 - €99,586 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the UK, Ireland, Spain, Germany or Sweden. Senior Software Engineer - Security Assurances We are looking for a Senior Software Engineer, Security Assurance to join our GRC engineering team. We are building a security system that’s automated at scale, rigorously data-driven, and built from the ground up with defense-in-depth and self-healing in mind. We support a highly autonomous, remote-first, cloud-native organization. We are a technical team that can build any tool we need, while knowing when to buy to improve velocity. To support our growth and ambitious vision, we embrace agile principles and values, share openly, apply context-driven security mechanisms, default to action, and have an OSS-first mindset. We are a 100% remote company. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work. The Opportunity: You will work to build out our security observability, compliance, and control management systems and tools. You will develop services and tools to proactively defend our systems, provide visibility to our security state, and give engineers and stakeholders guardrails and paved roads to behave securely. You will collaborate across your team, the security department, and wider Grafana to write and deploy security policies across all of our SDLC, applications, and infrastructure. This is a very technical, hands-on keyboard software engineering, so development experience is critical. You will ideally have some experience building, implementing and improving the maturity of security programs in Cloud-based SaaS organizations. Knowledge of security standards and frameworks (ISO, FedRAMP, PCI-DSS, GDPR, etc) is useful, but the disposition to quickly learn new things is more important than rote knowledge. You will work alongside other security engineers, full-stack developers, and customer-facing teams. Experience guiding and negotiating with peers, stakeholders, customers, and auditors is a plus. What You’ll Be Doing: Be a technical contributor on our GRC team covering a range of areas, including certifications, application, build, cloud, and supply chain security, and internal security tooling development Develop, implement, and maintain highly automated security assurance programs to ensure compliance with organizational and regulatory requirements (e.g., ISO 27001, SOC 2, GDPR, NIST, PCI-DSS, TISAX, whatever else our customers eventually throw at us) Develop systems, automations, and methods of security observability to push the GRC engineering organization beyond just meeting certification requirements Deploy security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows and build pipelines Collaborate with cross-functional teams to integrate security controls into the software development lifecycle and operational processes. Respond to customer security issues, security alerts, and potential incidents What Makes You a Great Fit: Experience developing in a production environment with at least one programming language. We primarily use Go, TypeScript, and Python but most languages translate well. You will take a code screen and be expected to discuss programming principles such as algorithms, data structures, and optimization Knowledge of using and securing containerized, cloud-native applications, ideally with Kubernetes. Experience with multiple cloud providers is a strong plus Experience in automating security and compliance processes using tools, scripts, and frameworks while enabling developer and employee workflows Strong interpersonal skills, as this position will require communication with peers, stakeholders, auditors, and customers Understanding of industry-recognized security frameworks, standards, and certifications, such as ISO 27001, SOC 2, PCI DSS, NIST, or GDPR, and how to apply them without added operational burden. You can gain this by reading the standards documents and audit guidance A degree in Computer Science, Information Security, or related field (or equivalent experience) Bonus Points For: Working knowledge of Grafana Labs OSS projects and products. Experience in using observability tooling to solve security problems. Experience working with OSS communities Experience in using technical automations to prove infrastructure compliance Experience securing large-scale distributed systems running in public clouds In Ireland, the base compensation range for this role is € 104,000 - €124,800. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the UK, Ireland, Spain, Germany or Sweden. Senior Software Engineer - Security Assurances We are looking for a Senior Software Engineer, Security Assurance to join our GRC engineering team. We are building a security system that’s automated at scale, rigorously data-driven, and built from the ground up with defense-in-depth and self-healing in mind. We support a highly autonomous, remote-first, cloud-native organization. We are a technical team that can build any tool we need, while knowing when to buy to improve velocity. To support our growth and ambitious vision, we embrace agile principles and values, share openly, apply context-driven security mechanisms, default to action, and have an OSS-first mindset. We are a 100% remote company. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work. The Opportunity: You will work to build out our security observability, compliance, and control management systems and tools. You will develop services and tools to proactively defend our systems, provide visibility to our security state, and give engineers and stakeholders guardrails and paved roads to behave securely. You will collaborate across your team, the security department, and wider Grafana to write and deploy security policies across all of our SDLC, applications, and infrastructure. This is a very technical, hands-on keyboard software engineering, so development experience is critical. You will ideally have some experience building, implementing and improving the maturity of security programs in Cloud-based SaaS organizations. Knowledge of security standards and frameworks (ISO, FedRAMP, PCI-DSS, GDPR, etc) is useful, but the disposition to quickly learn new things is more important than rote knowledge. You will work alongside other security engineers, full-stack developers, and customer-facing teams. Experience guiding and negotiating with peers, stakeholders, customers, and auditors is a plus. What You’ll Be Doing: Be a technical contributor on our GRC team covering a range of areas, including certifications, application, build, cloud, and supply chain security, and internal security tooling development Develop, implement, and maintain highly automated security assurance programs to ensure compliance with organizational and regulatory requirements (e.g., ISO 27001, SOC 2, GDPR, NIST, PCI-DSS, TISAX, whatever else our customers eventually throw at us) Develop systems, automations, and methods of security observability to push the GRC engineering organization beyond just meeting certification requirements Deploy security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows and build pipelines Collaborate with cross-functional teams to integrate security controls into the software development lifecycle and operational processes. Respond to customer security issues, security alerts, and potential incidents What Makes You a Great Fit: Experience developing in a production environment with at least one programming language. We primarily use Go, TypeScript, and Python but most languages translate well. You will take a code screen and be expected to discuss programming principles such as algorithms, data structures, and optimization Knowledge of using and securing containerized, cloud-native applications, ideally with Kubernetes. Experience with multiple cloud providers is a strong plus Experience in automating security and compliance processes using tools, scripts, and frameworks while enabling developer and employee workflows Strong interpersonal skills, as this position will require communication with peers, stakeholders, auditors, and customers Understanding of industry-recognized security frameworks, standards, and certifications, such as ISO 27001, SOC 2, PCI DSS, NIST, or GDPR, and how to apply them without added operational burden. You can gain this by reading the standards documents and audit guidance A degree in Computer Science, Information Security, or related field (or equivalent experience) Bonus Points For: Working knowledge of Grafana Labs OSS projects and products. Experience in using observability tooling to solve security problems. Experience working with OSS communities Experience in using technical automations to prove infrastructure compliance Experience securing large-scale distributed systems running in public clouds In the UK, the base compensation range for this role is £ 91,755 - £110,106. 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: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role We are looking for a Principal Engineer to help define and drive the next generation of GitLab’s Fulfillment platform. Fulfillment ensures that customers receive the right product access and can manage seats, usage, and spend across GitLab.com, Self-Managed, Dedicated, and other deployment models. Its core areas include entitlements, licensing and provisioning, seat management, usage visibility, and cost management. The existing platform has served GitLab for approximately a decade and now faces significant challenges in scale, maintainability, and architectural complexity. This role will help us understand where we are today and define how Fulfillment should work over the next ten years. This is a senior player-coach role. You will set architectural direction across the Fulfillment portfolio, make critical technical decisions, and work directly with teams to execute the resulting modernization strategy. You will influence across organizational boundaries while remaining hands-on in design, implementation, technical problem-solving, and mentorship. What you’ll do Define and communicate the long-term architecture and technical strategy for Fulfillment, including target state, principles, priorities, and migration sequencing. Assess the current platform and address its most important risks across scale, reliability, performance, data correctness, operability, and maintainability. Drive architectural decisions across entitlements, provisioning, seat management, usage visibility, and cost management. Establish clear service boundaries, data ownership, contracts, and integration patterns across Fulfillment, Monetization, billing, Salesforce, and product services. Lead an incremental modernization program that improves the existing platform while continuing to deliver customer and business value. Partner with Engineering Managers, Product Management, and cross-functional stakeholders to turn architectural direction into executable roadmaps and shipped outcomes. Be hands-on with the hardest problems, including prototypes, critical implementations, migrations, performance improvements, reliability work, and incident learning. Champion practical artificial intelligence (AI) adoption across Fulfillment, including agentic coding and AI-assisted engineering workflows, and help teams apply these tools responsibly and effectively. Mentor and coach Senior and Staff Engineers and raise the quality of technical decision-making across the organization. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring 10+ years of professional software engineering experience, including substantial experience at Staff, Principal, or equivalent technical leadership level. Direct experience building, operating, or modernizing Fulfillment systems, including areas such as entitlements, licensing, provisioning, subscription lifecycle, seat management, usage metering, usage billing, or cost controls. A track record of setting technical direction across multiple teams and turning architecture into reliable, operated systems. Deep experience with distributed systems, scalability, availability, performance, observability, data integrity, and failure-mode analysis. Comfort working in one or more of Ruby, Go, and Python, with the ability to navigate both Backend and Frontend in a polyglot system. Practical experience using artificial intelligence in software engineering, including agentic coding or AI-assisted development workflows. Demonstrated success modernizing mature or degraded platforms without relying on a risky “big bang” rewrite. Experience designing systems that span multiple deployment models, such as software as a service, Self-Managed, Dedicated, or disconnected environments. Strong product and business judgment, with the ability to connect technical investment to customer experience, revenue, operational efficiency, risk reduction, and time to market. Excellent written communication and the ability to influence senior stakeholders across teams without formal authority. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $223,000 — $317,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: 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: San Francisco, CA | New York City, NY | Washington, DC 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 As a Program Manager on Anthropic's Safeguards team, you'll help make sure we meet our obligations under AI safety laws and regulations around the world. Working closely with Legal, you'll turn new and emerging requirements into programs, controls, and deliverables. This requires a detailed understanding of how our models and products are built, evaluated and safeguarded. Your work will support Anthropic's commitment to developing AI safely and beneficially as the regulatory landscape evolves. The responsibilities listed below are some examples of areas that someone in this role could own, depending on their experience and the team's needs. Key responsibilities Manage and drive complex safety initiatives that identify, assess and mitigate risks from frontier models, from initial risk assessment through to the deployment of safeguards Partner with the Safeguards incident management team to strengthen incident response and reporting processes, including the policies that determine how incidents are escalated and when they must be reported externally Conduct post-incident reviews, and work with the subject matter experts for each harm area to incorporate the findings into model and product safeguards Own the safety strategy and deliverables for AI systems used in high-risk settings, including risk assessments, technical documentation, and the information that deploying customers need to use those systems safely Define the safety and risk controls that our models and products require, ensure that each control has an owner and a documented procedure, and confirm that it operates as intended Partner closely with the owners of each risk area to develop a deep understanding of AI risks, safety evaluations and mitigation strategies, and use that understanding to prepare safety documentation, transparency reports and regulatory submissions Minimum qualifications Experience in trust and safety, AI safety or a related field, including designing and implementing safeguards against misuse or harm Understanding of AI safety, including the principal risk areas and the evaluations and safeguards used to address them, well enough to engage substantively with the technical experts responsible for them Experience running risk assessment or harm mitigation programs from identification through to resolution Experience translating policy or regulatory requirements into practical operational processes Ability to drive complex, cross-functional programs to completion in a fast-moving environment, including with technical teams outside your own discipline Clear written communication, including documentation for technical, legal and external audiences Strong attention to detail, and the judgment to recognize when work is at risk and raise it early Commitment to the safe development and deployment of AI Preferred qualifications Experience with AI-specific regulation, such as the EU AI Act Experience leading incident response programs, including escalation paths and external reporting obligations Experience preparing safety documentation, transparency reports or regulatory submissions Experience working with technical and research teams on safety evaluations 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: $245,000 — $285,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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, 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. Sales Manager, Enterprise Industries As a Sales Manager at Anthropic, you'll lead a team of Enterprise Account Executives driving the adoption of safe, frontier AI by securing strategic deals with leading enterprises. You'll leverage your leadership and consultative sales expertise in the Industries sector to propel revenue growth while developing a high-performing team of AEs. Working closely with Applied AI Engineering and Product teams, you'll help Industries customers embed and deploy AI while uncovering its full range of capabilities across their business. In collaboration with GTM and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers and ensure differentiated value across the Industries landscape. The ideal candidate will have a passion for developing people, identifying market opportunities within Industries, and executing strategies to capture them. By leading the deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Build and lead a high-performing team of Enterprise Account Executives focused on Industries, providing coaching, mentorship, and guidance to drive team success Develop and implement sales strategies tailored to Industries procurement cycles and budgeting processes to meet and exceed team revenue quotas Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with specific focus on Industries buying cycles and decision-making processes Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales for industry-specific applications Enable your team to have credible technical conversations about AI applications in Industries while maintaining appropriate guardrails Build strong partnerships across the organization to drive strategic initiatives within the Industries sector Identify and execute on new market opportunities and use cases for Anthropic's AI solutions across business units, research and development centers, and corporate functions Help your team navigate complex enterprise stakeholder ecosystems including executives, business leaders, IT departments, and procurement offices to build consensus Gather and synthesize customer feedback to inform product direction and enhance customer experience for Industries Build and continuously refine the Industries sales methodology by incorporating learnings into playbooks and best practices You may be a good fit if you have: 15+ years of enterprise sales experience in Industries technology, preferably driving adoption of SaaS or emerging technologies 5+ years of sales leadership experience, ideally 3+ leading teams within the Enterprise segment focused on Industries in France Proven track record of building and leading high-performing sales teams selling into large enterprises, with demonstrated success in coaching and developing AEs Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations serving Industries Strong technical acumen and ability to understand complex AI solutions and their applications in Industries, with experience enabling teams to have credible technical conversations with customer stakeholders Track record of successful partnership with technical teams throughout the customer journey within large enterprises Deep understanding of Industries buying cycles, procurement frameworks, and key pain points Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives Experience managing complex enterprise sales cycles and helping AEs secure strategic deals Strong operational rigor in pipeline management, forecasting, and sales metrics specific to Industries sales cycles Excellent communication skills and ability to build relationships across all levels, from technical and business teams to senior executives in Industries Strategic approach to market analysis combined with tactical excellence in execution Passion for AI technology and commitment to its safe, responsible development Sales Manager, Enterprise Industries En tant que Sales Manager chez Anthropic, vous dirigerez une équipe d'Enterprise Account Executives qui favorise l'adoption d'une IA de pointe et sûre en concluant des contrats stratégiques avec des entreprises de premier plan. Vous mettrez à profit votre leadership et votre expertise de la vente consultative dans le secteur Industries pour accélérer la croissance du chiffre d'affaires, tout en développant une équipe d'AE très performante. En étroite collaboration avec les équipes Applied AI Engineering et Produit, vous aiderez les clients Industries à intégrer et à déployer l'IA, tout en leur faisant découvrir l'étendue de ses capacités dans l'ensemble de leurs activités. En collaboration avec les équipes GTM et Marketing, vous affinerez en continu notre proposition de valeur, notre méthodologie de vente et notre positionnement, afin qu'ils trouvent un écho auprès des instances décisionnelles des grandes entreprises et apportent une valeur différenciée sur l'ensemble du secteur Industries. Le profil idéal a à cœur de faire grandir ses équipes, de repérer les opportunités de marché au sein du secteur Industries et de mettre en œuvre les stratégies qui permettent de les saisir. En pilotant le déploiement des produits émergents d'Anthropic, vous aiderez les entreprises à acquérir de nouvelles capacités tout en contribuant au développement éthique de l'IA. Responsabilités : Constituer et diriger une équipe très performante d'Enterprise Account Executives dédiée au secteur Industries, en lui apportant coaching, mentorat et accompagnement pour assurer sa réussite Élaborer et mettre en œuvre des stratégies commerciales adaptées aux cycles d'achat et aux processus budgétaires du secteur Industries, afin d'atteindre et de dépasser les objectifs de chiffre d'affaires de l'équipe Établir et tenir à jour des prévisions fiables, assurer la gestion du pipeline et le reporting, tout en garantissant l'intégrité des données dans les systèmes CRM Travailler avec l'équipe Enablement pour concevoir des programmes de formation et des ressources qui accélèrent la montée en compétence et l'efficacité des AE, avec une attention particulière aux cycles d'achat et aux processus de décision du secteur Industries Collaborer étroitement avec les équipes Applied AI Engineering pour démontrer les capacités techniques en avant-vente et optimiser les solutions en après-vente pour les applications propres à chaque secteur Permettre à votre équipe de mener des échanges techniques crédibles sur les applications de l'IA dans le secteur Industries, dans le respect des garde-fous appropriés Nouer des partenariats solides au sein de l'organisation pour faire avancer les initiatives stratégiques du secteur Industries Identifier et concrétiser de nouvelles opportunités de marché et de nouveaux cas d'usage pour les solutions d'IA d'Anthropic au sein des directions métiers, des centres de recherche et développement et des fonctions support Aider votre équipe à naviguer dans des écosystèmes complexes de parties prenantes au sein des grandes entreprises (direction générale, directions métiers, DSI et services achats) afin de construire un consensus Recueillir et synthétiser les retours des clients pour éclairer l'orientation produit et améliorer l'expérience client du secteur Industries Construire et affiner en continu la méthodologie de vente Industries en intégrant les enseignements dans des playbooks et des bonnes pratiques Ce poste pourrait vous correspondre si vous avez : Au moins 15 ans d'expérience en vente aux grands comptes dans les technologies pour le secteur Industries, de préférence dans l'adoption de solutions SaaS ou de technologies émergentes Au moins 5 ans d'expérience en management commercial, dont idéalement 3 ans ou plus à la tête d'équipes du segment Enterprise dédiées au secteur Industries en France Une expérience confirmée de la constitution et de la direction d'équipes commerciales très performantes vendant aux grandes entreprises, avec des réussites avérées dans le coaching et le développement des AE Une expérience de la mise en place et du déploiement à grande échelle de processus, d'outils et de méthodologies de vente dans des organisations en forte croissance au service du secteur Industries Une solide culture technique et la capacité à comprendre des solutions d'IA complexes et leurs applications dans le secteur Industries, ainsi que l'habitude de préparer vos équipes à mener des échanges techniques crédibles avec les parties prenantes côté client Une expérience réussie de la collaboration avec les équipes techniques tout au long du parcours client au sein de grandes entreprises Une connaissance approfondie des cycles d'achat, des cadres de passation des marchés et des principales problématiques du secteur Industries Une capacité avérée à piloter des cycles de vente complexes impliquant de multiples interlocuteurs et des parties prenantes variées, et à mener des initiatives transverses Une expérience de la gestion de cycles de vente complexes aux grands comptes et de l'accompagnement des AE dans la conclusion de contrats stratégiques Une grande rigueur opérationnelle dans la gestion du pipeline, les prévisions et les indicateurs commerciaux propres aux cycles de vente du secteur Industries D'excellentes compétences en communication et la capacité à nouer des relations à tous les niveaux, des équipes techniques et métiers jusqu'aux membres de la direction du secteur Industries Une approche stratégique de l'analyse de marché, alliée à une exécution tactique irréprochable Un intérêt marqué pour les technologies d'IA et un engagement en faveur de leur développement sûr et responsable 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Toronto; Ottawa; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Summary We seek a highly organized, automation-minded Delivery Operations Analyst to connect GTM and Delivery Engineering teams under a unified operational system. Core duties include owning operational processes, data quality, and automation that move customer opportunities from GTM brief through commercial approval to delivery assignment. Maintain accurate data across Salesforce and Mission Control to support delivery execution. A core expectation is to identify, design, implement, and continuously improve automation across the GTM-to-Delivery workflow(affectionately called Deal Desk, using workflow automation, North, and other appropriate tools. You will own automation outcomes end-to-end, from identifying manual inefficiencies through implementation, testing, monitoring, and iteration. The ideal candidate combines operational rigor with a systems mindset, proactively looking for ways to eliminate repetitive work, improve data quality, reduce coordination overhead, and build scalable processes. Key Responsibilities - Oversee the operational process for new customer briefs submitted by GTM to Deal Desk; ensure required information and proper routing for approval. - Coordinate the transition from commercial approval to the Engineering Program Manager for delivery team assignment. - Track opportunities through pre-delivery stages, identifying actions, blockers, and missing information. - Ensure clear, timely handoffs between GTM, Deal Desk, and EPM. - Maintain accurate, timely data from the Deal Desk process; keep Salesforce and Mission Control updated with customer, opportunity, commercial, and delivery details. - Establish standards for data entry, documentation, and operational hygiene. - Develop and maintain reporting on Deal Desk volume, pipeline progression, approvals, delivery assignments, and operational metrics. - Identify process trends, bottlenecks, and gaps; recommend efficiency improvements. - Develop and maintain process documentation, workflows, and operational playbooks. - Help establish clear ownership, SLAs, and operating standards across the workflow. - Identify opportunities to streamline, standardize, and automate manual processes across the GTM-to-Delivery workflow. Qualifications - 2–4 years of experience in business analysis, operations, revenue operations, sales operations, project coordination, or similar roles. - Experience working with CRM and business operations systems. - Strong analytical and organizational skills with exceptional attention to detail. - Comfortable working across multiple teams and managing processes with numerous stakeholders. - Strong skills in building automations and working with multiple AI tools - Ability to identify inconsistencies, investigate root causes, and drive issues to resolution. - Strong written and verbal communication skills. - Process oriented but being able to convert nebulous ideas into discreet actionable steps and systematizing work - Experience with data reporting, dashboards, or business intelligence tools is an asset. WORKING LOCATION: This role can be based remotely from the Greater Toronto area, Montreal or Ottawa - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: New York City Office COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, "They'll be in touch soon." So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting. ABOUT THE TEAM Tennr’s Strategy and Operations team is a group of ambitious, high-agency generalists led by our VP of Strategy and Operations and working directly with our founders and executive team. The team owns strategic and operational priorities across Revenue, Product, and Services. Recent projects include rebuilding pricing and packaging, standing up our prior authorization product, and leading revenue and headcount planning. ABOUT THE ROLE We’re hiring a Product Operations Lead to run the operating system for Tennr’s Product and Engineering team: how we plan and review work, how customer feedback reaches the roadmap, and how new functionality gets into customers’ hands. You’ll work closely with our P&E leadership and sit between Product, Engineering, and the teams closest to our customers: CX, Deployment, Sales, and Managed Services. You’ll run the planning and review rhythm, turn customer signal into clear roadmap inputs, own product rollouts, and develop the vendor and partner relationships our products depend on. You’ll also build the tools and lightweight processes that make our PMs faster and more effective. This is an opportunity for an ambitious, analytical, and highly cross-functional person to take direct ownership of how Tennr plans and ships product. We believe candidates with at least 3-5 years of experience, including at least 1-2 in Product Management or Product Operations at a software company, are best suited for this role. WHAT YOU’LL OWN - P&E planning and review rhythm. Run the planning and review cadence with Product and Engineering leadership, from quarterly planning and goal setting to regular business and execution reviews. Bring together priorities, capacity, headcount needs, and dependencies so teams can make decisions and follow through, with reporting built from data that already exists. - Voice of the customer. Own how customer signal from CX, Deployment, Sales, and Managed Services reaches Product and Engineering. Build the muscle to capture and synthesize feedback into clear, prioritized inputs for the roadmap, and close the loop with the teams that raised it. - Product rollout. Own the cross-functional work required to enable and roll out new functionality. Coordinate launch readiness, documentation, training, and customer enablement with Product, Engineering, Sales, Marketing, Deployment, and Customer Experience. Own the launch calendar, run go/no-go reviews with clear sign-offs, run betas or early access programs with defined exit criteria, and hold retros after each launch. - Product partnerships. Identify and prioritize vendors and strategic partners required to deliver or improve Tennr’s products. Evaluate opportunities and coordinate the commercial, technical, and operational work to establish those relationships. - Internal tooling. Build custom tools, automations, and AI-powered workflows that make our PMs more efficient and effective, from feedback triage to planning dashboards. - Stand up and refine process. Build the processes Product and Engineering need, keep them lightweight, and refine them as the team scales. Measure whether people actually use them. - Performance and follow-through. Use data and feedback to understand whether plans and rollouts are working. Find gaps, make recommendations, and take responsibility for resolving them. - Additional priorities. Own cross-functional projects as the business evolves, from defining the problem through execution and measurement. IDEAL CANDIDATE BACKGROUND AND QUALIFICATIONS - You have 3-5 years of experience, including at least 1-2 in Product Management or Product Operations at a software company. - You’ve worked directly with Product and Engineering teams on planning, launches, or roadmap tradeoffs. - You’re ambitious and want substantial ownership of how a product organization plans and ships. - You learn quickly and can get deep into an unfamiliar product, workflow, or technical system. - You can use data and customer feedback to understand whether plans and launches are working, then determine what action to take. - You are collaborative by default and can align Product, Engineering, and go-to-market teams without detailed instructions and keep the work moving. - You’re a strong writer. You can turn a complex decision into a clear doc, launch pre-read, or update that people actually read. - You take responsibility for outcomes and stay with problems until they’re resolved. - You have a strong work ethic and a low ego. You’re willing to do detailed, repetitive, or messy work yourself when it needs doing. WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure. - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week. - Free lunch! Plus a pantry full of snacks.   BENEFITS - Beautiful new office at 345 Hudson Street - Unlimited PTO - 100% paid employee health benefit options - Employer funded 401(k) match - Competitive parental leave

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Please note: This role will require occasional travel to San Francisco. The role Nebius is looking for a Communications Designer, Developer Experience to be a part of the Design team and embedded with DevRel. At Nebius, we believe builders decide which platforms win. AI engineers, agent builders, ML engineers and inference teams choose what to build on long before it becomes a procurement decision — and we want to earn that choice early, while they're still picking their models, inference and tooling. This role is about making Nebius the brand those builders recognize, respect, and share. You’re welcome to work remotely in the United States. Your responsibilities will include: Building and evolving the visual language for everything developer-facing — one system that holds together across the dev.nebius.com , AI Builder Program, social, events, swag, and developer community. Designing for where builders actually are — meetups, hackathons, conference presence, event environments, and swag that developers actually want to wear and keep. Designing web pages, developer program materials, campaign visuals, and social content for a technical audience. Making technical content look as good as it is: benchmarks, GPU specs, pricing, architecture diagrams — turning dense material into visuals people actually want to read and share. Creating AI-templates and guidelines so the DevRel team can produce on-brand materials at speed without a designer in every loop. Working in the open with DevRel and content: quick concepts, tight iterations, ship-learn-repeat. We expect you to have: A portfolio of marketing that developers actually respect — launch pages, developer program sites, campaigns, event visuals, technical content. Engineers can smell fluff; you don't produce it. You understand the audience: AI builders, ML engineers, DevOps, inference and platform teams, developers moving into AI. You know what catches their attention, what they ignore, and what makes them share something with a colleague. You study the brands developers love — and can explain why their marketing lands with a technical audience, bringing that thinking into your own work. Experience designing for physical spaces and events: booths, signage, environments, printed materials, swag — you understand print technologies, materials, and production constraints, and can take a design from concept to fabrication. System-first mindset: a visual language that scales across surfaces, not a collection of one-offs. AI-proficiency: up-to-date knowledge of AI tools and a strong critical eye for results — from a design expert's perspective, not an average user's. Strong layout, composition, and information design skills: typography, grids, visual hierarchy, and the craft to keep dense technical material clear. Ability to articulate and defend design decisions, incorporate feedback, and iterate quickly. Excitement about defining what an AI cloud brand looks like for the people building on it. #LI-LT1 Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $150,000 — $187,500 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London Workplace: Hybrid ABOUT NIANTIC SPATIAL We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. ABOUT THE ROLE You'll help build the geometric foundation of the next-generation world map — joining our World Map Research Engineering team (Geospatial Alignment) as a Research Engineer or Senior Research Engineer. This is an end-to-end applied research role that spans from strong engineering and data-systems work to R&D in 3D deep learning, transformers, and foundation models. You'll develop new algorithms, produce the research data and evaluation assets needed to advance them, and engineer the resulting capabilities into dependable production systems. The World Map team works with heterogeneous captures from phones and handheld devices, aerial imagery, LiDAR, and 360 cameras, as well as external geographic and elevation data. The central challenge is to harmonize these data sources, quantify uncertainty, and maintain consistency as the map evolves. You'll work at the intersection of cutting-edge research and scalable engineering — developing new approaches to geospatial registration, correspondence, and geometric optimization, then productionizing these technologies to directly improve Niantic Spatial's world model. What You'll Do - Geospatial Registration — Develop and advance algorithms for world-scale georeferencing and registration across imagery, 3D reconstructions, point clouds, and geographic reference data. - 3D Geometry & Correspondence — Build and improve methods spanning multi-view geometry, SfM, SLAM, feature matching, learned correspondence, bundle adjustment, point-cloud registration, and ICP. - Data & Evaluation — Create the data and evaluation flywheel for world-scale mapping — design and maintain large-scale datasets, pipelines, benchmarks, and evaluation methodologies that expose hard failure modes, accelerate research iteration, and support production. - Learning-Based 3D Reasoning — Explore and develop learning-based approaches for geospatial understanding, combining transformers and 3D foundation models with geometric priors and uncertainty modeling. - Production Robustness — Design robust solutions for challenging real-world conditions: sparse or noisy GPS, changing appearance, inconsistent reconstruction quality, large geographic extents, and imperfect reference maps. - Cross-Functional Collaboration — Partner with leading researchers in visual localization, 3D computer vision, and mapping — as well as engineering and product teams — to identify high-impact problems and turn research breakthroughs into end-to-end production systems. - Research Communication — Share results clearly through technical writing, design reviews, and internal presentations; contribute to publications and open research where appropriate. WHAT YOU'LL BRING - Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, Photogrammetry, or a closely related field — or equivalent research or industry experience. - Strong grounding in 3D computer vision, machine learning, robotics, photogrammetry, or a closely related area. - Demonstrated experience with 3D geometry and several relevant areas — multi-view reconstruction, SfM, SLAM, camera pose estimation, point-cloud registration, image-based localization, georeferencing, or sensor fusion. - The ability to formulate ambiguous real-world problems, choose the right mathematical or learning-based tools, and evaluate solutions rigorously. - Strong Python skills and experience with modern ML and scientific-computing libraries (PyTorch, NumPy, SciPy). - Strong software engineering skills — you can turn research prototypes into reliable, scalable, and maintainable systems. - A track record of taking an algorithm from research idea and experimental prototype through evaluation, benchmarking, and deployment on real-world data. - Clear written and verbal communication; able to collaborate effectively across research and engineering disciplines. NICE TO HAVE - PhD in computer vision, robotics, machine learning, photogrammetry, geodesy, remote sensing, or a related field — not required, but valued. - A strong publication record or active involvement in the research community at venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, 3DV, ICRA, or RSS. - Experience with learning-based approaches for visual or 3D understanding — transformers, point transformers, foundation models, or methods combining learned representations with explicit geometric priors. - Experience with aerial or satellite imagery, GNSS/GPS, geodesy, mapping systems, or large-scale spatial data. - Evidence of technical leadership, mentorship, or successful cross-functional delivery. COMPENSATION & BENEFITS Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. LOCATION & WORK MODEL This role is based in our London office, with three days per week in office. We welcome applications from candidates who require visa sponsorship. INCLUSIVE APPLICATION We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Berlin Office; London Office Workplace: Hybrid Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Senior Product Manager in our Berlin or London offices. ABOUT THE ROLE Taktile is building the world's leading Agentic Decisioning Platform for Financial Services. Our customers use our product to automate millions of critical decisions with AI across customer onboarding, credit underwriting, anti money laundering, and many other use cases. Underneath every one of these decisions sits the Taktile Platform: the permissions, environments, deployment, extensibility and connectivity foundations that allow the largest financial institutions to run Taktile securely and at scale, for both humans and AI agents. Taktile Platform also owns developer productivity: the tooling, infrastructure and workflows that help our engineering teams ship quickly and safely. As a Senior Product Manager, you will own the strategy and roadmap for the platform, with a focus on its enterprise and agentic foundations. You will work closely with platform, infrastructure and security engineering to meet the demands of a rapidly growing enterprise customer base, and partner with customer-facing teams and Product Marketing to make our platform a reason customers choose Taktile. WHAT YOU’LL DO - Own the strategy and long-term success of the Taktile Platform, the foundation that every product area and every enterprise customer builds on - Define a compelling long-term vision for the platform and prioritize the roadmap necessary to reach it. Example areas of focus will include permissions for users and AI agents, Taktile MCP extensibility, release processes (e.g. environments), enterprise connectivity, and more - Build a deep understanding of enterprise requirements (security, IT, compliance and procurement), the competitive landscape and opportunities for differentiation, collaborating with customer-facing teams - Translate customer insights into well thought out product requirements - Balance innovation with a very high bar for reliability and security - Act as the voice of the platform: enable and advocate for platform capabilities across product, engineering and go-to-market teams, and partner with Product Marketing to bring them to market - Track adoption and performance of platform capabilities through metrics and customer feedback, identifying opportunities for iteration WHO YOU ARE - 5+ yrs work experience in Product Management, including previous experience owning platform topics (e.g. identity and access management, permissions, environments, deployment models, connectivity or developer platforms) for B2B SaaS or AI products - Strong technical depth and an appetite to keep deepening it. An engineering or other technical background is preferred. You are comfortable going deep with engineers on cloud infrastructure, authentication and authorization (e.g. OAuth, SSO, SCIM) and networking. Experience in building critical, high-availability systems is a strong plus - Experience working with enterprise security, IT and compliance stakeholders, for example through security reviews, RFPs or complex customer deployments. Familiarity with AI agents and MCP is a must, familiarity with and with financial services is desired - Excellent written and verbal communication skills, with an ability to build trust and influence decisions across functions, and to explain complex technical concepts to technical and non-technical audiences alike - Track record of delivering lasting customer impact through shipping well-thought out product improvements - Aptitude and appetite for using data to inform your decision-making - Hands-on, curious, and willing to challenge yourself and grow your scope of responsibilities over time OUR OFFER - Work with colleagues that lift you up, challenge you, celebrate you, and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here - Operate with a high degree of autonomy that allows you to make an impact and meaningfully impact a critical area of our product - Experience a flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe including the founders of Looker, Datadog, GitHub, and UiPath - Enjoy annual offsites where the entire company co-locates to collaborate in person - Receive a top-of-market equity and cash compensation package as well as access to a self-development budget - Work at our prime office locations in Berlin or London for three days per week or more OUR STANCE - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.   About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile ("we" or "us") is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates' data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile's Applicant Privacy Policy https://taktile.com/legal/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.

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 responsable de deuxième niveau de l’équipe Applied AI Industries pour l’Europe du Sud et le Moyen-Orient chez Anthropic, vous stimulerez l’adoption de l’IA de pointe en partenariat avec le reste de l’organisation commerciale (go-to-market). Nos clients Industries en France, dans la péninsule Ibérique et en Italie comptent parmi les plus grandes entreprises de la région, dans les services financiers, la santé et les sciences de la vie, l’industrie manufacturière, les télécommunications, la distribution, l’énergie et d’autres secteurs. Vous vous appuierez sur votre expérience de la création et du management d’équipes d’avant-vente technique pour favoriser une transformation positive par l’IA, qui réponde aux besoins métier de nos clients et à leurs exigences techniques et réglementaires, tout en offrant un haut niveau de fiabilité et de sécurité. Vous dirigerez et développerez l’équipe d’architectes de solutions qui travaille avec les account executives pour aider les entreprises à adopter et à déployer les produits d’Anthropic, notamment Claude Cowork, Claude Code et la Claude Development Platform (notre API). Vous mettrez à profit vos compétences techniques et votre expérience de la vente consultative pour recruter d’excellents managers de premier niveau et contributeurs individuels, mettre en place les processus nécessaires au passage à l’échelle de votre équipe et représenter directement Anthropic lors d’échanges stratégiques avec les clients. Votre équipe couvrant simultanément plusieurs pays et secteurs, il vous reviendra d’aborder de manière stratégique les comptes complexes et d’identifier et de déployer des solutions adaptées à chaque marché, avec sa langue, sa culture d’entreprise et son contexte réglementaire. Responsabilités Recruter, manager et accompagner une équipe de managers de premier niveau qui constitueront à leur tour des équipes d’Applied AI Architects avant-vente en France, dans la péninsule Ibérique et en Italie. Définir les objectifs de votre équipe en collaboration avec la direction commerciale et établir les attentes de base en matière de performance. Jouer le rôle de sponsor technique et exécutif auprès de clients stratégiques à forte valeur dans la région, et les conseiller sur leur stratégie globale d’adoption de l’IA, le cadrage de leurs cas d’usage et la conduite de leurs projets pilotes. Collaborer étroitement avec la direction commerciale Europe du Sud (qui couvre également le Moyen-Orient et l’Afrique) pour élaborer des stratégies pour les comptes complexes et identifier de nouveaux moyens de stimuler l’adoption des produits d’Anthropic, par secteur ou par cas d’usage transverse. Aider les clients à répondre aux exigences réglementaires locales et européennes (par exemple le règlement européen sur l’IA, le RGPD, DORA et les attentes en matière de résidence des données), et adapter l’approche de votre équipe à la culture d’entreprise de chaque marché. Travailler avec des équipes transverses, comme le produit et l’ingénierie, pour qu’Anthropic priorise les retours clients ou lève les obstacles à l’adoption dans la région. Vous déplacer régulièrement en Europe du Sud, chez des clients ou lors de conférences, pour des sessions avec des dirigeants, des ateliers techniques et le développement de relations. Établir une vision commune pour la création de solutions favorisant une IA bénéfique et sûre dans les produits technologiques. Contribuer au leadership d’opinion par des interventions en conférence, des webinaires et la création de contenus techniques. Suivre les tendances émergentes de l’IA et l’évolution du paysage concurrentiel. Ce poste pourrait vous correspondre si vous: Justifiez de plus de 7 ans d’expérience en management d’équipes d’avant-vente technique, dont une expérience de management de deuxième niveau ou supérieur (management de managers). Avez vendu des produits techniques complexes à de grandes entreprises en France, dans la péninsule Ibérique, en Italie, au Moyen-Orient et en Afrique. Avez travaillé dans plusieurs secteurs, tels que les services financiers, la santé et les sciences de la vie, l’industrie manufacturière, les télécommunications, la distribution et l’énergie. Comprenez les différences culturelles entre les marchés d’Europe du Sud et le contexte réglementaire de vos clients, et adaptez votre approche à chacun. Abordez de manière très stratégique les comptes complexes et savez traduire cette réflexion en plans que votre équipe et vos homologues commerciaux peuvent exécuter. Possédez une solide maîtrise technique des cas d’usage de l’IA en entreprise, des intégrations d’API et des déploiements de LLM. Excellez dans la création et le développement rapide d’équipes et de processus au sein d’environnements ambigus et en évolution rapide. Disposez d’excellentes capacités de communication, de collaboration et de coaching. Faites preuve d’une forte présence auprès des dirigeants et savez nouer des relations approfondies avec les responsables métier et techniques des plus grandes entreprises de la région. Connaissez au moins dans les grandes lignes l’architecture et le fonctionnement des LLM. Êtes passionné(e) par l’idée de rendre les technologies puissantes sûres et bénéfiques pour la société. Restez informé(e) en vous intéressant activement à la recherche émergente et aux tendances du secteur de l’IA. Les candidatures les plus solides pourront présenter: Une expérience de direction de l’avant-vente en entreprise à grande échelle : plus de 5 ans à la tête d’équipes d’architectes de solutions en hypercroissance (idéalement plusieurs dizaines de personnes dans plusieurs pays), avec une expérience directe du management de managers et du développement des talents dans des environnements complexes de vente de logiciels aux grandes entreprises. Une ouverture multilingue et multiculturelle : en plus de l’anglais, la maîtrise courante d’une ou de plusieurs des langues suivantes : français, italien, espagnol ou portugais, ainsi qu’une expérience du management d’équipes réparties dans plusieurs pays. Une expérience des modèles économiques à la consommation : idéalement, vous avez conçu des cadres go-to-market fondés sur la consommation, et pas uniquement sur des licences SaaS. 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. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: 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 .