Find Your Next Opportunity

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.Engineering at Brex Engineering at Brex is about building systems that scale with speed and intention. Our teams operate with high autonomy and deep collaboration, own outcomes end to end, and push for excellence from architecture to deployment. It’s an environment where engineering is a craft and builders grow by solving meaningful technical problems. What you’ll do The Identity and Access Management team builds and maintains secure, user-friendly authentication and authorization systems that protect users, safeguard company assets, and provide a seamless access experience for developers. The team owns critical platform capabilities including login methods, step-up authentication, our custom authorization platform, account delegation flows like Copilot, Pro Access login, embedded partnerships authentication, and core vendor integrations such as Okta and Oso. As a Senior Software Engineer on IAM, you will lead projects and initiatives to improve the security, reliability, and developer experience of our authentication, authorization, and identity platforms for customers, partners, and internal systems. You will scope and drive projects with clear impact, work cross-functionally with the broader engineering organization, help define the team’s technical quality, and help evolve the identity platform as Brex invests in signed identity propagation, delegated and agent identity, fine-grained authorization, stronger auditability, and enterprise-ready customer authentication experiences. Where you’ll work This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require Monday, Wednesday and Thursday to be designated in office days. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities: Design, build, and operate backend systems and APIs for authentication, authorization, identity context, and audit-related workflows. Lead engineers on initiatives end to end, from technical design and implementation through rollout, measurement, and operational support. Improve login and access experiences across SSO, MFA, step-up authentication, delegated access, and enterprise identity flows. Build and extend authorization systems that support custom roles, resource-aware access control, and secure defaults for product teams. Help create durable, identity-aware audit trails and attribution for user, service, delegated, and agent-driven actions. Partner closely with engineers across Brex to make IAM integrations secure by default and easier to adopt through clear patterns, tooling, and shared libraries. Mentor engineers on the team to deliver high-quality code and produce operational improvements that raise the bar for reliability and maintainability across the team’s systems. Requirements: 7+ years of professional experience designing, developing, and deploying applications. Strong software engineering fundamentals and experience building reliable production backend systems. Experience leading complex projects and mentoring other engineers. Have strong API design fundamentals, rigor around testing, code quality, and documentation. An understanding of core IAM concepts such as authentication, authorization, sessions, tokens, MFA, SSO, OAuth, SAML, OIDC, or RBAC. Clear communication, collaborates well across teams, and are effective in cross-functional technical discussions. Demonstrating care about operational excellence and know how to improve system reliability, reduce toil, and maintain high-quality services over time. Having a strong product and engineering judgment and can balance security, usability, and developer experience. Bonus Points: Experience working on identity and access management, authentication, authorization, or audit systems in a production environment. Hands-on experience with Okta, Oso, SSO, SAML, OIDC, OAuth, passkeys, or WebAuthn. Experience building enterprise-facing admin controls, custom roles, delegated access flows, or audit trails. Worked on platform teams that provide shared infrastructure, paved roads, or secure-by-default frameworks for other engineering teams. Compensation: The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package. Brex LLC is a wholly owned subsidiary of Capital One, N.A.Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.Engineering at Brex Engineering at Brex is about building systems that scale with speed and intention. Our teams operate with high autonomy and deep collaboration, own outcomes end to end, and push for excellence from architecture to deployment. It’s an environment where engineering is a craft and builders grow by solving meaningful technical problems. What you’ll do The Identity and Access Management team builds and maintains secure, user-friendly authentication and authorization systems that protect users, safeguard company assets, and provide a seamless access experience for developers. The team owns critical platform capabilities including login methods, step-up authentication, our custom authorization platform, account delegation flows like Copilot, Pro Access login, embedded partnerships authentication, and core vendor integrations such as Okta and Oso. As a Senior Software Engineer on IAM, you will lead projects and initiatives to improve the security, reliability, and developer experience of our authentication, authorization, and identity platforms for customers, partners, and internal systems. You will scope and drive projects with clear impact, work cross-functionally with the broader engineering organization, help define the team’s technical quality, and help evolve the identity platform as Brex invests in signed identity propagation, delegated and agent identity, fine-grained authorization, stronger auditability, and enterprise-ready customer authentication experiences. Where you’ll work This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require Monday, Wednesday and Thursday to be designated in office days. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities: Design, build, and operate backend systems and APIs for authentication, authorization, identity context, and audit-related workflows. Lead engineers on initiatives end to end, from technical design and implementation through rollout, measurement, and operational support. Improve login and access experiences across SSO, MFA, step-up authentication, delegated access, and enterprise identity flows. Build and extend authorization systems that support custom roles, resource-aware access control, and secure defaults for product teams. Help create durable, identity-aware audit trails and attribution for user, service, delegated, and agent-driven actions. Partner closely with engineers across Brex to make IAM integrations secure by default and easier to adopt through clear patterns, tooling, and shared libraries. Mentor engineers on the team to deliver high-quality code and produce operational improvements that raise the bar for reliability and maintainability across the team’s systems. Requirements: 7+ years of professional experience designing, developing, and deploying applications. Strong software engineering fundamentals and experience building reliable production backend systems. Experience leading complex projects and mentoring other engineers. Have strong API design fundamentals, rigor around testing, code quality, and documentation. An understanding of core IAM concepts such as authentication, authorization, sessions, tokens, MFA, SSO, OAuth, SAML, OIDC, or RBAC. Clear communication, collaborates well across teams, and are effective in cross-functional technical discussions. Demonstrating care about operational excellence and know how to improve system reliability, reduce toil, and maintain high-quality services over time. Having a strong product and engineering judgment and can balance security, usability, and developer experience. Bonus Points: Experience working on identity and access management, authentication, authorization, or audit systems in a production environment. Hands-on experience with Okta, Oso, SSO, SAML, OIDC, OAuth, passkeys, or WebAuthn. Experience building enterprise-facing admin controls, custom roles, delegated access flows, or audit trails. Worked on platform teams that provide shared infrastructure, paved roads, or secure-by-default frameworks for other engineering teams. Compensation: The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package. Brex LLC is a wholly owned subsidiary of Capital One, N.A.Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.

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 and we're considering candidates in the UK, Spain, and Ireland. About the role: We are looking for an engineering manager to lead our application security engineering team.  You will be responsible for developing and implementing security strategies, as well as liaising with other teams delivering parts of our overall security posture. You'll be accountable for the security of software you don't write, in teams that don't report to you. The people who do well in this role get there by making the secure path the easiest one. The ideal candidate will have a proven track record of implementing and improving the maturity of security programs, through the use of automation and systematic approaches in Cloud-based SaaS organizations, and possess excellent leadership and communication skills.  You can tell the difference between a finding and a risk, and know how to prioritise risk mitigation, guiding the squad towards the most effective use of their time.  You must have significant engineering acumen as this is a highly technology-driven role.  Your main role will be to support your engineering team and to do that you should be able to review a threat model, challenge a severity rating, and contribute to a design review.   Responsibilities: Lead our application security team covering a range of areas, including application security, cloud security, and internal tooling development. Lead 1st and 3rd party vulnerability management, including coordinated disclosure with external reporters and embargoed fixes. Define, optimize, and implement the engineering strategy in concert with the security leadership team, ICs and stakeholders across the business. Regular 1:1s, coaching and mentoring to ensure your team members are motivated, happy and engaged. Providing continuous feedback to ensure that they can add value while maintaining high standards. Collaborating with our engineering leaders and other organization stakeholders to help define and influence wider product strategy, roadmaps and designs. Be actively engaged with significant incidents, including preparation, simulation, response, and affected customer notification and communications. Contributing to and reviewing design documents for upcoming projects. Ensuring projects are well-defined and ready for development. Advise on how to break down projects into tasks. Requirements: Prior experience running a security engineering team. You have a strong engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. You will be comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, be it technical or product-focused. While you’re great with people and adept at managing relationships, you still keep up-to-date with the latest technical trends and shifts to maintain and enhance your understanding of the challenges your teams face. You approach security with a DevOps mindset. You prefer security by enablement, automation, and guardrails over gates and roadblocks. You have familiarity with securing and operating on public Cloud (AWS, GCP, Azure) providers, with Kubernetes, and with securing combined open-source software (OSS) and SaaS products. You are an excellent written and verbal communicator. You can articulate complex cybersecurity concepts to both technical and non-technical audiences. You are adept at translating security problems to business impact.   Bonus Points: A technical background, ideally with programming or software engineering experience, before transitioning into security & leadership. Working knowledge of Grafana Labs OSS projects and products. Experience in using observability tooling to solve security problems.  Experience working with OSS communities. Experience securing large-scale distributed systems. Compensation & Rewards: In Ireland, the Base compensation range for this role is €117,600 - €141,120. 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. #LI-Remote *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.

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 and we're considering candidates in the UK, Spain, and Ireland. About the role: We are looking for an engineering manager to lead our application security engineering team.  You will be responsible for developing and implementing security strategies, as well as liaising with other teams delivering parts of our overall security posture. You'll be accountable for the security of software you don't write, in teams that don't report to you. The people who do well in this role get there by making the secure path the easiest one. The ideal candidate will have a proven track record of implementing and improving the maturity of security programs, through the use of automation and systematic approaches in Cloud-based SaaS organizations, and possess excellent leadership and communication skills.  You can tell the difference between a finding and a risk, and know how to prioritise risk mitigation, guiding the squad towards the most effective use of their time.  You must have significant engineering acumen as this is a highly technology-driven role.  Your main role will be to support your engineering team and to do that you should be able to review a threat model, challenge a severity rating, and contribute to a design review.   Responsibilities: Lead our application security team covering a range of areas, including application security, cloud security, and internal tooling development. Lead 1st and 3rd party vulnerability management, including coordinated disclosure with external reporters and embargoed fixes. Define, optimize, and implement the engineering strategy in concert with the security leadership team, ICs and stakeholders across the business. Regular 1:1s, coaching and mentoring to ensure your team members are motivated, happy and engaged. Providing continuous feedback to ensure that they can add value while maintaining high standards. Collaborating with our engineering leaders and other organization stakeholders to help define and influence wider product strategy, roadmaps and designs. Be actively engaged with significant incidents, including preparation, simulation, response, and affected customer notification and communications. Contributing to and reviewing design documents for upcoming projects. Ensuring projects are well-defined and ready for development. Advise on how to break down projects into tasks. Requirements: Prior experience running a security engineering team. You have a strong engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. You will be comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, be it technical or product-focused. While you’re great with people and adept at managing relationships, you still keep up-to-date with the latest technical trends and shifts to maintain and enhance your understanding of the challenges your teams face. You approach security with a DevOps mindset. You prefer security by enablement, automation, and guardrails over gates and roadblocks. You have familiarity with securing and operating on public Cloud (AWS, GCP, Azure) providers, with Kubernetes, and with securing combined open-source software (OSS) and SaaS products. You are an excellent written and verbal communicator. You can articulate complex cybersecurity concepts to both technical and non-technical audiences. You are adept at translating security problems to business impact.   Bonus Points: A technical background, ideally with programming or software engineering experience, before transitioning into security & leadership. Working knowledge of Grafana Labs OSS projects and products. Experience in using observability tooling to solve security problems.  Experience working with OSS communities. Experience securing large-scale distributed systems. Compensation & Rewards: In Spain, the Base compensation range for this role is €94,025 - €112,830. 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. #LI-Remote *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.

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 and we're considering candidates in the UK, Spain, and Ireland. About the role: We are looking for an engineering manager to lead our application security engineering team.  You will be responsible for developing and implementing security strategies, as well as liaising with other teams delivering parts of our overall security posture. You'll be accountable for the security of software you don't write, in teams that don't report to you. The people who do well in this role get there by making the secure path the easiest one. The ideal candidate will have a proven track record of implementing and improving the maturity of security programs, through the use of automation and systematic approaches in Cloud-based SaaS organizations, and possess excellent leadership and communication skills.  You can tell the difference between a finding and a risk, and know how to prioritise risk mitigation, guiding the squad towards the most effective use of their time.  You must have significant engineering acumen as this is a highly technology-driven role.  Your main role will be to support your engineering team and to do that you should be able to review a threat model, challenge a severity rating, and contribute to a design review.   Responsibilities: Lead our application security team covering a range of areas, including application security, cloud security, and internal tooling development. Lead 1st and 3rd party vulnerability management, including coordinated disclosure with external reporters and embargoed fixes. Define, optimize, and implement the engineering strategy in concert with the security leadership team, ICs and stakeholders across the business. Regular 1:1s, coaching and mentoring to ensure your team members are motivated, happy and engaged. Providing continuous feedback to ensure that they can add value while maintaining high standards. Collaborating with our engineering leaders and other organization stakeholders to help define and influence wider product strategy, roadmaps and designs. Be actively engaged with significant incidents, including preparation, simulation, response, and affected customer notification and communications. Contributing to and reviewing design documents for upcoming projects. Ensuring projects are well-defined and ready for development. Advise on how to break down projects into tasks. Requirements: Prior experience running a security engineering team. You have a strong engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. You will be comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, be it technical or product-focused. While you’re great with people and adept at managing relationships, you still keep up-to-date with the latest technical trends and shifts to maintain and enhance your understanding of the challenges your teams face. You approach security with a DevOps mindset. You prefer security by enablement, automation, and guardrails over gates and roadblocks. You have familiarity with securing and operating on public Cloud (AWS, GCP, Azure) providers, with Kubernetes, and with securing combined open-source software (OSS) and SaaS products. You are an excellent written and verbal communicator. You can articulate complex cybersecurity concepts to both technical and non-technical audiences. You are adept at translating security problems to business impact.   Bonus Points: A technical background, ideally with programming or software engineering experience, before transitioning into security & leadership. Working knowledge of Grafana Labs OSS projects and products. Experience in using observability tooling to solve security problems.  Experience working with OSS communities. Experience securing large-scale distributed systems. Compensation & Rewards: In the UK, the Base compensation range for this role is £103,958 - £124,750. 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. #LI-Remote *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.

Who we are About Stripe Stripe is a technology company focused on improving the conditions for economic growth and prosperity. We build programmable financial infrastructure, rethinking from first principles how financial services should work, to make it easier and cheaper for any business to start and scale. More than 10 million businesses build on Stripe, spanning the economic frontier—from solo founders to established enterprises—united by a practical focus on growth. The most ambitious companies in the world use Stripe as core infrastructure to grow faster. They process trillions of dollars a year on Stripe, equivalent to around 1.6% of global GDP. While economic growth makes everyone better off, open markets also enable greater variety. When any business can easily serve a global customer base, the quality and diversity of products in the world increase, and craft and creativity are unleashed into the smallest niches. Our own growth is wholly contingent on the success of the businesses building on Stripe. We therefore invest back into our technology at an unusual rate. We make upgrades to our products every single day to deliver compounding gains to our customers. We maintain some of the most reliable APIs on the internet. We build entirely new pieces of financial infrastructure to enable new ideas. And our significant advances in risk and fraud infrastructure over many years are making the internet economy safer and more accessible. Though people at Stripe don’t tend to take themselves seriously, Stripe is a fairly serious place: our customers are depending on us for their livelihoods. We admire ambition, intensity, curiosity, humility, and rigor. The most effective people become knowledgeable about many domains besides their own. Any company is an applied exercise in understanding some aspect of society or the market. In working with so many (especially the new and innovative ones), we think that Stripe is one of the very best places to learn about how the world works.   About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our Fraud, Losses, and Financial Crime Data Science team builds the models and data products that protect Stripe and its users from fraud, account takeover, and financial crime. We own the full fraud and loss modeling stack - from account takeover detection and card fraud classification to merchant-level loss estimation, unsupervised anomaly detection, and financial crime risk modeling. We partner with Fraud Engineering, Financial Crimes Engineering, and Risk Operations to bring these systems into production and ensure they have measurable impact on Stripe's financial integrity and user trust.   What you’ll do As an intern at Stripe you’ll work on projects across our stack that directly impact the way millions of businesses operate. You’ll own problems end to end with the support of your manager and teammates. It’s an opportunity to work alongside some of the most creative and technically rigorous data analysts and scientists in the industry. You'll partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You'll work closely with partners to extract insights from the rich and complex data at Stripe. You'll build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You'll deliver actionable business recommendations through analyses and data storytelling. Our internship program is competitive and the expectations are high.   Responsibilities Applying probability distributions, statistical inference, and hypothesis testing to quantify uncertainty and evaluate business outcomes Using Python or R for data analysis, data processing, visualizations, statistical modeling, machine learning, predictive analytics, automation, and implementing causal inference and experimental analyses Building, training, and evaluating predictive models across regression and classification tasks for bias-variance trade-offs and model selection Modeling temporal dependencies, seasonality, and trend decomposition to generate and evaluate time-series predictions Identifying structural patterns, clusters, and outliers in unlabeled data Deploying models in production and adjusting model thresholds to improve performance Designing, running, and analyzing complex experiments and leveraging causal inference designs Using SQL and Spark to create, transform, and analyze large datasets Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly Present your work to the Data Science team, partner teams, and fellow interns.   Who you are Ambitious builder: You’re energized by building solutions without clear precedent and solving problems with far-reaching consequences. Successful Stripes are deeply curious, and prefer the joy of discovery to the comfort of certainty. Rigorous thinker: You appreciate that things worth doing are rarely simple. You enjoy working on problems that have never been tackled before. Adaptable problem solver: You adapt quickly and treat obstacles as opportunities. At Stripe we embrace kindness while encouraging Stripes to take measured risks and act boldly, even in the absence of consensus.   Minimum requirements Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in December 2027 or spring/summer 2028 Experience with SQL and a scientific computing language (such as Python, R, etc.) Proficiency with AI tools to accelerate model development, analysis, and coding Experience communicating and collaborating with multidisciplinary stakeholders in a team environment    Preferred qualifications Experience writing and debugging data pipelines Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts

Who we are  At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.. Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!  Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. .See yourself at Twilio Join the team as Twilio’s next Senior Solutions Engineer, South EMEA. About the job This position is needed to enable our customers to build the future of communications. The Presales Engineer is a critical part of the sales team focused on our both New Business and Strategic segments. Twilio’s Presales Engineers are responsible for delivering the Technical Win and best Product Fit to our customers. They lead the technical pre-sales relationship, drive technical discovery, propose technical architectures, demonstrate the product, anticipate concerns and offer creative solutions. They build customer trust in Twilio’s solutions. Presales Engineers should be comfortable engaging a CEO or sketching out an API flow on a whiteboard with customer software engineers. Responsibilities In this role, you’ll: Partner with Account Executives to execute pre-sales activities including opportunity qualification, demonstrations, Proof-of-Concept, RFP, design documentation, technical presentations and enablement sessions. Help customers achieve success by leading the technical and product sale, recommending best-practice solutions, and guiding them on how to use Twilio’s APIs. Establish yourself as a trusted advisor to our customers, by taking the lead on understanding customer technical pains through discovery in order to design, demonstrate, and present innovative solutions that solve business challenges. Build and present highly interactive, complex and engaging customer product demonstrations to help showcase the capabilities of Twilio’s Communications Products, while effectively forming strong customer relationships with both technical and nontechnical stakeholders Be Hands-on, high-energy, passionate, and a creative problem solver, equipped with the knowledge of how to get things done and ability to lead others to success. Take the initiative to identify and solve problems - both for the customer and within the organization as we grow Contribute to the broader Twilio Presales Engineering community through knowledge sharing, constructing demonstration materials, and creating reusable presentations Mentor less experienced Presales Engineers Qualifications  Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 8+ years pre-sales experience selling complex, technical products or 10+ years of professional experience supporting technical products coupled with customer facing experience, particularly in delivery or consulting Excellent communicator and presenter able to gain audience confidence An engaging storyteller - you can gain audience confidence and communicate complex topics to multiple levels of audience. Ability to build a deep understanding of a customer’s communications needs and guide them to a technical solution Previous software development experience or working knowledge in one or more of the following areas: Backend (Java, C#, Node.js, Python, PHP) Web development (JavaScript, HTML/CSS, frontend frameworks - React, Vue.js, Angular) Experience building with REST APIs Previous experience in Telecom, SIP, Contact Center, or Security . Experience with sales methodologies Bachelor’s and/or Master’s degree in a technical discipline (Engineering, Mathematics, Computer Science) or equivalent practical experience  Desired: Familiarity with cloud platforms (Amazon Web Services, Google Cloud, Microsoft Azure) and cloud application architecture. Experience working with customers in the DACH region Proficient French, Spanish or Italian speaker  Location  This role will be remote and based in the UK, Ireland or Spain Travel  We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 35% travel is anticipated to help you connect in-person in a meaningful way.  What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.Sales at Brex The Sales team is the driving factor behind revenue for Brex and every member of our team directly affects our bottom line. We focus on generating new opportunities, acquiring new customers, and building even stronger relationships with our current customers. Our winning culture recognizes big team wins and celebrates individual accomplishments. We ensure that top performers are recognized and have built a competitive environment to motivate and unify the team. What you’ll do Brex is hiring a Director of Revenue Operations to own the operating model for our AE, SDR, and Partnerships motions. You will report into the Head of Revenue Operations as a strategic leader. This role sets the coverage model, incentive architecture, and operating cadence for the teams you support, and is accountable for their overall performance. You'll manage a team of RevOps managers and individual contributors, and be the decision maker on tradeoffs between speed, rigor, and scale across your domain. This role requires someone who can move fluidly between executive-level narratives and the underlying mechanics that drive performance and coach their team to do the same. Where You'll Work  This role will be based in our Salt Lake City office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities Be a trusted business partner to the SVP Sales in owning and improving the strategies, coverage models, operating rhythms, efficiency, and incentive compensation structure to drive revenue growth Lead initiatives with enablement, data, finance, systems, marketing, operations, and other revenue operations team members to support your business partners and implement improvements Own and improve upon cadences for forecasting, pipeline, capacity planning, rep productivity, territory carving, quota setting, and incentive design Lead and develop a team of 6+ supporting New Business Account Executives, Sales Development Representatives, and the Partnerships Organization Present to senior leaders on business strategy, segment performance, and analytical deep dives Drive the annual planning process for the GTM teams you support, working closely with business partners, finance, and other teams to set the strategy, align incentives, and ensure operational excellence Identify and prioritize efficiency improvements within the Rev Ops org, including processes, reporting, and automation leveraging AI or other tools. Requirements 8+ years of experience in revenue operations, sales strategy, or sales operations with at least 2+ years managing managers; preferably at a Fintech or SaaS company A passion for coaching and developing a team with varying levels of experience Comprehensive understanding of sales funnels, processes, and methodologies in a scaled revenue organization, including with partners Demonstrated success operating in a complex cross functional environment to deliver impactful outcomes Direct experience owning incentive compensation design and coverage models for AE and SDR organizations at scale Strong problem solving skills and collaborative approach to solutioning within and outside of Rev Ops Ability to influence with or without authority, strong stakeholder management and executive communication skills Extensive experience with Salesforce and other GTM systems, including examples of AI-driven efficiency improvements Analytical mindset with the ability to quickly interpret data and quickly understand complex models Strong attention to detail including modeling, communication, and documentation Compensation The expected salary range for this role is $228,000 - $285,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.

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 USA EST time zones only. Senior Software Engineer - Session Replay The Opportunity: The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong. Session Replay connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues. This team works at the intersection of: frontend observability, backend data processing and storage at scale, debugging workflows across products, privacy and access control, performance and cost constraints at scale. Session Replay is still early, which means you’ll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Senior Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks.  What You’ll Be Doing: As a Senior Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will: Own end-to-end technical direction for Session Replay, spanning frontend, backend, and data systems Drive the evolution of our backend architecture, including: Designing systems around columnar/analytical data storage for large-scale session data  Defining data models, ingestion pipelines, and query patterns Lead the design of investigation workflows, connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud Make high-leverage architectural decisions that impact multiple teams and products Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build cohesive cross-product experiences Engage directly with customers - joining calls, gathering structured feedback, and helping customers instrument and adopt Session Replay successfully.  Improve engineering standards, patterns, and operational practices within the team Mentor engineers and help grow technical leadership within the team Technologies you'll work with: Go (backend services and APIs) Columnar/Analytical data storage (core data storage and querying) Object storage (S3, GCS, Azure Blob Storage) and MySQL  TypeScript / React (user-facing workflows) Grafana ecosystem (Mimir, Loki, Tempo, etc.) We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What Makes You a Great Fit:  You are comfortable working in a remote-first company; communication is key. For us, working together means being collaborative, friendly, kind, and respectful. We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team’s decision. You are able to communicate design decisions clearly in written and spoken English. Ability to reason about data-intensive systems (ingestion, storage, querying, cost trade-offs) You are comfortable owning features in ambiguous problem spaces. We are a small team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own is crucial. You have a good understanding of a software development process that takes a user-centered approach. You easily build an understanding of the users’ context and goals which will help you build the right solution with the maximum value. You enjoy working on complex solutions – Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation. You use AI tools as a natural part of your engineering workflow - whether for accelerating exploration, code review, or reasoning through design tradeoffs - and you're thoughtful about where they help and where they don't. Bonus Points For: Experience with columnar/analytical databases Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.). Experience building debugging or developer-focused tools. Familiarity with privacy, security, and access control in data-heavy systems Experience working on performance-sensitive systems (large datasets, real-time queries, session data) Compensation & Rewards: In the United States, the Base compensation range for this role is USD 154,445  -  USD 185,334.  Actual compensation may vary based on level, experience, and skillset as assessed in 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.

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 The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures. We're looking for full stack machine learning engineers with experience across model training, productionization, and evaluation. You'll also look for ways to use Claude to speed up how these models get built and maintained. This is classical ML on structured and behavioral data. You do not need a deep learning background or knowledge of LLM internals. What matters is that you have trained and shipped models where the stakes are real, and that you care about building robust production systems as much as the model itself. A false positive here is a legitimate customer locked out, so measurement, precision, and safe rollout are part of the job. Key responsibilities Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation Make backtesting, shadow deployment, and staged rollout the default path to production, with monitoring for training / serving skew, drift, and adversarial adaptation Work with our data scientists and our Policy & Enforcement team to improve label coverage and quality Partner with product and platform teams to gather signals and integrate model decisions with minimal impact on their systems' latency, stability, or overall architecture Minimum qualifications Proficiency in Python and SQL Experience training machine learning models and deploying them to production Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow) Working understanding of point-in-time correctness and training / serving skew, and how to prevent both Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders Preferred qualifications Experience building or operating a feature platform such as Chronon, Feast, or Tecton Experience with stream processing engines such as Flink, Beam / Dataflow, or Kafka Streams Experience training ML models in a production setting with demanding serving requirements, such as fraud, risk, or ranking Experience with tree-based models on tabular data Experience building unsupervised, clustering-based or graph-based detection systems to surface coordinated account abuse Experience in integrity, spam, fraud, or abuse detection Experience working with scarce, delayed, or noisy labels Experience with AutoML or other approaches to automating the ML workflow Care about the societal impacts of AI and want your work to make powerful systems safer 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:$320,000—$485,000 USDLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.