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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 fully remote position and we're considering candidates in Spain. About Product Management As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own the experience for your product as well as its roadmap and competitive positioning, and you will collaborate with company leadership on setting your product's goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connects R&D to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The role As the Staff Product Manager for Enterprise Deployment Solutions, you'll own the Grafana Labs offerings that run outside our standard multi-tenant SaaS. That includes Grafana Federal Cloud , for organizations that need FedRAMP-authorized observability: US federal agencies; state, local, and education (SLED) customers; and commercial companies that sell FedRAMP offerings of their own. It also includes Grafana Cloud Bring Your Own Cloud (BYOC) , which delivers the full Grafana Cloud experience while the customer pays the infrastructure bill directly to their cloud provider, saving them significantly at scale. Your mission is to make Grafana Labs the obvious choice for organizations that can't use standard SaaS because of compliance, data, or cost-at-scale constraints. Deployment choices change the product: features that are simple in standard SaaS can be hard, expensive, or impossible in a regulated or customer-owned environment. You’ll be responsible for adapting existing Grafana Cloud capabilities to these environments, deciding which features come in, which wait, and which stay out, and occasionally building something specific to BYOC or Federal Cloud. You'll also help shape which deployment models we offer next. Along the way, you’ll use AI tools daily to speed up research, analyze product signals, and develop positioning, applying strong judgment to the results. As the Staff Product Manager for Enterprise Deployment Solutions, you will: Define the vision, strategy, and roadmap for the Grafana Bring Your Own Cloud and Grafana Federal Cloud products, using product data and market research to balance customer value against engineering cost and technical constraints Own positioning, messaging, and differentiation for these products, including how they compare to regular Grafana Cloud, and partner with Product Marketing on launches, competitive analysis, enablement, and demand programs Partner with Engineering and Technical Program Management on buildouts for these environments, balancing customer timelines with engineering capacity Work directly with customers, prospects, and the field on strategic deals and brief partners, resellers, and analysts on our deployment options Partner with Security, Compliance, and Legal to work through product changes affecting our authorization or existing customer commitments We’re excited about you because you have 5+ years of product management experience on a technical B2B product, or a technical background (software engineering, solutions architecture, SRE, or technical program management) plus a demonstrated move into product ownership Hands-on experience with a non-standard SaaS deployment model, such as self-managed, air-gapped, sovereign, BYOC, single-tenant, or FedRAMP/government cloud, and a firsthand understanding of how it changes the product, its operations, and its economics Experience with cloud infrastructure, platform software, or developer tools Clear product and go-to-market judgment: you've shaped what a product should be and how it's positioned and sold, not only when it ships Interest in working with US public sector customers and learning their needs and buying cycles. Deep compliance expertise isn't required. Experience leading across multiple teams without direct authority, with excellent written and verbal communication in a remote, globally distributed organization Bonus Points Experience selling to or building for US federal, state, or local government customers, or other highly regulated industries Familiarity with government or sovereign cloud frameworks, such as FedRAMP, StateRAMP/GovRAMP, BSI C5, or SecNumCloud, or with offerings such as AWS GovCloud, Azure Government, AWS European Sovereign Cloud, or GCP Sovereign Cloud Experience with pricing and packaging across deployment models Experience with observability, monitoring, or other data-intensive infrastructure products Experience working with resellers, systems integrators, or cloud marketplace partners Familiarity with open source software or commercial open source companies In Spain, the base compensation range for this role is EUR 106,680 - EUR 128,016 . 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 fully remote position and we're considering candidates in Ireland. About Product Management As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own the experience for your product as well as its roadmap and competitive positioning, and you will collaborate with company leadership on setting your product's goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connects R&D to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The role As the Staff Product Manager for Enterprise Deployment Solutions, you'll own the Grafana Labs offerings that run outside our standard multi-tenant SaaS. That includes Grafana Federal Cloud , for organizations that need FedRAMP-authorized observability: US federal agencies; state, local, and education (SLED) customers; and commercial companies that sell FedRAMP offerings of their own. It also includes Grafana Cloud Bring Your Own Cloud (BYOC) , which delivers the full Grafana Cloud experience while the customer pays the infrastructure bill directly to their cloud provider, saving them significantly at scale. Your mission is to make Grafana Labs the obvious choice for organizations that can't use standard SaaS because of compliance, data, or cost-at-scale constraints. Deployment choices change the product: features that are simple in standard SaaS can be hard, expensive, or impossible in a regulated or customer-owned environment. You’ll be responsible for adapting existing Grafana Cloud capabilities to these environments, deciding which features come in, which wait, and which stay out, and occasionally building something specific to BYOC or Federal Cloud. You'll also help shape which deployment models we offer next. Along the way, you’ll use AI tools daily to speed up research, analyze product signals, and develop positioning, applying strong judgment to the results. As the Staff Product Manager for Enterprise Deployment Solutions, you will: Define the vision, strategy, and roadmap for the Grafana Bring Your Own Cloud and Grafana Federal Cloud products, using product data and market research to balance customer value against engineering cost and technical constraints Own positioning, messaging, and differentiation for these products, including how they compare to regular Grafana Cloud, and partner with Product Marketing on launches, competitive analysis, enablement, and demand programs Partner with Engineering and Technical Program Management on buildouts for these environments, balancing customer timelines with engineering capacity Work directly with customers, prospects, and the field on strategic deals and brief partners, resellers, and analysts on our deployment options Partner with Security, Compliance, and Legal to work through product changes affecting our authorization or existing customer commitments We’re excited about you because you have 5+ years of product management experience on a technical B2B product, or a technical background (software engineering, solutions architecture, SRE, or technical program management) plus a demonstrated move into product ownership Hands-on experience with a non-standard SaaS deployment model, such as self-managed, air-gapped, sovereign, BYOC, single-tenant, or FedRAMP/government cloud, and a firsthand understanding of how it changes the product, its operations, and its economics Experience with cloud infrastructure, platform software, or developer tools Clear product and go-to-market judgment: you've shaped what a product should be and how it's positioned and sold, not only when it ships Interest in working with US public sector customers and learning their needs and buying cycles. Deep compliance expertise isn't required. Experience leading across multiple teams without direct authority, with excellent written and verbal communication in a remote, globally distributed organization Bonus Points Experience selling to or building for US federal, state, or local government customers, or other highly regulated industries Familiarity with government or sovereign cloud frameworks, such as FedRAMP, StateRAMP/GovRAMP, BSI C5, or SecNumCloud, or with offerings such as AWS GovCloud, Azure Government, AWS European Sovereign Cloud, or GCP Sovereign Cloud Experience with pricing and packaging across deployment models Experience with observability, monitoring, or other data-intensive infrastructure products Experience working with resellers, systems integrators, or cloud marketplace partners Familiarity with open source software or commercial open source companies In Ireland, the base compensation range for this role is EUR 133,600 - EUR 160,320 . 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 fully remote position and we're considering candidates in Germany. About Product Management As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own the experience for your product as well as its roadmap and competitive positioning, and you will collaborate with company leadership on setting your product's goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connects R&D to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The role As the Staff Product Manager for Enterprise Deployment Solutions, you'll own the Grafana Labs offerings that run outside our standard multi-tenant SaaS. That includes Grafana Federal Cloud , for organizations that need FedRAMP-authorized observability: US federal agencies; state, local, and education (SLED) customers; and commercial companies that sell FedRAMP offerings of their own. It also includes Grafana Cloud Bring Your Own Cloud (BYOC) , which delivers the full Grafana Cloud experience while the customer pays the infrastructure bill directly to their cloud provider, saving them significantly at scale. Your mission is to make Grafana Labs the obvious choice for organizations that can't use standard SaaS because of compliance, data, or cost-at-scale constraints. Deployment choices change the product: features that are simple in standard SaaS can be hard, expensive, or impossible in a regulated or customer-owned environment. You’ll be responsible for adapting existing Grafana Cloud capabilities to these environments, deciding which features come in, which wait, and which stay out, and occasionally building something specific to BYOC or Federal Cloud. You'll also help shape which deployment models we offer next. Along the way, you’ll use AI tools daily to speed up research, analyze product signals, and develop positioning, applying strong judgment to the results. As the Staff Product Manager for Enterprise Deployment Solutions, you will: Define the vision, strategy, and roadmap for the Grafana Bring Your Own Cloud and Grafana Federal Cloud products, using product data and market research to balance customer value against engineering cost and technical constraints Own positioning, messaging, and differentiation for these products, including how they compare to regular Grafana Cloud, and partner with Product Marketing on launches, competitive analysis, enablement, and demand programs Partner with Engineering and Technical Program Management on buildouts for these environments, balancing customer timelines with engineering capacity Work directly with customers, prospects, and the field on strategic deals and brief partners, resellers, and analysts on our deployment options Partner with Security, Compliance, and Legal to work through product changes affecting our authorization or existing customer commitments We’re excited about you because you have 5+ years of product management experience on a technical B2B product, or a technical background (software engineering, solutions architecture, SRE, or technical program management) plus a demonstrated move into product ownership Hands-on experience with a non-standard SaaS deployment model, such as self-managed, air-gapped, sovereign, BYOC, single-tenant, or FedRAMP/government cloud, and a firsthand understanding of how it changes the product, its operations, and its economics Experience with cloud infrastructure, platform software, or developer tools Clear product and go-to-market judgment: you've shaped what a product should be and how it's positioned and sold, not only when it ships Interest in working with US public sector customers and learning their needs and buying cycles. Deep compliance expertise isn't required. Experience leading across multiple teams without direct authority, with excellent written and verbal communication in a remote, globally distributed organization Bonus Points Experience selling to or building for US federal, state, or local government customers, or other highly regulated industries Familiarity with government or sovereign cloud frameworks, such as FedRAMP, StateRAMP/GovRAMP, BSI C5, or SecNumCloud, or with offerings such as AWS GovCloud, Azure Government, AWS European Sovereign Cloud, or GCP Sovereign Cloud Experience with pricing and packaging across deployment models Experience with observability, monitoring, or other data-intensive infrastructure products Experience working with resellers, systems integrators, or cloud marketplace partners Familiarity with open source software or commercial open source companies In Germany, the base compensation range for this role is EUR 124,571 - EUR 149,485 . 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: 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 fully remote position and we're considering candidates in Canada EST. About Product Management As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own the experience for your product as well as its roadmap and competitive positioning, and you will collaborate with company leadership on setting your product's goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connects R&D to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The role As the Staff Product Manager for Enterprise Deployment Solutions, you'll own the Grafana Labs offerings that run outside our standard multi-tenant SaaS. That includes Grafana Federal Cloud , for organizations that need FedRAMP-authorized observability: US federal agencies; state, local, and education (SLED) customers; and commercial companies that sell FedRAMP offerings of their own. It also includes Grafana Cloud Bring Your Own Cloud (BYOC) , which delivers the full Grafana Cloud experience while the customer pays the infrastructure bill directly to their cloud provider, saving them significantly at scale. Your mission is to make Grafana Labs the obvious choice for organizations that can't use standard SaaS because of compliance, data, or cost-at-scale constraints. Deployment choices change the product: features that are simple in standard SaaS can be hard, expensive, or impossible in a regulated or customer-owned environment. You’ll be responsible for adapting existing Grafana Cloud capabilities to these environments, deciding which features come in, which wait, and which stay out, and occasionally building something specific to BYOC or Federal Cloud. You'll also help shape which deployment models we offer next. Along the way, you’ll use AI tools daily to speed up research, analyze product signals, and develop positioning, applying strong judgment to the results. As the Staff Product Manager for Enterprise Deployment Solutions, you will: Define the vision, strategy, and roadmap for the Grafana Bring Your Own Cloud and Grafana Federal Cloud products, using product data and market research to balance customer value against engineering cost and technical constraints Own positioning, messaging, and differentiation for these products, including how they compare to regular Grafana Cloud, and partner with Product Marketing on launches, competitive analysis, enablement, and demand programs Partner with Engineering and Technical Program Management on buildouts for these environments, balancing customer timelines with engineering capacity Work directly with customers, prospects, and the field on strategic deals and brief partners, resellers, and analysts on our deployment options Partner with Security, Compliance, and Legal to work through product changes affecting our authorization or existing customer commitments We’re excited about you because you have 5+ years of product management experience on a technical B2B product, or a technical background (software engineering, solutions architecture, SRE, or technical program management) plus a demonstrated move into product ownership Hands-on experience with a non-standard SaaS deployment model, such as self-managed, air-gapped, sovereign, BYOC, single-tenant, or FedRAMP/government cloud, and a firsthand understanding of how it changes the product, its operations, and its economics Experience with cloud infrastructure, platform software, or developer tools Clear product and go-to-market judgment: you've shaped what a product should be and how it's positioned and sold, not only when it ships Interest in working with US public sector customers and learning their needs and buying cycles. Deep compliance expertise isn't required. Experience leading across multiple teams without direct authority, with excellent written and verbal communication in a remote, globally distributed organization Bonus Points Experience selling to or building for US federal, state, or local government customers, or other highly regulated industries Familiarity with government or sovereign cloud frameworks, such as FedRAMP, StateRAMP/GovRAMP, BSI C5, or SecNumCloud, or with offerings such as AWS GovCloud, Azure Government, AWS European Sovereign Cloud, or GCP Sovereign Cloud Experience with pricing and packaging across deployment models Experience with observability, monitoring, or other data-intensive infrastructure products Experience working with resellers, systems integrators, or cloud marketplace partners Familiarity with open source software or commercial open source companies In Canada, the base compensation range for this role is CAD $211,450 - CAD $253,740 . 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: New York City, NY; New York City, NY | Seattle, WA; Remote-Friendly, United States; San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search. Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude. That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work. This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so you will work closely with product, design, privacy, legal and safeguards, and you will be expected to treat those constraints as part of good product design rather than obstacles to it. Key responsibilities Design, build and ship memory and search experiences in Claude.ai, Cowork and Claude Code, owning them end to end from the backend service through the model's tools to the user interface Run product experiments on the memory and search stack: form a hypothesis, build a demo, put it in front of real users, measure, and make a clear persevere-or-pivot call Shape how Claude uses memory and retrieval inside its agentic loop, including what the model stores, when it searches, how results are ranked and presented, and how the user stays in control Define and track the metrics that tell us whether memory is actually making Claude more useful, and build the evaluations that keep quality honest as the system evolves Improve search relevance and recall across conversations and memories, working across embeddings, hybrid retrieval and ranking as well as the interface that presents results Partner with product, design, privacy, legal and safeguards to ship features that respect user consent and enterprise requirements such as customer-managed encryption keys and data retention policies Raise the bar on product quality for the team through design reviews, code reviews and the standards you set for latency, polish and reliability Share the on-call for the systems you own Minimum qualifications Experience building and operating user-facing products used by a large number of people, including the backend services behind them Experience building agentic systems or LLM-powered products, including tool use, retrieval and prompt or context design Strong programming skills in Python and TypeScript, with experience across backend services and web front ends A track record of taking a product or feature from an idea to launch, and iterating on it based on usage data and user feedback Experience defining product metrics and running experiments to make decisions Strong product judgment: you notice when something feels off and you fix it, and you can explain why a design choice matters to users Strong written and verbal communication, with experience working closely with product managers, designers and non-engineering partners Interest in AI safety and Anthropic's mission Preferred qualifications Experience as a founder, early-stage engineer, or someone who has taken a product from zero to one Experience building search or retrieval systems: embeddings, vector search, hybrid lexical and semantic retrieval, or ranking Experience building evaluations for LLM or ML systems, or measuring the quality of retrieval and ranking Experience on consumer products with strong retention, or on personalization systems Experience shipping features that handle sensitive data or meet enterprise requirements such as customer-managed encryption keys, data residency or HIPAA Experience with latency-sensitive, performance-critical product work Experience mentoring engineers or setting technical direction for a team 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: $405,000 — $485,000 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: Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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 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: New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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 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: Mexico City, Cuauhtémoc, Mexico Working at Bitso We are a diverse team that takes pride in understanding the perspectives of others. We fully embrace working remotely and we are eager to act, improve and drive rapid progress inside and outside of our organization. To drive revolutionary changes in society and make crypto useful, we delight our customers with world-class products, deep care, and intentional empathy. Your Purpose As an Onboarding Operations Analyst, you will be responsible for supporting the customers registration and onboarding process within Bitso Business. You will actively manage the workflow for account registration, ensuring efficiency and compliance while contributing to strategic improvements that enhance scalability. Your insights will play a key role in enabling Bitso Business accounts to become fully operational. Collaborating cross-functionally, you will optimize workflows, streamline processes, and ensure the seamless execution of daily operations. Your role will be essential in identifying bottlenecks, improving system performance, and driving continuous enhancements across our platform. Also, you are going to be responsible to give support to customers with issues related with access to their accounts, 2FA reset, data updates and so on. Location Mexico City Reports To Business Operations Manager What You Will Do Review and process customer applications for Bitso Business accounts, ensuring all required documents are submitted and validated. Identify inefficiencies in the onboarding process and suggest improvements. Work with tech teams to automate manual processes for faster customer activation. Coordinate with KYB, Compliance, Legal, Fraud, and Tech teams to resolve onboarding issues. Ensure seamless communication between internal teams to accelerate approvals. Assist customers with onboarding-related questions and troubleshoot registration issues. Provide guidance on documentation requirements and eligibility criteria. Track key onboarding metrics such as approval rates, processing times, and bottlenecks. Provide insights to improve efficiency and enhance customer experience. Proactively identify areas for enhancement and contribute to operational strategies. Give support after the account onboarding, with issues related to the accounts access, the activation of new products, data updates… Qualifications 2+ years of experience in an Operations Analyst or similar role. Strong analytical skills and experience with ticket service tools (e.g., Jira, Zendesk). Ability to identify inefficiencies and propose effective solutions to improve processes. Experience tracking threads and customer requests via Slack or email Capability and great communications skills to manage support meetings with customers when necessary. Experience in working with cross-functional teams and managing multiple stakeholders. Knowledge of the cryptocurrency or fintech industry is a plus . Excellent organizational, communication, and time management skills. Ability to adapt in a fast-paced environment and work with evolving priorities. Who We Are With over 10 million users, Bitso is the leading cryptocurrency platform in Latin America. We are developing the cryptocurrency ecosystem in the region and enabling financial inclusion. We believe crypto is the future of finance, and we’re committed to making it useful by providing equal access to safe and intuitive financial products. We are here to make a lasting impact on our customer’s lives and we do so by embracing our core values: Be Human: we delight our customers through great products, deep care and true empathy. We are humble and we take pride in understanding the views of others to help us see the full picture. Drive Change: we're fearless pioneers committed to unlocking the crypto revolution for humanity. We move fast, take risks and work together to drive lasting impact. Choose Bold Honesty: we seek the truth, especially when it’s uncomfortable, in our teams, products and business reality because that will uncover where we need to focus. Be an Owner: our sense of urgency makes us have a bias towards action, where we prioritize exceptionally and are wise in allocating our time to ensure we always deliver creative and innovative results. Learn more about our culture and values . Compensation & Benefits At Bitso, you are taking the front seat on the edge of crypto innovation, creating the next generation of crypto-powered products. So for those willing to commit, adapt and pioneer the most important change of the century we offer: Me Time program , including unlimited paid time off. Employee Stock Option program. Extended Family Leave policy: all birthing parents, non-birthing parents and adopting parents are eligible for a 4-months leave. Premium health, dental and life Wellness platform. Want to leave an undoubtedly legacy with us? Fasten your seatbelt and join this spaceship, where you will find exponential growth and the opportunity to thrive!

Location: Limassol, Cyprus Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Junior Compliance & AML Officer to join our team to monitor and ensure compliance with all applicable laws, regulations, and standards. Join a high-caliber team and contribute to its success with your passion, hard work and positive attitude. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives such as Futures & Options. Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles, and several other locations worldwide. Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who thrive in an environment that supports growth, innovation, and excellence. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional development. Join the Tigers! What does the job look like? The Junior Compliance & AML Officer will have the opportunity to: Monitor the activities of the Company's, including websites, customer communications, live chats, marketing materials, and operational processes, to identify and address potential compliance issues. Maintain up-to-date knowledge of relevant regulatory requirements and provide practical compliance advice and guidance to internal departments. Support client onboarding by conducting Know Your Customer (KYC) checks, Anti-Money Laundering (AML) screening, due diligence, and risk assessments. Review and investigate alerts relating to potentially suspicious activity and escalate cases to the Anti-Money Laundering Compliance Officer (AMLCO), where appropriate. Assist in developing, reviewing, and maintaining internal compliance policies and procedures, including the Anti-Money Laundering (AML) Manual. Assist with regulatory enquiries and requests, internal audits, and ad hoc compliance reviews across the Group. Support the delivery of staff training and provide guidance on AML/CFT risks, obligations, and awareness. Provide ongoing day-to-day compliance support to internal stakeholders, ensuring a sound understanding of applicable regulatory obligations and best practices. Perform any other ad hoc compliance and AML-related duties as assigned by the Head of Compliance or Senior Management. What will you need to be able to do the job? Academic background in Law, Business, Finance, Economics, or a related field. At least one year of relevant professional experience is required. CySEC certification will be considered an advantage. Candidates who do not currently hold the relevant certification but demonstrate a strong willingness to learn and develop will be supported by the Company in obtaining the AML and/or Advanced CySEC certification. Strong work ethic, with the ability to take initiative, work proactively, and demonstrate a high level of responsibility. Fluency in both Greek and English, with excellent verbal and written communication skills. Excellent presentation skills and the ability to communicate information clearly and effectively. Ability to work independently while also contributing effectively as part of a team. By joining us, you can expect: Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance). Opportunities to learn and grow through our “Employee Training & Development program”. Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. Participation in our welfare investment and savings plan through our Provident Fund Scheme. Birthday and Loyalty benefits. Collaboration with SportBenefit. What to expect from our recruitment process: First interview with TA and Head of the Department Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis

Location: Colombia; Argentina; Brazil; Mexico; Peru; Venezuela, Bolivarian Republic of About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a Senior Meta Ads Specialist with 4–5+ years of hands-on experience managing and scaling high-performing Facebook and Instagram advertising campaigns. The ideal candidate is a data-driven performance marketer with a proven track record of managing substantial advertising budgets, optimizing campaigns for profitability, and driving measurable business growth. You should be highly skilled in Meta Ads Manager, audience targeting, creative testing, conversion tracking, and scaling strategies. This is an exciting opportunity to take ownership of paid social campaigns for a growing international business and make a direct impact on revenue and customer acquisition. Key Responsibilities Campaign Management: Plan, launch, manage, and optimize Meta advertising campaigns across Facebook and Instagram. Performance Optimization: Continuously improve ROAS, CPA, CPL, CTR, and conversion rates to maximize advertising profitability. Budget Management: Manage and scale significant monthly advertising budgets while maintaining strong performance. Creative Strategy: Collaborate with creative teams to develop high-converting ad creatives, messaging, and testing frameworks. Audience Targeting: Build and refine prospecting, retargeting, and lookalike audience strategies. Tracking & Attribution: Implement and troubleshoot Meta Pixel, Conversions API (CAPI), and conversion tracking. A/B Testing: Execute structured experiments across creatives, audiences, placements, and campaign strategies. Analytics & Reporting: Monitor performance, identify opportunities, and provide actionable insights and recommendations. Scaling Strategy: Develop and execute strategies to scale winning campaigns while maintaining efficiency. Cross-Functional Collaboration: Work closely with marketing, creative, and leadership teams to align paid media campaigns with business objectives. Requirements 4–5+ years of proven experience managing Meta Ads (Facebook and Instagram) campaigns. Demonstrated success in scaling paid social campaigns and delivering measurable ROI. Advanced proficiency in Meta Ads Manager and Meta Business Suite. Strong understanding of campaign structures, bidding strategies, audience segmentation, and conversion optimization. Experience managing substantial advertising budgets with clear performance accountability. Strong knowledge of Meta Pixel, Conversions API, attribution models, and event tracking. Experience developing creative testing strategies and identifying winning ad concepts. Strong analytical skills with the ability to interpret campaign data and make informed optimization decisions. Familiarity with Google Analytics 4 (GA4), Google Tag Manager, and reporting dashboards. Excellent English communication skills, both written and verbal. Ability to work independently, take ownership of results, and thrive in a fast-paced remote environment. Nice to Have Experience managing Meta Ads for eCommerce, DTC brands, lead generation businesses, or digital marketing agencies. Experience with Shopify, landing page optimization, and conversion rate optimization (CRO). Familiarity with third-party attribution platforms such as Triple Whale, Hyros, or Northbeam. Experience managing six-figure monthly advertising budgets. Meta Blueprint certifications. Experience mentoring junior media buyers or leading paid social strategy. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Bulgaria; Montenegro; Kosovo; Bosnia and Herzegovina; North Macedonia; Slovenia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a Senior Meta Ads Specialist with 4–5+ years of hands-on experience managing, optimizing, and scaling high-performing Facebook and Instagram advertising campaigns. The ideal candidate is a data-driven performance marketer with a proven track record of managing substantial advertising budgets, generating measurable ROI, and developing paid social strategies that drive customer acquisition and revenue growth. You should be confident taking full ownership of Meta advertising accounts, analyzing campaign performance, testing creative strategies, and scaling successful campaigns while maintaining profitability. Key Responsibilities C ampaign Strategy & Execution: Plan, launch, manage, and optimize Meta Ads campaigns across Facebook and Instagram. Budget Management: Manage and strategically allocate advertising budgets to maximize ROAS and minimize customer acquisition costs. Campaign Optimization: Continuously optimize campaigns based on CPA, CPL, CTR, CPC, conversion rates, and ROAS. Audience Targeting: Develop and test prospecting, retargeting, lookalike audience, and broad targeting strategies. Creative Testing: Collaborate with creative teams to develop, test, and refine high-converting ad creatives, copy, and messaging. Tracking & Attribution: Implement and troubleshoot Meta Pixel, Conversions API (CAPI), and conversion tracking. Performance Reporting: Build and present detailed performance reports with actionable insights and recommendations. Scaling Campaigns: Identify winning campaigns and scale advertising spend efficiently without compromising profitability. Funnel Optimization: Analyze landing pages, conversion funnels, and customer journeys to improve overall campaign performance. Platform Expertise: Stay updated on Meta advertising algorithm changes, platform updates, and paid social best practices. Requirements 4–5+ years of proven experience managing Meta Ads (Facebook and Instagram) campaigns. Demonstrated success in scaling paid social campaigns and delivering strong ROI/ROAS. Advanced proficiency with Meta Ads Manager, Meta Business Suite, and Events Manager. Strong understanding of campaign structures, audience segmentation, bidding strategies, and budget optimization. Hands-on experience managing significant monthly advertising budgets. Expertise in Meta Pixel, Conversions API, conversion tracking, and attribution. Proven ability to develop and execute structured A/B testing strategies. Strong analytical skills and experience using GA4, Looker Studio, or similar reporting tools. Experience working with e-commerce brands, lead generation businesses, or digital marketing agencies. Excellent written and verbal English communication skills. Ability to work independently, manage multiple campaigns, and deliver results in a fast-paced remote environment. A strong portfolio or case studies demonstrating measurable campaign performance and successful scaling. Nice to Have Experience with Shopify, WooCommerce, or other e-commerce platforms. Familiarity with Google Ads, TikTok Ads, or other paid acquisition channels. Experience managing multiple client advertising accounts simultaneously. Knowledge of landing page optimization, CRO, and marketing automation. Previous experience working with UK, US, or international clients. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Albania; Bosnia and Herzegovina; Slovenia; Kosovo; Croatia; Bulgaria About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a results-driven Meta Ads Specialist with 2–3+ years of hands-on experience managing and optimizing paid advertising campaigns across Facebook and Instagram. The ideal candidate has a strong understanding of Meta Ads Manager, audience targeting, creative testing, conversion tracking, and performance optimization. You should be comfortable managing advertising budgets, analyzing campaign performance, and implementing data-driven strategies to maximize return on ad spend (ROAS). This is an excellent opportunity for a performance marketer looking to take ownership of paid social campaigns and drive measurable business growth. Key Responsibilities Plan, launch, manage, and optimize Facebook and Instagram advertising campaigns using Meta Ads Manager. Develop and execute paid social strategies focused on lead generation, conversions, customer acquisition, and revenue growth. Monitor and optimize key performance metrics, including ROAS, CPA, CPL, CTR, CPC, and conversion rates. Conduct audience research, build custom and lookalike audiences, and implement retargeting strategies. Perform A/B testing across ad creatives, copy, audiences, placements, and campaign structures. Collaborate with creative teams to develop high-performing ad content. Manage campaign budgets effectively and identify opportunities to scale successful campaigns. Implement and troubleshoot Meta Pixel, Conversion API (CAPI), and conversion tracking. Prepare regular performance reports and provide actionable recommendations to improve results. Stay updated on Meta advertising platform changes, best practices, and emerging paid social trends. Requirements 2–3+ years of proven experience managing Meta (Facebook and Instagram) advertising campaigns. Strong proficiency in Meta Ads Manager and Meta Business Suite. Demonstrated experience running conversion-focused and/or lead generation campaigns. Solid understanding of campaign structures, audience segmentation, bidding strategies, and budget optimization. Experience with Meta Pixel, conversion tracking, and retargeting campaigns. Ability to analyze advertising data and make informed optimization decisions. Experience with A/B testing and creative performance analysis. Familiarity with Google Analytics 4 (GA4) and reporting tools. Strong analytical, problem-solving, and communication skills. Excellent written and spoken English. Ability to work independently in a remote environment and collaborate with international teams. Nice to Have Experience managing Meta Ads for eCommerce, SaaS, lead generation, or agency clients. Familiarity with Shopify, WordPress, or landing page builders. Experience with Google Tag Manager and Conversion API integrations. Experience managing multiple advertising accounts or substantial monthly ad budgets. Knowledge of funnel optimization and conversion rate optimization (CRO). Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Argentina; Colombia; Mexico; Brazil; Costa Rica; Chile About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a results-driven Meta Ads Specialist with 2–3+ years of hands-on experience managing and optimizing paid advertising campaigns across Facebook and Instagram. In this role, you'll take ownership of Meta advertising campaigns, from strategy and setup to optimization, reporting, and scaling. You'll work closely with marketing and creative teams to drive measurable results, improve return on ad spend (ROAS), and generate high-quality leads or conversions. This is an excellent opportunity for a performance marketer who enjoys testing new strategies, analyzing data, and scaling successful campaigns. Key Responsibilities Plan, launch, manage, and optimize paid advertising campaigns across Facebook and Instagram using Meta Ads Manager. Develop and execute performance marketing strategies focused on lead generation, customer acquisition, and conversions. Monitor and optimize key performance metrics, including ROAS, CPA, CPL, CTR, CPC, and conversion rates. Conduct A/B testing across ad creatives, copy, audiences, placements, and campaign structures. Manage campaign budgets effectively and scale high-performing campaigns. Implement and troubleshoot Meta Pixel, Conversions API (CAPI), and conversion tracking. Collaborate with creative and marketing teams to develop high-converting ad creatives and messaging. Analyze campaign performance and provide actionable insights and recommendations. Create regular performance reports highlighting results, opportunities, and areas for improvement. Stay up to date with Meta advertising platform changes, trends, and best practices. Requirements 2–3+ years of hands-on experience managing Meta Ads (Facebook and Instagram) campaigns. Proven experience running and optimizing conversion-focused paid advertising campaigns. Strong understanding of Meta Ads Manager, Business Manager, and campaign structures. Experience managing advertising budgets and improving campaign performance. Solid knowledge of audience targeting, retargeting, lookalike audiences, and campaign optimization. Experience with Meta Pixel, conversion tracking, and attribution. Strong analytical skills and ability to interpret advertising performance data. Experience with A/B testing, creative testing, and campaign scaling. Familiarity with Google Analytics (GA4), Google Tag Manager, or other analytics tools. Excellent English communication skills, both written and verbal. Ability to work independently, manage multiple campaigns, and meet deadlines in a remote environment. Nice to Have Experience managing Meta Ads for eCommerce, SaaS, lead generation, or digital agencies. Experience with Shopify, landing page builders, or CRM platforms. Familiarity with creative strategy and direct-response copywriting. Experience working with international clients, particularly in the UK, US, or Australian markets. Meta Blueprint certifications or other relevant digital marketing qualifications. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Dubai, United Arab Emirates; Doha, Qatar; Muscat, Oman; Riyadh, Saudi Arabia; Abu Dhabi, United Arab Emirates; Ras Al-Khaimah, United Arab Emirates Apt Resources is currently recruiting enthusiastic and dedicated individuals for the position of Waiter/Waitress at an upmarket casual dining restaurant. This vibrant establishment is known for its exceptional service, inviting atmosphere, and a menu that showcases innovative dishes made from high-quality ingredients. As a Waiter/Waitress, you will be responsible for providing a delightful dining experience for our guests. You will greet customers, take their orders, serve food and beverages, and ensure that their needs are met throughout their visit. Your role is critical in creating a warm and welcoming environment, ensuring that every guest leaves with a memorable experience. Responsibilities Welcome and greet guests promptly upon arrival Present menus and provide detailed information about menu items, specials, and recommendations Take accurate food and drink orders using the restaurant's ordering system Serve orders promptly and monitor guest satisfaction throughout the meal Prepare tables by setting up linens, utensils, and glassware Collaborate with kitchen staff to ensure timely and accurate delivery of meals Address customer inquiries or concerns with professionalism and positivity Maintain cleanliness and organization of dining areas Process payments accurately and efficiently Upsell menu items and promote special offers when appropriate Requirements Proven experience as a Waiter/Waitress in a casual dining environment, preferably in an upmarket setting Excellent customer service skills and a friendly, approachable demeanor Strong communication skills and the ability to work well in a team Knowledge of food and beverage menus and pairing options Ability to multitask and manage time effectively in a fast-paced environment Attention to detail and commitment to maintaining high service standards Availability to work flexible hours, including evenings and weekends High school diploma or equivalent; relevant training or certifications are a plus Benefits The salary is AED 1700 - 2400 + AED 400 Food allowance + AED 250 to 450 (Service charge Avg) +AED 1200 Credit card tips + Cash tips + free Accommodation + Transport + uniforms + Health insurance + air ticket ( once every two years) + Paid leave as per UAE laws

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate. We are looking for a Community Engagement Manager in Indiana and Kentucky to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations. You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand. You will travel regularly within Indiana and Kentucky, up to 50% of the time, and occasionally to other Anthropic data center markets. Key responsibilities Build and maintain trusted, sustained relationships with county commissioners and councils, Kentucky fiscal courts and judge-executives, mayors and city councils, plan commissions and zoning boards, state and regional economic development organizations, community groups, civic leaders, educational institutions, and workforce partners in the Indiana and Kentucky data center markets you cover Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate Represent Anthropic in public forums, town halls, planning hearings, community events, and local media Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced Work with the Communications team to develop proactive, locally relevant messaging Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, and land use, including how large electricity needs are served by local utilities and rural electric cooperatives Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows Minimum qualifications Experience in community affairs, public affairs, economic development, government relations, local or state government, or a closely related field Direct experience working for or engaging with county and municipal governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations The ability to represent a company credibly in public settings, including town halls, hearings, and press interviews Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them Based in Indiana or Kentucky or willing to relocate to one of them, and prepared to travel regularly across both states Preferred qualifications 7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government Familiarity with land use, zoning, and permitting processes at the county and municipal level in Indiana and/or Kentucky, including local tax abatement and incentive approvals Experience managing corporate social responsibility programs Established relationships with economic development, workforce, or civic organizations in the markets this role covers Experience working with real estate, legal, communications, and policy teams at the same time A genuine interest in the communities where you work, not just the projects you are managing 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 — $295,000 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: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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 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.

This leader owns customer enablement across Alloy. It is a role that builds and runs the program behind enablement: capturing knowledge continuously, packaging it for the right audience at the right moment, running hands-on customer training sessions, and measuring what works.

Location: Atlanta Workplace: Remote About the role We are looking for an Enterprise Account Executive in the Southeast territory to join our team and own the end to end sales process for all prospects and customers. As a Cybersecurity Account Executive at Cyberhaven, you are expected to have a go getter attitude and be a true brand ambassador driving many activities from prospecting and pitching to closing and negotiating deals.   What you’ll do - Establish professional productive relationships with new and existing assigned accounts. - Qualify, manage and support leads from marketing campaigns and sales opportunities, and progress opportunities through the Cyberhaven sales process. - Build a local franchise to own the market in your territory thru trusted partner relationships and strategic alliances. - Continuously build new pipeline and exceed assigned software and services growth goals. - Proactively seek new business opportunities in the market, as well as upsell and cross-sell of existing clients. - Contact potential clients through cold calls and emails, and present Cyberhaven’s unique DDR solution. - Identify client needs and suggest appropriate products and services. - Proactively plan, set critical milestones, assess, clarify and validate partners needs on an ongoing basis, to establish productive relationships. - Stay up-to-date with new products, services and pricing models. - Build long-term trusted relationships with clients and partners. Who you are - 8+ years industry experience selling Cybersecurity software in Southeast required; DLP strongly preferred. - True enterprise experience closing multiple $250,000 to $1,000,000 deals - Competitive, Self-starter, willing to work hard and own results. - Willing to ask questions, have a strong work ethic, are persistent, and coachable. - Lifelong learner – We approach our work with curiosity and an open mind, never settling for good enough. - You run towards challenges and will find a solution for the unsolvable. - High energy – We love what we do and bring our best selves to work each day. We seek to share our optimism and compassion with everyone around us. - Ability to understand technical concepts, possess enthusiasm for technology, and to articulate clearly to all levels of technical aptitude. - Ability to adapt quickly to a fast-paced environment. - Located in greater Atlanta Area   Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.