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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. 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: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity: Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise. The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculations, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts. This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana Cloud scales. We are looking for engineers who enjoy solving complex workflow and systems problems, improving reliability and developer experience, and building software that directly supports both customers and internal stakeholders. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineers at Grafana Labs also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope. What You’ll Be Doing: The Usage squad owns the essential systems driving Grafana's business operations and customer usage calculations. Our domain encompasses maintaining the billing engine responsible for customer usage calculation, cost management and billing applications, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the customer user portal. Our work sits at the intersection of product, platform, and business operations. We build full-stack web applications, customer portals, backend services, APIs, and data integrations across internal Grafana platforms and third-party systems like NetSuite and Salesforce. When this domain works well, customers get clear usage visibility, reliable billing, and seamless account management workflows. This role is about 75% FrontEnd and 25% BackEnd. Design, build, operate, and evolve reliable full-stack web applications, customer-facing account portals, and backend services that power core customer usage and billing workflows Build and maintain backend APIs (Golang, Node.js) and intuitive user interfaces using modern frontend technologies (TypeScript, React) Design and maintain integrations between Grafana systems and external business platforms such as NetSuite, Salesforce, and cloud marketplaces (AWS, Azure, GCP) Develop and automate business logic for customer usage metering, pricing structures, promotions, and billing reconciliation Collaborate across product management, DealOps, GTM, Support, and adjacent AppCore squads to deliver robust end-to-end features Address technical debt, optimize CI/CD pipelines, strengthen test coverage, and improve system observability and operational resilience Provide technical leadership and mentorship to engineers while shaping pragmatic solutions for complex systems challenges Contribute to roadmap planning, technical design, OnCall improvements, and long-term simplification of stack operations You will help own the production behavior of the systems you build. That includes improving runbooks, dashboards, alerts, reconciliation safety, rollout controls, and recovery procedures. You should be comfortable debugging across service boundaries and making careful changes in systems that affect customer stacks What Makes You a Great Fit: At Grafana, we actively embrace AI-assisted and agentic development practices, integrating these technologies into both our engineering workflows and the systems we deliver. We encourage our engineers to thoughtfully leverage AI tools to enhance every stage of the lifecycle, from design and implementation to testing, documentation, and operations. We also look for strategic opportunities to embed agentic capabilities within our services to eliminate toil, bolster reliability, and ensure that complex customer workflows remain resilient and safe. We are seeking a Staff FullStack Engineer who thrives on building production systems where correctness, scalability, and user experience are paramount. As a remote-first organization, you should be comfortable collaborating asynchronously across time zones and taking full ownership of the critical systems powering Grafana Cloud. Our team is small and operates with a high degree of independence; you will be expected to lead major projects, coordinate across service boundaries, and help define the technical direction for our domain. You will be particularly successful in this role if you enjoy solving challenges related to stateful systems, eventual consistency, and reconciliation loops. We value engineers who can take ambiguous lifecycle requirements and transform them into explicit, modular solutions. You should be adept at breaking down complex systems work into safe, iterative increments while clearly communicating technical tradeoffs to both internal stakeholders and adjacent product teams. Some things you might be expected to do could include: Writing efficient, readable, and easy to maintain code Designing new microservices or systems Collaborating with teammates and other departments to reach consensus on proposed solutions Coordinating with product and UX when needed Responding to customer requests and feedback When ready, participating in our follow-the-sun OnCall rotation Participating in team decisions, such as roadmap planning and prioritization Requirements: You have at least 1 year of fully remote work experience You have worked on a big SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …) Strong professional experience with backend technologies (Golang, Node.js) as well as modern frontend web development (TypeScript, React) Care deeply about developer and user experience and the quality of the products that you work on Have some experience with delivering projects from gathering requirements, and brainstorming ideas to shipping a product to the customer’s hands in a self-driven way You write clean, robust, well-tested software that other engineers can understand, operate, and maintain Have experience with mentoring junior engineers in a collaborative but asynchronous environment Can take on complex challenges and break them down to achieve tight learning loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback, and then progress iteratively You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.) Bonus Points For: Experience with high-volume usage metering, billing engines, or customer-facing cost management applications Experience designing, building, and maintaining integrations with third-party business systems (e.g., NetSuite, Salesforce, Cloud Marketplaces) Experience with frontend component libraries, design systems, and modern CSS-in-JS tooling Familiarity with cloud marketplace integrations (AWS, Azure, GCP) and SaaS provisioning/tenancy patterns Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems Experience with incident response involving configuration drift, partial failure, or cross-service state mismatch In the United States, the compensation range for this role is $174,986 - $209,983 USD.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity: Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise. The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculations, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts. This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana Cloud scales. We are looking for engineers who enjoy solving complex workflow and systems problems, improving reliability and developer experience, and building software that directly supports both customers and internal stakeholders. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineers at Grafana Labs also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope. What You’ll Be Doing: The Usage squad owns the essential systems driving Grafana's business operations and customer usage calculations. Our domain encompasses maintaining the billing engine responsible for customer usage calculation, cost management and billing applications, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the customer user portal. Our work sits at the intersection of product, platform, and business operations. We build full-stack web applications, customer portals, backend services, APIs, and data integrations across internal Grafana platforms and third-party systems like NetSuite and Salesforce. When this domain works well, customers get clear usage visibility, reliable billing, and seamless account management workflows. This role is about 75% FrontEnd and 25% BackEnd. Design, build, operate, and evolve reliable full-stack web applications, customer-facing account portals, and backend services that power core customer usage and billing workflows Build and maintain backend APIs (Golang, Node.js) and intuitive user interfaces using modern frontend technologies (TypeScript, React) Design and maintain integrations between Grafana systems and external business platforms such as NetSuite, Salesforce, and cloud marketplaces (AWS, Azure, GCP) Develop and automate business logic for customer usage metering, pricing structures, promotions, and billing reconciliation Collaborate across product management, DealOps, GTM, Support, and adjacent AppCore squads to deliver robust end-to-end features Address technical debt, optimize CI/CD pipelines, strengthen test coverage, and improve system observability and operational resilience Provide technical leadership and mentorship to engineers while shaping pragmatic solutions for complex systems challenges Contribute to roadmap planning, technical design, OnCall improvements, and long-term simplification of stack operations You will help own the production behavior of the systems you build. That includes improving runbooks, dashboards, alerts, reconciliation safety, rollout controls, and recovery procedures. You should be comfortable debugging across service boundaries and making careful changes in systems that affect customer stacks What Makes You a Great Fit: At Grafana, we actively embrace AI-assisted and agentic development practices, integrating these technologies into both our engineering workflows and the systems we deliver. We encourage our engineers to thoughtfully leverage AI tools to enhance every stage of the lifecycle, from design and implementation to testing, documentation, and operations. We also look for strategic opportunities to embed agentic capabilities within our services to eliminate toil, bolster reliability, and ensure that complex customer workflows remain resilient and safe. We are seeking a Staff FullStack Engineer who thrives on building production systems where correctness, scalability, and user experience are paramount. As a remote-first organization, you should be comfortable collaborating asynchronously across time zones and taking full ownership of the critical systems powering Grafana Cloud. Our team is small and operates with a high degree of independence; you will be expected to lead major projects, coordinate across service boundaries, and help define the technical direction for our domain. You will be particularly successful in this role if you enjoy solving challenges related to stateful systems, eventual consistency, and reconciliation loops. We value engineers who can take ambiguous lifecycle requirements and transform them into explicit, modular solutions. You should be adept at breaking down complex systems work into safe, iterative increments while clearly communicating technical tradeoffs to both internal stakeholders and adjacent product teams. Some things you might be expected to do could include: Writing efficient, readable, and easy to maintain code Designing new microservices or systems Collaborating with teammates and other departments to reach consensus on proposed solutions Coordinating with product and UX when needed Responding to customer requests and feedback When ready, participating in our follow-the-sun OnCall rotation Participating in team decisions, such as roadmap planning and prioritization Requirements: You have at least 1 year of fully remote work experience You have worked on a big SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …) Strong professional experience with backend technologies (Golang, Node.js) as well as modern frontend web development (TypeScript, React) Care deeply about developer and user experience and the quality of the products that you work on Have some experience with delivering projects from gathering requirements, and brainstorming ideas to shipping a product to the customer’s hands in a self-driven way You write clean, robust, well-tested software that other engineers can understand, operate, and maintain Have experience with mentoring junior engineers in a collaborative but asynchronous environment Can take on complex challenges and break them down to achieve tight learning loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback, and then progress iteratively You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.) Bonus Points For: Experience with high-volume usage metering, billing engines, or customer-facing cost management applications Experience designing, building, and maintaining integrations with third-party business systems (e.g., NetSuite, Salesforce, Cloud Marketplaces) Experience with frontend component libraries, design systems, and modern CSS-in-JS tooling Familiarity with cloud marketplace integrations (AWS, Azure, GCP) and SaaS provisioning/tenancy patterns Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems Experience with incident response involving configuration drift, partial failure, or cross-service state mismatch In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Indianapolis, United States; Ohio City, United States; Chicago, United States About us: Shape the Future with AI, Ignite Your Potential Xenon7 is an inferno where skill, dedication and passion run together. About our client: Global healthcare leader headquartered in Indianapolis, Indiana. The Cardiometabolic Research (CMR) Therapeutic Area of our client, focuses on the discovery of biologic, small molecule and genetic therapeutics for the treatment of cardiometabolic diseases and associated complications. The Cloud and Connectivity organization is seeking an engineer in HPC platforms. This role will focus on enabling analytical, statistical, and scientific computing capabilities within high performance computing infrastructure. We are looking for an HPC Platform Engineer to help accelerate the next era of high performance computing innovation. What You’ll Be Doing You will be a leader the engineering and operations of design, build, and maintain scalable HPC platforms. You will play a crucial role in enabling HPC infrastructure and experiences. Collaborate with researchers and scientists to optimize performance and streamline workflows. Leverage tooling and automation for orchestration, resource scheduling, data access, and reproducibility. Evolve and operate public cloud and on-premises environments with a focus on availability and performance for HPC workloads. Define and monitor infrastructure metrics, resource utilization, among others. How You’ll Succeed Be Bold - You will bring a high learning agility and platform engineering skills to enable the Technology strategy, identifying opportunities to accelerate our HPC journey. Be Fast - You will advance initiatives to enable critical business projects. Be Proactive - You will have opportunities to leverage agile ways of working with a willingness to become an expert in deploying HPC solutions. Be Your Best - You will learn about new technologies in HPC. Requirements What You Should Bring Hands-on experience in HPC platforms, including knowledge of accelerators (e.g., GPU), HPC schedulers (e.g., Altair Grid Engine, Slurm), Kubernetes platforms, and containers technologies (Docker, Apptainer). Demonstrated experience in HPC workloads, infrastructure, and cluster architectures. Expertise with the Linux command line, Linux troubleshooting, and HPC administration. Experience with DevOps tools such as Github, Chef, Ansible, Terraform. Experience with automating infrastructure and applications. Passion for continual learning and staying informed of new technologies, infrastructure trends, and approaches in the HPC field. Strong programming and scripting skills in languages such as Python or Bash. Basic Requirements Bachelor’s degree in computer science, Information Technology, or related technical field. 5+ years’ experience HPC Platform Engineer. Demonstrated experience leading a global large-scale infrastructure project. Benefits Attractive, market-leading salary package. Clear career advancement path with professional development opportunities.

Location: Dhahran, Saudi Arabia We are seeking an experienced Enterprise Architect to define, develop, and govern the enterprise architecture strategy, frameworks, standards, and roadmaps, ensuring alignment between business objectives, technology capabilities, and organizational priorities. The role will drive enterprise-wide architecture across computing and cloud platforms, communications and network infrastructure, data and artificial intelligence, cybersecurity, and business architecture. The successful candidate will provide architectural leadership, establish target-state architectures and reference designs, and ensure that enterprise solutions are scalable, secure, resilient, compliant, and aligned with the organization’s strategic goals. Key Responsibilities Define and maintain enterprise architecture frameworks, principles, standards, reference architectures, and technology roadmaps aligned with business strategy. Lead the design and evolution of enterprise technology architectures covering on-premises infrastructure, private and public cloud, high-performance computing (HPC), AI infrastructure, and enterprise platforms. Develop communications architecture across data networks, transmission networks, and satellite communications. Establish enterprise data architecture and governance frameworks, enabling trusted analytics, artificial intelligence, machine learning, and MLOps capabilities. Define and govern cybersecurity architecture to ensure the protection of enterprise systems, infrastructure, applications, and data in accordance with applicable security controls and standards. Translate business strategy, operating models, and business processes into architecture artifacts that support enterprise transformation and technology alignment. Provide architectural assurance and governance for major programs, projects, and technology solutions, ensuring compliance with approved standards and design principles. Identify technology opportunities, assess emerging technologies, and recommend solutions that enhance operational efficiency, scalability, resilience, security, and business value. Collaborate with business stakeholders, technology teams, cybersecurity specialists, and program leaders to ensure cohesive, integrated enterprise solutions. Maintain architecture documentation, identify capability gaps, and develop transition roadmaps to support the organization’s target-state architecture. Qualifications and Experience Bachelor’s degree in Computer Engineering, Computer Science, Business Management, or a related discipline; a Master’s degree is preferred. 10 to 15+ years of relevant professional experience in enterprise architecture, technology architecture, infrastructure, communications, data and AI, cybersecurity, or business architecture. Demonstrated experience developing enterprise architecture strategies, target-state designs, standards, governance frameworks, and implementation roadmaps. Strong understanding of enterprise technology environments, business capabilities, architecture governance, and technology-to-business alignment. Proven ability to lead cross-functional architecture initiatives and engage effectively with senior stakeholders. Excellent analytical, strategic planning, communication, and stakeholder management skills.

Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists An agent needs more than a model response to complete useful work. It needs tools, durable execution, permissions, context, and a way to recover when something fails. You'll build the backend that lets Higgsfield agents carry creative tasks from a user's request to a finished result. We're looking for an engineer we can trust with a problem: work out what is worth building, build it, and carry it through to users. What you'll actually do - Agent execution: build orchestration for multi-step tasks, tool calls, streaming updates, and cancellation. - Durable workflows: implement checkpoints, resumability, retries, and recovery without duplicating actions. - Tools and integrations: connect agents to generation, editing, and external services through clear, validated interfaces. - Execution boundaries: enforce user permissions, tenant isolation, resource limits, and approval requirements for consequential actions. - Evaluation and observability: trace failures, build regression cases, and improve task completion, latency, and cost. - Ownership: understand a real user task → define success and build evaluation cases → scope the simplest useful workflow → ship → measure completion, reliability, and dollar impact → improve from failed runs. Our release cycle is days, not quarters, so your first shipped agent capability happens fast. Must-haves 1. You've taken a difficult problem from an unclear starting point to a working system used in production, and can explain your own decisions, contribution, and results. 2. You can build reliable agent execution: state machines, concurrency, queues, recovery, model APIs, secure tool calls, and repeatable evaluations. You learn unfamiliar tools quickly and understand what you ship. 3. You choose the next steps, remove blockers, and ask for help when needed. You cut scope to test an idea, adapt from evidence, and keep working through difficult problems. 4. You investigate real user tasks and failed agent runs, use feedback to choose what to automate, and stop workflows that do not help users finish their work. 5. You take feedback, change your mind when the evidence changes, and do the work the team needs. You share knowledge and responsibility so others can operate and extend what you build. Who this is not for - You prefer deterministic application behavior without investigating model uncertainty. - You prefer prototyping without owning evaluation, recovery, and production reliability. Nice to have - Production agents, workflow engines, or developer tools. - High-throughput systems with heavy traffic, large data volumes, or many long-running jobs. - Agent context management, memory, subagents, or parallel tool calls. - Sandboxed execution and scoped authorization. - Multimodal workflows involving images, video, or audio. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: scope a useful tool-using workflow, evaluate failures, and explain when user feedback would lead you to change or stop it. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of systems that turn AI capabilities into completed creative work.

📚 Texnologiya: React, Typescript, State Management (Redux, Zustand), Tanstack Query, Tailwindcss, UI Libs, Git.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. As a Manager, Customer Success , you will lead a North America-based team that helps customers realize value from GitLab through strong adoption, measurable outcomes, and trusted partnership. You will partner closely with both executive sponsors and day-to-day end users/practitioners to drive adoption and measurable outcomes. Reporting to the Director of Customer Success, , you will coach Customer Success Managers and Customer Success Architects to support account health across onboarding, adoption stages, executive business reviews, and renewals, while also improving how the team works. This is a people leadership role with broad scope: you will develop talent, strengthen customer relationships, and partner across Sales, Product, Engineering, and other teams so customers are supported through growth, change, and escalation. What you'll do Lead a team of Customer Success Managers and Customer Success Architects focused on customer adoption, account health, customer satisfaction, and advocacy. Coach team members through regular feedback, development support, and career growth conversations to strengthen knowledge, communication, and execution. Partner with the Director of Customer Success to define team goals, clarify responsibilities, and align priorities with company direction. Manage resource assignments, staffing levels, and hiring activity to support team coverage and customer needs. Develop senior-level relationships with customers and support the team in building trusted advisor partnerships. Collaborate with Sales, Product Management, Engineering, Professional Services, and other internal teams to create a consistent customer experience. Support customers during escalations by working with other leaders to coordinate clear, effective responses. Improve the processes and tools used by the team and oversee initiatives tied to objectives and key results. What you'll bring Experience leading customer-facing teams in software, technology, consulting, sales, or customer success environments. Ability to guide teams that drive software adoption and manage customer relationships across onboarding, adoption, business reviews, and renewals. Knowledge of software development lifecycle practices, related tools, and agile or DevOps ways of working. Familiarity with cloud or container technologies such as Kubernetes and Docker, application security concepts such as static application security testing (SAST) and dynamic application security testing (DAST), or cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Skill in translating strategy into clear initiatives, coordinating execution, and tracking delivery across competing priorities. Capability to lead distributed teams across regions, cultures, and lines of business, while working effectively with senior executives and external stakeholders. Willingness to travel occasionally for customer meetings and team events, as needed. Strength in communication, coaching, feedback, delegation, planning, and process improvement. Warmth and care in your leadership approach—able to coach with empathy and build trust on a human level. Interest in candidates with transferable experience who can connect technical concepts to business value and collaborate well across functions. About the team On the Customer Success team, we are accountable for customer adoption, measurable outcomes, customer satisfaction, and building customer advocacy across GitLab. We also act as a key connection point between customers and the broader GitLab ecosystem, helping streamline collaboration with Product Management, Engineering, Sales, Professional Services, and other partners. In this role, you will manage a team in North America while collaborating asynchronously with stakeholders across regions, with a focus on helping customers succeed at scale and improving how the organization supports them. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: United States; Charlotte; Chicago; Seattle; Austin; Atlanta; New York; Boston; San Francisco Workplace: Remote ClickHouse Cloud, the fully managed version of the open source ClickHouse database, is available on AWS, GCP, and Azure. Customers can purchase directly from ClickHouse or through the cloud marketplaces. Billing is how every ClickHouse product reaches customers and shows up in our financials. As we add new products and new ways to buy, we are investing in our billing platform to scale with them. As Senior Product Manager for Billing and Marketplaces, you will own a key area of that work and report to the Director of Product Management, Billing and Marketplaces. YOU WILL: - Own the roadmap, execution, and launches for a key area of billing or marketplaces (for example metering and pricing, prepaid commit, or a cloud marketplace), working alongside engineering leads, Finance, and Sales Ops. - Scope features with engineering, turn them into a clear near-term roadmap, and track them through to launch. - Improve our prepaid commit capabilities, including customer-specific rate cards, contract changes and rollovers, customer-facing balance visibility, and spend alerts. - Drive our cloud marketplace integrations across AWS, GCP, and Azure, including private offers, usage reporting, and subscription linking. - Improve payment and collections flows, including dunning and delinquency handling, so customers are billed accurately and service is not interrupted by avoidable billing issues. - Lead billing launches for new products and pricing models in partnership with Product Marketing, Sales, and Support. - Serve as a subject matter expert on how customers are billed across the company. YOU BRING: - 7+ years of product management experience, including 3+ years owning billing, metering, payments, or commercial platforms for a cloud or usage-based product. - Solid understanding of usage-based pricing, prepaid credits, and committed spend contracts, and how they translate into systems, invoices, and revenue. - Hands-on experience with AWS, GCP, or Azure marketplaces, including private offers, co-sell, and metering APIs. - Familiarity with payments across card, invoice, and marketplace channels, including dunning and delinquency flows. - Working knowledge of order-to-cash, including invoicing, tax, multi-currency, and revenue recognition. - Experience with third-party billing and payment platforms, such as Stripe or a usage-based billing vendor. - A track record of independently leading complex projects across engineering, Finance, and go-to-market teams, from scoping through launch. - Strong written and verbal communication, including presenting trade-offs to product and engineering leadership and explaining billing concepts to non-technical audiences. BONUS POINTS: - Experience at an infrastructure, database, or developer platform company. - Comfortable going deep with engineers on event-driven architectures, data pipelines, and idempotency, and fluent enough in SQL to analyze billing data yourself. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Europe; Portugal; France; United Kingdom; Italy; Israel; The Netherlands Workplace: Hybrid ClickHouse Cloud, the fully managed version of the open source ClickHouse database, is available on AWS, GCP, and Azure. Customers can purchase directly from ClickHouse or through the cloud marketplaces. Billing is how every ClickHouse product reaches customers and shows up in our financials. As we add new products and new ways to buy, we are investing in our billing platform to scale with them. As Senior Product Manager for Billing and Marketplaces, you will own a key area of that work and report to the Director of Product Management, Billing and Marketplaces. YOU WILL: - Own the roadmap, execution, and launches for a key area of billing or marketplaces (for example metering and pricing, prepaid commit, or a cloud marketplace), working alongside engineering leads, Finance, and Sales Ops. - Scope features with engineering, turn them into a clear near-term roadmap, and track them through to launch. - Improve our prepaid commit capabilities, including customer-specific rate cards, contract changes and rollovers, customer-facing balance visibility, and spend alerts. - Drive our cloud marketplace integrations across AWS, GCP, and Azure, including private offers, usage reporting, and subscription linking. - Improve payment and collections flows, including dunning and delinquency handling, so customers are billed accurately and service is not interrupted by avoidable billing issues. - Lead billing launches for new products and pricing models in partnership with Product Marketing, Sales, and Support. - Serve as a subject matter expert on how customers are billed across the company. YOU BRING: - 7+ years of product management experience, including 3+ years owning billing, metering, payments, or commercial platforms for a cloud or usage-based product. - Solid understanding of usage-based pricing, prepaid credits, and committed spend contracts, and how they translate into systems, invoices, and revenue. - Hands-on experience with AWS, GCP, or Azure marketplaces, including private offers, co-sell, and metering APIs. - Familiarity with payments across card, invoice, and marketplace channels, including dunning and delinquency flows. - Working knowledge of order-to-cash, including invoicing, tax, multi-currency, and revenue recognition. - Experience with third-party billing and payment platforms, such as Stripe or a usage-based billing vendor. - A track record of independently leading complex projects across engineering, Finance, and go-to-market teams, from scoping through launch. - Strong written and verbal communication, including presenting trade-offs to product and engineering leadership and explaining billing concepts to non-technical audiences. BONUS POINTS: - Experience at an infrastructure, database, or developer platform company. - Comfortable going deep with engineers on event-driven architectures, data pipelines, and idempotency, and fluent enough in SQL to analyze billing data yourself. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Europe; Portugal; France; United Kingdom; Spain; Israel; The Netherlands Workplace: Hybrid ClickHouse Cloud, the fully managed version of the open source ClickHouse database, is available on AWS, GCP, and Azure. Customers can purchase directly from ClickHouse or through the cloud marketplaces. Billing is how every ClickHouse product reaches customers and shows up in our financials. As we add new products and new ways to buy, we are investing in our billing platform to scale with them. As Principal Product Manager for Billing and Marketplaces, you will lead that work and report to the Director of Product Management, Billing and Marketplaces. WHAT YOU WILL DO: - Own the multi-year vision, strategy, and roadmap for billing, from usage metering through invoicing, payments, and revenue recognition, working alongside the product managers and engineering leads of our metering and pricing, billing platform, and payments teams. - Evolve our metering and pricing foundation into a single metrics pipeline that new products can reuse, where the same metric can be priced differently by product and tier, and only net-new metrics need code changes. - Evolve our prepaid commit capabilities, with flexibility for customer-specific rate cards or metric-level discounts, contract changes and rollovers, and customer-facing balance visibility and spend alerts. - Own our cloud marketplace strategy and integrations across AWS, GCP, and Azure, including private offers, usage reporting, and subscription linking. - Lead the evaluation of billing architecture, from build versus buy decisions and POCs through migration plans and a clear recommendation to senior leadership. - Give Finance, Data, and Sales Ops systems they can trust, including ERP and revenue recognition sync, period close, audit controls, and SOX and SOC 2 readiness. - Partner with product teams, Product Marketing, Sales, and Support to launch billing for new products and pricing models, and serve as the company's subject matter expert on how customers are billed. - Mentor other product managers and help build the team. ABOUT YOU: - 10+ years of product management experience, including 5+ years owning billing, metering, payments, or commercial platforms for a cloud or usage-based product. - Deep expertise in usage-based pricing, prepaid credits, and committed spend contracts, and in how they translate into systems, invoices, and revenue. - Hands-on experience with AWS, GCP, or Azure marketplaces, including private offers, co-sell, entitlements, metering APIs, and disbursements. - Familiarity with payments across card, invoice, marketplace, and partner channels, including dunning and delinquency flows, fraud detection, and payment notifications. - Strong understanding of order-to-cash, including invoicing, payment processing, tax, multi-currency, ERP integration, and revenue recognition. - Experience with third-party billing and payment platforms, such as Stripe or a usage-based billing vendor. - A track record of designing and maturing a product area from v1 and leading complex programs across engineering, Finance, and go-to-market teams. - Excellent written and verbal communication, including presenting trade-offs to executives and explaining billing concepts to non-technical audiences. BONUS POINTS: - Experience at an infrastructure, database, or developer platform company. - Comfortable going deep with engineers on event-driven architectures, data pipelines, and idempotency, and fluent enough in SQL to analyze billing data yourself. - Speaking or published thought leadership on usage-based pricing, billing, or cloud marketplaces. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States; Charlotte; Chicago; Seattle; Austin; Atlanta; New York; Boston; Columbus; San Francisco; Dallas Workplace: Remote ClickHouse Cloud, the fully managed version of the open source ClickHouse database, is available on AWS, GCP, and Azure. Customers can purchase directly from ClickHouse or through the cloud marketplaces. Billing is how every ClickHouse product reaches customers and shows up in our financials. As we add new products and new ways to buy, we are investing in our billing platform to scale with them. As Principal Product Manager for Billing and Marketplaces, you will lead that work and report to the Director of Product Management, Billing and Marketplaces. WHAT YOU WILL DO: - Own the multi-year vision, strategy, and roadmap for billing, from usage metering through invoicing, payments, and revenue recognition, working alongside the product managers and engineering leads of our metering and pricing, billing platform, and payments teams. - Evolve our metering and pricing foundation into a single metrics pipeline that new products can reuse, where the same metric can be priced differently by product and tier, and only net-new metrics need code changes. - Evolve our prepaid commit capabilities, with flexibility for customer-specific rate cards or metric-level discounts, contract changes and rollovers, and customer-facing balance visibility and spend alerts. - Own our cloud marketplace strategy and integrations across AWS, GCP, and Azure, including private offers, usage reporting, and subscription linking. - Lead the evaluation of billing architecture, from build versus buy decisions and POCs through migration plans and a clear recommendation to senior leadership. - Give Finance, Data, and Sales Ops systems they can trust, including ERP and revenue recognition sync, period close, audit controls, and SOX and SOC 2 readiness. - Partner with product teams, Product Marketing, Sales, and Support to launch billing for new products and pricing models, and serve as the company's subject matter expert on how customers are billed. - Mentor other product managers and help build the team. ABOUT YOU: - 10+ years of product management experience, including 5+ years owning billing, metering, payments, or commercial platforms for a cloud or usage-based product. - Deep expertise in usage-based pricing, prepaid credits, and committed spend contracts, and in how they translate into systems, invoices, and revenue. - Hands-on experience with AWS, GCP, or Azure marketplaces, including private offers, co-sell, entitlements, metering APIs, and disbursements. - Familiarity with payments across card, invoice, marketplace, and partner channels, including dunning and delinquency flows, fraud detection, and payment notifications. - Strong understanding of order-to-cash, including invoicing, payment processing, tax, multi-currency, ERP integration, and revenue recognition. - Experience with third-party billing and payment platforms, such as Stripe or a usage-based billing vendor. - A track record of designing and maturing a product area from v1 and leading complex programs across engineering, Finance, and go-to-market teams. - Excellent written and verbal communication, including presenting trade-offs to executives and explaining billing concepts to non-technical audiences. BONUS POINTS: - Experience at an infrastructure, database, or developer platform company. - Comfortable going deep with engineers on event-driven architectures, data pipelines, and idempotency, and fluent enough in SQL to analyze billing data yourself. - Speaking or published thought leadership on usage-based pricing, billing, or cloud marketplaces. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Integrity and Authenticity Policy Manager, you will be responsible for developing, refining, and maintaining policies that prevent the misuse of AI systems for deception, manipulation, and unauthorized monitoring at scale. You will serve as the policy owner for risks related to inauthentic behavior, influence activity, surveillance, and the profiling of individuals and groups, and you will help shape policy frameworks across several areas, including authenticity, information integrity, and privacy and surveillance. Your initial focus will be on translating the Integrity and Authenticity risk framework into clear, enforceable policies, ensuring policy language addresses emerging threats identified by partner teams, and establishing guidelines that enable consistent enforcement decisions. Many of the most serious harms in this space begin with upstream steps that look routine on their own, such as compiling records about a person, automating account creation, or sorting users by inferred identity. Part of your work will be defining where those steps become prohibited. The role will expand as AI capabilities advance. Safety is core to our mission. You will help ensure our products cannot be used to deceive people at scale, monitor and profile people without their knowledge or consent, or sort and target populations based on sensitive characteristics. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature, as well as detailed descriptions of privacy violations, surveillance abuses, and deceptive campaigns targeting vulnerable people. Key responsibilities Develop and define policy boundaries for covert monitoring, tracking, and surveillance across different contexts, drawing the distinction between malicious behaviors and compliant dual-use scenarios Write policy guidance on facial recognition, voice cloning, and geolocation inference, specifying which uses require consent and which are prohibited outright Map the surveillance lifecycle, from target selection and data collection through analysis and covert deployment, and define the policy line at each stage so that interventions can occur early in the chain Design and oversee evaluations that measure the model's capability to support social media monitoring, people-finding, predictive profiling, and the identification or tracking of specific people, to build, develop and improve safeguards with cross-functional partners to prevent malicious behaviors Write and refine external-facing Usage Policy language and develop training guidelines, assessment rubrics, and evaluation protocols for enforcement teams, with emphasis on indicators of covert monitoring and population-level targeting Validate enforcement decisions and automated assessments, provide policy guidance on complex edge cases such as investigative research into surveillance tools, coordinate with civil society, privacy experts, threat intelligence researchers, and academics, and serve as the escalation point for complex integrity and surveillance cases Minimum qualifications Working knowledge of how deceptive campaigns and covert monitoring operate in practice, including account networks, bot operations, data aggregation pipelines, and attribution methods Familiarity with surveillance technologies and their misuse, including social media monitoring tools, people-search services, location tracking, spyware, facial recognition, and open-source intelligence techniques used against individuals General knowledge of the global regulatory landscape around data protection, privacy, platform regulation, and digital services accountability Strong policy writing skills, with the ability to translate complex threat frameworks into clear, enforceable guidelines Experience designing policies and workflows that enable both clear human enforcement decision-making and technical implementation in ML classifiers and detection pipelines Strong collaboration skills and extensive experience partnering with Engineering, Data Science, Legal, Threat Intelligence, and Policy teams on cross-functional initiatives Excellent written and verbal communication skills, with the ability to explain deceptive tactics, surveillance methods, and policy rationales to diverse audiences, including non-specialists and policymakers Preferred qualifications 5+ years of experience in policy development, trust and safety, threat intelligence, or platform integrity, with hands-on work on inauthentic behavior, surveillance-related abuse, or data misuse Experience in privacy policy, privacy engineering, or data protection work, including familiarity with privacy impact assessments and data minimization principles Experience in intelligence roles, state-aligned monitoring operations, or covert data collection campaigns Experience investigating inauthentic networks, covert monitoring, or surveillance abuses at a platform, research organization, or government body Background in digital forensics, open-source intelligence, or threat attribution Knowledge of persuasion theory, cognitive biases, and deceptive communication techniques, including social engineering and pretexting methods Familiarity with human rights and privacy frameworks as they apply to surveillance, including protections for journalists, activists, and marginalized communities Experience with trust and safety operations involving content moderation evasion, bot detection, or platform scraping enforcement Experience working with EU institutions, regulatory bodies, or policy organizations on AI governance or digital platform regulation Experience conducting adversarial testing, red teaming, or vulnerability assessments for AI systems or platforms, particularly for misuse involving monitoring or profiling Familiarity with generative AI capabilities and an understanding of how LLMs can be used for synthetic personas, social engineering, predictive profiling, or surveillance at 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: $245,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: United States About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced U.S.-licensed attorneys with tax law expertise to support the training and evaluation of next-generation AI systems. You will analyze tax law scenarios, review AI-generated legal analyses and documents, identify errors or gaps in legal reasoning, and provide structured feedback to improve accuracy and completeness. This role is ideal for attorneys with strong legal judgment, excellent written communication, and experience interpreting complex legal issues. Prior AI experience is not required. SENIORITY: Experienced Legal Professional LANGUAGE: Excellent written English LOCATION: Remote — United States only Key Responsibilities Analyze tax law scenarios, identify key legal issues, assess risks, and apply sound legal judgment. Review AI-generated legal analyses, arguments, and documents for legal accuracy, completeness, and consistency. Identify legal errors, missing information, unsupported conclusions, and weaknesses in legal reasoning. Evaluate the application of relevant federal and state tax laws to complex factual scenarios. Provide clear, structured feedback and corrections to improve AI-generated legal outputs. Apply consistent review standards while maintaining strong attention to detail and professional judgment. Requirements Juris Doctor (J.D.) degree from a U.S. law school. Active license to practice law in at least one U.S. state or the District of Columbia. More than 3 years of substantive legal practice, preferably with experience in tax law. Strong legal reasoning, issue-spotting, and legal document review skills. Excellent written English communication and the ability to explain complex legal concepts clearly. Strong analytical skills, attention to detail, and the ability to work independently.

Location: United States; Panama; Guatemala; Mexico; Costa Rica; Canada About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an accomplished Scientific Research Expert with deep expertise in computer science, computational physics, or related theoretical and mathematical disciplines to contribute to an advanced AI research project. In this role, you will work with frontier AI models and agents to investigate open research problems, evaluate theoretical and computational results, and establish rigorous standards for measuring scientific progress. You will help guide multi-step research workflows involving proofs, algorithms, numerical experiments, simulations, and high-performance computing, while documenting model limitations and identifying promising directions for further investigation. Prior AI industry experience is not required; exceptional research expertise and rigorous scientific judgment are the priorities. SENIORITY: Principal / Research Leader LANGUAGE: Excellent written English LOCATION: Remote — Worldwide Key Responsibilities Identify and formulate foundational open problems, theoretical bounds, and computational challenges where progress can be rigorously demonstrated. Guide AI models and agents through complex, multi-step research workflows involving mathematical proofs, algorithm development, numerical experiments, and high-performance simulations. Validate research results using proof verification, computational reproduction, formal methods, and other rigorous evaluation techniques. Assess the novelty, correctness, and scientific significance of research outputs against established findings and current literature. Prepare concise research memos documenting attempted solutions, partial progress, model limitations, and recurring reasoning failures. Recommend promising research directions, subfields, and open problems suitable for investigation using advanced AI models and computational tools. Apply critical judgment when reviewing technical work beyond your immediate research specialization. Help establish evaluation standards that distinguish genuine scientific progress from plausible but unsupported results. Requirements Approximately 7–10+ years of active research experience in computer science, mathematical physics, computational physics, or a closely related discipline. Strong record of scholarly contributions, including publications in leading conferences, journals, or other recognized research venues. Deep hands-on experience with computational research methods, such as numerical analysis, simulation, algorithm implementation, or high-performance computing. Demonstrated ability to evaluate technical claims rigorously, verify results, and identify gaps in mathematical or computational reasoning. Strong familiarity with the research literature and established results in your field. Excellent analytical, technical writing, and research communication skills. Ability to work independently, assess ambiguous problems, and communicate findings clearly.

Location: United States About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Personal Injury Law Specialist to contribute to a project focused on improving the legal reasoning, accuracy, and reliability of advanced AI systems. In this contractor role, you will analyze legal scenarios, assess liability, evaluate AI-generated legal analyses and documents, and identify errors or gaps in legal reasoning. You will provide clear, structured feedback to help improve AI-generated legal outputs. The ideal candidate has a strong foundation in U.S. law, excellent analytical skills, and experience in personal injury law or civil litigation. SENIORITY: Experienced Legal Professional LANGUAGE: Excellent written English LOCATION: Remote — United States only Key Responsibilities Analyze legal scenarios to identify key legal issues, assess liability, and apply sound legal judgment. Review AI-generated legal analyses, arguments, and documents for accuracy, completeness, and consistency. Identify legal errors, missing facts, unsupported conclusions, and weaknesses in legal reasoning. Provide clear, structured feedback and corrections to improve the accuracy and quality of AI-generated outputs. Evaluate legal arguments critically, applying relevant principles of U.S. law. Maintain high standards of accuracy, clarity, and attention to detail throughout the review process. Requirements J.D. degree from a U.S. law school. Active bar license in at least one U.S. state. More than 3 years of practicing law, preferably in personal injury law or civil litigation. Strong legal reasoning, issue-spotting, and legal document review skills. Excellent written English communication skills. Exceptional attention to detail and the ability to identify subtle legal errors and gaps in reasoning. Ability to provide clear, objective, and well-structured written feedback.

Location: United States About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Employment Law Specialist to contribute to a project focused on improving the legal reasoning, accuracy, and reliability of advanced AI systems. In this contractor role, you will analyze employment law scenarios, evaluate AI-generated legal analyses and documents, identify errors or gaps in legal reasoning, and provide structured expert feedback to improve AI-generated outputs. Candidates should have a strong foundation in U.S. law, excellent legal judgment, and meticulous document review skills. Experience in employment or labor law is preferred. SENIORITY: Experienced Legal Professional LANGUAGE: Excellent written English LOCATION: Remote — United States only Key Responsibilities Analyze employment law scenarios, identify relevant legal issues, assess potential risks, and apply sound legal judgment. Review AI-generated legal analyses, arguments, and documents for legal accuracy, completeness, and consistency. Identify legal errors, missing information, unsupported conclusions, and weaknesses in legal reasoning. Provide clear, structured feedback and corrections to improve the quality and reliability of AI-generated legal outputs. Apply strong issue-spotting and critical analysis skills when evaluating complex legal scenarios. Maintain high standards of accuracy, clarity, and attention to detail throughout the review process. Requirements J.D. degree from an accredited U.S. law school. Active bar license in at least one U.S. state or the District of Columbia. More than 3 years of substantive legal practice, preferably in employment law or labor law. Strong legal reasoning, issue-spotting, and legal document review skills. Excellent written English communication skills. High attention to detail and the ability to identify nuanced legal errors and gaps in reasoning. Ability to provide clear, objective, and well-structured written feedback.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Senior Manager, SME Solutions Architecture An overview of this role You'll build and lead the regional team of product Subject Matter Experts who win GitLab's most complex opportunities. Your team covers four product groups: Security & Compliance, Platform, Core DevSecOps, and AI & Competitive. You'll partner with regional sales leadership to decide where SMEs go, coach your team to technical wins, and make sure every engagement leaves the Account team stronger. This is a player-coach role. You'll stay close to the technology and step into critical deals yourself. What you'll do Hire, develop and retain a regional team of SMEs across four product groups, with a clear growth path for each person. Run the regional engagement model with Account SA and Post-Sales leaders. Keep triage fast, coverage focused on the top opportunities, and the line between Account SA and SME ownership clear. Partner with regional sales leaders and AVPs on deal strategy, forecast calls and product-category plans. Review SME coverage weekly against the regional pipeline. Move capacity to where product-category commit and consumption are at risk. Step into strategic deals as an executive technical sponsor when the opportunity calls for it. Coach SMEs on PoV design, executive storytelling and competitive positioning. Hold a high bar for technical quality. Keep engagement and outcome data accurate in Salesforce so the team's impact is visible and measurable. Work with your peer regional managers and the Senior Director on shared assets, enablement programs and a consistent global playbook. Bring regional customer and competitive signals to Product and Engineering through the Senior Director. Build a team culture of trust, ownership and learning. Celebrate wins openly and treat misses as data. What you'll bring 5+ Years experience leading technical pre-sales, solutions architecture or consulting, including time leading teams of technical individual contributors. Hands-on depth in at least one of the four product groups, and enough breadth to coach across all four, including working fluency with AI-assisted development. A record of hiring and developing high-performing technical specialists or SAs. Experience partnering with sales leaders on enterprise forecasts, deal strategy and territory planning. Comfort with data. You can show how your team moves win rates, cycle times and consumption. Strong executive presence with customers and internal leaders. Experience leading through change, with clear and steady communication. Experience running an overlay or specialist team, or launching a new team or product category. How you'll be measured Regional product-category commit attainment and consumption growth. Technical win rate, PoV conversion and time to production use on SME-engaged opportunities. SME coverage of the top 10% of regional opportunities, and lead time from request to engagement. Account SA satisfaction with SME support. Team hiring, ramp time, engagement and retention. EAP Participation Rates for your given geography Compensation model Variable compensation is tied to regional product-category commit and consumption, aligned to geo sales leadership. About the team The regional SME team is part of GitLab's Solutions Architecture organization and works closely with the regional Account SA and Post-Sales SA teams. Together they give the field a consistent technical story from first discovery through production adoption. The team is distributed and all-remote. How GitLab will support you Be nefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $166,200 — $249,300 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .