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Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.This is a remote position. We are looking for candidates in the UK, Spain and Ireland only.  The Opportunity:  About our Platform:Grafana Cloud moves millions of metrics, log lines, and traces per second from our customers' environments into a highly available, low-latency stack that processes and stores this data, and serves them to dashboards and alerting tools. We aim to grow this to hundreds of millions per second, and it's critical that as we grow, we improve our performance, increase our reliability, and, of course, do it efficiently and effectively. The Internal Engineering Platform (IEP) delivered by the Foundations group provides application engineers with the tools, systems and Kubernetes clusters they need to build, deploy and run their workloads.  We are hiring an engineer as part of the creation of a new Foundation’s “Metal” squad. This squad will be responsible for building and provisioning resources including storage, networking and Kubernetes clusters in new environments, starting with our own physical hardware. They will provide a Kubernetes control plane and underlying resources, outside public Cloud, to the rest of Engineering. What Makes You a Great Fit:You enjoy working with engineers, as well as with the management structures that are there to support you and enable you and your team to do your very best.  You are comfortable working in a remote-first company; communication is key. For us, working together means being collaborative, friendly, kind, and respectful. We operate by consensus, you can contribute to a discussion but then commit to the team decision. As such, being such a highly distributed company, means we would love someone who is keen on working with distributed systems, too. You are eager to learn and grow. There is a lot of room for growth and development, and the team has quite a lot of knowledge to share for those who are wanting to learn.  You approach development holistically. The team owns the full life cycle of our code; from writing design docs, to looking at developer feedback, and integration testing. We appreciate engineers who enjoy looking at the big picture, and also notice the details of the brush strokes. The Platform team mainly works with Go, Python, and Shell. You have experience with operating your code. Since a lot of operators and developers use our software, having some grounding in both of these spaces really helps us with building better platforms for our users. Datacenter experience. Participation in an on-call rotation. What You’ll Be Doing: Management of our physical “Metal” environment from bare metal to kubernetes.  Management of cluster networking components: load balancing, NAT, DNS, CNIs, cross-cluster communication, Routing protocols, Architecture. Management of scheduling and autoscaling. Maintaining Crossplane compositions and Terraform modules for CSP resources common to our users. As well the management of versioning and compatibility for Crossplane and Terraform core as well as providers. Work with our users (Grafana Cloud application teams) to help understand their needs and ensure we’re investing in the right capabilities. Bonus Points For: Experience with Cluster-API, Tinkerbell, Talos and/or Ceph You’ve worked in or on open source, or other community-based projects previously. At Grafana Labs, “OSS is in our DNA”. Experience with a few CSPs. We run Grafana Cloud on AWS, GCP, and Azure using each’s managed Kubernetes service - EKS, GKE, AKS. Experience operating and managing workloads on Kubernetes. We use Tanka for configuration management with Jsonnet. Familiarity with Kubernetes scheduling and projects like Karpenter. Terraform and/or Crossplane experience. We have mixed usage - each has its strengths. Enjoys programming in Go! We love building our own tools, utilities, exporters, etc. that suit our needs and otherwise don’t exist (and open sourcing them). Maybe there’s something missing in this job description that you think you might bring to our table? Feel free to let us know! In Spain, the compensation range for this role is €82,988 - €99,586. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.  Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.   

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.This is a remote position. We are looking for candidates in the UK, Spain and Ireland only.  The Opportunity:  About our Platform:Grafana Cloud moves millions of metrics, log lines, and traces per second from our customers' environments into a highly available, low-latency stack that processes and stores this data, and serves them to dashboards and alerting tools. We aim to grow this to hundreds of millions per second, and it's critical that as we grow, we improve our performance, increase our reliability, and, of course, do it efficiently and effectively. The Internal Engineering Platform (IEP) delivered by the Foundations group provides application engineers with the tools, systems and Kubernetes clusters they need to build, deploy and run their workloads.  We are hiring an engineer as part of the creation of a new Foundation’s “Metal” squad. This squad will be responsible for building and provisioning resources including storage, networking and Kubernetes clusters in new environments, starting with our own physical hardware. They will provide a Kubernetes control plane and underlying resources, outside public Cloud, to the rest of Engineering. What Makes You a Great Fit:You enjoy working with engineers, as well as with the management structures that are there to support you and enable you and your team to do your very best.  You are comfortable working in a remote-first company; communication is key. For us, working together means being collaborative, friendly, kind, and respectful. We operate by consensus, you can contribute to a discussion but then commit to the team decision. As such, being such a highly distributed company, means we would love someone who is keen on working with distributed systems, too. You are eager to learn and grow. There is a lot of room for growth and development, and the team has quite a lot of knowledge to share for those who are wanting to learn.  You approach development holistically. The team owns the full life cycle of our code; from writing design docs, to looking at developer feedback, and integration testing. We appreciate engineers who enjoy looking at the big picture, and also notice the details of the brush strokes. The Platform team mainly works with Go, Python, and Shell. You have experience with operating your code. Since a lot of operators and developers use our software, having some grounding in both of these spaces really helps us with building better platforms for our users. Datacenter experience. Participation in an on-call rotation. What You’ll Be Doing: Management of our physical “Metal” environment from bare metal to kubernetes.  Management of cluster networking components: load balancing, NAT, DNS, CNIs, cross-cluster communication, Routing protocols, Architecture. Management of scheduling and autoscaling. Maintaining Crossplane compositions and Terraform modules for CSP resources common to our users. As well the management of versioning and compatibility for Crossplane and Terraform core as well as providers. Work with our users (Grafana Cloud application teams) to help understand their needs and ensure we’re investing in the right capabilities. Bonus Points For: Experience with Cluster-API, Tinkerbell, Talos and/or Ceph You’ve worked in or on open source, or other community-based projects previously. At Grafana Labs, “OSS is in our DNA”. Experience with a few CSPs. We run Grafana Cloud on AWS, GCP, and Azure using each’s managed Kubernetes service - EKS, GKE, AKS. Experience operating and managing workloads on Kubernetes. We use Tanka for configuration management with Jsonnet. Familiarity with Kubernetes scheduling and projects like Karpenter. Terraform and/or Crossplane experience. We have mixed usage - each has its strengths. Enjoys programming in Go! We love building our own tools, utilities, exporters, etc. that suit our needs and otherwise don’t exist (and open sourcing them). Maybe there’s something missing in this job description that you think you might bring to our table? Feel free to let us know! In UK, the compensation range for this role is £91,755 - £110,106. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.  Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.   

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 You'll own US and Canada payroll operations end-to-end — hands-on in Workday, close to the details — while also managing and developing 1–2 direct reports on the US team. You'll report directly to the Head of Global Payroll and be a key leader in making sure North American payroll keeps pace with Anthropic's growth. Strategic importance: You'll be a key contributor to our compliance initiative — our framework for managing payroll tax obligations across US & Canada. You'll also be part of the team driving AI adoption within payroll: we're actively building out how AI tools can improve reconciliation accuracy, error detection, and reporting workflows. This isn't a future initiative — it's happening now. Responsibilities  US Payroll Operations Own full-cycle payroll processing for all US entities — multi-state, multi-frequency, exempt and non-exempt populations Process complex equity compensation including RSUs, ISOs, and NSOs, ensuring accurate tax withholding and timely reporting Manage high-volume payments: bonuses, commissions, severance, and equity events Oversee quarter-end, W-2 preparation, year-end reconciliations, and resolution of federal and state tax notices Maintain and continuously improve Workday payroll configuration — identify automation opportunities and lead optimization initiatives Canada Payroll Management Oversee Canada payroll operations in partnership with our PwC Global Payroll Platform, developing expertise in CRA compliance, T4s, Records of Employment, and multi-province processing Partner with our international payroll team to ensure Canada stays integrated into our global compliance posture Build out Canada payroll SOPs as the function matures Team Leadership & Development Manage and develop 1–2 direct reports on the US payroll team — set clear expectations, provide regular feedback, and invest in their growth Build a team culture of accuracy, accountability, and continuous improvement Serve as the escalation point for complex payroll issues and employee inquiries Cross-Functional Partnership & Compliance Partner with Corporate Accounting on payroll journal entries, accruals, and month-end close Work closely with Tax, Benefits, People Systems, and Employment Legal to ensure data integrity and compliance Support audit readiness and internal & systems controls AI Adoption & Process Improvement Champion the use of AI tools within the payroll function — identify high-value use cases for reconciliation, anomaly detection, and reporting Lead or support process improvement projects that reduce manual effort, increase accuracy, and improve the employee payroll experience Document processes, build SOPs, and contribute to the team's knowledge infrastructure You may be a good fit if you have 8+ years of payroll experience, with at least 3 years in a senior or manager-level role owning US multi-state payroll end-to-end Hold a CPP (Certified Payroll Professional) certification Direct people management experience — you've managed at least one FTE directly, not just contractors or mentorship relationships Strong Workday experience — payroll module preferred; HCM with direct payroll involvement and a clear path to Workday Payroll ownership is considered Deep familiarity with equity compensation processing (RSUs, ISOs, NSOs) and the tax implications at both federal and state levels Demonstrated ability to thrive in fast-moving, ambiguous environments — you build structure where none exists and don't wait for someone to hand you a playbook Strong cross-functional instincts — you know how to build trust quickly, influence without authority, and communicate clearly across Finance, HR, Legal, and beyond Strong candidates may also have Canada payroll experience — even introductory exposure is valued; willingness to learn and grow into the function matters more than deep expertise on day one Experimented with AI or automation tools to improve payroll workflows (reconciliation, error detection, reporting) Been part of a Workday payroll implementation or major system migration Worked at a company that scaled rapidly — from 500 to 2,000+ employees — and built payroll infrastructure to match Experience in or exposure to IPO readiness, SOX compliance, or building financial controls from scratch The annual compensation range for this role is listed below.  For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$230,000—$300,000 USDLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role  The Platform Org The Anthropic Platform Org’s mission is to help builders build. Our vision is to be the premier platform for businesses to transform themselves and their products with AI. This org is responsible for our APIs, self-serve developer experience, multi-cloud integrations, and agentic infrastructure. We serve a wide array of users from startups to large scale enterprises.  The platform team is comprised of three key areas: Enterprise fabric – where we are building multi-cloud integrations at extreme scale across our entire stack to meet businesses wherever they are and in the most demanding of requirements.  Frontier capabilities – where we are building developer experiences and features that enable users to get the most out of the model and build at the very frontier of intelligence. Agentic platform – where we are inventing the next generation of agentic infrastructure for production-grade use and building new products to enable businesses to solve problems with agents.  Responsibilities: Customer Understanding & Advocacy Deeply engage with enterprise developers and technical leaders to understand their integration needs and pain points Run regular feedback sessions and technical reviews with key enterprise customers Build strong relationships with enterprise development teams to understand their workflows and challenges Transform customer insights into actionable product requirements and priorities Product Strategy & Vision Define and execute the enterprise API strategy, balancing security requirements with developer experience Develop a clear roadmap for enterprise API features including authentication, rate limiting, and compliance capabilities Identify and prioritize key enterprise integration patterns that drive organizational value Enterprise API Development Partner with engineering to build enterprise-grade API features, security controls, and deployment tools Design and implement enterprise integration frameworks and SDKs for common enterprise systems Drive development of industry-specific API features and compliance capabilities Cross-functional Leadership Partner with sales and customer success to understand enterprise requirements and support technical evaluations Work closely with security and compliance teams to meet enterprise standards Collaborate with platform teams on API architecture and scalability Engage with marketing to develop enterprise API positioning and technical materials Minimum QualificationsYou may be a good fit if you have: Product management experience, with significant experience in API and enterprise software Strong technical background with understanding of API architecture and integration patterns Track record of successfully launching and scaling enterprise API products Demonstrated ability to build strong relationships with technical customers and translate their needs into product features Strong understanding of enterprise security, compliance, and deployment requirements Proficiency in with business analytics and experience with data-driven decision making Excellence in cross-functional collaboration and stakeholder management Clear communication skills with ability to engage with both technical and business stakeholders Preferred Qualifications Have 5+ years of product management experience. Experience as a founder or early-stage operator     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:$305,000—$385,000 USDLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.  At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About the TeamCloudflare handles traffic for almost 25% of the Internet. That’s a lot of data. On the Town Lake team, our mission is to make that data accessible and valuable for users across the company. We connect data from dozens of source systems and make it available so that any user in the company can answer any question in 5 minutes or less, using SQL or plain english. We’re building a modern, agentic-first data lakehouse platform based on Trino and Apache Iceberg, and all the supporting services for ingestion, transformation access control, governance, dashboarding and agentic access are built on Cloudflare's own platform. R2 and R2 Data Catalog for storage, Workers and Workers AI for compute, Workflows for orchestration, Durable Objects and D1 for state, Cloudflare Access for authentication. This is a small but growing team already having an outsized and highly visible impact at the company. If you’re looking for an opportunity to make a splash, have a foundational say in a new, exciting and growing platform, and steer the direction on the frontier of data platforms, this team might be a good fit for you.Read more about our platform in the Cloudflare blog (https://blog.cloudflare.com/our-unified-data-platform/). About the RoleWe are looking for an experienced, product-minded principal software engineer to help take Town Lake from a fast-growing internal platform into the foundational data infrastructure for the entire company. You’ll lead technical architecture and drive implementation for services across our whole stack, covering areas such as access control, an ingestion framework, AI-driven data classification, a semantic and governance layer, data product/ELT platform, a dashboarding and query tool, and more.We are an agentic first team: we leverage AI deeply and comprehensively to accelerate development and make things possible that wouldn’t be otherwise, and all our tools and services are agentic first for our users and the products they build on top of them.Town Lake is already used by dozens of teams across Cloudflare including Billing, Trust & Safety, Developer Platform, GTM and Support organizations. This is a high-impact, high-visibility role where you’ll work with critical teams across the company to solve real and interesting problems.What You’ll DoDefine, design and execute strategic technical architecture for highly visible, highly critical data infrastructure at the company.Lead the design and development of tools and infrastructure to improve and scale our data infrastructure at Cloudflare.Lead the design and development of data pipelines and data products to serve customers throughout the company, including tools to automate delivery of those services.Become a subject matter expert across both our data platforms, tools and infrastructures as well as our data itself to guide and enable stakeholders with data needs.Work across our tech stack, which includes Kubernetes, Trino, Iceberg, Clickhouse, and PostgreSQL, with software built using Go, Javascript/Typescript, Python, and others.Mentor and support junior engineers on the team, reinforcing a culture of exceptional delivery and accountability on the team.Requirements8+ years of experience as a software engineer with a focus on designing, building and scaling data infrastructureProven experience leading technical initiatives in a cross-functional context, working with multiple stakeholders and driving value delivery.Extensive experience with data infrastructure at scale, including tools like Trino, Spark, Iceberg/Delta Lake, Kafka, Clickhouse, PostgreSQLExperience designing, building and debugging data pipelines at scaleProficient using backend languages like Go, Python, Typescript, and Rust, along with SQLExcellent analytical skills, with a focus on understanding data and how stakeholders use it to drive valueStrong communication skills, especially around articulating technical concepts for technical and non-technical audiencesExperience creating and using agentic development workflows and an AI-first mentalityDesirable SkillsExperience with data orchestration and infrastructure platforms like Airflow and DBTExperience deploying and managing infrastructure in KubernetesExperience with data governance platforms and processes, with a focus on privacy and auditabilityKnowledge about machine learning models and MLOpsWhat Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our Fraud, Losses, and Financial Crime Data Science team builds the models and data products that protect Stripe and its users from fraud, account takeover, and financial crime. We own the full fraud and loss modeling stack - from account takeover detection and card fraud classification to merchant-level loss estimation, unsupervised anomaly detection, and financial crime risk modeling. We partner with Fraud Engineering, Financial Crimes Engineering, and Risk Operations to bring these systems into production and ensure they have measurable impact on Stripe's financial integrity and user trust. What you'll do We're looking for a Data Scientist to join the Fraud Data Science team. In this role, you'll build and improve the models that power Stripe's fraud detection and loss management systems. You'll work closely with Fraud Engineering and Risk Operations to move models from research to production, and you'll use data to surface insights that shape fraud strategy across the business. Data scientists on this team apply supervised and unsupervised machine learning, statistical modeling, causal inference, optimization, and experimentation to some of the most consequential risk problems in global payments. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements PhD with 1-3 years, MS or MA with 2-6 years, or BS or BA with 4-8 years of data science or quantitative modeling experience Experience with Fraud, Risk or Financial Crimes Proficiency in SQL and a computing language such as Python or R Experience in working with cross-functional teams to deliver results Ability to communicate results clearly and a focus on driving impact A demonstrated ability to manage and deliver on multiple projects with a high attention to detail Strong business acumen and experience in synthesizing complex analyses into actionable recommendations Proficiency with AI tools to accelerate model development, analysis, and coding Preferred qualifications Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, causal inference, and experimentation Experience deploying models in production and adjusting model thresholds to improve performance Experience designing, running, and analyzing complex experiments or leveraging causal inference designs A builder's mindset with a willingness to question assumptions and conventional wisdom Experience with distributed tools such as Spark, Hadoop, etc. A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re 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.The Opportunity: At Grafana Labs, we’re redefining what post-sales technical partnership looks like—and it starts with the Observability Architect. This is a role for deeply technical experts who are ready to step into strategic leadership with our most important customers. If you thrive at the intersection of systems thinking, architecture design, and customer impact—this is your stage. As an Observability Architect, you will be the technical owner of long-term customer success. You’ll architect and guide the implementation of complex observability solutions across a wide range of modern infrastructure and application environments. You’ll build strategic relationships with engineers, SREs, and architects—ensuring Grafana’s technology is not just deployed, but deeply embedded into mission-critical systems. Working hand-in-hand with our Engagement Managers, you’ll lead technical discovery, design, onboarding, and enablement—all with a focus on delivering tangible outcomes. You’ll spot patterns, solve hard problems, and guide customers through their observability maturity curve with authority and clarity. You’ll also represent the technical voice of our customers internally—shaping product feedback and roadmap priorities by working closely with Engineering and Product Management. This is a hands-on, high-impact role for those who want to go deep, stay technical, and directly influence customer success at scale. Join us and become part of the most respected observability team in the industry. What You'll Be Doing: Serve as the primary technical point of contact for a portfolio of Grafana customers. Design the observability maturity journey of customers and assist them on that path.  Provide expert-level troubleshooting and guidance to drive adoption. Conduct regular technical reviews and health checks to ensure client success. Assist in RCA to understand issues that affect customer satisfaction, retention, and overall product experience. Advise clients on best practices and strategies for leveraging our technology to achieve their business goals Collaborate with clients to develop and execute technical roadmaps. Identify opportunities for clients to optimize their cost, expand their use of our solutions and drive adoption of new products and features. Develop and maintain strong, long-term relationships with key stakeholders. With the support of our Engagement Managers and Onboarding Solutions Architects, own customer lifecycle. Drive the adoption and effective use of our product suite within your customer portfolio to maximize their value from our platform and ensure a strong return on investment. Act as the voice of the customer within the company, advocating for their needs, priorities and feature requests. Conduct training sessions and workshops to educate clients on our technology. Develop and deliver technical documentation, guides, and tutorials. Work alongside account teams to participate in and/or conduct regular reviews with customers to identify areas for improvement, calculate ROI, assess their satisfaction, and discuss upcoming needs and projects. Prepare and present reports on client metrics, achievements, and areas of focus. What Makes You a Great Fit: Located on the West Coast Bachelor’s degree in Computer Science, Information Technology, Math or a related field (or equivalent experience). Experience deploying and operating Kubernetes. 5+ years of experience in a technical support, technical account management, consulting, SE or Professional Services role within the technology industry.  Strong understanding of observability solutions. Grafana, Prometheus, and Loki a plus. Proven ability to manage multiple clients and projects simultaneously. Excellent problem-solving and analytical skills. Outstanding communication and interpersonal skills. Experience with relevant tools and technologies, e.g., CRM software, ticketing systems, specific programming languages. Ability to travel as needed to meet with clients (up to 25%). Identify and provide timely workarounds and solutions to meet a customer’s business needs. You have some observability expertise, preferably architect level First class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers.  Ability to articulate our value proposition and the technical advantages of our products You will love solving technical challenges and thrive on bringing creative solutions to our customers Bonus Points For: 2+ years of technical sales, TAM or other post sales technical experience, ideally with open source technologies, or in the observability space. Great at connecting product usage to value (ROI). Great at managing customer lifecycle. You will be creative in solving customer adoption challenges. You can proactively assist customers with technical issues that may arise and assist in the troubleshooting and root cause analysis.  You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table!   In the US, the OTE compensation range for this role is $139,000 - $167,000.  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.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re 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.The Opportunity: At Grafana Labs, we’re redefining what post-sales technical partnership looks like—and it starts with the Observability Architect. This is a role for deeply technical experts who are ready to step into strategic leadership with our most important customers. If you thrive at the intersection of systems thinking, architecture design, and customer impact—this is your stage. As an Observability Architect, you will be the technical owner of long-term customer success. You’ll architect and guide the implementation of complex observability solutions across a wide range of modern infrastructure and application environments. You’ll build strategic relationships with engineers, SREs, and architects—ensuring Grafana’s technology is not just deployed, but deeply embedded into mission-critical systems. Working hand-in-hand with our Engagement Managers, you’ll lead technical discovery, design, onboarding, and enablement—all with a focus on delivering tangible outcomes. You’ll spot patterns, solve hard problems, and guide customers through their observability maturity curve with authority and clarity. You’ll also represent the technical voice of our customers internally—shaping product feedback and roadmap priorities by working closely with Engineering and Product Management. This is a hands-on, high-impact role for those who want to go deep, stay technical, and directly influence customer success at scale. Join us and become part of the most respected observability team in the industry. What You'll Be Doing: Serve as the primary technical point of contact for a portfolio of Grafana customers. Design the observability maturity journey of customers and assist them on that path.  Provide expert-level troubleshooting and guidance to drive adoption. Conduct regular technical reviews and health checks to ensure client success. Assist in RCA to understand issues that affect customer satisfaction, retention, and overall product experience. Advise clients on best practices and strategies for leveraging our technology to achieve their business goals Collaborate with clients to develop and execute technical roadmaps. Identify opportunities for clients to optimize their cost, expand their use of our solutions and drive adoption of new products and features. Develop and maintain strong, long-term relationships with key stakeholders. With the support of our Engagement Managers and Onboarding Solutions Architects, own customer lifecycle. Drive the adoption and effective use of our product suite within your customer portfolio to maximize their value from our platform and ensure a strong return on investment. Act as the voice of the customer within the company, advocating for their needs, priorities and feature requests. Conduct training sessions and workshops to educate clients on our technology. Develop and deliver technical documentation, guides, and tutorials. Work alongside account teams to participate in and/or conduct regular reviews with customers to identify areas for improvement, calculate ROI, assess their satisfaction, and discuss upcoming needs and projects. Prepare and present reports on client metrics, achievements, and areas of focus. What Makes You a Great Fit: Bachelor’s degree in Computer Science, Information Technology, Math or a related field (or equivalent experience). Experience deploying and operating Kubernetes. 5+ years of experience in a technical support, technical account management, consulting, SE or Professional Services role within the technology industry.  Strong understanding of observability solutions. Grafana, Prometheus, and Loki a plus. Proven ability to manage multiple clients and projects simultaneously. Excellent problem-solving and analytical skills. Outstanding communication and interpersonal skills. Experience with relevant tools and technologies, e.g., CRM software, ticketing systems, specific programming languages. Ability to travel as needed to meet with clients (up to 25%). Identify and provide timely workarounds and solutions to meet a customer’s business needs. You have some observability expertise, preferably architect level First class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers.  Ability to articulate our value proposition and the technical advantages of our products You will love solving technical challenges and thrive on bringing creative solutions to our customers Bonus Points For: 5+ years of technical sales, TAM or other post sales technical experience, ideally with open source technologies, or in the observability space. Great at connecting product usage to value (ROI). Great at managing customer lifecycle. You will be creative in solving customer adoption challenges. You can proactively assist customers with technical issues that may arise and assist in the troubleshooting and root cause analysis.  You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table!   In India, the OTE compensation range for this role is 7,300,000 - 9,800,000 INR. 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.

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 Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work  Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Please note this role requires 3 days in office per week.  Deadline to apply: None. Applications will be reviewed on a rolling basis. 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:$240,000—$315,000 USDLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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's Tax Technology function sits inside Finance Systems and owns the systems that make every revenue and purchasing motion bookable, taxable, and auditable from day one. We're looking for a tax technologist who builds: someone who already understands how tax systems work and who writes the integrations, tooling, and production code that connect them to Anthropic billing, ERP, and data warehouse systems. You'll build across all of tax, including indirect tax, corporate income tax and provision, withholding tax, R&D credits, and transfer pricing. You'll be a foundational hire on a small team, working directly with the Tax Technology Lead and be a trusted partner to our cross functional partners in Tax, Data Science, Billing Engineering and Product, among others.  You'll be the key Anthropic tax technology technical resource building and hardening the tax-specific tooling and audit-ready evidence pipelines that allow the function to keep pace as the business grows. This role is expected to take on more ambitious projects over time, including using Claude to automate tax work end to end and building internal products that are both high impact and seamless to use for the Tax team. Key responsibilities Own tax-related changes in the billing codebase and the billing-to-tax-engine integration, including withholding tax considerations Lead the AP tax engine implementation across ERP-connected purchasing flows: data migration, integration pipelines, parallel-run reconciliation, e-invoicing and go-live validation Build and iterate tax-specific products and internal tooling across the full tax stack, including indirect tax reconciliations, provision and research credit data pipelines, transfer pricing datasets, withholding tracking, and exemption and validation tooling Own the production connection points between the tax stack and our data infrastructure, feeding the central ingestion layer Build SOX-aware IPE and control-total tooling on tax data flows: ingestion control totals, source-to-target tie-outs, and evidence pipelines that stand up to external audit Design and build tooling that applies Claude to tax work and gives non-technical tax colleagues self-serve access to data, calculations, and evidence Serve as the technical owner for vendor implementation handoffs, in the room during the build and accountable after go-live Partner with Billing Engineering, Data Platform, Tax, Treasury and Product to keep the tax stack optimized and compliant as new products and jurisdictions come online Minimum qualifications Hands-on experience building or owning production integrations against billing platforms, ERPs, or enterprise tax or finance systems Tax-systems fluency in at least one domain (indirect tax engines, corporate tax provision or compliance tooling, withholding, research credit, or transfer pricing systems), gained at a tax-technology practice, a tax software vendor, or an in-house tax-systems team Proficiency writing production-grade Python, with testing and code-review discipline SQL proficiency sufficient to build reconciliations and validate data end to end Experience building or operating SOX-aware data flows, such as IPE, control totals, or documented and testable pipelines Ability to work independently in a constantly changing and fast paced environment Ability to work directly with vendors, auditors, engineers, and the tax team without an intermediary Preferred qualifications 7+ years in tax technology, finance systems engineering, or a closely related field Experience owning changes inside a shared production codebase alongside a product engineering team Warehouse and analytics-engineering skills such as dbt, BigQuery, or comparable Breadth across multiple tax domains, including indirect (sales/use, VAT/GST), corporate income tax and provision, withholding, research credit, and transfer pricing data Experience building internal tools or interfaces for non-technical finance or tax users Experience building with LLMs or applying AI to finance or tax work Marketplace, usage-based, or platform billing exposure Experience taking over vendor-built systems and hardening them for long-term ownership UAT design and change-management experience on finance-systems implementations Record of novel AI applications for foundational tax tasks or problems 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:$205,000—$270,000 USDLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.