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Location: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid THE ROLE Xero reimagined accounting software. Now we’re reimagining how small businesses get paid and how money moves. We're making a critical, multi-year investment in two connected engineering portfolios, Payments Products & Experiences and Payments Platform, and we're hiring a Principal Engineer for each. As our three-year payments strategy reaches a turning point, you'll help shape what comes next, with domain-level influence over the next two to three years. You'll shape technical strategy across multiple teams, partnering with senior stakeholders to turn complex requirements into scalable, resilient systems. Staying close to the technical detail, you'll set the example for a portfolio of 40 to 50 engineers. You'll also join a global community of Principal Engineers across Xero, driving engineering standards, architecture, and best practices. You'll Go Bold by setting long-term direction, and Go Together by bringing product, engineering and senior stakeholders with you. THE TEAMS Payments Products & Experiences: this portfolio is made up of our Get Paid and Growth teams, builds the checkout, payment methods, flexible payments and AI payment agents that help small businesses get paid on time. Payments Platform: this portfolio is the engine underneath, with provider integrations, bill payments and a single, product-agnostic API that other Xero teams build on. Together they move billions of dollars across more than 150,000 transactions a day, a number set to double as we grow into the UK and US. THE TEAMS ARE CURRENTLY WORKING ON - Tech stack: microservices across web, API and data layers, built in languages such as C#, Java, Go or C++, running on AWS with SQL and NoSQL data stores. - Current focus: reviewing existing payments systems to work out what to extend, migrate or rebuild, alongside Growth experiments and AI-powered payment chasing. - Future focus: a multi-year payments architecture covering agentic payment workflows, payments inside AI assistants and recurring payments. - Global scale: replatforming payment methods and designing global rails and a ledger ready for new markets. WHERE AND HOW YOU CAN WORK You'll be based in Sydney or Melbourne, working a hybrid model that blends time together in our modern offices with the flexibility of working from home. Boost days bring teams together to connect and collaborate in person. With colleagues across Australia and the US and payment flows that run around the clock, you'll also work across time zones. SOME OF THE THINGS WE'RE LOOKING FOR - You bring deep experience designing and running large-scale distributed systems in production, balancing reliability, performance and cost, and any payments or fintech experience is a real plus. - API-first thinking is second nature, and you're at home across web, API and data layers, with fluency in at least one modern backend language, SQL and NoSQL stores, and cloud-native platforms, ideally AWS. - Legacy-heavy systems are a puzzle you enjoy, and you make clear, practical calls on whether to extend, migrate or build while staying hands-on through pairing, spikes and code. - A strong interest in utilising AI tooling is essential, as you will model how to use these technologies to automate tasks and improve engineering outcomes. - Your background shows a deep curiosity for growth hacking and a proven ability to design and analyse A/B tests that drive product usage. - You'll Go Further by mentoring Staff and Senior engineers, shaping cross-team initiatives with Xero's Principal community and setting standards that lift engineering across Xero. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid THE ROLE   Xero reimagined accounting software. Now we’re reimagining how small businesses get paid and how money moves. We're making a critical, multi-year investment in two connected engineering portfolios, Payments Products & Experiences and Payments Platform, and we're hiring a Principal Engineer for each. As our three-year payments strategy reaches a turning point, you'll help shape what comes next, with domain-level influence over the next two to three years.   You'll shape technical strategy across multiple teams, partnering with senior stakeholders to turn complex requirements into scalable, resilient systems. Staying close to the technical detail, you'll set the example for a portfolio of 40 to 50 engineers. You'll also join a global community of Principal Engineers across Xero, driving engineering standards, architecture, and best practices.   You'll Go Bold by setting long-term direction, and Go Together by bringing product, engineering and senior stakeholders with you.   THE TEAMS Payments Products & Experiences: this portfolio is made up of our Get Paid and Growth teams, builds the checkout, payment methods, flexible payments and AI payment agents that help small businesses get paid on time.   Payments Platform: this portfolio is the engine underneath, with provider integrations, bill payments and a single, product-agnostic API that other Xero teams build on.   Together they move billions of dollars across more than 150,000 transactions a day, a number set to double as we grow into the UK and US.   THE TEAMS ARE CURRENTLY WORKING ON - Tech stack: microservices across web, API and data layers, built in languages such as C#, Java, Go or C++, running on AWS with SQL and NoSQL data stores. - Current focus: reviewing existing payments systems to work out what to extend, migrate or rebuild, alongside Growth experiments and AI-powered payment chasing. - Future focus: a multi-year payments architecture covering agentic payment workflows, payments inside AI assistants and recurring payments. - Global scale: replatforming payment methods and designing global rails and a ledger ready for new markets.   WHERE AND HOW YOU CAN WORK You'll be based in Sydney or Melbourne, working a hybrid model that blends time together in our modern offices with the flexibility of working from home. Boost days bring teams together to connect and collaborate in person. With colleagues across Australia and the US and payment flows that run around the clock, you'll also work across time zones.   SOME OF THE THINGS WE'RE LOOKING FOR - You bring deep experience designing and running large-scale distributed systems in production, balancing reliability, performance and cost, and any payments or fintech experience is a real plus. - API-first thinking is second nature, and you're at home across web, API and data layers, with fluency in at least one modern backend language, SQL and NoSQL stores, and cloud-native platforms, ideally AWS. - Legacy-heavy systems are a puzzle you enjoy, and you make clear, practical calls on whether to extend, migrate or build while staying hands-on through pairing, spikes and code. - A strong interest in utilising AI tooling is essential, as you will model how to use these technologies to automate tasks and improve engineering outcomes. - Your background shows a deep curiosity for growth hacking and a proven ability to design and analyse A/B tests that drive product usage. - You'll Go Further by mentoring Staff and Senior engineers, shaping cross-team initiatives with Xero's Principal community and setting standards that lift engineering across Xero.   Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: London, UK DataArt is seeking an experienced, hands-on Principal Solution Architect to support a strategic technology modernization program for a major UK digital platform - encompassing platform modernization, cloud infrastructure and the adoption of AI-enabled software engineering practices. The initial focus will be on Web Platform Modernization, but the engagement is expected to extend across multiple architectural domains, including AWS infrastructure, APIs, search, commerce, identity and other core platform services. We are looking for a technically credible, commercially aware architect who can operate across these domains, assess complex existing environments and translate modernization opportunities into pragmatic, executable delivery plans. The successful candidate will act as DataArt’s senior technical representative, working closely with the client’s architecture, engineering and transformation leadership while providing technical direction to DataArt’s distributed engineering teams. This is not a traditional enterprise architecture or governance role. We need someone who combines broad architectural expertise with hands-on technical experience and a strong track record of delivering complex modernization programs. This project focuses on assessing a complex existing technology landscape and defining pragmatic modernisation plans for business critical platform components. You will help shape target state architecture, delivery roadmaps, and implementation strategies across multiple architectural domains. Lead architecture discovery across the technology landscape with an initial focus on the web platform. Assess existing applications, platform services, cloud infrastructure, and integration patterns. Evaluate technical debt, scalability constraints, resilience, performance, and operational challenges. Review AWS architecture and identify opportunities for cloud native modernisation, optimisation, and simplification. Define pragmatic target state architectures aligned with the broader technology strategy. Develop modernisation approaches covering application replatforming, refactoring, cloud migration, and incremental replacement. Design scalable, resilient, and secure solutions using AWS and modern cloud native technologies. Assess integration patterns, API architecture, distributed systems, and service boundaries. Identify architectural dependencies and risks related to modernising business-critical components. Translate architecture assessments into prioritised delivery work packages. Develop technical roadmaps, implementation strategies, and migration plans. Support engineering estimation, resource planning, and commercial scoping. Provide technical direction to distributed engineering teams. Lead technical workshops, architecture reviews, and solution design discussions. Communicate architectural options, trade-offs, and recommendations to technical and non-technical audiences. 12+ years’ experience in software engineering and solution architecture, with significant experience in senior architecture leadership roles. Proven track record delivering complex application and platform modernisation programmes. Strong hands-on AWS architecture experience, including cloud-native application design and infrastructure considerations. Broad technical experience across web platforms, APIs, microservices and distributed systems. Experience architecting high-volume, business-critical, customer-facing platforms. Strong understanding of modern application architectures, integration patterns and service-oriented design. Experience assessing complex legacy environments and defining incremental modernisation strategies; building a holistic understanding of the technical landscape with its interdependencies, caveats and historical variety of approaches Ability to translate architectural recommendations into executable engineering work packages. Experience leading technical discovery and solution design in environments where requirements are initially ambiguous. Experience providing architectural leadership to distributed engineering teams. Strong stakeholder management skills, including experience engaging with CTOs and senior engineering leaders. Commercial awareness, including experience supporting technical estimation and delivery planning. Experience in travel, transportation, e-commerce or other high-volume transactional environments. Experience with search-intensive platforms, including distributed search architectures. Familiarity with AWS services supporting compute, containers, networking, databases, messaging, and observability. Experience with infrastructure as code, CI/CD and modern DevOps practices. Experience with CMS modernisation and headless web architectures. Knowledge of commerce, identity, payment and fulfilment architectures. Experience with event-driven systems and real-time data processing. AWS Solutions Architect Professional certification or equivalent demonstrable experience. Familiarity with AI-assisted software development and emerging agentic engineering practices. Experience working in technology consulting or professional services environments.

Location: US: Washington Remote Worker; US: San Mateo (1875 South Grant Street) Workplace: Hybrid ABOUT THE ROLE Millions of small businesses and their advisors use Xero reports and insights to decide what to do next. AI is changing how people understand their finances faster than any shift since the cloud, and Reporting & Insights is where Xero meets that change. Over the next few years we’re evolving reporting and insights for the agentic era, where customers ask an AI about their numbers as often as they open a Balance Sheet. As the senior technical leader for Reporting & Insights, you’ll set the multi-year technical direction, from the reports businesses file to the insights that tell them what to do next. You’ll also help hire the first Reporting & Insights engineers in Vancouver and decide how they work. THE TECHNICAL CHALLENGES Set a 3-year architecture across Reporting & Insights. Reporting and Xero Analytics run on a mix of modern services and systems that have grown with Xero over many years. You’ll define one target state across both, decide how they build on Xero’s data platform, and secure the investment to get there. You’ll design for high throughput, low latency and resilience, so reporting and insights scale with Xero’s largest and most complex customers. Evolve the platform without breaking trust. Accountants file tax returns from these numbers, so correctness comes first. You’ll lead the evolution of the data foundations behind about 150 reports, sequenced across teams and organisational boundaries. Customers keep the numbers they trust, on foundations built for what comes next. Make reporting and insights AI-native. AI changes what reporting and insights can be: answers to plain-language questions, insights that reach customers where they work, and analysis that once took an accountant hours. Every answer still has to reconcile to the ledger. You’ll define the foundations: how agents query financial data safely, how answers stay grounded and explainable, and how we prove correctness at scale. We want teams across Xero to build on what you create. IMPACT In your first six months you’ll own the Reporting & Insights architecture and set a direction for the data platform and the evolution of both products that engineering, Product and leadership back. At twelve months you will have: - Set a multi-year technical strategy for Reporting & Insights - Delivered new foundations for the first major report families, setting Reporting & Insights up for its next phase of growth - Opened Reporting & Insights to bigger businesses, with performance that scales to our largest customers - Put shared foundations for AI-native reporting and insights into production - Grown the Lead and Senior Engineers around you and raised the technical bar across the group Beyond year one, you’ll shape where Reporting & Insights goes next, and help steer Xero’s wider data and AI direction alongside the leadership team. OWNERSHIP You’re the senior technical voice for Reporting & Insights. You own the multi-year technical strategy and target architecture, and you make the calls that cross team and domain boundaries. You shape the roadmap with the GM and Product, decide where we invest in foundational capabilities, and align teams across regions behind one direction. You stay hands-on where it counts: reference implementations, foundational frameworks and the hardest architecture problems WHO YOU’LL WORK WITH You’ll report to the GM of Engineering. You’ll partner with the engineering managers and teams across Reporting & Insights, who know these products and their data in depth. You’ll shape the product and AI roadmap with the Reporting & Insights Product leads. You’ll also work with Principal Engineers and platform teams across Xero, including the accounting core and data platform teams that own systems we depend on. WHAT YOU BRING Must-have: - You’ve set technical strategy for a domain or portfolio over a 2 to 3 year horizon, and aligned multiple teams behind it. - You’ve led the evolution of a large, high-traffic, correctness-critical system across organisational boundaries. - You have depth in high-throughput, low-latency, resilient distributed systems and data-heavy architecture, and you still contribute hands-on where it matters. - You connect external shifts, AI above all, to product and architecture strategy, and you know where LLMs and agents belong in a system. - You grow leaders. You’ve mentored Lead and Senior Engineers into bigger roles, and your writing turns complex direction into decisions people act on. Nice to have: - Financial, reporting or analytics domain experience - LLM or agent-based features in production - .NET and AWS - A presence in the wider tech community through talks, writing or open source HOW WE WORK We’re bold in our vision and pragmatic in execution, delivering useful improvements along the way rather than waiting for a large rewrite. We invest in AI to learn faster and focus effort on higher-value problems, while engineers stay accountable for what they ship. We use shared frameworks to avoid reinvention, leaving teams room to innovate. Engineers own their work, including quality, reliability, and on-call. Leaders set context and priorities, and engineers help shape the solutions. WHERE WE WORK We offer a hybrid model that blends the flexibility of working from home with the collaboration of the office, including designated boost days in our modern office spaces. This role is open to hybrid candidates in Vancouver, British Columbia, or San Mateo, California. We also welcome applications from candidates across Canada interested in relocating to Vancouver, and from remote candidates in Seattle, Washington. OUR HIRING PROCESS 1. TX phone screen (45 minutes): a conversation with your Talent Specialist about your background, motivations and the role. 2. Technical assessments: a coding assessment and a systems design assessment, run through an independent third-party provider and based on real-world scenarios. 3. Technical deep dive (45–60 minutes): with a Principal Engineer and the hiring team. You'll walk through a past project you led, covering how you thought about it, executed it and led through its complexity. 4. Values / Future Proof Xero (45 minutes): how you show up day to day, aligned with Xero's values and capabilities such as adaptability, ownership, customer thinking and AI fluency. 5. LEADership (45–60 minutes): real examples of how you lead, influence and deliver in ambiguous, fast-changing environments, assessed against Xero's leadership principles COMPENSATION & TOTAL REWARDS At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheque. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The expected base salary range for this role in: - Washington, WA & San Mateo, CA: $287,000 - $320,000 USD Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ page   Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE The Products Team at Docker is looking for a Principal Product Manager for our core Sandbox platform. You will own and drive an investment and product area from high-level concept design to delivery and operation. You will help shape the future of a key area of Docker. You will work closely with developers inside and outside of Docker, our customers, as well as our partners to expand our open ecosystem offering and provide value. As the company and ecosystem grows, you will help to foster teams eager to continuously build, measure, and learn. To thrive in this role, you’ll need experience working with developers and a technical knowledge of developer tools. You’ll need to know how to work with the developer community and understand the lifecycle of software development, the software supply chain and how AI agents are safely orchestrated and deployed with sandboxes. You’ll need a relentless drive to try new things, and an eye for detail. Your long-term success will depend on your ability to own the product roadmap and collaborate with the developer community, and scale our services. Most importantly, you’ll need to be okay with taking ownership of big objectives with big goals, working with a cross-functional team, and maintaining a bias for action. _______________________________________________________________________ RESPONSIBILITIES - You own a product area, the long-term vision, the roadmap, the revenue, and the results. - You believe in and can articulate succinctly, our customers and their pain points. You empathize and understand the world they live in and the constraints they work through. - You will engage deeply with developers and find amazing solutions that solve today's problems while optimizing for tomorrow's vision. - You enjoy building products that are easy to adopt and use. You have a keen design sensibility, and you are always looking for ways to improve the usability of your products. - You are comfortable with ambiguity and will guide product definition, feature prioritization, and scope, in concert with cross functional teams. - You’re a fan of iterative development, working with our customers as well as cross-functional teams to hypothesize, measure impact, and learn from previous releases to iterate on future roadmap plans. _______________________________________________________________________ QUALIFICATIONS - You have deep empathy for the needs of developers and are obsessed with talking to your users. - You have created and deployed AI agents at scale and dealt with all the challenges and pain points of such tasks - You are comfortable interacting with a command-line interface. - You have experience building B2B, SaaS or have a background in Public Cloud - You have experience working with tools in the software supply chain and/or software security - You can break down complex technical problems into small, release-able, user valuable features. - You can explain complex ideas simply and communicate across diverse stakeholders. - You have effective written, verbal, and visual communication skills. - You can analyze data, both qualitative and quantitative, to inform decision making. - You have a collaborative approach and ability to work with fast moving, distributed, cross-functional teams. - You have experience running products at various stages of maturity, from legacy to greenfield. - You are a doer as well as a strategist. We are small and need all hands on deck. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Get to know Docker! Vision, mission, values - Understand the team and business unit’s mission - Meet the team along with peers across the business unit and company - Work closely with designers, researchers and engineers to get to know our user’s needs and current pain points. - Work with your Manager and team to review and create quarterly goals - Understand your product’s roadmap and what data is available to make data driven decisions FIRST 90 DAYS - Understand the company’s and business unit’s product vision and how it relates to your team’s objectives - Provide clarity of product vision to your team and how your team contributes to the overall success of the company and business unit - Develop deep understanding of our developers and customers and why they love Docker - Shape your team roadmap and vision in close collaboration with design and engineering peers. - Lead the definition of the team OKRs for the quarter and provide progress reports ONE YEAR OUTLOOK - Lead product initiatives across cross-functional teams to create value for our users - Drive the long term direction of your product including contributions to ARR Visa sponsorship: Not available for this role. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $280,000 – $300,000 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco, CA or Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE The Products Team at Docker is looking for a Principal Product Manager for our core Sandbox platform. You will own and drive an investment and product area from high-level concept design to delivery and operation. You will help shape the future of a key area of Docker. You will work closely with developers inside and outside of Docker, our customers, as well as our partners to expand our open ecosystem offering and provide value. As the company and ecosystem grows, you will help to foster teams eager to continuously build, measure, and learn. To thrive in this role, you’ll need experience working with developers and a technical knowledge of developer tools. You’ll need to know how to work with the developer community and understand the lifecycle of software development, the software supply chain and how AI agents are safely orchestrated and deployed with sandboxes. You’ll need a relentless drive to try new things, and an eye for detail. Your long-term success will depend on your ability to own the product roadmap and collaborate with the developer community, and scale our services. Most importantly, you’ll need to be okay with taking ownership of big objectives with big goals, working with a cross-functional team, and maintaining a bias for action. _______________________________________________________________________   RESPONSIBILITIES - You own a product area, the long-term vision, the roadmap, the revenue, and the results. - You believe in and can articulate succinctly, our customers and their pain points. You empathize and understand the world they live in and the constraints they work through. - You will engage deeply with developers and find amazing solutions that solve today's problems while optimizing for tomorrow's vision. - You enjoy building products that are easy to adopt and use. You have a keen design sensibility, and you are always looking for ways to improve the usability of your products. - You are comfortable with ambiguity and will guide product definition, feature prioritization, and scope, in concert with cross functional teams. - You’re a fan of iterative development, working with our customers as well as cross-functional teams to hypothesize, measure impact, and learn from previous releases to iterate on future roadmap plans. _______________________________________________________________________   QUALIFICATIONS - You have deep empathy for the needs of developers and are obsessed with talking to your users. - You have created and deployed AI agents at scale and dealt with all the challenges and pain points of such tasks - You are comfortable interacting with a command-line interface. - You have experience building B2B, SaaS or have a background in Public Cloud - You have experience working with tools in the software supply chain and/or software security - You can break down complex technical problems into small, release-able, user valuable features. - You can explain complex ideas simply and communicate across diverse stakeholders. - You have effective written, verbal, and visual communication skills. - You can analyze data, both qualitative and quantitative, to inform decision making. - You have a collaborative approach and ability to work with fast moving, distributed, cross-functional teams. - You have experience running products at various stages of maturity, from legacy to greenfield. - You are a doer as well as a strategist. We are small and need all hands on deck. _______________________________________________________________________   WHAT TO EXPECT FIRST 30 DAYS - Get to know Docker! Vision, mission, values - Understand the team and business unit’s mission - Meet the team along with peers across the business unit and company - Work closely with designers, researchers and engineers to get to know our user’s needs and current pain points. - Work with your Manager and team to review and create quarterly goals - Understand your product’s roadmap and what data is available to make data driven decisions FIRST 90 DAYS - Understand the company’s and business unit’s product vision and how it relates to your team’s objectives - Provide clarity of product vision to your team and how your team contributes to the overall success of the company and business unit - Develop deep understanding of our developers and customers and why they love Docker - Shape your team roadmap and vision in close collaboration with design and engineering peers. - Lead the definition of the team OKRs for the quarter and provide progress reports ONE YEAR OUTLOOK - Lead product initiatives across cross-functional teams to create value for our users - Drive the long term direction of your product including contributions to ARR   Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $280,000 – $300,000 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role We are looking for a Principal Engineer to help define and drive the next generation of GitLab’s Fulfillment platform. Fulfillment ensures that customers receive the right product access and can manage seats, usage, and spend across GitLab.com, Self-Managed, Dedicated, and other deployment models. Its core areas include entitlements, licensing and provisioning, seat management, usage visibility, and cost management. The existing platform has served GitLab for approximately a decade and now faces significant challenges in scale, maintainability, and architectural complexity. This role will help us understand where we are today and define how Fulfillment should work over the next ten years. This is a senior player-coach role. You will set architectural direction across the Fulfillment portfolio, make critical technical decisions, and work directly with teams to execute the resulting modernization strategy. You will influence across organizational boundaries while remaining hands-on in design, implementation, technical problem-solving, and mentorship. What you’ll do Define and communicate the long-term architecture and technical strategy for Fulfillment, including target state, principles, priorities, and migration sequencing. Assess the current platform and address its most important risks across scale, reliability, performance, data correctness, operability, and maintainability. Drive architectural decisions across entitlements, provisioning, seat management, usage visibility, and cost management. Establish clear service boundaries, data ownership, contracts, and integration patterns across Fulfillment, Monetization, billing, Salesforce, and product services. Lead an incremental modernization program that improves the existing platform while continuing to deliver customer and business value. Partner with Engineering Managers, Product Management, and cross-functional stakeholders to turn architectural direction into executable roadmaps and shipped outcomes. Be hands-on with the hardest problems, including prototypes, critical implementations, migrations, performance improvements, reliability work, and incident learning. Champion practical artificial intelligence (AI) adoption across Fulfillment, including agentic coding and AI-assisted engineering workflows, and help teams apply these tools responsibly and effectively. Mentor and coach Senior and Staff Engineers and raise the quality of technical decision-making across the organization. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring 10+ years of professional software engineering experience, including substantial experience at Staff, Principal, or equivalent technical leadership level. Direct experience building, operating, or modernizing Fulfillment systems, including areas such as entitlements, licensing, provisioning, subscription lifecycle, seat management, usage metering, usage billing, or cost controls. A track record of setting technical direction across multiple teams and turning architecture into reliable, operated systems. Deep experience with distributed systems, scalability, availability, performance, observability, data integrity, and failure-mode analysis. Comfort working in one or more of Ruby, Go, and Python, with the ability to navigate both Backend and Frontend in a polyglot system. Practical experience using artificial intelligence in software engineering, including agentic coding or AI-assisted development workflows. Demonstrated success modernizing mature or degraded platforms without relying on a risky “big bang” rewrite. Experience designing systems that span multiple deployment models, such as software as a service, Self-Managed, Dedicated, or disconnected environments. Strong product and business judgment, with the ability to connect technical investment to customer experience, revenue, operational efficiency, risk reduction, and time to market. Excellent written communication and the ability to influence senior stakeholders across teams without formal authority. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $223,000 — $317,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Задачи: — Владение стратегией продукта, дорожной картой и выполнением интеграций ClickHouse с облачными стратегическими партнерами. — Поиск возможностей для совместных инноваций с партнерами. — Определение и реализация интеграций "лучше вместе" с каждым стратегическим партнером от совместной дорожной карты до запуска. — Управление компромиссами встраиваемых интеграций: биллинг и учёт, идентификация и аутентификация, безопасность и локализация данных, координация между командами ClickHouse и партнёров. — Проектное управление сложными многоорганизационными запусками: листинги на маркетплейсах, процессы сертификации, совместный маркетинг с партнерами, сроки общего доступа. — Владение техническими стандартами и критериями сертификации интеграций в рамках программы House Mates. — Измерение и коммуникация бизнес-эффекта совместных инноваций, принятия продукта и стратегии руководству. — Представление ClickHouse на внешних мероприятиях и в совместном контенте. Требования: — Опыт выпуска интеграций в сторонние платформы: маркетплейсы гипермасштабируемых облаков, встроенные или нативные интеграции, партнерства ISV или OEM/white-label. — Понимание компромиссов, влияющих на интеграции (биллинг, аутентификация, безопасность, межкомандные зависимости) и опыт принятия таких решений. — Сильные навыки управления проектами и опыт запуска, зависящего от нескольких команд и компаний. — Терпение и настойчивость в работе с партнерами с разными приоритетами, умение находить креативные решения для продвижения. — Техническая компетентность для понимания интеграции от начала до конца, включая provisioning, аутентификацию, биллинг и поток данных, способность вести технические разговоры с инженерами. — Энергия и интерес к внешней работе: звонки с партнерами, общение с клиентами, публичное представление продукта. — Практический, ответственный подход: написание спецификаций, проведение звонков с партнерами, внимание к деталям. — Комфорт в условиях неопределенности и быстроменяющейся среды. Преимущества: — Опыт создания интеграций с гипермасштабируемыми облаками и современными технологическими компаниями. — Опыт управления или поддержки программы технологических партнеров. — Опыт работы в компаниях баз данных или инфраструктуры данных. — Знакомство с ClickHouse или аналогами (Snowflake, BigQuery, Databricks). — Опыт работы в удаленных, мультивременных зонах. Условия: — Гибкая рабочая среда, удалённая работа. — Взносы работодателя на медицинское страхование. — Опционы на акции компании для новых сотрудников. — Гибкий отпуск в США, щедрые условия в других странах. — Помощь в организации домашнего офиса (500 USD). — Возможности участия в глобальных встречах и оффсайтах.

💎 Формировать продуктовое видение и целевой пользовательский опыт на горизонте 1–3 лет, переводить размытые продуктовые проблемы в проверяемые сценарии и гипотезы. Вести сложные сквозные сценарии включая крайние случаи, собирать прототипы и снимать риски до начала реализации, делать ревью для других дизайнеров.

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $136M ARR and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Principal SRE to join our team! About the Role We are seeking a Principal Site Reliability Engineer (SRE) to help ensure the stability, scalability, and reliability of our production systems. The ideal candidate will have extensive experience collaborating in cross functional teams to manage the design, implementation and ongoing management of the Backblaze core infrastructure. You will be approved to demonstrate strong observability skills, process and service improvement and ability to leverage AI and automation to assist to mitigate issues faster and meet customer demand.. As a technical leader in Backblaze you will be expected to work across the organisation to achieve our goals. This will include working with our executives and customers. The role will focus long term strategic focus on platform stability. Key Responsibilities Service Reliability & Operations Own the availability and durability of critical services across production environments and accountability for outcomes. Ability to work independently, take ownership, and drive projects from problem discovery through resolution. Assist and advise on the design of service health metrics using SLIs, SLOs, and error budgets, and escalate issues when thresholds are at risk; partner with service owners to define/iterate SLIs/SLOs and establish error budget policies and alerting. Participate in leadership on-call rotations, incident response, and post-incident reviews to drive service improvements. Follow established ITIL/OSS processes (incident, change, problem, and capacity management). Architect and Design Design automation for common operational tasks, reducing manual intervention and toil. Collaborate with engineering on overall storage design, performance expectation against product SLAs. Define the monitoring, logging, and alerting frameworks (e.g., Prometheus, Grafana, Catchpoint, ELK), and help integrate runbooks with FireHydrant. Work with CI/CD pipelines, configuration management, and infrastructure as code tools (Terraform, Ansible, Jenkins). Write scripts (Bash, Python, Go, etc.) to improve system reliability and efficiency. Collaboration Partner with engineering, customer success, product, and operations teams to support resilient system design and operations. Work with customers to ensure stability prioritization is based around their needs and experiences in using Backblaze products. Work with vendors and service providers to troubleshoot service issues and track SLA performance. Document systems, share learnings, and help grow a reliability-minded engineering culture. Continuous Improvement Lead cross functional teams to identify gaps in observability, operations process and define overall prioritization strategy. Identify recurring issues and propose long-term improvements, and design action plans around implementing those improvements. Promote reliability-focused practices within development and operations teams. Qualifications Education & Experience Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). 10+ years of experience in site reliability, systems engineering, or operations, experience with hyperscalers preferred. Exposure to large-scale, production-grade systems, including experience establishing operational procedures or runbooks and bringing others up to speed on them. Technical Skills Solid Linux systems administration and troubleshooting skills. Proven ability to leverage AI tools to improve platform stability and scalability. Knowledge of storage systems, performance, sharding and storage algorithms. Experience in load balancing services including IPVS. Security-minded operations (patching, hardening, identifying vulnerabilities). Familiarity with service reliability concepts — monitoring, alerting, incident response, and root cause analysis. Proficiency in at least one scripting language (Python, Bash, or Go). Experience working with containers (Kubernetes, Docker) and microservices concepts required; comfortable operating in a Kubernetes/Vitess-on-K8s environment (kubectl, mysqlsh, Vitess keyspaces). Experience with Hashicorp products (Nomad, Vault, Terraform). Preferred Attributes Experience in a SaaS, service provider, or distributed systems environment. Familiarity with ITIL/OSS practices and SLO/SLA’s. Strong problem-solving skills and willingness to learn new technologies. Experience with cloud platforms (AWS, GCP, or Azure). Backblaze Perks Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work, plus a generous stipend to personalize your workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance Pay Transparency To provide greater transparency to candidates, we share pay ranges for all US-based job postings regardless of state. Final offer amounts are determined by multiple factors including candidate location, skills, depth of work experience, and relevant licenses/credentials. The pay range for this position is $215,000 to $250,000 per year. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Lambda is looking for a Principal Product Manager Nvidia Technology Partnerships to guide NVIDIA technology adoption, lead joint product programs, and launch products.

Location: Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Germany Job Description: Our Client, a Data & AI strategy and implementation firm is looking for a Senior/Principal Consultant to join their team. This role is key in the technical delivery of high-quality data management solutions for our customers. The Senior Consultant will work directly with clients, leading them through discovery, supporting design and implementation of scalable solutions. This position represents a combination of technical expertise, and ability to interact with customers, ensuring that solutions meet business requirements and deliver strategic value. Expertise in Master Data Management, Data Quality and Data Governance best practices from architectural and functional perspective is of key importance for this role, as well as hands-on experience in configuration of data management products, educating and providing guidance to clients. What You Will Do: Advisory Communicate with business and technical stakeholders to gather requirements, business needs, and strategic objectives Educate stakeholders on technical and functional capabilities of the implemented software platforms, share best practices and drive decision making process Prepare and conduct discovery workshops on specific topics to business and technical stakeholders Map business requirements to technical capabilities, help to adjust customer expectations and support them with recommendations Translate technical information appropriately to different levels of the client organization. Solution Design and Documentation Document requirements, user stories and test plans Develop and document design for solution features including data models, quality, data access rules, workflows and user interfaces and data integration mappings Development and configuration leadership Configure the most critical components of the solution Validate development done by other team members, develop testing and deployment plans Provide oversight during development/configuration activities, testing and production deployment to the rest of the project team, developers and consultants. Pre-Sales Support Prepare customer presentations, proofs of concept, visual materials, and other tools for client presentations for business development purposes Contribute to proposal and statement of work documentation by defining and defending needed scope of work, project approach and effort. Who You Are: Advanced German and English speaker Highly focused on detail and results, with the ability to work with minimal supervision. Demonstrated ability to build relationships with multinational technical team members Advice and guide customer, demonstrate technical expertise and functional knowledge Proactive identifier and communicator of technical risks Demonstrated interest and ability to identify and assist in the sale of new project opportunities Confident to tackle new business or technical challenges. Disciplined curiosity: interest in asking "why" and synthesizing important findings into alternatives and recommendations Excellent oral and written communicator Able to travel to customer locations as needed What You Bring: More than 4 years of experience in the implementation of data management solutions or data management modules of enterprise grade ERP/CRM systems. Preferably - Master Data Management solution implementation using one of the following technologies: Informatica MDM, Stibo Step, Reltio, SAP MDG, TIBCO / Orchestra Experience as a Configuration Specialist and Functonal Consultant Experience driving discovery and design workshop, advisory meetings Experience in SQL development, Java Script and REST API development Experience in data modeling in both customer and product/material data domains Experience in data platforms and analytics (Databricks, Snowflake, etc.) Knowledge of data governance principles and frameworks Experience in integration/migration SAP ERP (ECC and S/4 Hana) Deep understanding of use cases for one or many industries What We Offer: Fast Track to Solution Architect / Managing consultant in growing regional organization Customers are Fortune 500 corporate environments, and project work can occur in groups at customer sites or remotely in small teams.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

You will take an agent surface from operational research through specification, prototype, evaluation, and enterprise deployment, working hands-on throughout. Agent definition.

Location: Europe; Portugal; France; United Kingdom; Spain; Israel; The Netherlands 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.