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Location: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We are looking for Render's first Forward Deployed Engineer to work hands-on with our most strategic customers. Our largest contracts and fastest-growing AI startups are scaling on Render, and this role provides them with a dedicated, concierge-level technical partnership. You will balance two motions: white-glove engagement with our top accounts, where you work closely with the customer's engineering team as a trusted technical partner, and scoped onboarding intensives that get high-growth startups confidently building on the platform. As the first FDE in our Field Engineering organization, you will define the playbook for this function, prove the model, and shape how it scales. WHAT YOU'LL DO - Work closely with Render's top accounts as their dedicated technical partner, providing concierge service across architecture reviews, migration planning, and hands-on delivery. - Run scoped onboarding intensives for high-growth startups, from intake and success criteria through hands-on-keyboard execution. - Lead the database side of customer engagements, including Postgres architecture, performance tuning, and complex data migrations from Heroku, AWS, and other cloud providers. - Drive activation and expansion in strategic accounts: turn major credit grants into durable production adoption, surface expansion signals from your technical work, and partner with the account team to convert them into revenue. - Own the ongoing technical relationship for your accounts: proactive architecture and health reviews, collaborative roadmap sessions, incident follow-up and RCA, and escalation point for hard technical problems, working closely with the account team. - Build the FDE playbook: qualification criteria, engagement templates, success metrics, and reference architectures that make the program repeatable. - Act as a high-signal feedback channel to product and engineering, translating customer friction into prioritized product input. - Partner with Account Managers and Customer Engineers to ensure smooth handoffs after each engagement and durable long-term coverage. WHAT WE'RE LOOKING FOR - 8+ years in a hands-on, customer-facing engineering role: forward deployed, solutions, customer, or professional services engineering. - Strong software engineering fundamentals; you can write production-quality code and work hands-on-keyboard inside a customer's codebase. - Deep experience with cloud infrastructure: containers, CI/CD, networking, autoscaling, and running real workloads in production. - Deep Postgres and database expertise: schema design, performance tuning, replication, and production data migrations. Our largest engagements consistently turn on this skill set. - AI fluency: you work with AI tools daily to accelerate your own delivery, and you understand LLM application architectures well enough to guide the teams building them. - Excellent communication with everyone from startup founders to enterprise platform teams, including executive-level conversations. - Self-directed and comfortable with ambiguity; you can stand up a new function without an existing playbook. - Commercial instincts: you understand how technical wins connect to expansion, renewal, and revenue. NICE-TO-HAVES - Migration experience from Heroku, AWS, or other clouds onto modern platforms. - Hands-on experience shipping AI and LLM applications (RAG pipelines, agent frameworks, inference workloads); many of our fastest-growing accounts are AI-native. - Prior experience as the first hire in a role or a founding member of a new program. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role Vercel is hiring a Strategic Product Partnerships Lead to develop first-of-a-kind partnerships that inflect the company's growth. Done well, these partnerships open distribution for our products, create new pipeline for our field teams, and/or add new capabilities to our platform. This is a highly cross-functional and technical role: you will spend as much time with product and engineering leaders as with commercial ones, internally and externally. You will report to the Head of Strategic Partnerships and own a named set of partners that includes hyperscalers, frontier AI labs, silicon vendors, and commerce and enterprise software platforms. The work takes a different shape with each one, but the common thread is that these partnerships live close to the product: embedding Vercel inside a partner's platform, co-building new products, taking a joint offering to enterprises that neither company could sell alone. This is a hybrid position, requiring 3 days per week (Monday, Tuesday, Friday) in one of our San Francisco, Austin, or New York City offices. What you'll do Own a named set of strategic partners end to end, from first conversation through signed agreement to launch and growth Identify and develop new partnerships with the companies that matter most to Vercel's strategy across AI, cloud, commerce, and enterprise software Build the business case: size the opportunity, scope the product and engineering investment it requires, and give leadership a clear recommendation, including when the recommendation is to pass Lead negotiations end to end, structuring commercial agreements that are new to Vercel and often new to the partner: revenue share, embedded pricing, co-sell commitments, marketplace terms Lead cross-functional teams across Product, Engineering, Sales, Marketing, Finance, and Legal to take a signed agreement to launch Run deals with structure: clear milestones, agreed measures of success on both sides, and the judgment to stop the ones that are not working What you need 8+ years developing, negotiating, and executing complex commercial agreements, ideally at a platform, infrastructure, cloud, or developer tools company A track record of initiating partnerships that had no precedent, with companies significantly larger than your own. You can walk through the terms you won and the ones you gave up Experience structuring deals with significant technical surface area: platform integrations, embedded or whitelabeled product, licensing, infrastructure and compute commitments. You can hold a credible conversation with a partner's product and engineering teams about agents, inference, model routing, and cloud infrastructure Experience creating and driving strategy, and getting an organization to fund it Comfortable leading cross-functional teams you do not manage, through Product, Engineering, Legal, Finance, and Sales Strong agency and comfort with ambiguity. You decide what to work on and can defend the choice Excellent written and verbal communication with executives on both sides of the table Bonus if you Have done partnerships at or with a hyperscaler, a frontier AI lab, or a large commerce or enterprise software platform Have structured technology licensing, OEM, or embedded distribution agreements Started in a technical role (engineering, solutions architecture, or technical product) before moving into commercial work Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA salary range for this role is $194,000 - $237,000, plus an annual company target bonus. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Remote-Friendly (Travel Required) | Canada About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Transaction Manager for Canada at Anthropic, you'll drive the commercial sourcing and transaction execution process for our Canadian data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. Responsibilities: Help identify data center capacity opportunities and options through management of network relationships across data center developer, broker, and power contacts. Lead the RFP and commercial sourcing process for Canadian data center deals, managing developer outreach, proposal evaluation, and competitive selection across multiple markets Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure Serve as project manager for cross-functional stakeholder engagement, coordinating due diligence teams, internal and external legal counsel, network organization, platform Act as the single point of contact (SPOC) for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing process status Develop and maintain transaction timelines, tracking critical path items and proactively identifying risks that could impact deal closure Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms -Manage complex digital infrastructure development activities to a construction ready state, through a developer or directly Marry the right projects, capital stacks and developers at the right stages Support the development of the long term data center supply strategy You may be a good fit if you: Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions Demonstrate exceptional communication skills, able to serve as an effective liaison between internal stakeholders and external partners Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution Have a collaborative mindset and can build trust with diverse stakeholder groups across the organization Expert in the Canadian Leasing Compute space It's a bonus if you: Have experience with data center or hyperscale infrastructure transactions specifically Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity Have worked with legal teams on complex lease negotiations or infrastructure agreements Possess familiarity with data center developer ecosystems and market dynamics Have experience in high-growth technology companies managing infrastructure expansion Understand utility coordination, power procurement, or energy considerations in data center transactions Have a background in corporate development, strategic partnerships, or infrastructure investment Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE The Head of Strategic Partnerships & Ecosystem will manage and grow Render's most critical technology partner relationships. This role involves building and executing a comprehensive partnerships strategy — spanning AI ecosystem integrations, hyperscalers and early bets on emerging platforms — that drives meaningful distribution and growth for Render. These partnerships touch nearly every part of Render — Product, Engineering, DevRel, and Business Development — and often involve senior stakeholders at some of the largest and fastest-moving companies in AI, so doing this well means coordinating closely across those internal teams and keeping Render's leadership regularly informed. The ideal candidate brings real technical depth in AI and developer tooling, paired with a proven background in partner management, strong relationship-building instincts, and the executive presence to engage with partner leadership at the highest levels. You should have a deep understanding of how to build and scale product-centric partnerships — from ecosystem integrations to platform-level bets — in a fast-moving, technical market. WHAT YOU'LL DO - Map Render's technology partnership landscape across AI labs, hyperscalers, and emerging developer products, and build the strategy for where Render has the strongest right to win. - Own outcomes for the partnerships portfolio — set clear milestones, timelines, and success metrics (e.g., ecosystem integration, developer adoption, joint launches, revenue impact) and hold yourself accountable to them. - Drive day-to-day partnership strategy and execution, taking deals from evaluation through negotiation, launch, and renewal, including commercial terms. - Partner closely with Product, DevRel, and Product Marketing to secure roadmap and staffing commitments, drive integration execution, and run co-marketing — and work with Finance and Legal to structure and manage commercial agreements. - Scope and lead our thinking on building out a Render Marketplace — including the value proposition to customers and key partners, product and engineering requirements, and commercial and financial terms. - Own ongoing relationship management for key partners — acting as their primary point of contact, running business reviews and planning sessions, driving expansion and renewal over time, and serving as their internal advocate at Render. - Bring operating rigor to the program: track and report on partnership performance, maintain clear documentation, and keep leadership updated on progress and upcoming launches. - Build out a team of partner managers as we scale. WHAT WE'RE LOOKING FOR - 6–10+ years of experience in strategic or technical partnerships, business development, or product-facing roles at technology companies — ideally where partnerships were critical during a period of hypergrowth. - A highly technical background is strongly preferred — former PM, forward-deployed engineer, or engineering experience, particularly within AI — so you can go deep with partner engineering and product teams on integration architecture, connectors, and protocols. - Demonstrated success managing and growing complex, high-impact partnerships across AI, cloud, or developer platform ecosystems. - Strong cross-functional operating skills, with experience working alongside Product, Engineering, DevRel, Legal, and Finance to execute complex initiatives. - Exceptional analytical skills, with the ability to use data to drive strategic decisions. - Outstanding communication, negotiation, and relationship-building skills, with the ability to engage at the executive level. - Strong bias for action — comfortable operating both independently and as part of cross-functional teams, in a fast-moving environment with evolving priorities. NICE-TO-HAVES - Hands-on experience with MCP, plugins, connectors, or app/marketplace ecosystems specifically. - Deep familiarity with the developer tools and infrastructure landscape, and a point of view on how emerging AI-native companies find distribution. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE This is a sourcing-first role, not a deal-closing role. Baseten needs someone who can build and maintain deep relationships across the long tail of data center and powered land providers, well beyond the handful of large, well-known players that everyone in the market is already competing for. This coverage area is a key differentiator for Baseten's broader compute strategy, so we're looking for the best possible person in this specific lane rather than a generalist. You'll own the full lifecycle of a sourcing relationship — from first outreach to ongoing management — not just the introduction. WHAT YOU'LL DO - Build and maintain a comprehensive map of data center and powered land opportunities, with a particular focus on the long tail rather than the handful of major, oversubscribed players - Own the full sourcing lifecycle for each relationship — from identifying and reaching out to new providers, through negotiation support, to ongoing relationship management — not just the initial introduction - Develop and manage sourcing relationships across neoclouds, hyperscalers, brokers, and independent operators - Quickly and independently evaluate new sites and spaces to determine fit and priority - Prepare business cases and cost analysis to support new data center and powered land opportunities, partnering with Finance where needed - Maintain accurate records of suppliers, contracts, and commercial terms so the team has a reliable source of truth - Protect Baseten's standing relationships carefully — this role requires real judgment about not burning bridges with the very providers we depend on elsewhere - Feed market intelligence back into the broader Supply team, including regular updates on pricing and market developments, to support deal strategy and prioritization WHAT WE ARE LOOKING FOR - A sourcer at heart, not a dealmaker — someone who thrives on building and maintaining a large network of long-tail relationships rather than closing individual transactions - Strong project management instincts — you own the full lifecycle of a relationship, not just the handshake - Background in neocloud, hyperscaler, or brokerage environments where data center or land sourcing was part of the role - Ability to independently assess and prioritize opportunities without heavy hand-holding - Comfortable with commercial analysis — building business cases, tracking costs, and engaging in contract-level conversations with suppliers - Judgment and discretion in relationship management, given the sensitivity of sourcing from providers Baseten also depends on in other contexts NICE TO HAVE - Existing relationships across the data center and powered land brokerage community - Familiarity with the broader GPU/compute supply landscape and how it intersects with power and site availability - Experience managing supplier contracts or commercial records across multiple vendors or regions BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Ukraine Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: United Kingdom Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Serbia Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Romania Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Portugal Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Poland Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Netherlands Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Belgium Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Belarus Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Global Capacity Manager at Baseten, you will lead the "engine room" of the company, architecting, securing, and optimizing the global GPU fleet that powers our customers' AI workloads. You’ll own the end-to-end journey of capacity management, from securing multi-million dollar GPU clusters to building the automation that ensures 99.9% uptime across multi-cloud environments. This role is a great fit for entrepreneurial engineers who want to bridge the gap between high-finance asset management and deep infrastructure engineering. You will act as the fleet orchestrator for the world's most advanced chips, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics. To be clear, this is a high-stakes engineering role. You will be hands-on with Kubernetes orchestration while also leading specialized pods focused on the next generation of hardware, like NVIDIA’s Blackwell (B200) architecture. EXAMPLE INITIATIVES - The B200 Frontier: Architecting the infrastructure readiness and deployment strategy for Baseten's first Blackwell GPU clusters. Global Workload Orchestration: Building "Multi-cloud Capacity Management" systems to move customer workloads seamlessly across regions to optimize cost and latency. - Precision GPU Triage: Developing automated Go-based operators to identify, cordon, and repair unhealthy H100 nodes in under an hour. - The Supply Chain of Intelligence: Partnering with leadership to secure and reserve dedicated capacity for Baseten’s largest enterprise customers. RESPONSIBILITIES - Lead Specialized Pods: Act as the lead for specific GPU pods (e.g., H100 or B200), managing the full lifecycle of acquisition, air traffic control, and maintenance for those assets. - Advanced Orchestration: Execute complex workload migrations and "sticky" deployment drains, ensuring deployment scheduling rules meet strict regional and compliance requirements. - Build for Scalability: Design and implement the "next version" of Baseten’s capacity management system to handle a 10x increase in GPU volume. Financial Modeling: Leverage your understanding of unit economics to build ROI models for GPU spend, ensuring Baseten scales profitably. - Cross-Team Collaboration: Partner with SRE, Infra, and FDE teams to take discrete operational tasks off their plate and verify "last mile" follow-through on infrastructure changes. - Incident Response: Lead capacity-crunch response by rapidly untainting and re- coordinating workloads during high-pressure outages. REQUIREMENTS - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field - 5+ years of professional work experience in a high-growth environment, preferably at a hyperscaler (GCP, AWS, Azure) or a specialized GPU provider - Deep expertise in Kubernetes, including hands-on experience with taints, cordons, node draining, and custom operators - Demonstrated experience with Go or Python in a production-level environment Strong financial literacy and the ability to model complex trade-offs between capacity reliability and cost - High tenacity and collaborative mindset BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for a hands-on Operations Manager to own the operational and analytical supply side of our GPU fleet. Key focus areas: GPU fleet lifecycle, health, observability, utilization monitoring, and remediation across our neocloud and bare metal environments. We contract for a fixed amount of compute capacity. GPUs drift from healthy to unhealthy over time, and this role minimizes that downtime to keep the maximum number of GPUs healthy at any given moment. This is an operator role, not people management. You'll drive execution through clear processes, metrics, reporting, vendor coordination, and cross-functional alignment. RESPONSIBILITIES - Drive suppliers to keep the maximum amount of the GPU fleet online and healthy. - Maintain a live reconciliation of contracted vs. provisioned vs. healthy vs. utilized capacity, broken out by supplier and by cluster maximizing the number of healthy GPUs. - Supplier-attributed fleet health accountability: own replacement SLAs, mean time to repair (MTTR), and RMA cycle times for every in-scope supplier. - SLA monitoring, credit claims, and remedy enforcement: track SLA performance against contract terms, file and pursue credit claims, and drive remediation plans when suppliers fall short. - Drive internal communications where suppliers need to perform maintenance to ensure all Baseten stakeholders are aware of activities that impact availability. Scope and Approach - Flexibility: this list covers the core of the role, not the limit of it. You'll be asked to take on adjacent work as the function evolves and as new gaps surface. - Ownership mindset: we need someone who treats "whatever it takes" as a genuine operating principle, not a line in a job posting. If something falls outside a defined lane but inside the overall goal of closing the capacity gap, it's yours to pick up. REQUIREMENTS - 5 to 10+ years within infrastructure working within the compute lifecycle to maximize functional compute, ideally in a hyperscale, cloud, or large-scale compute environment. - Direct experience managing GPU, server, or data center hardware supplier relationships. You understand fleet health, RMA processes, and how contracted capacity differs from delivered capacity. - Highly analytical. You should be comfortable pulling your own data, building your own reports, and generating insights without waiting on someone else to hand you a dashboard. - Comfortable with ambiguity. Part of the job is figuring out what should exist and building it. - Strong cross-functional collaboration skills. You'll work closely with finance, infrastructure/engineering, legal, and security on a regular basis. NICE TO HAVE - Experience at a hyperscaler, neo cloud provider, or AI infrastructure company - Familiarity with GPU hardware lifecycles (NVIDIA H100/H200/GB200 class systems), power/thermal constraints, and supply chain dynamics for compute. - Experience running formal supplier corrective actions. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Senior Manager, Infrastructure Asset Accounting to join our Infrastructure Accounting team. In this role, you will own the accounting for Anthropic's infrastructure assets across their full lifecycle — from chips, memory, and networking components moving through the supply chain, to the racks, clusters, and data center buildouts underpinning our $50B+ investment in American computing infrastructure. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing fixed asset base is accounted for and understood across the business. You'll work closely with partners across Data Center Operations, Supply Chain, Finance, and Legal, apply deep technical accounting expertise under ASC 360 along with cost accounting judgment on components that behave like inventory, and help build the processes, controls, and systems that let this function scale. Responsibilities Own end-to-end accounting for Anthropic's infrastructure assets through their lifecycle — component cost accumulation, prepayments and deposits, construction-in-progress (CIP), transfer to fixed assets at deployment, and disposal Build and maintain detailed transaction flows that map how assets and costs move from purchase order through shipment, receipt, warehousing, integration, deployment, and in-service, and keep them current as sourcing models change Evaluate the accounting implications of new and non-standard supplier and procurement arrangements and document conclusions in clear technical memos. Apply technical accounting expertise under ASC 360 (capitalization, useful lives, impairment, disposals, and asset retirement obligations), together with cost accounting concepts such as bill-of-materials (BOM) cost accumulation, landed cost, and obsolescence and existence reserves Partner with Supply Chain, Data Center Operations, Legal, and Finance during contract negotiation and execution so that accounting implications are understood before commitments are made Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on Collaborate cross-functionally to improve upstream data pipelines and component tracking, including serial-number-level tracking and existence controls for high-value components, and accurate receipt, deployment, and in-service dates Help design and scale systems, processes, and controls to support a rapidly growing component and fixed asset portfolio Collaborate with and mentor accounting professionals across the Infrastructure Accounting team Serve as a key point of contact with external auditors on supply chain, capex, and fixed asset accounting matters Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting Minimum qualifications Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred Possess strong technical accounting knowledge of ASC 360, particularly as applied to infrastructure, data center, or compute-related assets Have applied experience with cost accounting in a supply chain context — BOM-based costing, landed cost, standard vs. actual, and obsolescence or NRV analysis Have built or maintained end-to-end transaction flows, process maps, or subledger designs that trace assets and costs across systems and lifecycle stages Have evaluated the accounting for non-standard supplier or procurement arrangements and can reach and document a supportable conclusion Have hands-on experience with a significant fixed asset or component portfolio in a high-growth environment Demonstrate strong analytical abilities and comfort working with large, complex datasets Have a track record of improving scalable financial processes in fast-moving environments Have experience mentoring accounting professionals Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders Communicate clearly and influence effectively across cross-functional partners Have experience partnering with supply chain, engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred qualifications 10+ years of progressive experience in accounting, with operational experience at technology, hardware, manufacturing, or infrastructure-heavy companies Experience at hyperscalers, semiconductor companies, hardware OEMs / ODMs, contract manufacturers, or data center operators, with exposure to complex BOM-based assemblies and infrastructure asset structures (including GPU clusters, networking equipment, and data center buildouts) Familiarity with adjacent guidance that often arises in supply chain arrangements, such as ASC 330 (inventory), ASC 842 (embedded leases), and ASC 460 (guarantees) Experience with fixed asset subledger and component / inventory management systems at scale (e.g., NetSuite, Oracle, SAP) SQL proficiency for querying and analyzing large infrastructure and accounting datasets Background in Big 4 accounting or advisory services combined with industry experience Experience with complex data center buildouts or hybrid cloud / on-premise environments Knowledge of AI/ML infrastructure and associated cost structures Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation Proven ability to navigate ambiguity and drive results in rapidly changing environments 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: $190,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Senior Manager, Infrastructure Lease Accounting to join our Infrastructure Accounting team. In this role, you will execute day-to-day accounting for Anthropic's infrastructure lease portfolio — the leased assets underpinning our recently announced $50bn investment in American computing infrastructure. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing lease portfolio is accounted for and understood across the business. You will own end-to-end accounting for Anthropic's infrastructure lease portfolio, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 842, and help build the processes, controls, and systems that let this function scale. Responsibilities Lead end-to-end accounting for one of Anthropic's AI infrastructure lease portfolio, including monthly close, reconciliations, roll-forwards, and flux analysis Apply technical accounting expertise to complex infrastructure arrangements under ASC 842 (lease classification, measurement, modifications, embedded leases, and reassessments) Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems Design and scale systems, processes, and controls to support a rapidly growing lease portfolio Collaborate with and mentor accounting professionals across the Infrastructure Accounting team Serve as a key point of contact with external auditors on lease accounting matters Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting Minimum qualifications Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred Possess strong technical accounting knowledge of ASC 842, particularly as applied to infrastructure, data center, or compute-related arrangements Have experience managing a significant lease portfolio in a high-growth environment Demonstrate strong analytical abilities and comfort working with large, complex datasets Have a track record of improving scalable financial processes in fast-moving environments Have experience mentoring and developing accounting professionals Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders Communicate clearly and influence effectively across cross-functional partners Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred qualifications Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies Experience at hyperscalers, large compute consumers, or data center operators with exposure to infrastructure lease structures (including colocation, dark fiber IRUs, and compute / equipment leases) Experience with lease accounting software at scale SQL proficiency for querying and analyzing large infrastructure and accounting datasets Background in Big 4 accounting or advisory services combined with industry experience Experience with complex data center buildouts or hybrid cloud / on-premise environments Knowledge of AI/ML infrastructure and associated cost structures Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation Proven ability to navigate ambiguity and drive results in rapidly changing environments 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: $190,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.