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Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe is building the economic engine for AI – and it’s working. Today, 88% of the Forbes AI 50 are building on Stripe (and most of the remaining 12% are pre-monetization). The AI GTM team is focused on helping AI-native businesses monetize and scale. We're in a unique position—partnering with the world's most ambitious AI companies (like OpenAI, Anthropic, ElevenLabs, and NVIDIA) to help them grow. This is one of the fastest growing parts of the business, and we need more great people to help us continue to accelerate. What you'll do As a Sales Manager on the AI GTM team at Stripe, you will leverage your sales leadership and product expertise to drive growth through new and existing strategic AI customers. Reporting to the Chief Revenue Officer of AI, you will lead a team of Account Executives responsible for expanding Stripe's relationship with some of the most important AI companies in the world—across payments, billing, and beyond. You will be instrumental in leading in-depth product discussions with customers, developing consultative and solution-based sales strategies, and building deep knowledge of the AI industry and its unique monetization challenges. You will collaborate closely with Product, Marketing, Product Marketing, and User Operations teams to develop and execute against our go-to-market strategy. Responsibilities Develop the long-term vision for a growing AI GTM team and scale day-to-day operations. Lead and manage a team of Account Executives managing existing AI accounts (driving revenue expansion, product attach, and retention) and looking for new business opportunities. Establish strategic plans and objectives to drive growth across the AI GTM business line, guiding execution to KPIs. Build and develop a high-performing team, fostering a strong culture of energized and engaged Stripes while investing in the growth and development of your team. Coach and guide the team in developing consultative and solution-based sales skills throughout the sales cycle. Be accountable for driving revenue, increasing product attach rates, and growing existing clients at high rates. Engage with Product, Marketing, and User Operations teams to influence our product roadmap (you are on the frontier!) and accelerate our growth trajectory for our AI industry users. Serve as both an internal and customer-facing expert on Stripe's products, particularly as they apply to AI-native business models (usage-based billing, marketplace payments, embedded finance, agentic commerce). Build strong relationships with customer executives (CEO, CFO, CTO) and serve as a trusted advisor on how Stripe can support their growth. Create best practices and improve the business and customer engagement model. Who you are Sales leader. You are an adept sales leader, capable of engaging in business-level and technical conversations at multiple levels of the organization. You see value in competitive situations and enjoy working on products that require both deep product understanding and technical knowledge, especially for AI industry users. People developer. You are a strong people leader who builds high-performing teams through coaching, accountability, and culture. You're as comfortable working with clients as with internal stakeholders (including executives) and are excited to become an expert and share your knowledge. You possess an organized, self-starter mindset and excellent communication skills, with a track record for improving the processes and organizations around you. AI enthusiast. You have deep context in the AI industry and are energized by keeping up with new developments in the space. You bring a user-first mindset— you approach every customer interaction as a consultative partner rather than a transactional seller. Technically curious. You understand APIs, webhooks, and modern developer tools—and you can hold credible conversations with engineering leaders about how Stripe's infrastructure fits into their stack. Minimum requirements 8+ years of sales leadership experience, launching and growing high-functioning sales teams/products. 10+ years of experience in hyper-growth SaaS or technology environments across the AMER region. Demonstrated success managing existing/growth customer portfolios and driving revenue expansion. Proven ability to be a self-starter, capable of driving business results without significant supervision. Ability to understand complex technical requirements and craft solutions across multiple stakeholders. Deep understanding of AI industry dynamics, business models, and monetization strategies (usage-based pricing, API-first distribution, agentic commerce). Strong product acumen—ability to learn and articulate complex product capabilities, understand how they work technically, and connect them to user needs. Excellent verbal and written communication skills, including strong presentation skills for in-person meetings with multiple stakeholders. An enthusiastic "roll up your sleeves" mentality. Proven ability to lead complex negotiations involving bespoke agreements with commercial and enterprise businesses. Preferred qualifications Industry experience in payments, financial infrastructure, developer tools, or AI/ML platforms. Existing relationships within the AI ecosystem (AI labs, AI-native SaaS companies, developer platforms). Experience selling complex platform solutions involving multiple products. Prior experience at a growth-stage software company or a leading payments/fintech company. Familiarity with Stripe's product suite and how AI companies leverage financial infrastructure to scale.
Who we are About the team Link is a digital wallet designed for effortless and secure online payments and digital transactions. With Link, consumers enjoy convenience and peace of mind—it works on any device or browser, is backed by the highest security mechanisms, offers purchase protections on eligible items, and ensures seamless and quick payments. Across the Link Engineering org, we focus on building delightful payment experiences and allowing our global consumer base to pay with their preferred payment methods. Our team's work spans the entire stack from front-end experiences, to infrastructure that supports low-latency transactions, to intelligent systems that help protect consumers and merchants from bad actors. Team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here . What you'll do We're looking for engineers who want to make an impact on payments at a global scale. You'll play a key role in expanding our product suite and the infrastructure that supports it. Our team collaborates with many cross-functional teams and many other teams across Stripe to deliver innovative solutions that address evolving user needs. Responsibilities Build and design the next generation of Stripe products to meet the high-growth needs of our company and customers for years to come Debug and solve critical production issues across services and multiple levels of the stack Mentor engineers to help them grow Collaborate with stakeholders across the company to build new features at large-scale, while improving internal engineering standards, tooling, and processes Collaborate effectively in a distributed and hybrid team, maintaining open communication and strong connections with colleagues Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 2–10+ years of industry software engineering experience (does not include internships or co-ops) Strong coding skills in any programming language Strong collaboration skills and the ability to work across workstreams within your team and contribute to your peers' success Ability to thrive with a high level of autonomy and responsibility and an entrepreneurial mindset Interest in working as a backend specialist across varying technologies and stacks to solve problems and delight both internal and external users Preferred qualifications Experience with large-scale financial tracking systems Good understanding and practical knowledge in cloud-based services Experience with, or enthusiasm for, building with AI and agentic workflows
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Accommodations Partner at Anthropic, you will own the end-to-end reasonable accommodation process, ensuring employees and candidates receive fair, compliant, and thoughtful support. You will serve as the subject matter expert on complex, high-stakes accommodation requests and applicable disability law across the jurisdictions where Anthropic operates, leading the interactive process with employees, managers, and HR, and partnering closely with Recruiting (for candidates), Benefits, Employment Legal, and external partners to identify effective solutions. This role requires balancing hands-on casework with process-building, as you will manage individual accommodation requests directly while also helping shape the frameworks, documentation, and cross-functional coordination needed to scale this function globally. You'll partner closely with People Partners, Benefits, Recruiting, Employment Legal, and Occupational Health resources across regions to navigate sensitive medical and disability-related matters with care, discretion, and sound judgment. As we continue to scale rapidly, you'll help build the foundations of an accommodations function that can grow with the organization. Key responsibilities Interactive Process Management - U.S.: Serve as the primary point of contact for reasonable accommodation requests from U.S.-based employees and candidates, leading the interactive process from initial request through resolution. Partner directly with employees, managers, People Partners, and recruiters to understand functional limitations, evaluate potential accommodations, and reach determinations that are both legally sound and operationally workable. Global Accommodation Request Management: Own accommodation requests from employees and candidates outside of the United States, serving as the initial point of contact and primary owner, in partnership with regional People Partners and Employment Legal. Complex Case Management: Own complex, high-stakes, or legally ambiguous accommodation requests personally, including those involving conflicting medical documentation, competing business needs, or heightened legal risk, while providing guidance to People Partners and managers on more straightforward cases. Cross-Functional Partnership: Partner closely with the internal Benefits team on accommodation requests intersecting with leave, disability, or benefits eligibility. Interface with external partners, including accommodation platform vendors, to support timely and accurate case review. Policy & Program Development: Along with the broader ER/People team, build scalable, repeatable processes and documentation for accommodation requests across regions. Develop frameworks that support consistent, defensible decision-making while remaining responsive to the nuance of individual cases. Education & Enablement: Own education strategy for accommodations best practices, delivering training and guidance to People Partners, managers, and interviewers, and on how to support the process appropriately while maintaining confidentiality. Documentation & Recordkeeping: Ensure accommodation requests, supporting materials, and determinations are documented and handled appropriately, maintaining accurate records, files, and confidentiality throughout the process. Data & Insights: Track accommodation metrics and trends to identify patterns, inform policy decisions, and proactively flag systemic issues or risk areas. Minimum qualifications Have deep working knowledge of the ADA and applicable state disability accommodation laws, and experience applying that knowledge to real accommodation processes and decisions, including a full understanding and working knowledge of the interactive process. Have demonstrated experience independently managing complex, high-stakes, or legally sensitive accommodation cases Are skilled at managing highly sensitive medical and disability-related information with discretion, empathy, and sound judgment Excel at communicating clearly and building trust with employees, managers, and HR at all levels Are comfortable with ambiguity and can create structure where none exists Care deeply about fairness, equity, and creating an accessible, supportive workplace Are comfortable working in a fast-paced environment Preferred qualifications Have 5+ years of progressive experience managing reasonable accommodation requests, ideally in a corporate or HR setting Familiarity with Disclo and Sparrow, or similar accommodation case management platforms Experience managing international accommodation requests or familiarity with multi-country accommodation frameworks Background working at technology companies or startups Experience helping build or scale an accommodations function Knowledge of or interest in AI safety and the unique people challenges in frontier AI development 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: $180,000 — $180,000 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.
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 the Head of GTM Strategy, Operations, and Analytics at Anthropic, you will lead our global GTM Strategy & Operations teams, as well as our GTM Analytics function, driving strategic decision-making and operational excellence across our rapidly scaling business. You'll manage growing teams responsible for GTM strategy, operations, and analytics, ensuring our sales, marketing, and customer success organizations have the insights, processes, and operational support needed to achieve ambitious growth targets while maintaining our commitment to safe AI deployment. In this role, you'll be a key partner to GTM leadership, owning critical operating cadences, forecasting processes, and strategic planning initiatives. You'll drive data-driven decision making across the organization while building scalable systems and processes that support our mission to make AI safe and beneficial. Responsibilities Lead and scale teams across GTM Strategy & Operations and GTM Analytics, providing strategic direction and fostering a culture of operational excellence and analytical rigor Own and optimize key GTM operating cadences, including forecasting processes, monthly and quarterly business reviews, and board-level reporting Drive quarterly and annual planning processes for territory design, GTM headcount planning, quota setting, and target allocation Establish central reporting frameworks and executive dashboards that provide actionable insights to GTM leaders and enable data-driven decision making Partner closely with Sales, Marketing, and Customer Success leadership to identify operational challenges and implement scalable solutions Develop and maintain GTM performance metrics, KPIs, and reporting standards that align with company objectives and drive accountability Lead cross-functional initiatives to optimize GTM efficiency, including process automation, system integrations, and workflow improvements Provide strategic insights and recommendations to executive leadership on market opportunities, competitive positioning, and go-to-market effectiveness Collaborate with Finance and Data Science teams to ensure alignment on revenue forecasting, pricing strategies, and market analysis Partner closely with product organization to drive new product introductions, bring the voice of the customer and the field into roadmap and launch decisions, and shape pricing, packaging and sales readiness so each launch lands with the field prepared to sell it. Build and maintain relationships with key stakeholders across the organization, serving as a trusted advisor on GTM strategy and operations You may be a good fit if you: Have 10+ years of experience in revenue operations, sales operations, or GTM analytics, with at least 5 years in senior leadership roles Have proven experience scaling GTM operations at high-growth technology companies, preferably in the enterprise software or AI/ML space Possess deep expertise in forecasting methodologies, territory management, quota planning, and GTM performance measurement Are proficient in CRM & other GTM systems (Salesforce, Gong) Have strong analytical skills with experience in SQL, data visualization tools (Tableau, Looker) Excel at stakeholder management and cross-functional collaboration, with demonstrated ability to influence at all levels of an organization Are a strategic thinker with the ability to translate business objectives into actionable operational plans Have experience building and leading high-performing teams in fast-paced, ambiguous environments Possess excellent communication skills and can present complex data insights to executive audiences Thrive in a mission-driven environment and are passionate about the responsible development and deployment of AI technology Have operated at scale and through hypergrowth in an enterprise B2B business; understand the consumption world, where revenue follows usage rather than signature; and have lived both the zero-to-one build of a function and the one-to-massive scaling of it. Strong candidates may have: Experience in API-first, consumption-based, or complex Enterprise business models Background working with enterprise customers and understanding of complex sales cycles Experience managing both individual contributors and managers Knowledge of compliance and regulatory requirements relevant to AI/ML companies MBA or advanced degree in a quantitative field Previous experience scaling operations through periods of rapid international expansion 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: $540,000 — $585,000 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.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse — keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer. Payments fraud is more externally coupled than most trust and safety work — you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally. Responsibilities: Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting Engineer fraud signals at scale — device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage — and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases Own a portfolio of metrics — loss rate, dispute rate, authorization approval impact, and false-positive rate — rather than optimizing any single number Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners Minimum Qualifications: Proficiency in Python, SQL, and data analysis tools Experience building or operating fraud, risk, or abuse detection systems in production Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders Preferred Qualifications: 8+ years of industry software engineering experience, with a focus on payments fraud or risk Fluency with payments rails: card networks, payment service providers (e.g., Stripe, Adyen), in-app purchase platforms (Apple, Google), refund flows, and the chargeback and dispute lifecycle Direct experience combating fraud typologies such as card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud Understanding of fraud loss accounting — fraud loss vs. dispute fees vs. card network monitoring programs (e.g., VDMP, i VFMP, Mastercard ECP) — and why chargeback rate thresholds carry existential stakes Experience building hybrid rules-and-ML risk systems: real-time scoring at authorization plus post-authorization review workflows Experience at a marketplace or subscription business, or on a processor-side or issuer-side risk team The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About Vercel: Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience. Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents. We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide . Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next. About the Role: We’re reinventing how People Operations runs at Vercel — and this role sits right at the center of it. You’ll help us build and integrate Vercel-powered tools that replace legacy busywork with something genuinely fast and modern. If you get excited about composable HR tech and shipping tools people actually want to use, this is that role. You’ll also own and evolve our core Workday integrations, partnering closely with People, Finance, IT, and Engineering stakeholders to keep our HR systems reliable, secure, and scalable.. This role blends hands-on integration work with real functional fluency in People Operations — you’ll need to understand not just how data moves between systems, but why our stakeholders need it to move that way. You will report to the Director of People Operations, Infrastructure & Services and will be located in one of our hub locations (San Francisco, New York, or Austin). What You Will Do: Help us build the future -- build and integrate Vercel-powered internal People tools that will define how this team works, and support our push towards a headless HR tech stack Build, maintain, and troubleshoot Workday integrations (EIB, Core Connectors/Cloud Connect, Workday Studio, APIs) that support key People Operations and Finance workflows. Partner directly with People Operations, Finance, IT, and Engineering stakeholders to understand process requirements and translate them into reliable, well-documented integration solutions. Develop working knowledge of core People Operations processes — like hire-to-retire, compensation, benefits, and org management — to inform sound integration and system design decisions. Monitor integration health, troubleshoot failures, and drive fixes in partnership with both technical and functional stakeholders. Maintain clear documentation of integration logic, field mappings, and processes for cross-team visibility. Contribute to testing, security, and change-management practices that keep our HR system integrations resilient as we scale. About You: Experience with generative AI and agentic coding platforms Excited by headless/composable HR tech — you want to build and integrate tools and APIs that go beyond a core HRIS, not just maintain the status quo. 4+ years of hands-on experience building and maintaining Workday integrations using EIB, Core Connectors/Cloud Connect, Workday Studio, and/or APIs. Working knowledge of XML/XSLT, calculated fields, and the Workday Business Process Framework; exposure to Workday security configuration is a plus. Genuine interest in People Operations — you're comfortable learning the functional "why" behind a process, not just the technical "how," and enjoy building relationships with People and Finance stakeholders. Strong communicator who can translate between technical integration details and non-technical stakeholder needs. Comfortable owning discrete integration projects independently, with guidance from senior team members on complex or ambiguous problems. A plus if you have experience using Workday Extend to build applications 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 base pay range for this role is $160,000 - $195,000 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. 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.
About Vercel: Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience. Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents. We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide . Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next. About the role: Developers are building faster than ever. Humans and agents are deploying more than 6 million times a day on Vercel, spinning up over 2 million Sandboxes and serving a trillion requests per month. Every single one is powered by our own compute infrastructure . The Persistence team sits within Vercel's Compute division. This team owns the deep infrastructure within Hive (our compute platform) focussing on storage and state for all our workloads (Builds, Sandboxes and Functions). This work is redefining compute with features like Fluid Compute, Persistent Sandboxes, and Custom Images. As a Software Engineer on the Persistence team, you'll work on the infrastructure that runs 100s of instances across every region where our customers deploy code, rethinking low-level primitives and contributing to platform features that improve the experience for thousands of developers every day. This role is based in London, UK . If you're within commuting distance of our London office, the role includes in-office anchor days. If you're located further afield within the UK, the role is fully remote. For location-specific details, please connect with our recruiting team. What you will do: Manage and improve our fleet of clusters, running 100s of instances deployed in every region where our customers deploy and run their code. Write Golang on a daily basis and use Terraform to provision infrastructure; you'll get to know Nomad as our scheduler for managing workloads. Rethink the primitives of our infrastructure — working with virtual filesystems, Linux primitives, and low-level virtualisation. Own the reliability and performance of our compute platform, including on-call coverage for a team where every improvement has outsized impact at scale. Collaborate across teams to drive the convergence of all compute at Vercel. About you: 5+ years of software engineering experience, with Golang strongly preferred. Deep experience with virtual machines, file systems and Linux — you like knowing how things work under the hood (tcpdump, strace, and iptables are familiar tools). Experience building and operating distributed systems at scale; you design for performance and reliability. Experience with schedulers and orchestrators for managing containers and non-containerised workloads (e.g. Nomad, Kubernetes). Excellent problem-solving and communication skills, with a genuine enthusiasm for digging into problems that don't have obvious solutions. Bonus if you: Have worked on low-level virtualisation or sandbox execution environments. Have product engineering experience and care about the developer-facing impact of infrastructure decisions. Have experience with on-call operations for large-scale distributed systems. 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. 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. #LI-KR1
About Vercel: Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience. Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents. We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide . Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next. About the Role: We're looking for a Marketing Operations Manager to join our Marketing Operations team within the broader Revenue Operations organization. This is a hands-on, technical generalist role for someone who loves owning the operational machinery behind a fast-moving GTM team—and who's excited to run it faster using modern AI-assisted tooling like v0, Claude Code, and the Vercel platform itself. You'll own and evolve the systems, data, and workflows that power our marketing motions: administering and integrating our martech stack, keeping our data clean and trustworthy, and building the campaigns and lifecycle automations that drive pipeline. This isn't a pure admin seat and it isn't an engineering seat—it's for an operator who's comfortable getting under the hood, automating the manual stuff, and prototyping their own solutions instead of waiting on a backlog. You will report to the Senior Manager, Marketing Operations and can be located remote (US-based in the Pacific, Mountain, or Central time zone) or hybrid out of our San Francisco HQ or Austin office. What You Will Do: Administer our core martech stack—including our marketing automation platform ( Customer.io ) and its integration with Salesforce, Snowflake, and downstream systems —keeping tools tightly connected and data flowing reliably Build, QA, and launch marketing campaigns and email programs in partnership with Growth Marketing, ensuring clean execution and measurable results Design and maintain lifecycle, nurture, and automation flows that move leads through the funnel and support segmentation and personalization Own data hygiene and governance across marketing systems—deduplication, normalization, enrichment, and the standards that keep our data trustworthy Use AI-native dev tools (v0, Claude Code, Vercel) to build internal helpers, automate repetitive workflows, and prototype solutions to ops problems quickly Partner with RevOps and GTM Analytics to ensure reliable lead flow and reporting, proactively flagging gaps, bottlenecks, or tech debt before they become problems About You: 5+ years of Marketing Operations experience in SaaS or high-growth startups A hands-on operator who not only administers the martech stack but actively improves and automates it Deep familiarity with marketing automation platforms (e.g. Customer.io , Marketo) and CRM systems (e.g. Salesforce) Comfortable working with integration and data-routing tools (e.g. Tray.io , RudderStack, Segment) Hands-on experience with AI-native development tools like v0, Cursor, or similar—and genuinely excited to use them to move fast on early ideas (this is core to how this team works) Comfortable reading and lightly editing code, and writing basic SQL to pull and validate data Strong instincts for data quality and detail, with a bias toward fixing root causes over patching symptoms Thrives in ambiguity and a fast-moving environment, and likes owning problems end to end Bonus If You: Have hands-on experience with TypeScript, more advanced SQL, or data modeling for GTM systems Have built or scaled systems in support of PLG motions or developer-focused products Have built internal tools or ops automations that went beyond stitching existing platforms together Have experience building on Vercel or similar modern web platforms 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 base pay range for this role is $140,000 - $210,000. 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. 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.
About Vercel: Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience. Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents. We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide . Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next. About the Role: The Partner team at Vercel is charged with accelerating our growth with partners. As a Partner Lead, EMEA , you will play a pivotal role in helping to establish, and grow our partner ecosystem with Technology and Solution partners. This is a senior individual contributor role for a builder. You will define the strategy, activate priority partners, and generate meaningful partner-sourced and partner-influenced pipeline. You’ll work cross-functionally across Sales, Marketing, Product, and Leadership to establish Vercel as a strategic platform within the EMEA ecosystem. If you are energized by creating net-new revenue streams, shaping GTM strategy with partners, and turning early-stage relationships into scaled growth engines, this role is for you. What you will do: Build and Scale the EMEA Partner Ecosystem Define and execute Vercel’s regional partner strategy across EMEA wide Technology and Solution partners. Identify, recruit, and activate high-impact regional and global partners, including regional GSIs and strategic ISVs at regional level. Establish scalable engagement models and joint value propositions that drive measurable pipeline and revenue. Drive Partner-Sourced & Influenced Revenue Develop joint GTM plans with partners to generate partner-sourced and partner-influenced pipeline. Lead co-sell motions, account mapping, and opportunity acceleration in partnership with regional Sales leaders. Own revenue targets tied to partner performance and ecosystem contribution. Develop Strategic Relationships Build executive-level relationships with alliance leaders, practice heads, and GTM stakeholders. Serve as the primary point of accountability for strategic partner success in EMEA. Align partner objectives with Vercel’s growth priorities. Solution & Offering Development Collaborate with Solution partners to package and bring Vercel’s AI Cloud and frontend platform offerings to market. Identify repeatable use cases, industry plays, and reference architectures that unlock scale. Provide structured feedback to Product and Marketing based on regional partner and customer insights. Enablement & Ecosystem Activation Lead partner enablement initiatives to ensure technical, sales, and marketing readiness. Equip partners with messaging, positioning, and use-case clarity to successfully sell Vercel. Represent the EMEA partner voice internally and ensure alignment across teams. About you: 7+ years in business development, partner management, and/or sales roles at high growth tech company Proven track record of building partner-sourced pipeline from zero to multi-million-dollar impact. Strong understanding of frontend technologies, cloud infrastructure, and AI development ecosystems. Existing EMEA partner network (agencies, GSIs, hyperscalers, technology partners) that you can activate. Experience driving co-sell motions and working closely with regional sales teams. Executive presence with the ability to influence senior stakeholders internally and externally. Highly collaborative, action-oriented, and motivated by exceeding ambitious growth targets.
About Vercel: Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience. Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents. We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide . Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next. About the Role: Traditional product security teams work one report at a time: a person triages a bug bounty submission, validates it, reproduces it, and hands it off for a fix. That doesn't scale past a certain volume, and Vercel is well past it. Adding more triagers doesn't close that gap. Building the systems that triage at that scale does. This role is about building that system. Your core focus is tooling that triages and validates bug bounty and other externally reported security findings at scale, reasoning about validity, severity, and reproducibility the way a human triager would, but continuously and at volume. And we want to go beyond triage. The real leverage is in connecting a validated finding to its root cause and driving the fix, ideally with the remediation itself proposed or opened automatically for well-understood vulnerability classes. More broadly, this is a mandate to rethink traditional security tooling for how Vercel actually operates: agent-scale testing and automation in place of processes built for a much smaller company. This role also has real scope to build tooling that gives our customers their own security testing capabilities for what they build on Vercel, not just harden Vercel's own surface. Because of this, we're optimizing for someone who wants to build systems, not someone whose background is manual penetration testing. A software engineer with a strong desire to move into security, or a security engineer with a strong engineering background, is exactly who we're looking for. If you're based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What You Will Do: Build tooling to triage and validate bug bounty and external findings at scale: Design and operate the systems that take in externally reported vulnerabilities and automatically assess validity, severity, and reproducibility, at a volume no manual triage process could match. Push triage beyond pattern matching, into agentic analysis: Build and operate LLM/agent-based reasoning that can validate business logic, auth, and design-level findings, not just match against known signatures. Go from validated finding to root cause: Trace validated findings back to the underlying pattern or class, so the team fixes the reason it happened, not just the one report that came in. Build toward automated remediation, not just automated triage: Design systems that can propose, and increasingly open, the fix itself for well-understood vulnerability classes, with the right human review gates in place. Rethink traditional security tooling for scale: Question which parts of the traditional product security toolkit (manual threat modeling, ad hoc code review, point-in-time pentests) still make sense at Vercel's scale, and build the agent-driven tooling that replaces or augments them. Own and evolve the bug bounty program: Manage the researcher-facing side (scope, policy, engagement) as well as the internal tooling, so every report gets resolved and makes the automated triage smarter for the next one. Build toward customer-facing security testing capabilities: Extend the tooling and automation you build for Vercel's own products into a capability customers can use to test the security of what they build and deploy on the platform. About You: You're a builder first: Strong software engineering background is more important here than classic penetration testing experience. You'd rather build the system that triages a thousand reports than work through them one at a time. We're equally excited by a software engineer who wants to move into security and a security engineer with a strong engineering background; a manual pentesting background alone is not what this role is optimized for. Understand vulnerability triage and validation, even if that's not your primary background: You know (or can quickly learn) how to assess an externally reported finding, reproduce it, and judge severity, and you understand what makes that process hard to scale. Curious about, or already building with, agentic and LLM-based security tooling: You have a point of view on where AI agents can reliably validate, root-cause, and fix vulnerabilities today, and where they can't yet. Root cause and systems thinking: You default to "how do I make this scale to the next ten thousand reports" and "why did this class of bug happen," rather than closing the one ticket in front of you. Comfortable defining a new practice: Agent-scale product security isn't a mature discipline yet. You're excited to help define what it looks like at Vercel rather than inherit a playbook. Web tech stack proficiency: Strong familiarity with JavaScript/TypeScript and Node.js runtime security, and modern web frameworks (ideally Next.js or React and Node-based frameworks), so you can read and validate the code your tooling is analyzing. Bonus If You: Have built or contributed to security automation used broadly across an engineering org, not just for your own team. Have experience running or triaging a bug bounty / vulnerability disclosure program. Have experience testing or securing multi-tenant platforms where customer-built applications run on shared infrastructure. Have built systems that auto-generate or auto-propose code fixes, not just findings. Have thought about what security testing as a product capability could look like for a platform's customers. Hold relevant security certifications or recognitions (for example, OSCP, OSWE, CISSP, or notable bug bounty hall of fame entries). These demonstrate your depth of knowledge, though they are not required. 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. 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. The San Francisco, CA base pay range for this role is $208,000.00 - $312,000.00. 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.
About Vercel: Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience. Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents. We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide . Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next. About the Role: We're looking for an engineer to join our Data team and own the reliability of the data our Finance stakeholders depend on. Vercel's revenue model combines subscription tiers with usage-based billing across many metered products, plus Enterprise contracts, so this data is genuinely complex to get right. This is a full-stack role: you'll build and maintain the pipelines, transformations, and data models that turn billing and usage data into the revenue, forecasting, and reporting infrastructure Finance runs on. You'll work closely with Finance stakeholders to understand how metrics are used and make sure they're right, not just build to spec. Reporting to the Data team's engineering lead, you'll have full ownership over your area, set technical direction, and help raise the bar for how the team builds financial data infrastructure. If you want your work to directly shape how the business understands its revenue and financial performance, we'd love to hear from you. What You Will Do: Own pipelines that bring billing, usage, and contract data into the warehouse reliably, including metered usage across multiple products. Diagnose and resolve data quality and freshness issues at the source, not just downstream. Design and maintain dbt models that turn raw billing and usage data into clean, trusted datasets for revenue recognition, margin, and forecasting. Set testing and documentation standards so models hold up to the accuracy bar Finance requires when reconciling usage-based revenue against contracts. Build datasets and semantic models that power the dashboards and reports Finance leadership uses for planning, forecasting, and close. Reduce reliance on one-off requests by designing for self-service. Work with Finance leaders (FP&A, Accounting, Revenue) to understand what they need from the data and why, and push back when the ask doesn't match the underlying question. Build pipeline and transformation code to a high engineering bar, and hold others to it through code review. Mentor other engineers and help set technical standards for the team. About You: 4+ years of experience in data engineering, analytics engineering, or a closely related field, with a track record of owning production data pipelines end-to-end Strong SQL and Python skills, with experience writing production-grade, testable code, not just scripts for one-off analysis Hands-on experience with dbt (or a comparable transformation framework), dimensional/data modeling, and modern ELT/ETL workflows, including orchestration tooling (e.g., Airflow, Dagster) Direct experience with Finance data, ideally including usage-based billing, revenue recognition, or financial close/forecasting metrics, with genuine fluency in how those metrics are defined and used Proven ability to partner with non-technical stakeholders, translating ambiguous business questions into technical specs and durable data models, not just taking requirements at face value Strong communication skills, including presenting technical trade-offs to both technical and business audiences A track record of technical ownership, with the judgment to make architecture decisions independently and mentor other engineers Comfort with the accuracy and auditability standards Finance data requires (e.g., reconciliation, versioning, clear lineage) 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 base pay range for this role is $170,000 - $260,000. 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. 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.
About Vercel: Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience. Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents. We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide . Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next. About the Role We're looking for an Engineer to lead the design and development of Vercel's Finance Data Platform, the foundational system that powers revenue reporting, consumption-based billing, financial forecasting, and compliance across the business. This is a unique opportunity to architect the data infrastructure that Finance, Accounting, and Revenue Operations depend on to close the books accurately, forecast revenue with confidence, and scale with the business. Reporting directly to the Senior Director of Data Engineering, you'll define the technical vision for Vercel's financial data ecosystem, partner closely with Finance, Accounting, and Revenue leadership to translate business and compliance requirements into scalable systems, and build reliable, auditable pipelines using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake. You'll lead from the front, writing production-grade code, setting the bar for data accuracy and governance in a domain where correctness isn't optional, and mentoring a team of engineers as the function grows. If you're excited by the challenge of building financial-grade data systems that the business trusts for reporting, forecasting, and audit, we'd love to hear from you. What You Will Do Design and implement a data platform that supports revenue recognition, consumption-based billing, and financial reporting across batch and real-time workloads, leveraging Kafka and streaming technologies to power real-time usage and billing pipelines feeding revenue and consumption forecasts. Work directly with FP&A, Accounting, and RevOps to understand reporting requirements, close-cycle timelines, and forecasting needs, translating them into technical architecture and ensuring data availability and accuracy align with financial reporting deadlines, audit cycles, and board-level reporting needs. Define and maintain guidelines for financial data ingestion, transformation, and storage, with a focus on auditability, lineage, and data integrity, while overseeing data modeling, ETL, and warehousing (ClickHouse, Tinybird, Snowflake) to support low-latency analytics and reliable historical reporting. Develop end-to-end solutions across the finance data stack, setting the example for engineering excellence in a high-accountability domain, and mentor engineers on both technical craft and the added rigor required when data feeds directly into financial statements. Partner with Security, Compliance, Legal, and Internal Audit to ensure financial data pipelines meet SOX, SOC 2, and other regulatory requirements, and champion high availability, fault tolerance, and auditability through comprehensive monitoring, alerting, and incident response. Drive architectural decisions and roadmap planning that balance efficiency, scalability, and the strict correctness requirements of financial systems, and evaluate build-vs-buy tradeoffs across financial and billing tooling (e.g., ERP, billing, and revenue platforms). Build the data infrastructure that translates raw usage into revenue, supporting the forecasting models Finance and GTM rely on for target-setting and reporting, and collaborate with data science and FP&A teams on forecasting, incrementality analysis, and revenue modeling at scale. Act as a key decision-maker for evaluating and selecting data architectures and technologies critical to Vercel's financial operations, and establish a multi-phase roadmap for finance data platform maturity aligned with company growth and audit readiness. About You 4+ years of experience in data engineering, analytics engineering, or a closely related field, with a track record of owning production data pipelines end-to-end. Proven track record designing and operating large-scale data infrastructures in a complex, fast-paced environment, with experience across Kafka and its ecosystem (e.g., Kafka Streams, Confluent Platform), ClickHouse, Tinybird, Snowflake, and broader big data frameworks. Prior experience building data pipelines that feed financial reporting, revenue recognition, billing, or consumption-based pricing models, with familiarity with financial/ERP systems (e.g., NetSuite, Workday) or billing platforms considered a strong plus. Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services. Strong background in data governance, security, and compliance, including direct experience supporting audit, SOX, or SOC 2 requirements, and a rigorous approach to data lineage and accuracy. Outstanding communication and collaboration skills, with the ability to translate financial and accounting requirements into technical architecture and influence both technical and non-technical stakeholders, including Finance and Audit leadership. A leadership mindset, with demonstrated ability to mentor teams, drive consensus, and advocate for best practices in high-accountability data environments. Industry recognition or notable contributions in data engineering (e.g., published works, open-source contributions) is a plus. The San Francisco, CA base pay range for this role is $190,000 - $258,000. 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. 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.