Executive Finance Jobs

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's Customer Success Managers (CSM) oversee the post-sales lifecycle for Stripe users, ensuring they realize the maximum value of their investment. This partnership drives user success, increases retention and expansion, and supports mutually beneficial renewal outcomes. Few roles provide such a direct impact on the growth of the company. What you'll do We are looking for a motivated and curious professional to manage a book of enterprise customers. The CSM will deliver proactive workshops, business reviews, payments insights, and thought leadership to help users grow their business. The ideal candidate is detail-oriented and meticulous, and enjoys engaging customers to investigate issues and deliver insights. This role involves working closely with sales, technical account managers, and operations teams to engage customers in product, payment, and technical conversations. Responsibilities • Partner closely with account executives and technical account managers to support post-sale engagements focused on the optimization, retention, and growth of Stripe's enterprise customers • Manage a book of customers to drive overall account health including performance, product adoption, usage velocity, account renewals and

About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. Technical Program Managers at OpenAI play a key leadership role in scaling these efforts, partnering deeply with product, engineering, design, and go-to-market teams to bring ambitious ideas to life and ensure clarity and discipline in execution. About the Role We are hiring a Technical Program Manager to support OpenAI's critical AI deployments across strategic cloud partners. This role is designed for a candidate who can operate as an end-to-end owner across internal engineering teams and external partner organizations. This role will drive the technical strategy and execution required to bring OpenAI models and platform capabilities into partner environments responsibly and at scale. The work spans engineering deliverables, shared roadmaps, model launch pipelines, technical integration, launch readiness, and post-launch follow-through. You will work closely with senior leaders across OpenAI engineering, infrastructure, product, safety, security, legal, finance, and go-to-market, as well as technical counterparts at our partners. The job is to turn broad partnership commitments into concrete execution plans, align both sides on what must land, and build repeatable mechanisms for launching OpenAI capabilities on third-party platforms. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead end-to-end execution for major cloud partner programs spanning model deployment, product integration, operational readiness, launch follow-through, and partner-platform adoption. Own integrated technical roadma

About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. Technical Program Managers at OpenAI play a key leadership role in scaling these efforts, partnering deeply with product, engineering, design, and go-to-market teams to bring ambitious ideas to life and ensure clarity and discipline in execution. About the Role We are hiring a Technical Program Manager to support OpenAI's critical AI deployments across strategic cloud partners. This role is designed for a candidate who can operate as an end-to-end owner across internal engineering teams and external partner organizations. This role will drive the technical strategy and execution required to bring OpenAI models and platform capabilities into partner environments responsibly and at scale. The work spans engineering deliverables, shared roadmaps, model launch pipelines, technical integration, launch readiness, and post-launch follow-through. You will work closely with senior leaders across OpenAI engineering, infrastructure, product, safety, security, legal, finance, and go-to-market, as well as technical counterparts at our partners. The job is to turn broad partnership commitments into concrete execution plans, align both sides on what must land, and build repeatable mechanisms for launching OpenAI capabilities on third-party platforms. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead end-to-end execution for major cloud partner programs spanning model deployment, product integration, operational readiness, launch follow-through, and partner-platform adoption. Own integrated technical roadma

About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. The Power & Land team owns the energy strategy required to secure reliable, scalable, and economically resilient power for OpenAI’s global data center portfolio. About the Role The Power Trading Lead will own commodity hedging strategy and execution across OpenAI’s data center power portfolio. This role will translate large, dynamic electricity and fuel exposures into practical hedging, procurement, and risk-management strategies that protect infrastructure economics while preserving flexibility for growth. This is an individual contributor lead role and does not have direct reports initially. The role will work across power markets, utility tariffs, retail and wholesale supply structures, natural gas and power hedges, renewable and clean firm products, and portfolio risk analytics to support long-term compute growth. Key Responsibilities Develop and maintain OpenAI’s commodity hedging strategy across electricity, natural gas, and related energy exposures for data center operations and growth. Quantify portfolio exposure by market, site, load shape, tenor, tariff, and supply structure, and translate that exposure into clear hedging recommendations. Evaluate and execute hedging structures including fixed-price supply, forwards, swaps, options, retail supply products, congestion and basis risk mitigation, and related instruments where appropriate. Partner with utilities, suppliers, traders, banks, consultants, and market counterparties to source competitive products and improve risk-adjusted energy economics. Build decision frameworks for when to hedge, how much to hedge, and which risks to retain across different stages of site development, construction, and operations. Coordinate with finance, treasury, legal, procurement, energy regulatory, sustainability, and site-readiness teams to ensure hedging strategy aligns with broa

About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering. About the Role We are hiring a Consumer Paid Marketing leader to own and scale global acquisition across channels, including Paid Search, Paid Social, Programmatic, Affiliate, and emerging channels. This leader will define channel strategy, oversee execution at significant scale, and grow a broad consumer product across diverse audiences, use cases, and international markets. You will partner closely with product, engineering, data science, finance, design, brand, creative, lifecycle, and regional marketing to connect paid experiences to in-product journeys. This team combines rapid iteration, rigorous measurement, consumer insight, and culturally relevant creative to drive acquisition, activation, retention, and long-term user value worldwide. In this role, you will: Own global paid channel strategy across Paid Search, Paid Social, Programmatic, Affiliate, and other channels for a scaled consumer product, including planning, forecasting, budget pacing, audience strategy, and performance management. Manage significant investment across a broad international portfolio, balancing global consistency with market-level opportunity, platform dynamics, and cultural nuance. Optimize the full consumer journey from acquisition through activation, engagement, retention, and monetization, with a focus on durable unit economics and cohort quality. Develop audience, use-case, offer, and creative strategies that reach diverse consumer segments and translate across languages, cultures, and stages of product maturity. Partner with regional marketing and localization

About the Team OpenAI, in close collaboration with our capital partners, is building the world's most advanced AI infrastructure ecosystem. The Scaling Analytics team serves as the data backbone for this effort, enabling leaders and operators to make informed decisions across infrastructure deployment, hardware operations, supply chain, capacity planning, and site execution. As OpenAI’s Industrial Compute expands across an increasing number of global data center campuses, the complexity of managing infrastructure capacity, hardware health, supply flows, and operational performance continues to grow. Scaling Analytics develops the data models, pipelines, metrics, and reporting systems that transform fragmented operational data into actionable insights, helping OpenAI operate infrastructure at unprecedented scale. About the Role We are seeking a Data Engineer to help build and scale the analytical foundations that power OpenAI's infrastructure organization. This individual will partner closely with Hardware Operations, Capacity Planning, Supply Chain, Infrastructure Delivery, Finance, and Engineering teams to create reliable data products that support critical operational and strategic decisions. Today, much of the team's expertise is concentrated within several highly specialized domains including hardware health, GPU attribution, and supply analytics. As Stargate grows and new sites come online, the demand for analytics support continues to expand across both existing and emerging problem spaces. This role will increase the team's ability to move quickly, reduce operational bottlenecks, and provide additional depth across critical infrastructure analytics functions. The ideal candidate combines strong data engineering fundamentals with an ability to navigate ambiguous operational environments, translating complex infrastructure problems into scalable data solutions that improve visibility, decision-making, and execution. Key Responsibilities Design, build, and maint

About the Team OpenAI's Compensation team plays a crucial role in rewarding and retaining world-class talent who will ensure that artificial general intelligence benefits all of humanity. By crafting and implementing innovative compensation strategies, we ensure our compensation offerings are competitive, equitable, and aligned with OpenAI's mission to scale intelligently and ethically. About the Role We are expanding our Compensation team and seeking a Compensation Business Partner to help build the compensation pillar for our go-to-market organization. This is a hands-on individual-contributor role for someone who brings deep GTM compensation expertise and enjoys turning evolving business needs into practical, scalable programs. As a member of the total rewards team, you will partner closely with GTM leaders, HR Business Partners, Recruiting, Finance, and other cross-functional teams. You will spearhead compensation work across benchmarking, offer review, program design, and job architecture, with particular focus on the needs of a rapidly growing commercial organization. The shape of the work will evolve as the business grows. At times, you may independently lead key initiatives from strategy through execution. At other times, you will work alongside additional compensation partners and cross-functional resources. Success in this role requires comfort operating with ambiguity, strong judgment, and a willingness to stay close to the details while building for scale. This is an individual contributor role, designed for a subject-matter expert and hands-on builder. In this role, you will: Build and evolve compensation programs that support OpenAI’s growing GTM organization. Serve as a trusted compensation advisor to GTM leaders, HR Business Partners, Recruiting, and Finance. Lead compensation analysis and approval for offers, balancing market context, internal consistency, and OpenAI’s compensation philosophy. Own benchmarking and market analysis for GTM roles, tran

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role As a Supply Chain Program Manager, you will own material readiness and supply chain execution for critical hardware programs spanning custom silicon, systems, memory, storage, networking, and rack infrastructure. You will work cross-functionally with Engineering, Strategic Sourcing, Manufacturing Operations, Finance, Planning, Quality, and external suppliers to develop and execute scalable supply strategies that support aggressive product development and deployment timelines. This role requires deep understanding of hardware supply chains, material planning, NPI execution, supplier management, and operational scaling in constrained and rapidly evolving environments. In this role you will: Material Readiness & Supply Planning - Own end-to-end material readiness across NPI and production phases, including building the necessary framework and processes for enablement. Drive supply planning and execution for long lead-time and constrained commodities including ASICs, HBM, DDR, SSDs, networking, optics, power, thermal, and mechanicals. Build and manage material readiness plans aligned to proto/pre-EVT, EVT, DVT, PVT, and mass production schedules. Monitor supply health, lead times, inventory positions, allocation risk, and capacity constraints. Drive shortage management, allocation mitigation, and recovery planning. Coordinate supply commits, forecast alignment, and supply continuity planning with suppliers and manufacturing partners. Cross-Functional Program Ma

About the Team OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide. About the Role As a Data Scientist on FinEng, you’ll own the analytics and experimentation that improve our checkout and payments , subscriptions , and pricing & monetization systems. You’ll define the metrics that matter, build the source-of-truth data assets, and design experiments that increase conversion, reduce churn and payment failures, and expand global payment method coverage. Your work will directly influence revenue, customer experience, and how we scale internationally. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Own checkout & payments analytics and experimentation across methods and locales (e.g., bank transfers, emerging rails), improving conversion while monitoring risk and latency. Build and run the experimentation program for in-house checkout—define success metrics and guardrails, execute staged rollouts, and use offline incrementality when online tests aren’t feasible. Create operational visibility and source-of-truth data with FinEng Data Engineering—land team-level metrics, SLAs, and self-serve dashboards that drive proactive action. Lead subscription, retention, and monetization analytics—ship launch-readiness for new subscription features, reduce involuntary churn (e.g., targeted retrials/nudges), and develop elasticity/FX frameworks toward pricing optimality. You might thrive in this role if you have 5+ years in a quantitative role (data science, product analytics, or experimentation) in high-growth or fintech environments Fluency in SQL and Python ,

Job Description: Data Scientist, B2B Demand Generation, Growth & Measurement About the Role We are hiring a Data Scientist to lead measurement, experimentation, and decision science for B2B marketing demand generation. You will help us understand which marketing investments create incremental demand, qualified pipeline, and revenue and how to scale them efficiently. Our mandate is to build a rigorous, full-funnel view of how B2B marketing creates demand and moves prospects from awareness and engagement to qualified opportunities, closed-won revenue, and expansion. You will shape how we measure marketing impact and influence across channels, campaigns, audiences, and account segments. In this role, you will partner closely with B2B Marketing, Demand Generation, Growth, Sales, RevOps, Finance to connect marketing activity to qualified pipeline, customer acquisition, and efficient revenue growth. What You’ll Do Define north-star, leading, and guardrail metrics for B2B demand generation, including account engagement, qualified leads and opportunities, sourced and influenced pipeline, conversion rates, pipeline velocity, and incremental ARR. Design and execute measurement and experimentation strategies across channels and campaigns, using randomized tests, audience or geographic holdouts, lift studies, quasi-experimental methods, and other causal approaches suited to long B2B sales cycles. Analyze channel, audience, campaign, creative, content, landing-page, and account-segment performance to identify the drivers of qualified demand, funnel conversion, pipeline quality, and incremental revenue. Partner with Marketing, Sales, RevOps, Finance, Product, and Engineering to improve instrumentation, campaign taxonomy, CRM data quality, lead-to-account matching, and the operating cadence for acting on measurement insights. Build AI-native measurement and decision-support workflows, using LLMs and agents to synthesize campaign performance, surface growth opportunities, and h

About the Team We are a small and fast-moving partnerships team that shapes and executes OpenAI’s most strategic collaborations in India. We work at the intersection of product, growth, and market expansion to build impactful relationships that accelerate adoption and unlock new use cases for OpenAI’s technologies. The team partners closely with product, engineering, research, marketing, finance, legal, and operations to design and deliver partnerships that scale OpenAI’s presence and relevance across diverse markets. Our focus is on establishing long-term strategic partners and driving sustainable growth through integrated, high-impact product experiences across consumer and B2B offerings in the region. About the Role As India Product Partnerships Lead, you will lead and scale strategic partnerships primarily in India. You will be responsible for initiating, structuring, and growing partnerships that expand OpenAI’s distribution, deepen user engagement, and accelerate product adoption across the region. This role requires strong commercial judgment, regional market fluency, and the ability to work closely with product teams to translate strategic opportunities into scalable partnership models. You will operate at both strategic and execution levels — shaping partnership strategy while driving concrete outcomes that contribute to OpenAI’s growth. This role is based in Mumbai. You’ll be responsible for: Initiating and scaling strategic partnerships in India that drive user growth, distribution, and adoption for OpenAI’s consumer and B2B offerings. Establishing and managing long-term strategic partners in India, serving as the primary relationship owner and strategic lead. Identifying and executing market-specific growth opportunities such as bundled offerings, embedded distribution, platform integrations, and co-developed product experiences. Shaping joint product strategy with partners by aligning roadmaps, defining shared priorities, and unlocking new use cases tai

About the Team OpenAI’s Industrial Compute team is responsible for building and scaling large-scale compute capacity across first-party data centers, strategic partners, and industrial infrastructure environments. We focus on converting power, land, hardware, and operational execution into reliable compute capacity that can support frontier AI training and inference workloads. This team operates at the intersection of infrastructure delivery, hardware systems, utilities, supply chain, and capacity strategy—ensuring OpenAI can scale compute faster than traditional models allow. About the Role We are seeking a Tokens-as-a-Service (TaaS) Lead to drive the end-to-end conversion of industrial-scale infrastructure investments into usable token capacity for OpenAI workloads. In this role, you will own execution across complex compute programs where raw infrastructure capacity must be transformed into operational GPU throughput. You will coordinate across data center delivery, power, networking, hardware deployment, workload enablement, finance, and external partners to ensure capacity becomes productive tokens as quickly and efficiently as possible. This role is ideal for someone who can bridge physical infrastructure delivery with compute utilization outcomes. Success requires strong systems thinking, elite program leadership, and the ability to drive accountability across internal teams and strategic partners. In this role, you will Lead Tokens-as-a-Service programs across industrial compute environments, including first-party and partner-owned capacity. Convert delivered power, space, and hardware capacity into production-ready token throughput. Build integrated execution plans spanning construction, power energization, rack deployment, networking, cluster readiness, and workload onboarding. Partner with infrastructure engineering, hardware, networking, finance, supply chain, and operations teams. Drive external providers, EPCs, OEMs, utilities, and strategic partners t

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About Snowflake Founded by industry experts and backed by strategic investors, our disruptive built-for-the-cloud architecture was designed to push the limitations of conventional data warehousing. Our teams breed ambition, challenge ordinary thinking, push the pace of innovation, and work hard to provide our customers with the best experience possible. As an Enterprise Product Manager, your key role will be to optimize and strategically evolve Workday Finance Order to Cash (OTC) IT Systems at Snowflake. You will bridge diverse business stakeholders and skilled development teams, translating complex business requirements into precise, actionable functional specifications for technical implementations. This role offers a unique opportunity to contribute to the entire solution lifecycle for critical OTC systems, from design to deployment. Your expertise will directly impact the efficiency, scalability, and accuracy of Snowflake's revenue-generating processes, ensuring a robust OTC ecosystem. What you will be doing As a Staff Enterprise Product Manager, you will independently contribute to and lead the following areas: Process Optimization: Optimize and strategically evolve Workday Finance Order to Cash (OTC) systems, bridging business needs with technical solutions. Operation

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Role Snowflake is seeking a Senior Manager, Partner Field Operations to help define the strategy, insights, and priorities that drive growth across our global partner ecosystem. Sitting at the intersection of Partner, Sales, Finance, Revenue Operations, and Data & AI, this role will identify opportunities to expand partner-led growth, improve go-to-market effectiveness, and inform key business decisions. This role combines strategic thinking, analytical rigor, and operational execution to translate complex business challenges into actionable recommendations. Leveraging market intelligence, ecosystem analytics, predictive insights, and business modeling, you will help evaluate investments, optimize partner motions, and influence the evolution of Snowflake's partner strategy and operating model. The ideal candidate is a highly analytical and intellectually curious problem solver who thrives in ambiguity and enjoys tackling complex business challenges. You bring partner ecosystem knowledge, strong strategic acumen, and the ability to influence stakeholders through data-driven insights and compelling narratives. In This Role You Will Partner Strategy & Growth Develop strategic recommendations to accelerate partner-led growth, expand routes to market, and improve eco

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. This is a hybrid (3 days in office) role in Menlo Park or Dublin offices in California Our Data Analytics and AI org (DAA) is expanding our Customer Experience Analytics team and seeking a Senior Analyst to help shape how Snowflake measures and improves the post-sale customer experience. In this role, you'll combine rigorous quantitative analysis with a strong AI toolkit to unlock insights from rich support and services delivery data - driving decisions that span product strategy, operational efficiency, and customer outcomes. Reporting to the Manager of Customer Experience Analytics, you'll partner closely with Support and Services Delivery leadership, own analytical programs end-to-end, and build scalable tools that embed your work directly into stakeholder workflows In This Role You Will Be a Trusted Analytics Partner to CXE Leadership: Work closely with Support and Services Delivery leaders to provide the data and insights that drive operational decisions Deliver Insights That Drive Action: Conduct deep-dive analyses on support case drivers, resolution patterns, customer satisfaction trends, and operational efficiency that CXE leadership can act on immediately. Connect the Dots Across Teams: Partner with Support Engineering, Services Delivery, Operations, and Finance to