Finance Business Partner Manager Jobs

About the team The Applied team at OpenAI safely brings cutting-edge technology to the world. We have released groundbreaking products such as ChatGPT, Plugins, DALL·E, and APIs for GPT-4, GPT-3, embeddings, and fine-tuning. Our team also manages large-scale inference infrastructure. With much more on the horizon, our impact continues to grow. Our customers create fast-growing businesses using our APIs, enabling product features previously unimaginable. ChatGPT exemplifies the current scope of possibilities. We prioritize the responsible use of our powerful tools, valuing safe deployment over unchecked expansion. Within Applied Engineering, the Financial Engineering team ensures that our products are monetized effectively to accommodate customers' varying needs and scales. Collaborating closely with the GTM and Finance teams, we strive to tailor our billing stack to our evolving internal requirements. We seek an experienced engineer to architect and refine our billing systems, enhancing their functionality to meet the demands of our increasingly complex and expansive product offerings. In this role, you will: Architect and build the next generation of billing and monetization systems at OpenAI. Develop across the stack to create comprehensive billing integrations for our range of ChatGPT and API users. Design a versatile billing platform suitable for both subscription and usage-based offerings, ensuring scalability and enterprise readiness/flexibility. Construct and integrate tools that empower internal teams to seamlessly incorporate billing data into their workflows. Collaborate closely with a wide array of stakeholders, including the Product, Data, Finance, and Go-To-Market teams, as well as fellow engineers. You might thrive in this role if you: Possess a minimum of 5 years of professional software engineering experience, with added experience in payments, billing, or monetization seen as a bonus. Enjoy engaging with various partners, particularly those outside

About the Team The Employee Technology & Experience (ETX) team is responsible for delivering a world-class internal technology experience that enables employees to do their best work. We support and operate the employee-facing systems that keep the company moving quickly and efficiently. ETX spans support, logistics, AV, identity, endpoints, SaaS administration, automation, enterprise tooling, and internal infrastructure operations. We partner closely with Security, Engineering, Workplace, Finance, People, and other teams to keep OpenAI’s internal technology reliable, scalable, and moving at the pace of the company. About the Role We are hiring a Program Manager to help scale how IT operates across OpenAI. This role will lead complex cross-functional programs that improve operational maturity, streamline how teams work together, and turn high-impact initiatives into durable operational capabilities. You will work across IT, Security, Engineering, Workplace, and other functions to drive alignment, remove friction, and help build the operational foundation needed to support OpenAI’s rapid growth. You’ll be responsible for: Lead cross-functional operational programs that improve scalability, consistency, and operational maturity. Drive operational excellence initiatives across IT Support, employee lifecycle operations, meeting room and calendaring services, onsite support, vending, and research support environments. Build operating models, readiness plans, escalation paths, governance cadences, and success metrics for complex operational programs. Partner with technical teams to ensure new deployments, infrastructure investments, and internal platforms are operationally ready and sustainably supported at scale. Drive high-priority operational programs supporting company growth, including infrastructure expansion, operational integrations, and other emerging initiatives. Improve operational visibility, stakeholder alignment, and coordination across long-running cros

About the Team Industrial Compute is building the infrastructure ecosystem that enables OpenAI to train and deploy increasingly capable AI systems at unprecedented scale. The organization operates across compute supply, demand, infrastructure, partnerships, and the physical and commercial systems required to make large-scale compute available. Industrial Compute Strategy & Operations serves as the connective operating layer across this ecosystem. The team works directly with senior leadership across Scaling, Finance, Partnerships, Research, and Infrastructure to translate ambiguous, high-impact challenges into clear strategies, scalable operating mechanisms, and decisive execution. This team is responsible for ensuring that OpenAI’s compute strategy evolves into durable competitive advantage by identifying systemic constraints, aligning stakeholders around critical decisions, and driving the operating mechanisms required to execute at scale. About the Role We are seeking a highly experienced Strategic Operations leader to help shape and operationalize OpenAI’s compute strategy across supply, demand, infrastructure, partnerships, and commercial strategy. This is a senior individual contributor role operating at the intersection of strategy, operations, infrastructure, and executive decision-making. You will work closely with compute leadership to identify the most consequential problems facing the organization, develop structured approaches to solving them, align stakeholders across the company, and drive initiatives from ambiguous concepts through execution. The role will span both strategic and operational work. You may develop long-range compute strategies and investment frameworks, evaluate build-versus-buy decisions, shape major commercial transactions, establish organizational planning mechanisms, or take ownership of a cross-functional initiative that does not have a clear organizational home. Success in this role requires exceptional judgment, analytical

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 The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model-powered scaled automated workforce and knowledge system that evolves and learns alongside a human workforce. By leveraging OpenAI’s state-of-the-art models and technologies, some already in production, others still in the lab, we develop systems that reason and work autonomously for a wide variety of operational work. We leverage real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and more in order to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. About the Role We are looking for a hands-on Engineering Manager to lead a small, fast-moving team building AI-powered automation systems that redefine how work gets done across OpenAI. This role sits at the intersection of applied AI, research, and product engineering. You’ll lead a team that builds systems that know how to learn from humans, and carry real workloads across, sales, support, finance, IT, and more, while staying deeply involved in the technical work. You will operate in a highly iterative environment, deploying systems directly to internal users, gathering rapid feedback, and evolving solutions in real time. This is a high-ownership role for someone excited about building 0→1 systems, working closely with customers, and shaping how AI transforms operational wor

About Paytm Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm's mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. OVERALL ROLE: The Technical Manager will (lead a team to) manage the day-to-day M&E Operations and activities for the assigned property/facility, and be the on-site key point of contact for key location stakeholders. The role will assume overall responsibility for site budgets, accounting and finance, maintenance and operations, contract services, purchasing of material, equipment & supplies, occupancy services and helpdesk. MAJOR RESPONSIBILITIES ▪ Operations Management: ● Establish Engineering & Operational procedures and roll out the same for site staff ● Establish contacts with local authorities on the facility related issues and maintain the relationship. Responsible for all legal & authorities related compliances pertaining to facility & engineering systems ● Plan and manage the budgets for Engineering & Operational contracts ● Carry out Technical Audits for all installations at periodical intervals ● Review the maintenance/service practices of M&E Contractors to deliver quality work practices in line with the manufacturer recommendations ● Plan & take responsibility for smooth operations of all Mechanical, Electrical, Plumbing installations and Civil works pertaining to the facility ● Responsible for planning a critical spares list for all installations as per manufacturer's recommendations and inventory ● Responsible for development of all maintenance related schedules and shutdowns in consultation with Clients / OEMs ● Periodically inspect the logbooks, checklists and PPM schedules for a better management of Engineering systems ● Work towards the 'ZERO' down time and set

Meesho is India’s fastest-growing internet commerce company, serving over 160 million customers. As the competitive landscape in Indian e-commerce intensifies, we’re investing in building a world- class strategic intelligence capability to sharpen how we allocate capital, set prices, plan long-range strategy, and respond to market shifts. We’re looking for a founding leader to build this function from the ground up. You will be responsible for developing the systems, methodologies, and team that give Meesho’s leadership a continuously updated, outside-in view of the competitive and market landscape — turning fragmented signals into decision-grade insight. This is a high-visibility, high-autonomy role. You will work directly with senior leadership and across category, finance, and product teams. If you’ve spent years building expertise in market estimation, data triangulation, and insight generation as a consultant or researcher, and you’re now ready to own a function end-to-end inside a high-growth company — this role was designed for you

About BlockTech BlockTech is a fast-paced algorithmic trading firm facilitating global cryptocurrency derivatives and spot trading while expanding into new markets. Positions, PnL, and hedging all run through our Mid-Office team. When the numbers our traders and risk team rely on are wrong, this is where it gets found and fixed. The role We're looking for a Software Engineer to join our Mid-Office team in this role, you'll own the systems that keep positions, PnL, and hedging correct across every venue we trade. You build and run the platform, and you're the one who notices when a number looks wrong and follows it until you know why. You will: Own the books. Maintain and evolve our position, trade, and PnL systems so they stay accurate across every venue. Do the quant work. Build and refine our hedging, Greeks, margin models, and early exercise premium calculations. Surface the risk. Build the risk views and calculations that show traders and the risk team what exposure we're carrying. Support the desk. Work side by side with traders and researchers, making sure the data they rely on is correct and available. Deliver reporting. Provide the data that internal stakeholders and regulators require, PnL breakdowns, trade surveillance, treasury accounting, and compliance. Own it in production. Spot discrepancies in live data, trace the root cause, and maintain what you ship. What we're looking for An engineer at heart with a strong quantitative background. Real enthusiasm for the engineering work. A relevant educational background, ideally in a quantitative field such as Mathematics, Econometrics or Computer Science. Professional work experience with Python, Grafana and PostgreSQL. Strong Debugging skills. You can trace problems to their source even in unfamiliar systems An engineer at heart with a strong quantitative background. A critical mind that follows things until completion, high ownership, and clear communication in English Nice to have Experience in finance (ide

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for advanced AI workloads. The team builds next-generation AI-native silicon and systems, working closely with software, research, and manufacturing partners to co-design hardware tightly integrated with AI models. Beyond delivering systems for OpenAI’s supercomputing infrastructure, the team develops the strategic partnerships needed to accelerate hardware innovation and scale. About the Role We’re seeking an experienced Hardware Strategic Sourcing & Manufacturing Partnerships Manager to lead strategic engagements with joint design manufacturers (JDMs), contract manufacturers (CMs), and original design manufacturers (ODMs) across OpenAI’s hardware ecosystem. Based in Singapore, you will own the complete manufacturing partner lifecycle: developing sourcing strategies, leading RFIs and RFPs, evaluating and selecting JDM, CM, and ODM partners, negotiating commercial agreements, onboarding suppliers, launching manufacturing programs, and managing long-term partnerships. You will work closely with engineering, manufacturing, supply chain, finance, legal, security, and program management teams to establish partnerships supporting AI-native silicon, rack-scale systems, and related infrastructure. Success requires strong commercial judgment, technical credibility, and hands-on operational execution. In this role, you will: Develop and execute partnership strategies across JDM, CM, and ODM engagement models, identifying the appropriate manufacturing approach based on product requirements, technical complexity, scale, speed, cost, and risk. Lead end-to-end RFI and RFP processes for prospective JDM, CM, and ODM partners, including defining requirements, conducting market outreach, managing competitive bids, coordinating stakeholder evaluations, and presenting selection recommendations. Evaluate manufacturing partners across technical capabilities, product design and engineer

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. ABOUT THE ROLE Baseten is building the infrastructure layer for AI — and we're now building the team that will scale how we take it to market. This is a foundational hire on our GTM Strategy & Revenue Operations team, sitting at the intersection of strategic planning and field execution. You'll work directly with the CRO, Head of Revenue Operations and partner closely with Finance, field leadership, and our Central Ops team. On any given week, you might be refining our pipeline generation model, building a territory coverage analysis, designing a new GTM motion, or partnering with a regional leader to understand what's driving a trend in their pipeline. This role requires someone who can think rigorously, build things from scratch, and operate with speed and judgment in an environment where the playbook is still being written. This is a rare opportunity to be an early GTM strategy and operations hire at one of the fastest-growing companies in AI infrastructure — and to help define how we scale. WHAT YOU'LL DO: GTM Planning, Target Setting & Market Intelligence Contribute to the annual and quarterly GTM planning process in partnership with Finance, including headcount modeling, ramp assumptions, and revenue target-setting Build and maintain coverage models aligned to 2-year growth projections, incorporating territory design, account segmentation, and capacity planning Support quota framework development, helping

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. PRODUCT AT BASETEN Product at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer-obsessed, and moves fast. We're building the product function now, and you'd be one of the people who defines it. You'll work directly with our founders and with some of the best systems and infrastructure engineers in the world, and you'll set the standard for what product looks like here. You earn trust by being technical, finding the truth in front of customers, building great cross-functional relationships, and shipping great product experiences. THE ROLE The largest, most demanding Enterprises are starting to run on Baseten and they come with a range of security, compliance, and procurement requirements. Today that readiness is assembled deal-by-deal. You'll own the enterprise-readiness surface end to end and turn it into product: the deployment options customers can choose and buy, compliance posture they can trust, access and security controls their IT teams require, and the billing and spend controls their finance teams expect. What does a complete Baseten Enterprise Product offering look like? RESPONSIBILITIES Drive the Enterprise Readiness customer experience end to end: Partner with GTM and Enterprise Engineering to make "enterprise-ready" a platform-wide capability, not a deal-by-deal scramble. Outcome: readiness becomes a supported, priced product instead of bespoke work asse

AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. About the Role We're seeking a Revenue Operations Manager with a strong track record, a builder's mindset, and a bias for action to join our in-person team in New York or SF. This is a high-impact, hands-on role. You'll own the entire revenue operations function, from top-of-funnel lead routing through deal close and commission administration. You'll work closely with our Head of Finance & People Ops and sales leadership to build the systems, dashboards, and processes that scale our go-to-market motion. What You'll Do: Own the lead routing process from inbound and partnering with marketing to ensure proper attribution Run effective territory management & strategy for Geo based decisioning Support & strategise every aspect of revenue operations in your territory Own the strategy for capacity forecasting, inputs, throughputs & outputs being the conduit back to finance in

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten is building for talent density. We believe attracting and retaining exceptional people, and ensuring they feel recognized and valued for their impact, is core to becoming the best place to work. Compensation is a critical lever in that mission. As our Compensation Manager, you will own compensation programs company-wide. You’ll be a trusted advisor to senior leaders, shaping our compensation philosophy, leveling framework, and equity programs to ensure we remain competitive, principled, and performance-oriented as we scale. This role blends strategy and execution: designing clear, fair systems while moving quickly in a high-growth environment. RESPONSIBILITIES Own and evolve Baseten’s company-wide compensation strategy, philosophy, and programs. Collaborate with leadership and HRBP to create and evolve job architecture and leveling frameworks. Build and maintain compensation bands. Conduct regular market benchmarking to ensure comp bands and strategy remain competitive in a fast moving industry. Partner closely with Talent to design and approve competitive new hire offers, advising on negotiation strategy within our compensation principles. Lead bi-annual leveling and compensation review cycles to ensure market competitiveness and reward high performance across teams. Manage new hire equity grants in partnership with Finance and Legal. Design and administer a thoughtful equity refresher program for ten