Gtm Sales Sourcer in United States

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 ship AI products. THE ROLE We're hiring a Product Data Scientist to establish how product decisions at Baseten are made with data. You'll work directly with Product and Engineering, alongside GTM to determine measurement, strategy, experimentation and implementation. This is a foundational, hands-on role. You'll define what success looks like across a technical, usage-based platform and turn ambiguous questions into analyses, forecasts, and experiments that shape product strategy. You'll work from clickstream and product events through inference telemetry and observability data, helping Baseten make faster decisions about reliability, performance, adoption and developer experience. RESPONSIBILITIES Partner directly with Product and Engineering: frame the questions that matter, define success criteria, and turn analysis into roadmap, launch, and prioritization decisions. Define how product success is measured: establish metrics across activation, adoption, retention, expansion, reliability and user experience. Support experimentation and launches: design measurement plans, analyze A/B experiments and controlled rollouts, and translate results into product decisions. Diagnose reliability and scaling behavior: join customer signals with request, replica, deployment, and cluster telemetry to find patterns in release bottlenecks, unhealthy replicas, and models without traffic. Define the enterprise customer journey and measure feature adoption

About the Team Governance, Risk, and Compliance (GRC) is foundational to Security delivering mission outcomes at OpenAI. The GRC team provides security assurances and builds compliance for OpenAI’s technology, people, and products. We are technical in what we build but operational in how we do our work, and we partner deeply with Product, Security, Legal, Privacy, GTM, and Field Security to help OpenAI move quickly while maintaining trust with customers, auditors, regulators, and the public. About the Role We are looking for an experienced Product Lifecycle Assurance IC to help scale OpenAI’s GRC function across our product stack to ensure products address customer and regulatory compliance requirements at launch and regressions are detected promptly and corrected. You will partner closely with Product, Security, Legal, and Privacy teams to make sure OpenAI can move quickly while maintaining our security, privacy and compliance claims and giving customers, auditors, and regulators assurance about how OpenAI handles user data. You are responsible for product assurance end-to-end from inception to post-launch (continuous) monitoring. You leverage existing workflows, reviews, and data and enhance, augment and build the components needed to create an end-to-end product assurance program. This role is not about supporting SOC or ISO audits; it's a highly cross-functional and deeply technical operations role to ensure that OAI products meet the compliance bar at launch, regressions are prevented and detected, and our compliance state can be evidenced. This role also helps ensure that our product launch governance program operates effectively across key safety, privacy, legal and security stakeholders and lessons-learned from incidents and regressions are used to improve the program. You or in partnership with engineering teams, build key controls in our infrastructure stack, developer workflows and launch tooling to provide developers with guardrails, perform CI/CD confor

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM). About the role We are hiring a Forward Deployed Engineer (FDE) to build and deploy AI systems for legal work. You will embed deeply with customers—often working closely with senior legal practitioners—to identify the right first use case, rapidly prototype a solution, and prove measurable value. Early engagements may focus on creating a “hero” workflow that shows how OpenAI’s models can support legal analysis, drafting, research, or real-time work with complex case records. You will own the technical work from discovery and proof of concept through production adoption, while translating customer workflows and constraints into clear product feedback. As the motion matures, you will turn successful deployments into repeatable patterns that can scale across larger accounts and the broader legal market. This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance. Travel up to 50% may be required. In this role, you will Embed with law firms and legal teams to understand their workflows, identify high-value opportunities, and select the right initial use cases to prove value. Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks t

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM). About the role We are hiring a Forward Deployed Engineer (FDE) to build and deploy AI systems for legal work. You will embed deeply with customers—often working closely with senior legal practitioners—to identify the right first use case, rapidly prototype a solution, and prove measurable value. Early engagements may focus on creating a “hero” workflow that shows how OpenAI’s models can support legal analysis, drafting, research, or real-time work with complex case records. You will own the technical work from discovery and proof of concept through production adoption, while translating customer workflows and constraints into clear product feedback. As the motion matures, you will turn successful deployments into repeatable patterns that can scale across larger accounts and the broader legal market. This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance. Travel up to 50% may be required. In this role, you will Embed with law firms and legal teams to understand their workflows, identify high-value opportunities, and select the right initial use cases to prove value. Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks t

B2B go-to-market software has historically been where design ambition goes to die. The tools are powerful but joyless. Dense, generic, admin-heavy, and built for process more than delight. Meanwhile, the best product companies have raised everyone’s expectations for what business software can feel like: fast, opinionated, elegant, and genuinely useful. AI gives us a chance to rebuild the category from first principles. Mutiny is building the agentic GTM platform that helps revenue teams create the work they need to win. Sellers and marketers should not have to wait on five internal teams to move a deal forward. They should have a bench of AI teammates that understands the account, knows what good looks like, and gets sharper every week. We’re looking for a founding staff designer to define what that feels like. This is not a role where you plug into a mature design system, clean product rituals, or a settled category. You’ll help invent the product language for AI-native GTM software: the interaction model, the creative standards, the feedback loops, the system, and the taste bar for what the agent produces. The design problem Our job is to make AI output that a great seller, marketer, or designer would actually be proud to put in front of a million-dollar account. That requires more than a chat box. It requires data, memory, taste, brand intelligence, workflow design, and a UI simple enough for every rep to use daily but powerful enough to support an entire revenue motion. Some of the questions you’ll help answer How should a seller direct an agent without becoming the agent’s project manager? How do we make generated work feel on-brand without making it dull? What does editing look like when the object is not a static page, but an intelligent system that can regenerate, revise, explain, and learn? How do we give users confidence and control without burying them in settings? How do we turn taste into a system the product can improve over time? What you’ll work on P

About the Team The Startup Growth team is building the systems, programs, and automation that enable OpenAI to win startups at scale. We need to make it dramatically faster and easier to turn high-potential growth ideas into repeatable, measurable GTM motions without bespoke infrastructure for every program. About the Role The GTM Growth Programs Lead will own the shared capabilities that enable Startup GTM to incubate, launch, measure, and scale growth programs. The role will initially own credit and commercial programs while using that work to build reusable infrastructure for a broader portfolio of GTM motions. The goal is not to centralize program ownership: teams closest to startups should continue to identify, incubate, and own growth motions. This role will build the operating system that makes them dramatically better and faster at doing so. 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: Build the GTM program platform for Startups. Develop shared infrastructure, tooling, and agentic systems that turn growth opportunities into scalable programs, automate work across the program lifecycle, and make each subsequent motion faster to launch. Own credit and commercial programs. Drive credit/commercial strategy and evolution while turning capabilities such as audience selection, eligibility, offer configuration, distribution, and measurement into reusable building blocks. Create a repeatable path from idea to scaled motion. Turn “we need to increase X” into targeted, operationalized, measurable GTM motions. Build leverage throughout the team. Enable ADs, VC Partnerships, and other Startup GTM teams to incubate and own programs independently rather than routing every motion through centralized operations. Develop shared measurement and experimentation frameworks and capabilities. Establish common approaches to sizing, economics, attribution

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. You will build the layer that makes Vanta's data actually useful: a single interpretive layer that reads across every source of truth and makes them queryable, reasoned-over, and genuinely illuminating — for EPD, for GTM, and for anyone in the org trying to understand what's happening and why. The EPD Systems team is building the infrastructure Vanta's engineering, product, and design organization depends on to understand itself. We're constructing three interlocking layers: sources of truth at the foundation, an operating system that makes delivery legible, and the intelligence layer that reasons across all of it. This role owns the intelligence layer — the one that doesn't exist yet. This is a builder role. You will ship working things yourself — prototypes, internal tools, agent workflows. You will not hand specs to someone else and wait. Communication isn't a separate deliverable; it's how you learn what to build. What you’ll do as a Senior Product Builder at Vanta: Build the intelligence layer: a cross-source interpretive layer that reads across Vanta's sources of truth and makes them queryable and reasoned-over by EPD leadership, GTM, and beyond Define what to build: scope the problem yourself, make explicit tradeoffs about what to defer, and own the sequence of what gets built and when Ship working things yourself: prototypes, internal tools, agent workflows — using AI as part of how you work, not what you report on Understand the organization: go to the teams whose decisions this layer will serve — GTM, G&A, EPD — and come back knowing what they can't answer today Catch and address AI-specific quality problems — rel

About the team The Monetization Data Platform team builds the trusted data and platform foundations that power how the company develops, measures, and improves monetization products. We bring together product usage, pricing, billing, ads, payments, and financial data to help Product, Engineering, Finance, and GTM teams make better decisions and deliver reliable customer experiences. We work at the intersection of data engineering, product engineering, platform engineering, Finance, and GTM. Our goal is to turn complex monetization and financial data into accurate, explainable, and timely data products while building systems that scale with the growth and complexity of the business. About the role We are looking for a Data Engineer to improve and build the next generation of our monetization data platform. You will own high-impact systems end to end, from product instrumentation, source ingestion, and canonical modeling through quality controls, observability, and delivery to downstream consumers. This is a hands-on role for an engineer who enjoys solving ambiguous product and data problems, designing durable architectures, and partnering closely with Product Engineering, Finance, Accounting, and GTM. You will help define technical direction, raise the engineering bar, and turn monetization opportunities into trusted, scalable data products and platform capabilities. In this role, you will Design, build, and operate large streaming and batch data pipelines that process product, financial, and operational data from a variety of internal and external systems. Develop canonical data models and reusable data products for domains such as product usage, pricing, billing, ads, payments, revenue, and the general ledger. Establish strong guarantees for data accuracy, completeness, freshness, lineage, reconciliation, and auditability. Build frameworks and platform capabilities that improve developer productivity and make it easier for teams to launch, measure, and iterate on m

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As the Executive Business Partner to three GTM executives, you will play a critical role in ensuring these executives can focus on their most impactful work. We’re looking for someone who is genuinely motivated by execution and finds energy in getting things done and supporting leaders operating at high velocity. Strong judgment, proactive thinking, adaptability, and the ability to anticipate needs and stay ahead of shifting priorities will be keys for success in this role. You will join Vanta’s centralized Executive Operations team, a cohesive group that shares best practices, collaborates closely, and provides consistent, high-quality support across the executive team. While this role is primarily execution-focused, you will also support select projects that improve operational effectiveness within the revenue organization and across the EBP team. We are looking for candidates based in the New York City Area who are able to participate in occasional in-person events and office visits. We will also consider highly qualified candidates located outside of NYC but in the eastern time zone. What you’ll do as a Executive Business Partner at Vanta: Partner closely with the GTM executives, providing excellent administrative and operational support that enables them to focus on their most impactful work. Adapt quickly to the executive’s working style and pace to deliver seamless day-to-day support. Act as a trusted gatekeeper, managing complex calendars and scheduling with an understanding of business priorities and context. Own travel and logistics end-to-end, planning itineraries and coordinating customer visits, offsites, and inter

As organizations rapidly adopt AI applications and agentic systems, security teams need visibility and control over how these technologies are being used. Datadog's AI & Data Security product helps customers discover, secure, and govern AI usage across their environments ensuring sensitive data is properly managed from model training through production. As a Product Manager II for AI & Data Security, you will own capabilities for AI discovery, posture management, and data security; giving customers complete visibility into their AI applications, agents, and enabling ecosystem, with prioritized actions to operate AI systems securely. You'll partner with engineering, design, security research, and GTM teams to define and ship platform capabilities that help organizations adopt AI at scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the roadmap for AI & Data Security capabilities, including AI and data discovery & posture management. Define how security teams can assess and manage the security posture of AI-enabled systems, including configuration risks, sensitive data exposure, and policy violations. Work closely with engineers and designers to deliver new product capabilities end-to-end, from early concept through launch and iteration. Partner with Datadog security researchers to identify emerging risks in AI systems and translate them into actionable product features. Engage with customers to understand how they are adopting AI and validate solutions that help them operate these systems securely. Collaborate with go-to-market teams to enable adoption and communicate the value of AI security capabilities to customers. Who You Are: You have 3+ years of product management experience building technical products, ideally in security,

About the Team The Strategic Finance team partners across OpenAI to turn company strategy into financial decisions, helping allocate resources and steer the business toward its highest-impact long-term outcomes. Within Strategic Finance, the B2B Product Finance team owns the financial perspective on growth across OpenAI’s B2B portfolio. We connect monetization and customer economics with compute demand, capacity, margin, and resource planning, partnering closely with Product, GTM, Strategic Deal Desk, Compute Finance, Capacity Planning, Data, Accounting, and other Finance teams. About the Role We are hiring a Strategic Finance leader for B2B Product to build the 0→1 financial foundations and decision-making frameworks that will help OpenAI scale its B2B business sustainably. You will own high-impact work across B2B monetization, compute demand modeling, enterprise deal economics, contribution margin, and more. This is a portfolio-wide individual contributor role spanning our API Platform and other B2B products. You will connect customer demand and commercial terms to revenue, compute consumption, and margin outcomes; influence some of our largest enterprise deals; and help leadership make sound growth investment, compute capacity, and resource allocation decisions. This role is based in San Francisco, CA. In this role, you will: Own an integrated view of B2B monetization and product economics across the API Platform and other B2B products – including pricing, packaging, channel and usage mix, discounts, credits, commitments, revenue, and customer profitability Build, maintain, and improve complex driver-based financial models that connect customer usage, product and model mix, pricing, discounting, credits, commitments, and contribution margin Build financial views for B2B compute demand and margin planning; identify risks and opportunities, explain key drivers, and recommend capacity and resourcing decisions that improve portfolio economics Evaluate some of OpenAI’

About the Team We are a small and fast-moving partnerships team that shapes and executes OpenAI’s most important collaborations. Your mission is to design and operate the partner program for technology partners, ISVs, and marketplace participants. You will turn partner strategy into a simple, scalable experience from recruitment and onboarding through enablement, benefits, performance management, and growth. About the Role You are an operational builder with strong judgment, high ownership, and a track record of turning ambiguous goals into clear programs and measurable outcomes. You are comfortable working across product, engineering, GTM, marketing, operations, legal, finance, security, and support. You balance rigorous systems and governance with a thoughtful partner experience, and you can move quickly as the ecosystem evolves. In this role, you will: Design and run the end-to-end ISV and marketplace partner program. Define partner eligibility, segmentation, tiers, benefits, requirements, and lifecycle stages. Build repeatable onboarding, technical enablement, validation, listing, launch, and growth journeys. Establish program policies, documentation, service levels, governance, and escalation paths. Create partner communications, education, office hours, playbooks, and self-service resources. Develop program metrics and dashboards covering recruitment, activation, solution quality, adoption, revenue impact, and partner health. Coordinate launches and program changes across product, engineering, GTM, marketing, legal, security, finance, support, and operations. Capture partner feedback and translate it into program, product, and operating improvements. You might thrive in this role if you have: 8+ years of experience in partner programs, marketplaces, ecosystem operations, business operations, or program management. Proven experience building or scaling a technology partner, ISV, or marketplace program. Exceptional ability to convert ambiguous goals into clear p

About the Team OpenAI Finance helps ensure the organization is set up for success in pursuit of its mission of ensuring that artificial general intelligence benefits all of humanity. Within Finance, the Technical Revenue team partners with Product, Strategic Partnerships, Business Development, Growth, Legal, Deal Desk, GTM, Strategic Finance, Revenue Accounting, and Finance Systems to enable scalable, audit-ready monetization. We advise on commercial and contract design, establish defensible accounting positions under ASC 606, and translate those conclusions into repeatable processes, systems, controls, and reporting. About the Role We’re looking for a Senior Manager of Revenue Accounting to lead revenue strategy and technical accounting for OpenAI’s strategic commercial deals. Reporting to the Head of Technical Revenue, you will serve as the primary revenue advisor for large, bespoke, and non-standard deals outside OpenAI’s standard product and service offerings. Your portfolio may include strategic collaborations, cloud marketplaces, platform and distribution deals, licensing and revenue-share models, joint go-to-market initiatives, research collaborations, and other emerging commercial structures. You will engage early in the deal lifecycle to help shape commercially viable, accounting-compliant, and operationally scalable outcomes. You will establish the accounting posture, identify required contract and product terms, define reporting and control requirements, and ensure that deal economics, billing flows, and revenue recognition remain aligned as the business evolves. This role requires strong technical accounting judgment, commercial fluency, executive communication, and the ability to create clarity and ownership in areas where precedent may not yet exist. 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 technical revenue accounti

About the Team The Monetization Data Systems team builds the trusted data and product systems that power how the company develops, measures, and improves monetization products. We bring together product usage, pricing, billing, ads, payments, and financial data to help Product, Engineering, Finance, and GTM teams make better decisions and deliver reliable customer experiences. We work at the intersection of data engineering, product engineering, platform engineering, Finance, and GTM. Our goal is to turn complex monetization and financial data into accurate, explainable, and timely data products while building systems that scale with the growth and complexity of the business. About the Role We are looking for a Senior Software Engineer to design and build the next generation of our monetization data platform. You will own high-impact platform systems end to end, from architecture and implementation through testing, deployment, observability, and ongoing operation. This is a hands-on role for an engineer who enjoys solving ambiguous customer and business problems, designing durable systems, and partnering closely with Product, Data, Finance, Accounting, and GTM. You will help define technical direction, raise the engineering bar, and turn monetization opportunities into reliable, scalable product experiences and platform capabilities. In this role, you will: Design, improve, and operate reliable, scalable backend services that power pricing, billing, ads, payments, entitlements, and other monetization platform capabilities. Own the architecture and implementation of critical workflows relevant to monetization data, data contracts, and integrations across product and business systems. Establish strong guarantees for correctness, availability, security, performance, reconciliation, and auditability across business-critical systems. Build reusable platform capabilities and developer tools that enable product teams to launch, measure, and iterate on monetization products

About the Team OpenAI Finance helps ensure the organization is set up for success in pursuit of its mission of ensuring that artificial general intelligence benefits all of humanity. Within Finance, the Technical Revenue team partners with Product, Strategic Partnerships, Business Development, Growth, Legal, Deal Desk, GTM, Strategic Finance, Revenue Accounting, and Finance Systems to enable scalable, audit-ready monetization. We advise on commercial and contract design, establish defensible accounting positions under ASC 606, and translate those conclusions into repeatable processes, systems, controls, and reporting. About the Role We’re looking for a Senior Manager of Revenue Recognition to lead revenue strategy and technical accounting for OpenAI’s strategic commercial deals. Reporting to the Head of Technical Revenue, you will serve as the primary revenue advisor for large, bespoke, and non-standard deals outside OpenAI’s standard product and service offerings. Your portfolio may include strategic collaborations, cloud marketplaces, platform and distribution deals, licensing and revenue-share models, joint go-to-market initiatives, research collaborations, and other emerging commercial structures. You will engage early in the deal lifecycle to help shape commercially viable, accounting-compliant, and operationally scalable outcomes. You will establish the accounting posture, identify required contract and product terms, define reporting and control requirements, and ensure that deal economics, billing flows, and revenue recognition remain aligned as the business evolves. This role requires strong technical accounting judgment, commercial fluency, executive communication, and the ability to create clarity and ownership in areas where precedent may not yet exist. 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 technical revenue account