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, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.
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.
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 translate top-down targets into field-level plans that are credible and motivating
Develop and maintain Baseten's segmentation logic — how we carve the market by industry, company profile, consumption potential, and AI maturity
Contribute a point of view on competitive dynamics, regional expansion priorities, and whitespace opportunities
Partner with Central Ops on ICP and TAM database strategy to ensure segmentation is grounded in clean, enriched data
Translate data into a clear business narrative for leadership and the field; democratize insights so the revenue org can self-serve
Contribute to the design of the pipeline generation model — coverage ratios, qualified pipeline definitions, and input assumptions
Support the PG cadence: track actuals vs. model, surface gaps early, and partner with field leadership to course-correct
Play an active role in the weekly forecast process, helping build the business narrative that connects leading indicators to revenue outcomes
Build and maintain the analytics layer that powers GTM decision-making — from pipeline dashboards to cohort analyses to efficiency metrics
Partner with the field to identify gaps in the business and develop structured plans to address them - supporting real time actions as well as insights to guide QBRs, pipeline reviews, etc.
Analyze regional pipeline health, win/loss trends, and rep productivity to proactively surface insights that feed back into refining the GTM plan
Contribute to execution optimization projects — improving the sales process, post-sale journey, and conversion at key funnel stages
Close the loop between what's happening in the field and what needs to change in the plan
Support the design and execution of structured experiments to test new GTM approaches — new segments, new channels, new acquisition or expansion motions
Help build the measurement framework to evaluate what's working and create a clear path to scaling what wins
Partner with RevOps and Central Ops to operationalize successful experiments into repeatable playbooks
4–6 years in GTM strategy, revenue operations, sales strategy, or a related function — ideally at a high-growth B2B SaaS or infrastructure company
Experience with consumption-based or usage-based business models strongly preferred; you understand the difference between ARR and revenue, and how to think about drawdown, expansion, and net retention
Background at a company that has scaled through a Series B–D inflection point; you've seen what good looks like and know what breaks as you grow
Background in consulting and/or banking / finance a plus
Exceptional analytical chops — you can build a coverage model, a cohort analysis, and a board-ready forecast narrative, and you know which one the moment calls for
Strong business judgment — you don't just surface data, you tell people what it means and what to do about it
Structured thinker and clear communicator — you can take a complex GTM problem, break it down, and present a crisp recommendation to a senior audience
Hands-on builder — comfortable working in AI coding tools, spreadsheets, BI tools, SQL, and CRM systems; you don't wait for someone else to pull the data
Collaborative operating style — you work across functions (Finance, field leadership, Central Ops, Enablement) and know how to get things done without formal authority
AI Fluency**-** You actively use AI tools to drive your own productivity — in how you analyze data, structure problems, draft communications, and accelerate your work
Comfortable with ambiguity; you can define the problem before solving it
Bias toward action — you'd rather ship something good and iterate than wait for perfect
Curious about the AI infrastructure market; you want to understand what we sell, who buys it, and why
Be a foundational member of the GTM team at one of the most important companies in the AI infrastructure space
Work on problems that are genuinely hard and genuinely new — consumption-based GTM at AI scale doesn't have an existing playbook
High ownership, high visibility, direct access to leadership
Competitive compensation, equity, and benefits
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
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Baseten is an AI infrastructure company that provides a cloud platform for deploying, serving, and scaling machine learning models, including open-source and custom AI models. It targets developers and enterprises building production AI applications needing fast, reliable inference.
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