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Open nowPosted 53 days agoWe saw it 2 min after it went up

Revenue Strategy & Operations

Baseten106 open roles

Pay
$150,000 – $190,000 a year
Where
San Francisco
Work mode
Hybrid
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Your applicationOpen nowRevenue Strategy & OperationsBaseten · San Francisco
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Baseten postings stay open a median of 52 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 53 days ago

Baseten median: 52 days open

The posting

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 https://www.baseten.co/blog/announcing-our-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

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 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

Pipeline Generation & Forecast

- 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

Field Execution & Plan Refinement

- 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

New Motions & Experimentation

- 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

REQUIREMENTS

Experience

- 3-5 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

- Exposure to a company scaling through a Series B-D inflection point a plus; you have a sense of what good looks like and what breaks as you grow

- Background in consulting and/or banking / finance a plus

Skills

- Exceptional analytical chops: you can build a coverage model, a cohort analysis, and a leadership-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

Mindset

- 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

WHY BASETEN

- 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

BENEFITS

- Competitive compensation, including meaningful equity

- (U.S. only) 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

- (U.S. only) 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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