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About the Role

This role focuses on Capacity Strategy & Operations, bridging supply intelligence, demand forecasting, and cross-functional execution to establish a predictable hardware foundation for customers and engineering teams. It involves owning the end-to-end capacity planning process, from translating customer commitments into supply requirements to coordinating fulfillment across vendors, finance, and infrastructure. The ideal candidate can model options, recommend solutions, and drive alignment quickly, especially when supply is constrained.

Responsibilities

Own end-to-end capacity planning process, including intake, triage, prioritization, fulfillment tracking, and post-mortem learnings.
Translate customer commitments, sales pipeline, and infrastructure growth targets into concrete GPU demand forecasts across regions, GPU types, and timelines.
Partner with Finance to model capacity scenarios, evaluate new supply opportunities, and support CapEx decision-making.
Collaborate with the Capacity Acquisition team to align supply procurement with forward demand, identifying gaps and risks early.
Coordinate cross-functionally with Sales, SRE, and Infrastructure teams to resolve capacity conflicts and ensure customer commitments are honored.
Build and maintain operational cadences for structured, visible, and efficient capacity planning.
Develop reporting and dashboards for leadership to view real-time capacity health, utilization trends, and risk exposure.
Identify recurring operational gaps in the capacity lifecycle and drive process improvements to reduce toil and improve reliability.

Requirements

5+ years of experience in strategy, operations, consulting, finance, or a similar analytical and execution-oriented role.
Demonstrated ability to own complex, cross-functional processes with multiple stakeholders and competing priorities.
Strong quantitative and modeling skills, including building demand forecasts, scenario analyses, and capacity models from scratch.
Excellent communication skills, with a track record of distilling ambiguous situations into clear recommendations for senior leadership.
High ownership mindset, identifying issues, building fixes, and ensuring follow-through.
Ability to operate well under pressure in ambiguous, fast-moving environments without existing playbooks.

Skills

Quantitative and modeling skills
Communication skills
High ownership mindset
Ability to operate under pressure
Familiarity with GPU infrastructure, cloud platforms, or AI/ML ecosystem
Experience in high-growth startup environments (Series B+)
Exposure to vendor or partner management in hardware, cloud, or infrastructure contexts

Experience Level

5+ years of experience

Salary/Compensations

Competitive compensation, including meaningful equity

Benefits

100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy, including company-wide Winter Break
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

About the Company

Baseten powers mission-critical inference for dynamic AI companies like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer.
The company unites applied AI research, flexible infrastructure, and seamless developer tooling to enable companies to bring cutting-edge models into production.
Baseten is growing quickly, having recently raised a $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction.
The company aims to build the platform engineers use to ship AI products.

Equal Opportunity

Baseten is committed to fostering a diverse and inclusive workplace.
The company provides 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.
Baseten is an Equal Opportunity Employer and considers qualified applicants with criminal histories consistent with applicable law, such as the San Francisco Fair Chance Ordinance.