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
As a member of the Capacity Strategy & Operations team, you will sit at the intersection of supply intelligence, demand forecasting, and cross-functional execution, turning a complex, fast-moving hardware market into a predictable, reliable foundation for our customers and internal engineering teams.
This is not a purely analytical role. You will own the end-to-end capacity planning process: from translating customer commitments and growth forecasts into concrete supply requirements, to coordinating fulfillment across vendors, finance, and the infrastructure team, to building the systems that make all of this repeatable and scalable. When supply is constrained and tradeoffs are unavoidable, you are the person in the room who can model the options, make a clear recommendation, and drive alignment fast.
You are a strong fit if you have operated at the intersection of strategy and execution before — someone who is equally comfortable building a capacity model in a spreadsheet and running a cross-functional war room when a customer deployment is at risk.
EXAMPLE INITIATIVES
Demand-Supply Alignment Framework: Build and own the process that translates customer pipeline, signed commitments, and growth projections into a forward-looking GPU demand signal — so the team is never caught flat-footed when a customer scales faster than expected.
Constrained Allocation Playbook: Define the decision framework for how Baseten allocates scarce GPU supply across competing customers and regions, including escalation paths and tradeoff criteria for leadership.
Capacity War Room Ownership: Lead cross-functional response when a high-stakes capacity situation arises — coordinating across Sales, SRE, Finance, and Vendor relationships to resolve it with minimal customer disruption.
Strategic Briefings for Leadership: Produce clear, concise capacity health reports and scenario analyses for senior leadership, enabling confident decisions on customer commitments, vendor negotiations, and CapEx allocation.
RESPONSIBILITIES
Own the capacity planning process end to end: 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
Work closely with the Capacity Acquisition team to align supply procurement with forward demand, flagging gaps and risks early
Coordinate cross-functionally across Sales, SRE, and Infrastructure teams to resolve capacity conflicts and ensure customer commitments are honored
Build and maintain the operational cadence that keeps capacity planning structured, visible, and free of ad-hoc Slack chaos
Develop reporting and dashboards that give leadership a real-time view of capacity health, utilization trends, and risk exposure
Identify recurring operational gaps in the capacity lifecycle and drive process improvements that reduce toil and improve reliability
REQUIREMENTS
5+ years of experience in strategy, operations, consulting, finance, or a similarly analytical and execution-oriented role
Demonstrated ability to own complex, cross-functional processes with multiple stakeholders and competing priorities
Strong quantitative and modeling skills — comfortable 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: you identify what is broken, build the fix, and follow through until it is working
Operates well under pressure and in ambiguous, fast-moving environments where the playbook does not yet exist
NICE TO HAVE
Familiarity with GPU infrastructure, cloud platforms, or AI/ML ecosystem
Experience in a high-growth startup or Series B+ environment where operational processes were being built from scratch
Exposure to vendor or partner management, particularly in hardware, cloud, or infrastructure contexts
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).
Skills Required
- 5+ years of experience in strategy, operations, consulting, finance, or a similarly analytical and execution-oriented role
- Experience owning complex, cross-functional processes with multiple stakeholders and competing priorities
- Strong quantitative and modeling skills, including demand forecasts, scenario analyses, and capacity models
- Excellent communication skills and ability to distill ambiguous situations into recommendations for senior leadership
- High ownership mindset with ability to identify problems, build solutions, and follow through
- Ability to operate under pressure in ambiguous, fast-moving environments
- Familiarity with GPU infrastructure, cloud platforms, or the AI/ML ecosystem
- Experience in a high-growth startup or Series B+ environment building processes from scratch
- Exposure to vendor or partner management in hardware, cloud, or infrastructure contexts
Baseten Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Baseten and has not been reviewed or approved by Baseten.
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Fair & Transparent Compensation — Feedback suggests pay targets the top of market with explicit ranges in postings and a stated aim to provide 90th percentile salaries with equity. Role descriptions emphasize competitive, experience-based pay bands and meaningful stock grants.
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Healthcare Strength — Healthcare is described as fully covered for medical, dental, and vision for employees and their families, reducing out-of-pocket costs. This comprehensive coverage is consistently highlighted alongside other core benefits.
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Leave & Time Off Breadth — Time off policies include unlimited PTO with a minimum expectation of at least four weeks, 16 paid company holidays, and a company-wide winter break. These elements indicate substantial protected time away from work.
Baseten Insights
What We Do
AI’s future won’t be a few massive models built by a handful of labs. It’ll be millions of specialized models embedded into every product, workflow, and experience by the people closest to the customer. The foundation of that future is inference. Inference determines the performance, reliability, latency, and economics of every AI product. For AI to scale globally, it must be as reliable, fast, cost-effective, and high-quality as possible. That’s why Baseten exists. Companies like Abridge, Cursor, Lovable, Notion, and OpenEvidence depend on Baseten to power mission-critical AI workloads in production.
Why Work With Us
We’re an interdisciplinary team of researchers, engineers, and operators building the Inference Cloud our AI future demands. We’re running at a hard systems problem that requires first-principles thinking across the entire stack. The bar is high. We work hard, move fast, and care deeply about quality.

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