Capacity Strategy & Operations
Company websitebaseten.co (Baseten, opens in new tab)
Base salary $190K to $235K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
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).
Source: Baseten on Ashby · View original posting (opens in new tab)
This listingCapacity Strategy & Operations$190K to $235K
Product Marketing Manager, Solutions$190K to $220K
Marketing Technology & Operations Lead$190K to $210K
Product Data Scientist$185K to $240K
Data Scientist (Analytics)$185K to $260K
Product Enablement Lead$185K to $205K
Field Productivity & Enablement Lead$185K to $205K
Chart as a table
| Role | Published base |
|---|---|
| Capacity Strategy & Operations (this listing) | $190K - $235K |
| Product Marketing Manager, Solutions | $190K - $220K |
| Marketing Technology & Operations Lead | $190K - $210K |
| Product Data Scientist | $185K - $240K |
| Data Scientist (Analytics) | $185K - $260K |
| Product Enablement Lead | $185K - $205K |
| Field Productivity & Enablement Lead | $185K - $205K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-09-10
Where this pay comes from
Location as the employer wrote it: San Francisco
USD 190,000 – 235,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
