Job Overview
Location
San Francisco
Job Type
Full-time
Category
Operations
Date Posted
June 16, 2026
Full Job Description
📋 Description
- • As a Capacity Strategy & Operations Lead at BaseTen Inc., 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 customers and internal engineering teams.
- • You will own the end-to-end capacity planning process: translating customer commitments and growth forecasts into concrete supply requirements, coordinating fulfillment across vendors, finance, and infrastructure teams, and building scalable systems to make capacity planning repeatable and resilient.
- • BaseTen powers mission-critical inference for leading AI companies like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer, uniting applied AI research, flexible infrastructure, and seamless developer tooling to enable cutting-edge AI models in production.
- • You will develop strategic initiatives such as a Demand-Supply Alignment Framework, a Constrained Allocation Playbook, lead Capacity War Room responses, and produce Strategic Briefings for leadership to enable confident decisions on customer commitments, vendor negotiations, and CapEx allocation.
🏖️ 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
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About BaseTen Inc.
BaseTen provides a serverless, GPU-accelerated platform that lets machine-learning teams deploy, scale and monitor custom models behind autoscaling inference endpoints. The service abstracts infrastructure management, supports PyTorch, TensorFlow and Hugging Face artifacts, and offers built-in observability, A/B testing and fine-tuning. Customers integrate via REST or GraphQL APIs and pay only for compute used. Founded in 2019 and headquartered in San Francisco, BaseTen targets data scientists and product teams seeking production-grade ML serving without Kubernetes complexity.
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