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
We're looking for a Capacity Manager for our on-premises data center builds and neo cloud (GPU cloud) delivery programs. This is a high-visibility, execution-critical role sitting at the intersection of infrastructure engineering, capacity planning, vendor/partner management, and customer delivery.
You will own the end-to-end delivery lifecycle for large-scale compute infrastructure — from initial site/capacity commitments through power, networking, and hardware bring-up, to production-ready GPU/compute capacity landing in the hands of internal teams or customers. You'll be the person who turns ambitious infrastructure roadmaps into predictable, on-time, delivery.
RESPONSIBILITIES
Own delivery of on-prem infrastructure builds — colocation expansions, power/cooling readiness, rack-and-stack, network fabric bring-up, and hardware acceptance testing — coordinating across colo providers and partners, network engineering, hardware ops, and vendor teams.
Drive neo cloud delivery programs — manage capacity delivery from GPU cloud and neo cloud partners (e.g., colocation/bare-metal/GPU cloud providers), including contract milestones, capacity ramps, SLAs, and go-live readiness.
Build and maintain master delivery schedules across concurrent, multi-site, multi-vendor programs, integrating power/shell timelines, hardware lead times, logistics, and software/platform readiness into a single critical path.
Manage cross-functional stakeholders — engineering, data center operations, procurement, finance, legal, and executive leadership — translating technical dependencies into clear program status, risks, and decisions.
Own vendor and partner relationships for infrastructure delivery, including neo cloud providers, colocation partners, hardware OEMs, and logistics/installation contractors; hold partners accountable to contractual delivery commitments.
Run risk and dependency management — identify critical path risks (power availability, hardware lead times, permitting, supply chain), drive mitigation, and escalate proactively rather than reactively.
Establish delivery governance — standardized program frameworks, milestone definitions, RAID logs, capacity tracking, and reporting cadences (weekly ops reviews, executive/board-level updates).
Drive capacity planning alignment — partner with demand/capacity planning teams to ensure delivery timelines match business commitments (customer contracts, internal growth targets).
Lead post-mortems and continuous improvement — after major builds or delivery milestones, drive retrospectives that improve cost, speed, and predictability of future builds.
REQUIREMENTS
8+ years in technical program management, delivery management, or infrastructure program leadership, with at least 3+ years managing large-scale physical infrastructure or data center delivery programs.
Demonstrated experience delivering on-prem data center builds (power, cooling, network, rack-and-stack) from planning through go-live.
Direct experience with GPU cloud / neo cloud capacity delivery: understanding of GPU cluster architectures (e.g., InfiniBand/RoCE fabrics, rack power density, liquid cooling considerations) and the commercial/operational mechanics of capacity contracts with neo cloud or colocation providers.
Track record managing complex, multi-vendor, multi-workstream programs with hard external deadlines and significant financial/business exposure.
Strong executive communication skills. Able to distill complex technical/operational risk into clear, decision-ready updates for senior leadership.
Proven vendor/partner management experience, including negotiating delivery commitments and holding partners accountable.
Comfortable operating with ambiguity in a fast-moving, high-growth environment. Bias toward action and structured problem-solving.
PREFERRED QUALIFICATIONS
Experience at a hyperscaler, neo cloud provider, colocation company, or AI infrastructure company
Familiarity with GPU hardware lifecycles (NVIDIA H100/H200/GB200 class systems), power/thermal constraints, and supply chain dynamics for compute.
PMP, PgMP, or equivalent program management certification.
Experience building delivery/program management functions from the ground up
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
- 8+ years of experience in technical program management, delivery management, or infrastructure program leadership
- At least 3+ years managing large-scale physical infrastructure or data center delivery programs
- Experience delivering on-premises data center builds from planning through go-live, including power, cooling, networking, and rack-and-stack
- Direct experience with GPU cloud or neo cloud capacity delivery
- Understanding of GPU cluster architectures, including InfiniBand or RoCE fabrics, rack power density, and liquid cooling considerations
- Experience with commercial and operational capacity contracts involving neo cloud or colocation providers
- Track record managing complex, multi-vendor, multi-workstream programs with hard external deadlines and significant financial or business exposure
- Strong executive communication skills and ability to provide decision-ready technical and operational updates
- Proven vendor and partner management experience, including negotiating delivery commitments and holding partners accountable
- Ability to operate effectively amid ambiguity in a fast-moving, high-growth environment
- Experience at a hyperscaler, neo cloud provider, colocation company, or AI infrastructure company
- Familiarity with NVIDIA H100, H200, or GB200 systems, power and thermal constraints, and compute supply chains
- PMP, PgMP, or equivalent program management certification
- Experience building delivery or program management functions from the ground up
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.
-
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.
-
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.
-
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.
