Delivery Director, Baseten
Capacity Programs
$265-285k
+ equity
ML application builder for data scientists
Be an early applicant
ML application builder for data scientists
101-200 employees
Be an early applicant
$265-285k
+ equity
101-200 employees
Company mission
To make machine learning accessible to every organisation.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- We're looking for a Delivery Director, Capacity programs 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
- 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
Our take
As with its mathematical namesake, Baseten focuses on simplifying the complex. The San Francisco startup focuses on simplifying the integration of artificial intelligence into businesses. The tools that Baseten build demolish the need for businesses to hire specialised engineers, utilising the huge strides in artificial intelligence that we’ve seen in the last few years, all without adding workload to businesses.
With serious funding behind it, Baseten has grown its team by three times year-over-year over the last five years. Specifically, it's hired across engineering and marketing, gaining talent from companies such as GitHub, Google, Uber, Amazon, and Palantir. Part of Baseten's focus is on helping companies implement the tools that they have at their disposal, a long-overlooked aspect of machine learning that many businesses have been eager to champion, but are uncertain about how to actually use.
Simplifying the complex world of artificial intelligence for business is no mean feat, but with hundreds of millions in funding behind it and a $5 billion valuation reported in 2026, the company is well on its way to market domination. What's more, the three founders, who met whilst working as engineers at Gumroad, have a lot of experience in navigating this gap in the market.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 7 rounds)
Jun 2026
$1.5bn
SERIES F
Jan 2026
$300m
SERIES E
Total funding: $2.1bn
Company benefits
- Remote-first work environment. The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. Today, our team (including our founding team) is spread across the United States, Canada, and Armenia. We provide a $1,000 stipend for you to make your home-office comfortable and productive
- Regular in-person team summits. We get together as a team three times a year to plan, workshop, and most importantly, get to know each other better
- Unlimited PTO. We ask that everyone take at least 4 weeks of vacation. And we have a company-wide break between Christmas and New Year's Day
- Full healthcare coverage. Medical, dental and vision insurance for you and your family
- Paid parental leave. 16-weeks fully paid parental leave (adoptive and non-birth parents included) and flexibility with schedules while returning to work
- Company-sponsored 401(k) for you to contribute to
- Learning and development budget. We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happen
Company HQ
Union Square, San Francisco, CA
Leadership
Tuhin Srivastava
(Co-Founder)Previously Co-Founder at Shape, Machine Learning at Gumroad and Skulpt.
Amir Haghighat
(Co-Founder)Previously Head of Engineering at Gumroad, Software Engineer at Yelp and Engineering Manager at Clover Health.
Phillip Howes
(Co-Founder)Previously Co-Founder at Shape, Machine Learning Engineer at Gumroad and Research Assistant at the University of Sydney.
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