---
title: 'Delivery Director, Capacity Programs at Baseten'
canonical: 'https://feeny.ai/job/delivery-director-capacity-programs-baseten-san-francisco-3atm4mfthp2s'
type: 'job'
last_seen: '2026-09-06'
---

# Delivery Director, Capacity Programs at Baseten

- **Company:** [Baseten](https://feeny.ai/companies/baseten)
- **Location:** San Francisco, CA
- **Compensation:** $265k–$285k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-05
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/baseten/74b4fde1-d4e9-4080-be05-48adf2b84f6a

## Job description

## 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 https://www.baseten.co/blog/announcing-our-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 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.

## 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
- 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.

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).

## About Baseten

## Company Overview
- **One-liner**: Baseten is an AI infrastructure platform that provides high-performance inference infrastructure for deploying, optimizing, and managing AI models in production.
- **Entity Type**: Private (Series F)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2019
- **Founders**: Tuhin Srivastava (CEO), Amir Haghighat (CTO), Phil Howes (Co-Founder & Chief Scientist)

## Core Business
- **Primary industry/industries**: AI Infrastructure / Cloud Computing / MLOps
- **Target customers**: B2B, targeting AI-native companies, enterprises, and developers building and deploying large-scale AI applications. Notable customers include Abridge, Cursor, Lovable, Notion, and OpenEvidence.
- **Mission or purpose statement**: Provide the tooling, expertise, and hardware needed for teams to bring performant AI products to market as quickly and reliably as possible. The company's core belief is that "inference is everything" and that the future of AI will consist of millions of specialized models embedded into every product and workflow.

## Products & Services
- **Baseten Cloud**: A fully-managed, global deployment platform for AI models. Provides out-of-the-box performance optimizations, 99.99% uptime, and massive horizontal scale. Supports single-tenant and self-hosted (hybrid) deployments.
- **Baseten Inference Stack**: The proprietary, underlying technology that powers the platform. Includes custom model runtimes (LLMs, embeddings, voice AI, image generation), advanced caching, custom kernels, and cutting-edge performance research. Claims 2x higher throughput and 10% lower latency for embeddings (BEI).
- **Baseten Chains**: Enables granular hardware and autoscaling for compound AI systems, reportedly powering 6x better GPU usage and cutting latency in half.
- **Frontier Gateway (Pre-optimized Model APIs)**: Allows users to instantly test and deploy pre-optimized versions of the latest open-source, custom, and fine-tuned models (e.g., Qwen, DeepSeek, GLM, gpt-oss).
- **Forward Deployed Engineering (FDE)**: A service offering where Baseten engineers work side-by-side with key customers to build, optimize, and scale their models from prototype to production.
- **Training on Baseten**: Allows users to train models and deploy them in one click on the inference-optimized infrastructure.
- **Monetization API**: An inference API that allows model developers to monetize their models.

## Market Standing
- **Valuation/Market Cap**: Not privately disclosed, but the company has raised a total of **$585M** in funding.
- **Key Metric**: Annual revenue of **$7.0M** (as per LinkedIn). Total funding of **$585M**.
- **Notable Investors/Partners**: IVP, Spark Capital, Bond, CapitalG, South Park Commons, Greylock.
- **Growth Signals**:
    - Announced a **Series F** funding round (details not fully public in search results).
    - **Massive headcount growth**: 224.4% year-over-year, now employing 201 people.
    - **LinkedIn follower growth**: 199.9% year-over-year.
    - **Active job postings**: 112 open roles.
    - Acquired the company **Parsed**.
    - Backed by high-profile institutional investors including CapitalG (Alphabet's growth fund) and IVP.

## Competitive Advantages
- **High-Performance Inference Stack**: A proprietary, deeply optimized stack focusing on ultra-low latency and high throughput for the most demanding Gen AI workloads (voice AI, real-time streaming, complex compound AI systems).
- **Customer Obsession & Forward Deployed Engineering**: A hands-on, consulting-style approach with their FDE team, which builds deep, sticky relationships with high-value customers like Abridge and Notion.
- **Global & Hybrid Cloud Flexibility**: Offers both fully-managed cloud and self-hosted deployments within customer VPCs, providing scalability and security for enterprises with strict data governance requirements.
- **Founding Team's Deep Technical Credibility**: Built by former researchers and engineers who experienced the "deployment hell" of AI systems firsthand, giving them deep empathy and expertise in the problem they are solving.

## Strategic Focus
- **Dominating the "Inference-as-a-Service" Market**: The company's core thesis is that inference will become the largest market ever created, and they are building the infrastructure to power it.
- **Scaling for High-Volume, Mission-Critical Workloads**: Focus on reliability, performance, and cost-efficiency for customers who cannot afford downtime or latency (e.g., AI phone calls, real-time translation).
- **Deepening the Technical Stack**: Continuously investing in performance research (custom kernels, new decoding techniques) and expanding capabilities into new areas like voice AI and audio streaming.
- **Aggressive Hiring**: With 112 open positions and massive YoY growth, scaling the engineering, sales, and operations teams is a clear priority.

## Why Work Here
- **Hard Technical Problems**: Engineers work on the most challenging problems in modern infrastructure—model serving, low-level GPU optimization, networking, distributed systems, and observability. This is a high-agency, high-impact engineering environment.
- **High Growth Trajectory**: The company is experiencing explosive growth (224% headcount increase, active hiring). This offers significant career acceleration and ownership opportunities.
- **Strong Engineering Culture**: Founded by engineers, for engineers. The culture emphasizes "first-principles thinking across the entire stack" and a "customer-obsessed" mindset. The employer rating on compensation, culture, and work-life balance is rated highly (5.0).
- **Top-Tier Team & Investors**: The team has strong talent density with hires from Meta, Stripe, Google, NVIDIA, and Databricks. Being backed by top-tier VCs provides stability and a clear long-term vision.
- **Hybrid/In-Office**: Based in San Francisco with a strong in-person or hybrid culture common for fast-moving infrastructure startups.

## Sources
1. [Company Website](https://www.baseten.co/)
2. [Careers Page](https://www.baseten.co/resources/careers/)
3. [About Us (Team)](https://www.baseten.co/about-us/)
4. [LinkedIn Company Profile](https://www.linkedin.com/company/baseten)
5. [Ashby Careers Portal](https://jobs.ashbyhq.com/baseten)

## Other roles at Baseten

- [Capacity Operations Manager](https://feeny.ai/job/capacity-operations-manager-baseten-san-francisco-y3x505g4b4sp) — San Francisco, CA
- [Executive Assistant to the Head of Marketing](https://feeny.ai/job/executive-assistant-to-the-head-of-marketing-baseten-san-francisco-qs51cj7za0s8) — San Francisco, CA
- [Data Scientist (Analytics)](https://feeny.ai/job/data-scientist-analytics-baseten-san-francisco-be5fx1ph9j98) — San Francisco, CA
- [Marketing Analytics Manager](https://feeny.ai/job/marketing-analytics-manager-baseten-san-francisco-4p2rq2tkthpv) — San Francisco, CA
- [Software Engineer - Identity and Authorization](https://feeny.ai/job/software-engineer-identity-and-authorization-baseten-san-francisco-m144rq5swsse) — San Francisco, CA
- [Revenue Strategy & Operations, Sr. Analyst](https://feeny.ai/job/revenue-strategy-operations-sr-analyst-baseten-san-francisco-1hdcre602ctw) — San Francisco, CA
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