---
title: 'Vice President, Product Management, Managed AI at Crusoe'
canonical: 'https://feeny.ai/job/vice-president-product-management-managed-ai-crusoe-san-francisco-cz9enxmhbgpk'
type: 'job'
last_seen: '2026-09-11'
---

# Vice President, Product Management, Managed AI at Crusoe

- **Company:** [Crusoe](https://feeny.ai/companies/crusoe)
- **Location:** San Francisco, CA / United States
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-10
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/crusoe/40d87d12-e3b2-4d42-ac31-3316798dbb32

## Job description

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About the Role: Crusoe's Managed AI Services portfolio launched in late 2025 and is scaling fast: We have already secured triple-digit $M ARR commitments from customers. The portfolio spans Managed Inference (Serverless, Self-Deployed and Tailored Deployment), Serverless Fine Tuning, with Serverless Reinforcement Learning and Agent Sandbox GA landing in H2 2026. As VP of Product Management, you will own the vision, strategy, execution and roadmap for this business, reporting to the SVP of Product Management and partnering directly with the VP Engineering for Managed AI Services. You will lead the portfolio as a business and via strong cross-functional partnerships, anchored in the rise of open models and Crusoe's vertically integrated cloud strategy from electrons to tokens.

What You'll Be Working On:

- Define the long-term vision, strategy and roadmap for the Managed AI Services portfolio, aligned to customer needs, company goals, market trends and GTM strategy
- Build, lead and mentor a team of product managers, owning their performance and development
- Partner with engineering, technical program management, product partnerships, marketing, customer success and sales to define requirements, prioritize features and drive the lifecycle from concept through launch and adoption at scale
- Own the business metrics for the portfolio, including usage, reliability and production KPIs, pipeline, revenue, gross margin and customer satisfaction, and use that data to drive decisions
- Shape go-to-market with sales, marketing and customer success, including positioning, messaging, pricing, routes-to-market and partnerships
- Build relationships with key customers, ecosystem partners and GTM partners, translating their feedback into product improvements and working alongside the Director of Product Partnerships on partnership and M&A opportunities
- Track the Managed AI competitive landscape and emerging technologies to inform strategy and surface new opportunities
- Proactively identify and resolve technical and commercial risks, infrastructure bottlenecks and scaling challenges, and manage product budgets and resources against business goals

What You'll Bring to the Team:

- Proven product management track record with AI/ML services, including experience building AI managed services and scaling them from scratch
- First-hand experience with AI managed services such as inference, tuning, reinforcement learning and agent sandboxes, along with the observability and evaluation practices that support them
- Strong understanding of cloud infrastructure technologies and trends, ideally as a builder of planet-scale cloud products at a hyperscaler, neocloud or specialized inference provider
- Experience managing and launching technical products and features for AI-native, digital-native and enterprise customers
- Proven experience building, leading and mentoring product management teams
- Strategic leadership: the ability to set a clear vision, make informed decisions with incomplete information, and guide a cross-functional team toward market awareness, adoption, revenue and gross margin goals
- Analytical rigor: comfort interpreting complex market, customer and production data to drive product strategy
- Excellent communication and collaboration skills, with the ability to present technical concepts, connect them to business outcomes and build consensus across diverse stakeholders
- Hands-on use of AI tools to accelerate the product management craft

Bonus Points

- Experience leading a technical customer-facing team or operating an AI managed service from the customer or user side
- Engineering background prior to moving into product management
- Experience with open model ecosystems and the fine-tuning and inference optimization workflows enterprises use to adapt models to their data
- Familiarity with Agile and Lean product management methodologies

Benefits:

- Competitive compensation and equity packages
- Restricted Stock Units
- Paid time off, paid holidays & leave of absence programs
- Comprehensive health, dental & vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance, short-term and long-term disability
- Professional development & tuition reimbursement
- Mental health & wellness support
- Commuter benefits (parking & transit)
- Cell phone stipend
- 401(k) Retirement plan with company match up to 4% of salary
- Volunteer time off
- Global travel insurance & emergency assistance
- Daily meals allowance
- Additional perks & programs specific to location

## Compensation Range

Compensation will be paid in the range of up to $345,000 – $385,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

## About Crusoe

## Company Overview
- **One-liner**: Crusoe is an energy-first AI infrastructure company that designs, builds, and operates hyperscale data centers and a cloud platform purpose-built for artificial intelligence workloads.
- **Entity Type**: Private (Series E)
- **Headquarters**: Denver, Colorado, USA
- **Founded**: 2018
- **Founders**: Chase Lochmiller and Cully Cavness

## Core Business
- Primary industry/industries: AI Infrastructure, Cloud Computing, Data Centers, Clean Energy
- Target customers: Enterprise AI companies, AI-native startups, research institutions, government agencies (B2B)
- **Mission**: "Accelerate the abundance of energy and intelligence."

## Products & Services
- **Crusoe Cloud**: An AI-optimized cloud platform purpose-built for AI workloads, featuring high-performance NVIDIA and AMD compute, accelerated storage, and optimized RDMA networking. Claims to deploy models up to 20x faster and cut costs by up to 81%.
- **Crusoe Managed Inference**: A managed AI inference service built with Crusoe's proprietary MemoryAlloy technology, offering best-in-class speed, throughput, and reliability. Features the Crusoe Intelligence Foundry for model selection and API key management.
- **AI Data Center Infrastructure**: Vertically integrated design, build, and operation of hyperscale AI factories (e.g., the 1.2 GW Stargate campus in Abilene, TX). Modular, scalable construction for power-hungry AI workloads.
- **Crusoe Managed Kubernetes & Slurm**: Managed orchestration services that eliminate operational overhead for customers.
- **Crusoe AutoClusters**: Fault-tolerant, managed cluster services for large-scale AI training.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company).
- **Key Metric**: Raised over $1.8B+ in total funding (Series E in 2024 was $1B+; Series D in 2024 was $600M; Series C in 2021 was $350M).
- **Notable Investors/Partners**: NVIDIA, NYDIG, GE Vernova, Redwood Materials, Tallgrass, AMD. The company has also partnered with leading energy and technology firms to power its data centers.
- **Growth Signals**: Divested bitcoin mining business to NYDIG in 2023 to focus exclusively on AI infrastructure; broke ground on the 1.2 GW Stargate campus in Abilene, TX; expanded into Europe with a geothermal/hydro-powered deployment in Iceland; announced 1.8 GW Wyoming data center with Tallgrass; acquired GPU memory optimization startup Atero and established a Tel Aviv office.

## Competitive Advantages
- **Energy-First Approach**: The company’s core differentiator is its vertical integration starting from energy sourcing. It uses "environmentally aligned power sources" (wind, solar, hydropower, geothermal, natural gas with carbon capture) to power its AI factories, including pioneering technology to convert wasted natural gas into energy.
- **Vertical Integration**: Controls the entire stack—from finding innovative energy sources to building and managing hyperscale data centers and operating the cloud platform.
- **NVIDIA Partnership**: Close partnership with NVIDIA, providing access to the latest and highest-performance GPU hardware for its cloud and infrastructure.
- **Proven Performance**: Claims 99.98% uptime, 100% customer satisfaction score, and significant cost/performance advantages (up to 81% cost reduction).

## Strategic Focus
- **Massive Infrastructure Expansion**: Aggressively scaling its data center footprint, with major projects in Abilene, Texas (Stargate) and Wyoming (Tallgrass), and expansion into Europe.
- **Deepening AI Cloud**: Continuing to build out its Crusoe Cloud platform with managed services (Kubernetes, Slurm, AutoClusters) to make it easier for AI companies to use their infrastructure.
- **Responsible AI**: Emphasizing sustainability and responsible AI governance, as evidenced by achieving ISO 42001 certification and publishing an ESG report.
- **Acquisition-led Growth**: Acquired Atero (GPU memory optimization) to enhance its core technology stack.

## Why Work Here
- **Mission-Driven**: The company is united by a tangible mission: "Accelerate the abundance of energy and intelligence." Employees report high levels of engagement (92% proud to work there per internal survey).
- **Massive Growth Trajectory**: Crusoe is at the center of the AI infrastructure boom, building some of the world's most powerful AI factories. For job seekers, this means exposure to cutting-edge technology and the opportunity to scale a company from a startup to an industry leader.
- **Culture**: The company values "moving fast and making things," continuous learning, and collective genius. It describes itself as an "AI factory company" that values velocity and impact.
- **Work Policy**: Hybrid/Office presence required in most roles. Office locations include: Denver (HQ), San Francisco, Sunnyvale, Bellevue, Tulsa, Dublin (Ireland), and Tel Aviv (Israel).
- **Benefits**: Competitive compensation & equity, comprehensive health & wellness, mental health resources, retirement plans, paid time off, leave of absence programs, learning & development, volunteer time off, daily meals allowance, and other location-specific perks.
- **Engineering Culture**: Strong emphasis on technical excellence, working with large-scale systems, and pioneering new approaches to energy and infrastructure. The company values candidates' "AI fluency" in its hiring process.

## Sources
1. [crusoe.ai](https://www.crusoe.ai/)
2. [crusoe.ai/careers](https://www.crusoe.ai/about/careers)
3. [crusoe.ai/about/culture](https://www.crusoe.ai/about/careers/culture)
4. [crusoe.ai/about/company](https://www.crusoe.ai/about/company)

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