Vice President, Product Management, Managed AI

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