Vice President, Product Management, Managed AI
About this role
The day-to-day work for the Vice President of Product Management, Managed AI at Crusoe involves setting the long-term vision, strategy, and roadmap for the rapidly scaling Managed AI Services portfolio. This portfolio encompasses offerings such as Managed Inference, Serverless Fine Tuning, Serverless Reinforcement Learning, and Agent Sandbox. The role requires deep involvement in defining the strategy aligned with customer needs, company objectives, market trends, and the go-to-market strategy. A significant part of the work involves leading and mentoring a team of product managers, ensuring their performance and development.
This position exists to guide the commercial and product success of Crusoe's Managed AI Services as the company expands its vertically integrated AI infrastructure. The individual will act as the central driver, partnering closely with engineering, sales, marketing, and customer success to move features from concept through launch and scale. The role is designed for a leader who can navigate complex technical and commercial landscapes to ensure the portfolio achieves its revenue and adoption targets.
This role is well-suited for a strategic leader who thrives on building something new in a high-growth environment. Ideal candidates are problem-solvers with a strong sense of urgency who are comfortable operating at a scale where the path is not fully defined. Success in this role depends on the ability to translate complex technical capabilities into tangible business outcomes and foster strong cross-functional collaboration across the organization.
What you will do
- Define the long-term vision, strategy, and roadmap for the Managed AI Services portfolio, ensuring alignment with customer needs, company goals, market trends, and the GTM strategy.
- Build, lead, and mentor a team of product managers, taking ownership of their performance and professional development.
- Partner with engineering, technical program management, product partnerships, marketing, customer success, and sales to define requirements and prioritize features for successful launch and adoption.
- Own the business metrics for the portfolio, including usage, reliability and production KPIs, pipeline, revenue, gross margin, and customer satisfaction, using this data to inform strategic decisions.
- Shape the go-to-market strategy by collaborating with sales, marketing, and customer success on positioning, messaging, pricing, and partnership strategies.
- Build relationships with key customers and ecosystem partners to translate feedback into product improvements and explore partnership and M&A opportunities.
- Track the competitive landscape and emerging technologies to inform the strategy and identify new product opportunities.
- Proactively identify and resolve technical and commercial risks, infrastructure bottlenecks, and scaling challenges while managing product budgets.
What you need
- A proven track record in product management specifically for AI/ML services, including experience building and scaling AI managed services from inception.
- First-hand experience with specific AI managed services such as inference, tuning, reinforcement learning, and agent sandboxes, along with associated observability and evaluation practices.
- A strong comprehension of cloud infrastructure technologies and trends, preferably gained from building planet-scale cloud products at a hyperscaler or specialized provider.
- Experience managing and launching technical products and features tailored for AI-native, digital-native, and enterprise customers.
- Demonstrated experience in building, leading, and mentoring product management teams effectively.
- Strategic leadership capabilities, including the ability to establish a clear vision, make decisions with incomplete information, and guide cross-functional teams toward market awareness and revenue goals.
- Analytical rigor, specifically the comfort level in interpreting complex market, customer, and production data to drive product strategy.
- Excellent communication and collaboration skills, necessary for presenting technical concepts, linking them to business results, and building consensus among diverse stakeholders.
Nice to have
- 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 fine-tuning
Benefits
- $345,000 – $385,000 salary
Skills and tech stack
Questions candidates ask
What is the typical compensation range for this role?
The salary offered for this position ranges from $345,000 to $385,000.
What is the team structure like?
The VP of Product Management will report directly to the SVP of Product Management and will partner directly with the VP Engineering for Managed AI Services.
What is the focus of the product portfolio?
The portfolio includes Managed Inference (Serverless, Self-Deployed and Tailored Deployment), Serverless Fine Tuning, Serverless Reinforcement Learning, and Agent Sandbox, with the latter set to launch in H2 2026.
What is the hiring process like?
The posting does not specify the details of the hiring process.