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Unframe is an AI-first startup helping Fortune 500 enterprises deploy LLM-powered applications in days rather than months. Backed by Bessemer, Craft, and TLV Partners with $100M in Series B funding, the company combines product-company speed with consultancy flexibility to accelerate enterprise AI adoption.
As Group Product Manager for Product Solutions, you will lead a team of Product Managers owning a portfolio of enterprise AI solutions built on the Unframe platform. This is a high-ownership, 0→1 role operating in significant ambiguity where problems are not predefined.
Key responsibilities include:
- Lead and mentor a team of PMs working on complex, high-impact AI solutions for enterprise customers
- Work directly with customers to identify the right problems to solve, define success metrics, and drive solutions from concept to production
- Own a portfolio of solutions across multiple enterprise customers, balancing priorities and trade-offs
- Support your PMs in day-to-day execution: prioritization, decision-making, and unblocking implementation
- Identify patterns across solutions and drive reuse and productization with the Platform team
- Make critical product decisions balancing speed of execution with long-term quality and scalability
- Mentor PMs to develop their product judgment and operate effectively in fast-paced, ambiguous environments
You will operate with end-to-end ownership, shaping opportunities and driving real business value for Fortune 500 customers. The role requires navigating competing needs and constraints in complex enterprise environments while maintaining focus on shipping deployed solutions.
Required qualifications: 7+ years of product management experience including 2+ years leading Product Managers in high-growth or complex environments. Proven ability to manage strong PMs while empowering ownership and independent decision-making. Track record of driving products from concept to real-world impact, balancing speed, quality, and scale. Strong cross-functional leadership skills working with engineering, AI, GTM, and customers.
