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Unframe is an AI-first startup helping enterprises deploy LLM-powered applications at scale. Backed by Bessemer, Craft, and TLV Partners with $100M in Series B funding, the company combines product-company speed with consultancy flexibility to move customers from idea to deployed AI systems faster than competitors.
This is a hands-on, project-led Product Manager role sitting at the front line of enterprise client engagement. You will own end-to-end delivery of tailored AI solutions, serving as the strategic and technical bridge from initial discovery through final deployment. The role is approximately 30-40% active client management, with the remainder focused on solution design, specification, and cross-functional delivery.
Key responsibilities:
- Lead enterprise discovery sessions directly with Fortune 500 clients to map workflows, uncover business challenges, and translate surface-level requests into fundamental operational needs
- Design and specify AI solutions by translating customer problems into structured solution plans on Unframe's platform; write detailed specs and define prompt and context structures
- Drive end-to-end delivery by collaborating with engineers and AI specialists, prioritizing requirements, and managing tradeoffs across speed, stability, and scope
- Manage multiple simultaneous engagements with short planning horizons and evolving requirements
- Represent enterprise users and domain experts to the Platform team, identifying reusable product patterns
- Maintain senior stakeholder alignment through delivery, progress reviews, and post-deployment rollouts
This is a true builder role requiring both product thinking and technical depth. You will write precise specifications and prompt architectures that determine whether enterprise AI deployments succeed, with unmediated access to clients at every stage.
REQUIREMENTS:
- 4+ years of experience in product management or technical delivery roles, with proven track record working alongside engineering teams on complex, fast-paced technical products
- Proven experience personally leading consultative conversations with enterprise buyers and operators—owning the conversation to surface unstated needs and translate them into clear solution scope (not supporting sales calls or interviewing platform users)
- Ability to manage senior client relationships through complex delivery, keeping stakeholders aligned, navigating competing priorities, and serving as primary point of contact when requirements shift or timelines compress
- Ability to start from raw business problems without existing features for reference, defining how AI solutions should function and writing precise specs for build teams
- Experience shipping AI-powered features under tight timelines, managing evolving requirements, and documenting strategic tradeoffs
- Direct exposure to building with LLMs: writing prompt structures, defining context and output constraints, working with agentic systems, or managing model uncertainty in shipped products or working prototypes (concrete work product valued over certification)
- Builder orientation driven by creating customer-facing solutions rather than managing traditional roadmaps
- Strong written communication, systems thinking, high attention to detail, fluent English (written and verbal)
- US work authorization required
- Based in United States; East Coast or New York preferred for shared office time, though strong candidates across US considered
