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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.
In this role, you sit on the front line engaging directly with enterprise clients. You lead discovery to uncover core business challenges, design tailored AI solutions on Unframe's platform, and own delivery end-to-end. You serve as the strategic and technical bridge from initial conversation through final deployment—a true builder role where you write precise specifications and prompt architectures that determine whether enterprise AI deployments succeed.
You will manage multiple engagements simultaneously with short planning horizons and evolving requirements. Approximately 30–40% of the role involves active client management, ensuring senior stakeholders remain aligned through delivery, progress reviews, and post-deployment rollouts.
Key responsibilities:
- Lead enterprise discovery sessions directly with clients to map workflows, uncover business challenges, and distinguish surface-level requests from 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; prioritize requirements and manage tradeoffs across speed, stability, and scope
- Represent the user and platform by acting as the voice of enterprise operators while identifying reusable product patterns with the Platform team
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
- Bilingual fluency in English and French; fluent French to connect with users and stakeholders in France; fluent English for daily collaboration across international teams
- 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
- Ability to manage senior client relationships through complex delivery; keep stakeholders aligned, navigate competing priorities, and serve as primary point of contact when requirements shift or timelines compress
- Ability to start from raw business problems without existing features for reference; define how AI solutions should function and write 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
- Builder orientation driven by creating customer-facing solutions rather than managing traditional roadmaps
- Strong written communication, systems thinking, high attention to detail, and ability to navigate multi-faceted projects
