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Product Manager; English​/French

Job in Boise, Ada County, Idaho, 83701, USA
Listing for: Unframe
Full Time position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    AI Business & Operations, AI Engineer (Applied/Software), IT Business Analyst, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 78000 - 134000 USD Yearly USD 78000.00 134000.00 YEAR
Job Description & How to Apply Below
Position: Product Manager (English/French)
Описание:

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market. Backed by Bessemer, Craft, and TLV Partners with $100M in Series B funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally This role sits on the front line: you engage directly with enterprise clients, lead discovery to uncover core business challenges, and design and ship tailored AI solutions built on Unframe's platform.

You own the work end-to-end, serving as the strategic and technical bridge from initial conversation through to final deployment. This is a true builder role. You write the precise specifications and prompt architectures that bring solutions to life, making the critical design decisions that determine whether an enterprise AI deployment actually succeeds.

Задачи:

This is a project-led role with unmediated access to clients at every stage. You will typically manage several engagements simultaneously, with short planning horizons and evolving requirements. Roughly 30 to 40 percent of the role is active client management, ensuring senior stakeholders remain aligned through delivery, progress reviews, and post-deployment rollouts.

  • Lead Enterprise Discovery:
    Conduct discovery sessions directly with enterprise clients to map workflows, uncover business challenges, and distinguish surface-level requests from fundamental operational needs.
  • Design & Spec AI Solutions:
    Translate customer problems into structured solution plans on Unframe's platform. Write detailed specs and define prompt and context structures, owning the complete solution design.
  • Drive End-to-End Delivery:
    Collaborate with engineers and AI specialists to deliver solutions on target. Prioritize requirements and manage tradeoffs across speed, stability, and scope.
  • Represent the User & Platform:
    Act as the voice of enterprise operators and domain experts while collaborating with the Platform team to identify reusable product patterns.
Требования:

4+ years of experience in product management or technical delivery roles, with a proven track record working alongside engineering teams on complex, fast-paced technical products.

Bilingual Fluency (English & French):
Fluent in French to connect with users and stakeholders in France, and fluent in English for daily collaboration across our international teams.

  • Customer-Led Discovery:
    Proven experience personally leading consultative conversations with enterprise buyers and operators - not supporting a sales call, not interviewing platform users, but owning the conversation to surface unstated needs and translate them into clear solution scope.
  • Enterprise Stakeholder Management:
    Ability to manage senior client relationships through a complex delivery; keeping stakeholders aligned, navigating competing priorities, and being the primary point of contact when requirements shift or timelines compress.
  • Problem-to-Solution Design:
    Ability to start from a raw business problem without existing features for reference, defining exactly how an AI solution should function and writing precise specs for build teams.
  • Complex Delivery Execution:
    Experience shipping AI-powered features under tight timelines, managing evolving requirements, and documenting strategic tradeoffs.
  • AI Solutions

    Experience:

    Direct exposure to building with LLMs - writing prompt structures, defining context and output constraints, working with agentic systems, or managing model uncertainty in a shipped product or working prototype.
  • Builder Orientation:
    Driven…
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