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Product Manager

Unframe AI· Product Solutions
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RemotePosted 2w ago

About the role

Product Manager at Unframe, an AI-first startup helping enterprises deploy LLM-powered applications. You will engage directly with enterprise clients, lead discovery, design and ship tailored AI solutions on Unframe's platform, and own work end-to-end from initial conversations to final deployment. This is a builder role with writing specs and prompt architectures, and is remote.

Responsibilities

  • 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.

Qualifications

  • 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.
  • Customer-Led Discovery: 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.
  • 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 by creating customer-facing solutions rather than simply managing traditional roadmaps or processing requests.
  • Core Competencies: Strong written communication, systems thinking, high attention to detail, fluent English (written and verbal), and the ability to navigate multi-faceted projects.

Skills

Required:Enterprise discovery and consultationSolution design and specification writingEnd-to-end delivery managementAI/LLM experienceStakeholder managementWritten and verbal communication
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Unframe AI

The Managed AI Delivery Platform

Go beyond generic tools with Unframe’s enterprise AI solutions - secure, governed, production-ready, and built to deliver measurable ROI fast.

AI solutionsenterprise AIAI platformcustom AI solutionsAI integrationsecure hostingon-premprivate cloud
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