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About the role
As an AI-Powered Product Manager, you will bridge the gap between customer needs and technical execution by acting as a hybrid product strategist and AI-assisted builder. You will leverage cutting-edge AI coding assistants and no-code/low-code platforms to rapidly build interactive prototypes, validating feature concepts with stakeholders before production development begins. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 4+ years of experience in a product role—product management, product development, or a hybrid builder/PM function
- Demonstrable history of using AI tools (Cursor, Replit, Lovable, v0, Bolt, Claude, ChatGPT, etc.) to build and ship working prototypes—"vibe coding" is your superpower, not a buzzword
- Solid grounding in Agile/Scrum: backlog management, sprint ceremonies, user story writing, and acceptance-criteria definition
- Experience writing functional requirements and detailed test cases in an Agile environment
- Exceptional written and verbal communication skills—you write clearly, present confidently, and adapt your message for technical and non-technical audiences
- Comfortable working in the fast, ambiguous, high-ownership environment of a small, growth-stage company
More about this role
As an AI-Powered Product Manager, you will bridge the gap between customer needs and technical execution by acting as a hybrid product strategist and AI-assisted builder. You will leverage cutting-edge AI coding assistants and no-code/low-code platforms to rapidly build interactive prototypes, validating feature concepts with stakeholders before production development begins. The ideal candidate brings 4+ years of product experience, thrives in a fast-paced growth environment, and possesses the exceptional communication skills needed to align both technical teams and non-technical customers.
Customer & Stakeholder Engagement
- Partner closely with customers to define, document, and validate the scope, functionality, and usability requirements for software features.
- Translate discovery findings into clear, actionable artifacts—user stories, storyboards, annotated wireframes, and working AI-generated prototypes—so stakeholders can see and react to ideas, not just read about them.
- Manage customer expectations transparently around feature development timelines, releases, and training—keeping communication proactive, not reactive.
- Represent the product in customer-facing settings...
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