AI Powered Product Manager

Medrio

6d•$120,000 - $128,000•Hybrid

About The Position

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.

Requirements

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.
Proficiency with core productivity tools: Excel, Word, PowerPoint, and standard SaaS collaboration platforms.

Nice To Haves

Knowledge of the clinical research industry—sponsors, CROs, eClinical providers, or regulatory frameworks (GCP, 21 CFR Part 11).
Hands-on experience with eClinical platforms (EDC, CTMS, eTMF, eConsent, RTSM, etc.).
Background in a formal AI builder or developer role where you shipped production-quality features with AI assistance.

Responsibilities

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 including demos, training sessions, and technical sales support as needed.
Leverage AI coding assistants, no-code/low-code builder platforms, and vibe coding techniques to produce interactive prototypes that validate ideas before a single line of production code is written.
Demonstrate new feature concepts to internal teams and customers using working builds—reducing ambiguity and accelerating stakeholder alignment.
Champion AI-augmented workflows within the product team: prompt engineering for spec drafting, automated test case generation, rapid documentation, and more.
Stay current with the evolving AI tooling landscape and continuously bring high-value techniques back to the team.
Own and maintain a well-groomed product backlog: write high-quality user stories with clear acceptance criteria, detailed test cases, and supporting visuals.
Collaborate daily with the Scrum team—developers, QA, and design—to ensure features are built, tested, and shipped to spec and on schedule.
Communicate sprint progress, milestones, risks, and blockers to all stakeholders with clarity and consistency.
Author and maintain customer-facing content: user manuals, in-app help, best practices guides, and release notes.
Develop internal documentation—feature specs, process guides, and onboarding materials—keeping knowledge accessible and up to date.