Founding Product Manager - US

voize•New York, NY

1d•$170,000 - $200,000•Hybrid

About The Position

voize is seeking a Founding Product Manager to be their first product hire in the US. This role will own the US product strategy and its scaling. voize has developed AI companions to take over digital workflows for frontline workers, starting with nurses. The company has secured $50M in Series A funding and is used by over 200,000 users. The product has evolved from an AI voice scribe for nursing documentation to an intelligence operating layer supporting nurses and care leadership. The goal is to transition current US pilots into a scaled business. The role reports to the Head of Product, Markets, and collaborates with the CEO and the New York team.

Requirements

Shipped products into high-stakes, complex regulated environments (e.g., healthcare, field service, logistics).
Possess systems thinking skills and work fluently with engineers and ML as a peer.
Shipped agentic products and use agents in daily work.
Action-oriented with the ability to make strong bets with partial information and adapt quickly.
Strong product taste, pragmatic approach, and high standards for shipped products.
Resilience; seeing challenges as opportunities.
Iterative working style; testing, learning, and improving constantly.
Value open communication and constructive feedback.
Willingness to travel across the US regularly as part of the role.

Nice To Haves

Entrepreneurial product builders, hungry founders or engineers who have built before, or zero-to-one product managers who thrive in ambiguity.
Extraordinary twists and turns in career experience.

Responsibilities

Shape the business by deciding with the CEO and GTM what to sell, to whom, and what the product needs to prove first.
Pioneer with nurses by working alongside them onsite in hospitals and care homes to understand their workflows and build a product they love.
Build, test, and repeat by turning pilots into evidence of user adoption and identifying reasons for non-adoption.
Form hypotheses about user needs versus stated needs and validate them in real workflows.
Ship what matters by writing requirements, tracking metrics, and setting up data and feedback mechanisms.
Make decisions with Engineering and ML regarding reusable platform components versus US-specific features, and navigate EHR integration and compliance trade-offs.