Head of Product, Applied AI

Raydar•New York, NY

3d•$265,000 - $310,000•Onsite

About The Position

Our client is a public-safety technology company providing real-time situational awareness to millions of consumers and enterprise organizations. Its mobile and enterprise products help people and teams understand incidents, share updates, and make informed decisions when safety matters. As Head of Product, Applied AI, you will unify a growing portfolio across consumer, subscription, enterprise, and API products. This is a principal-level individual contributor role reporting directly to the Founder and CEO, where you will build AI-agent systems that expand product execution rather than manage a traditional team of product managers.

Requirements

5-12 years of product leadership experience with substantial hands-on ownership.
Experience owning product direction end to end as a principal or lead product manager, founder, or similarly hands-on product builder.
Consumer product experience across mobile, subscription, or product-led growth, with startup or small-company exposure.
Experience building and operating AI-agent systems for product workflows, beyond using AI tools only for prompts.
Strong metric architecture and experimentation skills across conversion, retention, revenue, and plan mix.
The ability to speak with customers directly, understand complex needs, and turn them into clear product decisions.

Nice To Haves

Experience with enterprise or API product packaging and pricing.
Founder experience or product leadership at an AI-native company.
Comfort challenging assumptions with customer evidence and metrics while working closely with a founder.

Responsibilities

Shape one coherent product strategy across consumer experiences, subscriptions, enterprise tools, and APIs.
Own consumer product loops, including activation, retention, daily engagement, pricing, packaging, and upgrades.
Define enterprise product direction, API packaging, and partner integrations for organizations that need situational awareness.
Build and operate agent workflows for discovery synthesis, competitive research, product specifications, experiment design, forecasting, and launch documentation.
Establish metrics and experimentation practices across conversion, retention, enterprise expansion, and revenue planning.
Work directly with the Founder and CEO, customers, and cross-functional partners to prioritize and deliver product outcomes.