Senior AI Product Manager

About the Role

We're looking for a Head of Product, AI to lead our currently (and hopefully always) small engineering team. The twist: you’ll also be coding & building every day. Let us explain ~

• As AI models evolve, engineering, product management, and design are all changing. We believe old job descriptions should be completely tossed out the door. The future belongs to “builders”: people that are strong engineers, but essentially act as their own PM’s, designers, and user researchers. They talk to customers, decide what to build, how to build it, and have the highest bar for product & UX “taste”.

• As Head of Product, AI you will call the shots - talk to customers, decide what we build, why we build it, and how we build it. You will lead an engineering team (of both humans & agents). However, you will also be an IC building a lot yourself. Why?

• Now, more so than ever, it is impossible to be good at product without being deep, hands on building AI products using AI products every day. You have to be deep in the weeds if you want to call the shots.

• The era of middle management is gone. With the power of AI, the next generation of product leaders will drive impact through both people and agents, master both breadth & depth over vast amounts of product surface area, and earn their influence through not just their ideas but what they build.

Requirements

• Graduated with a bachelors in computer science or related degree.
• At least 2 years of software engineering experience in industry.
• (Preferred) at least 1 year of experience as a Product Manager.
• Strong engineering experience AND PM experience.

Asha is building an AI operating system for outpatient care. Demand is ahead of what the team can deliver, contracted ARR is piling up, and engineering is the #1 lever for growth. This is a bet on an ambitious builder, not a seasoned 10+ YOE product leader, who is ready to step up and possibly lead a team for the first time.

What will you be doing?

• Talking directly to customers and deciding what to build, why to build it and how to build it
• Coding and shipping AI products end-to-end every day as a hands-on IC
• Leading a small, high-ownership engineering team made up of both humans and AI agents
• Owning the product roadmap and the bar for product and UX "taste" across a large product surface
• Working side by side with the CEO, CTO and CMO every day to turn contracted ARR into shipped product