Senior Product Manager, AI and Internal Tools
Summary
Senior Product Manager builds AI-driven internal tools to automate workflows like buying, inventory, and customer support at a subscription commerce company, turning operator pain points into scalable solutions.
FabFitFun is seeking a Senior Product Manager, AI and Internal Tools, to join our Product and Engineering team!
FabFitFun runs on dozens of operational workflows ripe for AI retooling. Buying, merchandising, inventory, billing, customer support, pricing, fraud, and CRM each have slow steps, manual handoffs, and tribal knowledge waiting to be rebuilt.
The role is AI-first and starts on the inside. You'll work with operators, engineers, and leadership to find where AI changes the economics of a workflow and where it doesn't, then build the tools that prove the case. The same insights eventually shape what we ship to members, so the work runs from the warehouse to the app.
Location: This role is remote within the USA, with a preference for candidates based in the Los Angeles area.
What You’ll Do:
- Collaborate closely with our internal team members to understand what they need, what's slowing them down, and where AI can make their work dramatically better
- Turn operator insights, company goals, team input, and the rapidly shifting AI landscape into a clear, focused roadmap that retools how FabFitFun runs
- Use what makes FabFitFun special to build internal tools no one else can, balancing proven AI playbooks with creative bets that make sense given our business
- Watch the AI tooling space and bring the best new patterns back to the team before competitors notice them
- Work closely with internal business units to ship simple, valuable internal tools through ruthless prioritization
- Phase out features and workflows that aren't pulling their weight, and prioritize what moves the P&L
- Write tight specs and prototypes when needed, using AI tools to move from idea to working proof of concept faster than traditional documentation allows
- Help rebuild legacy workflows with a fresh, AI-first mindset
- Build feedback loops into every AI feature so operators can flag bad outputs and the system gets sharper over time
- Keep everyone, from execs to operators to engineers, in the loop and excited about where AI is taking our operations and why it matters
- Work with design, engineering, and operations teams to turn rough ideas into real tools, designing for the full operator experience — including how humans stay in the loop when AI gets things wrong
- Evangelize AI across the company: run demos, teach operators how to use the tools well, and help shift the culture from "AI as a side project" to "AI as how we work"
- Mentor where you can, share what you learn, and help the team level up
