Applications are closed for this role. It was originally posted 2026-07-22. It’s no longer accepting applicants — see roles Loop%20Ai is still hiring for →, or browse the live openings below.
About this role
- Own Loop's agentic product strategy — roadmap, discovery, execution, and vision — starting with agentic BI and expanding across the portfolio.
- Be accountable for outcomes : adoption, retention, expansion, and revenue.
- Run world-class discovery and prioritize ruthlessly — decide what we build, and what we don't.
- Own the product experience end to end. Drive UX and design decisions, and shape how we staff design and engineering against the roadmap.
- Zoom in, zoom out — from market sizing, pricing, and sales projections to writing specs, testing releases, and fixing bugs with AI coding agents.
- Ship fast with engineering; use AI coding agents to prototype, validate, and unblock — writing code yourself when it helps.
- Set the bar for what "agentic" means at Loop — how our products reason, act, and earn trust.
- 6–10+ years in product, including staff-level impact.
- A track record of taking a product from early traction to real scale , with a clear entrepreneurial streak — ideally built at fast-growing AI-product companies (or you've scaled one yourself).
- Deep, hands-on AI fluency. A point of view on where agent-driven software is heading, and able to build with AI coding agents — comfortable enough in a codebase to prototype, test releases, and fix bugs.
- Exceptional at discovery, roadmapping, and ruthless prioritization , with the range to move from strategy to execution.
- Can engage customers across the spectrum — from hands-on users to C-level decision-makers — and hold your own with company leadership.
- Enterprising, ambitious, hard-working, and creative. You default to ownership and move fast.
- Based in or willing to relocate to San Francisco (on-site).
- Experience building agentic or AI-native products that reason and act — not just surface information.
- Experience taking a product horizontal , or launching multiple product lines.
- A background blending product with engineering, data science, consulting, or founding.
- Familiarity with analytics / BI, or the restaurant & retail back office.
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