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Disco is a commerce media network connecting 1,000+ eCommerce advertisers to consumers on major retail platforms including Mindbody, Gopuff, Fabletics, and Knitwell Group. The company has raised $26M from top-tier investors (Felicis Ventures, Bessemer Venture Partners, Shopify) and operates a network spanning 150M+ permissioned U.S. shopper profiles, driving over $1B in GMV.
Disco operates as an AI-first company with an in-house bidding and ad-serving stack, an agentic development pipeline where every pull request flows through custom harnesses, and a CEO who ships models to production via AI agents. The company is now entering its second act: building and productizing the orchestration layer that ties everything together—model routing, eval loops, agent graphs, and the logic that determines which model solves which problem.
You will own Disco's AI platform end-to-end as an AI/ML Product Manager. Your core mission is ensuring the platform remains model-agnostic and harness-agnostic, so the company can swap vendors or adopt better models in days rather than months. You'll own the evaluation loops that measure what's working, the safety harnesses that make AI production-ready, and the agentic pipeline that lets a 25-person team operate with the velocity of 200.
This is a technical product role requiring deep hands-on expertise. You won't just write specs; you'll redesign the orchestration layer, evaluate models and harnesses against each other, analyze token burn and cost efficiency, debug eval logic, and troubleshoot workflows. You're building Disco's AI operating system and will be the closest thing the company has to its owner.
Key ownership areas include model orchestration and routing logic, evaluation frameworks and metrics, safety and production harnesses, agentic pipeline architecture, and vendor/model evaluation and selection. You'll work cross-functionally with engineering, data, and business teams to ensure the platform scales with the company's growth.