Product Manager — AI Products

Product Manager — AI Products BuzzBoard · Remote (WFH) · Product About BuzzBoard BuzzBoard builds AI products for the B2SMB market — helping agencies, media companies, and sellers understand small businesses and market to them at a level of personalization that wasn't previously economical. Our platform is built on frontier models end to end. Not AI features bolted onto a legacy product — the products are agent systems. Our products span multi-agent marketing content generation, real-time AI voice intake, and pre- and post-sales intelligence for SMBs — Zylo, IRIS, Ignite, and Ember. They share a common internal pipeline for orchestration, retrieval, tool use, evaluation, and deployment, and a spec-driven development process that treats agent behavior as a first-class design artifact. The role This is a Product Manager role for people who build, not just specify. Two things are equally true about how we work, and both are non-negotiable expectations of this role: 1. The products you own are agent systems, and they are non-deterministic. Your design surface is prompts, tool definitions, retrieval strategy, schema contracts, model selection, fallback behavior, and failure modes. “The model got it wrong” is a product bug you are expected to diagnose and specify a fix for — not escalate. 2. You use these models to do the product work. You will write specs, generate structured data, produce working HTML prototypes, run evaluation batches, and analyze output quality using the same models the products run on. Our specs ship as machine-readable handoff sets, and prototypes ship with live model stubs. If your definition of a spec is a Confluence page of prose, this role will be uncomfortable. What you'll actually do Own one or more product lines — outcomes, roadmap, sequencing, and the quality bar Write the spec set engineering builds from: product spec, engineering spec, model spec, and handoff readiness — decisions resolved, not deferred Design the agent behavior — prompt a