Podcast · June 28, 2026 · 20 min

How a Google AI PM Runs an Agent Team for Research, GitHub and Content

A Google AI PM's scheduled agent squad supports a 110,000-star repo and 350,000+ developers — managed from Telegram, escalating only what needs a human.

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Shubham SabooSenior AI Product Manager, Google

Shubham Saboo supports a 110,000+ star GitHub repository and content for more than 350,000 developers — with a scheduled team of AI agents doing the recurring work.

Managed through Telegram, the squad includes a chief-of-staff agent, a research agent, an engineering-triage agent, platform-specific content agents and a newsletter agent. Cron jobs and daily decision queues make the agents proactive rather than reactive; 30-day performance data, self-review loops and biweekly squad reviews keep them accountable; and only the decisions that genuinely need a human ever reach one. Underneath, OpenClaw is the squad layer and Hermes the operating interface.

His starting advice is deliberately unglamorous: automate one repetitive workflow, give the agent context and boundaries the way you would a new hire, and expand its responsibilities only after it performs reliably.