January

January

Senior/Staff Product Manager, AI Agents

New York City · Staff+

Sponsorship not specifiedDetected 127 days ago
API DevelopmentLLMsAgentic AIProduct ManagementProduct StrategyLeadershipCollaborationMentoring

About the role

  • Across the most consequential moments in our product.
  • You'll pressure-test our assumptions about what agents can become, bring product rigor to a domain where we've been moving fast without it, and set the standard other PMs learn from.
  • We have early traction and strong conviction.

Responsibilities

  • Deep product intuition for building with LLMs, conversation design, prompt engineering, evaluation.
  • Partners with engineering on infrastructure and architecture trade-offs.
  • Reasons about latency, cost, API design, and observability at the level engineers respect.
  • Pressure-tests assumptions, including your own.
  • Delivers uncomfortable truths with clarity.
  • You'll architect how AI agents reason, decide, and execute across complex workflows - then build the systems that make them reliable, measurable, and continuously improving.
  • You'll decide what we build, what we buy, and when we switch vendors as the landscape shifts.
  • You own the full agent UX: conversation flows, authentication, multi-topic handling, all designed for user trust and measurable conversion outcomes.
  • You'll partner with Legal and Compliance to build patterns that keep us compliant without slowing us down.
  • You'll partner with GTM to expand adoption across segments and turn agent performance into top-line growth.

Requirements

  • You know that clarity scales and that a well-written doc often accomplishes more than an hour-long meeting.

Nice to have

  • Hands-on experience with prompt engineering, LLM evaluation frameworks, and conversation design (not just managing engineers who do this work)
  • Experience shipping in ambiguous, rapidly evolving technical domains
  • Familiarity with AI agent platforms and their trade-offs
  • Experience coaching other PMs on AI best practices
  • Collaborative Ownership beats Fiefdoms.
  • You step into gaps without being asked.
  • You seek to bring in the right people.
  • Speed beats perfection.

Skills

  • Revenue impact.

Compensation

  • As a New York City-based company, we are dedicated to transparent, fair, and equitable compensation practices that reflect our commitment to fostering an environment where all team members are valued and supported.

Benefits

  • Defines compelling product vision and translates it into sequenced, high-conviction bets.

Company info

  • Inputs beat outcomes. You evaluate decisions by the thinking behind them, not just results. Good process increases the odds; bad outcomes don't always mean bad decisions.
  • Why beats what. You diagnose before prescribing. You're more interested in root causes than symptoms, and you share context so others can make good decisions without you.
  • Writing beats meetings. You structure your thinking on paper. You know that clarity scales and that a well-written doc often accomplishes more than an hour-long meeting.
  • This role owns the strategy, quality, and business impact of that system - and defines how the entire company builds with AI going forward.
  • How the company builds with AI - beyond this role.
  • We have early traction and strong conviction. What we need is a staff PM who turns that into a platform - one that expands what AI agents can own, accelerates how fast we ship them, and fundamentally changes our unit economics.
  • What we need is a staff PM who turns that into a platform - one that expands what AI agents can own, accelerates how fast we ship them, and fundamentally changes our unit economics.

This listing is sourced directly from January's careers page and normalized into a canonical job model.