Senior/Staff Product Manager, AI Agents
About the role
We're building AI agents that don't just assist — they act. Autonomously. At scale. Across the most consequential moments in our product. This role owns the strategy, quality, and business impact of that system — and defines how the entire company builds with AI going forward.
Responsibilities
Own the roadmap. Not a feature backlog — a sequenced, opinionated strategy tied directly to business outcomes.
Decide what we build, what we buy, and when we switch vendors as the landscape shifts.
Identify product, technical, and regulatory constraints 6–12 months out and architect around them before they become blockers.
Partner with Legal and Compliance to build patterns that keep us compliant without slowing us down.
Prioritize the campaigns and workflows that maximize operational efficiency while driving incremental revenue.
Partner with GTM to expand adoption across segments and turn agent performance into top-line growth.
Create the playbooks, evaluation frameworks, prompt engineering standards, vendor assessment criteria that let other PMs ship AI features without you in the room.
Build organizational AI fluency across Operations, GTM, Legal, and leadership so the company makes better decisions about where AI fits.
Requirements
8+ years of product management experience, with some demonstrable expertise building AI/LLM-powered products — conversational AI, AI agents, or similar.
Hands-on experience with prompt engineering, LLM evaluation frameworks, and conversation design (not just managing engineers who do this work).
Track record of strategic build-vs-buy decisions for AI infrastructure.
Experience shipping in ambiguous, rapidly evolving technical domains.
Strong technical fluency — comfortable discussing system architecture, API design, and latency/cost trade-offs with engineers.
Analytical Rigor: Defines what "good" looks like for AI systems through quantitative and qualitative evaluation. Structures experiments that accelerate learning.
Truth-Seeking: Pressure-tests assumptions, including your own. Seeks disconfirming evidence before committing. Delivers uncomfortable truths with clarity.
Collaboration & Influence: Drives alignment across Product, Engineering, Legal, Operations, GTM, and clients. Translates complex AI concepts for diverse audiences.
Ownership & Velocity: Takes on ambiguous problems before being asked. Moves fast with incomplete information. Ships and iterates rather than perfecting.
Preferred Experience
Building conversational AI at scale at a high-growth company.
Familiarity with AI agent platforms and their trade-offs.
Experience coaching other PMs on AI best practices.
What We're Looking For
AI Strategy: Defines compelling product vision and translates it into sequenced, high-conviction bets. Makes principled trade-offs that others adopt as decision frameworks.
AI/LLM Product Craft: Deep product intuition for building with LLMs, conversation design, prompt engineering, evaluation. Stays ahead of the landscape and translates shifts into product decisions before the market catches up.
Technical Depth: Partners with engineering on infrastructure and architecture trade-offs. Reasons about latency, cost, API design, and observability at the level engineers respect.
Analytical Rigor: Defines what "good" looks like for AI systems through quantitative and qualitative evaluation. Structures experiments that accelerate learning.
Truth-Seeking: Pressure-tests assumptions, including your own. Seeks disconfirming evidence before committing. Delivers uncomfortable truths with clarity.
Collaboration & Influence: Drives alignment across Product, Engineering, Legal, Operations, GTM, and clients. Translates complex AI concepts for diverse audiences.
Ownership & Velocity: Takes on ambiguous problems before being asked. Moves fast with incomplete information. Ships and iterates rather than perfecting.
Experience Required
Experience required: 8+ years of product management experience, with some demonstrable expertise building AI/LLM-powered products — conversational AI, AI agents, or similar.
Hands-on experience with prompt engineering, LLM evaluation frameworks, and conversation design (not just managing engineers who do this work).
Track record of strategic build-vs-buy decisions for AI infrastructure.
Experience shipping in ambiguous, rapidly evolving technical domains.
Strong technical fluency — comfortable discussing system architecture, API design, and latency/cost trade-offs with engineers.
Analytical Rigor: Defines what "good" looks like for AI systems through quantitative and qualitative evaluation. Structures experiments that accelerate learning.
Truth-Seeking: Pressure-tests assumptions, including your own. Seeks disconfirming evidence before committing. Delivers uncomfortable truths with clarity.
Collaboration & Influence: Drives alignment across Product, Engineering, Legal, Operations, GTM, and clients. Translates complex AI concepts for diverse audiences.
Ownership & Velocity: Takes on ambiguous problems before being asked. Moves fast with incomplete information. Ships and iterates rather than perfecting.
Compensation Range
$185K - $244K