Senior Product Manager

ZoomInfo ZoomInfo · Enterprise · Waltham, MA · 965 Product Management - AI & Strategy

Product Manager for an enterprise AI platform focused on chat, agents, tools, and dashboards. The role involves owning the core product experience, driving agent platform evolution, shaping the dashboard and analytics layer, managing the tooling ecosystem, and acting as the voice of multiple internal departments. Requires experience with AI/ML products, internal platforms, and enterprise software.

What you'd actually do

  1. Own the Core Product Experience. You own chat, agents, tools, and dashboards — the surfaces where 2,700+ users interact with the platform every day. Define what gets built, how it works, and why it matters. Prioritize ruthlessly across a product with enormous surface area, balancing power-user depth with new-user accessibility. Ship improvements that users notice on Monday morning.
  2. Drive Agent Platform Evolution. 6,600+ agents have been built on your platform. Your job is to make the next 6,600 easier, faster, and more powerful. Own the agent creation experience, the sharing and discovery model, the scheduling system, and the analytics that help builders understand what's working. Understand how a sales rep in their first week and a principal engineer with 15 years of experience both need to succeed with the same tool.
  3. Shape the Dashboard and Analytics Layer. Users need to understand what's happening — their conversations, their agents' performance, their team's adoption, their cost. Own the dashboards and analytics surfaces that make the platform transparent and manageable. Define the metrics that matter for individual users, team leads, and platform administrators.
  4. Manage the Tooling Ecosystem. Agents are only as powerful as the tools they can invoke. Own the tooling layer — how tools are surfaced, configured, and composed within the chat and agent experiences. Partner with integration teams to ensure new MCP connections translate into capabilities users can actually leverage without reading documentation.
  5. Be the Voice of 10 Departments. Your users span Sales, CS, Marketing, Engineering, RevOps, Data, Finance, Legal, HR, and Customer Experience. Each has different workflows, different expectations, and different definitions of "done." Build feedback loops that surface real needs, not just loud requests. Spend time with users. Watch them work. Understand the difference between what they ask for and what they actually need.

Skills

Required

  • 6 years of product management or adjacent strategy experience
  • at least 2 year working on AI/ML products
  • 1 year working on internal platform products
  • Experience owning a product portfolio with real daily users
  • shipped improvements to people who depend on your product
  • used to working with teams of engineers
  • Familiarity with AI/LLM products
  • understand the basics of how conversational AI, agents, and tool-calling work
  • Comfortable with data
  • can SQL
  • read a dashboard
  • run a user experience test
  • use metrics to make prioritization decisions
  • Track record of working cross-functionally
  • navigated competing stakeholder needs
  • made prioritization calls that not everyone agreed with
  • Experience with enterprise software or internal tools

Nice to have

  • Technically Curious, Not Technically Intimidated
  • understand how agents work well enough to have credible conversations with engineers
  • identify when a technical constraint is real versus assumed
  • prototype ideas when words aren't enough
  • read release notes for fun
  • tried building something with an LLM API at least once

What the JD emphasized

  • AI/ML products
  • internal platform products
  • AI/LLM products
  • agents
  • tool-calling
  • enterprise software
  • internal tools

Other signals

  • enterprise AI platform
  • conversational AI
  • agent builder
  • internal-turned-commercial AI platform
  • product that IS the AI platform