Senior Product Manager - AI Agents

Zendesk Zendesk · Enterprise · San Francisco, CA +2 · Remote

Senior Product Manager to own the AI agent infrastructure for the Forethought platform. This includes the reasoning engine, authoring tools, self-improvement mechanisms, and multi-channel infrastructure. The role requires guiding roadmap development, defining the authoring and configuration experience, setting quality standards for AI agent interactions, designing for multiple personas, and leading hypothesis-driven product development. Requires 5+ years in B2B SaaS PM with experience shipping AI/ML products, a deep understanding of language models and agentic architectures, and a track record of defining quantitative success metrics for AI systems.

What you'd actually do

  1. Guide roadmap development and prioritization for Forethought's core AI infrastructure — the reasoning, resolution, and self-improvement capabilities that power every AI agent deployed on the platform — in collaboration with Product and other stakeholders
  2. Drive the authoring and configuration experience that allows customers to build, customize, and deploy AI agents. This is the primary interface between customers and the platform's AI capabilities — it must be powerful for sophisticated users and accessible for new ones.
  3. Define what "quality" means for AI agent interactions — not just model accuracy, but the thoughtfulness, nuance, and polish of the total experience. Hold the bar for shipping product that enterprise customers trust.
  4. Design for multiple personas — end customers seeking help, support agents working alongside AI, operations leaders configuring agents, and executives measuring ROI — ensuring the platform delivers distinct, well-crafted experiences for each.
  5. Lead hypothesis-driven product development: identify customer problems through deep research and direct engagement, articulate clear hypotheses, and validate them — including through AI Proof of Concepts — before committing to full-scale builds.

Skills

Required

  • 5+ years in B2B SaaS product management
  • direct experience shipping AI/ML-powered products
  • Deep understanding of how language models, classification systems, and agentic architectures work
  • Track record of defining and tracking quantitative success metrics for AI systems
  • Strong product design sensibility
  • Demonstrated ability to design for multiple user personas with different needs, technical sophistication, and success criteria
  • Excellent communication skills

Nice to have

  • Experience with agentic AI products, workflow automation, or conversational AI platforms
  • Experience navigating post-acquisition or large-org integration environments
  • Familiarity with enterprise customer support operations and the challenges of deploying AI at scale

What the JD emphasized

  • shipping AI/ML-powered products
  • Track record of defining and tracking quantitative success metrics for AI systems
  • Experience with agentic AI products, workflow automation, or conversational AI platforms
  • deploying AI at scale

Other signals

  • AI Agents
  • reasoning engine
  • configuration and authoring tools
  • self-improvement mechanisms
  • multi-channel infrastructure
  • shipping AI/ML-powered products
  • agentic architectures
  • AI systems metrics
  • agentic AI products
  • workflow automation
  • conversational AI platforms
  • deploying AI at scale