Forward Deployed Product Manager, AI Agent

Cresta Cresta · Vertical AI · ON, US, Canada · Remote · Product

Product Manager role focused on deploying, optimizing, and iterating on AI Agents for enterprise customers, working closely with Forward Deployed Engineers and customer stakeholders to drive business outcomes and shape the AI agent platform.

What you'd actually do

  1. Own AI Agent outcomes for our customers — defining and delivering on the metrics that move the needle. This includes finding additional automation opportunities that can provide even more value!
  2. Own the deployment lifecycle for AI Agents — from pre-sale scoping and kickoff to launch and post-go-live optimization
  3. Design, build, test and iterate on AI agents in partnership with FDEs using Cresta’s internal tools and the latest technologies to deliver the highest customer ROI
  4. Lead customer relationships and act as the primary point of contact for AI Agent. Help prospects and customers move faster to ensure we can deliver quickly and effectively.
  5. Facilitate workshops and design sessions with customer stakeholders to align on agent use cases, workflows, and success criteria while gathering feedback to improve the AI agent platform

Skills

Required

  • 5+ years of experience in Technology Consulting, Implementations, Product, or Customer Success roles
  • Hands-on work style – curiosity with a bias for action
  • Experience leading complex deployments
  • owning customer relationships (including senior customer stakeholders)
  • working cross-functionally
  • Strong technical understanding
  • systems thinking
  • exposure to building Agents

Nice to have

  • ideally working closely with AI or LLM first products
  • Background in product management, conversation design or forward deployed engineering roles
  • Experience in a startup or high-growth SaaS environment
  • Familiarity with customer support and contact center operations

What the JD emphasized

  • Own AI Agent outcomes for our customers
  • Own the deployment lifecycle for AI Agents
  • Design, build, test and iterate on AI agents
  • Lead customer relationships
  • Strong technical understanding
  • exposure to building Agents

Other signals

  • customer-facing AI product
  • AI agent deployment and optimization
  • cross-functional collaboration with engineering