Director of Product Management, Tableau AI

Salesforce Salesforce · Enterprise · Bellevue, WA +1

Director of Product Management for Tableau Cloud & Server AI product team, focusing on building AI-powered data experiences through conversational AI and intelligent analytics. The role involves owning products from concept to launch, defining product requirements, leading AI evaluations, partnering on go-to-market strategies, and engaging with customers and field teams. Requires deep experience in AI, particularly conversational AI and LLMs, with a strong track record of shipping impactful products from 0 to 1.

What you'd actually do

  1. Define and drive product requirements — Write clear, compelling PRDs that align cross-functional teams and move products from 0 to 1
  2. Lead with data and AI — Define and manage AI evaluations (Evals) to measure quality and product readiness. Leverage data to make decisions about the feature.
  3. Partner on GTM — Collaborate with Marketing on go-to-market messaging, positioning, and launch planning
  4. Engage customers and field teams — Present product vision and roadmap to customers and partner with account teams to gather feedback and drive adoption
  5. Run effective scrum ceremonies — Facilitate sprint planning, standups, and retrospectives to keep engineering teams unblocked and moving fast
  6. Champion the customer — Synthesize insights from customers, partners, and market research to inform product priorities

Skills

Required

  • 10+ years of product management experience
  • Deep experience in AI, particularly conversational AI and/or large language models (LLMs)
  • Proven ability to take products from 0 to 1
  • Strong go-to-market instincts
  • Exceptional cross-functional collaboration skills
  • Background in data analytics, business intelligence, or a data-adjacent domain

Nice to have

  • Prior software development experience
  • Experience writing or evaluating AI/ML model outputs (Evals, RLHF, red-teaming, etc.)
  • Familiarity with the Tableau or broader Salesforce ecosystem

What the JD emphasized

  • shipping impactful products
  • take products from 0 to 1
  • built new products in ambiguous spaces
  • AI evaluations (Evals)
  • writing or evaluating AI/ML model outputs (Evals, RLHF, red-teaming, etc.)

Other signals

  • AI CRM
  • conversational AI
  • intelligent analytics
  • AI-powered data experiences