Senior Product Manager, AI-Native (Tableau Applied AI)

Quick Facts

• Role: Senior Product Manager, AI-Native (Tableau Applied AI)

• Focus: Agentic, AI-native product experiences for the Tableau analytics workflow

Description

Lead AI-native agentic builder experiences in Tableau that take part in the full cycle of data analysis—from framing outcomes and finding/preparing data to exploring, explaining changes, and turning results into trusted models and proactive insights. Make analysis something users direct by using agents that plan steps, run on governed data, show reasoning, and produce insights users can refine, publish, and share. Own the product area end-to-end: vision, roadmap, shipping, quality, and impact measurement.

Responsibilities

• Shape the vision for AI-native experiences across every stage of data analysis and sequence the roadmap with clear bets, metrics, and trade-offs

• Understand customer problems through research, data, and direct customer interactions; translate into clear problem framing

• Manage and communicate the roadmap; keep it current as models, platforms, and customer needs change

• Collaborate with engineers and designers to prototype, build, and ship iterative product solutions

• Use AI to increase personal efficiency, accelerate product development, and set standards for AI-assisted product design

• Evaluate impact using quantitative and qualitative measures in beta and after release (adoption, friction points, success stories)

• Maintain product quality and ensure world-class software delivery

• Coordinate with peers for GTM strategy and execution; get hands-on when needed

Requirements

• 4+ years in product management, including shipping consumer-grade AI or ML-powered features to customers

• Deep understanding of data analysis workflows: data preparation, semantic models and metrics, exploratory analysis, visualization, dashboards, and data apps

• Hands-on experience with agentic systems and frontier models (prompting, tool/function calling, retrieval and grounding, multi-step planning, and limitations)

• Experience defining and running AI evaluations (offline eval sets, human review, online metrics) to drive product decisions

• Track record taking products from early prototype to general availability via close repeated customer engagement

• Ability to write a clear product vision, rally engineering/design/research, and make trade-offs with urgency

Benefits

• Time off programs

• Medical, dental, and vision

• Mental health support

• Paid parental leave

• Life and disability insurance

• 401(k)

• Employee stock purchasing program