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Senior Product Manager, Tableau Applied AI

Salesforce · California - San Francisco · San Francisco

Spotted 20h agoFull-time

Job details

Employment
Full-time
Level
Senior
Experience
4+ years
Posted
Nov 13, 2026
Last confirmed open
Nov 14, 2026
Job function
Product › Product Management › Product Manager

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Job description

About this role

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust.

And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Opportunity

We're hiring an AI-native Product Manager to lead AI-native agentic builder experiences in Tableau. You will define how agents take part in the full cycle of data analysis: framing outcomes, finding and preparing the right data, exploring it, explaining what changed and why, and turning the result into trusted models, proactive insights, repeatable skills and data apps that people use every day.

You'll work with engineering, design, AI research and cross-cloud platform collaborators to ship agentic experiences that expand analytics reach.

Your mission

Make analysis something a person directs rather than assembles by hand. Any user should be able to describe the outcome and work with agents that plan the steps, run them on governed, trusted data, show their reasoning, and derive insights that users can refine, publish and share.

What You'll Actually Be Doing:

  • Shape the vision for native AI experiences that help with every stage of data analysis, and sequence the roadmap around clear bets, success metrics and explicit trade-offs.
  • Deeply understand the customer problems you’re tackling through research, data, and direct customer interactions — then frame those problems clearly for your team.
  • Manage the roadmap; defining what should be built, when and why - and communicate it to generate alignment and excitement. Keep roadmap current as models, platforms and customer needs change.
  • Collaborate with engineers and designers to imagine, build, and ship solutions, from bold future visions to small, focused iterations.
  • Leverage AI to increase your own efficiency, accelerate product development, and multiply your team’s impact. Set the standard for how the team designs products with AI, not only for AI.
  • Evaluate impact through quantitative and qualitative measures, both in beta and after full release. Know your adoption stats, friction points and success stories
  • Own and maintain the quality of your product area, ensuring every release delivers world-class software.
  • Collaborate with peers across the business to ensure we deliver products with clear GTM strategy and execution, getting hands on wherever necessary to ensure we deliver.
  • Be a leader in your team or projects by role-modelling our company values and R&D principles.

Who You Are

This AI-native product leader can think agents, tools, evals as easily as user journeys. You understand how analysts work, you have built or used analytics products in depth, and you hold the view that agents should take on the mechanical work of analysis so that people can focus on agency, judgment and decisions. You move quickly, test ideas with customers early, and explain complex AI behavior in plain language.

This is not a traditional “write a PRD and hand it off” product role. The next generation of product development is faster, more visual, more experimental, and more AI-assisted. We’re looking for a PM who can work prototype-first, use AI tools to accelerate discovery and delivery, and collaborate deeply with Engineering and Design to turn ambiguity into working product experiences.

You grow to drive excellent product judgment - skilled at balancing customer needs, business impact, and technical constraints to define, advocate for, and deliver the right product.

You're Our Person If:

  • 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, frontier models, including prompting, tool and function calling, retrieval and grounding, multi-step planning and understanding limitations
  • Experience defining and running evaluations for AI features (offline eval sets, human review, online metrics) and using them to make product decisions
  • A track record of taking a product from early prototype to general availability through close, repeated engagement with real customers
  • Ability to write a clear vision, rally engineering, design and research around it, and make trade-offs with urgency
  • Strong communication skills with technical and non-technical audiences, including sellers, executives and customers

Even Better If:

  • Experience with Tableau and Salesforce platform
  • Hands on user of data analytics, data science or data engineering products
  • Familiarity with agent frameworks and protocols (for example MCP and agent-to-agent patterns) and with developer or builder platforms
  • Experience working directly with AI research or applied science teams
  • Experience with semantic layers, metrics stores or headless BI
  • Experience creating go-to-market content, demos and enablement for AI products

Why This Team

  • Impact: Define how millions of people will drive insights with analytics agents in the next generation of Tableau investments.
  • Innovation: Work at the point where frontier AI research meets trusted business understanding, governed data, proactive intelligence, and enterprise-scale analytics.
  • Culture: Autonomy, technical depth, fast iteration with customers and a strong focus on simplicity.
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