S

Salesforce

Builds cloud software for customer relationships

Senior Product Manager - Tableau Applied AI

Product ManagementPosted on Nov 13
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 4 years of product management experience, including shipping consumer-grade AI- or machine-learning-powered features to customers.
  • Deep understanding of data analysis workflows, including data preparation, semantic models and metrics, exploratory analysis, visualization, dashboards, and data apps.
  • Hands-on experience with agentic systems and frontier models, including prompting, tool and function calling, retrieval and grounding, multi-step planning, and understanding model limitations.
  • Experience defining and running evaluations for AI features, including offline evaluation sets, human review, and online metrics, and using evaluations 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 with technical and non-technical audiences, including sellers, executives, and customers.

Responsibilities

  • Shape the vision for native AI experiences across stages of data analysis, and sequence the roadmap around clear bets, success metrics, and explicit trade-offs.
  • Understand customer problems through research, data, and direct customer interactions, then frame those problems clearly for the team.
  • Manage and communicate the roadmap, defining what should be built, when, and why, and keeping it current as models, platforms, and customer needs change.
  • Collaborate with engineers and designers to imagine, build, and ship solutions, from future visions to focused iterations.
  • Use AI to increase personal efficiency, accelerate product development, and multiply the team's impact; set a standard for designing products with AI, not only for AI.
  • Evaluate impact through quantitative and qualitative measures during beta and after full release, tracking adoption, friction points, and success stories.
  • Own and maintain product-area quality, ensuring every release delivers high-quality software.
  • Collaborate across the business on go-to-market strategy and execution, contributing hands-on as needed.
  • Lead within the team or on projects by modeling company values and research and development principles.

Desired Qualifications

  • Experience with Tableau and the Salesforce platform.
  • Hands-on use of data analytics, data science, or data engineering products.
  • Familiarity with agent frameworks and protocols, including Model Context Protocol 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 business intelligence.
  • Experience creating go-to-market content, demos, and enablement for AI products.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

Recently Posted Jobs

Explore more opportunities at Salesforce

See more jobs