Product Manager, Sales Data Science

Salesforce • Indianapolis, IN

7d

About The Position

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. Applications will be accepted until 01/12/2026. This Product Manager role sits within the Sales Data Science team and owns the strategy and delivery of data, analytics, and AI-powered products that drive measurable improvements in seller productivity and revenue. This role is highly hands-on and analytically rigorous—deeply engaged in data foundations, SQL-driven analysis, experimentation, and causal measurement to prove product impact, while leveraging AI tools to accelerate prototyping and insight generation in a fast-paced, collaborative environment.

Requirements

• 5+ years in Product Management, Data, Analytics, or a related technical role.
• Strong hands-on experience with SQL, data modeling, experimentation, and metric definition.
• Proven ability to translate complex data insights into clear product decisions and executive-ready communication.

Nice To Haves

• Experience with Sales Analytics, Revenue Intelligence, or seller productivity products.
• Familiarity with AI-powered tools, agents, or generative AI workflows in a product context.
• Background working closely with Data Science on modeling, experimentation, or feature engineering.

Responsibilities

• Define product vision, strategy, and multi-quarter roadmaps for Sales Analytics and AI-powered Sales Agent capabilities.
• Help shape data foundations, models, and experimentation that ensure accuracy, scale, and trust.
• Lead execution end-to-end: backlog ownership, stakeholder alignment, delivery, adoption, and success measurement.

Benefits

• time off programs
• medical
• dental
• vision
• mental health support
• paid parental leave
• life and disability insurance
• 401(k)
• an employee stock purchasing program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees