Product Director - Machine Learning

Salesforce

Base: $16,400 - $261,500 annually; bonus/equity: c...
Not specified
Machine learning strategy
Product roadmap
Model performance
Salesforce is seeking a Product Director for Machine Learning to lead the strategy for their Attrition Risk Insights product, which leverages ML to identify customer churn risks. The ideal candidate will have extensive product management experience, particularly in machine learning, and will work closely with cross-functional teams to enhance customer success through data-driven insights

Job Summary

  • As the Machine Learning Product Director for Attrition Risk Insights, you own the end-to-end Machine Learning strategy behind the company’s source of truth for customer risk.
  • You will serve as the bridge between the Data Science team and product consumers, translating business use cases and customer needs into clear technical product requirements.
  • Join us at a pivotal moment where reducing customer attrition is an executive-level priority and Attrition Risk Insights serves as the company’s definitive source of truth for customer risk.

Matching Summary

Match Score: 85

Salesforce is seeking a Product Director for Machine Learning to lead the strategy for their Attrition Risk Insights product, which leverages ML to identify customer churn risks. The ideal candidate will have extensive product management experience, particularly in machine learning, and will work closely with cross-functional teams to enhance customer success through data-driven insights.

Salary

Base: $16,400 - $261,500 annually; Bonus/Equity: company bonus, incentive for sales roles, equity; Benefits: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), employee stock purchasing program

Skills & Requirements

Must-have

  • Machine Learning strategy
  • product roadmap
  • model performance
  • customer risk insights
  • cross-functional alignment

Nice-to-have

  • AI CRM
  • workforce transformation
  • data-driven insights
  • agentic era

Key Requirements

  • 10 years product management experience
  • 5+ years ML product management
  • Bachelor's degree
  • Strategic, Analytical, and Collaborative Skills

Work Rights

Not specified

Tailored Resume

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