Product Director – Machine Learning
Salesforce
full-time
Posted on:
Location Type: Hybrid
Location: Austin • Illinois • Texas • United States
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Salary
💰 $16,400 - $261,500 per year
Job Level
About the role
- Define the ML roadmap, success metrics (technical and business), experimentation plans, and model iteration lifecycle from deployment through monitoring and retraining.
- Embed risk predictions, confidence signals, and explainability into field workflows to drive clear, actionable mitigation steps.
- Establish feedback loops, monitor drift and bias, and continuously improve model accuracy, calibration, and adoption.
- Serve as the bridge between Data Science, Engineering, and Field teams to ensure scalable, responsible, and high-impact ML execution.
Requirements
- Strong strategic thinker with an ability to leverage advanced data analysis and predictive modeling to drive customer engagement and product improvement.
- Minimum of 10 years of product management experience with demonstrated leadership in highly matrixed, cross-functional environments.
- 5+ years of experience collaborating with Data Science or Machine Learning model development teams.
- Bachelor’s degree in Business, Engineering, Marketing, Data Science, or a related field; MBA or equivalent experience preferred.
Benefits
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningpredictive modelingdata analysismodel iterationmodel accuracymodel calibrationrisk predictionsconfidence signalsexplainabilityfeedback loops
Soft Skills
strategic thinkingleadershipcollaborationcross-functional teamworkcommunicationproblem-solvingadaptabilitycritical thinkingdecision-makingcustomer engagement
Certifications
Bachelor's degreeMBA