Senior Director, Data/AI Product Management
Salesforce
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California, Illinois, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $230,700 - $351,800 per year
Job Level
Senior
Tech Stack
SQL
About the role
- Recruit, lead, mentor, and grow a team of product managers, fostering a culture of data-driven decision making, innovation, and accountability.
- Own the end-to-end product lifecycle for foundational data products (e.g., responses, leads, opportunities datasets) and advanced AI/ML algorithms (e.g., attribution and marketing mix models, Lead Scoring, propensity models, recommendation systems).
- Define and own a clear product vision and strategy for the entire portfolio of data and AI/ML products, aligned with Salesforce Marketing strategic objectives.
- Translate business objectives into thoughtful product roadmaps, impactful product features, and measurement of business results.
- Drive alignment on strategy and execution across executive leadership, Marketing stakeholders (e.g., Global Field Marketing, Product Marketing, Paid Media), and partner teams (e.g., Global Marketing Analytics, Marketing Automation).
- Work closely with Data Science and Engineering teams to define requirements, assess technical feasibility, and ensure high quality algorithm delivery at scale.
- Define and track product KPIs to measure product performance and business impact, including financial/ROI metrics.
- Evangelize our product portfolio both internally and externally, participate in customer meetings to share our experience driving business value with Salesforce products.
Requirements
- Master’s or Ph.D. in a quantitative field such as Statistics, Computer Science, Economics/Econometrics, Industrial Engineering and Operations Research, etc.
- 10+ years of product leadership experience, with at least 5+ years of experience managing a portfolio of data and AI/ML algorithm products at an enterprise scale.
- 5+ years of experience in a leadership role managing and mentoring a team of product managers, quantitative analysts, or statistical/econometric/AI/ML modelers.
- Working knowledge of SQL coding and proven ability to conduct quantitative analysis to drive data-driven product strategy, management, and decision making.
- Understanding of the foundational concepts of database architecture, data models, and data pipeline engineering, as well as demonstrated knowledge of basic statistical analysis, AI/ML modeling principals and workflows, and MLOps best practices.
- Proven ability to build and scale complex data and AI/ML systems in fast-moving, matrixed environments, while working effectively with data scientists, analysts, and engineers.
- Experience with B2B marketing concepts and technology stacks (e.g., CRM, CDP, Email Platform, Paid Media, Web) and marketing KPIs (e.g., pipe generation, MQLs, lead quality).
- Comfort operating in ambiguous, rapidly evolving technology and strategic environments.
- Experience with design of experiment (i.e., A/B testing, multivariate experimentation), marketing effectiveness measurement (attribution, marketing mix, and causal inference modeling), and performance analytics.
- Exceptional strategic thinking, stakeholder management, communication skills (verbal and written), with the ability to present complex technical concepts to audiences at all levels of an enterprise.
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
SQLdata analysisAI/ML algorithmsstatistical analysisdatabase architecturedata modelsdata pipeline engineeringMLOpsA/B testingmarketing mix modeling
Soft skills
leadershipmentoringstrategic thinkingstakeholder managementcommunicationdata-driven decision makinginnovationaccountabilitycollaborationadaptability
Certifications
Master’s degreePh.D.