Product Manager For Data Science

Impact

Seattle, WA, United States
Base: $130,000 - $150,000 py; bonus/equity: 5% var...
On-site
Machine learning lifecycle expertise
Ml platform and infrastructure management
Data strategy and insights enablement
impact.com is the world’s leading commerce partnership marketing platform, empowering brands to drive performance-based growth through authentic relationships

Job Summary

  • impact.com is the world’s leading commerce partnership marketing platform, empowering brands to drive performance-based growth through authentic relationships.
  • The Senior Product Manager will drive strategy and execution across the data science and AI ecosystem, partnering with data scientists, ML engineers, and business leaders to deliver AI-driven insights and automation.
  • The company offers a comprehensive benefits package including medical, dental, vision insurance, flexible PTO, mental health support, RSUs, parental leave, and continuous learning opportunities.

Matching Summary

impact.com is the world’s leading commerce partnership marketing platform, empowering brands to drive performance-based growth through authentic relationships.

Salary

Base: $130,000 - $150,000 per year; Bonus/Equity: 5% variable annual bonus plus RSU grant eligibility; Benefits: Medical, dental, vision, flexible PTO, mental health support, parental leave, technology stipend

Skills & Requirements

Must-have

  • Machine learning lifecycle expertise
  • ML platform and infrastructure management
  • Data strategy and insights enablement
  • Applied machine learning productization
  • Cross-functional team collaboration
  • Cloud ML ecosystem familiarity

Nice-to-have

  • Responsible AI and ethical practices
  • Experimentation and data-driven decision making
  • Executive stakeholder influence
  • Flexible working environment
  • Continuous learning and development

Key Requirements

  • 6–10+ years product management experience
  • 3+ years focused on data, ML, or AI products
  • Proven success managing technical platform products
  • Familiarity with cloud ML ecosystems
  • Ability to communicate across data science and business teams

Work Rights

Not specified

Tailored Resume

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