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Lead Product Manager, AI/ML

AT NIKE, Inc.
NIKE, Inc.

Lead Product Manager, AI/ML

Shanghai, China

We are seeking a dynamic and experienced Lead AI Product Manager to drive the vision, strategy, and execution of AI-powered products and solutions. This role will focus on leveraging cutting-edge AI technologies to create innovative and impactful products that deliver exceptional value to customers and stakeholders. As a key leader in the team, you will collaborate closely with cross-functional teams, including engineering, various teams with Global Technology (e.g., Digital Technology, martech...etc.), and business, to deliver world-class scalable AI solutions.

Key Responsibilities

1. Strategy and Vision

Define and articulate a compelling vision and roadmap for AI-powered products in alignment with the company's strategic objectives.

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Identify and prioritize high-impact opportunities to leverage AI to address customer needs and business challenges.

2. Product Development

Lead end-to-end product development lifecycle for AI solutions, from ideation to launch and iteration.

Work with machine learning engineers, analytics engineer, data engineers, and cross functional tech engineers and product managers to define technical requirements and ensure successful product delivery.

Evaluate and incorporate emerging AI technologies to enhance product offerings.

3. Stakeholder Collaboration

Partner with cross-functional teams to align on product goals, timelines, and deliverables.

Communicate product strategy, progress, and insights to stakeholders, including senior leadership.

Collaborate with legal and compliance teams to ensure adherence to AI ethics, regulations, and standards.

4. Customer Focus

Conduct user research and analyze feedback to understand customer pain points and needs.

Translate customer insights into actionable product features and enhancements.

5. Data-Driven Decision Making

Define key performance metrics and measure the success of AI initiatives.

Use data analytics and experimentation to continuously improve product performance and user experience.

Qualifications

Education:

Bachelor's or Master's degree in Computer Science, Data Science, or a related field. MBA is a plus.

Experience:

7+ years of experience in product management, with at least 3 years focused on AI or data-driven products.

Proven track record of successfully launching AI/ML-powered products.

Technical Skills:

Strong understanding of AI/ML technologies, data pipelines, and cloud infrastructure.

Familiarity with product development methodologies (Agile, Scrum, etc.).

Soft Skills:

Exceptional problem-solving and critical thinking abilities.

Excellent communication and presentation skills to influence stakeholders at all levels.

Ability to thrive in a fast-paced, ambiguous environment.

Preferred Qualifications

Experience with AI ethics, privacy, and regulatory considerations.

Knowledge of industry-specific AI applications (e.g., e-commerce, retail, supplychain, finance...etc.).

Hands-on experience with data visualization and analytics tools.

Client-provided location(s): Shanghai, China
Job ID: nike-21272_R-48871
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Adoption Assistance Program
    • Family Support Resources
    • Fertility Benefits
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
    • Volunteer Time Off
    • Summer Fridays
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Company Equity
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
    • Work Visa Sponsorship
    • Leadership Training Program
    • Associate or Rotational Training Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Veteran founded/led