Senior Product Manager - Experimentation

Best Buy • Richfield, MN

3d • Remote

About The Position

As a Senior Product Manager on our Customer Data and AI Enablement team, you will be building and leading empowered teams that partner with key internal teams, engage in customer research, execute data-driven prioritization to design, build, and launch initiatives driving supporting both Best Buy’s customer needs and Best Buy’s business objectives and key results. You will support the adoption of product management practices, foster inclusive leadership, and pioneer new ways of working. The Customer Data and AI Enablement team accelerates enterprise-wide adoption of data and AI across Advanced Analytics, Product, and Sales & Operations by delivering scalable data platforms, self-service tools, and measurement capabilities that support continued growth. This role sits within that team and owns data products for the Digital Experimentation Platform, driving new features and capabilities through clear objectives and outcomes, ensuring high-quality delivery to production, and enabling the company to consistently track and measure the impact of critical business initiatives. In this role, you'll primarily work virtually from home or another non‑Best Buy location. However, you must live within a drivable distance to our corporate campus in Richfield, Minnesota. The specific work arrangements vary by role and team, and the recruiter or hiring manager will provide additional details during the hiring process.

Requirements

• Bachelor's degree in IT, Computer Science, Engineering, Business, Marketing or related field OR equivalent combination of education and/or experiences.
• 2+ years relevant product management experiences (dev, UX, strategy, etc.)
• 1 year of experience in strategy creation, customer-focused solutioning, cross-functional leadership and related areas
• 2 years of experience with direct people management and team management
• Proven expertise in statistics behind experimentation, Geo Tests, A/B, multi-arm bandit, multivariate testing etc.

Nice To Haves

• 6 years of Product Management experience
• Demonstrated experience building platform products or deep knowledge of customer experience metrics
• Experience with Media Analytics and the Ad Ecosystem
• Experience with Machine Learning and/or AI Solutions
• Experience working hands-on in or partnering closely with ML engineering, ML science, or software engineering teams.

Responsibilities

• Consult and guide cross-functional teams on experiment design, helping non-technical users establish clear hypotheses, proper sample sizes, and robust success metrics.
• Partner closely with Data Scientists to embed advanced testing methodologies such as A/B, multi-arm bandit, and geo-testing directly into the self-service platform.
• Bridge the data knowledge gap by translating complex statistical requirements and data models into actionable, growth-focused business insights for platform users.
• Safeguard experiment data integrity by proactively auditing active tests, identifying behavioral friction points, and preventing common testing pitfalls.
• Define platform capability requirements and automated reporting dashboards that empower internal teams to seamlessly track, measure, and iterate on customer growth initiatives.

Benefits

• Competitive pay
• Generous employee discount
• Physical and mental well-being support
• Best Buy provides different types of leaves of absence (LOA) and potential pay sources to employees based on eligibility.
• Intermittent or reduced-schedule leave is also available for certain medical or family care leaves.
• Paid time off (vacation or PTO) is offered to full-time and part-time employees based on work location, employment status, salary or hourly status (exempt/non-exempt), and years of continued or bridged service.
• Certain roles, where market norms demand it, are eligible for various forms of incentive pay to drive performance and offer recognition for achieving financial and strategic results.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree