Staff Product Manager, AI Platform Adoption

Fanatics Commerce•Redwood City, CA

5d•Hybrid

About The Position

Fanatics Commerce is building an AI platform that helps teams build, deploy, and scale AI-powered agents and tools across the organization. The Staff Product Manager, AI Platform Adoption & Growth owns the platform’s adoption and growth by identifying where teams struggle, reducing friction from onboarding through production, and translating recurring customer needs into platform improvements. The role partners with business and technology teams, other AI platform product managers, and engineering leaders so customer demand and adoption data inform the platform roadmap. The position develops and owns the adoption strategy, including measures for adoption, activation, time-to-value, sustained usage, and business impact. It builds alignment across teams and senior leadership, discovers internal customers’ workflows and pain points, improves the customer journey, validates opportunities through prototypes and experiments, and establishes repeatable programs that help teams adopt and scale platform use. The role also owns the operating rhythm and leadership narrative, communicating progress, barriers, opportunities, and investment needs. The role is hybrid, with the primary place of performance at the company’s Redwood City, California office. It currently requires in-office presence Tuesday, Wednesday, and Thursday. The stated base salary range is $180,000–$225,000 USD; the range excludes short- and long-term incentive compensation.

Requirements

Significant product management experience, with a track record of owning ambiguous, high-impact problems and driving outcomes through influence rather than authority.
Demonstrated success growing adoption of a platform, product, tool, or capability across a complex organization.
Strong customer discovery skills and the ability to connect customer problems, product decisions, adoption, and measurable business outcomes.
Deep familiarity with modern AI/LLM application patterns and sufficient understanding of agent architectures, tool calling, MCP-style protocols, and platform trade-offs to partner credibly with engineers.
Exceptional communication skills, including the ability to create clarity from complexity and engage engineers, product teams, business leaders, and senior executives.
Strong product judgment and first-principles thinking, including the ability to cut through ambiguity, challenge assumptions, and make thoughtful trade-offs.

Nice To Haves

Experience building or growing internal developer platforms, infrastructure, or enterprise technology products.
Experience with agent frameworks, MCP servers, or orchestration platforms.
Experience in e-commerce, sports, or consumer technology.

Responsibilities

Build alignment across product, engineering, business, and senior leadership to accelerate AI platform adoption without relying on formal authority.
Partner with the globally distributed AI platform product management team and engineering leaders so adoption data and customer demand inform platform priorities.
Route validated opportunities to the appropriate product and engineering owners.
Develop a deep understanding of internal customers, their workflows, pain points, and reasons for adopting, struggling with, or leaving the platform.
Own and continuously improve the customer journey from initial engagement through onboarding, first value, production deployment, and sustained usage.
Partner with business and technology teams to define problems, desired outcomes, and potential value for AI improvements to products, processes, and customer experiences.
Help teams demonstrate and communicate the value they achieve through the platform.
Validate promising AI opportunities through lightweight prototypes, experiments, and proofs of concept.
Determine whether opportunities fit existing platform capabilities, require new platform capabilities, or are better suited to business-specific solutions.
Identify recurring needs where reusable platform capabilities can increase adoption across multiple teams.
Evaluate emerging AI technologies and patterns for their potential value to Fanatics Commerce.
Own the AI platform adoption strategy and define metrics for adoption, activation, time-to-value, sustained usage, and business impact.
Identify and remove adoption barriers involving onboarding, platform capabilities, documentation, tooling, and operating processes.
Develop repeatable mechanisms and programs that help more teams adopt and scale platform use.
Own the operating rhythm and narrative with senior leadership, communicating progress, adoption barriers, emerging opportunities, and areas requiring additional investment.
Apply AI, technology, data, and digital tools to improve efficiency, quality, outcomes, and performance, while contributing to innovation and continuous improvement.