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Fanatics

China-based licensed sports merchandise retailer

Staff Product Manager - AI Control Plane

Technical Product ManagementUpdated on Nov 14
Full-timeHyderabad, Telangana, IndiaNo salary listed

About the Job

Requirements

  • Proven experience as a Staff-level or senior product manager owning platform, infrastructure, or developer tooling products, with a track record of defining strategy and delivering roadmaps in ambiguous, rapidly evolving environments.
  • Strong technical fluency in AI infrastructure, distributed systems, security, and platform architecture, sufficient to engage deeply with engineering on trade-offs, challenge assumptions, and make sound product decisions without needing to be the architect.
  • Demonstrated understanding of AI and agentic systems, including agent runtimes, orchestration, tool calling, model gateways, evaluation frameworks, and observability patterns relevant to production AI platforms.
  • Experience defining and building identity, access control, lifecycle management, and governance capabilities for complex technical platforms, and translating organizational security and compliance requirements into scalable product solutions.
  • Systems-thinking ability to design for the broader platform ecosystem—including agents, models, tools, data, infrastructure, identity, security, governance, and developer experience—rather than optimizing individual components in isolation.
  • Strong track record of influencing and aligning engineering, product, security, governance, and business stakeholders without formal authority, and driving decisions through ambiguity and complexity.
  • Experience using customer and developer feedback, platform usage data, and solution patterns to continuously evolve platform strategy and prioritize a roadmap for maximum leverage and reuse.

Responsibilities

  • Partner with engineering, security, governance, legal, and business stakeholders to translate organizational requirements into scalable platform capabilities, creating clarity and alignment without relying on formal authority.
  • Collaborate closely with the AI Platform Adoption PM and Business Solutions PM, ensuring clear ownership and collaboration across the platform product-management team and maintaining a feedback loop between customer needs, solution patterns, and platform evolution.
  • Establish principles, product standards, and architectural guardrails for the evolution of the Control Plane in partnership with engineering leadership.
  • Create alignment across technical and business stakeholders, drive decisions through ambiguity, and make difficult trade-offs with confidence and transparency.
  • Mentor and model platform product thinking by demonstrating how to turn complex infrastructure capabilities into coherent products that solve customer problems.
  • Build a deep understanding of developers and teams using the AI platform, distinguishing individual feature requests from underlying needs that should shape reusable platform capabilities.
  • Own the experience for developers and technical teams using the Control Plane, reducing complexity in configuring, deploying, operating, and troubleshooting AI applications.
  • Establish workflows, tooling, documentation, and self-service capabilities that help teams move AI solutions from experimentation into secure, governed, reliable production environments with decreasing effort and friction.
  • Use developer feedback and platform usage data to continuously improve the Control Plane experience.
  • Stay informed about emerging AI infrastructure and agentic patterns, including agent runtimes, orchestration, tool calling, MCP-style systems, model gateways, evaluation, and observability, and translate that knowledge into practical platform capabilities and product strategy.
  • Identify common technical and product patterns to turn into reusable platform primitives for multiple AI solutions.
  • Balance developer velocity with platform reliability, security, safety, and governance, making pragmatic architectural and product trade-offs as the platform evolves.
  • Build safety and governance capabilities into the platform, defining requirements for guardrails, policy enforcement, auditability, monitoring, evaluation, and responsible AI controls.
  • Define and own the product strategy and roadmap for the AI platform Control Plane, establishing platform abstractions and standards that enable teams to build AI solutions consistently.
  • Define how users, teams, agents, tools, models, and other AI resources are identified, owned, authenticated, authorized, and managed throughout their lifecycle, establishing ownership and accountability at scale.
  • Provide visibility into AI usage, behavior, performance, risks, and policy compliance, enabling appropriate human oversight and intervention where required.
  • Track and drive success metrics including developer velocity, time to production, platform leverage, management and control maturity, safety and governance consistency, observability and reliability, and developer experience quality.
  • Apply AI and technology to improve efficiency, quality, and outcomes.
  • Use data and digital tools to inform decisions and enhance performance.
  • Demonstrate curiosity and adaptability in adopting new technologies and ways of working.
  • Contribute to a culture of innovation and continuous improvement.

About the Company

Fanatics

China-based licensed sports merchandise retailer

Fanatics China is a joint venture between Fanatics Inc. and Hillhouse Capital that localizes and scales licensed sports merchandise for China. It designs, manufactures, and markets fan gear for Chinese consumers, operating a multi-channel model that includes building and running e-commerce sites for global leagues and teams, exploring online marketplaces, and developing physical retail concepts. Its product workflow combines technology, data, and on-demand manufacturing to manage the entire supply chain, enabling fast response to demand. The company differentiates itself through a China-focused approach backed by Hillhouse’s network and investments, its end-to-end vertical commerce model, and partnerships with hundreds of sports organizations, which together help it navigate China’s complex retail landscape. The goal is to satisfy a previously underserved Chinese market for licensed sports merchandise by creating localized products and channels that connect fans with official gear.

Company size
10,001+
Company stage
Growth Equity (Venture Capital)
Total funding
$5.2B
Headquarters
Huangpu, China
Founded
1995

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