Product Specialist, Web Ecosystem Partnerships

Google Google · Big Tech · Mountain View, CA +3

This role focuses on shaping the future of the open web in the age of AI by partnering with developers, web infrastructure providers, and third-party AI partners. The Product Specialist will optimize Chrome's platform for AI-first developer tools and next-generation user experiences, owning relationships with Product Managers, leading product validation, and designing go-to-market strategies. The goal is to drive adoption of AI capabilities and enable agentic experiences, paving the way for scaling these initiatives globally.

What you'd actually do

  1. Align partnership strategies with product roadmaps and advocate the open web by channeling critical ecosystem feedback back to internal engineering and product teams.
  2. Lead initial product validation, define readiness criteria, and activate targeted programs to test new AI features and gather market feedback.
  3. Engage flexibly with developers, web infrastructure providers, and AI partners based strictly on product-market fit rather than a fixed portfolio.
  4. Drive the adoption of built-in AI capabilities across the web ecosystem to enable and accelerate agentic experiences.
  5. Build foundational partnership frameworks and handoff strategies to empower regional teams to scale efforts globally across dedicated portfolios.

Skills

Required

  • 7 years of experience in business development, partnerships, management consulting, or investment banking, or 5 years with advanced degree.
  • Experience launching technology products, defining go-to-market strategies, and collaborating directly with Product Management teams.
  • Experience in product specialist roles, technical partnerships, product management, or business development within the technology sector.

Nice to have

  • MBA or Master's degree in a related field.
  • Experience working within the web ecosystem, web infrastructure, or developer tools markets.
  • Experience with AI technologies, machine learning frameworks, or building developer ecosystems for AI-first applications.
  • Ability to navigate ambiguity and manage flexible, project-based partner engagements rather than static portfolios.
  • Strong problem solving skills, with a track record of using ecosystem feedback to influence product roadmaps and engineering priorities.

What the JD emphasized

  • AI features
  • agentic experiences
  • AI technologies
  • AI-first applications