Global Product Lead, Global Business Applied AI

Google Google · Big Tech · Mountain View, CA +2

This role is for a Global Product Lead within Google's Global Business Applied AI (GBAI) organization, focusing on the go-to-market strategy and execution for AI-powered solutions that enhance customer and partner value. The role involves working cross-functionally with Sales, GTM, Finance, Product Management, UX, and Engineering to shape the roadmap of core CRM tools, analyze large datasets using ML approaches, and measure the business impact of product launches. While the role utilizes AI and ML approaches, it is primarily focused on product management and go-to-market strategy rather than core AI/ML development.

What you'd actually do

  1. Represent end users to set the connect sales tools goals, prioritizing roadmap features using quantitative business cases (business growth, productivity) and qualitative feedback.
  2. Document detailed business requirements and partner closely with Product Management/UX/Engineering teams on the design and development of user-facing features.
  3. Plan and execute global launch strategies, creating deployment plans, training, and support materials to accelerate product and feature adoption.
  4. Analyze large datasets to uncover tool gaps, utilizing signaling and ML approaches to translate root-cause findings into structured business asks.
  5. Estimate and measure post-launch business impact, tracking metrics such as customer satisfaction (CSAT), adoption rates, headcount savings, and business growth uplift.

Skills

Required

  • Bachelor’s degree or equivalent practical experience.
  • 4 years of experience in product or program management.

Nice to have

  • Experience implementing technical solutions and managing the product development lifecycle.
  • Understanding of applied Artificial Intelligence, sales platforms, the online advertising industry, and Google Ads.
  • Ability to influence multiple stakeholders without direct authority.
  • Excellent quantitative analysis skills including experience with SQL/business intelligence platform and working with large datasets to identify insights and outliers, and summarize key findings
  • Excellent written and verbal communication skills, building and tailoring narratives for a range of audiences, including executive leaders.

What the JD emphasized

  • applied Artificial Intelligence
  • ML approaches