Principal Product Manager-Tech, AI Productivity, Amazon Games GenAI & Strategic Initiatives
Amazon · Seattle, WA · 2 wk ago
Information TechnologyFull-time
About the role
Amazon Game (Luna) is seeking a Principal Product Manager – Technical to lead our AI-Enabled Organizational Productivity strategy, driving how AI transforms the way we build, market, and operate games.
Responsibilities
- Identify and prioritize high-impact opportunities to accelerate workflows across engineering, marketing, and insights, and more domains focusing on areas with the greatest potential for velocity and efficiency gains
- Define and drive the AI acceleration roadmap, translating ambiguous opportunities into clear, scalable initiatives and repeatable patterns
- Rethink core workflows by leveraging AI and agentic systems, moving beyond optimization to fundamentally redesign how work is performed
- Act as connective tissue across domains, aligning stakeholders, driving tradeoffs, and ensuring focus on the highest-value initiatives
- Establish frameworks to measure AI impact, including velocity gains, cost efficiencies, and quality improvements, and continuously refine how value is tracked
- Partner with internal and external teams building similar capabilities to identify opportunities for reuse, standardization, and shared infrastructure
- Stay at the forefront of industry trends in AI, automation, and agentic workflows, translating emerging capabilities into practical applications
- Drive adoption and organizational change, including enablement programs, training, communications, and mechanisms that embed AI into everyday workflows
- Operate as a strategic advisor to leadership, helping shape how AI is applied across the organization and where it delivers the most impact
Qualifications
- Bachelor's degree
- 8+ years of product or program management, product marketing, business development or technology experience
- Experience with feature delivery and tradeoffs of a product
- Experience owning/driving roadmap strategy and definition
- Experience with end to end product delivery
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience technical product management
- Experience with AI/ML technologies
Preferred Qualifications
- Bachelor's or Master's degree in computer science, engineering or a related technical field
- Experience working on tools for internal employees
- Experience launching Agentic AI products