채용

Principal Product Manager-Tech, AI Productivity, Amazon Games GenAI & Strategic Initiatives
Seattle, WA, USA
·
On-site
·
Full-time
·
2w ago
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.
In this role, you will identify and scale high-impact opportunities to accelerate velocity, improve efficiency, and fundamentally rethink workflows across the organization. You will work across domains including engineering, marketing, and business insights to design and deliver AI-powered solutions that move beyond incremental productivity gains toward step-change improvements in how work gets done.
Example initiatives may include reimagining marketing campaign workflows through agentic systems, accelerating game porting and development pipelines, and building reusable AI-enabled patterns that scale across teams.
This role sits at the intersection of product, program, and change leadership. You will act as a connective tissue across teams, aligning priorities, driving execution, and ensuring adoption. Success will be defined not by isolated tools, but by building a durable system of AI-enabled ways of working that compounds over time.
- Key job 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
About the team
Amazon Luna is a cloud gaming service that makes it easy for anyone to play high-quality games on the devices they already own—including Fire TV and tablet devices, smartphones, tablets, web browsers, select smart televisions from LG and Samsung, and more--with no need to purchase new gaming consoles or equipment. Luna brings more than 50 games to Prime members at no additional cost, including Game Night, an evolving collection of more than 25 approachable, local multiplayer games designed to bring friends and family together in the living room. To play Game Night titles, simply scan a QR code on your TV and your smartphone becomes your controller. With simple and responsive touchscreen inputs and support for multiple local players, Game Night offers and easy and approachable way to play whether you’re an experienced gamer of a casual fan.
Basic 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 179,900.00 - 243,400.00 USD annually
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Amazon 소개

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
2.9
10개 리뷰
워라밸
2.8
보상
3.7
문화
2.5
커리어
2.3
경영진
2.1
35%
친구에게 추천
장점
Good pay and compensation
Strong benefits package
Flexible scheduling options
단점
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
연봉 정보
2개 데이터
Junior/L3
M3
M4
M5
M6
Mid/L4
Senior/L5
Staff/L6
VP
Director
Junior/L3 · Product Manager L5
0개 리포트
$187,921
총 연봉
기본급
-
주식
-
보너스
-
$159,732
$216,110
면접 경험
10개 면접
난이도
3.7
/ 5
소요 기간
21-35주
합격률
20%
경험
긍정 10%
보통 10%
부정 80%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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