招聘

PMT - Amazon Learning Companion (ALC), Central Learning Solutions (CLS), Technology
Bellevue, WA, USA
·
On-site
·
Full-time
·
2w ago
- We are seeking a Principal Product Manager
- Technical to define and deliver the vision, strategy, and technical roadmap for Amazon Learning Companion (ALC), Amazon's AI-powered Learning Intelligence Platform. This unified, intelligence-based ecosystem consolidates fragmented learning data, systems, and definitions into a single, governed source of truth that enables personalized, data-driven learning experiences at scale.
In this highly visible role, you will own the end-to-end product strategy for a standardized impact-measurement framework, introduce self-service analytics, natural-language data access, and predictive insights that enable operators to make faster, higher-quality decisions at scale. You will collaborate closely with Data Engineering, Applied Science, Measurement Science, Software Development, and global Learning teams to define the platform architecture, data models, technical mechanisms, and integration patterns that support real-time intelligence and long-term scalability.
You will influence Director and VP stakeholders using clear written narratives, measurable outcomes, and durable mechanisms. This role requires deep technical fluency, systems-level thinking, and the ability to operate in ambiguity while driving alignment across organizations within Central Learning Solutions (CLS).
- Key job responsibilities
- Own the vision and product strategy for Amazon Learning Companion, unifying siloed systems, disparate data models, and inconsistent metrics into a cohesive, governed ecosystem
- Define, align, and operationalize a standardized impact-measurement framework including core definitions, taxonomies, metrics, and validation mechanisms across global learning teams
- Build a durable roadmap that sequences foundational data infrastructure, analytical UX, machine learning capabilities, and product scalability to support NA Operations, EU Operations, and corporate functions
- Partner with Data Engineering and Science teams to define the technical architecture: semantic layers, data pipelines, real-time event ingestion, APIs, and metadata governance
- Create mechanisms for self-service insights, including natural-language querying, guided workflows, and automated/predictive intelligence that enable immediate actionability
- Define data models, technical mechanisms, and integration patterns that support real-time intelligence and long-term scalability across multiple regions and business units
- Influence senior/executive level stakeholders across organizations without authority through clear narratives, POCs, and data insights
- Collaborate with cross-functional teams to ensure Learning Intelligence Platform becomes the data engine that powers CLS personalization products and enables proactive learning interventions
- Use customer-obsessed and data-driven insights to identify unmet needs, evaluate opportunities, and measure platform success using quantifiable outcomes
About the team
You'll be joining a creative, fast-paced, entrepreneurial environment where you'll be at the center of Amazon innovation. The Central Learning Solutions (CLS) team continues to push boundaries in creating revolutionary experiences for our Learners and Learning Admins. CLS is Amazon's center of excellence for employee learning and development, with strategic focus on a) Standardizing learning metrics and measuring impact using data-driven frameworks, b) Consolidating learning technology and enabling AI-powered personalization, c) Delivering high-quality learning experiences across NA Operations, EU Operations, and corporate functions and d) Optimizing learning operations and enabling self-service capabilities
Basic Qualifications
- Bachelor's degree in math/statistics/engineering or other equivalent quantitative discipline
- Experience owning/driving roadmap strategy and definition
- 10+ years of product or program management, product marketing, business development or technology experience
- Knowledge of SQL
Preferred Qualifications
- Experience working directly with Engineers on product enhancements
- Experience in project management methodologies, business analysis, or process improvement
- 10+ years of technical product or program management experience
- Experience developing mobile / internet products and technologies
- Experience leading cross-organizational programs and setting and holding teams and individuals to timelines and deliverables without explicit authority
- Experience implementing data-driven workforce solutions and HR metrics
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, Bellevue - 179,900.00 - 243,400.00 USD annually
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关于Amazon

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+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
2.9
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
2.5
职业发展
2.3
管理层
2.1
35%
推荐给朋友
优点
Good pay and compensation
Strong benefits package
Flexible scheduling options
缺点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
薪资范围
4个数据点
Junior/L3
M3
M4
M5
M6
Mid/L4
Senior/L5
Staff/L6
VP
Director
Junior/L3 · Product Manager L5
0份报告
$187,921
年薪总额
基本工资
-
股票
-
奖金
-
$159,732
$216,110
面试经验
10次面试
难度
3.7
/ 5
时长
21-35周
录用率
20%
体验
正面 10%
中性 10%
负面 80%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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