招聘
Are you passionate about transforming how Amazon's leaders make strategic talent decisions? The Workforce Planning (WFP) team within Amazon's Senior Leadership Experience (SLX) organization is seeking a Sr. Technical Program Manager to drive delivery of an enterprise-wide workforce planning platform — built from the ground up to replace offline, spreadsheet-based planning with integrated, AI-powered experiences.
You'll be driving new capabilities that transform how senior leaders align talent investments with business needs — leveraging machine learning, agentic AI, and Finance system integration to surface data-driven workforce decisions at Amazon scale. Our platform is launching across Amazon's major business units and will be the system of record for OP1 2027 workforce planning. You'll work in a high-visibility, high-ambiguity environment with direct exposure to senior leadership, driving programs that sit at the intersection of enterprise software, organizational science, and AI.
Key job responsibilities
As a Sr. TPM on WFP, you will own program delivery across multiple concurrent workstreams spanning product, engineering, science, and finance systems integration. You will:
Drive end-to-end delivery of WFP platform capabilities including Segmentation, Plan Mapping, Plan Builder, Permissions, Insights/Recommendations/Alerts, and Science models — managing cross-functional dependencies across engineering pods, science teams, upstream data owners, and downstream partners
Lead launch readiness programs including E2E coordination, Go/No-Go gates, ORR/ASR completion, and Game Day execution
Track and surface risks across multi-team dependency maps; maintain visibility into critical path across backend (App Sync, BFF, Lambda/ECS, DDB), science (Action Solver, CC distribution), and frontend workstreams
Own program communications to senior leadership — writing crisp daily/weekly flash,bi-weekly status updates, MBR updates, surfacing tradeoffs with specificity, and driving decisions rather than deferring them
Coordinate with upstream data dependencies (Finance/GFT, BIS/SBC forecasts, HRBP data via Maple) and downstream consumers to manage data availability risks and scope implications
Partner with Product and Science to scope quarterly roadmap items, work with SDMs and SDEs to estimate work and build execution plans grounded in honest LOE estimates
Manage team sustainability as a first-class program risk alongside technical and schedule risks
About the team
About the Team:
The Workforce Planning team is building Amazon's enterprise-wide workforce planning system from the ground up — a unified platform that replaces disconnected spreadsheets and offline reconciliation with structured, AI-powered experiences for HRBPs, Finance partners, and senior leaders.
We sit within the Senior Leadership Experience (SLX) organization and operate at the intersection of talent strategy, financial planning, and agentic AI. Our work integrates directly into Amazon's OP1/OP2 business cycles and is designed to give leaders the clarity to make better workforce decisions faster — at Amazon scale.
Basic Qualifications
- 5+ years of technical product or program management experience
- 7+ years of working directly with engineering teams experience
- 3+ years of software development experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience in technical program management working directly with software engineering teams
Preferred Qualifications
- Experience developing and executing/delivering product and technical roadmaps
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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.
CAN, BC, Vancouver - 128,100.00 - 214,000.00 CAD 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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