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Software Development Manager, Workforce Solutions - Employee Onboarding Experience (EOE)

职能工程
级别Lead级
地点Seattle, WA, United States
方式现场办公
类型全职
发布2周前
立即申请

As a Software Development Manager, you will lead a team of engineers building transformative solutions powered by Agentic AI to automate and optimize Amazon's global employee onboarding and experience operations. You will own the Employee Onboarding and Experience (EOE) contingencies & services tech team, a strategic initiative driving $50M+ in annual operational savings and delivering significant productivity gains and experience improvements for 1.5M+ employees and part time workers.

This high-impact role involves navigating the complexity of 3M+ transactions annually across 67 countries in critical functions like Background Checks, Drug Tests, Medical Checks, Work Authorization, Immigration, and Relocation. You will leverage AI and automation capabilities to reimagine these processes, eliminating repetitive manual work and empowering service teams to focus on high-value, human-centric activities.

Your technical leadership will be essential as you drive the development of foundational data infrastructure, reusable primitives, and intelligent agent-based workflows. You will partner closely with stakeholders across Operations, Corporate, AWS, and International teams to understand pain points, define requirements, and deliver transformative solutions at scale. People management responsibilities include building and guiding a high-performing, diverse engineering team, providing technical mentorship, and fostering a culture of innovation.

This challenging role requires exceptional technical acumen, strong communication skills, and the ability to balance strategic vision with tactical execution in a fast-paced, ambiguous environment. You will navigate complex global regulations, make data-driven decisions with far-reaching impact, and ensure the delivery of high-quality, secure solutions that enhance Amazon's hiring and employee management capabilities. If you're passionate about leveraging advanced technologies to streamline operations and elevate the employee experience, this is an unparalleled opportunity to drive change and deliver outsized business value.

About the team
Workforce Solutions (WS) empowers our customers by providing integrated, people-focused solutions that streamline hiring processes for WW Stores, AWS, Devices, and Talent Acquisition. As stewards of the employee lifecycle and experience, we drive initiatives that promote transparency and efficiency in career mobility, workforce engagement, and operational needs management. We prioritize customer-centricity by tailoring our capabilities and processes to align with their preferences and behaviors. Our approach is to start with the customer's needs and match individuals to the right opportunities through our services.

Basic Qualifications

  • 3+ years of engineering team management experience
  • 7+ years of working directly within engineering teams experience
  • 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
  • 8+ years of leading the definition and development of multi tier web services experience
  • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
  • Experience partnering with product or program management teams

Preferred Qualifications

  • Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
  • Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

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 - 184,900.00 - 250,200.00 USD annually

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关于Amazon

Amazon

Amazon

Public

Amazon.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

10条评价

3.4

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.0

职业发展

3.8

管理层

2.7

65%

推荐率

优点

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

缺点

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

薪资范围

4个数据点

L2

L6

L3

L4

L5

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

面试评价

6条评价

难度

4.0

/ 5

时长

21-35周

体验

正面 0%

中性 17%

负面 83%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge