招聘
Ops Tech Solutions Data ANCHOR team is dedicated to solving Operations' challenges using Data and Generative AI, driving exceptional value through four key pillars: developing AI-powered solutions that enhance operational efficiency, maintaining Amazon's high bar for innovation, embedding long-term thinking into every initiative, and delivering measurable impact across Field Operations. This strategy positions ANCHOR as both an acceleration partner for worldwide operations and an innovator in automated IT support services, demonstrating significant impact through key capabilities including the development and deployment of GenAI-powered operational solutions, rapid prototyping and validation of AI solutions for WW Operations, and custom offline analyses generating insights for operational decisions.
If you are a self-starter, someone who thrives in a fast-paced and ever-changing environment, with a passion for developing scalable long-term solutions, then you are the right candidate for our team. In this role, the candidate would work closely with Operations Teams, product/program, data scientists and tech teams across Amazon. You will own programs that require strategic direction, diving deep, and cross-team communication to deliver results for our customers.
- Key job responsibilities
- Own large-scale technical programs across
multiple engineering teams, from conception
through delivery - Partner with engineering leaders, product
managers, and business stakeholders to define
strategy, shape the roadmap for Data/AI/Science Team initiatives, and deliver end-to-end solutions - Drive architectural decisions and technical
solutions that enable seamless content delivery
and discovery at global scale - Define and drive the technical direction and
architecture for large, complex AI tools, ensuring
scalability, performance, and long-term
sustainability. - Develop, and mentor high-performing engineers,
fostering a collaborative and growth-oriented
team culture that enables both individual and
team success. - Provide technical leadership throughout the
product lifecycle, championing engineering best
practices and ensuring operational excellence for
large-scale production services. - Continuously monitor and report on
development progress, quality, and system
performance, ensuring alignment with business
objectives and technical goals.
A day in the life
Amazon Benefits:
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options:
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skill sets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Basic Qualifications
- Bachelor's degree in engineering, computer science or equivalent
- 7+ years of working directly with engineering teams experience
- 5+ years of technical product or program management 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
- 4+ years of analytical, quantitative, communication, and presentations experience
Preferred Qualifications
- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
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, TX, Austin - 148,700.00 - 201,200.00 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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