招聘
Do you want to reach the next level in your career as a Software Development Manager? Are you looking for new challenges and solving hard problems while using top-notch technologies? Join Discovery Technology team in New York and you will help millions of Amazon customers to discover the best, most relevant and high quality product selection!
Discovery Tech team helps customers discover and engage with new, popular and relevant products across Amazon worldwide. We do this by combining technology, science, innovation and creativity to build new customer-facing features and experiences alongside AI tools for marketers.
You will be responsible for creating products that help customers to shop cross-category, easily discover new ideas, new categories and new brands and have fun while shopping. Through leveraging machine-learning models, you will drive opportunities to automate Amazon’s cross-category marketing and merchandising and will help to deliver the best possible shopping experience for Amazon’s customers all over the globe.
A successful candidate will have a strong sense of ownership, great judgement, be highly analytical, able to work effectively in a matrixed organization, and adept at synthesizing a variety of technologies and capabilities into products that customers love. The ideal candidate for this role will be customer-obsessed with the capability to dive in and learn new technologies fast and who is comfortable in a fast-paced, dynamic environment; will be a creative and an analytical problem solver.
- Key job responsibilities
- Lead a team of Software Development Engineers in designing and architecting products and tools that leverage the latest AI technologies for Amazon's merchandising and marketing systems, setting technical vision and strategic direction.
- Create scalable, distributed systems architecture that integrates AI/ML capabilities to power worldwide, year-round merchandising opportunities while maintaining exceptional quality through continuous learning systems.
- Collaborate with applied scientists, UX researchers, designers, and business stakeholders to define roadmaps, customer experiences, and scaling opportunities for the Automated Merchandising platform.
- Establish structures that enable your team to solve complex problems and deliver impactful software systems, building audit mechanisms and metrics that demonstrate your team's performance against goals.
- Drive architectural decisions and technical strategy for hyper-local merchandising capabilities that can adapt to regional festivals and local events across all marketplaces, ensuring maintainability and operational excellence.
A day in the life
You'll start your day reviewing key metrics from your team systems before leading a technical design review for new features. Throughout the day, you'll manage a team of SDEs, collaborate with applied scientists on AI model enhancements, and work with UX research and design to refine the customer experience. You'll meet with business stakeholders to align technical direction with merchandising strategy, mentor team members on technical challenges, and coordinate with partner teams to scale learnings across Amazon.
About the team
The Discovery Tech team helps customers discover and engage with new, popular, and relevant products across Amazon worldwide. We combine technology, science, innovation, and creativity to build new customer-facing features and experiences alongside AI tools for marketers. Our mission is to help customers shop cross-category, easily discover new ideas, categories, and brands while enjoying their shopping experience.
By leveraging machine learning models and AI technologies, our team drives opportunities to automate Amazon's cross-category marketing and merchandising to deliver the best possible shopping experience for Amazon's customers globally. We're passionate about innovation and creating platforms that transform how merchandisers work at scale.
Basic Qualifications
- 3+ years of engineering team management experience
- 7+ years of Software Engineer, Software Developer, or related occupational experience
- 3+ years of developing large-scale, multi-tiered distributed software systems using service-oriented architecture experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 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
- Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices
- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences
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, NY, New York - 203,400.00 - 275,200.00 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
L2
L3
L4
L5
L6
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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