招聘
Build the technical foundation powering audio advertising across Amazon Devices.
Join Alexa Advertising to own critical infrastructure supporting audio ads on Echo devices and future sponsored audio content in Alexa+ conversations. You'll build scalable systems processing billions of ad opportunities annually, delivering world-class advertising experiences to millions of customers.
This role offers hands-on technical ownership of audio ad systems, real-time ad serving pipelines, and conversational AI integration. You'll work with talented engineers solving complex distributed systems challenges while directly impacting a business.
- Key job responsibilities
- Design and implement scalable full-stack technologies supporting audio and conversational ads
- Build innovative customer experiences utilizing cloud services, backend technologies, and real-time streaming infrastructure
- Develop high-quality software within a dynamic, team-oriented Agile environment supporting billions of annual ad opportunities
- Architect solutions enhancing ad targeting, personalization, and interactive voice experiences
- Collaborate with Product, Applied Science, and cross-functional engineering teams to define and deliver innovative advertising products
- Optimize ad serving latency, cost, and business metrics for audio advertising at scale
A day in the life
Your day will be filled with exciting technical challenges and collaborative problem-solving. You'll work alongside talented engineers designing sophisticated software solutions that power audio advertising experiences across multiple endpoints. Expect to dive deep into distributed systems, real-time ad serving, streaming audio technologies, and cloud services, transforming innovative concepts into scalable infrastructure that millions will experience daily.
You'll tackle challenges like integrating audio ads into Alexa+ conversational experiences, building systems for interactive audio ads that enable voice-driven customer actions, and optimizing ad delivery pipelines for targeting addressability and relevancy.
Your work will directly support initiatives to grow audio advertiser base through generative AI-powered creative tools and expand audio supply across new experiences.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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.
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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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