채용
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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About 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+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
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Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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