Jobs
Benefits & Perks
•Learning and development stipend
•Flexible PTO policy
•Remote work flexibility
•Health, dental, and vision coverage
•Top Tier compensation with equity
•Wellness benefits
Required Skills
TensorFlow
SQL
Airflow
Alexa+: An AI assistant that gets things done—she's smarter, more conversational, and more capable.
With 600 million Alexa devices now out in the world, the latest advancements in generative AI have unlocked new possibilities—enabling us to reimagine the experience in our pursuit of making customers' lives better and easier every day.
Prompt engineering and LLM orchestration form the backbone of Alexa+ by serving as the interface between user request and LLM processing, guiding AI systems to provide contextually relevant, accurate, and coherent responses. The quality of this engineering directly impacts the assistant's ability to understand context, maintain conversation flow, and generate appropriate responses.
We are seeking an experienced Software Engineering Manager to lead our Alexa+ AI Agent team, driving the development and optimization of the LLM prompt and orchestration system for Alexa+. The ideal candidate will manage a team of engineers focused on building robust, scalable architectures that power the conversation flow, context management, prompt generation, and LLM orchestration. You will drive technical strategy, collaborate with conversation bar raisers and Alexa domain teams, and ensure the delivery of high-quality solutions that enhance the conversation experience of Alexa+.
Key job responsibilities
Technical Leadership:
- Lead technical strategy and development of scalable solutions for Alexa+'s LLM prompt and orchestration system
- Establish technical standards and best practices for the team
- Drive adoption of emerging AI technologies and best practices in LLM orchestration
- Evaluate and integrate new LLM models and prompt engineering techniques
Team Management: - Build and mentor a diverse team of software engineers
- Foster a culture of innovation and engineering excellence
- Provide technical guidance and career development support
- Manage team performance and delivery timelines
Project & Product Management:
- Work with product managers to define and execute team roadmaps
- Align technical implementations with product requirements
- Ensure delivery of high-quality solutions meeting performance standards
- Drive operational excellence and system reliability
- Set and track team goals and metrics
Operational Excellence: - Ensure system scalability for 600M+ Alexa devices
- Maintain high performance standards and monitoring
- Manage high severity incidents and resolution
- Drive continuous improvement initiatives
Basic Qualifications
- 7+ years of engineering experience
- 3+ years of engineering team management 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
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
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
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%
Recommend to a Friend
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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