Jobs
Benefits & Perks
•Top Tier compensation with equity
•Parental leave program
•Health, dental, and vision coverage
•Annual team offsites
•Flexible PTO policy
•Wellness benefits
Required Skills
Python
TensorFlow
Airflow
Interested in Amazon Alexa, Machine Learning and Artificial Intelligence? We’re building the speech and language solutions behind Amazon Alexa and other Amazon products and services. Come join us!
The Alexa AI org in India is seeking a talented, self-directed Software Development Manager (SDM) to tackle some of the most interesting problems on the leading edge of language solutions and machine learning (ML) with our Alexa Artificial Intelligence (AI) org. The SDM will help us in pioneering new machine learning tools and processes through an iterative research and development cycle. You will build scalable, self-serve applications for use across the Alexa AI organization. You will have significant influence on our overall strategy as you work with a small team of subject matter experts and engineers to define features, system architecture, best practices. You will work with Engineers and Scientists on the team to execute our technical vision and create world class products.
- Key job responsibilities
- Hire and develop the best. You will help grow and develop a team of engineers, growing their careers and empowering them to achieve amazing things.
- Set a vision for your team and create product roadmaps. Help your team identify technical and product requirements and opportunities.
- Use project management and prioritization skills to balance long and short-term goals and deliver on your product roadmap.
- Keep your technical skills current to contribute to architecture and design discussions. Lead your team to evolve and scale our service architecture.
- Drive continual improvements: Set and iteratively improve team processes and mechanisms to make sure the right things get prioritized and work gets done efficiently.
A day in the life
A mix of helping the team architect our systems for massive scale, drive efficiency in our software development processes, career coaching and mentorship, collaborating with sister teams, and interviewing.
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.
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Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
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Culture
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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
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L4
0 reports
$181,968
total / year
Base
-
Stock
-
Bonus
-
$154,672
$209,264
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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