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Manager, Software Development, Alexa AI, Alexa AI India

Amazon

Manager, Software Development, Alexa AI, Alexa AI India

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

1mo ago

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

Amazon

Public

Amazon.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

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