Jobs

Sr Manager, Software Dev, 3P Seller and AM Gen AI Solutions, ISS
Hyderabad, TS, IND
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Learning and development stipend
•Wellness benefits
•Top Tier compensation with equity
•Remote work flexibility
•Health, dental, and vision coverage
•Flexible PTO policy
Required Skills
SQL
Apache Spark
Airflow
International Seller Services (ISS) is looking for an innovative and inspirational Sr Software Development Manager to lead our teams in our journey to transform our experience to recruit, launch and grow 3P sellers WW. In this role, you will work with Product Managers, Engineering Teams and 3P Account Specialists all over the world in building and launching innovative AI solutions at a rapid pace. You will be a manager of managers, leading teams that are dynamically defining, refining and launching bar raising products for our customers. You will have the opportunity to learn and implement the latest AI products and solutions.
Key job responsibilities
A successful technology leader at Amazon is a hands-on business, technology, and operations leader with strong analytical and problem-solving skills. While they rely on data, they are equally effective in making judgment base decisions. They detect signal from noise, and prioritize ruthlessly in the interest of Amazon customers. Frequently, they have to make bold decisions in a timely manner. They think out of the box, and encourage and support their teams in doing so. They communicate effectively at all levels, including the most junior engineers to business and technology VPs and Directors at Amazon, in individual and group setting.
A day in the life
As a part of this role, you will:
- Develop technology strategies to enable long-term strategic objectives and business goals.
- Lead a team to contiuously learn the latest AI tools and techniques and how to mold them into bar raising products for 3P Sellers and AMs
- Participate in and Influence cross org technology decisions.
- Conduct business reviews with key customers and stakeholders.
- Lead and develop a complex distributed software development organization.
- Foster team culture inspired by Amazon's leadership principals.
- Hire, mentor, coach and develop the necessary skills in your organization.
- Own product operations, including maintenance, upgrades, modernization, and deprecation of software.
- Define software development processes, conduct reviews, and report progress.
About the team
ISS team's mission is to build AI-driven products that help over 6000 Account Managers and millions of sellers to launch and grow on Amazon worldwide.
Basic Qualifications
- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment
- Ability and Inquisitiveness to keep up to date with Amazon and industry wide breakthroughs on Generative AI and Agentic AI products, solutions and techniques.
Preferred Qualifications
- Experience partnering with product and program management teams
- Experience designing and developing large scale, high-traffic applications
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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