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Senior Manager, Software Development , Amazon Industrial Robotics

Amazon

Senior Manager, Software Development , Amazon Industrial Robotics

Amazon

N.reading, MA, USA

·

On-site

·

Full-time

·

4w ago

Compensation

$220,100 - $297,700

Benefits & Perks

Healthcare

401(k)

Equity

Parental Leave

Mental Health

Healthcare

401k

Equity

Parental Leave

Mental Health

Required Skills

Software development

Engineering team management

ROS

Robotics

Distributed systems

Technical leadership

Stakeholder management

Amazon Industrial Robotics is seeking an exceptional Senior Manager of Software Development to lead engineering teams responsible for the on-robot SW platform. This is a ground-floor opportunity to define and deliver software solutions for a strategic robotics initiative.

As a Senior Manager, you will use significant expertise and high judgment to design team structures and strategies to meet long-term business goals in areas where problems and strategies are not yet defined. You'll manage multiple teams building complex distributed systems for fleet coordination, continuous learning, and customer integrations, distilling diverse inputs from stakeholders to set vision and drive decisions. You will be 100% dedicated to your domain with full ownership of roadmap, technical strategy, and execution.

The ideal candidate brings deep expertise building software at scale for robotic systems, managing complex integrations, and working cross-functionally to deliver business-critical systems. You understand robotics and AI-native development practices and have proven ability to build high-performing organizations from the ground up. Knowledge of robot control and foundation models is highly valued.

  • Key job responsibilities
  • Design team structures and strategies to deliver on-robot software in rapid timelines
  • Lead software development execution, ensuring teams deliver high-quality systems that meet business goals and operational requirements
  • Manage a team of SW developers, scaling as the program grows
  • Hire bar-raising talent and grow leaders through coaching and strategic project assignment
  • Decompose significantly complex problems into straightforward solutions
  • Establish workflows, SLAs, and mechanisms to ensure the team operates effectively and deliver results
  • Own relationships with operations teams, product team, technology partners, and deployment customers
  • Write effective narratives (PRFAQs) and present to senior leadership
  • Set standards for operational excellence and process improvement
  • Champion AI-native development practices enabling significant productivity gains

Basic Qualifications

  • 5+ years of engineering team management experience
  • 10+ years of software development experience
  • Experience with ROS or similar middleware for robotics
  • Experience building large-scale, business-critical software systems successfully delivered to customers
  • Experience leading technical initiatives with independence in highly ambiguous environments
  • Experience in stakeholder management across multiple levels
  • Track record of aligning teams toward coherent strategies and driving customer-focused decisions
  • Experience writing strategic narratives (PRFAQs, OP1/OP2) and presenting to senior leadership

Preferred Qualifications

  • 12-15+ years of full software development lifecycle experience including production operations
  • Experience with robotic manipulation, SLAM and navigation, perception and whole-body-control
  • Experience with simulation and digital twins
  • Experience with ML infrastructure / foundation models (LLM, VLM, VLA)
  • Experience with data collection pipelines
  • Experience championing AI-native development practices (Kiro, Copilot)
  • Knowledge of optimization algorithms, operations research, or fleet coordination
  • Experience managing organizations with multiple layers and functions

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, MA, N.Reading - 220,100.00 - 297,700.00 USD annually

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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

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