Software Development Manager, GO-AI Technology & Development Team
Amazon is hiring a Software Development Manager, GO-AI Technology & Development Team. It pays $185k-$250k a year and Level rates it ; you can apply on Level.
AI in this role
Lead a software engineering team developing high-availability applications and foundation model solutions for AI-powered robotics operations.
Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) team enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to advanced foundation model solutions.
As a Software Development Manager on GO-AI's Technology & Development Team, you'll be at the center of this transformation. You’ll lead a team of full-stack software engineers, responsible for developing and maintaining mission-critical, high-availability applications for Remote Intervention and Data Annotation solutions. These applications integrate massive-scale, proprietary foundation models to deliver low-latency inference. These applications also feature human-machine-interfaces that allow remote operations teams to provide minute-level responses.
This is a rare opportunity to build AI systems that operate at Amazon scale while solving novel technical challenges in computer vision, natural language processing, and human-AI collaboration. You'll manage and collaborate with world-class engineers, scientists, and operations teams to deploy breakthrough research into production systems that deliver real-world impact at global scale.
Key job responsibilities
• Hire, motivate, mentor, and grow a high-performing engineering team of full-stack software engineers, providing them with appropriate opportunities to succeed in their career objectives
• Work backwards from the customers’ needs with long-term focus
• Define and deliver on the technical vision, strategy, and roadmap for GO-AI’s mission-critical, high availability software applications (Tier 1/Tier 2)
• Lead your teams in the design and delivery of highly scalable services and features for GO-AI, driving operational metrics including latency, availability, and defect reduction
• Continuously improve development processes — CI/CD, on-call, operational excellence — to accelerate delivery and maintain high availability
• Partner with cross-functional teams of applied scientists, data engineers, business intelligence engineers, and technical program managers to provide Remote Intervention and Data Annotations for Amazon's robotic and automation programs
• Translate complex technical work into clear narratives for stakeholders at all levels, both technical and non-technical
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Basic qualifications
- 3+ years of engineering team management experience
- 7+ years of engineering experience
- 4+ years of providing technical leadership and project management for all aspects of the software development lifecycle experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Experience partnering with product or program management teams
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 8+ years of leading the definition and development of multi-tier software services experience
- Experience implementing engineering practices and patterns for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and certification
Preferred qualifications
- 5+ years of hiring, mentoring, coaching, and managing teams of software engineers to improve their skills and make them more effective
- 10+ years of planning, designing, developing, and delivering software experience
- Experience managing teams who build infrastructure for LLM/VLM training and inference at scale
- Experience managing multiple concurrent programs, projects, and development teams in an Agile environment
- Experience communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Excellent communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences
- Master’s degree in a related Technical or Business field
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, Boston - 184,900.00 - 250,200.00 USD annually
USA, MA, North Reading - 184,900.00 - 250,200.00 USD annually
USA, MA, Westboro - 184,900.00 - 250,200.00 USD annually
How we rate this
Software Development Manager, GO-AI Technology & Development Team at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you keep labeling instructions consistent across a large annotation team?
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a project where software development management was part of your work. What did you do?
- Tell me about a project where full stack engineering was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Data Labeling, Computer vision, NLP, Software Development Management, and Full Stack Engineering. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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