Level

Amazon

Software Development Manager, Programming Foundations, ASBX

AI in this role

Lead engineering strategy and delivery of AI-powered testing and verification solutions at agentic scale.

software-developmentengineering-managementai-testingproduct-strategy
Are you an engineering leader who has defined a bold strategy for your space and delivered on it? Have you built and led teams through transformation where the ambition grew faster than the headcount, and come out the other side with big results? Amazon Software Builder Experience (ASBX) is looking for a Software Development Manager to lead the team, product and engineering strategy, and delivery of transformative testing and verification solutions at agentic scale at Amazon. We are creating new AI systems that decide what to test, write the tests, explain what went wrong, and close the loop fast enough for an agent to self-correct without human intervention.

As a Software Development Manager in ASBX, you will be a product and people leader for products across the Testing suite. You will define the strategy for how AI-powered testing capabilities mature from early adoption (10K+ monthly active users today) into the default way every team at Amazon validates software in the AI Development Life Cycle. You will own the product vision, the roadmap, the team, and the results.

You are joining an experienced team that is already shipping. Your job is to force-multiply it: sharpen the strategy, raise the ambition, grow and support the team, and deliver at a pace that matches how fast the problem is moving. This role requires a leader who has done this before, not someone looking to learn it for the first time.

Key job responsibilities
- Defining and owning the product strategy for AI-driven testing at Amazon: what to build, in what sequence, and why that sequence wins. Your strategy must be defensible to senior leadership and ambitious enough to match the rate at which agents are changing how software gets written;
- Hiring, growing, and leading a large engineering team through a period of rapid expansion and increasing scope;
- Partnering with your SDE, PE, and PM colleagues to translate product direction into technical architecture, and holding both accountable to coherence;
- Meeting with customers across Amazon to understand how they test today, where their testing breaks down, and what would make them trust AI-generated test evidence enough to ship on it;
- Driving delivery execution at a pace that matches the domain. Capabilities in this space that ship six months late ship into a world that moved on;
- Owning the product vision for your area. You partner with a product manager, but the vision, the conviction, and the hard prioritization calls are yours;
- Deeply shaping the direction of TestSpaces, ensuring that the execution layer and the testing-judgment layer evolve as a coherent system rather than adjacent efforts;
- Communicating strategy, progress, and risk to senior leadership clearly and without hedging.

A day in the life
You lead the team building AI testing capabilities already in daily use by tens of thousands of Amazon engineers, and you are pushing those capabilities from useful individual tools into a coherent testing system that operates across the development lifecycle. On a given day you might be: working with a PE on tech strategy; reviewing architecture and tech designs with your engineers; meeting with another Amazon team as your customer; reviewing Go-To-Market progress with our PM, or presenting your roadmap to ASBX leadership and defending the sequencing choices.

Your customers are every builder at Amazon. Your immediate partners are your PE, your product manager, and the teams who own the testing platforms, deployment infrastructure, and AI coding tools that your work builds on and feeds into. The right product decisions in this space compound across the entire company.

About the team
Our group exists to make testing in the AI Development Life Cycle a solved problem rather than a growing liability. In the Testing org, our platforms execute millions of tests per day across every AWS region. Our AI systems make those platforms smarter: generating tests, diagnosing failures, measuring sufficiency, and helping builders ship with confidence. The Pipeline Test Fixer alone has surpassed 50,000 daily invocations and reduces median promotion-blocking time by 25%. TestSpaces is already validated at scale, with a sibling organization running 2 million AI-native end-to-end tests per month across 500+ production pipelines on our execution layer. The capabilities in our strategy range from production to proof-of-concept, and the person who leads this team will decide which of them become products and which get cut.

You will thrive here if you have a track record of defining product strategy in ambiguous, fast-moving technical domains; if you have built and led high-performing engineering teams through periods of growth; and if you have the conviction to make hard calls on what to build, and what to stop building, when the landscape shifts under you.

Basic qualifications

- 3+ years of engineering team management experience
- 7+ years of engineering experience
- 8+ years of leading the definition and development of multi tier web services experience
- 3+ years of Software Engineer, Software Developer, or related occupational experience
- 1+ years of providing technical leadership and project management for all aspects of the software development lifecycle experience
- 1+ years of developing large-scale, multi-tiered distributed software systems using Java, C#, or C++ experience
- 1+ years of developing large-scale, multi-tiered distributed software systems using service-oriented architecture experience
- 1+ years of developing large-scale, multi-tiered distributed software systems using distributed programming experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 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

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

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, VA, Arlington - 184,900.00 - 250,200.00 USD annually

How we rate this

Software Development Manager, Programming Foundations, ASBX at Amazon rates 90 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.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

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A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Software DevelopmentEngineering ManagementAI TestingProduct Strategy

Questions you could be asked

  1. Tell me about a project where software development was part of your work. What did you do?
  2. Tell me about a project where engineering management was part of your work. What did you do?
  3. Tell me about a project where ai testing was part of your work. What did you do?
  4. Tell me about a project where product strategy was part of your work. What did you do?
  5. How would you decide a model or AI system is ready to ship?

Adapt your resume

  • List these exact terms on your resume: Software Development, Engineering Management, AI Testing, and Product Strategy. 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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