Software Development Manager, WWGST

Amazon is hiring a Software Development Manager, WWGST in Austin, United States. It pays $185k-$250k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions AWS, Python and Large Language Models among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Lead a software engineering team building machine learning and LLM-driven systems for grocery catalog data accuracy and product matching.

AWSPythonLarge Language Models

software-development-managementmachine-learningdistributed-systemsdata-pipelinescatalog-management

Amazon's Worldwide Grocery Stores-Tech (WWGST) team is looking for an experienced Software Development Manager.

Ever wonder how millions of grocery products get correctly identified, enriched, and made available to customers — both on shelves and online? That's the problem we're solving, and we need a software development manager to lead the team doing it.

Here's what makes this role unique: you'll lead engineers who build systems at the intersection of machine learning and product data quality. Your team uses large language models, automated ML, and real-time data from third-party providers to answer questions like "which product does this barcode actually belong to?" and "are the temperature, expiry, and dimension attributes for this item correct?" These aren't theoretical problems — when we get them wrong, products spoil, customers get the wrong item, and supply chains break down.

You'll own the end-to-end technical strategy for catalog data accuracy across grocery. That means distributed systems processing millions of records, ML pipelines that train and infer on weekly cadences, and data integrations with external providers across multiple countries. You'll also build internal tools that put catalog intelligence directly in the hands of business teams.

Key job responsibilities
- Lead a team of engineers building and operating distributed systems that process millions of product records across grocery marketplaces.
- Own the technical vision for resolving product identity defects — where a single barcode incorrectly maps to multiple products — using data matching, third-party OCR sources, and scoring algorithms.
- Drive the evolution of ML infrastructure — including scheduled training/inference pipelines, LLM-based attribute validation, and automated publishing workflows.
- Guide the strategy for ingesting, transforming, and synchronizing third-party product data into the catalog across international marketplaces.
- Build and maintain internal tooling that gives product managers and business users visibility and control over grocery catalog operations.
- Make architectural decisions for scaling early-stage systems while ensuring operational excellence across multiple AWS accounts and regions.
- Translate complex supply chain and catalog business requirements into concrete technical solutions — prototyping rapidly and iterating with cross-functional partners.
- Partner with applied science teams on ML model development and product ionization.
- Foster an entrepreneurial engineering culture focused on innovation, ownership, and high-velocity delivery.
- Mentor and develop engineers, promoting technical excellence and career growth.

About the team
This is a small, entrepreneurial team where everyone wears many hats. You'll have the freedom to define architecture, influence product direction, and ship solutions that directly impact how Amazon and Whole Foods Market source and sell groceries. If you want a role where you can see your work on store shelves the same week you deploy it — this is it.

Basic qualifications

- 8+ years of leading the definition and development of multi tier web services experience
- 7+ years of engineering experience
- 3+ years of engineering team management 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

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, TX, AUSTIN - 184,900.00 - 250,200.00 USD annually

How we rate this

Software Development Manager, WWGST at Amazon rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Development Manager, WWGST is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $185k-$250k a year.
The role is based in US, TX, Austin.
The job was posted on July 19, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software Development ManagementMachine learningDistributed SystemsData PipelinesCatalog ManagementAWSPythonLarge Language Models

Questions you could be asked

Tell me about a project where software development management was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where data pipelines was part of your work. What did you do?
Tell me about a project where catalog management was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Software Development Management, Machine learning, Distributed Systems, Data Pipelines, and Catalog Management. 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.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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