AmazonSoftware Development Manager, MADS
Amazon is hiring a Software Development Manager, MADS in Toronto, Canada. It pays CAD 171k-CAD 286k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions Apache Spark, Apache Iceberg and AWS among its tools and skills.
- Level classes it as a lead role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Lead a software engineering team building data pipelines and APIs that serve as foundational data for AI agents and machine learning models.
Programmatic Reporting owns Amazon Marketing Stream and the Reporting APIs — the interfaces advertisers and partners worldwide use to consume Amazon Ads measurement data. Behind them sit the pipelines that source, transform, and deliver that data, processing billions of aggregated datapoints on Apache Spark, Apache Iceberg, and AWS. The freshness, accuracy, and cost-efficiency of that data are direct outcomes of the decisions your team makes.
This is a hands-on engineering leadership role. You will set technical direction alongside senior engineers, raise the bar on design and operational quality, and develop a team that thrives on hard distributed-systems problems. The ideal candidate reads code, understands cost models, and can challenge a design with a concrete alternative. You are equally comfortable in a design review, an operational deep dive, and a one-on-one focused on an engineer's growth.
Key job responsibilities
- Set and execute the technical roadmap, making deliberate tradeoffs across data freshness, accuracy, and cost.
- Shape how advertisers and partners consume reporting data through emerging GenAI-powered interfaces and data lake integrations.
- Partner with senior and principal engineers on architecture decisions spanning data pipelines, query engines, and upstream data integration.
- Lead a team of software engineers building the data sourcing, transformation, and delivery systems behind Amazon Ads reporting.
- Hire, develop, and retain strong engineers, and raise the technical bar through design reviews, code reviews, and mentorship.
- Improve cost efficiency through better architecture, not just tuning.
- Own operational excellence across multiple regions, including on-call, incident response, and data quality.
- Work with product management to turn product requirements into engineering plans that balance speed, quality, and cost.
About the team
The Programmatic Reporting team builds the data interfaces that power how advertisers and partners measure their Amazon Ads outcomes. We own Amazon Marketing Stream and the Reporting APIs, delivering accurate, consistent, and timely data to advertisers and partners worldwide. Our work sits at the intersection of data engineering and developer experience, and increasingly extends into GenAI-powered interfaces and data lake integrations.
We start from the customer and work backwards. We move fast, think in systems, and obsess over data quality. This role is a chance to take on hard engineering challenges and shape how advertisers and partners consume Amazon Ads data for years to come. The team is based in Toronto and partners with teams across multiple sites.
Basic qualifications
- 3+ years of engineering team management experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of working directly within engineering teams experience
- 8+ years of developing large-scale, multi-tiered distributed software systems using distributed programming 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
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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.
CAN, ON, Toronto - 171,400.00 - 286,200.00 CAD annually
How we rate this
Software Development Manager, MADS at Amazon rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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.
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 decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where api design was part of your work. What did you do?
- Tell me about a project where team leadership was part of your work. What did you do?
- Tell me about a project where software engineering was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Distributed Systems, API Design, Team Leadership, and Software 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.
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