The Measurement and Data Science (MADS) organization at Amazon Ads is looking for a Software Development Manager to lead an established engineering team in our Programmatic Reporting group. Advertisers and partners measure the success of their Amazon Ads campaigns through the data this team delivers — and as AI reshapes how advertising is planned and optimized, that data has become a foundation that AI agents, machine learning models, and analytics engines around the world depend on.
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