Amazon
From Amazon's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
This role is a chance to take on challenging delivery problems with real room to build the guidance and mechanisms behind them.
Every day, advertisers and partners worldwide measure the success of their Amazon Ads campaigns through the data Programmatic Reporting delivers: billions of aggregated datapoints that AI agents, machine learning models, and analytics engines around the world now depend on as AI reshapes how advertising is planned and optimized. The Measurement, Ad Tech, and Data Science (MADS) organization at Amazon Ads is looking for a Principal Technical Program Manager to drive the largest, most cross-cutting programs behind that data.
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. Delivering this data accurately, freshly, and cost-efficiently requires programs that span multiple engineering teams, product management, and partner organizations across several sites and regions.
You take on the programs that don't yet have a shape, where the strategy is still forming, the right sequencing isn't obvious, and what success even looks like has to be defined before anything can be planned. You bring order to that ambiguity across the many engineering, product, science, and partner teams spread over multiple sites and regions, and you build the mechanisms that keep delivery predictable at that scale. The guidance, standards, and operating cadence for how these programs run are yours to shape. You operate with real technical depth: you read the designs, ask the sharp question in an architecture review, and, when the direction is wrong, you challenge the strategy, the architecture, or the way the organization is structured to deliver, and back it with a concrete alternative. You do this as a trusted advisor to the organization's senior leaders: you frame the decision, the tradeoff, and your recommendation for audiences that run from the working team all the way up to the organization's most senior leadership, and you help shape where they invest. And you run programs the way this team builds them: instrumented, automated, agent-assisted. Status, rollups, and dependency tracking largely assemble themselves, freeing your own hours for the judgment calls no tool can make. You influence without authority, and you make the teams around you, and yourself, faster.
Own end-to-end delivery of the largest, most ambiguous cross-team programs across pipelines, query engines, APIs, and data integration, where the plan has to be created, not just followed.
Partner with senior and principal engineers, product leaders, and senior leadership to shape strategy and roadmap in ambiguous spaces, defining what the plan should be, not just executing it.
Build and sequence the program (scope, milestones, success criteria), and drive resolution of risks, blockers, and dependencies before they slip delivery.
Establish the operating mechanisms, increasingly automated and agent-driven, that keep delivery predictable across sites and regions.
Advise senior leaders on where to invest and on the org-wide mechanisms and structure needed to deliver at scale.
Frame decisions and recommendations for audiences from the working team up to the most senior leaders, with a clear point of view and the data behind it.
Drive technical tradeoffs across data freshness, accuracy, cost, and time-to-market, escalating crisply when alignment is needed.
Coordinate launches and deprecations of reporting interfaces across engineering, GTM, partner, and solutions-architecture teams.
Grow the next tier of leaders: mentor TPMs and engineers, raise the bar on delivery practice, and contribute to hiring and promotion decisions.
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 move fast, think in systems, and obsess over data quality. This role is a chance to take on challenging delivery problems with real room to build the guidance and mechanisms behind them. The team is based in Toronto and partners with teams across multiple sites.
7+ years of working directly with engineering teams experience
7+ years of technical product or program management experience
5+ years of software development experience
Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
Experience managing programs across cross functional teams, building processes and coordinating release schedules
8+ years of hands-on work managing complex technology projects experience
Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
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 - 157,600.00 - 263,200.00 CAD annually
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