Principal Technical Program Manager, MADS
Amazon is hiring a Principal Technical Program Manager, MADS in Toronto, Canada. It pays CAD 158k-CAD 263k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- 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.
- Posted in the last few days.
AI in this role
Drive large-scale programmatic reporting data pipelines and agent-assisted workflows supporting Amazon Ads measurement.
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.
Key job responsibilities
- 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.
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 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.
Basic qualifications
- 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
- Experience owning/driving roadmap strategy and definition
Preferred qualifications
- 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
How we rate this
Principal Technical Program Manager, MADS at Amazon rates 60 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.
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.
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 technical program management 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 api management was part of your work. What did you do?
- Tell me about a project where cross functional leadership was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Technical Program Management, Data Pipelines, API Management, and Cross Functional Leadership. 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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