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This role requires technical depth in distributed systems and data pipelines — you'll make independent trade-off calls in design reviews, identify risks engineers haven't surfaced, and drive multi-quarter initiatives that shape the future of advertising measurement at Amazon. You'll work at the intersection of established infrastructure AI capabilities, managing programs where changes ripple across every Ads product — Sponsored Ads, DSP, AMC, and beyond.
Key job responsibilities
- Drive end-to-end delivery of large, complex infrastructure programs spanning multiple engineering teams, data pipelines, and dependent services with clear milestones, risk management strategies, and escalation paths
- Partner with engineering teams to define technical requirements and validate architectures for data-intensive distributed systems, engaging meaningfully in design reviews to identify scaling bottlenecks, second-order risks, and technical trade-offs
- Program-manage the evolution of reporting infrastructure to support AI-powered measurement interfaces — natural language queries, automated insights, and intelligent planning — while maintaining data accuracy and system reliability
- Create and ship mechanisms, automation, and process improvements that increase engineering velocity, reduce operational toil, and make delivery predictable without becoming a bottleneck
- Lead cross-organizational dependency coordination and stakeholder alignment across MADS, Sponsored Ads, DSP, AMC, and platform teams to sequence deliverables and resolve competing priorities
A day in the life
Your mornings start with reviewing pipeline metrics and running milestone stand-ups with engineering leads to track deliverables and resolve blockers. Midday involves cross-team coordination — dependency negotiations with partner teams, design reviews where you identify architectural risks, and escalation resolution when priorities conflict. Afternoons focus on strategic work: roadmap planning, building delivery mechanisms that eliminate manual toil, and leadership reviews where you present trade-off options and launch readiness recommendations. On any given day, you manage 4-5 active programs simultaneously while shipping automation that makes next week easier than last week.
About the team
MADS Reporting Engines owns the infrastructure that processes, stores, and serves campaign reporting data to advertisers at Amazon Ads scale. When advertisers open their console and see performance metrics — impressions, clicks, conversions, ROAS — that data flows through our systems. We process petabyte-scale data pipelines, serve hundreds of metrics to thousands of advertisers daily, and power reporting for every major Ads surface.
We're focused on scaling infrastructure to support new ad products and metrics, evolving toward near-real-time reporting, and powering next-generation AI-driven measurement interfaces. Our culture values engineering excellence, accuracy (advertisers make million-dollar decisions based on our numbers), automation over manual work, and ownership of outcomes. You'll work with MADS engineering teams, leadership, upstream data providers, downstream API teams, and Ads partner organizations across the company. Basic Qualifications: - 5+ years of technical product or program management experience
- 3+ years of software development experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience building and evaluating system-level technical design
- Experience developing and executing/delivering product and technical roadmaps Preferred Qualifications: - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
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, WA, SEATTLE - 148,700.00 - 201,200.00 USD annually
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