Technical Program Manager III, Forecasting, Insights, and Guidance
Amazon is hiring a Technical Program Manager III, Forecasting, Insights, and Guidance in New York, United States. It pays $164k-$221k a year and Level rates it ; you can apply on Level.
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 AI agents among its tools and skills.
- Level classes it as a mid-level role.
- Amazon has 22,000+ other open roles on Level.
- This posting went up in the last few days.
AI in this role
Key job responsibilities
- Own end-to-end program management for advertiser-facing forecasting and guidance experiences, including interactive planning surfaces, coordinating across multiple teams and organizational leaders.
- Drive technical strategy and roadmap alignment across engineering, applied science, product, and business teams, sequencing dependencies and delivering against committed timelines.
- Lead cross-functional teams through complex technical challenges in demand forecasting, recommendation systems, campaign management, and measurement.
- Establish program governance, metrics, and reporting mechanisms to ensure visibility and accountability; define success metrics around coverage, adoption, engagement, accuracy, and business impact.
- Identify, assess, track, and mitigate technical and operational risks across large-scale distributed systems, including calibration, monitoring, and rollback mechanisms required to safely ship machine learning-driven experiences.
- Partner with engineering and applied science leaders to influence architecture decisions and plan the launch of model improvements into customer-facing surfaces.
- Build and maintain relationships with senior stakeholders across Amazon Ads and partner organizations, negotiating integration points where forecasting and guidance capabilities connect with shared advertiser surfaces.
A day in the life
Your day centers on driving large-scale technical programs that transform how advertisers interact with Amazon Ads. You’ll lead design reviews of tools that help advertisers diagnose campaigns, conduct launch-readiness reviews for forecasting accuracy improvements, and navigate and align cross-org roadmaps. You’ll draft risk narratives for business reviews and prepare presentations for VP-level leadership, translating technical insights into actionable recommendations. Throughout the day, you’ll connect insights across applied science, engineering, product, and design to ensure multiple workstreams align into one coherent customer experience.
About the team
We build the intelligence layer that powers Amazon's advertising demand. Our forecasting predicts impressions, spend, reach, and performance for advertiser campaigns, while our guidance systems surface personalized recommendations that help advertisers create better campaigns and quickly resolve delivery and performance issues. We are a collaborative team of applied scientists, engineers, product managers, and designers working at the frontier of machine learning for advertising. We prioritize accuracy, trust, and customer outcomes—making trade-offs explicit, keeping ownership clear, and maintaining a high bar for quality. You'll work with partners across engineering, product, UX, sales, and marketing to solve complex problems that shape the future of digital advertising.
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
- Experience managing and deploying ML products
- Experience in an online advertising role and have familiarity with advertising products and ad serving technologies
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, NY, New York - 163,600.00 - 221,300.00 USD annually
How we rate this
Technical Program Manager III, Forecasting, Insights, and Guidance at Amazon rates 21 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. Open the description and count.
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