Senior TPM, Forecasting & Guidance - ML-Driven Programs

Amazon

Mountain View (CA)

On-site

USD 204,000 - 275,000

Full time

13 hours ago

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Job summary

Amazon Advertising LLC in Mountain View, CA, seeks a Principal Technical Program Manager to lead large-scale programs delivering forecasting and guidance experiences powered by ML and conversational AI. You will bridge engineering, applied science, and product teams to help advertisers plan, optimize, and measure campaigns at scale—shaping the future of digital advertising.

You will drive architecture decisions, manage risk across distributed systems, and collaborate with senior stakeholders to

Qualifications

7+ years of technical product or program management experience.
7+ years of working directly with engineering teams 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.
Experience working directly with engineering teams.
Bachelor's degree in computer science or other related discipline.

Responsibilities

Own end-to-end program management for advertiser-facing forecasting and guidance experiences, including interactive planning surfaces and conversational AI tools, 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.