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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Technical Program Manager, Forecasting Insights and Guidance - **Company:** Amazon.com, Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $203,500.0 - $275,300.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Design Patterns, Distributed Systems, Machine Learning, Presentation Programs, Recommender Systems, Information Technology - **Published:** August 13, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/27927875/Principal-Technical-Program-Manager-Forecasting-Insights-Guidance-New-York-New-York-7375 ## About the Role 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 - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy 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 - Experience with AI/ML technologies - Experience leading complex programs with significant change impact across organizational boundaries - Experience in user experience design, product strategy, or customer-facing product development. ## Description At Amazon Ads, we're re-imagining the advertising landscape through advanced generative AI technologies and AI agents, revolutionizing how millions of customers discover products and engage with brands online. As a Principal Technical Program Manager, you'll lead large-scale technical programs that deliver forecasting and guidance experiences powered by machine learning and conversational AI. You'll bridge engineering, applied science, and product teams to ensure advertisers have the tools to plan, optimize, and measure campaigns at scale-shaping the future of digital advertising., 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. 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 for conversational AI tools that help advertisers diagnose campaigns, conduct launch-readiness reviews for forecasting accuracy improvements, and unblock cross-team dependencies that integrate recommendations into partner-owned surfaces. 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. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Best Practices for AI-Assisted Development of Distributed Systems](https://www.wearedevelopers.com/videos/100200-best-practices-for-ai-assisted-development-of-distributed-systems) - [100 million days in Vienna: A story of APIs & AI in tourism.](https://www.wearedevelopers.com/videos/93-100-million-days-in-vienna-a-story-of-apis-ai-in-tourism) - [Fireside Chat with Werner Vogels, VP & CTO, Amazon.com & Daniel Gebler, CTO at Picnic](https://www.wearedevelopers.com/videos/1405-fireside-chat-with-werner-vogels-vp-cto-amazon-com-daniel-gebler-cto-at-picnic) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) ## Related Articles - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Should Tech Managers Be Developers First? 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