> Markdown version of [/jobs/ext/1974484-principal-technical-program-manager-prime-video-pv-personalization-and-discovery](https://www.wearedevelopers.com/jobs/ext/1974484-principal-technical-program-manager-prime-video-pv-personalization-and-discovery). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Technical Program Manager - Prime Video, PV Personalization and Discovery - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $177,000.0 - $239,400.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Cloud Computing, Software Design Patterns, Distributed Systems, Machine Learning, Data Driven Tests, Software Engineering, Feature Engineering, Data Ingestion, Dynamic Content - **Published:** August 7, 2026 - **Apply:** https://www.amazon.jobs/en/jobs/10495341/principal-technical-program-manager-prime-video-pv-personalization-and-discovery ## About the Role 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 ## Description In this role, you will partner closely with applied scientists, product teams, and platform engineers to define and deliver highly extensible systems that fuel personalized discovery at scale. you will lead the technical strategy and architecture of Prime Video's end-to-end personalization stack - spanning data ingestion, feature engineering, training and serving platform, candidate retrieval, multi-stage ranking, dynamic content grouping, whole page optimization, and orchestration. Your work will shape how millions of customers discover content they love, optimizing for engagement, retention, and long-term customer value., Consistently meet challenging deadlines and deliver high-quality solutions that enable the Prime Video platform to scale to meet growing customer demand. - Overcome obstacles and persist in the face of setbacks to ensure critical initiatives are successfully completed. - Proactively identify and mitigate risks, communicating regularly with stakeholders on project status and issues. - Demonstrate deep technical expertise in cloud infrastructure, distributed systems, ML/AI fluency and large-scale data processing. - Understand the architecture and design limitations of the existing Prime Video systems, ML models, and drive technical decisions that address deficiencies and optimize performance. - Use data-driven analysis to make a compelling case for project priorities and resource allocation. - Accountable for the overall strategy and successful execution of large, complex infrastructure optimization and scaling programs. - Partner closely with engineering, product, and business leaders to align initiatives with high-level objectives and achieve measurable improvements in efficiency or customer experience. - Communicate ideas effectively to a wide range of audiences, foster constructive dialogue, and lead the resolution of contentious technical issues. - Set a best-in-class example for project/program management practices, driving crisp decision-making and proactive risk mitigation. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [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) - [When React Meets Reality: Building a Real-Time Control Room for Autonomous Vehicles](https://www.wearedevelopers.com/videos/2091-when-react-meets-reality-building-a-real-time-control-room-for-autonomous-vehicles) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Build Delightful Mobile Experiences with Kotlin, Realm, and Atlas Device Sync](https://www.wearedevelopers.com/videos/694-build-delightful-mobile-experiences-with-kotlin-realm-and-atlas-device-sync) ## Related Articles - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [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) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)