> Markdown version of [/jobs/ext/1405680-sr-technical-program-manager-selection-monitoring](https://www.wearedevelopers.com/jobs/ext/1405680-sr-technical-program-manager-selection-monitoring). 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). --- # Sr. Technical Program Manager, Selection Monitoring - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $148,700.0 - $201,200.0 - **Contract:** Permanent contract - **Skills:** Big Data, Distributed Systems, Information Retrieval, Machine Learning, Service-Oriented Architecture, Software Engineering, Parallel Computation, Semi-structured Data - **Published:** July 23, 2026 - **Apply:** https://www.amazon.jobs/en/jobs/10476595/sr-technical-program-manager-selection-monitoring ## About the Role The ideal candidate will have excellent product management, program management, problem solving and communication skills and be comfortable interacting with technical and non-technical stakeholders at all levels. In addition, the ability to work backwards and think about the program from a customer perspective is crucial., 5+ years of technical product or program management experience - 7+ years of working directly with engineering teams 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 Preferred Qualifications - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership - Experience building and evaluating system-level technical design ## Description Amazon's Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger by powering the World Product Catalog. Our systems process billions of products to algorithmically find products not already sold on Amazon and programmatically add them to the Amazon catalog. We apply parallel processing, machine learning and deep learning algorithms to evaluate products and brands in order to identify and prioritize products and brands we should add to Amazon's catalog. Teams across Amazon worldwide consume our datasets and systems to improve: product information, search and discoverability, pricing, and delivery experience. Our work involves building state-of-the-art Information Retrieval (IR) systems to mine the web and automatically create structured entities from un-structure/semi-structured data. We constantly stretch the boundaries of large-scale distributed systems, Elastic Computing, Big Data, and SOA technologies to tackle challenges at Amazon's global scale. Come join us in our journey to make everything - and yes, we do mean *everything* - that anyone wants to buy, available on Amazon!, Understand your customers and their pain points; work with your users and stakeholders to find solutions that help them enable their scenarios. - Drive execution of cross-team and cross-org projects from inception to launch, formulate product vision and strategy, define and prioritize road maps, define user stories. - Work closely with software development teams on defining, designing and delivering high-quality products; provide feedback on architecture, design, and priorities. - Engage with teams across Amazon to evangelize your team's products and build relationships. - Identify, assess and mitigate risks, provide escalation management, anticipate and make trade-offs balancing the business needs vs. constraints - Clearly communicate plan and project status to management and key technical and business stakeholders ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Hiring Technical Leaders: Promote from Within or Go External?](https://www.wearedevelopers.com/videos/100167-hiring-technical-leaders-promote-from-within-or-go-external) - [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) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## 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) - [Should Tech Managers Be Developers First? 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