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Interested in applying machine learning to make a real world impact to customers and business? Let's chat!

Amazon’s Automated Marketing and Events (AME) Technology team is building the Internet's largest-scale Search and Social Marketing systems. Our Applied Machine learning team is responsible for a number of algorithms that automatically generate, target, measure, and optimize tens of millions of search engine and social media ad placements that drive a significant portion of Amazon's business. The ad placements include Text ads, Product image based Shopping Ads and Video Ads. We routinely solve challenges related to large scale distributed systems and web services. We manage a continuously growing portfolio of advertisements while maximizing returns through bidding efficiency and discovery of new keywords, products and revenue opportunities. Cutting edge technology and algorithms including statistical modeling, Generative AI, machine learning, and data mining are the core of our business. Search and Social Marketing drives a large portion of Amazon’s traffic and business, and represents a unique opportunity to drive impact on the company’s bottom line. We also focus on developing novel A/B experimentation mechanisms to measure efficacy of our ML solutions. With essentially full ownership of our own product road map, there is a large R&D component to our work, and strong engineering skills together with sound business understanding and an appetite for innovation are highly valued.

You will go home and show your family and friends why they receive this ad or content recommendation on Google/Facebook from Amazon. You will make a difference by improving the relevancy for customers and optimizing the investment level for Amazon. You will work with diverse teams and channels. You will work on a myriad of interesting and challenging problems in marketing and advertising, where you get an opportunity to hone your skills in Large language models, supervised and unsupervised machine learning techniques to make a real impact to the world. You will work on solving challenging problems at the intersection of e-commerce and internet advertising, while gaining knowledge about the ever dynamic and evolving digital marketing landscape.

Who are we looking for?

We are looking for passionate Sr. Technical Program Managers (TPMs) to work with our bright ML scientists and engineers to build best-in-class advertising and Marketing technology, including LLM aided marketing content generation to power Amazon ads. This is a highly visible role that requires substantial business acumen as well as technical depth and ability to work with variety of external partners including technical and product teams from Google, Bing, Facebook, TikTok, Snap and Pinterest. If you are passionate about innovation, want to have organization-wide impact, and are looking for opportunities to drive key ML-related programs from idea all the way to production, we look forward to talking to you.


What will you be doing?

As a Sr Technical Program Manager, you will be responsible for scoping and delivering large end-to-end ML-related projects, including Generative AI applications. You will collaborate with internal Amazon teams and external industry partners from Google, Facebook etc. to understand the current systems, influence their product roadmap by proposing new solutions for Search and Social media Marketing programs. You will communicate findings and results to senior leadership. You will ensure our team of engineers and scientists work efficiently to solve the most challenging problems for Amazon, and help deliver machine learning models to solve the optimization problems. You will help shape and drive the roadmap for the org.

If you've read this far, apply now!


Key job responsibilities
Responsibilities include :
- Coordinate with cross-functional teams (e.g., ML scientists, engineers, Marketing and product managers, etc.) to define business and technical requirements to architect and execute best-in-class ML implementations in agile manner.
- Communicate project status, mathematical results to a broad audience including senior management.
- Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts
- Clarify ambiguities along the road. Define delivery scope, timeline, roadmap, and milestones clearly and properly.
- Estimate project impact and development effort. Make appropriate trade-offs to optimize return-on-investment and make the best use of resources.
- Proactively identify risks, bottlenecks, and roadblocks. Initiate technical deep dives and/or organize working sessions to solve problems and mitigate risks.