Amazon is investing in building a customer centric, world class advertising business. In this role, you will be on the forefront of developing publisher solutions across Streaming Video, Streaming Audio and Display Advertising. These are nascent, high growth areas, including Amazon Prime Video, Amazon Music, and new acquisitions in Podcasting, where scalable, programmatic Ad publisher solutions are critical to business success.

You will be working closely with engineering and science organizations and will own planning and program execution for new products and features to help publishers comply with privacy and competition regulations within Amazon Publisher Technology Ad Tech stack. You will work across multiple organizations and develop requirements in the form of high-level epics and roadmaps, as well as detailed user stories for developing different components of the data processing solution.

You will partner with science and engineering leaders to build the long-term and short-term roadmap and ensure timely release of products and solutions. You will work closely with scientists and engineers building new systems and solutions, influencing product features and architectural choices that lead to better experiences for media publishers, advertisers and end consumers.


Key job responsibilities
• Stay up-to-date with developments in worldwide regulations impacting Ad Publishers
• Establish a vision for PubTech compliance and drive organizational alignment to that vision
• Build a coherent roadmap delivering on that vision and accounting for risk/learning
• Work with engineering and science teams to plan and execute technical programs, product launches, operational activities, and process improvements
• Foster healthy, active cross-team relationships. Use stakeholder input to identify clear priorities and requirements
• Understand cross-team and cross-project dependencies. Be able to see around corners to address issues early
• Continually raise the bar on deliveries, launches, requirements, operations, process
• Derive learning from projects and feature deliveries. Use this information to inform new features and process for core and shared components