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Our client is seeking a Senior Product Manager to join their team. This role is integral to the development of measurable out-of-home media channels, using top-tier methodologies to inform marketing investment decisions. This anon-site role at our client's location, with options in Seattle, LA, or NYC.

Responsibilities:

1. Responsible for charting the course for the Fleet and Packaging measurement models and operational analytics toolkit, setting the roadmap priorities, defining the feature requirements for what we measure.
2. Partner with product, operations, engineering, and science teams to translate business needs into a logical measurement design that balances data processing effort, operational excellence, and driving customer insights about which marketing and creative approaches work best.
3. Apply learning from the current set up to scope product expansion to other markets.
4. Work with tech teams to create the analytics dashboards and monitoring tools to understand operational efficiency and impact of the program.
5. Work with cross-functional teams to evolve your ideas and bring them to life, making all the tough tradeoffs along the way.

Requirements:

1. 5+ years of product or program management or product marketing, business development or technology experience
2. Bachelor's degree
3. Experience with feature delivery and tradeoffs of a product
4. Experience owning/driving roadmap strategy and definition
5. Experience with end to end product delivery
6. Experience contributing to engineering discussions around technology decisions and strategy related to a product
7. Experience managing technical products or online services
8. Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
9. Experience in using analytical tools, such as Tableau and QuickSight
10. Experience in building and driving adoption of new tools
11. Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making
12. Experience with machine learning to support model automation