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 an on-site role at our client's location, with options in Seattle, LA, or NYC.

Responsibilities:
-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.
-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.
-Apply learning from the current set up to scope product expansion to other markets.
-Work with tech teams to create the analytics dashboards and monitoring tools to understand operational efficiency and impact of the program.
-Work with cross-functional teams to evolve your ideas and bring them to life, making all the tough tradeoffs along the way.
 
Requirements:
-5+ years of product or program management or product marketing, business development or technology experience
-Bachelor's degree
-Experience with feature delivery and tradeoffs of a product
-Experience owning/driving roadmap strategy and definition
-Experience with end to end product delivery
-Experience contributing to engineering discussions around technology decisions and strategy related to a product
-Experience managing technical products or online services
-Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
-Experience in using analytical tools, such as Tableau and QuickSight
-Experience in building and driving adoption of new tools
-Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making
-Experience with machine learning to support model automation