Director of Product Management

About This Role

Directing product management for measurement and insights products is the core of this role, driving the product vision and execution as the offering and client base grow. The role involves defining and building the next generation of offerings in collaboration with a cross-functional team, and suits a product leader with enterprise product expertise and a deep technical understanding of media measurement or research methods.

Responsibilities

• Drive the product vision and execution of measurement and insights products as the offering and client base grow
• Define and build the next generation of Measurement & Optimization offerings in collaboration with a cross-functional team of engineers, data scientists, product managers, and sales and client service leads
• Own the product strategy, business planning, roadmap, and requirements definition for your own product offering
• Evangelize product solutions with internal teams, clients, and industry partners
• Collect user and client feedback via both direct and indirect channels and translate them into product requirements where applicable
• Collaborate with key clients on implementation strategy and adoption of new features
• Manage high visibility product launches and define and track KPIs to measure success and identify ongoing improvements
• Potentially manage 1-2 Product Managers

Requirements

• 8+ years of experience in a product management role, including 3+ years managing direct reports
• Deep understanding of digital marketing, advertising technology, market research, or a similar industry, with specific expertise in media effectiveness measurement
• Hands-on familiarity with the data that flows out of the ad tech stack — DSPs (e.g., DV360, The Trade Desk, Amazon DSP), ad servers, and SSPs — including log-level/impression-level data, bid and delivery signals, and audience and taxonomy data
• Personally rolled out measurement technology solutions to large enterprises and/or their agencies, owning both the client-facing reporting layer and the underlying methodology
• Proven track record leading mixed-discipline teams where you are the connective tissue between functions — partnering with data scientists on methodology and model validation, with analysts on insight generation and QA, with engineers on data pipelines and platform tradeoffs, and mentoring junior PMs on scoping and execution
• Ability to translate a statistical approach into a client-ready narrative, and client asks into a well-specified technical requirement
• Experience working closely and managing asynchronous communication with a geographically distributed team
• Strong SQL skills, including writing your own queries against large datasets to validate outputs, size opportunities, and debug discrepancies