Director, Technical Product Management – Audience

USA TODAY Co.
•$160,000 - $180,000•Remote

About The Position

USA TODAY Co. is seeking a strategic, commercially minded product leader to define and deliver product strategy across audience solutions, programmatic advertising, and the integration of owned media into a unified commercial experience. The role turns audience insights, media assets, and performance data into differentiated products that are easy to sell, plan, activate, measure, and optimize, shaping a growth platform at the intersection of product, data, advertising technology, and commercial transformation. The Director will own the vision, strategy, and roadmap for audience capabilities; develop data-driven audience products and their packaging, activation, pricing, measurement, and reporting frameworks; integrate owned media inventory and audience signals across commercial workflows; and guide direct and automated media monetization. The role also builds business cases and launch plans, establishes success measures, leads cross-functional work with commercial and technical teams, advises senior stakeholders on roadmaps and investments, and develops product talent across matrixed teams.

Requirements

  • 10 or more years of product management experience in digital advertising, advertising technology, media platforms, data products, or related fields.
  • 5 or more years leading complex platform products, major integrations, or multi-team transformation initiatives.
  • Strong understanding of programmatic advertising, digital media monetization, audience products, campaign workflows, and advertising operations.
  • Experience translating customer and commercial problems into platform strategy, roadmaps, product requirements, and measurable outcomes.
  • Strong analytical and commercial judgment, executive communication, and cross-functional leadership skills.
  • Deep working knowledge of Google Ad Manager or a comparable enterprise ad server, including orders, line items, targeting, pacing, creative trafficking, and reporting integrations.
  • Experience with advertising order-to-cash ecosystems, including booking, pricing, fulfillment, billing, and revenue-recognition processes, and connecting them with ad-serving and reporting platforms.
  • Understanding of modern cloud data platforms and warehouses such as BigQuery, Snowflake, Redshift, or Databricks, including audience tables, identity graphs, data marts, and scalable reporting layers.
  • Expertise in audience and identity architecture, including first-party identity resolution, consumer graphs, segment taxonomies, known and anonymous audiences, and deterministic and probabilistic matching.
  • Experience defining API and integration patterns, including REST or GraphQL, event-driven contracts, system-of-record boundaries, and data synchronization across commercial, advertising, and reporting systems.
  • Strong understanding of media monetization and yield concepts, including CPM pricing, rate cards, floor strategies, margin structures, premium and remnant inventory, and cross-channel revenue attribution.
  • Knowledge of cross-channel audience activation from owned environments into social, video, and demand-side advertising platforms.
  • Knowledge of data modeling and SQL, including dimensional models for campaign, impression, audience, and revenue data; sold-versus-delivered reconciliation; complex joins; window functions; and performance optimization on large datasets.

Nice To Haves

  • Experience launching audience-based solutions and enabling commercial teams to bring new capabilities to market.
  • Experience integrating advertising, customer-management, order-management, reporting, or revenue platforms.
  • Familiarity with AI-assisted media planning, campaign optimization, and decision-support products.
  • Experience integrating customer relationship management and commercial workflow platforms, including campaign planning, quote-to-cash, and opportunity-to-order processes in a media sales environment; Salesforce or an equivalent platform experience is beneficial.
  • Experience with business intelligence and reporting platforms that surface campaign, audience, and revenue insights to commercial teams and customers; familiarity with Looker, Tableau, or comparable tools is beneficial.
  • Understanding of creative fulfillment workflows, including how creative assets are requested, produced, approved, and routed into advertising delivery systems; experience with commercial creative workflow platforms is beneficial.
  • Working knowledge of Python or a similar language for prototyping, data validation, analysis, and workflow automation.
  • MBA or equivalent experience leading product strategy and commercial transformation.

Responsibilities

  • Define and execute the vision, product strategy, and roadmap for audience capabilities.
  • Build differentiated products using first-party, behavioral, contextual, geographic, and advertiser-permissioned data.
  • Create packaging, activation, pricing, measurement, and reporting frameworks.
  • Advance segmentation, enrichment, identity, insights, and responsible data use.
  • Integrate owned media inventory and audience signals into planning, selling, delivery, and reporting workflows.
  • Define the target experience across planning, order management, inventory, campaign delivery, optimization, and measurement.
  • Connect advertising, commercial, data, and reporting capabilities through clear platform boundaries.
  • Simplify fragmented workflows and reduce manual handoffs.
  • Own strategy for direct and automated media offerings across multiple buying models.
  • Improve yield and inventory utilization while protecting customer value and premium experiences.
  • Advance forecasting, pricing, packaging, decisioning, and campaign optimization.
  • Use performance data and market insights to prioritize investment and validate product-market fit.
  • Build business cases, launch plans, adoption strategies, and success measures.
  • Lead across Sales, Client Success, Marketing, Data, Engineering, Operations, Finance, Legal, and Privacy.
  • Guide roadmap, investment, dependency, and trade-off decisions with senior stakeholders.
  • Develop product talent and influence matrixed teams across the organization.
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