Senior Technical Program Manager, Audience Targeting

New
M
MNTNAdTech, MarTech
Within the USFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years

Requirements

  • 5+ years of Product Management or Technical Program Management experience within AdTech or MarTech
  • Direct ownership of audience targeting or segmentation systems
  • Proven track record of improving campaign performance through targeting strategies (e.g., conversion lift, efficiency gains, higher-quality audiences)
  • Deep experience working with audience segmentation platforms
  • Deep experience working with identity graphs or identity resolution systems
  • Deep experience working with targeting and optimization systems
  • Strong understanding of data pipelines and audience ingestion flows
  • Strong understanding of signal quality, enrichment, and data reliability
  • Strong understanding of tradeoffs between scale, accuracy, and latency in targeting systems
  • Experience partnering closely with Data Science or ML teams on model-driven targeting
  • Ability to define, measure, and iterate using experimentation and performance data
  • Strong analytical skills; ability to translate data into product decisions
  • Excellent stakeholder management and communication skills

Responsibilities

  • Own the roadmap for audience targeting capabilities, including segmentation, targeting logic, and supporting infrastructure
  • Translate company objectives into targeting strategy that enables customers to improve campaign performance
  • Identify high-impact opportunities to improve targeting precision, scale, and usability
  • Define clear problem statements grounded in customer outcomes (e.g., reach, match rate, performance lift)
  • Establish success metrics for targeting capabilities and ensure alignment across stakeholders
  • Prioritize initiatives based on expected impact to customer performance and business value
  • Partner with Engineering and Data Science to design targeting systems that balance accuracy vs scale, latency vs performance, and flexibility vs system complexity
  • Ensure solutions are durable, measurable, and aligned with long-term platform direction
  • Work closely with Data and Engineering to understand audience ingestion pipelines, identity resolution inputs and dependencies, and data quality and signal reliability
  • Translate system constraints into product decisions and roadmap sequencing
  • Engage deeply in discussions around data models, APIs, and targeting infrastructure
  • Own performance of targeting capabilities as measured by campaign performance improvements, audience match rates, signal utilization, targeting efficiency and precision
  • Drive iteration through experimentation, data analysis, and performance monitoring
  • Ensure targeting capabilities consistently enable acquisition of high-value customers
  • Drive alignment across Engineering, Data Science, Product, and Marketing teams
  • Act as the central point of accountability for targeting strategy and tradeoffs
  • Communicate clearly with leadership on performance, risks, and opportunities
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