Demo

Principal Product Manager

People Inc.
York, NY Full Time
POSTED ON 12/24/2025
AVAILABLE BEFORE 2/7/2026

Job Title

Principal Product Manager, Reporting & Optimization Insights


Job Description

About The Position | Major goals and objectives and location requirements

The Principal Product Manager is experienced and analytically minded and will lead the strategy and development of D/Cipher reporting, measurement, and optimization intelligence systems. This role will define how performance data is structured, visualized, and activated across the media lifecycle transforming how internal teams and clients interpret campaign impact and identify optimization opportunities.


This cross-functional leadership role will bridge data engineering, analytics, and go-to-market teams to evolve our reporting infrastructure into a dynamic, insight-generating platform. The role is responsible for designing products that simplify complex datasets, automate insight surfacing, and deliver measurable value through predictive reporting and optimization tools.

The work will directly power the next generation of D/Cipher Plus measurement experiences — unifying campaign dashboards, attribution systems, and feedback loops that inform both current and future.


This position offers remote work flexibility; however, if you reside within a commutable distance to one of our main offices in New York, Des Moines, Birmingham, Los Angeles, Chicago, or Seattle, the expectation is to work from the office three times per week.


About The Team | The Team and/or Brand.

D/Cipher is People Inc.’s audience data and mindset intelligence offering, focused on transforming People Inc.’s readership insights into scalable off-platform programmatic activations across the ad tech ecosystem. The team’s mission is to connect context, intent, and performance — powering smarter marketing decisions at scale across a wide range of inventory channels and platforms.


About The Positions Contributions:

Reporting & Measurement Systems 34%

  • Own the roadmap for campaign reporting and measurement tools that deliver clear, actionable insights to internal and client-facing users.
  • Lead the design and delivery of unified campaign dashboards that visualize performance across audience, taxonomy, and creative dimensions.
  • Partner with Data Engineering and Measurement Science teams to operationalize multi-touch attribution, conversion tracking, and KPI normalization frameworks.
  • Integrate campaign reporting systems with D/Cipher’s predictive and identity frameworks to create a closed-loop view from exposure to outcome.
  • Develop intelligent reporting experiences that surface key wins, contextualize performance, and proactively highlight anomalies or optimization opportunities.
  • Define data models and schemas that enable scalable, reusable reporting templates across client, vertical, and campaign types.


Optimization Insights & Predictive Intelligence 33%

  • Build tools that transform measurement outputs into proactive recommendations — helping internal and external users understand not just what happened, but what to do next.
  • Collaborate with Data Science to integrate predictive analytics that estimate performance lift, pacing, and conversion potential.
  • Drive the development of optimization signals that feed into forecasting models and targeting recommendations across D/Cipher’s ecosystem.
  • Partner with UX and Design to embed AI-assisted insights (e.g., intelligent summaries, anomaly detection, optimization copilots) into reporting interfaces.


Cross-Functional Product Leadership 33%

  • Collaborate with Sales, Client Success, and Insights teams to ensure reporting aligns with client objectives and supports renewal and upsell conversations.
  • Work closely with Engineering and Data teams to ensure measurement products are performant, reliable, and aligned with D/Cipher’s overall data infrastructure.
  • Establish clear requirements for data ingestion, normalization, and visualization to support measurement automation and future-proof the reporting architecture.
  • Champion data quality and interpretability, ensuring consistency and transparency in how metrics are calculated and communicated across teams.


The Role’s Minimum Qualifications and Job Requirements:

  • Education: Bachelor’s degree or equivalent preferred
  • Experience: 8 years of product management experience, ideally in ad tech, martech, analytics, or media measurement.


Specific Knowledge, Skills, Certifications and Abilities:

  • Proven experience building and launching data visualization, analytics, or reporting platforms.
  • Strong understanding of media performance metrics, attribution modeling, and campaign measurement frameworks.
  • Experience translating analytical outputs into user-friendly reporting interfaces or storytelling tools.
  • Demonstrated collaboration with data science, analytics, and engineering teams to operationalize complex datasets.
  • Reporting tools evolve from static dashboards to interactive, intelligence-driven systems.
  • Optimization insights are surfaced automatically and integrated into ongoing campaign management.
  • Measurement data directly informs predictive systems, improving planning and targeting performance.
  • Internal teams and clients gain a unified, transparent, and automated view of campaign success and opportunity.
  • Comfort defining KPIs, data taxonomies, and measurement methodologies that scale across multiple products or platforms.
  • Excellent communication and stakeholder management skills; able to synthesize technical and business requirements into a coherent vision.
  • A product mindset that values automation, usability, and interpretability — not just data delivery.
  • Familiarity with agentic or AI-assisted product features that enhance reporting or analytics workflows.
  • Background in predictive modeling or optimization intelligence within ad tech ecosystems.
  • Experience with Datarama, Tableau, or custom visualization tools.
  • Understanding of identity, data collaboration, or privacy-safe measurement systems (e.g., clean rooms, encrypted match frameworks).
  • Strong UX sensibility and ability to simplify data-dense experiences into intuitive, action-oriented designs.

Salary : $170,000 - $190,000

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