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People Inc. · 2 days ago

Principal Product Manager, Reporting & Optimization Insights

New York, NY

Full-time

Hybrid

Lead/Staff

$170K/yr - $190K/yr

8+ years exp

People Inc. is focused on transforming audience data and mindset intelligence, and they are seeking a Principal Product Manager to lead the strategy and development of reporting and optimization intelligence systems. This role will bridge data engineering, analytics, and go-to-market teams to evolve reporting infrastructure and deliver actionable insights.

AdvertisingCommunitiesContentDigital MediaE-CommerceEducationInternetInternet of ThingsPublishing

H1B Sponsor Likely

Responsibilities

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

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

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

Qualification

Product management experienceData visualization platformsMedia performance metricsPredictive analyticsAttribution modelingCampaign measurement frameworksCollaboration with data scienceUser-friendly reporting interfacesStakeholder managementUX sensibilityAI-assisted product featuresBackground in predictive modelingDataramaPrivacy-safe measurementCommunication skills

Required

8+ years of product management experience, ideally in ad tech, martech, analytics, or media measurement

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

Strong UX sensibility and ability to simplify data-dense experiences into intuitive, action-oriented designs

Preferred

Bachelor's degree or equivalent preferred

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)

Benefits

Medical

Dental

Vision

Prescription drug coverage

Unlimited paid time off (PTO)

Adoption or surrogate assistance

Donation matching

Tuition reimbursement

Basic life insurance

Basic accidental death & dismemberment

Supplemental life insurance

Supplemental accident insurance

Commuter benefits

Short term and long term disability

Health savings and flexible spending accounts

Family care benefits

A generous 401K savings plan with a company match program

10-12 paid holidays annually

Generous paid parental leave (birthing and non-birthing parents)

Voluntary benefits such as pet insurance

Accident

Critical and hospital indemnity health insurance coverage

Life and disability insurance

Company

People Inc.

People Inc. is a digital media company that specializes in research, technology, finance, operations, and consumer services.

Founded in 1996

New York, New York, USA

1001-5000 employees

https://www.people.inc/

H1B Sponsorship

People Inc. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2025 (2)