Product Manager, Ads Signals & Measurement
Summary
Product Manager who owns NewsBreak's ads signals and measurement roadmap: signal collection (pixels, CAPI, MMP), identity resolution and attribution, audience data/DMP, and advertiser reporting APIs. Requires 5+ years PM experience in adtech/measurement plus SQL and analytics tooling skills.
About NewsBreak
Local life runs on local information. What happened down the street? Who can fix this? Where should we go tonight? NewsBreak started in 2015 to answer these questions, and today more than 40 million people a month rely on us to follow what’s going on in their zip code.
Three platforms with one vision: powering local life. Led by founder and CEO Jeff Zheng, NewsBreak is our local life and news platform; Nearby AI connects people with local businesses; and NDot AI helps publishers and creators grow and earn.
Building for the long term. A $115 million Series C made us a unicorn in 2021, and we keep investing in our people. We’re Great Place to Work® certified and named to Fast Company’s Best Workplaces for Innovators (2025) and Fortune’s Best Workplaces in the Bay Area™ (2026).
Everyone makes an impact. Whether you write code, shape products, tell our story, or run the business, we want people who own projects end to end, stay curious, and speak up. Join us.
Learn more at: NewsBreak, Nearby AI, NDot AI
About the role
We are looking for a Product Manager to lead our ads signals and measurement capabilities, spanning signal collection, identity resolution, audience data, attribution, and advertiser reporting.
You will own the product roadmap for the systems that help advertisers measure performance and enable our advertising platform to use data effectively for targeting and optimization. Working closely with Engineering, Data Science, BI, and cross-functional product teams, you will improve signal quality, build intuitive measurement tools, and support responsible data use across our advertising ecosystem.
Key Responsibilities
1. Signal Collection & Quality
- Own the roadmap for advertiser signal collection through pixels, Conversions API (CAPI), and mobile measurement partner (MMP) integrations.
- Improve signal coverage, accuracy, freshness, and reliability, including event validation, deduplication, and integration diagnostics.
- Partner with advertiser-facing teams to increase adoption of tracking integrations and with Engineering and Data Science to improve signal utilization in targeting, optimization, and measurement.
2. Identity Resolution & Attribution
- Develop identity resolution capabilities that connect events to users using permitted first-party identifiers and, where appropriate, probabilistic matching.
- Define requirements for conversion attribution across supported channels and devices, accounting for signal availability and privacy constraints.
- Establish metrics to evaluate identity matching and attribution quality, and improve the consistency of measurement across systems.
3. Audience Data & Data Management Platform
- Define and execute the roadmap for our data management platform (DMP), supporting data collection, audience segmentation, and activation.
- Partner with Engineering to build scalable, reliable data infrastructure with appropriate controls for data access, retention, and use.
- Enable audience data to support relevant ad targeting and campaign optimization.
4. Advertiser Reporting & APIs
- Lead the development of accurate, intuitive advertiser reporting tools that help advertisers understand campaign performance and take action.
- Define consistent metrics and reporting requirements, and address discrepancies across reporting and measurement systems.
- Own product requirements for reporting APIs that enable advertisers and partners to access performance data programmatically.
5. Internal Analytics & Measurement
- Partner with BI to define KPIs and develop dashboards that support operational monitoring, performance analysis, and product decisions.
- Ensure key metrics are consistently defined and accurately tracked across systems.
- Identify gaps in internal analytics and prioritize improvements based on business impact.
6. User Insights & Profile Enrichment
- Partner with the news app team to incorporate permitted behavioral and contextual signals into audience profiles and targeting capabilities.
- Translate user insights into opportunities to improve ad relevance and advertiser performance.
- Work with Data Science and Engineering to evaluate the incremental value of new signals.
7. Privacy & Data Governance
- Partner with Legal, Privacy, and Engineering to translate applicable privacy requirements and platform policies into product requirements.
- Incorporate consent, data minimization, retention, and access controls into signal collection and data activation workflows.
- Anticipate how changes in privacy requirements and signal availability affect the product roadmap.
Qualifications
Experience
- 5+ years of product management experience, preferably in advertising technology, measurement, or data platforms.
- Hands-on experience building or managing ads tracking and attribution products, including pixels, server-to-server integrations such as CAPI, and MMP integrations.
- A track record of shipping products that improve data quality, measurement, or advertiser outcomes.
Technical Skills
- Proficiency in SQL and experience using analytics tools such as Tableau, Looker, or Power BI.
- Working knowledge of APIs, event schemas, ETL processes, and data pipelines.
- Ability to translate complex data and measurement needs into clear product requirements and measurable success criteria.
Domain Expertise
- Strong understanding of conversion tracking, identity resolution, attribution methodologies, and campaign reporting.
- Familiarity with audience segmentation, DMPs or customer data platforms (CDPs), and tracking technologies such as pixels and SDKs.
- Practical understanding of how privacy requirements, including GDPR and CCPA, affect data collection, identity resolution, and activation.
Collaboration & Leadership
- Strong communication skills, with the ability to explain technical concepts and trade-offs to technical and non-technical audiences.
- Strong analytical judgment and prioritization skills, balancing advertiser needs, business impact, technical complexity, and privacy considerations.
- Demonstrated ability to lead cross-functional initiatives with Engineering, Data Science, BI, Product, Sales, and Legal.
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Skills
As published by greenhouse · 8 questions · 1 written answer
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter
Short answers (4)
- Preferred First Name optional
- What are your base salary expectations for this role?
- What is the earliest date you could start if offered this role?
- LinkedIn Profile optional
Pick from a list (3)
- Are you legally authorized to work in the United States?
- Will you now or in the future require visa sponsorship to work in the United States?
- This role is based in our Bellevue, WA office and requires working onsite. Are you able to work onsite in Bellevue, WA (or willing to relocate)?
Written answers (1)
- Briefly describe your hands-on experience building or managing ads tracking, attribution, or measurement products (e.g., pixels, Conversions API/server-to-server integrations, MMP integrations, advertiser reporting). What was your role and impact?