Product Manager, Ads Signals & Measurement

<div class="content-intro"><p><strong>About NewsBreak</strong></p> <p><strong>Local life runs on local information.</strong> 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.</p> <p><strong>Three platforms with one vision: powering local life.</strong> 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.</p> <p><strong>Building for the long term.</strong> 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 <em>Fast Company</em>’s Best Workplaces for Innovators (2025) and <em>Fortune</em>’s Best Workplaces in the Bay Area™ (2026).</p> <p><strong>Everyone makes an impact.</strong> 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.</p> <p>Learn more at: NewsBreak, Nearby AI, NDot AI</p></div><h2><strong>About the role</strong></h2> <p>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.</p> <p>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.</p> <h2><strong>Key Responsibilities</strong></h2> <h3><strong>1. Signal Collection & Quality</strong></h3> <ul> <li>Own the roadmap for advertiser signal collection through pixels, Conversions API (CAPI), and mobile measurement partner (MMP) integrations.</li> <li>Improve signal coverage, accuracy, freshness, and reliability, including event validation, deduplication, and integration diagnostics.</li> <li>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.</li> </ul> <h3><strong>2. Identity Resolution & Attribution</strong></h3> <ul> <li>Develop identity resolution capabilities that connect events to users using permitted first-party identifiers and, where appropriate, probabilistic matching.</li> <li>Define requirements for conversion attribution across supported channels and devices, accounting for signal availability and privacy constraints.</li> <li>Establish metrics to evaluate identity matching and attribution quality, and improve the consistency of measurement across systems.</li> </ul> <h3><strong>3. Audience Data & Data Management Platform</strong></h3> <ul> <li>Define and execute the roadmap for our data management platform (DMP), supporting data collection, audience segmentation, and activation.</li> <li>Partner with Engineering to build scalable, reliable data infrastructure with appropriate controls for data access, retention, and use.</li> <li>Enable audience data to support relevant ad targeting and campaign optimization.</li> </ul> <h3><strong>4. Advertiser Reporting & APIs</strong></h3> <ul> <li>Lead the development of accurate, intuitive advertiser reporting tools that help advertisers understand campaign performance and take action.</li> <li>Define consistent metrics and reporting requirements, and address discrepancies across reporting and measurement systems.</li> <li>Own product requirements for reporting APIs that enable advertisers and partners to access performance data programmatically.</li> </ul> <h3><strong>5. Internal Analytics & Measurement</strong></h3> <ul> <li>Partner with BI to define KPIs and develop dashboards that support operational monitoring, performance analysis, and product decisions.</li> <li>Ensure key metrics are consistently defined and accurately tracked across systems.</li> <li>Identify gaps in internal analytics and prioritize improvements based on business impact.</li> </ul> <h3><strong>6. User Insights & Profile Enrichment</strong></h3> <ul> <li>Partner with the news app team to incorporate permitted behavioral and contextual signals into audience profiles and targeting capabilities.</li> <li>Translate user insights into opportunities to improve ad relevance and advertiser performance.</li> <li>Work with Data Science and Engineering to evaluate the incremental value of new signals.</li> </ul> <h3><strong>7. Privacy & Data Governance</strong></h3> <ul> <li>Partner with Legal, Privacy, and Engineering to translate applicable privacy requirements and platform policies into product requirements.</li> <li>Incorporate consent, data minimization, retention, and access controls into signal collection and data activation workflows.</li> <li>Anticipate how changes in privacy requirements and signal availability affect the product roadmap