Senior Product Manager, Social Ad Measurement

What you'll do

• Own end-to-end product strategy and roadmap for ad measurement and intelligence across social platforms and walled gardens
• Build and scale real-time quality, attention, and performance metrics correlating with brand and business KPIs
• Lead products from concept through launch and scaled adoption
• Partner with Engineering and Data Science teams to deliver AI/ML-powered measurement and analytics solutions
• Translate product vision into epics, user stories, and success metrics for development
• Drive cross-channel solutions spanning open web, mobile, CTV, and platform-native environments
• Analyze large-scale datasets and model outputs to inform prioritization, roadmap decisions, and product strategy
• Engage with Sales and Client Services to gather customer feedback and identify unmet needs
• Partner with Product Marketing on product positioning, messaging, and enablement
• Collaborate with Business Development and Integration teams to support platform partners, publishers, and advertisers
• Lead user acceptance testing to ensure accuracy, reliability, and production readiness
• Monitor industry trends across ad measurement, attention, privacy, and AI to identify product opportunities

Requirements

• 4+ years of product management experience in AdTech, MarTech, digital media, or data-driven technology
• Proven experience delivering measurement, analytics, or AI/ML-powered products
• Strong track record of 0-1 product development and scaling products post-launch
• Comfort working with engineering and data science teams on complex systems
• Excellent analytical skills with ability to connect metrics to business outcomes
• Experience writing detailed PRDs and driving execution in fast-paced environments
• Ability to communicate complex technical concepts clearly to stakeholders at all levels
• High-ownership, proactive mindset with strong cross-functional influence
• Preferred: Experience in AdTech or Martech with familiarity across social platforms, walled gardens, and programmatic ecosystems
• Preferred: Knowledge of ad quality, attention, viewability, or performance measurement methodologies
• Preferred: Hands-on exposure to AI/ML concepts, model-driven products, or advanced analytics workflows
• Preferred: Working knowledge of databases, SQL, Python, APIs, and large-scale integrations
• Preferred: Experience partnering with Sales and Marketing on go-to-market execution
• Preferred: Proven ability to balance customer needs with business objectives and revenue growth

Tech stack

Benefits