Director of Product Management, Measurement

What you'll do

• Own the product vision and multi-quarter roadmap across DSP, SSP, and CDP — ensuring coherence across bid decisioning, audience activation, measurement, and attribution
• Define and evolve Zeta's unified audience architecture, bridging first-party data, ZID-based identity resolution, and real-time signal enrichment
• Drive the narrative around Zeta's competitive differentiation as the only independent stack with owned data, owned supply, and owned decisioning
• Establish Zeta's measurement philosophy end-to-end — connecting media investment to business outcomes across impression, engagement, conversion, and revenue
• Own the product strategy for closing the loop between measurement signals and campaign execution — ensuring that performance data actively informs and optimizes bid decisioning, pacing, and audience targeting in real time
• Define how Zeta translates advertiser campaign goals (ROAS, CPA, reach, brand lift) into platform-level optimization signals, with AI serving as the connective tissue between measurement outputs and activation levers
• Partner with Athena AI teams to embed outcome-oriented intelligence directly into campaign workflows — moving beyond post-campaign reporting toward in-flight measurement that drives continuous optimization
• Establish feedback loop architecture that connects impression-level data, conversion signals, and third-party measurement inputs into a unified performance intelligence layer
• Define evaluation frameworks that ensure AI-driven recommendations are tied to client defined KPIs, are explainable to practitioners, and build trust across both managed and self-serve customers
• Own the product strategy for omnichannel measurement spanning digital, CTV, and linear — enabling advertisers to plan, activate, and measure across converged TV environments
• Drive integration with ACR (Automatic Content Recognition) data sources to enable cross-screen exposure measurement, frequency management, and outcome attribution against linear and streaming viewership
• Define Zeta's approach to co-mingling first-party, second-party, and panel-based data for deduplicated reach and frequency reporting across screens
• Partner with data and engineering teams to build durable infrastructure for identity-linked TV measurement — bridging household graphs, device graphs, and deterministic signals
• Stay ahead of industry shifts in currency alternatives, measurement accreditation (MRC), and the evolving role of clean rooms in cross-platform attribution
• Own the product vision for campaign analytics, audience insights, and cross-channel attribution — enabling clients to connect media investment to business outcomes
• Define the roadmap for self-serve reporting and insights tooling, including role-based access, white-label capabilities, and API-first data delivery
• Establish measurement standards that bridge Zeta's proprietary signals with emerging industry frameworks (clean rooms, incrementality, attention metrics)
• Determine the strategy for integrating with third-party measurement partners (e.g., Nielsen, iSpot, Comscore, DoubleVerify) and define how actionable data from external execution platforms — DSPs, social, search, and retail media — flows into Zeta's reporting and optimization layer
• Partner with GTM, revenue, and client success teams to translate platform capabilities into compelling commercial narratives — including for flagship events and client engagements
• Lead and mentor a team of product managers, establishing a culture of rigor, customer empathy, and outcome orientation
• Influence C-suite product strategy and represent the Ad Tech platform in executive forums, client QBRs, and industry venues (Cannes, CES, IAB)

Requirements

• 10+ years of product management experience, with 5+ years in programmatic advertising, ad tech platforms, or marketing technology
• Deep knowledge of the programmatic ecosystem — DSP/SSP mechanics, auction dynamics, identity resolution, audience segmentation, and supply chain integrity
• Proven ability to define and ship complex, data-intensive platform products at scale
• Experience partnering with AI/ML teams to embed intelligence into product workflows — including defining model requirements, evaluation criteria, and human-in-the-loop designs
• Strong commercial acumen — able to connect product decisions to revenue outcomes and articulate roadmap priorities to enterprise clients and internal executives
• Excellent communication and leadership skills; able to synthesize complexity and drive alignment across engineering, design, data, and GTM organizations
• Experience leading and developing high-performing PM teams

Tech stack

Benefits