Define the long-term vision for Vibe's identity graph — deterministic anchors, probabilistic signals, data partnerships, coverage and accuracy KPIs
Make principled build vs. buy vs. partner decisions across identity resolution, clean rooms, and data collaboration frameworks (UID2, ConnectID, LiveRamp, and beyond)
Set the governance model for how identity data flows across the platform — privacy-compliant (CCPA, SOC2) without sacrificing speed
Drive audience and activation products
Own the product vision for how Vibe's data assets are activated for targeting and measurement
Define first-party data onboarding and matching workflows — so a brand can bring their CRM into Vibe, match it against our household graph, and reach exactly the right people on TV
Build the measurement products that close the loop: Verified Visits, Verified Purchases, and incrementality frameworks that prove causal lift
Run the internal data platform as a product
Partner with Data Platform Engineering to define requirements for ingestion pipelines, feature stores, and BI infrastructure
Give internal consumers — engineering, ML, analytics — clear SLAs, documented APIs, and a roadmap driven by their actual needs
Push toward self-serve: business units should be able to access and act on data without a ticket queue
Drive commercial impact
Translate Nebula's capabilities into narratives that resonate with advertisers and publishers — work directly with Sales and Client Success to make it land
Lead high-stakes partner conversations with data providers, measurement companies, and clean room operators; define the commercial terms
Contribute to Vibe's external positioning on data and identity — thought leadership, industry events, partner communications
Requirements
8+ years in product management, with 4+ years focused on data, identity, or streaming TV / programmatic advertising products.
Hands-on experience owning identity products — device graphs, household graphs, ID resolution pipelines, or clean room integrations — at a company where identity was a core capability.
Technical credibility: you can read a data model, understand a streaming architecture, and have a substantive conversation with engineers about entity resolution tradeoffs.
Deep knowledge of the programmatic advertising stack — DSPs, SSPs, DMPs, ad servers, measurement — and how the pieces connect.
Proven ability to lead cross-functional teams and drive alignment across engineering, data science, and go-to-market.
Experience defining and executing go-to-market strategies for data products, including working with sales teams and building commercial business cases.
Benefits
Variable pay — based on objectives you hit. No arbitrary targets.
Hybrid flexibility — We're in NYC's Flatiron District and our team is in 3x a week.
Full health coverage — Comprehensive medical, dental, and vision insurance.
401(k) with matching — We invest in your future, not just your output.
Unlimited PTO — Take the time you need. We measure results, not hours.
Parental leave — Paid leave for all parents.
Annual offsite — The whole team, once a year, somewhere worth the trip.