Director of Product, Data & Identity

Role Overview

• Own the Nebula product strategy
• 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.