We're Hiring Product Lead - Audience Intelligence

About Addressable

Addressable's Audience Intelligence platform matches hundreds of millions of people to their crypto wallets. We turn billions of on-chain transactions and Web2 telemetry into high-fidelity behavioral profiles, enabling our customers to identify and understand specific user segments. Leading companies across digital asset exchanges, trading platforms, iGaming, and global fintechs use our intelligence to drive mission-critical segmentation and GTM decisions.

The Role

We are hiring a Lead Product Manager to own the Audience Intelligence platform.

This is a role for a data specialist who reasons about data processes: collection, verification, and lineage - with the same precision as a feature spec.

Data depth is the leading requirement; you will define the logic and quality bar that turn raw signals into the production-grade user attributes our customers ship into production.

Key Responsibilities

Product Ownership: Own the vision, roadmap, and execution for the Audience Intelligence engine.
Attribute Engineering: Lead the transition of behavioral, identity, and network signals from raw data to shipped products.
Data Strategy: Define the source mix across 30+ chains, wallet labels, Web2 telemetry, and partner feeds.
Source Strategy: Lead "build vs. buy vs. integrate" decisions for in-house sources, paid vendors, and public feeds.
Coverage & Prioritization: Set the policy for which data endpoints are scanned, enriched, and re-tagged first.
Production QA: Establish and monitor the bar for precision, recall, freshness, and coverage.

Requirements

Technical DNA: Background in data engineering, ML, or data science.
Process Mastery: Ability to describe an end-to-end data process: collection, joining, deduplication, and productization.
Data Depth: Fluent in data lineage, drift, sampling bias, and precision/recall.
Tooling: Strong SQL skills and hands-on experience with modern data infrastructure.
Experience: 5+ years of relevant experience on data-heavy, analytics, audience, or platform products, with at least 2 in a product management role. Engineering- or data-first paths into PM are equally welcome (e.g., 5 years engineering + 2 years PM).
Source Expertise: Hands-on experience with Web2 telemetry (pixels, scraping) and Web3 on-chain data (address-level analytics).
Execution: A proven track record of shipping data products that customers paid for.
Communication: Fluent in English and Hebrew.

Preferred Qualifications

Domain Context: Background in fintech, digital asset exchanges, iGaming, or AdTech.
Product Focus: Prior experience with identity resolution, classification, or segmentation products.
Crypto Depth: Strong knowledge of the crypto ecosystem and on-chain activity.

Environment: Experience in B2B, Enterprise SaaS, and high-growth startups.