Technical Product Manager – Identity Graph

The Technical Product Manager – Identity Graph will own the product strategy, roadmap, and execution for Intentsify’s Identity Graph. This role is responsible for building and continuously evolving a comprehensive graph of contacts, devices, and firmographics to create an accurate and high quality entity resolution graph from all of Intentsify’s data supply chain.

This is a highly data-centric product role requiring a strong understanding of contact data, device data, firmographics, data products, and the application of AI, machine learning, and entity resolution to create a broad, accurately linked identity graph.

The goal of this role is to help Intentsify build & maintain the best Identity Graph in the world, providing the intelligence needed to power modern Sales and Marketing workflows, applications, and AI agents.

Key Responsibilities

Signal Graph Strategy & Roadmap

• Own the product strategy and roadmap for Intentsify’s Identity Graph.
• Define the signals, entities, relationships, metadata, and intelligence required to support current and emerging Sales, Mar-Tech, and Ad-Tech use cases.
• Continuously evaluate the breadth, depth, quality, freshness, and differentiation of the Identity Graph.
• Identify gaps and opportunities across the entire data supply chain to improve and refine entity resolution
• Define requirements for how entities are collected, processed, enriched, normalized, connected, and made available for downstream use.
• Partner with Engineering and Data Science to prioritize and deliver Identity Graph capabilities.

Data Sources & Market Intelligence

• Maintain a deep understanding of the Sales, Mar-Tech, and Ad-Tech ecosystems.
• Continuously evaluate new data sources, partnerships, and collection methodologies that can expand or differentiate Intentsify’s Identity Graph.
• Understand competitive offerings and market trends across contact, firmographic, and digital data assets.
• Develop frameworks for evaluating potential data sources based on coverage, quality, uniqueness, freshness, scalability, compliance, and commercial value.
• Work closely with Data Acquisition and other internal teams to translate product requirements into data sourcing priorities.

AI, ML & Signal Intelligence

• Partner with Data Science and Engineering to apply AI, machine learning, NLP, and other analytical techniques to generate and improve entity resolution.
• Explore opportunities to use AI to identify new sources, relationships, and patterns that cannot be derived through traditional rules-based approaches.
• Establish methods for continuously measuring and improving identity accuracy, relevance, freshness, and predictive value.
• Ensure Identity Graph capabilities evolve alongside advances in AI, machine learning, data processing, and knowledge graph technologies.

GTM Applications & Data Products

• Understand how identity data is consumed across Sales, Mar-Tech, Ad-Tech, ABM, advertising, demand generation, and AI-enabled GTM workflows.
• Translate GTM use cases into Identity Graph requirements without creating use-case-specific or customer-specific data architectures.
• Partner with other Product teams to ensure Identity Graph capabilities can effectively power Intentsify products, APIs, integrations, applications, and AI agents.
• Define scalable methods for exposing signals and intelligence to downstream products and workflows.

Product Management & Execution

• Own the product lifecycle for Identity Graph capabilities from discovery and requirements through development, release, measurement, and continuous improvement.
• Develop product requirements, data specifications, user stories, acceptance criteria, and product documentation.
• Maintain and prioritize the product backlog in partnership with Engineering and Data Science.
• Define and monitor KPIs for signal coverage, quality, accuracy, freshness, usage, and business impact.
• Collaborate across Data Acquisition, Data Science, Engineering, Product, and GTM teams to execute the Identity Graph roadmap.

• 5+ years of professional experience in Product Management, Data Product Management, Technical Product Management, Data Science, Data Engineering, or a related data-focused role.
• Strong experience working with data products and large-scale datasets.
• Experience with contact, digital, and firmographic datasets.
• Strong understanding of how data and signals are used across modern Sales, Mar-Tech, and Ad-Tech workflows.
• Working knowledge of data pipelines, data models, entity resolution, graph technologies, data enrichment, and large-scale data processing.
• Familiarity with AI, machine learning, LLMs, and other techniques used to classify, enrich, analyze, and derive intelligence from data.
• Ability to work closely with Data Science and Engineering teams and translate product objectives into detailed data and technical requirements.
• Experience evaluating data sources based on coverage, accuracy, freshness, uniqueness, scalability, and commercial value.
• Prior experience within contact data, firmographic data, advertising, demand generation, MarTech, SalesTech, or related industries strongly preferred.
• Strong analytical, problem-solving, product strategy, prioritization, and communication skills.
• Passion for building differentiated data products and using data and AI to transform how Sales and Marketing teams identify and engage buyers.