The Technical Product Manager – Signal Graph will own the product strategy, roadmap, and execution for Intentsify’s B2B Signal Graph. This role is responsible for building and continuously evolving a comprehensive graph of intent, engagement, behavioral, and other buying signals that can be used to identify, understand, and activate B2B buying audiences.

This is a highly data-centric product role requiring a strong understanding of B2B data, intent and buying signals, data products, and the application of AI, machine learning, and NLP to generate actionable intelligence from large and diverse datasets.

The goal of this role is to help Intentsify build & maintain the best B2B Signal 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 B2B Signal Graph.
• Define      the signals, entities, relationships, metadata, and intelligence required      to support current and emerging B2B Sales and Marketing use cases.
• Continuously      evaluate the breadth, depth, quality, freshness, and differentiation of      the Signal Graph.
• Identify      gaps and opportunities across intent, engagement, behavioral, advertising,      web, content, and other relevant B2B buying signals.
• Define      requirements for how signals are collected, processed, classified,      enriched, normalized, connected, and made available for downstream use.
• Partner      with Engineering and Data Science to prioritize and deliver Signal Graph      capabilities.

Data Sources & Market Intelligence

• Maintain      a deep understanding of the B2B data and signal ecosystem, including      existing and emerging sources of buyer and account intelligence.
• Continuously      evaluate new data sources, partnerships, and collection methodologies that      can expand or differentiate Intentsify’s Signal Graph.
• Understand      competitive offerings and market trends across intent data, buyer      intelligence, GTM data, and signal-based applications.
• 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 B2B buying signals.
• Define      product requirements for signal classification, topic identification,      signal aggregation, pattern detection, normalization, and other      intelligence capabilities.
• Explore      opportunities to use AI to identify new signals, relationships, and      patterns that cannot be derived through traditional rules-based      approaches.
• Establish      methods for continuously measuring and improving signal accuracy,      relevance, freshness, and predictive value.
• Ensure      Signal Graph capabilities evolve alongside advances in AI, machine      learning, data processing, and knowledge graph technologies.

GTM Applications & Data Products

• Understand      how B2B signals are consumed across Sales, Marketing, ABM, advertising,      demand generation, and AI-enabled GTM workflows.
• Translate      GTM use cases into Signal Graph requirements without creating      use-case-specific or customer-specific data architectures.
• Partner      with other Product teams to ensure Signal 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 Signal 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 Signal 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 B2B data products and large-scale datasets.
• Experience      with intent data, behavioral data, engagement signals, buyer intelligence,      or other B2B buying signals.
• Strong      understanding of how data and signals are used across modern B2B Sales and      Marketing workflows.
• Working      knowledge of data pipelines, data models, entity resolution, graph      technologies, data enrichment, and large-scale data processing.
• Familiarity      with AI, machine learning, NLP, 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 B2B data, intent 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 B2B Sales and Marketing teams identify and engage buyers.