Technical Product Manager – Signal Graph

Description

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

Requirements

• 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.