Note: The job is a remote job and is open to candidates in USA. Intentsify is hiring a Technical Product Manager to own the strategy, roadmap, and execution of its Identity Graph. The role focuses on improving identity data quality and entity resolution, applying AI and machine learning, and enabling downstream Sales, Marketing, and advertising products and workflows.
Responsibilities
- 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
- 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
- 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
- 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
- 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
Skills
- 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
- 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
- Prior experience within contact data, firmographic data, advertising, demand generation, MarTech, SalesTech, or related industries strongly preferred
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