{"id":1485884,"url":"https://alion.io/job/intentsify-technical-product-manager-signal-graph","title":"Technical Product Manager – Signal Graph","company":{"id":1882780,"name":"Intentsify","domain":"intentsify.io","url":"https://alion.io/company/intentsify","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Paylocity","truth_index":null},"role":"Product","role_family":"Product","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":133000,"max_usd":243000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2544},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false}],"status":"live","first_seen_at":"2026-09-29T19:21:09Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-22T08:11:49Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"Description\nThe 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.\nThis 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.\nThe 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.\nKey Responsibilities\nSignal Graph Strategy & Roadmap\nOwn the product strategy and roadmap for Intentsify’s B2B Signal Graph.\nDefine the signals, entities, relationships, metadata, and intelligence required to support current and emerging B2B Sales and Marketing use cases.\nContinuously evaluate the breadth, depth, quality, freshness, and differentiation of the Signal Graph.\nIdentify gaps and opportunities across intent, engagement, behavioral, advertising, web, content, and other relevant B2B buying signals.\nDefine requirements for how signals are collected, processed, classified, enriched, normalized, connected, and made available for downstream use.\nPartner with Engineering and Data Science to prioritize and deliver Signal Graph capabilities.\nData Sources & Market Intelligence\nMaintain a deep understanding of the B2B data and signal ecosystem, including existing and emerging sources of buyer and account intelligence.\nContinuously evaluate new data sources, partnerships, and collection methodologies that can expand or differentiate Intentsify’s Signal Graph.\nUnderstand competitive offerings and market trends across intent data, buyer intelligence, GTM data, and signal-based applications.\nDevelop frameworks for evaluating potential data sources based on coverage, quality, uniqueness, freshness, scalability, compliance, and commercial value.\nWork closely with Data Acquisition and other internal teams to translate product requirements into data sourcing priorities.\nAI, ML & Signal Intelligence\nPartner with Data Science and Engineering to apply AI, machine learning, NLP, and other analytical techniques to generate and improve B2B buying signals.\nDefine product requirements for signal classification, topic identification, signal aggregation, pattern detection, normalization, and other intelligence capabilities.\nExplore opportunities to use AI to identify new signals, relationships, and patterns that cannot be derived through traditional rules-based approaches.\nEstablish methods for continuously measuring and improving signal accuracy, relevance, freshness, and predictive value.\nEnsure Signal Graph capabilities evolve alongside advances in AI, machine learning, data processing, and knowledge graph technologies.\nGTM Applications & Data Products\nUnderstand how B2B signals are consumed across Sales, Marketing, ABM, advertising, demand generation, and AI-enabled GTM workflows.\nTranslate GTM use cases into Signal Graph requirements without creating use-case-specific or customer-specific data architectures.\nPartner with other Product teams to ensure Signal Graph capabilities can effectively power Intentsify products, APIs, integrations, applications, and AI agents.\nDefine scalable methods for exposing signals and intelligence to downstream products and workflows.\nProduct Management & Execution\nOwn the product lifecycle for Signal Graph capabilities from discovery and requirements through development, release, measurement, and continuous improvement.\nDevelop product requirements, data specifications, user stories, acceptance criteria, and product documentation.\nMaintain and prioritize the product backlog in partnership with Engineering and Data Science.\nDefine and monitor KPIs for signal coverage, quality, accuracy, freshness, usage, and business impact.\nCollaborate across Data Acquisition, Data Science, Engineering, Product, and GTM teams to execute the Signal Graph roadmap\nRequirements\n5+ years of professional experience in Product Management, Data Product Management, Technical Product Management, Data Science, Data Engineering, or a related data-focused role.\nStrong experience working with B2B data products and large-scale datasets.\nExperience with intent data, behavioral data, engagement signals, buyer intelligence, or other B2B buying signals.\nStrong understanding of how data and signals are used across modern B2B Sales and Marketing workflows.\nWorking knowledge of data pipelines, data models, entity resolution, graph technologies, data enrichment, and large-scale data processing.\nFamiliarity with AI, machine learning, NLP, LLMs, and other techniques used to classify, enrich, analyze, and derive intelligence from data.\nAbility to work closely with Data Science and Engineering teams and translate product objectives into detailed data and technical requirements.\nExperience evaluating data sources based on coverage, accuracy, freshness, uniqueness, scalability, and commercial value.\nPrior experience within B2B data, intent data, advertising, demand generation, MarTech, SalesTech, or related industries strongly preferred.\nStrong analytical, problem-solving, product strategy, prioritization, and communication skills.\nPassion for building differentiated data products and using data and AI to transform how B2B Sales and Marketing teams identify and engage buyers.","description_format":"text","description_chars":5671,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":5,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business Development","Event 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