We're seeking a Senior Product Manager, Identity to own the intelligence layer that connects digital signals to real-world business outcomes. As a Senior PM, you'll work at the intersection of platform engineering, data science, and customer value creation. You'll drive systematic improvements to visitor-to-person and IP-to-company match rates, integrate new data sources, and ensure identity data flows seamlessly across ZoomInfo's GTM Intelligence Platform.
\nYour work directly impacts how thousands of customers identify, engage, and convert their ideal buyers. You'll partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption.
\nKey responsibilities include:
\nStrategic Leadership: \tOwn product strategy and roadmap for identity resolution, defining vision and success metrics that drive measurable improvements in match rates and customer value \tIdentify and prioritize opportunities to enhance identity resolution through new data sources, improved algorithms, and better data quality \tEvaluate, negotiate, and integrate 3rd party data partnerships that expand identity coverage and accuracy \tDefine and track core metrics including visitor-to-person match rates, IP-to-company accuracy, coverage, latency, and downstream revenue impact \tPartner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption
\nExecution Excellence: \tDeliver measurable improvements to identity resolution performance through rigorous prioritization, rapid experimentation, and iterative execution \tDiagnose and resolve data quality issues that impact match rates, customer trust, and product experience \tBuild scalable monitoring and alerting systems that track identity resolution health and enable proactive issue detection \tCreate frameworks for evaluating new data sources and measuring their incremental impact on resolution performance \tConduct deep discovery using data analysis, customer interviews, and competitive research to uncover opportunities for improvement
\nCross-Functional Partnership: \tPartner with Platform, Application, and Data teams to ensure seamless integration of identity data into customer-facing products \tCollaborate with data science and engineering to solve complex problems in entity resolution, probabilistic matching, and signal enrichment \tWork with analytics teams to instrument metrics, build dashboards, and enable data-driven decision making \tEnable go-to-market teams through training, documentation, and competitive positioning
\nWhat You Bring:
\nRequired Qualifications: \t5+ years of product management experience in data-intensive B2B SaaS environments, with focus on data products, identity systems, or platform-level capabilities \tDeep understanding of identity resolution, entity matching, IP-to-company mapping, visitor identification, and the evolving privacy landscape \tTechnical fluency with SQL, Snowflake, and BI tools (Tableau, Looker) - ability to independently analyze data, diagnose issues, and make data-driven decisions \tProven track record identifying, diagnosing, and resolving data quality issues at scale with understanding of coverage, accuracy, and freshness trade-offs \tCross-functional leadership - demonstrated ability to influence and align engineering, product, data science, and go-to-market teams without formal authority \tCustomer-centric mindset with experience optimizing adoption funnels and driving engagement for technical products \tExcellent communication skills - ability to translate complex technical concepts into clear, value-based narratives for executives and customers \tBias for action - track record of moving quickly from insight to execution with iterative, test-and-learn approach \tB2B SaaS experience with enterprise data products, platform products, or GTM tools
\nPreferred Qualifications: \tExperience with AdTech, MarTech, or Real-Time Bidding (RTB) ecosystems \tBackground in data science, engineering, or analytics prior to product management \tFamiliarity with 3rd party data sourcing, evaluation, and integration \tExperience with probabilistic matching, entity resolution, or graph-based identity systems \tKnowledge of data privacy regulations and their product implications \tExperience in sales intelligence, marketing technology, or revenue operations domains
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\nLocation
\nSan Francisco; Seattle
\nEmployment Type
\nFull time
\nDepartment
\nApplied AI
\nCompensation
\nThe base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
\nMore details about our benefits are available to candidates during the hiring process.
\nThis role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.
\nWe’re looking for a Software Engineer to architect and build backend systems that enforce data privacy and automate compliance at scale. You’ll work closely with product, infrastructure, security, and legal teams to embed privacy-by-design into our data and access layers.
\nThis is a hands-on, high-impact role for an experienced engineer who is passionate about protecting user data while enabling innovation.
\nWhat You’ll Do
\nYou Might Thrive in This Role If You Have
\nNice to Have
\nAbout OpenAI
\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
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