Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Own the person-data product portfolio, including accuracy, coverage, freshness, compliance, entity resolution, and privacy. Build the AI evaluation system for agent-generated records using golden sets, thresholds, human adjudication, precision, recall, and drift monitoring. Lead the transition from deterministic rules to agent-based processing, collaborate with engineering and data science, prototype in code, and drive cross-functional roadmap execution.

Build and optimize high-throughput Java backend systems processing hundreds of millions of contact profiles. Design scalable solutions for entity resolution, data quality, attribute selection, and contact publication. Develop testing frameworks and rules for fragmented data, collaborate with data scientists and engineering teams, and contribute to architecture, performance, scalability, and technical strategy across the Person Data platform.

Lead senior engineering teams responsible for ZoomInfo’s operational and analytical data platforms. Set strategy, architecture, and roadmaps for Bigtable, BigQuery, ingestion pipelines, CDC systems, reliability, scalability, observability, and compliant customer data deletion. Manage technical leaders, develop engineering talent, prioritize competing initiatives, and partner with executives, product, legal, compliance, security, and downstream engineering teams to accelerate data onboarding and maintain platform integrity.

Leads strategy and end-to-end execution for major trade shows, conferences, brand events, and corporate activations. Manages event objectives, booth design, messaging, vendors, budgets, assets, swag inventory, and cross-functional coordination. Partners with field marketing, sales, demand generation, creative teams, and agencies. Measures attendance, lead quality, pipeline contribution, and ROMI to optimize future programs.

Own ZoomInfo’s growth product portfolio from acquisition through activation, monetization, expansion, and sales-assist routing. Define multi-quarter PLG strategy, run high-volume experimentation, analyze funnels and cohorts using SQL and Snowflake, design self-serve experiences and consumption-based pricing, and present growth economics to executives. Partner across engineering, design, marketing, sales, and customer success while hiring and coaching growth PMs and establishing experimentation standards.

Own ZoomInfo’s global data partnership and supply strategy, including build-buy-partner-acquire decisions, strategic data agreements, co-sell motions, acquisition theses, supplier portfolio economics, and data-quality evaluations. Lead executive partner relationships and cross-functional deal execution across sales, product, legal, privacy, security, procurement, and corporate development while ensuring compliance with global privacy regulations.

Lead product for GTM Studio features across audience building, AI enrichment, and AI orchestration. Partner with engineering, data, AI platform, design, and customers to build integrations, ensure data quality and freshness, and deliver go-to-market orchestration tools for revenue operators.

Own strategy and roadmap for identity resolution engines that match visitors to people and companies. Drive data source integrations, improve match accuracy, resolve data quality issues, build monitoring, collaborate with engineering and data science, and enable GTM teams while ensuring privacy compliance (GDPR/CCPA). Measure impact via match rates, coverage, latency, and downstream revenue.

Embed with strategic enterprise accounts to design and deliver bespoke intelligence applications combining ZoomInfo and customer data. Own engagements end-to-end: discovery, solution design, data foundation and management, entity resolution, TAM/white-space analysis, fit scoring, deployment, and governance. Bridge technical and business audiences, contribute to the FDE playbook, and drive expansion and product feedback.

Design, implement, and operate scalable, fault-tolerant web crawling and extraction pipelines processing massive web data. Write production Java/Python code, build ETL/ELT pipelines (BigQuery/Snowflake), use Kafka, Kubernetes (GKE/EKS), Terraform, and Airflow, and improve observability, reliability, and collaboration with product and data science teams.