
51 - 200 employees
Founded 2000
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
DomainTools is a leading provider of domain name and DNS-based cyber threat intelligence solutions. It offers a range of products including the Iris Intelligence Platform for mapping connected infrastructure to get ahead of threats, Iris Detect for monitoring lookalike domains, and Iris Enrich for integrating DomainTools data with SIEM, SOAR, and other tools. DomainTools' Farsight DNSDB is the world's largest passive DNS intelligence solution, providing historical and real-time DNS data. The company is focused on transforming threat data into actionable intelligence to prevent, mitigate, and investigate online attacks. It serves a diverse set of industries, including federal government, financial services, healthcare, technology, and retail, and is a trusted partner for enterprise-level security operations centers (SOCs).
🕒 September 16
Where this job comes from
Posted on DomainTools's careers page, not through a job board
First seen by Remote Rocketship September 16
Still open on DomainTools's site. Checked 3 days ago.

51 - 200 employees
Founded 2000
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
DomainTools is a leading provider of domain name and DNS-based cyber threat intelligence solutions. It offers a range of products including the Iris Intelligence Platform for mapping connected infrastructure to get ahead of threats, Iris Detect for monitoring lookalike domains, and Iris Enrich for integrating DomainTools data with SIEM, SOAR, and other tools. DomainTools' Farsight DNSDB is the world's largest passive DNS intelligence solution, providing historical and real-time DNS data. The company is focused on transforming threat data into actionable intelligence to prevent, mitigate, and investigate online attacks. It serves a diverse set of industries, including federal government, financial services, healthcare, technology, and retail, and is a trusted partner for enterprise-level security operations centers (SOCs).
• Grow and refine the data products that drive DomainTools' threat intelligence solutions • Deliver products API-first and integrate them into UI, AI, and third-party experiences and workflows • Contribute knowledge of business constraints and prioritize opportunities • Develop deep knowledge of users and customers and understand the platforms they use to engage with products • Track industry trends and the competitive landscape • Collaborate closely with engineering, marketing, sales, and solutions engineering teams to deliver solutions to market • Influence teammates, colleagues, stakeholders, and key executives through data and logic • Work as an individual contributor on the product team
• Minimum 7 years in cybersecurity or data-related product management, delivering data-driven analytics and products • Deep knowledge of their business and its customers, understanding how data products are utilized by its users, and valued by buyers • Experience working with threat intelligence products, threat feeds, APIs, and related technologies • Experience interacting with customers who leverage data warehousing, data science, and Big Data technologies • Experience with integration of data products into third-party environments (both customer and partner ecosystems) • Experience working with Agile (kanban/scrum) development teams and processes • Excellent people skills, working with cross-functional teams across the organization to bring a solution from ideation to market • Excellent writing, communication, and presentation skills • US-based, with a willingness to accommodate core hours that overlap at least 9am-3pm US Pacific time • Preferred: Experience in cybersecurity investigations, threat defense, incident response, or related activities • Preferred: Solid understanding of the cybersecurity market and modern security architectures • Preferred: Familiarity with DNS, IP, TLS/SSL certificates, web crawl, BGP, and NetFlow data • Preferred: Experience with real-time data collection, processing and delivery • Preferred: Experience with large language models (LLMs) and agentic workflows • Preferred: Experience with predictive analytics / machine learning (ML) data products • Preferred: Experience with distributed systems and cloud computing
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