Principal Product Manager

DomainTools is looking for a Principal Product Manager to join its Product team. This role is responsible for growing and refining data products that drive threat intelligence solutions, with API-first delivery and integration into UI, AI, and third-party experiences and workflows. It is a strategic role with high impact and visibility inside and outside the company. The ideal candidate is a strong leader and successful product manager with a track record of delivering market-leading data products, based on insights from direct customer interaction and big-data analysis. The product manager is expected to contribute solid knowledge of business constraints and prioritize opportunities, deep knowledge of users and customers, and understanding of platforms customers use to engage with products. They must track industry trends and competitive landscape relevant to their products. The product manager collaborates closely with engineering, marketing, sales, and solutions engineering teams to deliver world-class solutions. This is an individual contributor role requiring influence through data and logic. Basic Qualifications: — Minimum 7 years in cybersecurity or data-related product management, delivering data-driven analytics and products — Deep knowledge of business and customers, understanding data product usage and value — Experience with threat intelligence products, threat feeds, APIs, and related technologies — Experience interacting with customers using data warehousing, data science, and Big Data technologies — Experience integrating data products into third-party environments (customer and partner ecosystems) — Experience working with Agile (kanban/scrum) development teams and processes — Excellent people skills working cross-functionally from ideation to market — Excellent writing, communication, and presentation skills — US-based with willingness to accommodate core hours overlapping 9am-3pm US Pacific time Preferred Qualifications: — Experience in cybersecurity investigations, threat defense, incident response, or related activities — Solid understanding of cybersecurity market and modern security architectures — Familiarity with cybersecurity data domains including DNS, IP, TLS/SSL certificates, web crawl, BGP, NetFlow data — Experience with real-time data collection, processing, and delivery — Experience with large language models (LLMs) and agentic workflows — Experience with data products leveraging predictive analytics / machine learning (ML) — Experience with distributed systems and cloud computing