
Principal Product Manager
Posted Sep 16

Posted Sep 16
This is a fully remote position, open to applicants in United States.
• Expand and enhance the data products that underpin DomainTools' threat intelligence offerings.
• Implement products with an API-first approach and seamlessly integrate them into user interfaces, AI systems, and third-party workflows.
• Leverage business insights to prioritize opportunities effectively.
• Acquire in-depth knowledge of users and customers, understanding the platforms they utilize to interact with the products.
• Monitor industry developments and the competitive environment.
• Work collaboratively with engineering, marketing, sales, and solutions engineering teams to bring solutions to market.
• Persuade teammates, colleagues, stakeholders, and key executives using data and logical reasoning.
• Operate as an individual contributor within the product team.
• At least 7 years of experience in cybersecurity or data-centric product management, focusing on delivering data-driven analytics and products.
• Profound understanding of the business and its customers, with insights into how users engage with data products and how they are valued by buyers.
• Familiarity with threat intelligence products, threat feeds, APIs, and associated technologies.
• Experience engaging with customers utilizing data warehousing, data science, and Big Data technologies.
• Proven track record of integrating data products within third-party ecosystems, including customer and partner environments.
• Experience with Agile (kanban/scrum) development methodologies and teams.
• Strong interpersonal skills, collaborating with cross-functional teams to transition solutions from ideation to market launch.
• Exceptional writing, communication, and presentation abilities.
• Must be US-based, with a willingness to accommodate core hours overlapping at least 9am-3pm US Pacific time.
• Preferred: Background in cybersecurity investigations, threat defense, incident response, or related fields.
• Preferred: Comprehensive understanding of the cybersecurity landscape and contemporary security architectures.
• Preferred: Knowledge of DNS, IP, TLS/SSL certificates, web crawling, BGP, and NetFlow data.
• Preferred: Experience with real-time data collection, processing, and delivery.
• Preferred: Familiarity with large language models (LLMs) and agentic workflows.
• Preferred: Exposure to predictive analytics and machine learning (ML) data products.
• Preferred: Experience with distributed systems and cloud computing.
• Comprehensive health, dental, and vision insurance.
• Flexible work hours and remote work opportunities.
• Professional development and training programs.
• Collaborative and innovative work environment.
• Competitive salary and performance-based bonuses.
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