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Open nowPosted 19 days ago

Principal Product Manager

Workable (global search)108,016 open roles

Where
United States
Work mode
Remote
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Your applicationOpen nowPrincipal Product ManagerWorkable (global search) · United States

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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 19 days ago

Workable (global search) median: 7 days open

The posting

DomainTools is looking for a Principal Product Manager to join its Product team. Data is the backbone of our products, and this role will be responsible for growing and refining the data products that drive our threat intelligence solutions, with API-first delivery and integration into UI, AI and third-party experiences and workflows. This is a strategic role for the company that has a high impact on the company’s success, and has a great deal of visibility both 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, with insights derived from direct customer interaction and big-data analysis. If you want to make a big impact in an established, growth-stage company, and if you love data product management, DomainTools is the place to be!

The product manager is expected to contribute to her/his team a solid knowledge of the various constraints of the business, and a prioritized assessment of the opportunities that the business can capitalize on. The product manager must also contribute to the product team a deep knowledge of our users and customers, and an understanding of the platforms that our customers use to engage with our products. Finally the product manager is expected to track industry trends and the competitive landscape as they pertain to their products.

While each member of the product team may be accountable for a specific area, we look for product managers that understand that consistent innovation is the result of each member of the product team contributing their passion and their ideas. The product manager must collaborate closely with engineering, marketing, sales and solutions engineering teams to deliver world-class solutions to market.

This job, as with the other roles on the product team, is an individual contributor role. You will need to be able to influence your teammates, colleagues, stakeholders, and key executives, through your use of data and logic.

Requirements

Basic Qualifications:

  • 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 Qualifications:

  • Experience in cybersecurity investigations, threat defense, incident response, or related activities
  • Solid understanding of the cybersecurity market and modern security architectures
  • Familiarity with specific data domains used in cybersecurity, 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 that leverage predictive analytics / machine learning (ML)
  • Experience with distributed systems and cloud computing
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