首席产品经理
Principal Product Manager
DomainTools 正在寻找一位高级产品经理加入其产品团队。数据是我们的产品的核心，该职位将负责增长和优化驱动我们威胁情报解决方案的数据产品，以 API 优先的方式交付，并集成到 UI、AI 和第三方体验及工作流程中。这是公司的一项战略角色，对公司成功有重大影响，并在公司内外都有很高的可见度。理想的候选人是一位强有力的领导者和成功的产品经理，有交付市场领先数据产品的记录，能够从直接的客户互动和大数据分析中获得见解。如果您希望在一家成熟且处于增长阶段的公司中产生重大影响，并且热爱数据产品管理，DomainTools 就是您的理想选择！
产品经理需要为团队提供对业务各种限制的深入了解，并对业务可以抓住的机会进行优先级评估。产品经理还必须为产品团队提供对用户和客户的深入了解，以及对客户用来与我们的产品互动的平台的理解。最后，产品经理需要关注与其产品相关的行业趋势和竞争格局。
虽然产品团队的每位成员可能负责特定领域，但我们寻找的产品经理应理解持续创新是产品团队每个成员贡献热情和想法的结果。产品经理必须与工程、市场、销售和解决方案工程团队紧密合作，向市场交付世界级的解决方案。
此职位与其他产品团队的职位一样，是个人贡献者角色。您需要能够通过使用数据和逻辑来影响您的队友、同事、利益相关者和关键高管。
基本要求：
· 至少 7 年在网络安全或数据相关的产品管理经验，交付数据驱动的分析和产品
· 对其业务及其客户有深入了解，理解数据产品如何被用户使用，并被买家所重视
· 有使用威胁情报产品、威胁源、API 和相关技术的经验
· 有与利用数据仓库、数据科学和大数据的客户互动的经验
查看英文原文
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 companyâs 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.Â
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.
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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