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Senior Product Manager, Data
Senior Product Manager, DataSeattle Staffing • Seattle, WA, US
Senior Product Manager, Data

Senior Product Manager, Data

Seattle Staffing • Seattle, WA, US
[job_card.30_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Senior Product Manager

HackerOne is a global leader in offensive security solutions. Our HackerOne Platform combines AI with the ingenuity of the largest community of security researchers to find and fix security, privacy, and AI vulnerabilities across the software development lifecycle. The platform offers bug bounty, vulnerability disclosure, pentesting, AI red teaming, and code security. We are trusted by industry leaders like Amazon, Anthropic, Crypto.com, General Motors, GitHub, Goldman Sachs, Uber, and the U.S. Department of Defense. HackerOne was named a Best Workplace for Innovators by Fast Company in 2023 and a Most Loved Workplace for Young Professionals in 2024. HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional - it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart : we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world's top organizations.

HackerOne Values HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.

Position Summary

HackerOne is seeking a hands-on, mission-driven Product Manager to lead the development of our platform capabilities delivering customer value from aggregated data. With the leading platform of customer security programs and vulnerabilities discovered, HackerOne is uniquely advantaged to provide unparalleled security insights to its customers. This is an opportunity to develop capabilities for customers that provide an unmatched level of intelligence by deriving insights from vast amounts of security data. This is a strategic role that requires a deep understanding of applying normalization, data modeling, and artificial intelligence in cybersecurity. As the owner of HackerOne platform data capabilities, you will be responsible for the entire capability lifecycle, from ideation and strategy to execution and go-to-market, ensuring HackerOne delivers on this opportunity to provide highly differentiated customer value as the market leader.

At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within ~50 miles of Seattle, WA; San Francisco Bay Area; Boston, MA; Austin, TX; or Washington, DC. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together - fostering collaboration, connection, and in-person moments that enrich our culture - while still preserving the benefits of remote work.

What You Will Do

Lead HackerOne development of data capabilities vision, strategy, and roadmap partnering with Design & Engineering in applying strategic perspective across all cross-functional facets of the business necessary to bring unique security insights to customers based on HackerOne's vast vulnerability datasets. Lead cross-functional GTM collaboration with customers across Product Marketing, Customer Success, and Customer Operations to discern customer challenges, drive adoption, and communicate thought leadership on data capabilities. Refine and mature existing HackerOne platform data capabilities, such as Analytics and Reporting, Benchmarks, and R

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Product Manager Data • Seattle, WA, US

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