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Staff Product Manager, Data

Staff Product Manager, Data

hackeroneAustin, TX, United States
20 hours ago
Job type
  • Full-time
Job description

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.

Staff Product Manager, Data

Remote Location : Seattle, WA; San Francisco Bay Area; Boston, MA; Austin, TX; or Washington, DC

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 Recommendations.

Develop and apply expertise in security analytics and vulnerability management to create product experiences that customers and hackers love, including through the application of AI across LLM and ML.

Evangelize the value of HackerOne's data-powered security insights internally and externally as a subject matter expert via customer and prospect calls, product demos, webinars, roadmap briefings, and industry events.

Stay at the forefront of industry trends, the application of AI capabilities, and competitive developments to identify opportunities for disruptive innovation and positioning HackerOne as a market leader.

Minimum Qualifications

8+ years of experience in Product Management in high-growth tech / SaaS companies.

Demonstrated ability to shape and drive domain-wide AI adoption and strategy by re-architecting systems and processes around AI-embedding it into how products are designed, built, and operated to deliver differentiated customer value.

Proven track record of successfully developing products / platforms in high-growth businesses involving in-depth cross-functional collaboration and leadership across R&D and go-to-market functions.

Deep understanding of cybersecurity technologies and market trends.

Outstanding communication and leadership skills with a collaborative and team-oriented approach to identifying problems, determining potential solutions, and building consensus around your vision with internal and external stakeholders.

Preferred Qualifications

Bachelor's degree in an application development-related field, such as Computer Science, Computer Engineering, etc. or a data science-related field, such as Math, Physics, etc.

MBA or data science-related Masters degree

Direct product management experience in related cybersecurity fields, such as vulnerability management, penetration testing and application security.

Domain experience with security research / hacking as part of red teaming, penetration testing and / or bug bounty programs, including methods, tools, and types of testing.

Experience developing and bringing to market products and features delivering value from data, particularly underpinned by AI (LLM and / or ML).

Experience leading product development in cloud services and / or managed services businesses.

Experience leading product development for multi-product platformization value.

Compensation Bands : San Francisco

$212K - $265K

  • Offers Equity

Seattle, Austin, DC, Boston

$190K - $238K

  • Offers Equity
  • #LI-Remote

    #LI-HM1

    Job Benefits :

    Health (medical, vision, dental), life, and disability insurance

    Equity stock options

    Retirement plans

    Paid public holidays and unlimited PTO

    Paid maternity and parental leave

    Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)

    Employee Assistance Program

    Flexible Work Stipend

  • Eligibility may differ by country
  • We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).

    Visa / work permit sponsorship is not available.

    Employment at HackerOne is contingent on a background check.

    HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.

    This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.

    For US based roles only : Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

    Compensation Range : $190K - $265K

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