Senior Product Manager, Data

hackerone; Austin (TX); Remote; USD 162,000 - 225,000; Full time

Job summary

A leading cybersecurity firm is looking for a Senior Product Manager to lead the development of data capabilities. You will shape the vision and strategy, collaborate with teams, and enhance platform data capabilities. The ideal candidate has over 5 years of experience in product management within high-growth tech companies and a strong understanding of AI and cybersecurity technologies. This role offers a competitive salary and benefits.

Benefits

Health insurance

Equity stock options

Flexible Work Stipend

Unlimited PTO

Retirement plans

Qualifications

• 5+ years of experience in Product Management in high-growth tech/SaaS companies.
• Ability to drive AI adoption and strategy.
• Proven track record in developing products with cross-functional leadership.

Responsibilities

• Lead development of data capabilities vision and strategy.
• Collaborate with Product Marketing and other teams.
• Refine existing platform data capabilities.

Skills

Product Management

AI strategy and adoption

Cybersecurity knowledge

Collaboration and communication

Analytics and Reporting

Education

Bachelor's degree in Computer Science or related field

MBA or Master's degree in relevant field

Job description

Senior Product Manager, Data

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

Overview

HackerOne is a global leader in offensive security solutions. Our 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 and have been recognized as a Best Workplace for Innovators and a Most Loved Workplace for Young Professionals.

HackerOne is at a pivotal inflection point in the security industry. Offensive security is the standard for forward-thinking companies seeking trust and resilience with AI-driven innovation. We combine the security research community with a best-in-class AI-powered platform to serve top organizations worldwide.

What You Will Do

• Lead HackerOne development of data capabilities vision, strategy, and roadmap partnering with Design & Engineering to bring unique security insights to customers based on HackerOne\'s vulnerability datasets.
• Lead cross-functional GTM collaboration with Product Marketing, Customer Success, and Customer Operations to discern customer challenges, drive adoption, and communicate thought leadership on data capabilities.
• Refine and mature existing 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 researchers love, including applying 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, roadmaps, and industry events.
• Stay at the forefront of industry trends, AI capabilities, and competitive developments to identify opportunities for disruptive innovation and position HackerOne as a market leader.

Minimum Qualifications

• 5+ years of experience in Product Management in high-growth tech/SaaS companies.
• Ability to shape and drive domain-wide AI adoption and strategy by re-architecting systems and processes around AI to deliver differentiated customer value.
• Proven track record of developing products/platforms in high-growth businesses with cross-functional leadership across R&D and go-to-market functions.
• Deep understanding of cybersecurity technologies and market trends.
• Outstanding communication and collaboration skills with a team-oriented approach to problem solving and building consensus.

Preferred Qualifications

• Bachelor\'s degree in Computer Science, Computer Engineering, or a data science-related field; MBA or data science-related Master\'s degree is a plus.
• Direct product management experience in cybersecurity domains 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 and tools.
• Experience delivering value from data, particularly with AI (LLM/ML) centered products.
• Experience leading product development for cloud services and/or managed services; multi-product platformization experience is a plus.

Compensation Bands: San Francisco: $180K - $225K with Equity; Seattle, Austin, DC, Boston: $162K - $202K with Equity

#LI-Remote • #LI-HM1

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. Hiring decisions are made based 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: $162K - $225K