Senior Product Manager, AI Security

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world's largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner's Emerging Tech Impact Radar : AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (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.

Senior Product Manager, AI Security

Position Summary

HackerOne is seeking an exceptional Product Manager to spearhead the development of our cutting-edge AI Security product portfolio. As the owner of AI Security products, you will play a pivotal role in shaping the future of how organizations secure their artificial intelligence and machine learning systems. You will be at the forefront of defining and delivering innovative solutions that address emerging AI-specific threats.

This is a strategic role that requires a deep understanding of both AI technologies and cybersecurity principles. You will be responsible for the entire product lifecycle, from ideation and strategy to execution and go-to-market, ensuring our AI security offerings are a market-leading force.

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 and we are open to hiring anywhere in the US, with 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

Drive strategy and execution for our AI Red Teaming offerings.

Develop and maintain a multi-year product roadmap that aligns with the company's overall objectives and the evolving AI threat landscape.

Lead the end-to-end product development lifecycle for AI security solutions.

Gather and synthesize inputs from internal stakeholders, our security researcher community, customers, and partners.

Translate complex customer AI security, as well as safety and trust, challenges into clear, concise and actionable product requirements and user stories in collaboration with Design, Engineering and Customer Operations.

Collaborate with Product Marketing to launch and drive adoption of new AI security products and features. Act as a subject matter expert and evangelist for HackerOne's AI security solutions, presenting to customers, prospects, at industry events, and to internal teams.

Maintain a deep understanding of the latest advancements in AI (across generative AI & machine learning), AI security research, security for AI systems, and competitive offerings to identify new opportunities and ensure HackerOne remains an innovator in this space.

Minimum Qualifications

5+ years of Product Management experience in tech / SaaS businesses.

Demonstrated ability to shape and drive AI adoption and strategy across domains by re‑architecting security products, processes, and platforms around AI‑embedding AI into how solutions are designed, built, and operated to deliver transformative protection against emerging AI threats.

A proven track record of successfully launching and scaling technical 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 with direct product management experience in related cybersecurity fields, such as vulnerability management, penetration testing, application security, and related fields.

Strategic thinker who can translate market trends, customer needs, and technical innovations into a clear product vision and actionable roadmap

Deep empathy for customers / users in gathering and synthesizing input and a passion for solving their most pressing security challenges.

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.

Experience using data and metrics to inform product decisions and measure success.

Experience leading product development in cloud services.

Passion for cybersecurity in helping with HackerOne's mission of empowering the world to build a safer internet

Preferred Qualifications

Bachelor's degree in Computer Science, Engineering, or related field.

MBA degree

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.

Strong understanding of AI concepts, common vulnerabilities in AI systems, and the evolving AI threat landscape, including familiarity with AI security frameworks, tools and best practices.

Compensation Bands

Compensation Bands : San Francisco

$202K - $247K

• Offers Equity

Seattle, Austin, DC, Boston

$182K - $222K

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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

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 : $182K - $247K

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