Product Manager, Agentic Vulnerability Elimination
HackerOne
- Location
- Pune
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- Posted
- 2h ago
Skills
About this role
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. Product Manager, Agentic Vulnerability Elimination Location: Pune, India (In-office) Working timing : UK Shift Position Summary HackerOne is seeking a hands-on, technically curious Product Manager to join the team building Agentic Vulnerability Elimination (AVE). AVE is how HackerOne brings AI agents and human expertise together to validate, prioritize, and remediate vulnerabilities at scale. The agents do the heavy lifting on every finding, while our triage analysts and security researchers keep them accurate and trustworthy. In this role, you will drive improvements to the quality and performance of these agents and the harness they run in, working closely with our Pune triage and offensive security teams and partnering closely with product development teams based in India, the Netherlands, and the U.K. This is an ideal role for someone who is energized by AI, comfortable getting into the details of how an agent actually behaves, and motivated by close collaboration with the operators, security researchers, and customers who use and pressure-test our products every day. This hybrid role is located in Pune, India, and reports to the Principal Product Manager for Agentic Vulnerability Elimination.
Primary Responsibilities
Success in the Product Manager role will be accomplished by delivering on the responsibilities below in alignment with the Values and Principles that define how we work at HackerOne: Lead the definition and delivery of improvements to AI agent quality, performance, and cost management across validation, prioritization, exploitation, deduplication, and remediation, balancing model capabilities, operational workflows, customer outcomes, and engineering tradeoffs. Own the evolution of the evaluation framework and agent harness, establishing scalable evaluation methodologies, quality gates, and feedback loops that improve agentic capabilities over time. Partner with triage, engineering, offensive security researchers, and product teams to align priorities, influence product direction, and translate operational workflows into scalable, AI-driven product capabilities. Work closely with our