Product Manager

HackerOne; Maharashtra; On-site; INR 300,000 - 540,000; Full time

Benefits offered by this job

Health insurance

Equity options

Retirement plans

Unlimited PTO

Job summary

HackerOne, a global leader in CTEM, seeks a hands-on Product Manager to advance Agentic Vulnerability Elimination (AVE). You will drive AI agent quality, work with triage and security researchers, and collaborate with teams in India, the Netherlands, and the U.K.

This hybrid role is based in Pune, India, on-site, reporting to the Principal Product Manager for AVE. You thrive on AI details, define metrics, and translate operational workflows into scalable, AI-driven product capabilities,

Qualifications

• 5+ years of product management experience in technical or AI/LLM products.

Responsibilities

• Lead AI agent quality, performance, and cost management across validation and remediation.
• Own evaluation framework and agent harness with scalable methodologies.
• Collaborate with triage, engineering, and security researchers to align priorities and translate workflows into AI-driven capabilities.
• Work with offensive security researchers to validate exploitability and test agent decisions.

Skills

Product management

Cross-functional collaboration

LLM/AI experience

Data-driven

Communication

Distributed teams

Education

Bachelor's degree

Tools

SQL

Job description

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 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 offensive security researchers to validate exploitability, adversarially stress‑test agent decisions, and improve how the agents reason about real‑world attack scenarios.
• Partner with customer‑facing teams in EMEA and the US to join customer calls and understand user workflows, gather feedback, and keep agent improvements grounded in real‑world needs.
• Define the product health metrics for your area, design experimentation frameworks, and use evidence to make prioritization decisions that improve customer and business outcomes.
• Own significant product initiatives, independently defining problem statements, success metrics, and execution plans while influencing the broader product strategy alongside senior product leadership and partnering closely with development teams based in India, the Netherlands, and the U.K.
• Navigate ambiguous product problems where customer needs, AI capabilities, and security workflows are still emerging, bringing structure, prioritization, and clear execution plans to cross‑functional teams.

Minimum Qualifications

• 5+ years of product management experience, ideally on technical or AI/LLM products at high‑growth tech or SaaS companies.
• A track record of building products with close cross‑functional collaboration across engineering, design, and operations.
• Hands‑on experience with LLM‑based solutions, including prompting, evaluations, quality control, and the practical realities of building features on top of generative AI.
• Strong analytical skills and comfort working directly with data to define metrics, run experiments, and make decisions.
• Excellent written and verbal communication skills, with the ability to build alignment among technical and operational staff.
• Experience working with distributed/async product development teams in different time zones.
• Based in Pune or willing to relocate, and able to work on‑site there on a hybrid basis.

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
• Experience building agentic systems, evaluation pipelines, agent harnesses, or human‑in‑the‑loop workflows.
• Familiarity with cybersecurity, vulnerability management, DevSecOps, or bug bounty and penetration testing.
• Prior experience working closely with an operations or triage team, or directly with security researchers.
• Comfort with SQL or light scripting to pull and analyze your own data.

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
• 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.