AI Product Manager

HackerOne·Pune·Onsite

Senior Product ManagerAISaaS

Experience

5+ years

Employment

Full Time

Work mode

Onsite

Level

Senior Product Manager

Location

Pune

Posted

1 week ago

About the 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

What you'll do

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

What you'll bring

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.
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.