Job Overview
Location
United States
Job Type
Full-time
Category
Software Engineering
Date Posted
June 21, 2026
Full Job Description
đź“‹ Description
- • Lead two strategically critical AI engineering product surfaces: the AI-Native Intelligence Dashboard and Payments & Monetization systems, ensuring they deliver measurable, customer-visible impact through AI-powered capabilities.
- • Transform the AI-Native Intelligence Dashboard into an AI-first experience featuring proactive risk insights, natural language querying, automated remediation prioritization, and measurable reduction in Mean Time to Remediate (MTTR).
- • Oversee the team responsible for researcher payments and consumption-based billing, ensuring reliable, scalable, and secure monetization operations that support global security researchers.
- • Manage and mentor a team of Engineering Managers and senior engineers, fostering scalable systems and practices that enable autonomous, high-performing AI delivery.
- • Own end-to-end execution across multiple AI engineering teams, ensuring delivery commitments are met, cross-team dependencies are actively managed, and accountability for customer outcomes is maintained.
- • Drive an AI-First engineering culture by embedding agentic AI workflows, responsible AI practices, and automated decision-making into product design, development, and operations.
- • Guide teams through evolving AI technologies, shifting security threats, and dynamic product priorities while maintaining team health, clarity, and momentum.
- • Apply first-principles problem solving to complex AI and product challenges, designing durable, scalable solutions rather than short-term workarounds.
- • Leverage data-driven decision making to assess system performance, AI model quality, delivery outcomes, and operational health, using evidence to prioritize initiatives and improvements.
- • Collaborate cross-functionally with Product, Design, Data, Security Research, and other Engineering leaders to align AI engineering efforts with company strategy and customer needs.
- • Reflect HackerOne’s Flexible Work philosophy by operating remotely within ~50 miles of Boston, MA; Austin, TX; or Washington, DC, with in-office presence typically on Thursdays to foster collaboration and culture.
- • Uphold HackerOne’s core values: Customer Obsession, Default to Disclosure, and Win Together, ensuring transparency, accountability, and inclusion in all engineering decisions and team interactions.
🎯 Requirements
- • 5+ years of experience managing product engineering teams, including teams delivering AI-powered or data-intensive systems
- • Demonstrated experience leading teams with complex dependencies across engineering, product, and non-technical partners
- • Experience developing and mentoring Engineering Managers
- • Strong technical foundation in modern software systems that support AI-enabled products
- • Experience building or scaling applied AI systems in production environments (preferred)
- • Familiarity with human-in-the-loop, agentic, or automation-driven workflows (preferred)
🏖️ 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
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About HackerOne, Inc.
HackerOne operates a vulnerability coordination and bug-bounty platform that connects organizations with a global community of security researchers. Companies run managed programs to receive responsibly disclosed security flaws, set reward tiers, and track remediation. The San Francisco–headquartered firm provides triage, disclosure, analytics, and compliance tooling to enterprises and government agencies seeking continuous security testing beyond traditional audits and scans.
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