Senior Manager, AI Engineering

About HackerOne

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM), uniting agentic AI solutions with the world’s largest community of security researchers. Our platform continuously discovers, validates, prioritizes, and remediates exposures across code, cloud, and AI systems through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security. Trusted by industry leaders such as Anthropic, Crypto.com, General Motors, and the U.S. Department of Defense, HackerOne delivers measurable, continuous reduction of cyber risk. Recognized for leadership in AI Security Testing and as a Most Loved Workplace, HackerOne is at a pivotal inflection point, driving the industry shift towards offensive security as the new standard.

HackerOne Values

HackerOne is dedicated to fostering a strong and inclusive culture, guided by these values:

• Customer Obsessed: Prioritizing customer outcomes in all decisions and actions.
• Default to Disclosure: Operating with transparency and integrity, ensuring trust and accountability.
• Win Together: Fostering empowerment, inclusion, respect, and accountability among employees, researchers, customers, and partners.

Position Summary: Senior Manager, AI Engineering

As Senior Manager, AI Engineering, you will own two strategically important product surfaces within HackerOne’s platform, which is redefining cyber risk management with AI at its core:

1. AI-Native Intelligence Dashboard: Transform our executive and analytical dashboard into an AI-first experience, providing proactive risk insights, natural language querying, automated remediation prioritization, and measurable reduction in Mean Time to Remediate (MTTR).
2. Payments & Monetization: Lead the team responsible for researcher payments and consumption-based billing, ensuring reliable payments for security researchers and clean, scalable operation of HackerOne’s contract monetization engine.

This is a high-autonomy role with direct product ownership and significant customer impact. You will lead a team of senior engineers, set technical direction, and ship AI-powered capabilities that customers can tangibly experience and measure.

Work Location & Flexible Work Philosophy

This is a remote role targeted for candidates within approximately 50 miles of Austin, TX; or Washington, DC. Our Flexible Work philosophy allows us to do our best work while fostering connections and community. This balance of proximity and flexibility encourages occasional in-person collaboration, enriching our culture while preserving the benefits of remote work.

What You Will Do (Key Responsibilities)

Success in this role is achieved by delivering on the following responsibilities, aligned with HackerOne's Values and Principles:

• Multiply Your Impact by leading, mentoring, and developing Engineering Managers and senior engineers, building scalable systems and practices for consistent and independent delivery of AI-powered solutions.
• Own the Outcome for execution across multiple AI engineering teams, ensuring delivery commitments are met, dependencies are actively managed, and teams are accountable for customer-visible impact.
• Drive an AI First approach to engineering by embedding AI-powered workflows, agentic systems, and responsible AI practices into product design, build, and operation.
• Practice Change Agility by guiding teams through evolving AI technologies, shifting priorities, and emerging security threats, while maintaining clarity, momentum, and team health.
• Apply First Principles Problem Solving to complex AI and product challenges, breaking problems down to fundamentals and designing durable, scalable solutions.
• Leverage Data-Driven Decision Making to assess system performance, model quality, delivery outcomes, and operational health, using evidence to inform priorities 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.

Minimum Qualifications

• 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.

Preferred Qualifications

• Experience building or scaling applied AI systems in production environments.
• Familiarity with human-in-the-loop, agentic, or automation-driven workflows.
• Background in fintech, payments, or monetization systems.
• Experience with technologies in HackerOne’s core stack, including PostgreSQL, Rails, GraphQL, Apollo, and React.

Compensation & Benefits

Base salary: $240,000 – $280,000 (Refer to Tier Guide for compensation bands).

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)
• Employee Assistance Program

*Eligibility may differ by country.

Additional Information

• 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, making hiring decisions based solely on qualifications, merit, and business needs.
• 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.