Senior Manager, AI Engineering

HackerOne • Seattle, WA

4d • $240,000 - $280,000 • Hybrid

About The Position

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.
At HackerOne, AI is central to how we help organizations continuously identify and reduce cyber risk. As a Senior Manager, AI Engineering, you will lead multiple AI engineering teams building and scaling AI-powered capabilities across our offensive security platform. Your work will directly impact how customers discover vulnerabilities earlier, remediate faster, and trust AI-driven security outcomes at scale.
In this role, you will empower Engineering Managers and senior engineers, shape how applied AI is delivered responsibly, and ensure teams consistently translate AI innovation into reliable, customer-impacting products. You will partner closely with Product, Design, Data, and Security Research to scale AI systems that combine automation with human expertise in meaningful ways.
At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within ~50 miles of Seattle or Austin. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work. NOTE: Must be able and willing to come to the office once per week (typically Thursdays).

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

Nice To Haves

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

Responsibilities

• Multiply Your Impact by leading, mentoring, and developing Engineering Managers and senior engineers, building scalable systems and practices that allow teams to deliver AI-powered solutions consistently and independently
• 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 how teams design, build, and operate products
• 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 rather than short-term workarounds
• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed