Senior Manager, AI Engineering

Overview

Hacker One is a global leader in Continuous Threat Exposure Management (CTEM). The Hacker One 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, Hacker One delivers measurable, continuous reduction of cyber risk for enterprises.

Industry leaders, including Anthropic, , General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust Hacker One to safeguard their digital ecosystems. Hacker One 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).

Hacker One 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, Hacker One 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.

Hacker One is dedicated to fostering a strong and inclusive culture. Hacker One 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.

Senior Manager, AI Engineering — Remote

Location:

Seattle, WA or Austin, TX

At Hacker One, 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.

Success in the Senior Manager, AI Engineering role will be accomplished by delivering on the responsibilities below in alignment with the Values and Principles that define how we work at Hacker One.

• 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

• 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
• Familiarity with human-in-the-loop, agentic, or automation-driven workflows
• Experience with technologies in Hacker One s core stack, including Postgre
  
  SQL, Rails, Graph
  
  QL, Apollo, and React

• Base salary: $300,000 to…