Senior Manager, AI Engineering

About HackerOne 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. Senior Manager, AI Engineering Remote Locations: Austin, TX; or Washington, DC. Position Summary: HackerOne is redefining how the world's leading organizations manage cyber risk – and AI is at the center of that transformation. As Senior Manager, AI Engineering, you will own two of the most strategically important product surfaces in our platform: AI‑Native Intelligence Dashboard – Transform our executive and analytical dashboard into an AI‑first experience that helps customers derive maximum value from their HackerOne engagement. Think proactive risk insights, natural language querying, automated remediation prioritization, and measurable reduction in Mean Time to Remediate (MTTR). Payments & Monetization – Lead the team responsible for researcher payments and consumption‑based billing, ensuring security researchers are paid reliably and HackerOne's contract monetization engine runs cleanly at scale. You will lead the team of senior engineers, set technical direction, and ship AI‑powered capabilities that customers can see, feel, and measure. This is a high‑autonomy role with real product ownership and direct customer impact. Reflecting our Flexible Work philosophy, this is a remote role targeted for candidates within ~50 miles of Washington DC, Boston, or Austin, with in‑office presence typically on Thursdays. What You Will Do 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. 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 Bands Base salary: $240,000 – $280,000. 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 and leave under CO's Healthy Families and Workplaces Act). Employee Assistance Program. Eligibility may differ by country. We’re committed to building a global team! 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 in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws. This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time. 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. #J-18808-Ljbffr Milwaukee Succeeds