About this role.
This senior engineering leadership role owns AI-native intelligence dashboard and payments/monetization product areas for a cybersecurity platform. The manager will lead engineering managers and senior engineers, establish technical direction, and deliver production AI capabilities such as agentic workflows, natural-language querying, risk insights, and remediation prioritization. Responsibilities also include reliable researcher payments and scalable consumption-based billing, with strong cross-functional alignment across Product, Design, Data, and Security Research. Candidates need at least five years of product engineering management experience, experience mentoring engineering managers, and a strong foundation in systems supporting AI-enabled products. It is a high-autonomy, customer-impact role requiring both people leadership and execution across complex dependencies.
Role DNA
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Job Complexity
5/5Pace & Pressure
5/5Autonomy Level
5/5Communication Load
5/5Salary analysis
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Core skills
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Sample interview questions
I establish a clear customer outcome, define measurable quality and reliability metrics, and translate the strategy into team-level ownership boundaries and milestones. I use regular technical and product reviews to manage dependencies, validate model performance, and ensure teams can ship independently without compromising safety or operational readiness.
I would start with the highest-value decisions customers need to make, such as remediation prioritization and exposure trend analysis. I would pair trusted data foundations and explainable insights with natural-language interaction, human review paths for consequential recommendations, and metrics such as adoption, decision time, and MTTR improvement.
I set clear expectations for delivery, technical judgment, team health, and stakeholder management, then coach through recurring one-on-ones and real operating situations. I help managers develop their own decision-making framework, use data in retrospectives, and progressively take ownership of broader organizational problems.
I would prioritize correctness, auditability, and observability through explicit financial invariants, reconciliation processes, idempotent workflows, and clear incident ownership. Feature delivery would be staged behind controls, with strong automated testing, production monitoring, and close partnership with finance, legal, and customer-facing teams.
I separate enduring customer problems from implementation choices and maintain a roadmap with explicit decision checkpoints. Teams can experiment within defined guardrails, while material changes require evidence on customer value, model quality, security risk, operational cost, and impact on committed outcomes.
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.
HackerOne Values
HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne 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:
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.
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 the listed locations above. 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.
What You Will Do
Success in this role will be accomplished by delivering on the responsibilities below in alignment with the Values and Principles that define how we work at HackerOne.
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:
Tier Guide
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.
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