Senior Manager, AI Engineering

DaParrot Ltd; Northern (KY); Hybrid; USD 240,000 - 280,000; Full time

Benefits offered by this job

Health insurance

Equity stock options

Unlimited PTO

Job summary

HackerOne is redefining how the world’s leading organizations manage cyber risk, with AI at the center of our platform. As Senior Manager, AI Engineering, you will own AI-native capabilities and payments/monetization surfaces, leading engineering managers and senior engineers to deliver measurable customer impact.

You will set technical direction, drive an AI-first engineering approach, and collaborate cross-functionally with Product, Design, Data, and Security Research to ship reliable,

Qualifications

• 5+ years of experience managing product engineering teams.
• Experience mentoring Engineering Managers.
• Strong foundation in modern software systems supporting AI-enabled products.

Responsibilities

• Lead, mentor, and develop Engineering Managers and senior engineers.
• Own execution across multiple AI engineering teams with cross-functional dependencies.
• Drive an AI-first approach embedding agentic workflows and NLP capabilities.
• Guide teams through evolving AI technologies while maintaining momentum.
• Collaborate with Product, Design, Data, and Security Research to align AI efforts with strategy.
• Deliver measurable customer impact and reliable, scalable AI-powered solutions.

Skills

Engineering management

Product engineering leadership

Team leadership

Mentoring Engineering Managers

AI-powered systems

Tools

PostgreSQL

Rails

GraphQL

Apollo

React

Job description

# Senior Manager, AI EngineeringReview the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.Apply for this job View companyRole snapshotHiring nowRemote from: USASalary: USD 240k–280k / yrDepartment: Software EngineeringEmployment: Full TimeExperience: Director**16 Sep 2026**Published**63**Listing views**4**Application actions**16 Oct 2026**Apply beforeOpportunity details## About this role.AI SummaryThis 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 DNAA quick view of the complexity, pace, ownership and collaboration implied by the job description.### Job Complexity5/5EasyHard### Pace & Pressure5/5RelaxedFast-paced### Autonomy Level5/5GuidedFull ownership### Communication Load5/5IndependentCollaborative**AI insight**This is a senior, multi-team leadership position combining applied AI delivery, complex platform engineering, payments reliability, and strategic product ownership. Success requires managing leaders, resolving cross-functional dependencies, and delivering measurable customer outcomes in a rapidly evolving security and AI environment.## Salary analysisEstimated compensation compared with the broader US market for similar roles.Estimated job medianHighly competitive**$260,000**US market range**$220k–$300k**0$330k**AI insight**The disclosed base-salary range is USD 240,000 to USD 280,000 yearly, with a midpoint of USD 260,000. This is competitive for a US-based Senior Manager of AI Engineering leading multiple product areas and engineering leaders; an estimated US market base-salary range is USD 220,000 to USD 300,000, excluding equity and benefits.## Core skillsSkills and capabilities most closely associated with this opportunity.AI engineering leadershipEngineering managementApplied AIAgentic systemsProduct engineeringPayments systemsMonetizationCybersecurityPostgreSQLCross-functional leadership**Sample interview questions**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 ReactCompensation Bands: Tier GuideBase 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.