Senior AI Engineering Manager — AI Platform & Payments Lead

hackerone; Washington (District of Columbia); Hybrid; USD 240,000 - 280,000; Full time

Benefits offered by this job

Health insurance

Equity options

Retirement plans

Unlimited PTO

Parental leave

Caregiver leave

Employee assistance

Job summary

HackerOne is redefining how the world's leading organizations manage cyber risk with AI-powered platforms and a global security researcher community. As Senior Manager, AI Engineering, you will own two strategic surfaces—AI-Native Intelligence Dashboard and Payments & Monetization—leading engineers and delivering measurable customer impact.

This remote role targets candidates within ~50 miles of Washington DC, Boston, or Austin, with in-office Thursdays.

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

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

Job description

HackerOne is redefining how the world's leading organizations manage cyber risk with AI-powered platforms and a global security researcher community. As Senior Manager, AI Engineering, you will own two strategic surfaces—AI-Native Intelligence Dashboard and Payments & Monetization—leading engineers and delivering measurable customer impact.

This remote role targets candidates within ~50 miles of Washington DC, Boston, or Austin, with in-office Thursdays.