Note: The job is a remote job and is open to candidates in USA. HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). They are seeking a Senior AI Automation Engineer to build and maintain scalable data infrastructure and design AI-powered automation solutions, enabling the team to focus on strategic, high-value outcomes.
Responsibilities
- Lead the end-to-end design and delivery of scalable, secure, and intelligent data products and AI automation solutions that support HackerOne's transformation into an AI-first organization
- Build, optimize, and maintain data pipelines and infrastructure that serve as the foundation for AI-powered systems and agentic operations
- Design and deploy AI-powered automation solutions that eliminate routine, manual work and unlock human capacity for strategic direction, creativity, and edge-case governance
- Partner across business and engineering teams to identify high-leverage opportunities for automation, integration, and system modernization
- Drive the architecture and execution of platform-level capabilities, leveraging AI and modern tooling to reduce manual effort, improve decision-making, and increase system resilience
- Provide technical leadership to internal engineers and external development partners, ensuring design quality, operational excellence, and long-term maintainability
- Shape and contribute to our incident and on-call response strategy, playbooks, and processes, focusing on building systems that fail gracefully and recover quickly
- Act as a multiplier to mentor other engineers, advocate for technical excellence, and promote a culture of innovation, curiosity, and continuous improvement
- Champion effective change management and enablement, ensuring systems are not only launched, but adopted, understood, and evolved
Skills
- 6+ years of experience in a Data Engineering, AI/ML, or similar role with a proven track record of leading the design, development, and deployment of scalable data products and AI-powered solutions, preferably using Python
- Extensive hands-on experience building and optimizing data pipelines, products, and solutions
- Extensive experience working with data technologies and tools such as Airflow and AWS
- Experience with infrastructure as code tools such as Terraform or Pulumi
- Experience designing and delivering AI-powered automation solutions, translating operational needs into scalable, automated systems
- Proven track record of successfully championing new initiatives focused on architectural enhancements
- Proven track record of having substantial impact across the company, demonstrating your ability to drive positive change and achieve significant results
- Passion for working backwards from the Customer and empathy for business stakeholders
- Excellent communication skills, with the ability to present data-driven narratives in verbal, presentation, and written formats
- Proven track record of having substantial impact across the company, demonstrating your ability to drive positive change, and achieve significant results
- Passion for working backwards from the Customer and empathy for business stakeholders
- Experience working with Model Context Protocol (MCP) for AI tooling and integration
- Thrive on solving ambiguous problem statements in an early-stage environment
- Excellent communication skills, and can present data-driven narratives in verbal, presentation, and written formats
- Experience shaping strategic vision and roadmaps for AI and SaaS
- Experience working with Agile and iterative development processes
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
Company Overview