Senior AI Automation Engineer

🕒 May 21

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

💵 $160k - $200k / year

⏰ Full Time

🟠 Senior

🤖 QA Automation Engineer

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HackerOne

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

🔐 Security

🔒 Cybersecurity

💰 $49M Series E on 2022-01

Security • Cybersecurity

HackerOne is a platform that connects businesses with ethical hackers to identify and fix security vulnerabilities. It offers services like bug bounty programs, pentest as a service, continuous security testing, vulnerability disclosure programs, AI safety and security testing, and application and cloud security. HackerOne engages a global community of ethical hackers who help businesses secure their digital assets by finding and addressing vulnerabilities. By leveraging both human and AI resources, HackerOne aims to outmatch cybercriminals and enhance security for various sectors, including automotive, financial services, government, healthcare, and retail. The company also provides educational resources, such as Hacker101, to train and develop the skills of people interested in cybersecurity.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ 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