Engineering Manager, Automation Intelligence

📋 Description

• Own the engineering roadmap from beta through GA and commercial launch, partnering with product
• Define and validate the service's operational limits, including throughput, latency, rate limiting
• Establish a continuous detection quality framework using representative test datasets, automated
• Guide detection capabilities for AI agents, assistants, stealth automation, headless browsers, and
• Manage staged rollouts of detection updates using feature flags, rollback procedures, and
• Lead, coach, and develop a small team of senior engineers; manage recruitment as the team grows.

🎯 Requirements

• At least three years of experience managing software engineers, ideally including senior and
• At least eight years of software engineering experience before or alongside management.
• Strong experience in at least one of: bot detection/management, fraud and abuse prevention, web
• Experience building or operating measurement-driven engineering processes including test datasets
• Regular use of AI coding agents and practical understanding of their strengths and limitations.
• Demonstrated ability to collaborate with product managers, researchers, and customer-facing teams.

🎁 Benefits

• Fully Remote Work: globally distributed, remote-first organization, subject to country eligibility
• Strategic Leadership Opportunity: report directly to VP of Engineering; lead strategically
• Product Ownership & Impact: guide emerging product from beta to commercial launch with
• Experienced Engineering Team: lead established group of senior engineers with plans to expand.
• Innovation & Technical Leadership: help establish AI-native engineering model, influence
• Professional Growth: develop expertise in AI agent detection, online fraud prevention, high-volume