Security Engineering Manager, Applied AI

Responsibilities

• Support, develop, and grow a team of experienced engineers across security, privacy, integrity, and trust and safety, with accountability for team health, engagement, and retention
• Own people development end to end: regular 1:1s, growth planning, feedback, performance management, and supporting people through team and organizational change
• Hold accountability for the volume, quality, and complexity of the expert technical signal your team produces, prioritizing against identified capability gaps in model performance
• Connect your team to the highest-impact work by mapping individual strengths, growth areas, and interests to the right workstreams and projects
• Provide technical direction and guidance within the domain, and debug issues in quality or output together with your technical leads
• Maintain direct technical contribution alongside your team so your domain judgment stays current and credible
• Initiate or advise incubated research projects and internal advisory engagements, including identifying gaps in technical assumptions and roadmaps
• Collaborate with partner engineering managers, technical leads, and model researchers to ensure workstreams operate successfully
• Grow individual contributors toward the next level through coaching and by identifying or creating the opportunities that make growth possible
• Contribute beyond your immediate team to recruiting, organizational health, internal technical forums, and company-wide engineering programs

Minimum Qualifications

• B.S. or M.S. in Computer Science, Cybersecurity, or related field, or equivalent experience
• 8+ years of experience in security, privacy, integrity, trust and safety, or a related technical field, including hands-on technical management
• 4+ years of experience in people management and organizational leadership
• Demonstrated technical depth in at least one of security, privacy, integrity, or trust and safety, sufficient to set direction and assess the quality of expert technical work
• Proficiency in coding with experience in languages such as Python, Go, C/C++, or shell scripting
• Experience leveraging AI tools to redesign workflows and drive measurable impact, such as efficiency gains or quality improvements
• Demonstrated ability to lead teams through complex, ambiguous problems where the roadmap is still being defined

Preferred Qualifications

• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience creating structured methodologies that scale domain expertise across teams
• Experience improving AI model performance through expert feedback, red-teaming, or evaluation design
• Contributions to the security, privacy, or integrity community (original research, tools, conference presentations, publications)
• Demonstrated depth in adversarial analysis of software systems, abuse and integrity systems, or privacy and data protection engineering
• Experience designing benchmarks, evaluation harnesses, or other measurement for technical capability
• Experience growing individual contributors to the next level, with the growth attributable to your coaching

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