Engineering Manager, Software Security at Turing

Engineering Manager, Software Security | Remote | 3-month contract | 40 hrs/week with 4 hrs overlap with PST

About the role

Turing works with frontier AI labs on training data, evaluations, and engineering talent. This role leads the development of security-focused training and evaluation tasks for frontier AI coding models. You own delivery, quality, and capacity across multiple pods, and are accountable to Google for throughput, task difficulty, quality standards, and on-time batch completion. You act as the final quality gate, ensuring vulnerability-based tasks are technically accurate, reproducible, robust against gaming, and aligned with the project's evaluation goals.

What you'll do

• Plan batches, assign work to Pod Leads, and track daily throughput against phase targets
• Ensure batches meet Google's expectations for volume, difficulty, quality, and timelines
• Lead weekly client reporting and communicate progress, risks, and dependencies
• Align with Google on scope, timelines, task volume, and difficulty changes
• Escalate tooling issues, rate limits, safety blocks, and staffing constraints early
• Conduct final reviews of security tasks before delivery
• Calibrate Pod Leads on CWE classification, verifier robustness, task quality, and difficulty
• Run interviews and make hiring decisions; promote high-performing Trainers to Pod Lead roles
• Forecast headcount needs from throughput and workload data, starting hiring waves about three weeks ahead of projected capacity requirements
• Use dashboards and operational metrics to drive delivery and staffing decisions

Requirements

• Senior software security engineer with overall 10 years of experience
• Experience leading teams against measurable delivery, quality, and schedule targets
• Strong understanding of CWE, CVE, and the OWASP Top 10 across multiple programming languages and software ecosystems
• Demonstrated experience reproducing vulnerabilities, reviewing security patches, and evaluating proof-of-vulnerability tests
• Experience designing or reviewing automated tests, verifiers, CI workflows, or reproducible technical evaluation environments
• Strong proficiency in at least one major programming language, such as Python, JavaScript/TypeScript, Java, C/C++, C#, Go, Rust, Ruby, PHP, Kotlin, or Swift
• Experience with Git, Linux, Bash, Docker, and common software security tooling
• Comfortable using dashboards, throughput metrics, quality data, and operational reports to make delivery and staffing decisions
• Experience managing or mentoring technical teams, including assigning work, reviewing output, giving feedback, and developing team leads
• Excellent written and verbal communication, with the ability to explain technical risks and project status clearly to clients and internal stakeholders
• Strong organizational skills and the ability to manage multiple pods, priorities, and delivery phases simultaneously

Terms and interview process

• Commitment: 40 hours per week with 4 hours of overlap with PST
• Engagement type: contractor assignment (no medical/paid leave)
• Contract duration: 3 months
• Work fully remote, with the opportunity to work on AI projects with leading LLM companies
• Interview rounds: AI interview (~30 mins), then a technical delivery interview (45 mins)