Engineering Manager, Distillation & Detection Platform

Details

We’re looking for an engineering manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models before incidents occur. This is a builder’s role focused on shipping production services, detection pipelines, and mitigation mechanisms that protect frontier model integrity and reduce high-severity misuse risk.

The role intersects with frontier model development, security, and risk, and requires a software engineering foundation with the ability to build reliable systems operating at billions-of-users scale.

Responsibilities

• Lead a team of software engineers building detection and mitigation systems for frontier model misuse, with an emphasis on model IP protection, distillation detection, and emerging risk surfaces from autonomous agents.
• Set the technical roadmap and execution strategy, including prioritization, design, delivery, iteration, and impact measurement.
• Build production services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage.
• Partner with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale.
• Drive strong engineering fundamentals across architecture, reliability, monitoring, performance, and operational excellence.
• Hire and grow an exceptional team across backend, data systems, and applied machine learning engineering domains as needed.
• Anticipate failure modes at scale as agentic workflows become more capable.

Requirements

• Significant experience leading engineering teams and delivering production systems end to end.
• Strong technical judgment in system design, distributed systems, data pipelines, observability, and operational reliability.
• Demonstrated ability to partner cross-functionally with Research, Product, and Security to ship systems that materially reduce risk or abuse at scale.
• Experience building systems in adversarial, fast-evolving environments.
• Comfort with ambiguity and novelty.
• Experience adjacent to security, such as abuse prevention, fraud, integrity, platform defense, authentication and identity, malware or spam prevention, or other adversarial environments.
• Clear communication and the ability to build trust quickly with senior stakeholders while remaining pragmatic, collaborative, and calm under scrutiny.
• Familiarity with model extraction or distillation, adversarial evaluation, or scalable detection and mitigation approaches.
• Background in autonomy, high-scale real-time systems, or intelligence-adjacent technical domains is a plus.

Benefits

• Equity and performance-related bonuses for eligible employees.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for health, dependent care, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, paid company holidays, office closures, and paid sick or safe time.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.