Engineering Manager, Distillation & Dectection Platform (AI)

TL;DR

Engineering Manager, Distillation & Detection Platform (AI): Leading a team building software systems to detect and prevent harmful misuse of frontier AI models with an accent on model IP protection, distillation detection, and emerging risk surfaces from autonomous agents. Focus on building reliable systems that can operate at billions of users scale.

Location: San Francisco

Salary: $293K – $385K + Offers Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Lead a team of software engineers building detection + mitigation systems for frontier model misuse.
• Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact.
• Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage.
• Partner deeply 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: architecture, reliability, monitoring, performance, and operational excellence.
• Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed.

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/Security to ship systems that materially reduce risk or abuse at scale.
• Experience building systems in adversarial, fast-evolving environments.
• Are comfortable with ambiguity and novelty.
• Have experience adjacent to security (e.g., abuse prevention, fraud, integrity, platform defense, auth/identity, malware/spam, adversarial environments).

Nice to have

• Familiarity with model extraction / distillation, adversarial evaluation, or scalable detection/mitigation approaches.
• Background in autonomy, high-scale real-time systems, or intelligence-adjacent technical domains is a plus.

Culture & Benefits

• We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.
• AI is an extremely powerful tool that must be created with safety and human needs at its core.
• We must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.