Infrastructure Security Lead

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Infrastructure Security Lead

San Francisco

About Together AI

Together AI is a research-driven AI infrastructure company building the go-to platform for developers to run, fine-tune, and build on open models. We believe open and transparent AI systems drive innovation and create the best outcomes for society, and we're on a mission to dramatically lower the cost of modern AI systems. Our team has helped ship foundational open-source research like FlashAttention, FlexGen, and RedPajama — and we're building the next generation of AI infrastructure.

About The Role

We're looking for a hands-on security leader to own infrastructure security.

You'll be the technical owner of how we keep our systems secure, building internal security tooling, deepening our detection and telemetry, and hardening our global infrastructure against threats that range from opportunistic attackers to sophisticated nation-state actors.

You'll report directly to our SVP of Engineering and help define infrastructure security. Over time, you'll grow the team, set the standards, and increasingly shape how we secure the systems at the heart of modern AI: training clusters, GPU fleets, model artifacts, and inference.

Responsibilities

• Own infrastructure security for Together AI's globally distributed systems — hands-on, as the technical leader of the function.
• Build and lead the infrastructure security team, defining what great looks like and attracting engineers who want to build with you.
• Partner with engineering and infrastructure teams to harden global systems — shipping security as something that speeds engineering up, not slows it down.
• Develop and implement internal security tooling that addresses security challenges at scale.
• Deepen our security telemetry and detection — gathering system telemetry and improving detection of and response to potential security events.
• Identify and remediate vulnerabilities across our engineering systems, including authenticated vulnerability scanning of distributed systems.
• Grow into securing the AI-specific surface — training clusters, GPU fleets, model artifacts, and inference endpoints — as the threat landscape evolves.

Requirements

• Hands-on security leadership — you can lead a team and stay deep in the technical work. You lead by building, not just by delegating.

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