Make intelligence open and accessible to all. Backed by Battery, Lightspeed and Sequoia.
About the role
As a MTS for Technology & Security Engineering is responsible for architecting and operating the security engineering foundation that protects the organization’s corporate environment, multi-cloud research infrastructure, and multi-million-dollar GPU training capacity.
What they're looking for
- 7+ years of deep engineering experience at high-valuation companies, or in defense-grade environments
- Battle-tested technical leadership with a track record of building and operating security engineering functions at scale
- Experience supporting SOC 2, ISO 27001, FedRAMP, ISO 22237, ISO 22301, NIST CSF, customer audits, and enterprise security reviews
- Experience leading vendor risk, procurement security reviews, and legal contract negotiations
- Experience with front-line defenses for an AI company, including physical security and data center security operations
- Deep familiarity with Linux and macOS internals, including how to secure specialized hardware (NVIDIA GPUs) without breaking developer environments
More about this role
Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
As a MTS for Technology & Security Engineering is responsible for architecting and operating the security engineering foundation that protects the organization’s corporate environment, multi-cloud research infrastructure, and multi-million-dollar GPU training capacity. This leader owns the full technical security stack — from end-user compute and zero-trust access to cloud and container security, detection engineering, and security-as-code — ensuring the organization can move at research speed without sacrificing rigor.
Sitting at the intersection of security engineering, infrastructure, and research operations, this role is uniquely positioned to define how a frontier AI company protects its most sensitive assets — model weights, training data, and GPU capacity — while preserving the low-friction environment researchers and engineers need to do their best work. The ideal candidate brings deep, hands-on technical...
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