GRC Engineer
Reflection AI · New York, NY · San Francisco, CA
CHECKED 18H AGO
Frontier labonsitemid-level
At a glance
Highlights
- Build automated compliance controls that replace manual evidence collection.
- Translate AI governance and privacy policies into scalable technical controls.
- Support technical separations for regulated enclave environments.
What they offer
- Salary and equity structured to recognize and retain talent globally
- Stock options for all employees
- Comprehensive medical, dental, vision and life insurance plus annual wellness allowance
- Lunch and dinner provided in the office daily
- 22 weeks paid parental leave for all new parents
- Unlimited PTO in the U.S. and 30 days in the U.K.
- Regular off-sites, happy hours and team celebrations
Ideal candidate
An engineer who treats compliance as a product problem and loves automation. You bridge legal and engineering with ease and want to build defensible systems for open AI at startup speed.
Requirements
- 3-6 years of software engineering, security engineering, or DevOps/infrastructure experience
- Hands-on experience supporting at least one security framework (SOC 2, ISO 27001, or NIST) as an engineer
- Comfortable writing production-quality code (Python, or similar) and working with APIs/integrations
- Experience translating non-technical requirements (policy, regulatory, contractual) into technical implementation
- Familiarity with cloud infrastructure and identity/access management concepts
- Strong collaboration skills across compliance, legal, and engineering stakeholders
- Experience building or maintaining GRC tooling, TPRM/vendor risk platforms, or compliance automation (e.g., Vanta)
- Familiarity with CMMC, NIST 800-171/800-53, SOC 2, ISO 27001, GDPR/CCPA technical requirements
- Experience with data governance or data lineage tooling, especially in ML/AI pipelines
- Background supporting a government contracting or regulated environment
- visa sponsorship
- Visa sponsorship available
Lab profile
About Reflection AI
Research lab making intelligence open and accessible for everyone to use, customize, and build on.
What they build
- Open foundation models
- Aligned general agents
- Enterprise AI deployments
Known for
- Frontier model pre-training
- Post-training and alignment
- Distributed training infrastructure
- Secure cloud platform foundations