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.
Reflection AI's Compliance and AI Governance function spans six pillars: AI Governance, Data Governance, Trade Compliance, Privacy Operationalization, Government Contracting Compliance, and Corporate Compliance. The team builds the policies, controls, and operating rhythms that let the company move fast while staying defensible with regulators, customers, and partners. This role sits at the intersection of compliance and engineering, partnering most closely on technical controls required by Security frameworks, AI Governance frameworks, Privacy, and Data Governance pillars to translate policy requirements into technical controls that scale.
We're looking for a Governance, Risk, & Compliance engineer who wants to work on compliance as a product problem rather than a paperwork problem. You'll build and maintain the technical infrastructure (tooling, pipelines, automated controls, evidence collection) that lets the compliance program operate at engineering scale instead of through manual review. A core part of the job is keeping our security framework compliance (SOC 2, ISO 27001, NIST) running on automated evidence rather than manual screenshotting, and building out the technical side of our Trade Compliance, Privacy, Data Governance, and TPRM program. You'll be the technical translator between compliance requirements and the engineering and security teams that have to implement them.
Design and build automated controls and monitoring that satisfy security framework requirements (SOC 2, ISO 27001, NIST 800-53/800-171, CMMC): access reviews, data minimization, model/data lineage, continuous evidence collection
Partner with Engineering, Security, and IT to implement technical requirements arising from security frameworks, deemed export controls, and privacy regulations
Build and maintain internal tooling that supports compliance workflows (intake forms, screening checks, reporting dashboards, GRC platform integrations such as Vanta)
Translate regulatory and policy requirements into concrete technical specifications engineering teams can implement
Support technical due diligence for inbound customer security questionnaires, audits, and outbound vendor assessments
Maintain integrations between compliance/GRC systems and source-of-truth systems (identity, data infrastructure, model pipelines)
Help scope and support technical environment separations or system boundaries required for regulatory compliance (e.g., subsidiary or enclave environments)
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, not just as a subject
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; able to work effectively with compliance, legal, and engineering stakeholders who don't share a common vocabulary
Experience building or maintaining GRC tooling, TPRM/vendor risk platforms, or compliance automation (e.g., Vanta or similar)
Familiarity with one or more relevant frameworks: 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
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at [email protected].
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice