AI Governance Lead

🇺🇸 New York City, New York
$2K - $3K Annual
Posted 3 weeks ago
Expires June 23, 2026

OUR MISSION

Reflection’s mission is to build open superintelligence and make it accessible to all.

We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.

ROLE OVERVIEW

We are seeking an AI Governance Lead to translate Reflection AI’s Compliance and AI Governance Roadmap into an operational, auditable compliance capability. You will work at the frontier of AI governance, turning regulatory and control requirements into repeatable practices that hold up to internal scrutiny, external audits, regulator expectations, and customer diligence.

You will serve as the hands-on compliance leader embedded in the model development lifecycle. You will partner closely with engineering, research, product, security, legal, and safety teams to ensure compliance is built into the way models are designed, tested, reviewed, released, and monitored. This role will be helping the organization scale safe, compliant model development now, instead of retrofitting controls later.

You will operationalize requirements across EU AI Act readiness, AI specific framework obligations, SOC 2 / ISO / NIST-aligned controls, and “compliance-as-code” workflows. The right candidate is deeply execution-oriented, comfortable with technical systems and evidence, and able to convert evolving regulatory expectations into clear controls, approvals, attestations, and audit-grade outputs.

KEY RESPONSIBILITIES

- Run hands-on compliance assessments, evidence capture, and remediation tracking that convert roadmap requirements into audit-ready outputs.

- Own pre-deployment compliance reviews and attestations, verifying that required documentation, approvals, and controls are complete before production release.

- Conduct structured lifecycle risk assessments across privacy, security, safety and model behavior, and regulatory non...

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