Cybersecurity GRC Manager

Confirmed live in the last 24 hours

Cerebras Systems

Sunnyvale CA or Toronto Canada

On-site

Posted April 15, 2026

Job Description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.

Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

About The Role

The Cybersecurity GRC Manager is accountable for maturing and scaling engineering-driven governance, risk, and compliance programs that support the security, privacy, and regulatory-compliant posture of the organization. The ideal candidate will bring a unique blend of deep technical security acumen and GRC expertise, enabling the creation of GRC workflows that are measurable, automated, and resilient. This is a strategic, cross-functional, and customer-facing role reporting to the Director of Governance, Risk, & Compliance.

A successful candidate will have a comprehensive understanding of cybersecurity and privacy industry frameworks (e.g., NIST, ISO, SOC 2, CCPA, GDPR, HIPAA). They will be responsible for transforming governance, risk, and compliance practices into proactive, testable capabilities using automation, continuous auditing, and AI-driven solutions.

Proficiency with AI tools (LLMs, prompt engineering, generative‑AI workflows) is a core requirement – you’ll use AI to streamline GRC workflow creation and implementation, evidence generation, and security risk mitigation. Experience with designing and implementing autonomous “agentic AI” solutions is preferred.

Responsibilities

Drive a compliance operating model that includes automated control testing, self-service reporting, and AI-enhanced risk analysis. Implement continuous control monitoring and evidence collection pipelines integrated into cloud-native and on-prem environments.
Partner with engineering and product teams to define and codify security and compliance requirements as part of the SDLC. Introduce automated security/compliance tests into CI/CD pipelines to support shift-left practices.

gomachine learningaidataproductdesign