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Staff GRC Engineer

Why Zania
At Zania, we’re redefining security compliance through cutting-edge AI solutions. Our mission is to empower enterprises with intelligent AI agents that streamline security compliance processes with unmatched precision.

Our team is composed of top innovators from industry leaders like Microsoft, Airbnb, Brex, Instacart, and GRC firms like PwC and Deloitte. Backed by a portfolio of Top 10 audit firms, Fortune 500 companies, and world-renowned universities, we are making a significant impact in the industry.

The Role

We are looking for a highly skilled Staff GRC Engineer with experience in leading GRC initiatives at consulting or audit advisory firms (Big 4 or Big 10). In this role, you will collaborate closely with our AI and Engineering teams to act as the GRC Subject Matter Expert (SME), providing technical guidance on integrating compliance requirements into AI models.

You will directly contribute to building AI systems that perform autonomous risk assessments and compliance evaluations. This role demands a deep understanding of multiple GRC frameworks and the ability to translate manual GRC processes into automated, AI-driven workflows.

Key Responsibilities

  1. GRC Framework Development and Integration

    • Develop and maintain comprehensive GRC policies and procedures based on industry standards (e.g., ISO, SOC2, GDPR, CCPA).

    • Apply technical expertise to design automated compliance validation processes, reducing manual effort and improving accuracy.

    • Build modular and scalable frameworks that can adapt to different client environments and compliance needs.

  2. AI Model Training and Development

    • Partner with AI engineers to translate GRC requirements into machine-readable formats.

    • Provide structured training data and perform quality assurance on AI-generated compliance outputs.

    • Develop technical documentation and specifications for GRC-driven AI algorithms.

  3. Risk Assessments & AI Training Material

    • Conduct thorough risk assessments and compliance audits, documenting them as training materials so the AI can learn to conduct assessments independently.

  4. Compliance Integration

    • Work with Product and Engineering teams to embed compliance requirements seamlessly into AI workflows, ensuring alignment with human decision-making.

  5. Vendor & Third-Party Risk Management

    • Assess vendors and third parties for compliance, using these evaluations as additional scenarios and data for AI training.

  6. Cross-Functional Collaboration & Strategy

    • Lead initiatives across legal, product, and security teams to build a unified GRC approach, aligning AI capabilities with broader business strategies.

Qualifications

  • 7+ years of experience in GRC roles, ideally with exposure to multiple frameworks (e.g., ISO, SOC2, GDPR, CCPA), and a strong background at top consulting firms (Big 4 or Big 10).

  • Proven ability to develop and implement GRC frameworks and translate them into AI-driven workflows.

  • Strategic leadership skills that bridge AI and GRC practices, enabling AI systems to perform human-level risk assessments.

  • Strong analytical and communication abilities, with the capacity to provide clear, actionable guidance for both AI development and compliance strategy.

  • Passion for working in a fast-paced, tech-driven environment where AI is at the forefront of transforming traditional GRC practices.

What We Offer

  • In-Office Environment: This role is based in our San Francisco office, fostering collaboration and hands-on engagement with our cutting-edge AI initiatives.

  • Impact & Growth: Lead crucial GRC initiatives and shape the future of AI-powered compliance within a rapidly growing startup.

  • Competitive Package: Attractive salary and benefits, with a strong emphasis on professional development.

Join us at Zania and be at the forefront of revolutionizing GRC with AI. If you’re ready to lead, innovate, and collaborate in an environment that champions cutting-edge technology, we’d love to hear from you!

Average salary estimate

$220000 / YEARLY (est.)
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$180000K
$260000K

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EMPLOYMENT TYPE
Full-time, onsite
DATE POSTED
October 10, 2025
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