Director of Engineering, Security Governance

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Director of Engineering, Security Governance | WithMira

Resumen del rol

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Flow ID and governance capabilities that support platform-wide AI oversight
Auditing for the DevSecOps AI Platform (DAP) and Software Factory, the MCP Catalog, and governance dashboards

Set the engineering vision and multi-quarter roadmap across six teams focused on security policy enforcement, compliance management, security feature adoption, and AI governance, with clear quarterly outcomes for delivery and adoption.
Lead and grow a distributed engineering organization that includes engineering managers and individual contributors, with success measured by team performance, engagement, and career development outcomes.
Drive architectural decisions for policy enforcement, compliance, and AI governance systems to improve correctness, scalability, and auditability, with success measured by reliability and audit readiness.
Partner with product management to define priorities and shape requirements for platform capabilities used by security-focused enterprise customers, with a focus on adoption and roadmap delivery.
Own platform-wide AI governance infrastructure, including Flow ID, auditing for the DevSecOps AI Platform (DAP) and Software Factory, the MCP Catalog, and governance dashboards.
Represent the Security Governance group in cross-functional discussions, executive reviews, and customer conversations.
Establish engineering standards across delivery, observability, incident response, and code quality to improve delivery predictability, observability coverage, and incident response effectiveness.
Contribute to GitLab's transparent, async-first way of working through issues, merge requests, and the GitLab handbook.

Experience leading engineering organizations that include multiple teams and managers.
Strong understanding of security fundamentals, including policy enforcement, compliance frameworks such as SOC 2, ISO 27001, and FedRAMP, and software supply chain security.
Experience building platform-level or infrastructure-level systems in a SaaS or DevSecOps environment.
Ability to partner closely with product management on roadmap planning, prioritization, and requirements.
Strong written communication skills and experience leading in a remote, async-first environment.
Collaborative leadership style that supports teams, values clear feedback, and aligns with GitLab's values.
Familiarity with AI governance topics such as auditability, access control, model or tool catalogs, and responsible AI deployment, or transferable experience from related governance domains.
Exposure to MCP, AI agent orchestration tooling, enterprise regulatory environments, or open source contribution and maintainer work is useful but not required.