Applications will be accepted until 04/13/2026.
Description
Trust is our #1 value at Salesforce. As the Sr. Director for the Office of the CEO, you will lead the strategic vision and execution of our cloud security posture, assess, challenge, and guide highly technical security implementations spanning Agentforce, Data Cloud, and platform infrastructure. You will manage an elite organization of security engineers and managers focused on building automated, scalable security controls that protect our multi-cloud substrate. You will test the trust boundary to improve security by design, define and assess tools to secure development and ultimately, view every AI-powered solution with a lens for scalability, reliability, cost efficiency, and business impact before they reach customers at enterprise scale.
This is not a traditional engineering management role. The Sr. Director will operate as an extension of the CEO’s leadership team, providing independent technical judgment on complex implementations, identifying opportunities to modernize and consolidate legacy systems, and drive alignment across a highly matrixed organization that includes Engineering, Security, Product, Infrastructure, Finance, and Go-to-Market. The successful candidate will bring deep firsthand experience delivering results across cloud hyperscalers, a track record of replacing legacy services with secure AI-driven solutions, and the organizational credibility to influence senior leaders across functions without direct authority.
Key Responsibilities:
Security Evaluations & Technical Governance:
Drive security alignment across a complex landscape of "dotted-line" stakeholders. You will partner with Cloud Business Units (CBUs) and Product Engineering to ensure security is baked into the "Golden Path" of development without sacrificing velocity.
Lead the shift-left movement by ensuring all security controls are delivered via Terraform, Pulumi, or Ansible. You believe that if a security policy isn't in code, it doesn't exist.
Translate complex technical constraints and architectural trade-offs into clear strategic recommendations for C-suite and VP-level stakeholders.
Partner with engineering organizations to define and pressure-test multi-year platform roadmaps, focusing on identity and access management (IAM), data protection, and threat detection within AWS and GCP environments, ensuring secure technical execution is tightly aligned with business objectives.
Act as a key member of the Security Architecture Council, providing expert guidance on zero-trust architectures, service mesh security (Istio), and container security (Kubernetes/GKE).
Technical Evaluation & Architectural Oversight:
Evaluate highly technical AI implementations across Salesforce’s product and infrastructure portfolio, providing the Office of the CEO with independent assessments of architectural soundness, security rating, scalability, and operational readiness.
Conduct deep-dive reviews of distributed systems, cloud-native platforms, and AI/ML-driven services, identifying risks, bottlenecks, and opportunities for consolidation or modernization.
Assess build-vs-buy decisions and integration approaches for AI-powered capabilities, drawing on hands-on experience with large-scale commerce and platform infrastructure.
AI-Driven Modernization & Legacy Transformation:
Drive strategy and evaluation of initiatives that replace legacy services with AI-enabled platforms, leveraging experience decommissioning legacy systems at scale and delivering measurable cost optimization.
Technical Acumen: While your primary focus is leadership, you stay "hands-on" enough to conduct design reviews and understand the nuances of backend automation in Python or Golang.
Required Experience & Skills:
Executive Leadership: 15+ years of progressive experience in software engineering and engineering leadership, with at least 5 years in senior leadership roles (Director or above, managing managers preferred).
Cloud-Native Security Mastery: Deep technical expertise across cloud hyperscalers (AWS, Azure, or GCP) and Kubernetes (K8s) security. You understand the unique threat vectors of containerized environments.
Security-as-Code Mindset: Proven track record of implementing security controls through Infrastructure-as-Code and automated CI/CD pipelines.
Matrix Navigation Skills: Exceptional ability to lead by influence. You have a "Diplomacy-First" approach to resolving conflicts between security requirements and product feature deadlines.
Engineering Pedigree: Strong backend foundation in Python, Golang, or Java. You speak the same language as our core platform engineers. Strong technical foundation in cloud infrastructure, system architecture, and multi-cloud platform development and optimization.
AI & ML Education: Graduate degree in artificial intelligence, machine learning, or a closely related field, which includes hands-on experience beyond academia.
Preferred Qualifications:
Experience securing B2C-scale distributed systems (billions of transactions).
Current, active U.S. Government Security Clearance of Top Secret or above.
Experience working with U.S. federal government or Department of Defense customers.