AI maturity
building
Director of AIRemote
Director of AI Enablement & Systems
Stand8 Technology Consulting · IT Consulting / Technology Services · 📍 San Francisco County, CA
Stand8 is hiring a hands-on Director to build and own the AI infrastructure, platforms, and governance layer that enables enterprise AI delivery across client-facing and internal technology operations.
Reports to
CTO
Company stage
scale-up
Source
linkedin
Key responsibilities
- Own reliability, scalability, and operational SLAs of AI infrastructure including MCP servers
- Define and maintain standardized AI development environments, integration frameworks, and architecture patterns
- Lead end-to-end delivery of AI infrastructure initiatives from design through production
- Own architecture, governance, and optimization of CRM and ERP systems for AI readiness
- Build APIs, data access frameworks, and automation pathways for enterprise system extensibility
- Own data warehouse strategy and governance to support analytics and AI enablement
- Design AI tool evaluation frameworks covering scalability, security, and business impact
- Establish governance guardrails for AI tools, enterprise systems, and integrations
- Partner with security and IT leadership to ensure compliance with enterprise standards
Requirements
- 10+ years of experience in enterprise systems, AI infrastructure, or related technical leadership
- Hands-on technical capability with AI platforms, MCP servers, and integration frameworks
- Experience owning CRM/ERP architecture and governance at enterprise scale
- Demonstrated ability to build and enforce governance and compliance frameworks for AI
- Ability to translate business requirements into scalable technical architecture
Signals
- ⚠ No salary or compensation range posted — limits candidate quality at Director level
- ⚠ Job description is cut off mid-sentence in qualifications section — incomplete posting
- ⚠ No team size or reporting structure explicitly stated
- ⚠ Broad scope spanning AI infrastructure, CRM/ERP, data warehouse, and governance may indicate under-resourced role
- ✓ Clearly defined technical mandate with strategic and operational ownership
- ✓ Explicit mention of MCP servers signals current, modern AI infrastructure investment
- ✓ Multi-geography firm with US and international offices suggests meaningful enterprise scale
- ✓ Cross-functional collaboration mandate indicates organizational buy-in for AI enablement
- ✓ Hands-on prototyping plus enterprise rollout authority suggests real decision-making power