Cloudflare
Director, Global Design & Construction
$223K–$307K
Hybrid +2 · Director · Full-time · Posted Aug 26, 2026
- Location
- Hybrid
Austin, TX, United States
San Francisco, CA, United States - Experience
- 10-12+ years leading interior design and complex construction project management, specifically within high-growth technology companies or global enterprises.
- Education
- Bachelor’s or Master’s degree in a related field such as Architecture, Project Management, Interior Design, or Engineering.
- Visa sponsorship
- Any offer may be conditioned on authorization to receive software or technology controlled under U.S. export laws without sponsorship for an export license.
About the job
Leads Cloudflare’s global office design and construction strategy, delivering culturally distinctive workplaces while using AI, automation, and data to improve project execution and space planning.
What you'll do
- Direct global office design and construction projects, budgets, partner coordination, commissioning, and compliance.
- Develop AI-enabled workflows to automate project processes and improve cost, risk, and quality controls.
- Use utilization data and employee feedback to evolve workplace designs, site strategy, and capital allocation.
What they ask for
- Proven track record directing a global corporate office portfolio exceeding 250,000+ total square feet.
- Knowledge of MEP systems, architectural principles, AV/IT, and their connection to automated building systems.
- Outstanding leadership and collaboration skills influencing executives and external partners across multiple time zones.
- Willingness to work in-office ~3 days a week and travel globally.
Nice to have
- LEED, WELL, or PMP Certifications.
- Experience with AI-enhanced workflows, generative design platforms, or AI-assisted operational models.
Pay
$223,000 - $307,000 USD annual salary (base salary)
Tools
AI, MEP systems, AV/IT, generative design platforms
AI focus
Architects AI and automation workflows to reduce manual project bottlenecks, improve budgeting and risk identification, and support data-driven design and operational decisions.
Model-written summary · the original posting is authoritative