Director, Capacity Planning & Engineering

San Mateo, CA · San Mateo · USD 399,420-457,970 / year · 10+ years experience · Full-time · Onsite · Posted Sep 21, 2026

At a glance

The Director of Capacity Planning & Engineering leads the team responsible for translating platform demand into physical infrastructure reality.
This role oversees supply-demand modeling, hardware procurement, data center deployment, and FinOps.
It is a leadership position at the intersection of infrastructure strategy, operational execution, and software engineering.

Translate platform demand forecasts into hardware requirements.
Own the supply-demand matching process end-to-end in collaboration with Data Center, Hardware Engineering, and Supply Chain teams.
Build and refine capacity models to ensure infrastructure availability.
Oversee hardware lifecycle from procurement through physical installation and software provisioning.
Partner with platform and data center operations teams to bring new capacity online.
Own delivery execution for major milestones including new data center buildout.
Lead a software engineering sub-team that builds and maintains DCIM systems.
Drive automation for rack delivery, decommissioning, and capacity planning tooling.
Oversee cloud spend optimization and on-prem vs. cloud allocation decisions.
Partner with Finance to ensure infrastructure spend is visible, justified, and optimized.

10+ years of experience in infrastructure, data center operations, or related fields.
At least 3 years in a director-level or senior leadership role.
Deep expertise in capacity planning and supply-demand analysis for large-scale infrastructure environments.
Hands-on familiarity with DCIM systems and data center automation.
Experience working across supply chain systems, hardware procurement, and deployment execution.
Proven ability to lead and scale cross-functional teams including software engineers, planners, and operations specialists.
Strong analytical and communication skills.
Experience managing a FinOps function or cloud cost optimization at scale.
Background in hyperscale, colocation, or edge data center environments.