Director of Engineering, Organizations & Cells

Responsibilities

• Deliver the Cells and Organizations roadmap, including cell provisioning and lifecycle, routing and topology, organization data migration tooling, and platform feature parity.
• Execute cohort-based customer Organization migrations onto cells with zero data loss, verified rollback, and no downtime outside the tenant in flight.
• Shape a multi-cloud, multi-region cell footprint and decide what remains cell-local versus what crosses boundaries.
• Build and lead the engineering organization by hiring, leveling, and developing managers and senior individual contributors across several teams.
• Set the technical bar and operating cadence.
• Drive commitments and sequencing with peer engineering leaders, Product, Infrastructure, and Security across time zones and asynchronously.

Success Measures

• Customer Organizations running on cells in production, migrated cleanly and on schedule.
• Availability and latency improvements from isolation and load distribution.
• Infrastructure cost per unit of capacity declining as the footprint grows.
• Throughput and retention of the teams built.

Requirements

• Experience leading multiple teams through managers, roughly 25–60 engineers, including hiring and developing managers.
• Track record of shipping multi-quarter infrastructure programs with hard external dependencies.
• Ability to operate as a peer to VPs and staff-plus engineers, make architectural decisions on technical merit, and adapt based on evidence.
• Strong written communication for a remote, asynchronous work environment.
• Experience building and operating large-scale distributed systems in production, such as multi-tenant SaaS, sharded or cell-based architectures, control planes, or data platforms at comparable scale.
• Working fluency in relational database scaling, including partitioning, sharding, replication, large-scale data migration, and request routing.
• Operational experience with incident command, capacity planning, and blast-radius containment.
• Deep cloud infrastructure experience with at least one major provider, ideally more than one.
• Understanding of how agentic access patterns affect platform read volume, concurrency, and authorization models.
• Experience using AI tooling in engineering practice and raising its adoption across a team.

Benefits

• Flexible paid time off
• Team member resource groups
• Equity compensation and employee stock purchase plan
• Growth and development fund
• Parental leave