About The Position

DigitalOcean is seeking a Senior Director of Engineering to lead its Managed PostgreSQL organization. This leader will be responsible for the strategy, architecture, reliability, scalability, and long-term evolution of their PostgreSQL offerings and next-generation capabilities for AI-native applications. The ideal candidate will combine product vision with technical expertise in distributed systems and database management operations. The goal is to make DigitalOcean Managed PostgreSQL a trusted solution for mission-critical workloads today and an essential platform for AI builders tomorrow.

Requirements

  • 15+ years of engineering experience, including significant leadership of cloud infrastructure, database, storage, distributed systems, or data platform organizations.
  • 6+ years managing managers and leading multi-team engineering organizations.
  • Proven experience operating customer-facing, high-availability production services with strict reliability, durability, and incident-management expectations.
  • Strong distributed systems foundation: replication, consensus, failure detection, failover, consistency, partitioning, control planes, fleet automation, and multi-tenant operations.
  • Experience with database systems, managed database services, storage engines, query performance, backup/restore, high availability, or large-scale stateful infrastructure.
  • Demonstrated ability to define multi-quarter technical strategy and convert it into shipped customer value.
  • Strong customer judgment: ability to understand enterprise-grade workload requirements and separate real customer needs from noisy feature requests.
  • Executive communication skills; able to represent the business and technical strategy to senior leadership, customers, partners, and GTM teams.

Nice To Haves

  • Deep PostgreSQL experience, especially operating PostgreSQL at scale.
  • Experience with RDS/Aurora, AlloyDB, Cloud SQL, Azure Database for PostgreSQL, Neon, Crunchy, EDB, Yugabyte, Citus, Timescale, Supabase, or similar PostgreSQL ecosystems.
  • Experience building or operating HA architectures using proxies, connection poolers, consensus systems, automated primary election, online upgrades, and backup/restore pipelines.
  • Familiarity with pgvector, pgvectorscale, hybrid search, RAG architectures, AI application data patterns, and agent memory/state systems.
  • Experience scaling databases beyond single-node limits through read scaling, sharding, distributed SQL, storage/compute separation, or workload-aware architecture.
  • Experience partnering with product and GTM teams to turn platform capabilities into compelling commercial offerings.
  • Open-source credibility or strong familiarity with the PostgreSQL ecosystem.

Responsibilities

  • Own Managed PostgreSQL end-to-end, overseeing all PostgreSQL editions, including availability, scalability, security, and long-term architecture.
  • Build hyperscaler-grade reliability and operational excellence, establishing tier-0 reliability standards and executing against SLIs/SLOs for failover, backups, and query performance.
  • Scale Advanced Edition into a production-grade platform with HA architecture, consensus-based failover, and fast restore capabilities.
  • Support large-scale workloads (up to 64 TB) with storage scaling, read-only nodes, and query insights.
  • Define the AI-native PostgreSQL strategy, integrating PostgreSQL with AI workflows via pgvector, metadata stores, and agent memory.
  • Build and scale a high-performing global engineering organization with strong accountability and technical review mechanisms.
  • Translate customer needs, competitive gaps, and market shifts into a coherent engineering roadmap.
  • Work closely with Product and GTM teams to define packaging, migration, enterprise readiness, roadmap sequencing, launch quality, and customer adoption.
  • Raise the technical bar by being credible in architecture discussions, challenging designs, evaluating tradeoffs, simplifying complexity, and preventing reliability debt.

Benefits

  • Competitive array of benefits
  • Employee Assistance Program
  • Local Employee Meetups
  • Flexible time off policy
  • Reimbursement for relevant conferences, training, and education
  • Access to LinkedIn Learning's 10,000+ courses
  • Bonus in addition to base salary
  • Equity compensation
  • Employee Stock Purchase Program
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