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AcryldataAcryldataUnited States

Engineering Manager

Lead a globally distributed team of 10-11 engineers responsible for DataHub's Ingestion platform and 100+ connectors. Own architecture for high-scale metadata ingestion, AI agents for onboarding/troubleshooting, platform reliability, and cross-functional strategy in a fast-growing open-source data/AI company.

Salary not listed
Remote5+ YOEEngineering Management

About the role

What you’ll own

Platform Architecture: Lead the evolution of our ingestion framework to handle high-throughput ingestion of structured and unstructured metadata at enterprise scale. Evolve the Remote Executor platform that lets ingestion run securely in customer environments.

AI-driven time-to-Value: Spearhead the development of intelligent, agent-based solutions. Onboarding agents that speed up new customer ramp, and troubleshooting agents that enable self-service resolution of integration failures.

Cross team Partnership: Work with Product to set the strategy, and with Customer Support, Customer Success and Sales to resolve customer issues and improve stability.

Platform health: Drive down technical debt and invest in developer productivity and long-term reliability.

What success looks like

  • Expanded Reach: A broader, deeper connector ecosystem, built through internal engineering plus community and third-party contributions.
  • Reliability: Fewer failures and faster resolution through proactive investment in platform stability.
  • Execution velocity: Strong delivery without sacrificing team health or morale.

What we’re looking for

  • Proven experience leading engineering teams in data infrastructure, platform, ingestion, or integration-heavy environments.
  • Strong technical depth in distributed systems, cloud infrastructure, and scalable backend architecture.
  • Experience managing globally distributed teams across time zones.
  • Ability to work closely with founders, product, and cross-functional leaders.
  • Comfort balancing strategy, execution, customer issues, and team development.
  • Strong judgment, communication, and ownership.

Bonus if you have

  • Experience with connectors, integrations, ETL, or metadata systems.
  • Background building or scaling developer platforms, SDKs, or remote execution infrastructure.
  • Experience at a fast-growing startup or high-scale data platform company.
  • Familiarity with Python-based ingestion systems and cloud-native execution.

Skills

Distributed SystemsCloud InfrastructureBackend ArchitecturePythonETLMetadata SystemsIntegrationsConnectors
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