Engineering Manager (Autonomy Storage Infrastructure)

Join Applied Intuition as an Engineering Manager for the Autonomy Storage Infrastructure team. In this cross-functional leadership role, you will manage a world-class data engineering team responsible for the full data lifecycle at a massive scale. You will define the technical roadmap for our storage infrastructure, own the architecture and reliability of systems, and establish engineering best practices. The ideal candidate has hands-on experience with large-scale open-source data technologies, strong cross-functional communication skills, and a track record of leading teams that build and operate high-scale distributed data systems.

• Lead and manage a world-class data engineering team responsible for the full data lifecycle, from collection and ingestion to storage, querying, and retrieval.
• Define and drive the technical roadmap for storage infrastructure, balancing short-term delivery with long-term scalability, and own the architecture and reliability of systems.
• Establish and uphold engineering best practices, code quality standards, and operational excellence across the team, while recruiting top engineering talent.

• Hands-on experience with large-scale open-source data technologies (Spark, Hudi/Iceberg, LanceDB, dbt, etc.)
• Strong cross-functional communication skills and the ability to influence technical direction at a senior level
• Experience managing engineers across the full data lifecycle in a production environment
• 6+ years of professional software engineering experience, with 2+ years in an engineering management or tech lead role
• A Bachelor's degree in Computer Science, Software Engineering, or equivalent
• Deep understanding of containerization, cloud-native architectures, and modern software development workflows
• A strong track record of leading teams that build and operate high-scale distributed data systems
• Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles
• Multi-cloud (GCP, AWS, Azure) or multi-region data platforms, including data-residency requirements
• Streaming and change data capture technologies such as Kafka, Pub/Sub, Flink, or Debezium, ideally including running them at high scale
• Familiarity with data quality, data profiling, and data governance frameworks
• Building and operating observability or monitoring for data systems at scale
• Working in high-growth environments where data infrastructure had to evolve rapidly to keep pace with the business
• Prior exposure to automotive, defense, robotics, or other physical AI domains