Engineering Manager - Autonomy Storage Infra

About the Role

We are looking for an Engineering Manager to lead our Autonomy Storage Infra team within the Data & Compute org. In this role, you will manage a world class data engineering team responsible for the full data lifecycle - from collection and ingestion to storage, querying, and retrieval - at hundreds of PBs scale.

You will partner closely with all business units across Applied Intuition to define the technical roadmap for our storage infra and ensure we can reliably support both external products and internal tooling across cloud, hybrid, and on-prem deployments. This is a highly cross-functional leadership role that requires deep technical credibility, strong people management skills, and a bias for ownership. At Applied Intuition, engineering managers are expected to be hands-on leaders who actively engage in technical direction, not just people management.

At Applied Intuition, you will:

• Lead, grow, and mentor a team of data infrastructure engineers, fostering a culture of technical excellence, ownership, and collaboration

• Define and drive the technical roadmap for storage infrastructure, balancing short-term delivery with long-term scalability

• Own the architecture and reliability of systems that handle the full data lifecycle across all deployment environments (cloud, hybrid, on-prem) and regions

• Drive engineering decisions around scalable data ingestion, indexing, storage, and retrieval for high-volume autonomous vehicle and physical AI workloads

• Establish and uphold engineering best practices, code quality standards, and operational excellence across the team

• Recruit top engineering talent and build an inclusive, high-performing team

We're looking for someone who has:

• A Bachelor's degree in Computer Science, Software Engineering, or equivalent

• 6+ years of professional software engineering experience, with 2+ years in an engineering management or tech lead role

• Hands-on experience with large-scale open-source data technologies (Spark, Hudi/Iceberg, LanceDB, dbt, etc.)

• A strong track record of leading teams that build and operate high-scale distributed data systems

• Experience managing engineers across the full data lifecycle in a production environment

• Deep understanding of containerization, cloud-native architectures, and modern software development workflows

• Strong cross-functional communication skills and the ability to influence technical direction at a senior level

Nice to have:

• 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

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.