Head of Data Platform & AI Infra

Lila Sciences, Inc.; San Francisco (CA); On-site; USD 300,000 - 390,000; Full time

Job summary

Lila Sciences, Inc. is seeking an engineering leader to own and drive the data platform and infrastructure end-to-end, including architecture, delivery, reliability, and developer experience.

You will build and guide a 30–40 person data engineering team, shape the technical roadmap, and collaborate with data scientists, engineers, and product teams to deliver scalable data processing solutions. The role emphasizes leadership and hands-on coding with Python, Kubernetes, and cloud primitives, with

Qualifications

• 12+ years of software development experience, with a focus on data processing at scale.
• 5+ years of experience leading senior engineers.
• Hands-on coding in Python and modern backend frameworks.
• Experience with infrastructure-as-code and containerized deployments (Kubernetes).
• BS, MS, or Ph.D. in Computer Science or a related field.

Responsibilities

• Build and lead a team of 30-40 data engineering experts; define and execute the data platform roadmap.
• Ensure reliability, availability, and security of data processing infrastructure; collaborate with data scientists and product teams.
• Represent Lila’s data platform work at external conferences; deliver presentations and write blog posts.

Job description

Lila Sciences, Inc. is seeking an engineering leader to own and drive the data platform and infrastructure end-to-end, including architecture, delivery, reliability, and developer experience.

You will build and guide a 30–40 person data engineering team, shape the technical roadmap, and collaborate with data scientists, engineers, and product teams to deliver scalable data processing solutions. The role emphasizes leadership and hands-on coding with Python, Kubernetes, and cloud primitives, with