Senior Engineering Manager, Learning AI Platform

Neon; Mountain View (CA); On-site; USD 222,000 - 300,000; Full time

Job summary

Databricks is seeking a Senior Engineering Manager for the Self-Serve Learning team to lead end-to-end product development from self-paced learning to enterprise-managed learning. You will guide a team of engineers, drive AI-enabled content generation and an interactive learning engine, and scale to millions of learners while aligning with partnerships across R&D, marketing, and field engineering.

The role emphasizes strategy, execution, and engineering excellence in a fast-growing, product-led

Qualifications

• 15+ years of software engineering experience with a strong track record of technical leadership and impact.
• 5+ years of engineering management experience, including 2+ years managing other managers (or clear readiness to).
• Technical depth as a Staff-level IC with full-stack capabilities (backend and frontend).
• Experience scaling engineering teams from 10 to 30+ engineers.
• Track record building consumer-facing products, from 0→1 through scale.
• Genuine excitement for product-led growth and deploying AI in a real product.
• Experience designing scalable, distributed, customer-facing SaaS systems.
• Strong collaboration to align technical strategy with growth objectives.

Responsibilities

• Define and drive the technical and product strategy for Learning, connected to the self-serve growth motion.
• Own the roadmap, execution, and delivery—from 0→1 to millions of learners with high quality.
• Establish team best practices, design reviews, code quality, testing, and performance for high-scale systems.
• Partner with R&D, Learning & Enablement, Marketing, and Field Engineering to align product with learner needs.

Skills

Leadership experience

Full-stack engineering

Distributed systems

Scaling teams

SaaS experience

Product-led growth

Job description

Databricks is seeking a Senior Engineering Manager for the Self-Serve Learning team to lead end-to-end product development from self-paced learning to enterprise-managed learning. You will guide a team of engineers, drive AI-enabled content generation and an interactive learning engine, and scale to millions of learners while aligning with partnerships across R&D, marketing, and field engineering.

The role emphasizes strategy, execution, and engineering excellence in a fast-growing, product-led