About the company
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.
Responsibilities
- Define the technical roadmap for the web platform: component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling, built AI-native from the start.
- Influence technical leaders across the organization on shared architectural decisions and contribute to the broader north star for AI-native engineering at Databricks.
- Pioneer an AI-native SDLC by applying agentic unlocks across code generation, testing, review, deployment, and production monitoring.
- Define the evaluation frameworks, guardrails, and feedback loops that make agentic workflows reliable and production-grade.
- Mentor and grow engineers on the team, setting the standard for what AI-native thinking and execution looks like in practice.
Requirements
- 12+ years of software engineering experience, with a strong track record of technical leadership and impact.
- 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team.
- Proven track record as a technical leader of a web platform, with direct ownership across design systems, rendering frameworks, and understanding of edge delivery, CI/CD and infrastructure.
- Deep hands-on expertise across the full web stack like React, TypeScript, Node.js.
- Demonstrated ability to make and execute multi-layer architectural decisions on a live production platform.
- Experience sequencing and executing frontend framework migrations without disrupting production.
- A clear point of view on AI-native software development and a track record of building toward it.
- Familiarity with agentic systems or LLM-powered tooling is a strong plus.
- Strong ability to influence technical leaders and drive alignment across engineering and business stakeholders.
- History of driving technical transformation with rigor and execution discipline: stack consolidation, or platform-level standards adoption at scale.
Conditions
- Pay range: $198,200 — $272,600 USD.
- Total compensation may include annual performance bonus, equity, and benefits.