Staff Software Engineer - Frontend (NYC)

Databricks
NYC2026-01-21

About the job

As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.

Responsibilities

Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency

Partner closely with product management, design and other engineering teams to build intuitive and extensible products that drive user & business growth

Lead by example with hands-on front-end and full-stack software development while working with customers directly to create dynamic, user-centric experiences

Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities

Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers

Qualifications

Minimum

10 years of experience with HTML, CSS, and JavaScript or similar technologies

Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback.

High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption.

Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.

Preferred

Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)

Familiarity with server-side web technologies (eg Node.js or similar), SQL and Spark