Staff Software Engineer - AI Product (nyc)

Databricks Databricks · Data AI · San Francisco, CA · Engineering - Pipeline

Staff Software Engineer focused on building new, 0-to-1 generative AI products and interfaces for GenAI agents that manage complex workflows, leveraging Databricks' data and AI platform. The role involves full-stack development, leading best practices, and collaborating across teams to deliver intuitive, scalable, and extensible AI solutions for both technical and business users.

What you'd actually do

  1. Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency
  2. Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth
  3. Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences
  4. Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities
  5. Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers

Skills

Required

  • 10+ years of experience with HTML, CSS, and JavaScript
  • Demonstrated product mindset
  • Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)
  • 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go)
  • Proven experience building and shipping end-to-end generative AI products, ideally with a significant UI/UX component
  • Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value

Nice to have

  • AI features feel intuitive, trustworthy, and helpful
  • 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

What the JD emphasized

  • 0-to-1 environment
  • High ownership and bias for action in 0→1 environments

Other signals

  • building new products from the ground up
  • 0-to-1 environment
  • leveraging the power of Databricks in data & AI to deliver vertical AI applications
  • creating novel, never-seen-before interfaces for GenAI agents that manage complex workflows
  • building and shipping end-to-end generative AI products, ideally with a significant UI/UX component