Databricks

Staff Software Engineer - AI Product (NYC)

Databricks
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6 months ago

Base Salary

$191k - $254k/yr

Responsibilities

  • Create novel, inspectable, and transparent interfaces for GenAI agents managing complex workflows.
  • Partner with product management, design, and engineering teams to build intuitive, scalable, and extensible solutions.
  • Lead by example through hands-on full-stack software development of dynamic, user-centric experiences.
  • Develop onboarding and sharing capabilities that support product-led growth.
  • Help define the future of agentic applications through cross-functional collaboration.
  • Establish best practices for building valuable AI products across the team and Databricks.

Requirements

  • 10+ years of experience with HTML, CSS, and JavaScript.
  • Product mindset with the ability to translate ambiguous customer problems into MVPs and iterate using data and user feedback.
  • Ability to build trustworthy, intuitive AI features and operate with high ownership in 0-to-1 environments.
  • Strong collaboration skills across product, engineering, and design teams.
  • Experience with modern JavaScript frameworks such as React, Angular, VueJs, or Ember.
  • 10+ years of experience with server-side web technologies such as Node.js, Java, Python, Scala, C#, C++, or Go.
  • Proven experience building and shipping end-to-end generative AI products, ideally with significant UI/UX involvement.
  • Experience connecting abstract modeling and analysis tasks with business value through deep product and business knowledge.

Benefits

  • Comprehensive benefits and perks are offered, with details varying by region.
  • The role is based in Databricks' NYC Engineering office.

Tech Stack

AngularC#C++CSSEmber.jsGoHTMLJavaJavaScriptNode.jsPythonReactScalaVue.js
Databricks

About Databricks

10,000+ employees

Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.

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