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Staff Software Engineer - AI Platform (NYC)

Databricks

New York City, New York, United StatesFull Time$191k–$254k
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Staff Software Engineer - AI Platform (NYC) at Databricks is a full time role based in New York City, New York, United States. The listing states pay of $191k–$254k. It was published on 16 April 2026 and was open at last check.

Staff Software Engineer - AI Platform (NYC) at Databricks — key details
RoleStaff Software Engineer - AI Platform (NYC)
CompanyDatabricks
LocationNew York City, New York, United States
Employment typeFull Time
Pay (as listed)$191k–$254k
Published16 April 2026
StatusOpen at last check

P-1607

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

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.

The impact you'll have:

  • 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, scalable, and extensible solutions that drive user & business growth
  • Lead by example with hands-on full-stack software development 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
  • Define and drive the strategy for building end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant.

What we look for:

  • 10+ years of experience with HTML, CSS, and JavaScript
  • Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback.
  • You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app
  • 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.
  • 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
  • Proven experience building and shipping end-to-end generative AI products
  • Deep familiarity with LLMs and generative AI, including hands-on experience with techniques like retrieval-augmented generation (RAG), prompt design, evaluation, and monitoring AI quality and safety in production.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$190,900 — $253,750 USD

About Databricks

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. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Applicant Privacy Notice

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Staff Software Engineer - AI Platform (NYC) at Databricks — questions answered

What does the Staff Software Engineer - AI Platform (NYC) role at Databricks pay?

The Staff Software Engineer - AI Platform (NYC) at Databricks listing states pay of $191k–$254k for the New York City, New York, United States position. That figure is taken directly from the employer's own posting as published, not estimated or averaged from other roles.

Where is the Staff Software Engineer - AI Platform (NYC) role at Databricks based?

Databricks lists this Staff Software Engineer - AI Platform (NYC) role in New York City, New York, United States, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Databricks before you apply.

Is the Staff Software Engineer - AI Platform (NYC) role at Databricks still open?

The Staff Software Engineer - AI Platform (NYC) posting at Databricks was open at OnJob's last check of the employer's careers page, having been published on 16 April 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.

How do you apply for the Staff Software Engineer - AI Platform (NYC) role at Databricks?

Apply to the Staff Software Engineer - AI Platform (NYC) at Databricks role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile to Databricks's own application page. Creating a profile is free and needs no card.

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