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31 Databricks Human Resources Jobs Hiring Near You

Databricks

Staff Product Designer, AI Products

New York, NY · On-site

$166K - $229K/yr

... the resources of a tech leader like Databricks. The impact you will have * Drive key product and ... A bachelor's or master's degree in design, computer science, human-computer interaction, or related ...

Databricks

Staff Data Scientist

San Francisco, CA · On-site

$192K - $260K/yr

P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the ...

Databricks

Sr. Manager, Payroll

San Francisco, CA · On-site

Databricks is looking for a Senior Manager, Payroll to own end-to-end payroll delivery for the ... Partner with HRIS and IT on system upgrades, open enrolment changes, and configuration changes ...

Databricks

Sr. Manager, Payroll

San Francisco, CA · On-site

Databricks is looking for a Senior Manager, Payroll to own end-to-end payroll delivery for the ... Partner with HRIS and IT on system upgrades, open enrolment changes, and configuration changes ...

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Databricks Jobs Information

What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.
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Infographic showing various Human Resources job openings at Databricks in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, and 6% Remote job distribution.
Staff Fullstack Engineer, Agentic Applications

Staff Fullstack Engineer, Agentic Applications

Databricks

Mountain View, CA • On-site

Other

Posted 4 days ago

Job description

P-1477

Databricks is transforming how it builds and operates People Technology - moving from traditional SaaS configuration toward an AI-native, agentic stack. You'll be the technical anchor of the People Tech pod, driving the architectural shift from workflow automation to autonomous, multi-agent systems that power HR, recruiting, workforce analytics, and employee experience at scale. This is a rare opportunity to reimagine a critical enterprise domain from the ground up using the very data and AI platform Databricks sells to the world.

What you'll do

  • Architect and build agentic systems that automate and augment People Tech workflows - onboarding, offboarding, comp analysis, policy Q&A, HR service delivery - using LLM orchestration frameworks (LangGraph, AutoGen, or equivalent).
  • Define the agentic platform strategy for the pod: agent design patterns, tool-calling conventions, retrieval-augmented pipelines, evaluation frameworks, and human-in-the-loop guardrails.
  • Integrate People Tech systems (Workday, Greenhouse, ADP etc.) as agent-accessible tools and data sources via Databricks Unity Catalog and MCP-style interfaces.
  • Set the technical bar for the pod - reviewing designs, establishing engineering standards, and leading architectural reviews across the People Tech roadmap.
  • Influence peers and stakeholders: translate agentic capability into business outcomes for People, Legal, and Finance partners, and mentor engineers in the pod on AI-first thinking.

What we're looking for

  • 8+ years of software engineering experience, with at least 2 years building production LLM or agentic applications (agents, RAG pipelines, tool-use, multi-agent orchestration).
  • Deep fluency in Python and experience with agentic frameworks - LangChain/LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.
  • Strong command of enterprise integration patterns: REST/GraphQL APIs, event-driven architecture, and connecting SaaS HR/HCM platforms programmatically.
  • Experience with data platforms - Databricks, Spark, or equivalent - and building AI applications on top of lakehouse or warehouse architectures.
  • Track record as a technical lead: driving architectural decisions, writing RFCs, and raising the quality bar across a team without relying on management authority.

Nice to have

  • Prior experience in People Tech, HR tech, or internal tooling domains.
  • Familiarity with Workday, Greenhouse or similar enterprise HR platforms - especially via API or integration layer.
  • Experience evaluating and red-teaming LLM agents for safety, reliability, and correctness in sensitive business contexts.

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