# Staff Software Engineer - Customer Engagement & Docs Platform at Databricks > United States · Staff · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Adatabricks%3A8032546002 (read 2026-11-05). ## Facts (observed) - Company: [Databricks](https://alderhq.app/companies/databricks) - Location text: San Francisco, California; San Francisco, California - Where it can be done from (inferred): United States (evidence: "Location: San Francisco, California; San Francisco, California") - Posted: 2025-06-10 (512 days ago) - First seen by alder: 2026-11-03 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://databricks.com/company/careers/open-positions/job?gh_jid=8032546002 - Skills listed (inferred): LLMs, Distributed systems ## Pay and sponsorship - Posted pay: $190k–$260k per year (from the listing's pay field) - Market band for similar posted roles (SF Bay Area, n 851): p25 $206k, median $240k, p75 $281k - H-1B filings at this company for similar roles, FY26: 356, median offered wage $157k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) - Recognised sponsor (NL): registered as "Databricks" (checked 2026-11-03, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants)) - Licensed UK sponsor: registered as "Databricks UK Limited" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers)) ## Description (the employer's text) ### Who we are 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 tackle 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. Our AI-powered Assistant serves as the initial point of contact for customers seeking assistance on how to use our platform effectively. The Customer Engagement and Docs platform team's objective is to help customers resolve their problems faster using AI / LLMs. We provide customers with precise and comprehensive solutions to their problems or build experiences to facilitate a seamless escalation to a support agent when necessary. As a Staff Engineer, you will operate at the intersection of Product development and Machine Learning. Responsibilities include gaining a deep understanding of user behavior; identifying factors contributing to problems; leveraging Product, Machine Learning (ML) and Large Language Models (LLMs) to analyze intricate technical use cases within a secure enterprise environment and eventually providing a path to resolving them. ### The impact you will have - Lead design, development, and deployment of systems for Evaluation, Answer retrieval and Quality improvement for helping customers. - Lead architectural decisions to ensure performance, reliability, and accuracy of the knowledge systems. - Drive best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations. - Deliver high-quality, production-ready code and services end-to-end — including performance tuning, resiliency improvements, and debugging in live environments. - Contribute to longer-term technical planning and support strategic initiatives in Assistant and Support organizations. ### What we look for - 6+ years of industry experience building and operating large-scale distributed systems. - Demonstrated technical proficiency in machine learning and software engineering, coupled with a strong product-oriented approach. - The capacity to define and structure solutions in ambiguous problem domains. - Ability to mentor and guide junior engineers, as well as to effectively collaborate across various team boundaries. - Track record of driving high-impact, technically complex initiatives that delivered clear customer or business value. - Prior experience with retrieval systems and search technologies is a plus. ### 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 $190,000—$260,000 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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Adatabricks%3A8032546002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.