Databricks is recruiting a Sr. Manager, AI Forward Deployed Engineering (AI FDE) to join the team in florida. The job is full-time and office based. Pay for this role is set at $232,900 to $320,200 a year, according to the posting.
Databricks describes the job as follows.
The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements that help customers build and productionize first-of-its-kind GenAI applications, and we work cross-functionally with AI Product, Research, and Engineering to shape long-term strategic priorities.
We are looking for a world-class leader to lead and grow our AI FDE team. In this role, you will lead customers on their AI transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key accounts. Candidates should expect to travel at least once a month.
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
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 $232,900 to $320,200 USD
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.
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.
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.
Databricks advertises $232,900 to $320,200 a year for this role.
No, it is an on-site job in florida.
The posting mentions that it is open to entry-level applicants, a bachelor's degree or equivalent and skills such as AWS, Azure, GCP and Machine Learning. Read the full description above for the complete list.
Use the apply button on this page. It takes you to Databricks's own application form, so your CV goes directly to their hiring team.
Databricks published the role on September 11, 2026. We check the employer's job board every day and take this page down when the role closes, so if you can read it, the job was still listed at our last check.
Source: Databricks careers page (databricks.com). Applications go straight to the employer. We check the listing daily and remove it once it closes.
Databricks publishes its open roles on its own careers board. This page collects the Databricks jobs that are live right now. Each listing links to Databricks' application form, and we remove a listing once the employer closes it.
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