Synced from Greenhouse · Aug 28

Lead Engagement Manager

DatabricksSan Francisco, CaliforniaPosted Aug 28, 2026
Forward Deployed EngineerSenior
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

$179k–$246k
Compensation
870
Other open Databricks roles
Aug 28
Posted
Greenhouse
Applicant system
Job descriptionReq 8423291002

CSQ227R81

The Lead Engagement Manager delivers measurable impact for our Digital Native Business (DNB) customers as well as at the Business Unit (BU) or Regional team level in the Forward Deployed Engineering organization. You will own and independently scope multi-quarter, highly complex initiatives to solve problems with no clear precedent, operating with high autonomy in high-stakes environments.

The impact you will have:

  • Regional Impact: Drive excellence at the BU/Region level, contributing to team-level booking targets and consumption goals.
  • Complex Problem Solving: Navigate complex regional, regulatory, or market-specific complexities across multiple countries.
  • Mentorship: Coach and support junior Engagement Managers, acting as a go-to resource for peers on complex projects.
  • Sales Strategy: Shape account strategy to align with client goals and lead the sales of complex Professional Services & Training (PS&T) offerings.
  • Strategic Relationships: Establish and maintain strategic relationships with senior customer stakeholders across multiple engagements.

What we look for:

  • 10+ years of leadership experience in Professional Services.
  • Expert-level understanding of PS&T offerings and the ability to customize solutions for complex environments.
  • Proficient thought leadership, increasingly viewed as an external expert in the industry.
  • Participate in the hiring process to attract top-tier talent. 
  • Expertise in Databricks architecture, ecosystem, and strategic account planning.
  • Ability to travel up to 25-50% as required.

 

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.

 

Zone 1 Pay Range
$178,800$245,850 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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

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Lead Engagement Manager
Databricks · San Francisco, California
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