医疗与生命科学 - 前沿部署工程 首席客户参与经理

CSQ227R171

The Lead Engagement Manager delivers measurable impact for our Healthcare & Life Sciences 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.

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.

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base 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 anticipated 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

Zone 2 Pay Range $161,000 — $221,300 USD

Zone 3 Pay Range $152,000 — $209,000 USD

Zone 4 Pay Range $143,000 — $196,700 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 .