Sr. Engagement Manager, FDE - Financial Services

Sr. Engagement Manager, FDE - Financial Services at Databricks scores 20 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Remote (Northeast - United States)senior$145k-$199k

AI in this role

Lead complex professional services and customer engagement programs for financial services clients leveraging Databricks architecture.

awsazuregcp

account-managementsalesprofessional-servicesstrategy

CSQ227R220

The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering organization to account teams and customers in the Financial Services sector for successful implementation and value realization. You will independently lead large, complex, cross-functional programs with minimal oversight, navigating ambiguous scenarios to drive significant impact on your assigned accounts.

The impact you will have:

Strategic Leadership: Independently scope and lead large, complex initiatives with multiple workstreams and diverse stakeholders.
Advanced Selling: Drive the full-cycle sales of standard and customized Professional Services & Training (PS&T) programs, pulling in best practices for Centers of Excellence (CoEs) and migrations.
Account Growth: Identify and pursue upsell and cross-sell opportunities within existing customers to meet or exceed revenue targets.
Cross-Functional Alignment: Partner with Sales and GTM teams to prioritize regional PS&T targets aligned with growth goals.
Customer Sentiment: Proactively monitor customer sentiment and take corrective actions or escalate to ensure high satisfaction.

What we look for:

7-10 years running a Professional Services line of business.
10+ years in senior customer-facing roles with a mix of influencing and execution.
Deep understanding of PS&T offerings, including Partner funding programs (Microsoft, AWS, Google).
Strong knowledge of Databricks architecture, competitors, and migration benefits.
Proven track record of managing large-scale program plans and service delivery.
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 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$144,800—$199,100 USDZone 2 Pay Range$130,300—$179,200 USDZone 3 Pay Range$123,100—$169,300 USDZone 4 Pay Range$115,800—$159,300 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.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Account ManagementSalesProfessional ServicesStrategyAwsAzureGcp

Questions you could be asked

Tell me about a project where account management was part of your work. What did you do?
Tell me about a project where sales was part of your work. What did you do?
Tell me about a project where professional services was part of your work. What did you do?
Tell me about a project where strategy was part of your work. What did you do?
Walk me through how you've used Aws in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Account Management, Sales, Professional Services, Strategy, and Aws. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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