Databricks

Sr. Engagement Manager, Forward Deployed Engineering - LATAM

Mexico full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

CSQ327R29

The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering organization to account teams and customers in Latin America (LATAM) 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.

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.

Interview prep

Walk in with sharper answers.

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Mid
Technology & IT Data Analysis Sales Sr. Engagement Manager Mid level

Likely questions

  1. Tell us about work you have done that is close to the Sr. Engagement Manager, Forward Deployed Engineering - LATAM role.
  2. How would you approach your first 30 days at Databricks?
  3. Which of Data Analysis, Sales and Sr. have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Sales and Sr..
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Sr. Engagement Manager, Forward Deployed Engineering - LATAM role because I can bring practical experience in Data Analysis, Sales and Sr., learn the team quickly, and contribute to the outcomes Databricks needs from this hire.

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