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Hiring now · posted 169d ago General Full-time · Remote

Sr. Engagement Manager, FDE - LATAM

at Databricks

Pay not published

The rate is shared during the application.

Remote · Mexico Language: English Posted 11 May 2026

About this role

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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.

This is a remote role. Applicants must be located in: Mexico.

How applying works

  1. Click Apply now and enter your email.
  2. You go straight to the application. We email you a copy of this role and your link.
  3. You apply on Databricks's own careers page. Zekai is not the employer and never charges you.
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What to know before you apply

Location
Only applicants located in Mexico can be paid for this role. Platforms usually verify where you are, so apply only if you are based there.
Credentials
The listing asks for an active professional licence, 10+ years of experience. Put it in the first line of your profile: reviewers screen for it before anything else.
How to stand out for data scientists
  • Mirror the job's own wording in your CV: reviewers and screening tools look for the skills listed above.
  • Show real work: a portfolio, GitHub, case study or numbers from past projects beats a long list of duties.
  • Show how you already use AI tools in your work. AI companies hire people who use their products well.
  • Apply early and follow up once, politely, if you hear nothing in two weeks.
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Sr. Engagement Manager, FDE - LATAM
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