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Databricks

Senior Engagement Manager, Forward Deployed Engineering

London, United Kingdom
Level
Lead

Not stated in the posting: salary, work type, visa.

Open. First seen 15 October 2026.

Apply on databricks.com →

About the role

The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering (FDE) organisation. You are responsible for the end to end GTM of the FDE and Training organisations, working closely with account teams and customers. You will independently scope complex engagements with multiple workstreams spanning data and AI which will deliver outcomes for our largest customers.

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.
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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.

What this role asks for

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Unity

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57% of this description is written for the role. The rest is Databricks's standard text, folded away below.

Read against Databricks's other open postings on this site.

The team: Professional Services Operations HIRES STEADILY

This role is one of 106 open in Professional Services Operations. 13 were posted in the last 30 days and the oldest in December: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Databricks (106 of 106), Unity (106 of 106), AWS (89 of 106), Azure (88 of 106), Spark (88 of 106), GCP (87 of 106), MLOps (84 of 106)

OTHER ROLES ON THIS TEAM

From the team and dates on Databricks's own job board.

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