Senior Engagement Manager, Forward Deployed Engineering

Posted 9 Days Ago
Be an Early Applicant
Hiring Remotely in London, Greater London, England, GBR
In-Office or Remote
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Leads go-to-market activities for Forward Deployed Engineering and Training services, independently scoping complex data and AI engagements. Drives full-cycle professional services sales, account expansion, cross-functional alignment, and customer satisfaction. Requires extensive professional services leadership, senior customer-facing experience, knowledge of Databricks architecture and cloud partner programs, large-scale program delivery expertise, and travel of up to 25–50%.
Summary Generated by Built In

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 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.

Skills Required

  • 7–10 years running a Professional Services line of business
  • 10+ years in senior customer-facing roles combining influencing and execution
  • Deep understanding of Professional Services and Training offerings
  • Experience with partner funding programs from Microsoft, AWS, and Google
  • Strong knowledge of Databricks architecture, competitors, and migration benefits
  • Proven track record managing large-scale program plans and service delivery
  • Ability to travel up to 25–50% as required

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Healthcare Strength — Healthcare coverage is described as comprehensive, including medical, dental, and vision for employees and dependents, plus dedicated mental-health resources and an EAP. Wellness and gym reimbursements further support wellbeing.
  • Equity Value & Accessibility — Equity grants (RSUs/stock options) are highlighted as a major part of compensation and are often viewed as attractive. Occasional tender-offer liquidity and performance bonuses reinforce total rewards.
  • Parental & Family Support — Paid parental leave, fertility benefits, and subsidized backup dependent care are emphasized. Family medical leave and caregiver support also feature in the package.

Databricks Insights

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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