Sr. Manager, Field Engineering Qatar&Africa

Databricks
London; Paris, London; Paris, England
On-site

Who this role is best for

Best suited to experienced technical leaders who have managed Big Data or Cloud teams and can align with sales in a hybrid London/Paris setup.

Best fit for

  • Experienced pre-sales leaders with a track record in Big Data or Cloud environments.
    — “Experience managing a team of successful Big Data, Cloud, or SaaS professionals
  • Technical managers capable of mentoring teams in data engineering or science.
    — “Technical or consulting background either in Data Engineering, Database technologies or Data Science
  • Leaders who can drive value-based selling and strategic customer partnerships.
    — “Ensure a solution and value-based selling within the field-engineering organization

Things to consider

  • Must be based in or willing to relocate to London or Paris.
    — “Location for the role is either Paris or London
  • Requires fluency in Italian alongside English for effective communication.
    — “Italian native-speaker and fluent in English

How to stand out

  • Demonstrate specific examples of scaling technical teams in hyper-growth settings.
    — “Build a motivated collaborative culture within a hyper-growth team
  • Highlight experience with consumption-based business models in past roles.
    — “Experience in consumption based business environments
  • Showcase leadership in aligning technical and sales teams for revenue growth.
    — “Ability to partner and collaborate with Sales and other cross-functional leaders
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • hire and grow a pre-sales team
  • build a motivated culture
  • support sales cycles
  • build strategic partnerships
Typical background
managing technical teamscloud and big data experience

Skills & requirements

Required

Team ManagementTechnical Pre-salesSolution ArchitectureCloud And Big DataCommunicationMentoring

Preferred

Italian Language Proficiency

Stack & domain

LeadershipCommunicationBig DataCloudSaas

About the role

Original posting from Databricks

FEQ327R157

As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers across the Qatar & Africa markets. Your experience partnering with the sales organisation will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together. 

You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with important partners in large corporations.

The impact you will have:

Hire, mentor and grow the pre-sales team for the Qatar & Africa markets

Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture

Support increased return on investment of SA involvement in sales cycles

Ensure a solution and value-based selling within the field-engineering organization

Display an understanding of needs and revenue potential for accounts in the assigned region

Engage with key customer executives to build and strengthen strategic partnerships

Ensure close alignment with partners and internal services to secure implementation strategies within accounts

Continue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region

What we look for:

Experience managing a team of successful Big Data, Cloud, or SaaS professionals

Experience in consumption based business environments

Have experience mentoring and scaling technical teams

Success in instituting processes for technical field members to lead efficiency and product focus

Ability to partner and collaborate with Sales and other cross-functional leaders

Passionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions

Technical or consulting background either in Data Engineering, Database technologies or Data Science

Strong communication skills. Italian native-speaker and fluent in English.

Note: Location for the role is either Paris or London (i.e. within commutable distance).

#LI-hybrid

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.

Source: Databricks careers

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