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Sr. Manager, Field Engineering Qatar & Africa

Hybrid in London·Added 6 days ago (last checked 8 Oct)

Databricks

53 open roles

Overview

Job details

  • Hybrid

    Office and home days — the ad has the split.

Requirements

  • Be near London for hybrid days

    No relocation package mentioned.

  • Have senior-level experience

    Senior-level role.

Skills

Requirements

What we're looking 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.

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

The role

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:

What you'll do

  • 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:

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.

About Databricks

Industry
Data Platform
Founded
2013
Employees
5,000–10,000
Headquarters
San Francisco, USA

In their own words

About the company & team

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.

Additional information

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.

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