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Director, Field Engineering

Databricks

Director, Field Engineering

Databricks

Paris, France

·

On-site

·

Full-time

·

2mo ago

복지 및 혜택

Healthcare

Flexible Hours

Learning

Parental Leave

필수 스킬

Python

PostgreSQL

JavaScript

FEQ426R195
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
We are looking for a Director, Field Engineering in the Middle East & Africa to join our world-class hyper-growth organisation. In this role, you will lead first-line Managers and teams of pre-sales Solutions Architects focusing on complex accounts, helping to drive our expansion in the Middle East & Africa across the financial services, manufacturing, energy, public sector, healthcare and life sciences, retail and consumer goods, communications, media and entertainment business.

  • Your experience in partnering with sales organisations will help to grow consumption, whilst coaching new sales and pre-sales team members to work together and raise the bar to best in class. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations. This role will report to the AVP, Field Engineering
  • EMEA South.
    The impact you will have:

Hire and manage first line Managers and a growing team of technical pre-sales Solutions Architects
Build a collaborative culture within a rapid-growth team to embody and promote Databricks' customer-obsessed, teamwork and diverse culture
Support our growing consumption business focusing on customer value and supporting your SA team in this motion
Support increased return on investment of Solutions Architect involvement in sales cycles
Create trust-based relationships with customers for the long term and understand category-specific landscapes and trends, reporting on the forces that shift the strategic direction of accounts
Promote a solution and value-based selling field-engineering organisation
Display an understanding of business needs and revenue potential for accounts in the assigned region
Build Databricks' brand in the Middle East & Africa in partnership with the Marketing and Sales team

What we look for:

5+ years of second-line leadership experience, manager of managers with teams of 20+ individuals
Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience of the EMEA region
Ability to elevate the engagement with a track record of driving large transactions and high growth customers
Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach
Proven track record of transformational success and delivery of customer value
Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing)
Experience in complex strategic accounts generating +$1M ARR
Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
Great at instituting processes for technical field members to improve efficiency
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience

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.

BenefitsAt 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, please visit https://www.mybenefitsnow.com/databricks.

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.

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모의 지원자 수

0

스크랩

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Databricks 소개

Databricks

Databricks

Series I

Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.

6,000+

직원 수

San Francisco

본사 위치

$43B

기업 가치

리뷰

3.8

10개 리뷰

워라밸

2.8

보상

4.0

문화

4.2

커리어

3.5

경영진

4.0

72%

친구에게 추천

장점

Innovative technology and cutting-edge projects

Supportive and collaborative team environment

Good benefits and competitive compensation

단점

Poor work-life balance and long hours

High pressure and stressful environment

Heavy workload and overtime requirements

연봉 정보

34개 데이터

Mid/L4

Senior/L5

Mid/L4 · Corporate Development Manager

1개 리포트

$171,004

총 연봉

기본급

$148,699

주식

-

보너스

-

$171,004

$171,004

면접 경험

6개 면접

난이도

3.2

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 83%

부정 17%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Onsite/Virtual Interviews

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge