refresh

트렌딩 기업

트렌딩

채용

JobsDatabricks

Manager, Field Engineering (Pre-Sales) - Nordics Geo

Databricks

Manager, Field Engineering (Pre-Sales) - Nordics Geo

Databricks

Stockholm, Sweden

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Comprehensive health benefits

Team incentive trips

Competitive base salary plus commission

President's Club recognition

Required Skills

Outreach

HubSpot

Gong

(FEQ427R169)

As a Field Engineering Manager for the Nordics Geo territory, you will lead a diverse team of technical pre-sales Solutions Architects and Engineers across the region. You’ll play a key leadership role at the intersection of technology and business—guiding your team to design impactful solutions and drive growth through collaboration and innovation.

You’ll empower your team to communicate complex ideas with clarity, support strategic customer engagements, and build lasting partnerships with clients and internal stakeholders.

The impact you will have:

  • Lead, mentor, and support a high-performing, inclusive pre-sales team across the Nordics.

  • Foster an environment of belonging, continuous learning, and psychological safety that reflects Databricks’ values of customer focus, teamwork, and diversity.

  • Work closely with Sales and other teams to identify opportunities and deliver data-driven, value-focused solutions.

  • Establish best practices that improve team efficiency, collaboration, and business impact.

  • Build trusted relationships with customers and partners, acting as a strategic advisor in their digital transformation journey.

  • Partner with Marketing, Sales, Services, and other cross-functional teams to ensure a seamless customer experience.

  • Represent Databricks as part of the regional leadership team, contributing to our local presence and inclusive culture.

What we’re looking for:

You do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply.

  • Proven experience leading or managing technical teams in Big Data, Cloud, or SaaS environments—or equivalent experience gained through hands-on engineering or consulting work.

  • A track record of coaching and developing diverse, high-performing teams.

  • Strong collaboration skills and the ability to partner effectively with Sales, Marketing, and other cross-functional leaders.

  • Excellent communication and interpersonal skills; professional proficiency in English (knowledge of any Nordic language is a plus, but not a hard requirement).

  • Technical background in Data Engineering, Databases, or Data Science (consulting or customer-facing experience preferred).

  • Enthusiasm for data, AI, and cloud technologies, and the ability to connect these to real business outcomes.

Notes:

  • This role is based in Stockholm, within a reasonable commuting distance, and follows a hybrid working model.

  • If you need any adjustments or accommodations during the application or interview process, please let us know so we can support you.

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, 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.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Databricks

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+

Employees

San Francisco

Headquarters

$43B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

3.5

Compensation

4.7

Culture

4.3

Career

4.5

Management

4.0

86%

Recommend to a Friend

Pros

Working on industry-leading data and AI platform

Excellent compensation with high equity upside

Strong engineering culture with Apache Spark creators

Cons

High intensity work environment with demanding deadlines

Work-life balance can suffer during key releases

Growing pains as company scales rapidly

Salary Ranges

25 data points

Mid/L4

Senior/L5

Mid/L4 · Corporate Development Manager

1 reports

$171,004

total / year

Base

$148,699

Stock

-

Bonus

-

$171,004

$171,004

Interview Experience

9 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

22%

Experience

Positive 22%

Neutral 67%

Negative 11%

Interview Process

1

Application Review

2

Recruiter/Phone Screen

3

Technical Interview/Coding Round

4

System Design Interview

5

Behavioral Interview

6

Final Round/Hiring Manager Interview

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge