Manager, Field Engineering (Pre-Sales) - Strategic Accounts at Databricks

Databricks

Stockholm, Sweden·1w ago

ManagerFull-timeRustData ScienceAI

Salary Range

$106,080 - $143,520 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Field Engineering Manager to lead a team of technical pre-sales Solutions Architects and Solutions Engineers in Stockholm. This role involves playing a key leadership role at the intersection of technology and business, helping the team design value-focused solutions and support growth through effective collaboration with Sales and other partners.

Key Responsibilities

→Lead, mentor, and develop an inclusive pre-sales team in Stockholm, supporting both performance and long-term career growth.
→Foster a collaborative culture that reflects Databricks’ values of customer focus, teamwork, and diversity of thought.
→Partner with Sales to drive solution- and value-based selling, helping customers understand the business impact of our platform.
→Enhance team effectiveness by establishing and iterating on best practices that improve efficiency and focus on meaningful business outcomes.
→Build trusted relationships with customer executives and strategic partners, acting as a credible advisor on data, analytics, and AI.
→Collaborate across teams—including Marketing, Sales, Product, and Services—to ensure a seamless customer experience and successful implementation.
→Represent Databricks as part of the regional leadership team and contribute to building our brand and presence in Nordic markets.

Requirements

✓Experience managing or leading technical teams in Big Data, Cloud, SaaS, or similarly complex technology environments, or equivalent experience that shows you can quickly learn new technologies.
✓A track record of leading, mentoring, and scaling pre-sales, consulting, or technical field organisations, with an emphasis on coaching and inclusive leadership.
✓Understanding of consumption-based or subscription business models and how technical decisions influence commercial outcomes.
✓Ability to collaborate effectively with Sales and other cross-functional leaders, balancing customer value, technical feasibility, and business priorities.
✓Strong communication and interpersonal skills, with fluency in English and Swedish languages.
✓Technical background in Data Engineering, Databases, Data Science, or adjacent fields; consulting or customer-facing experience is an advantage.
✓Curiosity and passion for data, AI, and cloud technologies, and the ability to articulate their business value in clear, inclusive language.