Databricks

Technology

SeniorManager,FieldEngineering-Lakebase

€135–195k ~AI est. Amsterdam, North Holland, Netherlands Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Senior Manager, Field Engineering - Lakebase at Databricks. Skills: Field Engineering, Lakebase, Pre-sales leadership, Solutions Architecture. Lead specialized team of pre-sales Solutions Architects. Engage with complex, strategic accounts”

What You'll Achieve.

Grow consumption; Drive technical adoption; Drive consumption; Increase ROI of SA involvement; Build Databricks Lakebase brand

Industry & Context.

Technology
Eligibility Requirements

Up to 30% travel

What They're Looking For.

Must Have

5+ years leadership experience, 7+ individuals team management, 20+ individuals team management, High-growth enterprise software pre-sales success, Transactional (OLTP) database technologies experience, Data warehousing experience, Cloud infrastructure experience, Data platforms experience, AI solutions experience, Elevate executive engagement, Drive large consumption, Drive high-growth customers, Influence team to achieve objectives, Develop team to achieve objectives, Empower team to achieve objectives, Transformational success delivery, Customer value delivery, Build strategic customer relationships, Build cross-functional partnerships, Experience in complex strategic accounts, $1M+ ARR account experience, Knowledgeable in data-driven decisions, Knowledgeable in AI, Knowledgeable in cloud software models, Knowledgeable in operational data systems, Knowledgeable in modern database architectures, Institute processes for technical field members, Bachelor's degree in Computer Science, Bachelor's degree in Information Systems, Bachelor's degree in Engineering, Equivalent experience through work experience

Nice to Have

First-line leadership experience, Second-line leadership experience, Experience in transactional (OLTP) database technologies, Experience in data warehousing, Experience in cloud infrastructure, Experience in data platforms, Experience in AI solutions, Experience with modern data architectures, Experience with operational workloads, Experience with AI-native applications

What You'll Do.

Lead specialized team of pre-sales Solutions Architects

Drive growth and expansion of Lakebase product

Partner with sales organizations

Coach new sales team members

Coach pre-sales team members

Engage with direct account teams

Plan with direct account teams

Strategically align with direct account teams

Jointly engage clients

Ensure Lakebase is adopted

Ensure Lakebase provides value

Enhance team effectiveness

Communicate complex solutions

Communicate business-value-focused solutions

Position transactional database support

Explain transactional database support

Build relationships with stakeholders

Hire technical pre-sales Solutions Architects

Manage technical pre-sales Solutions Architects

Build collaborative culture

Promote Databricks values

Support Lakebase business

Focus on customer value

Enable SA team to drive adoption

Enable SA team to drive consumption

Support increased ROI of SA involvement

Create trust-based relationships

Create long-term customer relationships

Understand transactional databases (OLTP)

Understand data platform

Understand data warehousing (OLAP)

Understand app development

Understand cloud market landscapes

Understand market trends

Report on forces shifting strategic direction

Promote solution-based field engineering

Promote value-based field engineering

Promote technical-based field engineering

Display understanding of business needs

Display understanding of revenue potential

Build Databricks Lakebase brand

Partner with Marketing

Translate customer feedback

Translate technical requirements

Translate competitive insights

Drive field readiness

Drive product evolution

Institute processes for efficiency

Institute processes for execution

How You'll Work.

Team & Collaboration

Sales organizations; Sales teams; Pre-sales teams; Account teams; Product teams; Engineering teams; Marketing teams

Communication Scope

Executive engagement; Business-value communication

Full Job Description

FEQ327R253 We are looking for a Sr. Manager, Field Engineering – Lakebase, to join our world-class hyper-growth organization. In this role, you will lead a specialized team of pre-sales Solutions Architects focused on our high priority product-line, Lakebase. The team will engage with complex, strategic accounts, helping drive the growth and expansion of our Lakebase product offering in a territory that spans across multiple verticalized business units.. Your experience partnering with sales organizations will help grow consumption, while coaching new sales and pre-sales team members to work together and raise the bar to best-in-class execution. Your team will engage, plan and strategically align with direct account teams in the verticalized business units, jointly engaging clients as you help ensure Lakebase is adopted and provides tremendous value to our customers. You will guide your team and be involved in initiatives to enhance its effectiveness. You must be an expert at communicating complex, business-value-focused solutions, while remaining deeply technical as you position, explain, and are seen as a credible technical leader in the transactional database (OLTP) domain; support a complex consumption motion; and build relationships with key stakeholders in large enterprises. This role will report to a Global Lakebase leader in Field Engineering. The impact you will have: Hire and manage a team of technical pre-sales Solutions Architects focused on Lakebase. Build a collaborative culture within a rapid-growth team that embodies and promotes Databricks’ customer-obsessed, team-first, and diverse values. Support our growing Lakebase business, focusing on customer value and enabling your SA team to drive technical adoption and consumption. Support increased return on investment of Solutions Architect involvement in sales cycles. Create trust-based, long-term customer relationships and deeply understand transactional databases (OLTP), along with data platform, data

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