Field Engineering Manager - Pre-Sales
No salary listed
Expert
Bachelor's
Amsterdam, Netherlands
In PersonField work with customers is approximately 30–40%; the posting is tagged hybrid but provides no office/home attendance schedule.
Solution EngineeringPre-Sales Solution Engineering
About the job
Requirements
- Track record of managing or leading technical pre-sales or consulting teams in cloud data platforms, enterprise software, or AI/ML ecosystems.
- Hands-on experience leveraging modern AI tools and the ability to drive AI capability and productivity across an engineering team.
- Deep understanding of data challenges within relevant industries.
- Ability to build direct relationships with VP- and C-level stakeholders and frame technical decisions around commercial value and consumption growth.
- Hands-on foundation in data engineering, distributed systems, cloud architecture (AWS, Azure, or GCP), or enterprise ML/AI pipelines, with the discipline to coach Solutions Architects rather than take over technical delivery.
- Experience managing against consumption/usage business models, running structured deal inspection cadences, and redesigning sub-scale operational processes.
- Experience managing or leading a technical customer-facing team.
- Experience partnering with Sales and cross-functional teams through complex, multi-stakeholder customer engagements.
- Experience in data platforms, analytics, AI, cloud, software, technical consulting, or a related technical domain.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
- Strong written, verbal, and presentation skills, and stakeholder-management skills.
Responsibilities
- Hire, mentor, and retain exceptional Solutions Engineers/Architects in the Benelux region, establishing standards for technical excellence, inclusive leadership, and performance management.
- Lead by example as an AI practitioner, embed AI tools into team workflows, and drive scalable AI capability across the organisation.
- Build trusted relationships with C-level and senior technical executives across customer accounts and translate platform capabilities into measurable business return on investment.
- Co-own regional consumption and growth targets with Sales partners and maintain inspection cadences across pipeline health, technical validation, and account strategy.
- Serve as an architectural sounding board, diagnose platform designs and failure modes in distributed systems or AI infrastructure, and coach Solutions Architects to refine architectures independently.
- Help build Databricks' brand and market presence across enterprise accounts in the Benelux region.
- Spend approximately 30–40% of time in the field partnering with customer executives and internal Sales counterparts.
Desired Qualifications
- Experience with Databricks or comparable data and AI platforms.
- Experience building trusted relationships with senior technical and business stakeholders.
- Experience using data, automation, or AI-enabled tools to improve team effectiveness.
- Experience supporting customers across multiple use cases, technical environments, or business functions.
- Dutch fluency or business-level proficiency is preferred.
About the company
Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.
Company Size
10,001+
Company Stage
Late Stage VC
Total Funding
$32.1B
Headquarters
San Francisco, California
Founded
2013
Get referred to Databricks
See people who can refer or advise you
Simplify's Take
What believers are saying
- Growth supports larger product bets: Databricks reported over 80% yearly growth and a $7 billion revenue run-rate in August 2026.
- Employees try frontier AI immediately: Databricks says its 12,000 staff received day-one access to September 2026 model releases.
- Existing customers spend more: Databricks reported over 140% revenue retention in February 2026, after contractions and departed accounts.
What critics are saying
- Steep valuation: Databricks' August 2026 round valued it near 27 times its $7 billion annualized revenue milestone.
- A partner controls part of the bill: Microsoft sets Azure Databricks prices and bills those customers directly.
- Equity needs planned liquidity: Databricks remains privately held, so employee shares lack an everyday stock-market exit.
What makes Databricks unique
- Governance extends beyond its own engine: Databricks publishes Unity Catalog's core APIs and server as open source.
- Apps run beside analytics: Databricks' Lakebase combines a Postgres database with its data lake and isolated testing branches.
- Its roots are in distributed computing: Databricks' founders created Apache Spark, which processes large datasets across many computers.
Help us improve and share your feedback! Did you find this helpful?
Benefits
- Extended health care including dental and vision
- Life/AD&D and disability coverage
- Equity awards
- Flexible Vacation
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Employee Assistance Program (EAP)
- Business travel accident insurance
- Paid Parental Leave