Field Engineering Manager - Specialist Solutions Architects
No salary listed
Senior
Seoul, South Korea
In Person
Solution EngineeringPre-Sales Solution Engineering
About the job
Requirements
- At least 5 years of experience leading Data and AI Engineering, technical pre-sales, and/or post-sales teams, with a proven track record managing elite technical individual contributors.
- At least 5 years of hands-on experience developing data solutions using highly technical platforms such as distributed computing, cloud data warehousing, MLOps, or Generative AI infrastructure.
- Strong skills in technical discovery, architecture design validation, structured proof-of-concept or minimum viable product management, and value-selling frameworks.
- Ability to serve as a trusted advisor to technical executives guiding strategic data infrastructure decisions.
- Native proficiency in Korean is required.
Responsibilities
- Lead a team of Specialist Solutions Architects responsible for key elements of the technical sales cycle.
- Grow and develop a dynamic team with expertise in enterprise software, data engineering, and data science or machine learning, helping them deepen their Databricks platform knowledge.
- Guide the team and participate in improving its effectiveness; communicate complex, business value-focused solutions; support complex sales cycles and customer architectures; and build relationships with key stakeholders in large corporations.
- Provide specialist expertise in important and complex customer engagements to Solution Architect and Sales teams responsible for overall technical account strategy.
- Hire, train, and grow a diverse team of Specialist Solutions Architects.
- Exceed regional consumption targets by working with cross-functional counterparts to determine where to deploy technical experts to advance critical use cases.
- Help customers succeed with Databricks and deliver value to their businesses.
- Establish business relationships that support customer and team success.
- Grow Databricks platform usage and prevent churn in strategic accounts by overseeing and retiring a regional growth quota.
- Foster positive team morale and working relationships between Field Engineering, Sales, and internal partners.
- Help resolve customer questions and concerns on strategic accounts and opportunities identified by Sales and pre-sales field leadership.
- Act in a supportive manager capacity by handling escalations, mentoring team members, and building career paths for assigned team members.
Desired Qualifications
- Business-level English proficiency is preferred.
- Experience hiring qualified candidates, ramping them up for success, and promoting them into larger roles.
- Experience working with teams such as Sales, Product Management, and Forward Deployed Engineering.
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
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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.
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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