Manager, Field Engineering
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
Offer value
Strong leadership opportunity in a growing tech sector with competitive compensation and professional development potential.
- Leadership role in data and AI sector
- Opportunities for team building and project impact
- Competitive compensation and growth prospects
Pros
- Significant impact on team development and customer engagement
- Involvement in enterprise level projects with major clients
- Strong growth in the data and AI field
Cons
- High performance expectations and accountability
- Position may require extensive travel
- Management of both in-person and remote teams can be challenging
Who it's for
Mid-Level / Management • On-site / Hybrid
Good fit
- Leaders with experience in data engineering
- Technical experts wanting to transition to management
- Individuals seeking to work with strategic enterprise clients
Not recommended for
- New professionals with no managerial experience
- Candidates looking for a non-technical role
- Those with a preference for structured hours
Motivation fit
Key skills
About the job
FEQ326R270
As a Manager, Field Engineering (Data & AI) (Strategic Accounts, Data & AI) will lead a team of Solutions Architects (Data & AI) focusing on large enterprise & strategic customers in India. You will help lead our APJ Region (Asia Pacific and Japan) expansion, you will build and lead a technical pre-sales team. Your experience partnering with the sales organisation will help close revenue with opportunities of +$1M ARR with the right approach whilst coaching new sales and pre-sales team members to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at positioning and articulating business-value focused solutions to our customers and prospects; support various stages of the sales cycles; and build relationships with key stakeholders in large corporations.
The impact you will have:
- Manage hiring, building the Pre-Sales team consisting of Solutions Architects in the Data & AI domain.
- Rapidly scale the designated Field Engineering segment organisation without sacrificing calibre.
- Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture.
- Support increasing Return on Investment of SA involvement in sales cycles by 2-3x over 18 months.
- Promote a solution and value-based selling field-engineering organisation.
- Coach and mentor the Solutions Architect team to understand our customers’ business needs and identify revenue potential in their accounts.
- Interface with leadership & C-suite stakeholders at strategic customers in the assigned region to position the strength of Databricks, the comprehensive solutions strategy, and build trust and credibility in the account.
- Build Databricks' brand in India in partnership with the Marketing and Sales team
- Bring the experience, priorities, and takeaways of the field engineering team to the planning and strategy roadmap of the organisation.
What we look for:
- 6+ years experience in a pre-sales / consulting / customer facing managerial role: developing, managing and building a team of successful Big Data, Cloud, or SaaS professionals
- Experience working with strategic Banking / Financial Services / Digital Enterprise accounts generating +$1M ARR
- 6+ years experience in Big Data Architecture incorporating components of Data Engineering / Data Warehouse / Machine Learning / Data Science
- Experience in scaling and mentoring field and technical teams managing both in-person and remote working models
- Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
- Knowledgeable in Apache Spark™ / Databricks ecosystem
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.
