Role at a glance
- Salary
- Not Disclosed
- Location
- Paris, France
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Experience in senior roles in the data space with a technical product
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Role Summary
The Field Engineering Manager will lead and develop a team of Specialist Solutions Architects supporting complex technical sales cycles and customer engagements for Databricks. The team provides specialist expertise in enterprise software, data engineering, and data science/machine learning to help customers advance strategic use cases and grow platform usage.
What You'll Do
- Hire, train, and grow a diverse team of Specialist Solutions Architects.
- Work with cross-functional counterparts to deploy technical experts against critical use cases and exceed regional consumption targets.
- Support complex sales cycles and customer architectures.
- Establish relationships across the business to support customers and the team.
- Oversee regional growth quota activities to grow Databricks platform usage and prevent churn in strategic accounts.
- Handle escalations, mentor team members, and build career paths for assigned team members.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Experience in senior data-focused roles with a technical product; experience leading technical overlay customer-facing teams with team sizes greater than 8; experience hiring, ramping, and promoting team members; experience working with Sales, Product Management, and Professional Services; ability to lead technical qualification, proof of concepts, architecture discussions, and product demonstrations.
Required
- Experience in senior roles in the data space with a technical product
- Experience in leading technical overlay customer-facing teams (team sizes greater than 8)
- Trusted advisor to technical executives that guide strategic data infrastructure decisions
- Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations
- Experience hiring qualified candidates, ramping them up to be successful, and promoting into larger roles.
- Experience working with other teams such as Sales, Product Management, and Professional Services
Preferred
- preferably in a pre-sales organisation leading technical engagements
Original job description
Content provided by the employer
Original job description
Content provided by the employer
FEQ327R159
Field Engineering Manager - Specialist Solutions Architects France
The Specialist Solutions Architect Manager will lead a team of Specialist Solutions Architects (SSAs) responsible for key elements of the technical sales cycle. You will grow and develop a dynamic team with expertise in areas including enterprise software, data engineering, and data science/machine learning, who will continue to deepen their knowledge of Databricks as the platform expands. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles and customer architectures; and build relationships with key stakeholders in large corporations.
The SSA Team is engaged in our most important and complex customer engagements, providing deep technical expertise to both new and existing customers. Your team provides specialist expertise to the Solution Architect (SA) and Sales teams, which are responsible for developing and overseeing the overall technical account strategy.
Reporting to the Senior Manager, Field Engineering (Specialist).
The impact you will have:
- You will hire, train, and grow a diverse team of Specialist Solutions Architects for Databricks, a company in hyper-growth mode
- Exceed your region's consumption targets - by working with your cross-functional counterparts to determine where to deploy your team of technical experts to drive the most critical use cases forward
- Make your customers extremely successful with Databricks and provide outsized value to their businesses
- Establish relationships across the business to make your customers and team successful
- Grow Databricks platform usage and prevent churn in strategic accounts by overseeing and retiring a regional growth quota
- Create positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners
- Help resolve customer questions and concerns on accounts and opportunities deemed strategic by Sales and Pre-sales field leadership
- Act in a supportive manager capacity, including handling escalations, mentoring team members, building a career path for the assigned team members, etc.
What we look for:
- Experience in senior roles in the data space with a technical product (i.e. data warehousing, big data, or machine learning)
- Experience in leading technical overlay customer-facing teams (team sizes greater than 8), preferably in a pre-sales organisation leading technical engagements
- Trusted advisor to technical executives that guide strategic data infrastructure decisions
- Team player, but able to challenge and define priorities
- Self-starter, challenger, strategic planner & analytical thinker
- Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations
- Experience hiring qualified candidates, ramping them up to be successful, and promoting into larger roles.
- Experience working with other teams such as Sales, Product Management, and Professional Services
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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 click here.
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.