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Sr. Manager, Field Engineering

Geplaatst 15 feb. 2025
Delen:
Werkervaring
7 tot 15 jaar
Full-time / part-time
Full-time
Salaris
US$ 245.300 - US$ 376.200 per jaar
Soort opleiding
Taalvereiste
Engels (Vloeiend)

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Sr. Manager, Field Engineering

Reporting to the Director of Field Engineering, the Sr. Manager, Field Engineering will play a pivotal role in leading a high-performing team of pre-sales Solutions Architects. The team will specialize in complex, strategic Manufacturing accounts. Your responsibilities will encompass team leadership, strategic collaboration with the sales organization, and ensuring the successful implementation of cutting-edge solutions in enterprise software, big data/analytics, data engineering, and data science.

The impact you will have:

Team Leadership:

  • Hire, train, and nurture a team of Solutions Architects, fostering a culture of excellence and innovation.
  • Empower your team to navigate technical intricacies, identify key use cases, and build compelling proof of concepts.
  • Develop and execute strategies for the continuous growth and success of the Solutions Architect team.
  • Foster a culture of continuous learning and development within the team.

Sales Excellence / Databricks consumption:

  • Drive the achievement of sales targets in your region by guiding the Solutions Architect team in qualifying use cases and demonstrating technical proficiency.
  • Lead your team in establishing themselves as trusted advisors throughout the entire customer life-cycle.
  • Lead your team to excel in technical qualifications, proof of concepts, architecture discussions, product demonstration, and implementation plans.
  • Play a crucial role in achieving the technical win in complex sales cycles.

Customer Success and Value Delivery:

  • Ensure customer success by making them successful with Databricks solutions, delivering outsized value to their businesses.
  • Foster strong relationships across the business landscape, collaborating with partners, sales, and go-to-market teams to maximize customer and team success.

What we look for:

  • Experience: 7+ years in the data space with a technical product, such as data warehousing, big data, or machine learning.
  • Leadership: 4+ years of experience leading technical teams, preferably in a pre-sales organization, exceeding annual quotas and building strategic accounts.
  • Advisory Role: Proven experience as a trusted advisor to technical executives, guiding strategic data infrastructure decisions.
  • Team Development: Track record of hiring, training, and promoting qualified candidates for success within the organization.
  • Collaboration: Ability to create positive morale within the team and foster effective working relationships with Field Engineering, Sales, and other internal partners.
  • Nice to Have: Experience in the Manufacturing sector.

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.

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.

Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to…


Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Viacom, Shell, and HP. For more information, visit www.databricks.com.

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