Field Engineering Leader, Data & AI for HiTech & Manufacturing

Databricks; California (MO); Hybrid; USD 192,000 - 264,000; Full time

Job summary

Databricks in the San Francisco Bay Area is seeking a Field Engineering Manager to lead a team of Solutions Architects for Manufacturing and HiTech Enterprise segments. You will translate team vision into strategy, drive revenue, and accelerate customer success with our Data + AI Platform.

You will hire, train, and mentor SAs, collaborate with Sales and Product, and ensure the team stays ahead of the technology curve while delivering measurable value to customers.

Qualifications

• 3+ years leading technical pre-sales teams and hiring.
• 7+ years in Data + AI with a technical product.
• Deep technical understanding to influence data infra decisions.
• Trusted advisor to technical executives.
• Experience collaborating with Product, Engineering, Sales, and Customer Success.
• Proven ability to build a robust hiring pipeline.

Responsibilities

• Hire, train, grow, and manage a bar-raising team of Solutions Architects.
• Make customers successful with Databricks and demonstrate value.
• Maintain a robust hiring pipeline.
• Establish relationships across the business for customer and team success.
• Partner with sales leadership to hit targets while ensuring customer success.
• Keep the team ahead of the technical curve with ongoing learning.

Skills

Leadership of pre-sales teams

Data + AI domain expertise

Executive stakeholder engagement

Hiring & coaching

Architectural guidance

Cross-team collaboration

Job description

Databricks in the San Francisco Bay Area is seeking a Field Engineering Manager to lead a team of Solutions Architects for Manufacturing and HiTech Enterprise segments. You will translate team vision into strategy, drive revenue, and accelerate customer success with our Data + AI Platform.

You will hire, train, and mentor SAs, collaborate with Sales and Product, and ensure the team stays ahead of the technology curve while delivering measurable value to customers.