Sr. Manager, Field Engineering

About the role

The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major media agencies, ad tech, and Data/Identity companies are leveraging the Databricks Data Intelligence Platform to accelerate their data-driven strategies. This role is part of the Agency segment, focusing on enterprise software, big data/analytics, data engineering, and data science.

Responsibilities

• Hire, train, grow, and manage a team of Solutions Architects for a company in high-growth mode.
• Make your customers in the Agencies segment successful with Databricks and provide outsized value to their businesses.
• Maintain a robust hiring pipeline at all times.
• Establish relationships across the business to make your customers and team successful.
• Partner with sales leadership to hit sales and consumption targets and ensure customer success.
• Scale and maintain an outstanding Field Engineering team that operates efficiently to accelerate Databricks' market growth.

Requirements

• 7+ years of professional experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning).
• 3+ years of first-line management experience leading technical pre-sales or solutions architecture teams — including hiring, onboarding, coaching, performance management, and career development.
• Understanding of the advertising and media agency ecosystem — how holdcos are structured, how data flows between brands, agencies, publishers, and ad tech platforms.
• 3+ years of experience building and leading technical pre-sales teams - hiring, on-boarding, and enabling pre(and post)-sales professionals.
• A deep technical understanding of the impact that Data & AI can drive within the Media and Entertainment industry, with a specific focus on the Media Agency Ecosystem.
• Trusted advisor to technical executives who guide strategic data infrastructure decisions.
• Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations.
• Experience hiring candidates, ramping them up to be successful, and promoting them into larger roles.
• Build team morale and foster working relationships among Field Engineering, Sales, and other key internal partners.
• Experience working with teams across Sales, Product Management, Engineering, and Customer Success.
• Must be technical enough to earn the trust of Engineering talent and leadership at Databricks.
• Able to influence and review complex architectures, guiding your team and customers toward ideal solutions - that scale.

Qualifications

• Technical enough to earn the trust of Engineering talent and leadership at Databricks.
• Able to influence and review complex architectures, guiding your team and customers toward ideal solutions - that scale.

Skills

• Technical product (data warehousing, big data, machine learning)
• First-line management experience leading technical pre-sales or solutions architecture teams
• Understanding of the advertising and media agency ecosystem
• Building and leading technical pre-sales teams
• Deep technical understanding of the impact of Data & AI in the Media and Entertainment industry
• Trusted advisor to technical executives
• Leading technical qualification, proof of concepts, architecture discussions, and product demonstrations
• Hiring and onboarding candidates
• Building team morale and fostering relationships
• Working with cross-functional teams
• Influencing and reviewing complex architectures

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.

Pay

TBD

Schedule

TBD

Skills

• Technical product (data warehousing, big data, machine learning)
• First-line management experience leading technical pre-sales or solutions architecture teams
• Understanding of the advertising and media agency ecosystem
• Building and leading technical pre-sales teams
• Deep technical understanding of the impact of Data & AI in the Media and Entertainment industry
• Trusted advisor to technical executives
• Leading technical qualification, proof of concepts, architecture discussions, and product demonstrations
• Hiring and onboarding candidates
• Building team morale and fostering relationships
• Working with cross-functional teams
• Influencing and reviewing complex architectures