Senior Manager, Field Engineering - High Tech and MFG

Role Description

The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ Data + AI experiences forward.

As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Manufacturing and HiTech Enterprise Segment of Databricks’ Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks’ growth in the market.

The impact you will have:

• You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode.
• Make your customers extremely successful with Databricks and provide outsized value to their businesses.
• You will 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 while ensuring customer success.
• Keep your team of SAs ahead of the technical curve, ensuring continuous learning and advanced knowledge of the data+AI technology stack.

Qualifications

• 3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, coaching, and enabling pre-sales professionals.
• 7+ years of experience in the Data + AI space with a technical product (i.e., data warehousing, big data, data science, machine learning, or AI).
• A deep technical understanding of the impact that Data + AI can drive within various industry segments.
• Technical competence to earn the trust of Engineering talent and leadership at Databricks.
• Trusted advisor to technical executives who guide strategic data infrastructure decisions.
• Experience hiring pre-sales professionals, ramping them up to be successful, promoting them into larger roles, identifying and addressing performance issues, and implementing improvement plans.
• Create a positive team culture and help foster working relationships between Field Engineering, Sales, and other important internal partners.
• Experience working with other teams such as Product Management, Engineering, and Customer Success.
• Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions that scale.

Requirements

• Pay Range Transparency: Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.
• Zone 1 Pay Range: $192,100 — $264,175 USD.

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 .

Company Description

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.