Manager, Field Engineering - MFG

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 over 60% of the Fortune 500 — rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).

Databricks

Apache SparkApache Spark TrainingCloud ComputingBig DataData ScienceDelta LakeData LakehouseMLflowMachine LearningData Engineering

D

databricks.com

5,001-10,000 employees

Software Development

San Francisco, CA

Privately Held

1.4M LinkedIn followers

Raised $27.2B

• While candidates in the listed locations are encouraged for this role, we are
• open to remote candidates in other locations in the Central United States.
• 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
• 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.
• 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. You will make sure that
• your team is continuously learning, maintaining advanced knowledge of the
• data+AI technology stack, and working to provide our customers with the most
• comprehensive solutions for their needs

• 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.
• Lead a team through best practices for technical qualification, proof of
• concepts, architecture discussions, and product demonstrations.
• 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.
• 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.
• Actual compensation packages are based on several factors that are unique to
• each candidate, including but not limited to job-related skills, depth of
• experience, relevant certifications and training, and specific work location.
• Based on the factors above, Databricks anticipates utilizing the full width of
• the range. The total compensation package for this position may also include
• eligibility for annual performance bonus, equity, and the benefits listed above.
• For more information regarding which range your location is in visit our page
• here
• Zone 2 Pay Range
• $192,100—$264,100 USD
• 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

• 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
• 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.