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Sr. Manager, Field Engineering - Tech and MFG

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Databricks Inc.
Full Time position
Listed on 2026-07-06
Job specializations:
  • IT/Tech
    Data Engineering, Sales Engineer, Technical Sales
Salary/Wage Range or Industry Benchmark: 192100 - 264175 USD Yearly USD 192100.00 264175.00 YEAR
Job Description & How to Apply Below
Position: Sr. Manager, Field Engineering - High Tech and MFG

Sr. Manager, Field Engineering – High Tech and MFG

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in the Western 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,  Field Engineering team is hiring a dynamic Solutions Architecture leader who is focused on team culture and translates their vision into an effective strategy that drives our customers’ Data + AI experiences forward.

Impact
  • Hire, train, grow, and manage a bar-raising team of Solutions Architects.
  • Make customers extremely 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 customers and team successful.
  • Partner with sales leadership to hit sales and consumption targets while ensuring customer success.
  • Keep the team ahead of the technical curve—continuous learning, advanced knowledge of the data+AI technology stack, and comprehensive solutions for customer needs.
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 (e.g., 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 internal partners.
  • Experience working with other teams such as Product Management, Engineering, and Customer Success.
  • Demonstrated architectural influence; ability to influence and review complex architectures, guiding team and customers toward ideal, scalable solutions.
Pay Range Transparency

Zone 1 Pay Range: $192,100 — $264,175 USD

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.

Benefits

Databricks offers comprehensive benefits and perks that meet the needs of all employees. Specific details on the benefits offered in your region are available on the company website.

Our Commitment to Diversity and Inclusion

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.

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