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Manager, Field Engineering - MFG

Lead a team of Solutions Architects in the Manufacturing Segment to drive customer success with Databricks' Data Intelligence Platform.

Location
Chicago, Illinois
Compensation
$172.5k–$237.2k/yr
Level
lead
Type
full time · Hybrid

Posted by employer 3 months ago

First seen on Joblaze 3 months ago

Last verified on the company career page 8 hours ago

Role intensity

10% coding — mostly leadership/strategy

Requirements

Experience
7+ years

Not disclosed in this posting: visa sponsorship.

Joblaze summary

In the role of Field Engineering Manager at Databricks, the individual will oversee a team of Solutions Architects focused on enhancing customer experiences with data and AI solutions in the manufacturing sector. Key skills include a strong background in data engineering, analytics, and AI, along with experience in leading pre-sales teams. This position is ideal for someone with significant technical expertise and a proven track record in team management, particularly in high-growth environments. The role emphasizes collaboration with sales and other technical teams to drive customer success and revenue growth.

Joblaze insights

  • Listed about 3 months ago — first seen on Joblaze July 2, 2026. Last confirmed on Databricks's careers page October 9, 2026.
  • Salary band is in line with the typical range for Management roles (median ~$170,000).
  • Starts above 47% of 19 comparable lead management roles in United States that list AI we track (median $172,500 across 13 companies). See AI salary trends
  • AI appears in 5.3% of 581 comparable lead management roles in United States; Big Data appears in 0.2% of 581 comparable lead management roles in United States.

Quick facts

Is the Manager, Field Engineering - MFG role remote?
It's hybrid — Databricks expects some on-site time in Chicago, Illinois.
What's the salary range?
Databricks lists $172,500–$237,150 for this role.
How much experience is required?
At least 7 years of relevant experience for this Manager, Field Engineering - MFG role.
Where is the role based?
Databricks is hiring for this position in Chicago, Illinois.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI, Big Data, Data & AI, Data Engineering, Data Science, Machine Learning.
What seniority level is this role?
Databricks targets lead candidates for this position.
Is this full-time or contract?
Full-time for this Manager, Field Engineering - MFG role at Databricks.

From the original posting

REQ ID - FEQ327R483

Location(s): Central US (Texas, Illinois, St. Louis)

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 (SAs) for the Manufacturing 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. 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

What we look for:

  • 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.

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. 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
$172,500—$237,150 USD

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

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