Strategic Overview
Manager, Field Engineering - MFG at Databricks is a dev opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode. You will maintain a robust hiring pipeline at all times.
The role is listed for Chicago, Illinois with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
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.
Key Responsibilities & Objectives
- You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode.
- 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
Required Qualifications & Candidate Blueprint
- 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).
Salary & Benefits
Published compensation: $192,100 – $264,100 USD
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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.
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 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, X, YouTube, and Instagram.
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.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 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.
Compliance
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This dev opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode. — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
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