Manager, Field Engineering - MFG

Databricks; Chicago (IL); Sur place; USD 172 500 - 237 150; Plein temps

Avantages offerts par ce poste

Comprehensive health benefits

Annual performance bonus

Equity options

Inclusive workplace culture

Résumé du poste

Databricks is hiring a Field Engineering Manager in Chicago to lead a team of Solutions Architects dedicated to the Manufacturing Segment. The successful candidate will shape team culture and strategy while ensuring customers achieve success with the Databricks platform.

With a focus on building and leading a high-performing team in the Data + AI space, you will partner with sales leadership to drive targets and foster relationships. This role requires deep technical understanding and the ability to influence complex architecture discussions.

Qualifications

• 3+ years of experience building and leading technical pre‑sales teams.
• 7+ years of experience in Data + AI with a technical product.
• Demonstrated architectural influence on complex solutions.

Responsabilités

• Manage a team of Solutions Architects for the Manufacturing Segment.
• Develop team culture and strategy focused on customer success.
• Establish partnerships with sales leadership to achieve targets.

Connaissances

Technical pre-sales leadership

Data + AI expertise

Team management

Customer relationship management

Technical architecture influence

Description du poste

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

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.