Sr. Manager, Field Engineering - Financial Services (Hunter)

Databricks; United States; Remote; USD 192,000 - 264,000; Full time

Job summary

Databricks Inc. is seeking a Sr. Manager, Field Engineering to lead a team of Solutions Architects for the Financial Services segment.

You will hire, train, and scale a high-performing SA group, partnering with Sales and Product teams to drive revenue and customer success on the Data Intelligence Platform. You will maintain a robust talent pipeline, foster a collaborative culture across Field Engineering, Sales, and Customer Success, and stay ahead on technology stacks to deliver best-in-class

Qualifications

• Experience leading technical pre-sales teams.
• 8+ years in the data space with a technical product.
• Advisor to technical executives guiding data infrastructure decisions.
• Lead architecture discussions, qualifications, and demonstrations.

Responsibilities

• Hire, train, and grow a team of Solutions Architects.
• Establish relationships across Sales, Product, Engineering and Customer Success.
• Maintain advanced knowledge of the company technology stack and solutions.
• Ensure the team learns and delivers comprehensive data/AI solutions for customers.

Skills

Pre-sales leadership

Data analytics

Trusted advisor

Cross-functional work

Team hiring

Job description

P-5

Candidates in the listed region are encouraged for this role, we are open to remote candidates with a preference in the North East or Midwest at one of our office hubs.

Mission

Reporting to a Director, Field Engineering, the Sr. Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the Financial Services segment of the company’ Regulated Industries Field Engineering team. You will lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers achieve success through the company’ Data Intelligence Platform. You wil scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate the company' growth in the market.

The Impact You Will Have

• You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode

• Make your customers extremely successful with the company and provide outsized value to their businesses

• You will maintain a robust hiring pipeline of highly qualified, bar-raising candidates

• You will establish relationships across the business to make your customers and team successful

• You will keep your team of SAs ahead of the technical curve by ensuring they maintain advanced knowledge of the the company technology stack

• You will ensure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

What We Look For

• Proven experience building and leading technical pre-sales teams - hiring, on-boarding, coaching and mentoring those teams to mature and grow into highly capable individual operators as well as exceptional team-players

• 8+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI)

• Trusted advisor to technical executives that guide strategic data infrastructure decisions

• Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations

• Strong understanding of consumption-driven business models and the recipes for long term growth and success

• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles

• Create a positive culture and morale for the team - fostering strong working relationships between Field Engineering, Sales, and other important internal cross-functional teams

• Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success

• Must be technical enough to earn the trust of Engineering talent and leadership at the company

• Ability to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale

Pay Range Transparency

the company 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, the company 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.

Local Pay Range

$192,100—$264,175 USD

About the company

the company 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 the company Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, the company offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow the company on LinkedIn, X, YouTube, and Instagram.

Benefits

At the company, 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.

Our Commitment to Diversity and Inclusion

At the company, 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 the company 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.

ComplianceIf 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.