Manager, Field Engineering

FEQ426R314

Reporting to the Director of Field Engineering for Financial Services, the Field Engineering Manager will lead a team of pre-sales Solutions Architects (SA) focusing on the customer acquisition motion in the Financial Services vertical. You will expand and develop a dynamic team skilled in enterprise software, big data/analytics, data engineering, data science, AI and Machine Learning. Your experience partnering with the sales organization will help close revenue opportunities with the right approach whilst coaching new sales and pre-sales team members to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles, and build relationships with key stakeholders in large corporations.

The impact you will have:

• You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode.
• Consistently meet or exceed sales targets - by making sure your SA team knows how to qualify accounts, especially from a technical perspective, identify important use cases, execute and win technical evaluations in favour of Databricks and establish themselves as trusted advisors throughout the customer life-cycle.
• Make your customers extremely successful with Databricks and provide outsized value to their businesses.
• Establish relationships across the business cross-functionally (partners, sales, GTM) to make your customers and team successful.

What we look for:

• 5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, analytics, data engineering, AI or machine learning).
• Experience in a scalable, customer acquisition motion, by leveraging repeatable assets, establishing partnerships, and ideally in the Financial Services industry.
• Experience building and leading technical pre-sales teams - hiring, onboarding, and supporting pre-sales professionals in hypergrowth environments; building a territory; up-selling strategic accounts; and exceeding annual quotas.
• Lead a team through best practices for technical account strategy, architecture discussions, and solution advocacy in a highly competitive and political customer environment.
• Experience hiring candidates, ramping them up to be successful, and promoting them into larger roles.
• Create positive morale for the team, establish work-life balance and help foster a healthy and productive working relationship within the team and between Field Engineering, Sales, and other important internal partners.
• Experience working with other cross-functional teams such as Sales, Product Management, Industry Go to Market and Customer Success.
• Experience with driving executive alignment in accounts that guides strategic data platform decisions and establish partnerships through adoption and growth.

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 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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, please visit  

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.