Sr. Manager, Field Engineering - Financial Services

Databricks • Chicago, MA

23h

About The Position

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 : 7+ 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.

Requirements

• 7+ 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.

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees