Manager – Field Engineering @ Databricks

Manager – Field Engineering

Financial Services

Posted on 5/1/2023

INACTIVE

Locations

Remote • Massachusetts, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Requirements

5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning)
2+ years of experience leading technical teams, with a preference for a pre-sales organization - building a territory, up-selling strategic accounts, and exceeding annual quotas
Trusted advisor to technical executives that guide strategic data infrastructure decisions
Led a team through best practices for technical qualifications, proof of concepts, architecture discussions, and product demonstrations
Experience hiring qualified candidates, ramping them up to be successful and promoting them into larger roles
Create positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners
Azure experience

Responsibilities

You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode
Crush your region's sales target - by making sure your SA team knows how to qualify accounts, especially from a technical perspective, identify important use-cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle; lead the technical win
Make your customers extremely successful with Databricks and provide outsized value to their businesses
Establish relationships across the business (partners, sales, GTM) to make your customers and team successful

We can hire remote (east coast).

The FINS SA Manager for Global Systems Integrators (GSI) and Consulting will lead a team of Solutions Architects focusing on complex, strategic accounts. You will expand and develop a dynamic team experienced in enterprise software, big data/analytics, data engineering, and data science. 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.
Crush your region’s sales target - by making sure your SA team knows how to qualify accounts, especially from a technical perspective, identify important use-cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle; lead the technical win.
Make your customers extremely successful with Databricks and provide outsized value to their businesses.
Establish relationships across the business (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, or machine learning).
2+ years of experience leading technical teams, with a preference for a pre-sales organization - building a territory, up-selling strategic accounts, and exceeding annual quotas.
Trusted advisor to technical executives that guide strategic data infrastructure decisions.
Led a team through best practices for technical qualifications, proof of concepts, architecture discussions, and product demonstrations.
Experience hiring qualified candidates, ramping them up to be successful and promoting them into larger roles.
Create positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners
Azure experience

Benefits

Comprehensive health coverage including medical, dental, and vision
401(k) Plan
Equity awards
Flexible time off
Paid parental leave
Family Planning
Gym reimbursement
Annual personal development fund
Employee Assistance Program (EAP)

About Databricks

Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.

1,001-5,000 employees

Website

Unified, open platform for enterprise data

Company Overview

Databricks is on a mission to simplify and democratize data and AI, helping data teams solve the world’s toughest problems. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.

Benefits

Extended health care including dental and vision
Life/AD&D and disability coverage
Equity awards
Flexible Vacation
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Paid Parental Leave