Sr. Manager, Field Engineering
About the role
Sr. Manager, Field Engineering - Databricks
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Sr. Manager, Field Engineering
Chicago, Illinois; Connecticut; New Jersey; Remote - New York; Remote - Washington D.C.; San Francisco, California
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FEQ427R411 Req ID
Mission
Reporting to a Director, Field Engineering, the Sr. Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the Startups
segment of Databricks’ 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 gener
ative AI. Leading the technical sales
team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help custo
mers achieve success through Databricks’ Data Intelligence Platform. You wil scale and maintain an outstanding Field Engineering team that
is efficient in its operations to help ac
celerate Data
bricks' 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 e
xtremely
successful with Databricks 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 ah
ead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack
You will ensure that you
r team is continuously learning and working to provide our customers with the most comprehensive solution
s for their needs
You will engage with customers strategically at the Executive Level to drive mutually beneficial outcomes and set GTM strategy and drive world class execution towards meeting aggressive sales targets
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
10+
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, architectu
re discussions, and product demonstrations
Establish and foster external partnerships with systems integrators (SIs) and independent software vendors (
ISVs) that maximize and accelerate client success
Strong understanding of consumption-driven business models and the recipes for long term growt
h 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 importa
nt internal cross-functional teams
Experience working cro
ss-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 Databricks
Ability
to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for th
is 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, Databrick
s 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 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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 d
uties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may declin
e to proceed with an applicant on this basis alon
e.
Applicant Privacy Notice
About Databricks
Databricks 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 Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on
,
X
,
YouTube
, and
.
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.