Sr. Manager, Field Engineering
Databricks · Chicago, Illinois; Connecticut; New Jersey; Remote - New York; Remote - Washington D.C.; San Francisco, California
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div Mission /div
div Reporting to a Director, Field Engineering, the Sr. Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the Startups span class= citation-3407 segment of Databricks’ Field Engineering team. You will lead and promote a diverse team focusing on enterprise /span span class= citation-3406 citation-3407 citation-end-3407 software, big data/analytics, data engineering, data science, data warehousing and gener /span span class= citation-3406 ative AI. Leading the technical sales /span span class= citation-3404 citation-3405 citation-3406 citation-end-3406 team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help custo /span span class= citation-3404 citation-3405 mers achieve success through Databricks’ Data Intelligence Platform. You wil scale and maintain an outstanding Field Engineering team that /span span class= citation-3403 citation-3404 citation-3405 citation-end-3405 is efficient in its operations to help ac /span span class= citation-3403 citation-3404 citation-end-3404 celerate Data /span span class= citation-3403 citation-end-3403 bricks' growth in the market. /span
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div span class= citation-3402 citation-end-3402 The Impact You Will Have /span /div
div span class= citation-3400 citation-3401 citation-end-3401 You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode /span /div
div span class= citation-3398 citation-3399 citation-end-3399 Make your customers e /span span class= citation-3398 xtremely /span span class= citation-3395 citation-3396 citation-3397 citation-3398 citation-end-3398 successful with Databricks and provide outsized value to their businesses /span /div
div span class= citation-3391 citation-3392 citation-3393 citation-3394 citation-end-3394 You will maintain a robust /span span class= citation-3391 citation-3392 citation-3393 citation-end-3393 hiring pipeline of highly qualified, bar-raising candidates /span /div
div span class= citation-3388 citation-3389 citation-3390 citation-end-3390 You will establish relationships across the business to make your customers and team successful /span /div
div span class= citation-3385 citation-3386 citation-3387 citation-end-3387 You will keep your team of SAs ah /span span class= citation-3385 citation-3386 citation-end-3386 ead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack /span /div
div span class= citation-3383 citation-3384 citation-end-3384 You will ensure that you /span span class= citation-3383 citation-end-3383 r team is continuously learning and working to provide our customers with the most comprehensive solution /span s for their needs
div class= source-inline-chip-container luminous-sources ng-star-inserted 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 /div
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div What We Look For /div
div Proven experience building and leading technical pre-sales teams - hiring, on-boarding, coaching and span class= citation-3382 citation-end-3382 mentoring those teams to mature and grow into highly capable individual operators as well as exceptional team-players /span /div
div span class= citation-3381 10+ /span span class= citation-3378 citation-3379 citation-3380 citation-3381 citation-end-3381 years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more /span span class= citation-3378 citation-3379 citation-3380 citation-end-3380 recently with generative AI) /span /div
div span class= citation-3375 citation-3376 citation-3377 citation-end-3377 Trusted advisor to technical executives that guide strategic data infrastructure decisions /span /div
div span class= citation-3372 citation-3373 citation-3374 citation-end-3374 Lead a team through best practices for technical qualification, technical validations, architectu /span span class= citation-3372 citation-3373 citation-end-3373 re discussions, and product demonstrations /span /div
div span class= citation-3370 citation-3371 citation-end-3371 Establish and foster external partnerships with systems integrators (SIs) and independent software vendors ( /span span class= citation-3370 citation-end-3370 ISVs) that maximize and accelerate client success /span /div
div span class= citation-3369 citation-end-3369 Strong understanding of consumption-driven business models and the recipes for long term growt /span h and success /div
div Experience hiring candidates span class= citation-3367 citation-3368 citation-end-3368 that continually raise the bar, ramping them up to be successful, and promoting into larger roles /span /div
div span class= citation-3365 citation-3366 Create a positive culture and morale for the team - fostering strong working relationships /span span class= citation-3364 citation-3365 citation-3366 citation-end-3366 between Field Engineering, Sales, and other importa /span span class= citation-3364 citation-3365 citation-end-3365 nt internal cross-functional teams /span /div
div span class= citation-3362 citation-3363 citation-end-3363 Experience working cro /span span class= citation-3362 ss-functionally with other teams such as Sales, Product Management, Engineering, /span span class= citation-3361 citation-3362 citation-end-3362 and Customer Success /span /div
div span class= citation-3359 citation-3360 citation-end-3360 Must be technical enough /span span class= citation-3359 citation-end-3359 to earn the trust of Engineering talent and leadership at Databricks /span /div
div span class= citation-3358 Ability /span span class= citation-3357 citation-3358 citation-end-3358 to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale /span
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div span class= citation-3356 citation-end-3356 Pay Range Transparency /span /div
div span class= citation-3355 citation-end-3355 Databricks is committed to fair and equitable compensation practices. The pay range(s) for th /span is role is listed below and represents the expected span class= citation-3353 citation-3354 citation-end-3354 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, /span span class= citation-3353 depth /span span class= citation-3352 citation-3353 citation-end-3353 of experience, relevant certifications and training, and specific work location. Based on the factors above, Databrick /span span class= citation-3352 citation-end-3352 s anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for /span annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
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div About Databricks /div
div 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. /div
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div Benefits /div
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div 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. /div
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div Our Commitment to Diversity and Inclusion /div
div At Databricks, span class= citation-3351 citation-end-3351 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 /span 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 span class= citation-3348 citation-3349 citation-3350 citation-end-3350 affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. /span
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div span class= citation-3345 citation-3346 citation-3347 citation-end-3347 Compliance /span /div
div span class= citation-3342 citation-3343 citation-3344 citation-end-3344 If access to export-controlled technology or source code is required for performance of job d /span span class= citation-3342 citation-3343 citation-end-3343 uties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may declin /span span class= citation-3342 citation-end-3342 e to proceed with an applicant on this basis alon /span e.
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div Applicant Privacy Notice /div
/div div class= content-conclusion p strong About Databricks /strong /p
p span style= font-family: arial, sans-serif; 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 a href= https://www.linkedin.com/company/databricks LinkedIn /a , a href= https://x.com/databricks X /a , a href= https://www.youtube.com/@Databricks YouTube /a , and a href= https://www.instagram.com/databricksinc/?hl=en Instagram /a . br br strong Benefits br br /strong /span 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 a href= https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing here /a . br br /p
p strong Our Commitment to Diversity and Inclusion /strong /p
p 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. /p
p strong Compliance /strong /p
p strong span style= font-weight: 400; 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. /span /strong /p /div