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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.
$150ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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7+ years of enablement, learning design, sales or consulting experience. Curate relationships with senior executives in sales, field engineering, customer success, product development and elsewhere in the business to be able to translate varying expertise into digestible learning content for our sellers.
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Founded by the original creators of Apache Spark, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical, split-focused team (70% pre-sales, 30% technical acumen/demonstrations), you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Familiarity with big data technologies such as Apache Spark, Delta Lake, and MLflow is a plus. Founded in late 2020 by a small group of machine learning researchers, Mosaic AI enables companies to create state-of-the-art AI models from scratch on their own data.
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You have expertise in Data Science, Machine Learning, Generative AI, NLP and Computer Vision and expertise in using PySpark and SQL. You will excel in distilling product features into a compelling value proposition and enabling Account Executives and Field Engineers to communicate the value in a way through content and demonstrations.
$221,800 - $392,300Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets. [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role.
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5+ 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). Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals. Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal cross-functional teams.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs. Reporting to a Director of Field Engineering, the Manager, Solutions Architects (SAs) will help lead a team of SAs for the Financial Services segment of Databricks’ Field Engineering team.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Must be technical enough to earn the trust of Engineering talent and leadership at Databricks. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.
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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.
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