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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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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.
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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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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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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.
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As a Specialist Solutions Architect (SSA), you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organization. Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, and participating in the larger ML SME community in Databricks.
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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.
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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. Must be technical enough to earn the trust of Engineering talent and leadership at Databricks.
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You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market. 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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At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is committed to fair and equitable compensation practices. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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