Field Engineering, Generative AI Product Specialist

The Product Specialist for Generative AI will lead the enablement, expertise, and backline support for our customer-facing field team with for Generative AI including supporting RAG (retrieval augmented generation), open source models like Llama2, MPT, Mistral, 3rd party models including OpenAI, Vector Indexing and foundational model pre-training using MosaicML.

You will partner with the Product Manager(s) to co-lead the product adoption targets and help to define the product direction and inform our product strategy with our go-to-market field teams.

You will represent the product internally to our field engineering teams, and externally to the market via speaking at conferences, online webinars, and blog posts. You will meet with customers to communicate the vision and gather feedback.

You will not have any direct reports but will recruit, lead, encourage, and reward a group of specialists across the field dedicated to enable Generative AI use cases on Databricks. We ask that you be operational rigor so that incoming requests to present, demo, and deep-dive are assigned and handled promptly.

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. You will report to the Global Product Specialists Leader under our Field Engineering organization.

About Databricks

Databricks is the data and AI company. 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. 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.

Field Engineering, Generative AI Product Specialist - Databricks