Building data and AI-driven software is still way too hard, even for advanced developers. At Spice AI, we’re helping developers combine code with data and machine learning (ML) to create truly intelligent, decision-making applications. Spice AI is on a mission to make this as easy as creating a modern web page.
Spice AI is the creator and primary maintainer of Spice.ai OSS; a unified SQL query interface and portable runtime to locally materialize, accelerate, and query data sourced from any database, data warehouse, or data lake. Spice OSS enables developers to build both data and AI-driven applications by co-locating data and ML models with applications. Read more about the vision to enable the development of intelligent AI-driven applications. Spice AI is also building the Spice.ai Cloud Platform; building blocks for data and AI-driven applications, including managed, cloud-scale Spice.ai OSS. The Cloud Platform enables developers to compose high-performance SQL query, machine learning training and inferencing, in a single, interconnected AI backend-as-a-service. As the first Product Marketing Manager at Spice AI, you will play a crucial role in driving go-to-market for the
Spice.ai open-source project and the
Spice.ai data and AI platform. You will be responsible for developing and executing comprehensive marketing strategies that connect with our developer audience.
You've done this before. Your relevant experience marketing open-source, data, and AI products will have previously earned you the respect of open-source and engineering communities. You have published excellent written content, marketing materials, and documentation.
This is a hands-on role. Expect to join the all team, including the CEO, in building, developing, and marketing the platform.
About Spice AI
Founded in June 2021 by Microsoft and GitHub alumni Luke Kim and Phillip LeBlanc, Spice AI creates technology to help developers build intelligent apps that learn and adapt.
Before co-founding Spice AI, Luke was the co-creator of Azure Incubations in the Office of the Azure CTO, where he led cross-functional engineering teams to create and develop technologies like
Dapr and
OAM.
Learn more: