Spice AI

Developer Relations Lead

Bellevue, Washington

Sponsorship not specified$205k-$250kDetected 460 days ago

GitAzureMachine LearningLeadershipCommunicationPublic SpeakingWriting

About the role

This new generation of applications need fast, secure access to data across disparate systems, the ability to search and reason over that data, and infrastructure that's reliable enough to run in production.
Today, teams often need to piece together query engines, search systems, caches, and AI tooling, adding significant complexity along the way.
You will enjoy being one of the public technical faces of Spice AI, responsible for leading and executing developer relations and product marketing.

Work with the CEO to develop Spice AI's DevRel and Product Marketing strategy for 2025.
Building data-driven AI applications and agents is too complex, even for advanced developers.
At Spice AI, we simplify this by unifying query federation, search, and AI into a single runtime for building intelligent applications.
Our mission is to make building AI-powered software as easy building a modern web application and help developers build the next generation of applications.

You are a proven, hands-on technical thought leader.
You enjoy the process of writing and crafting high-quality written content.
You are a creative problem solver and approach solutions from different angles, focusing on possibility, rather than limitations.
When faced with ambiguity, you are a guiding north star and provide clarity to the team.
You are passionate about high performance and have high standards.
4-6 years of proven experience in developer relations, advocacy, product marketing, or a similar role.
A track record of excellent marketing and communication decisions.

Take ownership of the execution and success of DevRel, Developer Marketing, and associated assets and channels.
Spice AI also has notable VC backing from Madrona Venture Group, Basis Set Ventures, Founders' Co-op, and Picus Capital.

This listing is sourced directly from Spice AI's careers page and normalized into a canonical job model.