Sr. Developer Advocate - Neon
Databricks8 months ago
Base Salary
$153k - $210k/yr
Responsibilities
- Enhance and develop customer-facing SDKs and libraries for Neon builders.
- Maintain and extend Neon’s TypeScript SDK, CLI, MCP server, and other developer-facing tools.
- Create videos, tutorials, sample projects, blog posts, and other developer-focused educational resources.
- Speak at conferences and events and engage developers through online communities such as Discord.
- Grow the Neon community and strengthen relationships with application and agent developers.
- Create and manage creator, ambassador, open source, and other developer-focused engagement programs.
- Collaborate with product, engineering, program managers, and fellow advocates to deliver an agent experience strategy.
- Collect, analyze, and communicate community feedback to improve product experience and influence roadmap decisions.
Requirements
- At least 5 years of experience as a Developer Advocate, software engineer, solutions architect, or related professional.
- Professional experience building and shipping software or data solutions.
- Ability to own outcomes and deliver with minimal supervision.
- Demonstrated ability to create impactful technical content for developers.
- Deep empathy for developer needs and the ability to provide clear answers in community spaces.
- Mastery of at least one core advocacy skill, such as public speaking, technical writing, live demos, or curriculum development.
- Applied expertise in relevant product components and the ability to translate them into practical guidance.
- Exceptional written and verbal communication and presentation skills.
- Active involvement in developer communities such as meetups, forums, open source, or user groups.
- Experience collaborating across functions to achieve shared goals.
Benefits
- Comprehensive benefits and perks, with region-specific details available through Databricks' benefits site.
Tech Stack
Categories
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.