Technical Content Creator

About Altimate AI

Altimate AI builds AI-powered tooling for the modern data stack. Our open source project, Altimate Code, is an agentic coding harness for production environments, complemented by our long-running VS Code extension Power User for dbt. We work in a fast-moving, deeply technical space alongside data engineers, analytics engineers, and platform teams at companies running technologies like dbt, Snowflake, Databricks, and Airflow in production.

We're hiring a Technical Content Creator to help us scale how we explain, demonstrate, and evangelize this work to a technical audience.

Why this role exists

As our open source project scales, we need someone who can own the technical content engine end-to-end: come up with ideas, go deep on the product themselves, write/produce the asset, and ship it.

What you'll do

• Own technical content production across blog posts, long-form articles, tutorials, demo scripts, and use-case write-ups for Altimate Code.
• Generate original content ideas based on what's actually happening in the data engineering ecosystem, producing innovative, opinionated, useful content for practitioners
• Go deep on the product Install it, run it, break it, understand it. You should be able to write a hands-on tutorial without needing engineering support
• Contribute to video and multimedia assets: use-case videos, GIFs for the website, demo walkthroughs.
• Support SEO and AEO efforts: write for both human readers and generative search engines
• Help build a repeatable content engine: templates, editorial workflow, content calendar, distribution checklist
• Distribute: package content for Reddit, LinkedIn, Hashnode, dbt Slack, and our email program

Who you are

We are not looking for a “data influencer” but rather an experienced technical writer or DevRel professional looking to boost the understanding, adoption and usage of the leading agentic data engineering platform.

Required

• Hands-on technical depth in the modern data stack. You've worked with at least some of: dbt, Snowflake, Databricks, Airflow, SQL at scale, Python data tooling. You can read a SQL transformation, a YAML model file, or a Python notebook and understand what it's doing
• Strong writing chops. You can produce a 1,200-word technical article that a data engineer would actually finish reading, with clear structure, opinionated angle, and no fluff
• Ability to learn a product deeply and independently. You install things, you read the docs, you appreciate the ergonomics.
• Comfort with AI tools as accelerators. Claude, Cursor, etc. are part of the workflow, but the ideas, judgment, and technical accuracy come from you
• Self-directed. You take a brief and ship, you raise blockers early, you don't need daily check-ins, and push content through review proactively