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
