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