About Hevo:
Hevo is a no-code Data Pipeline platform trusted by 1,000+ companies globally, including Postman, Shopify, Doordash and Gartner. Backed by $42M from Peak XV Partners and Chiratae Ventures, we power the data infrastructure of companies that move fast.
We are consistently rated #1 on G2 in the ETL and Data Integration category (4.5+ rating) and are a Snowflake Premier Partner. Our product is in the market, loved by customers, and now entering its next growth phase.
With 600+ US customers already on the platform and a product that has matured significantly over the last two years, this is the ground-floor moment. Before the team scales, before the brand becomes obvious. The upside is real and uncapped.
About the Role:
We're looking for an Associate Technical Writer who's comfortable working in a docs-as-code environment and can partner with AI tools (e.g., Claude) for all aspects of the work — not just writing, but operating within an automated documentation pipeline.
This is an opportunity to own documentation end-to-end within a modern, AI-assisted workflow, working closely with engineering, product, and support stakeholders to keep a shared source of truth accurate and consistent.
What You'll Do:
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Create and maintain user documentation using a docs-as-code workflow — Markdown/YAML source files, Git-based version control, and CI-driven publishing (e.g., Jekyll).
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Independently own small documentation tickets and projects end-to-end, from research through PR merge.
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Use AI-assisted tools (Claude or equivalent) to draft, summarize, restructure, or QA content, while critically reviewing and editing AI output rather than publishing it as-is.
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Conduct research and gather technical information from product specs, engineering discussions, and existing docs to fill knowledge gaps.
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Follow and help enforce documentation standards, style guides, and metadata conventions (e.g., structured fields for error messages, FHS-style rule sets) across a shared source of truth.
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Work in Git-based workflows: branching, raising PRs, responding to review comments, and triggering automation for doc builds/publishing.
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Collaborate with engineering, product, and support stakeholders to validate technical accuracy before publishing.
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Flag ambiguous, unverified, or inferred content rather than publishing unconfirmed information.
What We're Looking For:
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Strong written English and ability to simplify technical concepts for end users.
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Basic familiarity with Markdown, Git (clone/branch/commit/PR), and a willingness to use docs-as-code tooling.
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Comfort using AI writing/review tools as part of a daily workflow (prompting, verifying, editing output), including the ability to create and manage Claude skills.
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Ability to read and interpret product UI, API docs, or basic YAML/JSON structures well enough to document them.
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Detail-oriented, especially around consistency (terminology, tone, formatting) across a large, distributed content set.
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0-2 years of experience in technical writing, content, or a related field; internships or academic writing experience acceptable.
Bonus Points:
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Exposure to a ticketing/PM tool (Jira, Confluence) and Slack-based collaboration.
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Intermediate AI skills creation.