Technical Copywriter
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Job Description
Technical Copywriter crafting developer-facing content for Subquadratic's AI LLM platform. Writing launch posts, API guides, and benchmarks while collaborating directly with engineering and product teams.
Responsibilities:
- Developer-facing technical content
- Launch blog posts and technical announcements written for engineers, not marketing audiences
- API quickstarts, integration guides, and tutorials that end with the developer having done something real
- SDK and API reference documentation that is accurate, complete, and fast to navigate
- Launch benchmark reports with full methodology - structured to be cited by press and AI answer engines
- Technical comparison content written with absolute metrics, not relative claims
- Ongoing benchmark and evaluation content that keeps SubQ visible as the competitive landscape shifts
- SEO, AEO, and GEO content
- Evergreen technical content optimized for search and AI answer engine citation
- Content strategy that treats engineers as the primary reader and rankings as a byproduct
- Structured content that surfaces correctly in LLM-generated answers - not just Google
Requirements:
- You've written technical content for a developer-first company.
- Your portfolio has pieces engineers have actually shared or cited.
- You understand AI infrastructure and LLMs at an engineering level.
- You can write about inference tradeoffs, context windows, and API design without being briefed on what those things mean.
- You write with conviction. Specific claims, sourced numbers, no hedging. Absolute metrics land harder than relative ones.
- You know the difference between writing for search, writing for AI citation, and writing for technical communities - and you've done all three.
- You're comfortable working directly with engineers. Technical accuracy isn't someone else's problem - it's yours.
- You have strong opinions about what good developer content looks like. Stripe's docs and the Cloudflare blog are useful reference points for the standard we're aiming for.
- You have experience writing benchmark methodology documentation or ML evaluation content
- You've built with LLM APIs in production - not just written about them
Benefits:
- Competitive base salary
- Performance-based bonus aligned with research and model milestones
- Equity participation
- Comprehensive health, dental, and vision coverage
- Flexible paid time off
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