Overview
We are looking for a remote contractor to transform our technical documentation, written in GitBook (https://docs.nalpeiron.com), into a high-performing SEO acquisition channel.
This is not a traditional writing role — it requires structuring, optimizing, and expanding technical content to rank in search and AI-driven discovery (ChatGPT, Google SGE).
It will require the use of AI tooling and the latest techniques to speed up the process and get better results.
This is a core role for us - you will be our “Docs Growth Owner”, not just a technical writer.
You will own:
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KPI: organic traffic + rankings
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Ownership of docs, SEO, and content >page 1
- Ownership of AI placement, so the docs pages are recommended in all AI engines
- Backlinking strategy between various properties
- Opportunity to own our full docs process if this project is successful, i.e., technical writing and doc production
We will filter candidates by:
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Thinking quality and use of AI toolset
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Structure and quality output (not just AI B.S. blurb)
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Technical understanding of the messaging and ability to communicate technical concepts
About Us (nalpeiron)
Nalpeiron provides enterprise-grade software monetization infrastructure (entitlements, licensing, usage analytics). Our platform sits at the core of modern SaaS and IoT monetization architectures. We are 21 years old, stable, profitable, and a key player in our industry.
Responsibilities
1. Documentation SEO Optimization
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Rewrite existing docs pages to align with high-intent search queries
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Improve titles, headings, and on-page keyword targeting
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Add contextual introductions and use cases to technical pages
- Work with colleagues to generate content (you are not alone)
- Ensure our content remains high quality, detailed, useful, and of value to developers
2. Pillar Content Creation
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Create 5–10 long-form “pillar” technical guides (2,000–4,000 words)
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Example topics:
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Entitlement Management Architecture
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Usage-Based Licensing Implementation
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Software Licensing System Design
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Hybrid Monetization Models
3. Internal Linking & Topic Clusters
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Build structured internal linking across docs and marketing pages (working with marketing team)
- Recycle video and training content into the docs from the university and other sources
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Create topic clusters (licensing, entitlements, usage, APIs)
4. Technical Content Enhancement
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Add/create:
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Architecture diagrams (can be simple)
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API examples
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Step-by-step implementation flows
- Video content
- Use cases
5. Schema & AI Optimization
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Implement FAQ, HowTo, and TechArticle schema
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Structure content for AI search visibility (clear definitions, summaries)
6. Ongoing Content & Maintenance
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Continuously expand docs with new SEO-driven pages
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Monitor rankings and iterate on content monthly
- Produce a monthly report on progress and rankings vs competition
Requirements
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Proven experience with:
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SaaS, APIs, or developer documentation
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Technical SEO (not just blog SEO)
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Strong understanding of:
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Software architecture concepts (APIs, licensing, usage tracking)
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Search intent and keyword mapping
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Ability to turn fragmented docs into structured, ranking content
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Fluent written English (native or near-native)
- Strong use of the latest AI tooling (we will buy as required)
Bonus
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Experience with:
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Monetization, billing, or licensing systems/software development (SDLC), etc
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Tools like Ahrefs, SEMrush, SurferSEO
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Markdown-based documentation systems
Deliverables (First 60 Days)
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Audit of existing docs and their rank in key AI/search queries
- Understanding of our keyword/ranking strategy
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Optimization of the top 50 pages
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5-10 pillar pages with associated child pages created
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Internal linking structure implemented
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Measurable increase in indexed pages and impressions
Engagement Model
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Initial project: 4–8 weeks
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Remote, async-friendly
How to Apply
Please include:
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Examples of technical content you’ve written (docs, APIs, or SaaS)
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Before/after SEO improvements you’ve delivered
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Tools and processes you use for SEO + content structuring