Job Description
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:
KPI: organic traffic + rankings
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:
Thinking quality and use of AI toolset
Structure and quality output (not just AI B.S. blurb)
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
Rewrite existing docs pages to align with high-intent search queries
Improve titles, headings, and on-page keyword targeting
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
Create 5–10 long-form “pillar” technical guides (2,000–4,000 words)
Example topics:
Entitlement Management Architecture
Usage-Based Licensing Implementation
Software Licensing System Design
Hybrid Monetization Models
3. Internal Linking & Topic Clusters
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
Create topic clusters (licensing, entitlements, usage, APIs)
4. Technical Content Enhancement
Add/create:
Architecture diagrams (can be simple)
API examples
Step-by-step implementation flows
Video content
Use cases
5. Schema & AI Optimization
Implement FAQ, HowTo, and TechArticle schema
Structure content for AI search visibility (clear definitions, summaries)
6. Ongoing Content & Maintenance
Continuously expand docs with new SEO-driven pages
Monitor rankings and iterate on content monthly
Produce a monthly report on progress and rankings vs competition
Requirements
Proven experience with:
SaaS, APIs, or developer documentation
Technical SEO (not just blog SEO)
Strong understanding of:
Software architecture concepts (APIs, licensing, usage tracking)
Search intent and keyword mapping
Ability to turn fragmented docs into structured, ranking content
Fluent written English (native or near-native)
Strong use of the latest AI tooling (we will buy as required)
Bonus
Experience with:
Monetization, billing, or licensing systems/software development (SDLC), etc
Tools like Ahrefs, SEMrush, SurferSEO
Markdown-based documentation systems
Deliverables (First 60 Days)
Audit of existing docs and their rank in key AI/search queries
Understanding of our keyword/ranking strategy
Optimization of the top 50 pages
5-10 pillar pages with associated child pages created
Internal linking structure implemented
Measurable increase in indexed pages and impressions
Engagement Model
Initial project: 4–8 weeks
Remote, async-friendly
How to Apply
Please include:
Examples of technical content you’ve written (docs, APIs, or SaaS)
Before/after SEO improvements you’ve delivered
Tools and processes you use for SEO + content structuring
