Technical SEO Content Engineer (SaaS / Developer Docs) REMOTE

# 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 (https://www.nalpeiron.com))

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