Technical SEO Content Engineer (SaaS / Developer Docs) REMOTE

Remote, USA
Posted Jun 14, 2026
Full-time

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

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