Technical Writer

Short Description
At SPREAD, we enable engineering teams at leading companies such as Mercedes-Benz, Volkswagen, BMW, Bosch, and Rheinmetall to navigate the complexities of software-defined vehicles and products
. Our platform transforms intricate engineering and software data into actionable Engineering Intelligence, providing teams with preconfigured applications and AI agents to access and apply critical product knowledge more effectively. This approach accelerates time-to-market by
up to 10×
,
r
educes costs by 50%
, and
enhances product quality
.

Recognized for our innovation with accolades like the
2024 SPARK AI Innovation Prize
(by Handelsblatt & McKinsey), inclusion in the
EU AI Champions Initiative
, and ranking among
LinkedIn's Top 20 Startups in DACH
, SPREAD offers a dynamic environment where your contributions directly impact the evolution of engineering intelligence.

Your Mission

• Ship docs with code using Git to ensure that docs and features land together.
• Run the doc site and its information architecture as one system, and customize the site where necessary.
• Maintain the GraphQL reference documentation to ensure users can access the knowledge graph.
• Document technical theory, tutorials, and references, and create courses for a technical audience.
• Create samples and exercises to show how to use the SPREAD product.
• Write for a tech audience with inclusive language and manage localizations.
• Triage and iterate with intention, manage the backlog, watch search queries and 404s, and publish refactors, redirects, and deprecations with clear notes.
• Improve the docs pipeline thoughtfully over time, choose automation that removes toil, and keep the focus on author experience and reader impact.

Your Experience

• 4-8 years of shipping developer documentation with a portfolio that proves guides, tutorials, and API or SDK reference that developers actually use.
• Experience writing for a B2B SaaS product and highly technical audiences, with an instinct for enterprise needs and constraints.
• Editorial strength with sharp line editing, consistent terminology and voice, localization-ready writing, and flawless English (German as a great advantage).
• Docs-as-code in production with Git workflows, PR reviews, plain text authoring, and a Static Site Generator such as MkDocs Material, Docusaurus, Hugo, or similar.
• Comfortable with building and maintaining websites using Markdown, HTML, CSS, JavaScript, YAML, JSON, and Python.
• Ability to read code and write small Python/JavaScript utilities to unblock docs, validate snippets, or glue tools together.
• Discovery and ownership through interactions with engineers, reproducing steps, verifying paths end-to-end, and running a docs epic with clear communication.

Nice to have:

• Experience operating or extending the docs pipeline with preview builds, link and style checks, and sensible quality gates.
• Structured authoring and taxonomy work that scales reuse and findability.
• Ability to run CI/CD with preview builds, link and spell or style linting, failing on red and fixinb quickly to green.
• Practical media skills such as tidy diagrams, clean screenshots, short task-centric screencasts, or podcast edits.
• Responsible use of AI for drafting and reviewing content, enabling search, and improving the documentation.

Why SPREAD?

• Category Creators: Our Agentic Engineering Intelligence platform connects fragmented hardware and software data into dynamic Product Twins. AI agents operate on this foundation to automate compliance checks, dependency analysis, and spec generation — enabling 10× faster time-to-market and 50% lower lifecycle costs for OEMs like Volkswagen, Mercedes-Benz, and Rheinmetall. Agentic EngineeringSPREAD's Engineering Tech
• Industry-Relevant Impact: Traditional PLM systems hit their limits with software-defined products. At SPREAD, you'll guide leading manufacturers into the AI-driven era of engineering — unlocking millions in savings. Engineering Intelligence
• High Growth & Ownership: We've grown double digits every year since 2019 — and there's a greenfield ahead in untapped industries and regions, ready for you to shape.
• Competitive Package: Attractive compensation + performance bonus, mobility budget (e.g. Deutschlandticket), Urban Sports Club membership, 30 vacation days, workation options, a volunteering day, and a €1,000 learning budget.
• Security & Flexibility: ISO 27001 and TISAX certified, fully GDPR-compliant, with flexible deployments (cloud or on-prem) and a hybrid work model designed to fit your life.

Contact
Dmytro İefymenko

SPREAD AI

Köpenicker Str. 40c | 10179 Berlin

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About Us
SPREAD is pioneering
Agentic Engineering Intelligence
. Our low-code platform transforms fragmented hardware and software product data into dynamic
Product Twins
, creating an AI-ready knowledge base that powers smarter decisions and automation across the entire product lifecycle.

At the heart of our technology lies the world's first
Universal Engineering Information Model (EIN)
— a semantic framework that connects domain-specific and lifecycle data into a federated
Engineering Intelligence Graph
, continuously evolving over time. This foundation enables specialized AI agents to execute tasks like compliance checks, dependency analysis, and specification generation — seamlessly integrated into the tools engineers already use.

The impact is tangible: companies using SPREAD achieve up to
10x faster time-to-market
,
50% lower lifecycle costs
, and
significantly higher product quality
.

Industry leaders such as
Volkswagen, Mercedes-Benz, BMW, Audi, Rheinmetall
, and others rely on SPREAD to build the next generation of software-defined products.

Headquartered in Berlin, SPREAD delivers
enterprise-grade security
(ISO 27001 & TISAX), full
GDPR compliance
, and flexible deployment options — in the cloud or on-premises.

Our Vision
The future of engineering is
data-driven and agentic
. We make product data the most accessible, intuitive, and impactful resource in engineering — so that engineers can unleash their full creativity and drive innovation at scale.