Marketing & AI Lead for Space Startups

DTU — Technical University of Denmark; Kongens Lyngby; On-site; DKK 121,000 - 161,000; Part time

Job summary

DTU Lyngby is seeking a part-time Marketing and AI Officer to own automation and AI-driven outreach. You will map workflows, identify repetitive tasks, and build automated content pipelines for LinkedIn and campaigns.

The role focuses on experimenting with AI agents, no-code tools, and cross-team automation, while sharing knowledge through internal sessions. Start date: 1 December 2026.

Qualifications

• You are studying entrepreneurship, innovation, or a related field, and you have a genuine interest in the new space economy.
• You are comfortable using AI tools like ChatGPT or Claude in your daily work, but you know when they are being weird and when to trust your own judgment instead.
• You are curious about AI agents, automation, and workflow design, and excited to experiment with tools like n8n or OpenClaw.
• You are proactive, organised and able to prioritise, and you are just as happy building a tool as writing a newsletter.
• Some experience with LinkedIn, email tools, analytics or no-code automation platforms is a plus,but not required if you like figuring things out.

Responsibilities

• Build automated content pipelines for LinkedIn posting cadence.
• Map workflows across marketing, outreach and other activities for automation.
• Set up automated onboarding journeys and segmented email campaigns.
• Explore AI tools that surface signals from news outlets and the ecosystem.
• Improve integration of digital tools to surface richer signals.
• Share AI knowledge internally via lunch-and-learns and practical solutions.

Skills

AI tools

Workflow design

No-code automation

LinkedIn outreach

Analytical mindset

Proactive planning

Education

Entrepreneurship/Innovation studies

Tools

n8n

OpenClaw

ChatGPT

Job description

DTU Lyngby is seeking a part-time Marketing and AI Officer to own automation and AI-driven outreach. You will map workflows, identify repetitive tasks, and build automated content pipelines for LinkedIn and campaigns.

The role focuses on experimenting with AI agents, no-code tools, and cross-team automation, while sharing knowledge through internal sessions. Start date: 1 December 2026.