Developer Relations Engineer (Content-First)

Reposted 16 Hours Ago
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Hiring Remotely in SWE
Remote
Mid level
Artificial Intelligence • Software
The Role
Create engaging content related to Rerun's technologies, build demos in Rust and Python, engage with the community, and produce technical materials.
Summary Generated by Built In

At Rerun, we’re building the multimodal data stack for Physical AI. Large parts of the physical-world economy will be transformed by these technologies, and we're developing the data infrastructure and tools that make it possible. Rerun’s open-source project focuses on visualizing and handling multimodal logs and is already loved by some of the best teams in the world.

We are looking for a content-first DevRel to help us tell the story of Rerun. You’ll create engaging content, showcase what’s possible with our tools, and grow our community of robotics and ML engineers.

If you love making technical tools approachable, telling stories through content, and connecting with developers where they are, this role is for you.

What You’ll Work On

90% Content & Storytelling

  • Create a steady stream of engaging content: short-form videos, blog posts, memes, examples, GIFs, tutorials.

  • Build demos and examples in Rust and Python that help robotics engineers quickly go from “I learned this” to “I can try this myself.”

  • Curate and share content across channels (X/Twitter, LinkedIn, YouTube Shorts, Reddit, HN, robotics/ML forums).

  • Be in the front row of Physical AI: implement and highlight relevant papers, projects, and research.

  • Bring personality and polish to everything you publish.

10% OSS Support & Community Touchpoint

  • Triage and answer GitHub issues, PRs, and Slack/Discord questions.

  • Keep docs and quickstarts clear, helpful, and fresh.

  • Reduce support load on our engineers so they can focus on product development.

We’d Love It If You Have
  • Prior experience in Developer Relations, Developer Advocacy, or technical content.

  • Experience writing technical content about robotics, machine learning, computer vision, and/or databases

  • Robotics experience and/or curiosity: you get the field and can spot where our tools fit in

  • Technical credibility: comfortable with Rust and Python to write small examples, demos, and tutorials.

  • Natural content producer: you already blog, post, or share your work (YouTube, GitHub, Twitter/X, LinkedIn, etc.) and have a following on social platforms or a history of creating technical content

  • Storyteller mindset: you can explain technical tools in a fun, polished, and approachable way.

  • Community-oriented: active where developers hang out (Twitter/X, Reddit, HN, Discord, LinkedIn) and excited to engage with robotics/ML/Rust communities.

  • Empathy for developers: you understand how engineers think and can communicate in their language.

  • Bias for action: you publish often, experiment, and learn fast.

  • Aptitude for communication: you enjoy helping others, answering questions, and building clarity.

How we work at Rerun
  • We're a remote company headquartered in Stockholm, Sweden.

  • We meet up in person for a week roughly once a quarter

  • The team you'll join has members in European and US-east timezones

    • Everyone is available for synchronous work between 1:30–5:00pm CET.

      Given our current team distribution, candidates outside of Europe or the US will be considered on a case-by-case basis to ensure there’s enough overlap for effective collaboration.

  • We've put together a stacked team, value agency and helpfulness highly, and expect everyone to take broad responsibility for what they build

  • We offer competitive cash and equity compensation, six weeks paid vacation, and whatever hardware and software you need to do your job

Top Skills

Python
Rust
Am I A Good Fit?
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The Company
HQ: Stockholm
48 Employees
Year Founded: 2022

What We Do

Rerun is building the data stack for Physical AI.
Open source logging and visualization multimodal data. Managed infrastructure to ingest, store, analyze, and stream data at scale with built-in visual debugging. Fast, flexible, and easy to use.

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