We’re looking for a high-impact AI/ML Developer Advocate to be the technical voice of Verda - someone who creates advanced, practical content for AI developers and the wider ML community.

If you enjoy building, experimenting, learning new tools, and translating complex topics into accessible insights, this role is for you. You’ll help developers optimize ML workflows, choose the most optimal GPU infrastructure for their use cases, and stay up to date with the latest technologies.

You’ll publish hands-on content, create technical tutorials, run GPU benchmarks, and collaborate with researchers - as well as speak at community events, build demos, and engage with leading AI ecosystems. You’ll help shape how Verda connects with the builder community across Europe and beyond.

This is a technical creation and community leadership role - not traditional marketing.

• Competitive cash and equity package, plus benefits (healthcare, lunch, wellbeing, etc.)
• Profitable operations with rapid, sustained growth
• A role with clear impact, where your work directly drives our growth through developer advocacy
• A genuine once-in-a-lifetime opportunity to join one of Finland’s few true explosive growth stories, shaping a category-defining AI cloud from the ground up
• Work alongside world-class engineers, researchers, and partners across the global AI ecosystem
• A small, high-performing team of around 70 people representing 27 nationalities
• A community-driven atmosphere – including the occasional BBQ hosted by Ruben (CEO by day, master chef by night)
• Flexible hours with hybrid or remote work across Europe

• Location: Helsinki or Remote across Europe
• Start date: December–January (flexible)
• Contract type: Full-time (freelance or part-time considered for those completing academic research)
• Working language: English

• Create technical content for AI builders: deep-dive articles, benchmarks, walkthroughs, and tutorials
• Produce code-first demos covering training, fine-tuning, and inference
• Work closely with engineering teams to identify high-impact ML/AI topics
• Represent Verda at conferences, meetups, webinars, and AI community events
• Collaborate with external organisations on co-authored content and technical deep dives
• Translate new features and platform improvements into useful, developer-focused content
• Build reproducible technical assets including notebooks, repos, example pipelines, and integrations
• Repurpose content across formats: social clips, technical threads, workshops, and talks
• Own the publishing schedule and content calendar
• Collaborate with Marketing Ops to measure performance, track reach and engagement, and support data-driven optimisation
• Measure adoption and engagement, iterate, and refine content strategy

• Strong technical foundation in AI/ML, deep learning, or GPU/compute infrastructure
• Experience producing technical content - blogs, talks, demos, repos, or tutorials
• Ability to simplify complex ML concepts into practical insights for developers
• Comfortable coding in Python and familiar with ML frameworks (PyTorch, TensorFlow, JAX, LangChain, etc.)
• Understanding of training, inference, optimisation, and MLOps workflows
• Strong communication and storytelling skills for a technical audience
• Organised, self-driven, and able to manage multiple content streams
• Active in developer communities - open source, meetups, Discord/Slack groups, etc.
  
  Nice-to-haves
• Experience with diffusion models, LLM fine-tuning, RAG, vector databases, GPU kernels, or distributed training
• Open-source contributions or published demos/tutorials
• Experience in a dev-focused AI company
• Background in hosting workshops, hackathons, or livestreams
• Strong network within AI research or engineering communities

• Publish high-quality, technically robust content that genuinely resonates with AI developers
• Build a strong external presence and increase visibility across AI and ML communities
• Establish Verda as a trusted, authoritative voice in training, fine-tuning, inference, and AI infrastructure
• Expand organic reach, engagement, and influence across key ML ecosystems
• Deliver measurable impact on developer adoption, platform signups, and inbound demand
• Build a long-term, scalable content engine aligned with go-to-market priorities, developer advocacy, and product strategy

1. Intro call (45 minutes): Meet with TA and explore role alignment
2. Technical interview (60 minutes): Discuss ML/AI depth, examples of work, and your approach
3. Final interview (60 minutes): Meet with our CEO, CTO, and members of the team
4. Optional: Portfolio or example content review

Apply soon – we’ll close the advert once we’ve identified the right person. Please apply through our Careers page. 

We do not accept applications via email.