Unknown - AI Systems Engineer
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Requirements
• Strong technical background: database schemas, REST/GraphQL API integrations, vector databases, and automation pipelines, end-to-end and without hand-holding. • Fluency with AI as a development tool. You use Claude Code, Cursor, or similar and actively think about where agents can replace manual work. • Commercial mindset and strong prioritization: you know which systems move the needle and focus there. • Senior enough to own a roadmap and hold architecture conversations with leadership. • Bonus: a background in software development, experience with HubSpot APIs, AI agent frameworks, or marketing/content automation.
Responsibilities
• Own and evolve our data infrastructure: Supabase, n8n workflows, HubSpot integrations, and the pipelines connecting external platforms like Skilljar and HockeyStack. • Take technical ownership of our content factory: tooling, automation pipelines, and agent orchestration that let a small team produce at scale. • Think through the user journey and create UI integrations into existing solutions (e.g., Airtable) or buy or build and maintain simple UI interfaces for databases, etc. (search, export data, import to other workflows). • Keep our stack modular and replaceable, evaluating tools continuously and making changes before we become dependent on the wrong ones. • Reduce manual overhead systematically by building automations and agent workflows that replace repetitive processes. • Work with leadership as a peer on architectural decisions and infrastructure direction, not just as an implementer.
Benefits
• Your work will directly enable a community of 35,000+ platform engineers worldwide. • Real ownership of core infrastructure, with the autonomy to shape it. • Fully remote across Europe, strong async culture, low-ego team. • Competitive salary and room to grow as our ambitions scale. • If this sounds like a fit, we would love to hear from you!Have questions before applying? Reach out to us at [email protected] • [email protected]
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