Compensation: Up to £160k + fund participation & carried interest.AboutThis is one of the best-performing early-stage VC firms in Europe, with a 15-year track record of backing companies that went on to define their industries.The firm’s most valuable data currently sits across disconnected tools and systems. This role exists to connect those systems, remove the manual work between them and turn years of company, founder and relationship data into something genuinely useful.You’ll build an internal platform that cleans and joins messy data, automates workflows and uses applied AI to surface promising founders earlier. You’ll be the first senior engineer inside a deliberately lean, well-capitalised investment firm, working directly with its partners. You’ll own the platform end to end, from architecture and integrations to interfaces and AI workflows.What you'll doConnect their core tools into a unified internal platformBuild meeting intelligence workflows that extract actions, decisions, and relationship context from call transcriptsAuto-populate CRM records from deal memos, meeting notes, and email context so investors spend time on decisions, not data entryEliminate double outreach and information gaps across investment, talent,



and ops teams operating globallyBuild and maintain internal tools used daily by investors and the ops team — migrating existing workflows onto secure, compliant infrastructureScrape and structure data from the web to support sourcing, market mapping, and due diligenceBuild models that surface high-potential founders earlier, drawing on signals across deal flow, network, and market dataDesign prediction systems that inform investment decisions: market timing, founder trajectory, portfolio signalsWhat you'll needStrong Python across backend, automation, and AI workflows; comfortable across the full stackHands-on experience with LLMs, agents, or AI-enabled workflow systems in productionAPI integration experience across CRMs, calendar systems, and data platformsSolid backend system design and data architecture fundamentalsTrack record of taking products from zero to production with limited oversightSecurity and compliance awareness for internal systems handling sensitive dataClear communication with non-technical stakeholders — partners and ops, not just engineersShortlisted candidates will be contacted within 48 hours.#J-18808-Ljbffr

📌 Staff AI Engineer (Madrid)
🏢 Axiōma Search
📍 Madrid