ppCompensation: Up to £160k + fund participation carried interest. /p h3About /h3 pThis 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. /p pThe 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. /p pYou’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. /p h3What you'll do /h3 ul liConnect their core tools into a unified internal platform /li liBuild meeting intelligence workflows that extract actions, decisions, and relationship context from call transcripts /li liAuto-populate CRM records from deal memos, meeting notes, and email context so investors spend time on decisions, not data entry /li liEliminate double outreach and information gaps across investment, talent,



and ops teams operating globally /li liBuild and maintain internal tools used daily by investors and the ops team — migrating existing workflows onto secure, compliant infrastructure /li liScrape and structure data from the web to support sourcing, market mapping, and due diligence /li liBuild models that surface high-potential founders earlier, drawing on signals across deal flow, network, and market data /li liDesign prediction systems that inform investment decisions: market timing, founder trajectory, portfolio signals /li /ul h3What you'll need /h3 ul liStrong Python across backend, automation, and AI workflows; comfortable across the full stack /li liHands-on experience with LLMs, agents, or AI-enabled workflow systems in production /li liAPI integration experience across CRMs, calendar systems, and data platforms /li liSolid backend system design and data architecture fundamentals /li liTrack record of taking products from zero to production with limited oversight /li liSecurity and compliance awareness for internal systems handling sensitive data /li liClear communication with non-technical stakeholders — partners and ops, not just engineers /li /ul pShortlisted candidates will be contacted within 48 hours. /p /p #J-18808-Ljbffr

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