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Product + Automation Engineer at IQ Capital

Join IQ Capital, a $1bn AUM deep tech venture capital firm, as their Product + Automation Engineer. This is a unique high-autonomy role where you will build the firm's core data foundations and AI-driven investment workflows from scratch. Working directly with partners in a lean team, you’ll apply LLMs and data engineering to shape how one of Europe’s leading VC funds sources and supports the next generation of IP-rich companies in quantum, AI, and biotech.

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IQ Capital

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Location

London, United Kingdom

Compensation

Not Disclosed

Company

IQ Capital

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Role overview

As a Product + Automation Engineer, you will own IQ Capital’s core data foundations and AI workflows. Sitting at the heart of the investment platform, you’ll design intelligent systems for deal sourcing, portfolio monitoring, and fund operations. This high-autonomy role offers a rare opportunity to build a firm’s technical edge from the ground up.

IQ Capital is a dedicated European deep tech venture capital firm that invests in B2B frontier-technology companies from pre-Seed and Seed through Series A and into growth stages.[3][4] The firm is headquartered in Cambridge and London in the United Kingdom and focuses on IP-rich, globally scalable technologies across sectors such as AI and automation, computing and semiconductors, cloud and enterprise infrastructure, advanced engineering and energy, security and resilience, and health and bio.[1][2] IQ Capital typically leads early-stage rounds with initial investments of roughly $1–10 million and can follow on with up to $40 million via its growth opportunity funds, managing over $1 billion in assets across multiple funds.[1][2] The firm’s strategy is to back deep tech founders developing transformative technologies that can underpin the next generation of globally significant companies, providing both capital and hands-on support to help them commercialize cutting‑edge research and scale internationally.[1][2][3]

What you will do

  • Design and scale robust data foundations, including modeling, quality enrichment, and governance across all internal and external data sources.
  • Build and deploy pragmatic AI/ML solutions, such as LLM-enabled research and automated document analysis, to streamline sourcing and diligence.
  • Partner directly with senior stakeholders to translate strategic investment needs into proprietary data products and scalable automated workflows.

Who this is a fit for

  • Possesses 2–4 years of experience in data engineering or machine learning engineering with a proven track record of owning production-level systems.
  • Demonstrates technical mastery of Python, SQL, and APIs, with the ability to build end-to-end data solutions from ingestion to user-facing outputs.
  • Exhibits a commercial mindset and the ability to operate autonomously in ambiguous environments, translating complex business needs into technical leverage.

Why this role is remarkable

  • Enjoy complete ownership of the firm’s data and AI strategy, building production-ready systems that directly influence investment decisions and fund operations.
  • Join a prestigious deep tech VC with $1bn AUM and a portfolio of 60+ companies across cutting-edge sectors like quantum and semiconductors.
  • Work in a high-impact, low-bureaucracy environment with direct access to partners, avoiding the siloed structures typical of larger financial institutions.

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Jill
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Jill is the AI recruiter working for the company. She recruits from Jack’s network.

If your profile’s a match and IQ Capital wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.

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