You will serve as the sole architect of the firm’s data foundations and automation workflows. This high-autonomy role bridges the investment and platform teams, empowering you to build proprietary data products and deploy pragmatic AI/ML solutions that directly influence deal sourcing, portfolio monitoring, and fund operations at a premier European venture fund.
Product + Automation Engineer at IQ Capital
Join a premier London-based venture capital firm with $1bn AUM as their first Product + Automation Engineer. In this high-autonomy role, you will sit at the heart of the investment platform, building the firm's core data foundations and deploying pragmatic AI/ML systems from scratch. You'll work directly with partners to shape how they source deals and support 60+ deep tech companies across AI and quantum. If you have 2-4 years of data engineering experience and want to bridge the gap between technical builds and high-stakes investment decisions, this is a rare opportunity to define a fund's technical edge.
About this role
Role overview
About the company
IQ Capital
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'll do
What you will do
- Design and scale the firm’s data foundations, including sophisticated modeling, enrichment, and governance for internal and external data sources.
- Deploy pragmatic AI/ML systems such as LLM-enabled research tools and automated document analysis to drive organizational leverage.
- Develop proprietary data products that provide a competitive advantage in market mapping, investment diligence, and portfolio reporting.
Who you are
Who this is a fit for
- 2-4 years of professional experience in data or ML engineering with a proven track record of shipping and owning production systems.
- High proficiency in Python and SQL with the ability to build end-to-end data solutions from ingestion to user-facing applications.
- Commercially minded problem-solver who can translate ambiguous strategic needs into durable technical systems within a high-judgment environment.
Why this role
Why this role is remarkable
- Rare opportunity to join a technical investment team of 18 as a "team of one," with direct access to partners and no bureaucratic silos.
- Full ownership of the firm’s technical edge, building the core data and AI infrastructure from the ground up rather than performing one-off analyses.
- Deep immersion in the frontier tech ecosystem, working alongside sector experts and founders in high-impact fields like semiconductors and biotech.
Jack & Jill
How Jack & Jill work together
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
How does this work?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If it’s a match and the company wants to meet you, they’ll make the intro. In the meantime, if you’d like, Jack will send you excellent alternatives.