Join a high-velocity team of five as the first business hire. You will maximize Arctal’s revenue loop by owning GTM strategy, sales execution, and AI-agent operations. This is a high-impact role where you'll use advanced AI tools to automate workflows and scale the delivery of structured financial datasets to institutional buyers.
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Founding Operator at Arctal
Arctal is hiring a Founding Operator in London to join a team of five delivering like a team of fifty. Founded by Cambridge ML and finance experts, Arctal uses AI agents to transform 100,000+ complex financial documents into clean, queryable data for institutional investors. As the first business hire, you’ll own the entire revenue loop—from GTM and sales execution to building AI-automated workflows that 10x team productivity. If you have 1–5 years of startup experience, a bias for action, and live in AI tools, this is your chance to secure meaningful equity and a leadership path in a high-growth fintech.
About this role
Role overview
About the company
Arctal
Arctal - AI-driven financial data platform
What you'll do
What you will do
- Lead GTM efforts by managing LinkedIn, website content, and events to build a consistent pipeline of asset manager leads.
- Execute sales cycles alongside founders, preparing custom demo datasets and high-stakes proposals for financial data firms.
- Design and manage internal AI agent workflows to automate research, scheduling, and data delivery bottlenecks.
Who you are
Who this is a fit for
- 1–5 years of experience in a fast-growing startup, ideally having touched sales, operations, and marketing simultaneously.
- An AI-native operator who uses LLM-based tools and automation as their default mode of working to multiply throughput.
- A commercially-minded generalist with a strong bias to action, comfortable navigating the ambiguity of an early-stage venture.
Why this role
Why this role is remarkable
- Direct mentorship from founders with pedigrees in Cambridge ML, Secondmind (scaled to 100+), and Sylvera.
- Significant equity stake in a fast-shipping startup that turns 100,000+ complex PDFs into queryable institutional data.
- Total ownership over the "revenue loop," with the autonomy to build 10x productivity workflows using the latest AI agents.
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