AVP invests out of three offices:
New York, London and Paris
Senior Product Manager - Marketplace & AI
Software Engineering, Product, Data Science
London, UK
Senior Product Manager – Marketplace & AI
London (Hackney, E2) · Hybrid, at least 3 days a week in the office
About Geomiq
Geomiq is a digital manufacturing platform. Engineers upload a CAD file, configure their parts, get a quote and order: CNC machining, injection moulding, sheet metal and 3D printing. Behind that sits a global supplier network and our own teams in London, Shenzhen, Bangalore and Porto, covering quoting, quality and logistics. We work with brands including BMW, Rolls-Royce, Brompton Bicycle and Google.
We're building the execution layer for distributed manufacturing. The hard part isn't demand. It's making a two-sided network of buyers and suppliers deliver the right part, on time, every time. We think AI changes how that gets done, and we're putting it at the centre of the business.
The role
You'll own product at Geomiq. You'll decide what we build and why, and lead the product team day to day: four developers and a data scientist. You'll work directly with the CEO.
This is a role for someone who wants to make product decisions and own the results.
What you'll do
Own the product roadmap across the buyer experience (upload, quote, order), the supplier side (RFQs, matching, performance) and the internal tools our sales and operations teams run on.
Make the calls on priorities, scope and trade-offs, and explain them clearly.
Lead four developers and a data scientist: set direction, run delivery, keep quality high.
Find where AI can take manual work out of quoting, sourcing and sales, then ship it and measure it. Examples: email-to-quote, spec extraction from drawings, account scoring and AI agents.
Work with sales, supply chain and our hubs to understand real workflows before changing them.
Define what success looks like for every product bet, and report honestly on whether it worked.
What we're looking for
5+ years in product management, including real time owning product at a marketplace or platform business: two-sided, B2B, e-commerce, procurement or on-demand.
Product decisions you made and lived with. Tell us what you decided, what happened and what you'd change.
Experience leading engineers and/or data scientists day to day.
Genuine curiosity about AI: you've built, shipped or seriously experimented with LLM products or agents yourself.
Technical enough to read API docs, query data in SQL and challenge an engineering estimate.
A strong track record from a leading university and/or high-calibre companies.
You've stayed in roles long enough to see your work through.
Nice to have
Manufacturing, supply chain or industrial B2B experience.
Hands-on with automation tools such as n8n.
Practical requirements
You must have the right to work in the UK. We can't offer visa sponsorship.
You must live in the UK, within 1 hour 10 minutes' commute of our Hackney office (E2 9DQ).
At least 3 days a week in the office.
Benefits
Competitive salary.
23 days' annual leave plus bank holidays, and an extra day off for your birthday.
Stocked kitchen, pet-friendly office and regular team events.
Career development and internal progression.
Cycle to Work scheme.