Commercial Engineer – AI & Automation
London (Hackney, E2) · Hybrid, 4 days a week in the office
We are Manufacturing the Future!
Geomiq is revolutionizing traditional manufacturing by providing engineers worldwide with instant access to reliable production methods through our digital platform. As the UK’s leading Digital Manufacturing Marketplace, we offer an AI-powered B2B MaaS (Manufacturing as a Service) solution, seamlessly connecting buyers and suppliers to drive efficiency and innovation.
With our headquarters in London and quality branches in India, China, and Portugal, we collaborate with leading brands like BMW, Rolls-Royce, Brompton Bikes, and Google—even contributing to space exploration.
Our platform:
Geomiq offers a revolutionary platform that completely digitizes the quoting and ordering process for custom manufactured parts, ensuring the highest operational and quality outcomes. Our primary customers include Design Engineers, Mechanical Engineers, and Procurement teams, all of whom are involved in creating the world’s most innovative products.
About the Opportunity:
We’re looking for a technically curious, commercially minded Commercial Engineer to find where customers and suppliers get stuck across our marketplace, work out why, and fix it. Geomiq is growing fast and demand is strong, and this role is focused on turning more of that demand into orders, repeat customers and suppliers who deliver, and building the systems that keep doing it as we scale.
You will use data, AI and automation to pinpoint what is happening between buying and selling, propose practical solutions, and help improve the sales process, going well beyond reports and dashboards. The fix might be an AI agent, an automation, a change to a page, a new step in a workflow, or a change in how sales or suppliers work.
You’ll work across sales, supply chain, quality and product, and follow each problem through until it’s gone. This role suits someone who wants to run a business within a business, enjoys getting deep into data and AI tools, and cares most about the result. You’ll be based in our Hackney office in London four days a week.
What you'll do
Find the Friction
- Stay close to sales, supply chain and our hubs, so you always know where customers and suppliers get stuck
- Dig into our CRM, platform and Metabase data to find out what is happening and why
- Follow customers and suppliers from quote through to order and delivery, and spot where they drop off
- Keep a live list of the biggest friction points, ranked by what they cost us
Fix It
- Find the cause of each friction point, then fix it yourself or own the fix with the team that has to make it
- Build AI agents and automations (Claude, n8n, light scripting) that remove slow or manual work, and keep improving them as we grow
- Propose practical changes to the sales process, and help the team put them into place
- Work across sales, supply chain, quality and product, and see each problem through until it’s gon e
Build the Commercial Data Foundation
- Build the data foundation for our commercial decisions, connecting HubSpot and platform data and defining our key numbers clearly
- Own the metrics that matter for buying and selling across the marketplace, and evolve them as the business grows
- Build the analysis and tools the commercial team needs to act on, not just to look at
- Keep our CRM and commercial data accurate, using automation wherever possible
Prove the Impact
- Measure what changed after every fix, and be honest when something didn’t work
- Report the impact in terms of friction removed, customers kept and orders won
- Spot opportunities the data alone won’t show, and bring them to leadership with a clear case
- Take on more of the commercial problem-solving from the leadership team over time, bringing recommendations, not just reports
What we're looking for
- A rare mix: you genuinely enjoy getting deep into AI tools and automation, and you care about winning commercially. For you, the tech isn't the reward; the result is.
- Hands-on with AI: you've built agents, automations or tools with Claude, ChatGPT, n8n or similar, not just used them.
- Comfortable with data: SQL, Python or other coding languages to get answers from raw data yourself.
- A record of owning outcomes, not just analysis: you've been on the hook for decisions with numbers attached, in a role such as buying, merchandising, forecasting, operations or commercial.
- Evidence that you found a problem nobody had spotted and fixed it. Tell us what it was, what you did and what changed.
- A quantitative degree (computer science, maths, engineering or similar), or equivalent proof of how you think.
- A track record of staying in roles long enough to see the results of your decisions
Nice to have
- B2B, marketplace, procurement or logistics experience (strongly preferred).
- Experience in a business that grew quickly while you were there.
- Manufacturing, engineering or industrial exposure.
- Experience with HubSpot or Metabase.
Benefits
- Competitive Salary: We offer pay that reflects your skills and the value you bring.
- Stocked Kitchen: Enjoy snacks, fresh fruit, and drinks all day.
- 23 Days Annual Leave: Recharge with 23 days off, plus bank holidays.
- Birthday Off: Take an extra day to celebrate your birthday.
- Pet-Friendly Office: Bring your dog to our pet-friendly workspace.
- Team Events: Connect with colleagues through monthly team-building activities.
- Career Growth: Benefit from our focus on internal promotions and development.
- Cycle to Work Scheme: Save on commuting, reduce emissions, and stay active.