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Vice President of Products
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VP of Product - AI Hardware + Data Platform - £150k + equity - London (1 day/week on-site)
Most VP of Product roles ask you to own a roadmap. This one asks you to own an architecture, the connective tissue between a hardware platform and a data platform, where every decision you make on one side directly compounds the value on the other. That's a rare problem to get paid to solve, and an even rarer one to solve well.
The company has built AI-powered computer vision units that sit over conveyor belts in recycling facilities worldwide, processing billions of waste objects and generating a dataset that has never existed before in this industry. That data now powers a packaging intelligence platform used by the biggest FMCG brands in the world to see exactly what happens to their packaging after it leaves the shelf, tracking recovery, performance and circular economy commitments that used to be guesswork.
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What you'd actually own:
- The unified product roadmap spanning the hardware, the AI layer that turns camera feeds into usable data, the operator-facing portal, and the packaging intelligence platform sitting on top
- The architecture connecting hardware output to software value, working alongside a dedicated PM on one product's execution while you hold the strategic line across the whole platform
- Quality control between product and engineering; specs get grounded in what the data can actually support before they're built, not after
- A genuine peer relationship with engineering and research, shaping technical direction rather than just handing over requirements
- A high-performing product and design team
- The metrics that matter: growth, retention, data accuracy, and where to invest next
- Real time in the field, on-site with customers and in the room with senior buyers, so you're shaping the market rather than chasing it
- You'd report directly to the cofounder and CPO.
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What we're looking for:
- A strong product leadership track record, ideally VP or Head of Product level, inside a scaling B2B tech business
- Experience running a platform where one product feeds into and strengthens another, and knowing how to sequence investment across both
- Enough technical depth in AI and machine learning to hold your own with a research team; this isn't a role for someone who stays one step removed from the tech
- Bonus points if you've worked somewhere with a physical or hardware component alongside the software; you'll understand the operational realities that pure SaaS backgrounds often miss
- Comfortable thinking commercially about hybrid revenue models where hardware and software work together
If that sounds like the room you want to be in, get in touch.
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