We're building the AI home assistant that will manage every aspect of your home; from the moment you move in, forever. Jay, our AI agent, already helps thousands of movers navigate energy, insurance, broadband, and home services. Now we need a product leader who can take us from promising early traction to global market leadership in Agentic Commerce.
This isn't a 'maintain the roadmap' role. This is a 'define what AI-native product management looks like' role. You'll be building the playbook that the industry will study in five years.
Why This Matters Now
The home services market is a £1 trillion opportunity undergoing a once-in-a-generation platform shift. Comparison sites had their moment. Marketplaces had theirs. The next wave is agentic: AI that doesn't just show you options, but acts on your behalf.
We have contractual access to a material partof UK home moves. We have deep partnerships with the biggest names in property. We have a working AI agent. What we need now is the product leader who can convert this distribution advantage into market dominance.
What You'll Own
Short-term: Majority of our audience buying a product/subscribing
The P&L: Own the commercial performance of our digital product across all categories (Energy, Bills, Broadband, Insurance). You're accountable for the full stack of outcomes: (1) exceptional customer experience, (2) commercial results that hit targets, and (3) velocity that compounds our learning advantage.
The Team: Lead our product function, working alongside our Design Lead, Head of Engineering/AI, and cross-functional squads. Build and mentor the PM team as we scale.
The Roadmap: Own the prioritisation across AI, consumer, & B2B.
The Transformation: Drive our shift to AI-native product development. We don't want PMs who write tickets, we want conductors who define outcomes and enable AI to accelerate everything in between.
In the First 90 Days
* Deeply understand Jay's current capabilities, the user journey from partner handoff to conversion, and where we're losing users in the funnel.
* Ship improvements to our Agentic Commerce platform, our highest-leverage initiative for hitting the conversion target.
* Establish your operating rhythm with Design and Engineering: weekly rituals, decision frameworks, and accountability structures. Build a culture of empowered teams, not feature factories.
* Develop a clear view of unit economics across categories. Know where we're making money, where we're leaking value, and where the biggest commercial opportunities lie.
* Begin hiring your first PM (we'll support, but you own the bar).
What Success Looks Like
3 months: We've hitmarket leading % conversion. Customers are happy. The team trusts your judgment. Investors are excited about our metrics. Category P&Ls are understood and improving.
12 months: Multiple commerce journeys are live and performing. We've expanded into adjacent categories. The product org is humming. You've hired at least one PM who's shipping independently. We're either raising a Series B or are profitable.
24 months: You've either grown into a VP role as we scale, or you're leading product alongside a peer who owns consumer AI/commerce.
You Might Be Right If
* You've owned P&L outcomes, not just shipped features. You've been accountable for revenue, conversion, or margin at a portfolio or category level. You understand that great product is necessary but not sufficient; it has to work for the business too.
* You've led product in a B2C or B2B2C environment and personally shipped features that moved revenue metrics. Ideally in a fast paced ecommerce/marketplace consumer product used and loved by millions of people. You understand the complexities of supplier/partner integrations and developing real time products/pricing inventory.
* You've built and managed PM teams (even small ones); you know the difference between hiring right and hiring fast.
* You're obsessive about the user journey. You've personally watched session recordings, run customer interviews, and made decisions based on real behaviour.
* You can context-switch between strategy and execution: you're comfortable in the boardroom and in Figma.
* You ship fast. You have a bias toward action. You'd rather ship something imperfect and learn than debate the perfect solution. You understand that velocity is a competitive advantage.
* You're genuinely excited about AI: Not as hype, but as a tool that fundamentally changes how products are built and how users experience them.
* You've operated in early-stage or high-growth environments where resources were constrained and judgment mattered more than process.
You're Probably Not Right If
* You need a large team to feel effective: we're lean and you'll be hands-on.
* You prefer stable environments with clear swim lanes; things move fast and ambiguity is constant.
* You see AI as 'someone else's job'; here, everyone is an AI practitioner.
* You optimise for consensus over velocity; we move fast, disagree openly, and commit fully.
* You're uncomfortable owning P&L outcomes. If you prefer to focus on product craft and let someone else worry about commercial performance, this isn't the role.
How We Work
Empowered teams: We give teams problems to solve, not features to build. We're accountable for outcomes, not output. This is the Marty Cagan model: discovery and delivery, not roadmap administration.
Commercial ownership: Product owns P&L. We're not just the voice of the customer; we're also the voice of the business. Great customer experience and strong commercial performance aren't trade-offs. They're both required.
Design-centric: The user sits at the center of every decision. Design leads the experience; Product ensures we're solving the right problems at the right time.
AI-native: We don't just build with AI; we build for AI. Our codebase is being designed for agents. Our PMs should use AI tools daily. Our thinking starts with 'what would this look like if AI did it?'
Build out loud: Work is transparent. We share early, critique often, and iterate publicly. No disappearing into black boxes.
Velocity obsessed: Speed is a feature. We bias toward shipping, learning, and iterating over planning, debating, and perfecting.
The Details
* Competitive salary + meaningful equity (we want you to own what you build).
* Hybrid in London (we value face-time for collaboration, but trust you to manage your work)
* You'll work closely with our Design Lead, Head of Engineering/AI, and a team of engineers and AI specialists who are genuinely excellent, and have worked on brands like Uber, Apple, Match Group, Microsoft, Google and Meta.
Interested?
We're not looking for a CV-perfect candidate. We're looking for someone who reads this and thinks 'this is exactly the problem I want to solve.' If that's you, reach out. Tell us what excites you. Tell us what questions you'd ask in the first week. Tell us what you'd ship first.
The best product leaders we know are insatiably curious. Show us yours.
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