About Letly

Letly is the AI-Native operating company built for the home. We believe the home should be autonomously run and we're building the software that will run all rental properties end-to-end.

Letly’s product is technically difficult on purpose as the operational realities of handling property and money are messy. There are two product surfaces: the operating platform (lettings, property management, vendor marketplace) and the money surface (rent collection, deposits, client money accounts).

We've raised a $4m pre-seed and are a small, high-agency, engineering-oriented team, growing revenue at >100% month-over-month. We're hiring to facilitate this aggressive growth.

How we build

Product managers at Letly are the ‘CEOs of the product’. You’re responsible for your pod: you hire alongside the CEO & CTO, run the team day to day, and answer for its performance. You own the roadmap and priorities, and you carry your pod's KPIs end to end, from the first scoping document to what's live in production.

You're accountable for the quality of everything the pod ships — the specs, the docs, the product itself; you personally test what goes out. Our product is complex and regulated, and we believe small, autonomous pods win over large functional orgs.

What we're looking for

• 2+ years owning product end to end in a high-growth environment, including at least one thing you launched from zero; former founders are welcome.

• First Class or high 2:1 (or international equivalent) in a highly quantitative subject — maths, physics, economics, computer science or similar. Ex-founders whose product reached market are exempt from the subject requirement.

• Technical range: you can intelligently discuss system design, APIs, data models and failure modes, and engineers respect your judgement.

• Management: you've run engineers or designers as direct reports — or can show you're ready to.

• UX/Customer sense: you talk to users yourself and carry quantified customer evidence into your decisions; you have real judgement about flows, friction and experience — not just the backend.

• You do your own analysis — you're comfortable in the data and you prioritise on expected impact, not on who asked.

• Operational literacy: you can design a process and a product together, and you know which of the two is the right fix.

• AI-Native: you use models expertly, and you can specify an agentic product — scope, guardrails, evals and failure modes included. You verify agent output before it ships.

Nice to have

• Experience working in a regulated industry (such as fintech).

• Property, real estate finance, or other similar experience.

How you work

• Hyper-focus on detail. These systems move money and manage assets; we have low tolerance for "mostly right".

• First-principles reasoning. You take a hard problem apart rather than reaching for the nearest familiar pattern.

• Communication clarity. You can explain complex trade-offs to technical and non-technical stakeholders alike.

• Candour. You flag risk early and explain failures with data, not excuses.

• Ownership mentality. You own the outcome, not the ticket: start to production, without being chased.

• Collaborative. Teams change the world, not individuals. You make the next team member better and faster.

• Adaptability. You do well in a fast-moving environment where requirements shift under you.

• Learning velocity. You pick up new paradigms quickly and don't need long to get productive in unfamiliar territory.

• Quality-obsessed. Not just the specs and board — the organisation, the depth, the testing, the thing you leave behind.

Our process

We aim to complete end-to-end in under a week.

1. Screening — 30 minutes with the CEO

2. Problem solving — 60 minutes with the CEO & CTO

3. Skills — 45 minutes with the CEO & CTO

4. Slope — 45 minutes with the CEO

5. Offer — references and a decision in days

Benefits

On top of base salary, equity and annual bonus, you're also entitled to:

• Private health insurance

• Paid gym membership

• Three meals a day, in office

• Ubers home on late nights