Director of Product & Engineering - Long Stays
Listed on 2026-09-03
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IT/Tech
AI Engineer (Applied/Software), IT Business Analyst, AI Business & Operations
Director of Product & Engineering - Long Stays
Technical
You’ll work with smart, curious people who care deeply about what they do. You’ll have autonomy and the trust to make good decisions and move quickly. And you’ll enjoy a real sense of purpose as you see the impact of what we’re building.
If you’re motivated by ownership, curiosity and meaningful impact, and are driven to deliver consistent high performance, you’ll feel at home here.
About the roleLet’s get into the specifics. It’s impossible to capture every nuance of a role – especially at a rapidly growing company like Mews – but if we had to distil it into a job description (which we do because this is a job description), it would be this:
Let’s get into the specifics. It’s impossible to capture every nuance of a role – especially at a rapidly growing company like Mews – but if we had to distil it into a job description (which we do because this is a job description), it would be this:
Long Stays is one of the fastest-growing segments in hospitality, and most of the software running it was built for something else entirely. This role exists to change that at Mews: owning the Long Stays product and engineering capability end-to-end, from strategy through to what ships, with direct accountability for the commercial outcomes that follow.
You will be the single accountable owner for this segment. That means setting the product vision, making technical architecture calls, and building a small team of product builders who can operate with real autonomy. The scope is unusually broad by design: product leadership, engineering direction, and commercial outcomes sit in one seat. The person who does this well will be both credible in a technical architecture conversation and capable of making a clear-eyed business case for what to build next.
What you would do- Own the Long Stays product vision, strategy and roadmap across hybrid hospitality operators, student accommodation, aparthotels, coliving and adjacent segments, with direct accountability for ARR growth and product north star metrics
- Lead the full resident lifecycle as a product capability: booking and lead-to-lease, move-in and onboarding, billing and payments, recurring billing automation, deposit lifecycle, index-linked rent increases, and the tenant self-service portal
- Set technical direction for the tribe: architecture decisions, engineering standards, and system health, acting as the senior technical voice alongside the product voice
- Use AI agents, internal skills and automation as the default delivery mechanism, and build the tribe’s context repository so builders can pick up any problem without a human handoff
- Design and embed AI-assisted workflows across the tribe’s delivery cycle, actively reviewing and pressure-testing AI outputs rather than accepting them at face value, and documenting approaches the team can consistently follow
AI Fluency Level 3: In this role, that means you have looked at how a product and engineering team delivers and redesigned parts of it using AI. You have built workflows and tooling that others on the team follow, not just productivity shortcuts for yourself. And you actively check and push back on AI output: you know when it is wrong, when it is incomplete, and when it is good enough to ship on.
- Experience in both product leadership and hands-on product building, comfortable moving between strategy and execution in the same week
- Technical depth sufficient to engage seriously with engineers on architecture and system design, with clear opinions about what good engineering looks like in practice
- A track record in a vertical or segment-specific product context, with a credible business case for the choices made along the way
- Strong commercial instincts, with an understanding of revenue potential, pricing complexity, and how product decisions connect to financial outcomes
- AI Fluency Level 3 or the equivalent hands-on experience: you have rebuilt how a team works using AI, built approaches others follow, and you actively question what the tools give you
- Experience in hospitality, property management, short-term rentals, student accommodation or a similarly…
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