Staff Product Manager

About the Role

Help make the world more hospitable. The hospitality industry is uniquely human, and it deserves technology that's just as inspiring as the people behind it. At Mews, we're transforming the industry with a platform that helps hotels run smarter, move faster, and create better guest experiences.

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.

Responsibilities

• Own the product context your team builds from: the customer evidence, outcome definitions, prioritization logic, and decision history that makes every build decision faster and more grounded.
• Encode your product thinking into shared tools and systems so that good problem framing and rigorous discovery happen by default, not through constant oversight.
• Lead discovery on the team's hardest open questions, from improving how guests discover and accept offers to building the data layer that makes guest recognition reliable at scale.
• Partner closely with the Director of Product and Engineering on complex strategic calls, cross-functional alignment, and the decisions that have the most long-term leverage.
• Collaborate with Staff Engineers and Staff Designers to ensure product decisions hold up technically and create experiences guests actually notice.

Requirements

• Staff or Principal level product experience: you have led the strategy for a meaningful product surface in B2B SaaS, and you set direction rather than execute it.
• A commercial mindset: you naturally reason in outcomes, revenue, and business impact, and you can speak to how your product decisions moved a metric that mattered.
• AI Fluency Level 3 or equivalent hands-on experience: you have redesigned how a team works using AI, built an approach others followed, and you actively check AI output rather than taking it at face value.
• Technical fluency: you hold your own in engineering conversations, understand trade-offs at the architecture level, and can translate technical constraints into product decisions.
• Experience building reusable product systems: you have encoded your thinking into frameworks, agents, or tooling that others actually use, not just documentation that lives in a wiki.