Product Manager responsible for a core Property Management platform across multiple markets. Collaborate with senior leadership and engineering teams in a hybrid role.
Responsibilities
Own your product area - backlog, roadmap, and outcomes.
Where processes exist, adopt and improve them; where they don't, establish lightweight, practical ways of working.
Define and maintain a clear, defensible roadmap that reflects business priorities, user needs, and technical constraints.
Lead delivery on two high-priority, high-visibility initiatives from the outset, managing dependencies, risks, and stakeholder expectations end-to-end.
Communicate progress clearly and proactively to senior stakeholders.
Set sharp priorities and make data-informed decisions to ensure focus on what drives the most value.
Define and track the metrics that matter across both SaaS and service-delivery dimensions: activation, retention, operational efficiency, client satisfaction.
Translate feature delivery into commercial language - what moves churn, what drives upsell, what improves service economics.
Partner with UX to create continuous feedback loops from user interviews, behavioral data, and frontline team insights.
Distinguish between feature requests and underlying problems - and recognize when the best solution is not to build.
Build trusted relationships across engineering, design, sales, support, and operations.
Manage diverse stakeholders while keeping a sharp focus on outcomes; secure alignment on what gets built - and what doesn’t.
Requirements
Proven mid-senior Product Manager experience in a SaaS or tech-enabled services environment.
Ability to own a product area with confidence, working independently while collaborating closely with senior product leadership.
Strong commercial acumen: able to connect product decisions to SaaS metrics, service KPIs, and revenue outcomes.
Experience navigating complex, multi-stakeholder organizations and presenting confidently to senior leadership.
Solid agile practitioner: able to shape and improve team processes, not just follow them.
Data-literate: comfortable defining metrics, setting targets, and using data to prioritize and defend decisions.
Clear, structured communication- written (user stories, acceptance criteria) and verbal (stakeholder updates, discovery sessions).
Ability to leverage AI tools effectively and to a high standard, both as an assistant to your day-to-day work and as a prototyping tool.
Benefits
Real ownership – responsibility for a business-critical product
Direct impact – close collaboration with senior decision-makers
Strong engineering culture – skilled developers and modern ways of working
Scaling platform – a SaaS product with long-term growth ambitions
Fast-moving environment – pragmatic, collaborative, and product-focused
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