Head of Product Analytics - 100% Remote - EMEA

Hostaway; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Hostaway is seeking its first Product Analytics leader to define standards, own how we measure impact, and enable fast, confident product decisions. You’ll write SQL, build analyses, and mentor others while partnering with product, engineering, and AI teams to ensure metrics reflect reality and support growth.

This fully remote role requires being based within LOCATION to collaborate with your team, peers, and internal customers, shaping the data-driven future of our AI-first platform.

Qualifications

• Hands-on product analytics leadership with strong SQL skills.
• Experience embedding measurement in product planning and roadmaps.
• Ability to mentor analysts and scale analytics across teams.
• Experience with AI-native product measurement is a plus.

Responsibilities

• Set product measurement standards and define active/adopting customers.
• Incorporate measurement in early planning and PRD to show sizing and impact.
• Design measurement for AI-native product where activity metrics alone aren’t enough.
• Translate numbers into investment decisions and drive metrics fluency across product teams.
• Build the function: tracking plans, instrumentation specs, data quality, working with a senior analyst.
• Stay hands-on by writing queries and building analyses daily.

Skills

Data analytics

Product analytics

Mentor

Stakeholder management

Tools

SQL

Job description

NOTE: This is a FULLY remote role, but the candidate must be within LOCATION to collaborate with their team, peers, and internal customers. You do not have to be in the specific country or city shown in this listing, but please only apply if you are physically based within LOCATION.

Trusted by 20,000+ property managers worldwide, Hostaway is an industry leading, AI-powered vacation rental management platform designed for professional short-term rental operators. Hostaway brings everything together for greater efficiency and faster growth.

Profitable, high-growth, and the first short-term rental PMS unicorn . Join us at our most exciting stage yet! Learn more about our recent valuation and story here .

About the role

Hostaway is looking for its first Product Analytics leader, someone to own how we choose what to build, and to prove what it delivered. This role is about setting the standards and building the tools that help teams move faster with confidence. You'll define what good looks like, set the standards for how we measure, and bring the whole product organization along with you.

You'll work alongside our product leaders, who decide which bets we make, helping make sure the evidence behind them is solid. In a company leaning hard into AI, you'll also work out what measurement even means when the AI, not the human, is doing the work. It's a rare chance to be first: to shape the processes, metrics and KPIs, in a fast-growing, profitable, AI-first company with low bureaucracy and little hierarchy. Your work will make the impact of everyone around you visible.

Reporting directly to the Chief Product Officer, this is a hands-on role where you will write SQL, build analyses, and mentor others rather than purely manage. While Data Engineering oversees the data pipelines, warehouse, and central architecture, you will own the product measurement layer on top, maintaining a dotted-line partnership with the CTO.

Your Mission

• Set the product measurement standard: what counts as an active, adopting customer, and how every analysis gets segmented.
• Bring measurement into planning early, so every product requirements document includes sizing, an expected metric impact and a measurement plan.
• Design measurement where clean A/B tests aren't available, and redefine it for an AI-native product where activity metrics no longer tell the full story.
• Bring numbers to investment decisions, and grow metrics fluency so product managers can bring their own numbers to reviews.
• Set the technical standards and build the function: tracking plans, instrumentation specs, data quality, starting with an experienced product analyst.
• Stay close to the work. You'll remain hands-on day to day, writing queries and building analyses yourself rather than only directing others.