Hostaway Logo

Hostaway

Head of Product Analytics - 100% Remote - EMEA

Reposted 3 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Zagreb
Senior level
In-Office or Remote
Hiring Remotely in Zagreb
Senior level
Lead Hostaway’s product analytics function by defining measurement standards, metrics, tracking plans, instrumentation, and data quality practices. Partner with product and data engineering leaders to embed analytics into planning, evaluate investments, measure AI-driven workflows, and improve data-informed decision-making. The role remains hands-on, requiring SQL analysis and query development, while also mentoring analysts and building the analytics operating model.
The summary above was generated by AI

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.

  • 8+ years in product analytics, ideally in B2B SaaS at a scaling stage. We're open to strong candidates from other product backgrounds too.

  • Strong data foundations. You know how to design clean, reliable data models together with Data Engineering, and how to set up event tracking that stays consistent across features and domains. Experience with SQLMesh is a plus. You use AI tools heavily in your own work and understand where they help and where they mislead.

  • Influence beyond your title. You've disagreed with a senior leader about a number, backed it up with evidence, and your definition was still in use six months later. You've helped a company move from gut feel to data-led decisions, and you work patiently with product managers to find what fits a company of our size.

  • You build the function, not just run it. You've set up analytics operating models rather than inherited them. You can build business models that hold up to a finance leader's scrutiny, and you can show what actually worked: designing fair comparisons in a complex B2B product and being honest about what a number does and does not prove.

Nice to have

  • Measuring AI features, automated workflows or API usage; product-led growth; churn modeling; platform businesses with more than one user type (ours are property managers and their guests); travel, hospitality or property technology.

This role probably isn't for you if...

  • You see analytics as a service desk, waiting for tickets to come in.

  • You're a dashboard specialist. Dashboards are an output; the real work is changing how decisions get made.

  • You've only worked in large, mature data organizations, where the frameworks and teams were already established.

  • You need a formal title to have influence.

What we offer
  • Competitive Compensation: We offer competitive pay based on market rates in the country of the applicant.

  • 100% Remote: Enjoy the freedom to work from anywhere within your country of residence—be it a co-working space, your home office, or even your dining room table. The choice is yours. Just don’t ask to work in our office (we don’t have one).

  • Equity: Every role in our company comes with valuable stock options in a fast-growing and profitable company. This ensures we all share in the company’s success.

  • Values-Driven Leadership: Our Core Values are not just words we’ve written to make us feel good. We leverage them daily when making strategic and tactical decisions.

  • Professional Growth: Our rapid growth offers unparalleled learning and development opportunities, along with a multitude of career advancement opportunities.

  • Annual Paid Leave: The specific amounts vary by country and are aligned with country and/or contract-specific norms.

  • Geographic Specific Benefits: As an international employer, we offer different country-specific benefits such as Health Insurance and Pensions in countries where these perks are customary. The specifics depend on the country of the applicant.

  • Dynamic Team Culture: As a global company with team members in over 40 countries, our diverse and international culture fuels our innovation and creativity, providing a key pillar to our success (and making it a lot of fun to work here).

Thank you for your interest. If you apply for this role, you will receive an email from our Talent Acquisition team after your application has been reviewed alongside the qualifications for this role and the qualifications of others who have applied.

Similar Jobs

10 Minutes Ago
Easy Apply
Remote or Hybrid
Easy Apply
Senior level
Senior level
Enterprise Web • Hardware • Internet of Things • Software
Manage a portfolio of life sciences customer accounts, driving adoption, utilization, operational digitization, measurable ROI, renewals, and commercial expansion. Serve as the internal customer champion and trusted advisor while coordinating Sales, Product, Engineering, Support, Professional Services, and partners. Build executive relationships, lead stakeholder presentations, guide GxP manufacturing change management, and improve Customer Success processes. The role requires life sciences industry experience, enterprise collaboration, and up to 15% travel across the EMEA region.
Top Skills: AITulip
3 Hours Ago
In-Office or Remote
231K-385K Annually
Senior level
231K-385K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads Pfizer’s medical channel excellence team and develops global omnichannel strategies for scientific engagement across therapeutic areas. Oversees audience journeys, digital and social channels, paid media, vendor relationships, budgets, regulatory alignment, and channel performance. Partners with Medical Affairs, R&D, Evidence Generation, legal, compliance, and global teams to disseminate scientific content to healthcare professionals. Provides strategic leadership, manages resources, develops channel infrastructure, and drives innovation in personalized medical communications.
Top Skills: Digital PlatformsOmnichannel Engagement PlatformsScientific Content Dissemination ToolsSocial Media ChannelsThird-Party Digital Platforms
Yesterday
Remote
2 Locations
Senior level
Senior level
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.
Top Skills: Ai AgentsBraintrustCi/CdLangsmithLlmsPythonRuby On Rails

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account