Head of Product Analytics & Experimentation
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 26d ago
The date the source published, not the day we noticed it (2026-10-07). Last seen at its source 1h ago.
We have tracked this listing since 27 Oct 2026 (6 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United Kingdom, Germany, Saudi Arabia, The Netherlands, United Arab Emirates
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $195k–248.8k/yr
Middle 50% of 8 listings that do state pay — Product · Head · EMEA · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Ashby employer's own board first seen 6d ago · last seen 1h ago
The listing
Why qlub
The end of a great meal shouldn't be the slow part. Waiting for the check, finding someone to take payment, splitting a bill by hand. qlub removes that friction. Guests scan a QR code and pay in seconds. No app, no download, no waiting.
From Pay-at-Table and Digital Menus to Order-and-Pay, Payment Links, and SoftPOS terminals, we handle the full payment experience so restaurants can focus on what they do best: great hospitality. Less friction means faster table turnover, smoother operations, and higher profit.
We're a fast-scaling fintech backed by Mastercard, Mubadala, e& and Shorooq. $72M raised, live across multiple markets worldwide, and headcount doubled in the past year. We're building the teams that take us to the next stage.
The role
You'll lead product analytics at qlub and build the experimentation engine behind our growth, scaling to 50+ A/B tests a month. You'll set the standard for how our data is modelled so analytics and AI can trust it, and lead a team of BI analysts working closely with Product, Operations, Tech and Data Engineering.
What you’ll own
Own experimentation end to end: configure and scale our existing A/B testing platform, set standards for test design, sample sizing, metrics and guardrails, and review results.
Train product managers and operations leads to run sound experiments themselves, and build the playbooks, templates and review rituals that make this routine.
Define the analytical data model: entity and event design that joins consistently across product flows, slowly changing dimensions, a semantic layer, and metric definitions.
Introduce data contracts and governance standards with Tech and Data Engineering, so that new events and tables are designed correctly from the start.
Coach and grow a team of three junior analysts and one senior analyst.
Who you are
You've built and scaled an experimentation culture, and you're rigorous on test design while pragmatic about when evidence is enough to decide.
You love teaching, turning PMs and ops leads into confident experimenters and growing analysts through direct, kind coaching.
You think in systems and care about data models, definitions and governance, because reliable analytics and AI depend on them.
You drive change through influence and clear reasoning, partnering well across Product, Operations, Tech and Data Engineering.
You communicate clearly with executives and non-technical stakeholders, and you're excited to bring an AI-first approach to analytics in a fast-moving, global fintech.
What you’ll need
5+ years in analytics or data science, including time at a large data-driven company (e.g. Delivery Hero, Uber, Amazon, Meta, Booking) or a modern data or experimentation platform (e.g. Sigma, Mixpanel, Amplitude, Statsig, Optimizely).
Hands-on experience building or scaling an experimentation programme, with solid statistics: power analysis, variance reduction, sequential testing, and common pitfalls.
Strong data modelling: dimensional modelling, SCDs, event schema design, dbt, and SQL at a high level.
A track record of driving change: introducing new practices into organisations and getting non-technical teams to adopt them.
Clear communication with executives and with non-technical stakeholders.
Nice to have
Data science and predictive modelling, including forecasting.
Experience building an AI-first data stack and taking an AI-first approach to analytical problems.
Data governance frameworks, marketing analytics and attribution.
Experience with tools and technologies such as dbt, Airflow, Git, Google Cloud Storage (GCS), BigQuery, or ClickHouse.
Familiarity with data governance and cataloguing tools such as Atlan, Alation, or OpenMetadata.
What we offer
• Real ownership over products that impact millions of diners and thousands of restaurants globally
• The opportunity to solve challenging problems in payments, hospitality, and customer experience
• A fast-moving environment where great ideas quickly become reality
• Close collaboration with experienced operators, builders, and industry experts
• A chance to leave a visible mark on one of the fastest-growing restaurant technology companies globally
Ready to build? Join us and help shape how the world pays at the table. If that excites you, apply now.