Location:
Dublin or Remote (IE/UK/EU)
Comp:
Founder-level equity + salary after funding/pilot milestones
Type:
Full-time (open to a short ramp-in if you're transitioning)
About Marketta
Marketta is a new retail CX platform turning post-purchase feedback into real-time actions for store teams.
We're two founders (commercial + technical) with pilots in motion and strong interest from major grocery & convenience groups. We're adding a third founder to own
Customer Experience & Analytics
end-to-end.
The role
You'll define what "great CX" looks like in our product, shape the analytics roadmap, and turn signals into actions for store teams and HQ—
working with
our CTO and dev team to deliver.
What you'll do
* CX measurement:
Work with founding team to design a modern framework beyond vanilla NPS (blend NPS/CSAT/CES with contextual drivers, taxonomy, and text/sentiment).
* Translate questions → data products:
Scope requirements, define KPIs, and
work with
engineering/ to build decision-ready dashboards and scorecards for frontline use.
* Insight to action:
Create store/area/HQ scorecards; set thresholds/alerts that trigger operational follow-ups and A/B tests.
* Text analytics at scale:
Prioritise themes from open-ended feedback;
partner with
the data team on topic/sentiment pipelines; ensure outputs are clear and actionable.
* Experimentation:
Co-design store trials (queue mgmt, availability, cleanliness, service recovery) and quantify impact on sales, loyalty, and cost-to-serve.
* Customer champion:
Work directly with retail CX leaders and store managers to ensure our product fits real workflows and drives adoption.
* Founding impact:
Shape roadmap, influence hiring, set standards, and represent CX/Insights in pilot and board conversations.
What you've likely done
* Held a
CX, Insights, Customer Analytics, or Data Science
role
inside a retailer
(grocery, convenience, pharmacy, QSR) or at a retail-focused vendor/agency.
* Led
NPS/CSAT/CES
programs and can articulate their limits.
* Defined requirements and QA'd dashboards for non-technical users (store/area managers).
* Comfortable
working with
analytics/engineering teams; strong data literacy (brief well, prioritise, spot data-quality issues, interpret outputs).
* Solid grasp of experimentation (A/B basics, sample sizing, variance, confounders).
* Excellent storytelling: you turn messy data into crisp, actionable narratives.
* Know retail rhythms (peak hours, shrink, availability, queueing, store labor, service recovery).
Nice to have
* Understanding (not hands-on required) of modern data stacks and BI (e.g., how Tableau/Power BI/Looker are used in ops).
* Ireland/UK/EU/US retail market familiarity.