AI assistant for VIP segment
Result65% of routine VIP conversations closed without a human
10 yrs in product · Warsaw / Remote worldwide
Design decisions I can defend with data.
Back-office systems, CRM, payment flows, retention mechanics — products with real money and real operators behind them. Ten years across design leadership and product ownership, five of them at scale in a high-load, heavily regulated domain.
Open to work
design leadership & senior IC roles
Ten years, four shifts in responsibility.
2016 — 2019
Craft
High-load internal platforms. Dense tables, permissions, configuration-heavy workflows. Learned to make complexity readable.
2019 — 2021
First teams
Design Team Lead. Up to 4 designers across parallel B2B and B2C projects. Quality against speed, every week.
2021 — 2025
Product depth
Dashboards, retention mechanics, A/B testing on live traffic, payment flows. Moved from how to what and why.
2025 — now
Leading teams & product
Design Team Lead / PM. Grew one team 2 → 5, hired 3. Took over another, 7 → 9. Roadmap and hypotheses alongside design. Design system. AI pipeline in production.
What I take on.
Four areas, one flow. Product questions come first, design carries them, the team holds the bar, and the organisation gets what actually ships.
Product · Design · Team · Organisation
Product
- Reading product metrics to find problems, not waiting for briefs
- Forming and testing hypotheses on live traffic
- Writing specs — the BA work, when there's no BA
- Roadmap input and prioritisation
- A/B testing, deciding from behavioural results
Design
- Design systems from zero — components, libraries, governance
- Back-office, CRM, dashboards, payments
- Optimising handoff so engineers ship faster
- UX debt: finding it, sizing it, clearing it
Team
- Hiring, onboarding, and letting people go
- Grading systems and career paths
- 1:1s, reviews, and the standards that hold the bar
- One flow, not five
- Evaluating and rolling out new tooling
Organisation
- Compliance: shipping products that hold up in regulated markets
- Ops, automation, engineering, marketing, legal, HR
- Automating team workflows
- AI pipelines in production
Design × Product
Design leadership and product ownership, in one seat
Measured on live traffic and the team's own clock, not on a slide
Selected work.
Six cases. Each one opens with the outcome, then the context, the problem, the approach, and what I would do differently.
AI design pipeline
Result12 hours of manual design work → 2–3 hours end to end
Deposit flow redesign
Resultreg2dep 12% → 22%, measured on A/B
Web constructor — back office
ResultBrand delivery from 4 months to 2
E-commerce PDP — audit & redesign
ResultLCP 12.8s where Google's threshold is 2.5s
Casino brand — end to end
ResultA cosmic metaphor carried from landing page to cashier
Across the work.
The numbers that moved. Every one of them measured on A/B, on the team's tracked time, or on the calendar.
12% → 22%Registration-to-deposit after redesign, measured on A/B
%65%Routine VIP conversations closed without a human, of the task pool handed to it
✓12h → 2–3hDesign production cycle, end to end
h4 → 2 moTime to launch a new brand, under one system
⇅2→5 · 7→9Two design teams grown, three hired directly
+409Tasks with tracked time, where none existed before — four months against zero in five years
#Currently open to design leadership and senior IC roles. Remote, US / UK / EU.
Warsaw · working across US, UK and EU hours