Amaris
17 consultants hired and managed.
Product / AI · Switzerland
Eight years selling.Now I build tools teams use.
At Tamedia, I identify friction in sales workflows, build AI tools, train teams and track adoption. I’m now targeting Product / AI roles in French-speaking Switzerland or Zurich.
Business evidence
The track record is already there.
Tamedia
+18% across the portfolio.
Europ’Esthetic
Annual revenue across four countries.
Doing product before holding the title
At Tamedia, the transition is already under way.
My commercial scope covers 450 clients and 1,650 prospects. In parallel, my role as the AI point person follows a practical product loop.
- 01
Identify
Find friction in the way teams work.
- 02
Build
Create the AI tool that addresses the observed need.
- 03
Train
Give teams what they need to use it.
- 04
Measure
Track adoption before deciding what comes next.
Selected work
Five products. Five concrete problems.
Tools designed around a specific decision, workflow or source of friction.
DatingPilot
Turn conversation screenshots into a recommendation that is clear at a glance.
- Problem
- Extract and use the context held in conversation screenshots on mobile.
- Build
- A mobile-first assistant with OCR, local memory and verdict-first recommendations.
- System
- OCRLocal memoryMobile-first
Velq
Surface the revenue leaks hidden across commercial data.
- Problem
- Useful signals are scattered across CRMs, CSV files and Google Sheets.
- Build
- A system that detects revenue leaks, scores opportunities and prepares follow-ups.
- System
- Cloudflare WorkersCRMCSVGoogle Sheets
DealCraft
Turn raw deal context into an actionable sales pack.
- Problem
- Raw commercial context needs to feed multiple deliverables without losing useful information.
- Build
- A workflow that produces a proposal, email, follow-up, objections, pitch, CRM note and next action.
BuildBattle
Turn vibe coding into a real-time multiplayer competition.
- Problem
- Synchronise participants, state, timer, builds, votes and rankings throughout one battle.
- Build
- An experience with in-app building, showcases, voting and ELO rankings, orchestrated through a state machine.
- System
- Cloudflare Durable ObjectsState machineReal-time timer
RomainOS Command Center
See where to act across every project from one command centre.
- Problem
- Local projects scatter attention and quality checks.
- Build
- A control plane that scans projects, ranks what needs attention and launches supervised QA gates.
- System
- Local-firstProject scanningSupervised QA gates
Applied capabilities
Business, product and AI in one profile.
B2B business
Eight years of commercial outcomes, from €1.5M at Amaris to CHF 700K generated at Tamedia.
Product
Identify friction, build, train and measure adoption.
AI & automation
Claude API, Claude Code, Make, Gemini and ChatGPT.
CRM & data
HubSpot as a Key User, plus Salesforce, Clay and PowerBI.
Method
From an observed problem to measured usage.
A five-step method derived from my work as Tamedia’s AI point person.
- 01
Observe
Start with friction reported or visible in the field.
- 02
Define
Name the exact task that needs simplifying.
- 03
Build
Create the AI tool suited to that task.
- 04
Train
Support the teams who will use it.
- 05
Measure
Track adoption before iterating.
Experience, condensed
Eight years of business execution.
See the full CVTamedia
450 clients, 1,650 prospects, +18% across the portfolio and CHF 700K generated. AI point person and HubSpot Key User.
TAZ Communication
+15% overall sales and one tender won.
Life Privilège
25 individual contracts per month and a team of three advisors managed.
Europ’Esthetic
~€400K in annual revenue across four countries.
Amaris
€1.5M, 17 consultants hired and managed, and a €400K public tender over four years.
About
A business profile moving from the need to the tool.
I’m based in Lully, Vaud. My B2B career has taken me from Amaris to Tamedia, with experience at Europ’Esthetic, Life Privilège and TAZ Communication. I’m targeting Product / AI roles in French-speaking Switzerland or Zurich.
- Languages
- Native French · Bilingual English, C2 · German, B1 and improving
Contact
Hiring for Product / AI in Switzerland?
Let’s discuss the role, the product and the problems your team needs to solve.
Lully, Vaud · French-speaking Switzerland and Zurich