Application · Property Finder · AI Transformation Manager

I turn AI ideas into shipped, measured products.

I lead AI-driven business models at Swiss Post today: sizing the opportunity, scoping the build, rolling it out and proving it moved a number. More than a decade in product before that, much of it as a venture builder. This site is my application for AI Transformation Manager, Strategy & Operations at Property Finder, and I'm ready to move to Dubai.

AI leadAI business models, Swiss Post
Strategy & ops10+ yrs in product
+9% / +15%lift, via A/B testing
Dubai-readyopen to relocating now
Portrait of Ramona Furter
Why I fit

What this role needs, and where I've done it

The role is to own the AI transformation roadmap end to end: prioritise the use cases, scope them into real projects, ship products like conversational agents and AI-written property narratives, roll them out to agents, and report the adoption and ROI. That's the work I do now. Here's how it lines up, point by point.

01

AI strategy and use-case ownership

I'm doing exactly this today: owning AI-driven business models from sizing the opportunity to a prioritised roadmap with clear metrics and timelines. I scope to the smallest thing that proves value, then scale what works.

Proof: AI Project Lead for business development at Swiss Post Advertising, building and running the AI roadmap and KPIs.

02

AI product delivery, hands on

I'm a practitioner, not just a sponsor. I prompt, retrieve, ground and chain. I can sit with engineers and talk evaluation, hallucination, latency and cost as real constraints, and own quality and launch governance through to live.

Proof: build daily with Claude, GPT and n8n; built Pedal Peak end to end with AI workflows; the AI portfolio further down this page is mine.

03

Go-to-market and client rollout

I've taken products from MVP into the hands of real users and partners, built the enablement, run the testing phases and the feedback loops. For Property Finder that means rolling AI out to the agents who use it every day.

Proof: full go-to-market at Sparrow Ventures and WePractice; led agencies and rollout at ifolor; ran market pilots from MVP to launch at Die Mobiliar.

04

Impact, adoption and reporting

I define success up front and let the evidence decide, comfortable in analytics, SQL-level questions and A/B design. I track adoption, accuracy and ROI, and report the wins and the misses honestly to leadership.

Proof: +9% conversion and +15% checkout lift through research, A/B testing and analytics on a CHF 100M+ business at ifolor.

05

Cross-functional leadership

Being the connective layer across product, tech, data, commercial and compliance is the part I'm best at. I've led mixed teams and external partners to one outcome, owning the budget, the KPIs and the hard prioritisation calls.

Proof: led a cross-functional team and agencies at ifolor; founding team that grew WePractice to 23 people across 10 locations.

06

Consulting instinct and executive communication

Much of my career has been turning ambiguity into a clear plan and selling it upward. I've made the case to C-level and investors, owned enterprise partnerships, and held the line on scope. Storytelling with data is how I move decisions.

Proof: owned UBS and Baloise partnerships at Brixel; reported to C-suite at ifolor; raised two funding rounds as a founding team.

Curriculum vitae

Ramona Furter

AI and product lead in Zurich with over twenty years of experience, more than a decade in product, open to relocating to Dubai. I turn ambiguous problems into shipped products and measured results, increasingly with AI at the core. German and Swiss German native, English fluent, French conversational.

Jan 2026 to present

AI Project Lead, Business Development

Swiss Post, Advertising · Zurich

  • Lead AI-driven business models for Swiss Post Advertising, from sizing the opportunity to building and running the roadmap.
  • Turn AI ideas into go-to-market plans and new revenue, tracked with clear KPIs.
  • Run cross-functional work from concept to launch across product, tech, data and commercial teams.

Oct 2024 to Jul 2025

Senior Product Manager, Lead E-Commerce

Ifolor Group · Zurich

  • Owned the e-commerce ecosystem and strategy for a CHF 100M+ business, reporting to C-level.
  • Lifted conversion 9% and the checkout step rate 15% through research, A/B testing and analytics.
  • Led a cross-functional team and external agencies, owning budget, resourcing and KPIs.

Jun 2023 to Sep 2024

Lead Project Manager

Brixel · Zurich

  • Owned the partnerships with financial institutions, UBS and Baloise, that drove growth.
  • Was the main bridge between senior client stakeholders and the internal product team.

Mar 2020 to May 2023

Marketing & Growth Lead, Founding Team

WePractice · Sparrow Ventures (Migros Group) · Zurich

  • Founding team of a mental-health venture. Closed two funding rounds and grew it to 10 locations, 23 people and 170+ customers.
  • Generated 1000+ client matches in year one and built the full go-to-market on a hypothesis-and-data approach.
  • Built and led the marketing and sales team after Series B, owning budget, KPIs and growth.

Sep 2019 to Sep 2022

Growth & Venture Builder

Sparrow Ventures · Zurich

  • Built and ran growth and go-to-market for several internal startups, from early validation to scale-up.
  • Used research and experimentation to improve conversion, lower acquisition cost and raise customer lifetime value.

Jan 2017 to Aug 2019

Intrapreneur, Innovation

Die Mobiliar · Bern

  • Ran market pilots for new products (Smide, now BOND Mobility, plus XperCheck and Lizzy) from MVP to launch, inside one of Switzerland's largest insurers.
  • Coached cross-functional teams and explored new data and partnerships.
A worked example

An AI transformation portfolio I'd run for Property Finder

Not a slide of buzzwords. This is how I'd actually run the role: put the candidate AI use cases on an impact-versus-effort board, pick where to start, then scope each one into a real project with a metric, a timeline, a rollout to agents and an adoption target. Click a number on the board, or a use case in the list, to see the full treatment.

Worked example · illustrative figures

Where I'd start, and why

Four AI initiatives, scored on impact and effort. I'd open with the quick win that proves the model and the rollout, then earn the bigger bets. Prioritisation is the job.

Impact →
Quick wins Big bets Low priority Heavy lifts
Effort →
From day one

My first 90 days

Roughly how I'd spend my first three months as AI Transformation Manager at Property Finder: learn the ground truth, build the prioritised roadmap, and ship the first use case to real agents.

Phase 1 Days 1 to 30

Learn the ground truth

  • Meet the product, engineering, data, commercial and agent-success people I'd build with.
  • Map where AI already lives in the product and where it stalls; learn the MENA market and the agent workflow cold.
  • Get into the data, the listing funnel and the support and lead flows to find the real pain.
Phase 2 Days 31 to 60

Build the prioritised roadmap

  • Score the candidate use cases on impact and effort and choose where to start.
  • Scope the top one or two into real projects with metrics, timelines and a build-vs-buy call.
  • Align engineering, commercial and leadership on scope, the rollout and the adoption scorecard.
Phase 3 Days 61 to 90

Ship and prove it

  • Get the first use case into a real pilot with a set of agents, behind a flag.
  • Instrument adoption, accuracy and ROI; report results honestly, wins and misses.
  • Turn the learnings into the next initiative and the start of the AI enablement playbook.