Switzerland · AI × Product × Business

I build productsat the intersection ofAI × Business × People.

Product Manager — AI & Digital Products

From idea to product. From product to market.

Explore my work →

The story

More than a job title.

My career sits at the intersection of technology, sales and product. I started where the customer is — then moved closer to the product until I was building it.

  • 0110+ years in telecommunications and sales
  • 02Senior Sales Management experience
  • 03AI Product Management experience
  • 04B2B and enterprise experience
  • 05Product launch experience
  • 06Presenting to C-level stakeholders and investors
  • 07Cross-functional work with Engineering, Design and Sales

Career

Customer → Sales → Business → AI → Product.

Retail and telecommunications, sales leadership, then AI product management — more than 10 years of commercial experience behind the product work.

  1. Customer

    Fust AG

    Deputy Branch Manager · Aug 2012 – Feb 2014

    Retail operations, sales and service concepts — learning how customers decide at the front line.

  2. Leadership

    mobilezone AG

    Deputy Branch Manager · May 2014 – Nov 2021

    Leading and developing sales teams with revenue, performance and KPI responsibility, structured coaching and onboarding.

  3. Business

    Sunrise AG

    Store Agent · Dec 2021 – May 2025

    Bridge between customer needs, technology and business value; recurring user problems turned into insights for internal stakeholders.

  4. AI × Product

    BE BRAVE AG

    AI Product Manager / Senior Sales Manager · Jun 2025 – Jun 2026

    EAGEL GPT from product idea to go-to-market: product strategy, roadmaps, AI solutions with engineering and design, enterprise customers and C-level presentations.

  5. Product Lab

    AI Voice Intelligence

    Product concept / prototype

    Designing and prototyping an AI voice analytics concept that turns conversations into business intelligence.

Scroll horizontally to follow the path →

Flagship case study

From idea to AI product.

EAGEL GPT

Kayky was involved in taking EAGEL GPT from concept to market-ready product within approximately six months — combining product management, AI workflows, cross-functional coordination and commercial execution.

eagel · gpt
Workflows
Knowledge
Prompts
Team
Insights

LLM workflow activity

Discovery → shipped
Enterprise-ready

6 months

Concept → market-ready product

3

First B2B enterprise customers acquired

7

Cross-functional team members coordinated

AI

LLM-based workflows and product functionality

The journey

  1. 01

    Idea

    A commercial hypothesis grounded in real customer conversations.

  2. 02

    Discovery

    Interviews, problem framing and scoping what an LLM can genuinely solve.

  3. 03

    Product

    AI workflows, prompt engineering, UX and delivery with engineering and design.

  4. 04

    Launch

    Positioning, pricing input, sales enablement and go-to-market.

  5. 05

    Customers

    B2B enterprise deals, C-level presentations and feedback back into the roadmap.

Anatomy of the product

  1. 01 · The problem

    Teams wanted the productivity of generative AI, but not uncontrolled tools, unclear workflows or unusable output.

  2. 02 · The insight

    The blocker was not model quality — it was the missing workflow around the model.

  3. 03 · The product

    A guided LLM platform with structured workflows, shared knowledge and team-level control.

  4. 04 · The AI

    LLM-based workflows, prompt engineering and AI-assisted product functionality.

  5. 05 · The launch

    Positioning, pricing input, sales enablement and direct enterprise go-to-market.

  6. 06 · The result

    Concept to market-ready in approximately six months, with the first three B2B enterprise customers.

  • Product strategy
  • Product discovery
  • AI workflows
  • LLM-based functionality
  • Prompt engineering
  • Product development
  • Cross-functional collaboration
  • Go-to-market
  • B2B sales
  • Enterprise customers
  • C-level presentations

Product ecosystem

One ecosystem.

EAGEL GPT

AI Platform

What it does
An LLM-based platform giving teams a secure, guided way to work with generative AI in a business context.
Problem it solves
Companies wanted the productivity of generative AI without uncontrolled tools, unclear workflows or unusable output.
Kayky's role
Product management from concept to market-ready product, AI workflow design, cross-functional coordination and commercial execution.
Product thinking
Start from the customer's real workflow, then decide where AI adds value — instead of adding AI everywhere.
AI component
LLM-based workflows, prompt engineering and AI-assisted product functionality.

My AI product lab

I don't just talk about AI.
I build with it.

Currently in development: AI Voice Intelligence — an AI-powered platform that analyzes conversations and transforms voice data into actionable business intelligence.

Voice intelligence · session 001

Concept / prototype
Detected intentEvaluating pricing options
SentimentPositive → neutral at 04:12
Action itemSend enterprise security overview

Conversation summary

An illustrative view of how conversation data could be turned into structured business intelligence. Not live data.

Topic: onboarding

Topic: integrations

Recurring issue: reporting

Interactive product conceptAI Voice IntelligenceConversations become business intelligence.

Potential capabilities

  • Speech-to-text
  • Conversation analysis
  • Sentiment analysis
  • Topic detection
  • Key moment detection
  • Customer intent
  • Action items
  • Recurring issue detection
  • Conversation summaries
  • AI insights
  • Customer history
  • Conversation memory
  • Performance analytics

Product concept / prototype — capabilities are explored and validated, not sold as a finished commercial product.

Interactive demo

See the concept in action.

A synthetic sample conversation, analyzed the way the Voice Intelligence concept would analyze it.

Sample conversation

Synthetic demo data · not a real customer conversation
  • CustomerThis is the third time I'm calling about the same reporting issue.
  • AgentI understand — last month we promised a fix by the end of the quarter.
  • CustomerYes, and nothing changed. My team is losing confidence in the tool.
  • AgentLet me escalate this and come back to you with a concrete plan.

Analysis output

Illustrative output of a product concept. No real conversation is recorded, transmitted or analyzed.

Product thinking

How a product actually gets built.

  1. 01DiscoverUnderstand the customer.
  2. 02DefineIdentify the real problem.
  3. 03DesignCreate the product experience.
  4. 04BuildWork with technology and AI.
  5. 05ValidateTest with real users.
  6. 06LaunchBring the product to market.
  7. 07ImproveIterate using feedback and data.

Sales × Product

I understand both sides of the table.

Product

  • Product Discovery
  • Product Strategy
  • UX
  • AI
  • Roadmaps
  • MVP
  • Product Launch
AI ×
PRODUCT ×
SALES

Business

  • B2B Sales
  • Enterprise Sales
  • Go-to-Market
  • Partnerships
  • C-Level Communication
  • Business Development
  • Customer Relationships

The advantage is knowing how to build the product — and how to bring it to market.

Skills

Five disciplines. One profile.

Product Management

  • Product Strategy
  • Product Discovery
  • Roadmaps
  • Go-to-Market
  • Product Backlog
  • Feature Prioritization

AI & Digital Products

  • Generative AI
  • AI Solutions
  • AI Product Management
  • LLM Workflows
  • Prompt Engineering

Data & Analytics

  • SQL
  • Python
  • Power BI
  • BigQuery
  • Data-driven Decisions

CRM & Business Tools

  • Salesforce
  • Dynamics 365
  • Microsoft 365
  • Google Workspace

Business, Sales & Leadership

  • Stakeholder Management
  • Enterprise Sales
  • Business Development
  • Cross-functional Leadership
  • Agile Collaboration
  • C-Level Communication

How I work

Curious by default.
Product-minded by design.

Customer first

Start with real problems.

Move fast

Prototype and validate.

Think commercially

A great product needs a business case.

Use AI intelligently

Technology should create meaningful value.

Stay close to customers

The best product insights often come from real conversations.

Beyond the product

Beyond the product.

  • Curious
  • Entrepreneurial
  • International
  • Multilingual
  • Technology-focused
  • Customer-oriented

Languages

German (native) · Portuguese (native) · English · Italian · Spanish

Part of the journey

Dipl. Product Manager.

KV Business School Zürich · Sep 2023 – Jun 2024

Diploma in Product Management including Digital Marketing — the formal layer on top of years of commercial practice. Earlier: apprenticeship as Detailhandelsassistent EBA (2010–2012).

Meta

This website is also a product.

Designed as more than a portfolio — this website combines personal branding, product storytelling, AI interaction and an interactive product demonstration.

AI Assistant

A grounded assistant built on a curated knowledge base.

Recruiter Mode

An objective hiring-perspective view, including trade-offs.

Voice Intelligence demo

An interactive walkthrough of the product concept.

Multilingual experience

Five languages with automatic detection and persistence.

The portfolio is designed to demonstrate the same product thinking Kayky applies to AI products.

CV

Want the full story?

Let's build something meaningful.

Whether you're building an AI product, scaling a business or looking for someone who understands both technology and customers — let's talk.

BUILD. SELL. LEARN. REPEAT.