Senior product leadership
For SaaS, fintech or product-led companies that need a Head of Product/CPO profile for discovery, roadmap, growth, product ops or team leadership.
Product leader & AI workflow builder
JanKučera
I led product. Now I transform it through AI.
Prague-based product leader with 10 years of CPO/Head of Product experience in SaaS and fintech. I help teams find and build AI workflows worth piloting, measuring and operating.
Open to an AI transformation role · now: AI consulting, Ferda (child safety online), Kidly.cz in the background.
Jan Kučera
10+years in product leadership
17people in Toggl's product team
4product squads at Relai
AI dailyin terminal and operations
About
I can lead product and build it
A product leader for situations where strategy, discovery, operating reality and hands-on execution need to meet.
I am a senior product leader based in Prague. I have led product in B2B SaaS and fintech as CPO and Head of Product, and now combine product leadership with hands-on AI workflow building.
I am most useful where a team needs to clarify the problem, break it into decisions, validate direction quickly and turn it into a system people actually use.
I am not an AI guru or ML engineer. I treat AI as an operating layer: context, workflow, human review, clear boundaries and concrete output.
When to reach out
Looking for a product leader who can handle strategy and execution?
I help when a roadmap or delivery alone is not enough. I can lead product, find practical uses of AI inside real workflows and build the first working version, pilot or internal system.
AI workflow discovery
For teams that want to find where AI can save time, improve quality or preserve know-how, then test it with a small pilot and a clear baseline.
Builder proof
Kidly.cz, Ferda and JanOS show that I do not stop at strategy. I build small systems, operating workflows and products that have to work in real life.
Chronology
Where I led product and built systems
From business analysis and enterprise software through B2B SaaS leadership to practical AI systems in small businesses.
FeaturedCurrent
Founder / builder
Kidly.cz
Prague, CZ / online · 2025-2026
Building and operating an AI-first e-commerce business with a two-person team: content, SEO, acquisition, analytics and daily operations powered by a Claude Code business OS.
FeaturedCurrent
Co-founder & Product Lead
Ferda
Prague, CZ / remote · 2026
A family safety app concept. Product decisions balance child protection and privacy so the product does not become hidden surveillance.
Contract-based
Head of Product
Relai
Zurich, CH / remote · 2025-2026
Led product through MiCA license preparation, aligned product and engineering collaboration and introduced AI into discovery work.
Contract-based
Head of Product
Invity.io
Prague, CZ / remote · 2024-2025
Built the product function from scratch, including vision, roadmap and process, then trained and handed it over to an internal product lead.
Chief Product Officer
Toggl
Tallinn, EE / remote · 2020-2023
Led a 17-person product organization across product management, design and growth. Set up product-led growth and improved delivery speed.
Product leadership
Siemens, Qest, Socialbakers, GoodData
Prague, CZ · 2016-2020
Product work across enterprise SaaS, BI and social analytics: discovery, roadmaps and stakeholder management.
Business analysis and IT projects
Microsoft, ON Semiconductor
Prague / Brno, CZ · 2012-2016
Foundation in requirements, project management, governance and coordination between business and technology.
Work
Selected work
Projects that best show the combination of product, operations and AI workflow.
AI-first e-commerce operations
Kidly.cz
An e-commerce business run by a two-person team with a custom Claude Code business OS for content, SEO, Meta and Google Ads, analytics and operations.
- 2
- people in operations
- AI OS
- for content and ops
- SEO + Ads
- acquisition workflows
- Live
- Status
Kidly.cz is a practical test of how far a small e-commerce operation can go when content, marketing, analytics and operations are not split into separate teams. AI is not a demo layer here, but a daily working system for decisions, preparation and quality control.
What I own end-to-end
- Content and SEO system for product and informational surfaces.
- Meta and Google Ads workflows from preparation to evaluation.
- Analytics routines that translate data into concrete operating decisions.
- Repo-based business OS in Claude Code with rules, context and repeatable procedures.
Two-person operations
The goal is not to replace judgment, but to reduce manual work between idea, execution and review.
Content and SEO
AI helps keep output consistent, use sources of truth and prepare content variants faster.
Acquisition
Marketing workflows connect creative, campaigns, performance and feedback into one working rhythm.
Operations
Repeatable routines reduce ad hoc work in a small business and keep attention on decisions.
Child-safety product concept
Ferda
Co-founder, product & business
A concept for protecting children online from serious risks: predator contact, intimate-content blackmail and cyberbullying. It protects the child without turning the parent into a spy.
- Trust
- product boundary
- Safety
- family use case
- Privacy
- core risk
- Pre-launch
- Status
Ferda is a sensitive product space: parents need reassurance, children need trust and the product must not normalize hidden monitoring. The most important work is defining the boundary between protection, privacy and explainability.
What I own end-to-end
- Product framing for a third way between parental control and invasive surveillance.
- Emphasis on transparency toward the child and explainability for parents.
- Risk work around privacy perception, false positives and trust.
- Thinking through product value before the feature list.
Protection without spying
The product should help in risky situations, not give parents a regular inbox view.
Transparency
The child should understand that protection exists and why it is there.
Trust
A family safety product has to defend both its technical solution and its sense of fairness.
Product risk
The key work is naming boundaries, sensitive data and situations where a human must stay in the loop.
How I approach AI transformation
AI workflow discovery
Product discovery applied to AI: first understand people's work and where time or quality is lost, then run a small pilot with measurement and a clear decision to scale, iterate or stop.
Product approachAI workflow discovery
- Problem
- first, not tool
- Pilot
- small test
- Baseline
- impact measure
- Framework
- Status
AI transformation is a product problem. Teams started asking me where AI makes sense for them, and the product framework I use fits it well: start with people's work, not the tool. I bring the same approach to teams from the inside or as outside help.
What I own end-to-end
- Mapping real workflows and places where people lose time or quality.
- Scoring opportunities by frequency, impact, feasibility and risk.
- Designing a beachhead pilot with human review and clear responsibility boundaries.
- Decision framework to scale, iterate or stop instead of a broad AI transformation program.
Workflow first
The tool is selected after understanding the work, not before it.
Friction points
Opportunities appear where time, quality or know-how is repeatedly lost.
Bounded pilot
A small test has a baseline, human review and clearly named risks.
Decision
The outcome is not a deck, but a verdict: scale, iterate or stop.
AI writing coach
Klára
An interactive AI writing coach with lessons and a custom course. A demonstration of turning AI into a structured learning product.
Learning productKlára
- Lessons
- structured learning
- Feedback
- AI coach
- Course
- product frame
- Proto
- Status
Klára shows the difference between a chatbot and a learning product. AI is not just a text field, but part of lesson structure, feedback and gradual guidance toward better writing.
What I own end-to-end
- Designing a learning flow that combines lessons, assignments and feedback.
- Product thinking about when AI should guide, evaluate or step back.
- Prototyping in React and connecting to the Claude API.
- Turning open-ended AI chat into a clearer learning experience.
Not just chat
The user needs guidance, context and rhythm, not an empty prompt box.
Coaching loop
The strength is in moving between attempt, feedback and the next concrete step.
Custom course
Content gives AI boundaries so answers support a specific learning goal.
Product structure
AI value comes from a good flow, not only from the model in the background.
Personal knowledge system
JanOS
A Markdown and Obsidian vault connected to Claude Code, skills, rules and sources of truth for work, training, projects and decisions.
- Markdown
- primary format
- Obsidian
- knowledge base
- Claude Code
- work interface
- Internal
- Status
JanOS keeps personal context in a form both a human and an AI agent can work with. It is not a notes archive, but an operating layer for projects, decisions, rules, training and long-term systems.
What I own end-to-end
- Source-of-truth structure for work, personal projects and routines.
- Skills, rules and context that reduce repeated briefing for agents.
- Separation of notes, decisions, procedures and active working material.
- Practical connection to terminal and editor workflows.
Source of truth
Important context lives in a versioned and readable form, not just in memory or chat.
AI-ready context
The structure is designed so it can be handed to an agent without long manual briefing.
Decision making
The system keeps reasons, trade-offs and repeated principles next to the tasks themselves.
Personal operations
The same approach is used for work, training, gardening and family projects.
Talk for parents
Child & The Algorithm
A 60-minute talk for parents of children aged 8-12 about social media, habit formation, brain development and practical household rules.
- 60 min
- talk format
- 8-12
- children's age
- Practice
- home rules
- Talk
- Status
The talk translates social media product mechanics into language parents can use. It is not about fear of technology, but about practical household rules, understanding habits and having calmer conversations with children.
What I own end-to-end
- Talk structure for parents who want a practical framework without technical jargon.
- Explaining social media through attention design, habit and child development.
- Focus on household rules, relationship and prevention instead of one-off bans.
- Connection to a broader interest in children's safety in digital environments.
Plain language
A parent does not need deep algorithm knowledge; they need to understand the mechanism and impact.
Habit and attention
The topic is about how products work with impulse, reward and repetition.
Household rules
The output should be concrete boundaries that can be explained and maintained.
Calm conversation
The goal is not a fight with the child, but a shared frame for the first years online.
Skills
Tools I actually use.
Not a LinkedIn keyword list. These are technologies and practices I reach for when building real things.
AI workflow
- Claude
- Claude Code
- Claude API
- ChatGPT
- Codex
- Custom GPTs
- MCP servers
- subagents
- skills
- hooks
- context engineering
Product
- product strategy
- discovery
- roadmaps
- OKRs
- dual-track agile
- lean MVP
- stakeholder management
Systems and operations
- Obsidian
- Markdown
- Git workflow
- Notion
- GA4
- GSC
- Meta Ads
- Google Ads
- n8n / Make
Environment
- Zed
- VS Code
- terminal
- Raycast
- Wispr Flow
- repo-based workflow
Domains
- fintech
- crypto
- e-commerce
- B2B SaaS
- child safety
Outside work
The rest of the story.
Work is what I do. This is who I am when I close the laptop.
Volunteer firefighter
Volunteer firefighter. When others run out, I go in. The best school of teamwork and calm under pressure I know.
Family and presence
I am learning to close the laptop on time, be more present with my children and create experiences away from screens. It is as important a system as work.
Training
Morning strength, cycling, running by feel and the long-term goal of being stronger, lighter and more resilient. Not for metrics, but for energy.
Garden
Lawn and garden as another practical system: soil, water, overseeding and regular care. A lawn knowledge base that improves season by season.
Reading and quiet
Books as input, quiet moments as reset. Without a calm head, the rest does not work either.
Contact
Let's talk about something concrete
I am looking for a role where product leadership meets practical AI building. Reach out if you are opening one. And if you have a specific problem for a small AI pilot, write as well.