Marian Kamenistak
AI Engineering Leadership Keynote Speaker, Founder of Engineering Leaders Community • Engineering Leaders Community
Czech Republic •
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About
4.7/5 average feedback from the rooms I spoke to over the last six years. A true tech background: Databricks architect, Mews VP Engineering, so engineers trust what they hear. I work the room with polls, questions and stories people recognise from their own Monday. Every talk ends with a practical tool the audience uses the next day. After the talk I stay and mentor participants on the spot.
Speaking Topics
Signature Programs (5)
Building a talent-attracting learning system, from a leader who has run it. Practical steps for a strong learning and growth culture on an engineering team.
Format
Duration
45-60 min keynote or 4-hour workshop
Delivery
Your teams adopted AI and got faster. Your calendar did not. One engineering manager went from 8 people to 26 in a year on the same hours: his teams shipped about 30% faster and his double-booked hours went up 2.5x. The talk walks through the four weekly routines he handed to AI, the roughly 100 plain-English rules that run them, and what stays human. You walk out with your first AI management workflow to try next week.
Audience
Engineering Managers, Directors, VPs of Engineering
Format
Duration
45-60 min
Delivery
Most engineers still price themselves like employees: hours in, title up, raise once a year. That broke the moment one person with AI started delivering what a team used to. So run yourself like a portfolio. Funds: your core craft. ETFs: product sense, decisions, communication, network. Crypto: agentic coding, AI code reviews, AI planning. We sort which of your holdings AI just made cheap, and where to rebalance. You walk out with the 8-step market-value playbook and the Developer Value Calculator. My most requested talk.
Audience
Senior engineers, Staff+ engineers, Tech Leads
Format
Duration
45-60 min
Delivery
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