Bestseller · 3 days, in person

The AI-Native Engineering Manager

You leave running your team the way the job works now that AI changed it: your priorities, your spend decisions, your pipeline, and your reporting all rebuilt around AI, in 3 days.

Not an AI-productivity add-on bolted onto a leadership course. AI changed what an engineering manager does before 10am. This workshop teaches the new job.

42,000 CZK per seat · from 620,000 CZK in-house

Marian Kamenistak teaching engineering managers at an Engineering Leaders course
Trusted by
RohlikMicrosoftKiwi.comFTMO

Not for

  • Individual contributors who want to code faster with AI. This is a leadership program, not a prompting bootcamp.
  • CTOs looking for company-wide AI strategy. Send your managers.
  • First-time managers who haven’t run a team yet. Start with L1.

Who it is for

  • Engineering Managers and Senior EMs leading 5 to 15 engineers whose team already has Copilot or Claude licenses and nobody can say what changed.
  • Tech Leads stepping into management inside an org that declared itself “AI-first”.
  • Heads of Engineering at scale-ups who own delivery and get asked “what’s our AI ROI” in every board prep.

The program

5 modules over 3 days.

  1. Run yourself. The morning AI routine.

    You stop starting the day reactive. Priorities come to you ranked; you spend the morning on the two things only a manager can do. Take home the ELA Morning Brief pack.

  2. Decide. Manual vs AI vs which model, with real cost math.

    AI spend decisions stop being vibes. You leave with two of your own backlog items decided and priced on the ELA Cost-Math Sheet with Czech dev-cost baselines.

  3. Run the team. Adoption without AI theater.

    Adoption becomes pull, not mandate. You know who needs air cover, who needs a brake, and what you measure instead of “AI usage”. Take home the Adoption-Readiness Grid.

  4. Run the pipeline. AI-native value delivery.

    You leave with your team’s pipeline redesign on paper, sequenced, with the first change scheduled for the sprint after you’re back, run against a real setup catalog.

  5. Communicate. Writing and data storytelling with AI.

    You leave with one real artifact: your next exec update, built, reviewed, ready to send, with the AI smell stripped out.

Close-up of engineering leaders working together at a session

From where you are, to where you walk out.

Before

Monday starts with 40 Slack threads and a stale Jira board.

After

Monday starts with a 20-minute AI routine that hands you team priorities, risks, and the two conversations that matter today.

Before

“Should we build this by hand or with AI?” gets decided by whoever shouts loudest.

After

You run the cost math in front of the team: dev-hours vs token spend vs review overhead, and the decision holds.

Before

Half the team uses AI, half rolls their eyes, and standup is theater.

After

Each engineer has an adoption position you can name, and the skeptic is your best reviewer instead of your problem.

Before

AI is bolted onto the old pipeline: same estimates, same review queue, doubled confusion.

After

Planning, estimation, review, and testing redesigned around what AI actually parallelizes.

Before

Your exec update is a wall of Jira links nobody reads.

After

Your update is a data story built with AI in 30 minutes that gets your headcount ask approved.

What you walk out able to do.

  • Run a morning AI routine that turns team signals into a ranked priority list before your first meeting.
  • Decide manual vs AI-assisted vs AI-automated for a real feature from your backlog, with the cost math written down and defensible to your CFO.
  • Pick the right model for a task class and say out loud why the expensive one is wrong for 80% of your workload.
  • Name each engineer’s AI adoption stage and run the 1:1 that moves the skeptic without a mandate.
  • Redraw your delivery pipeline, planning through deploy, and mark where AI changes estimation, review, and testing.
  • Spot AI theater in your own team within one sprint: visible AI activity, zero delivery change.
  • Turn your team’s delivery metrics into a data story your CTO forwards upward.
Engineering managers working through AI cost-math exercises in a training room
A large audience of engineering leaders at an ELC event
A packed room at an Engineering Leaders meetup
An engineering leader presenting to a full room

Format

Format and price.

  • 3 days, in person. The flagship of the Academy ladder.
  • Take-home artifact packs from every module, built on your own team’s real work.
  • Personal-situation mentoring baked in: bring one real problem, leave with a plan.
  • A guaranteed talk slot at an ELC meetup with 120+ leaders within 6 months.
  • Multi-year −15%. Founding rate: first 5 companies −20%, until the pilot cohort starts.
Open-enrollment seat42,000 CZK per seat
In-house cohortfrom 620,000 CZK in-house
Company yearly leadership programIncluded in Scale & Org subscriptions

Prices in CZK, excl. VAT. Published, not on request.

Faculty

Our Lecturing Masterminds

Our team is unique. We are not consultants selling academic theories or empty certificates. They have built multiple unicorn companies and helped organizations scale from startups to scale-ups to established corporates.

Marian Kamenistak, Engineering Leaders Community

Marian Kamenistak

Engineering Leaders Community

Time to Value, Release cycle, Software talent, Team autonomy, Scalability

In-house cohorts

Tailored Leadership Training for Your Ambitions

No two organizations are the same. That is why our learning designers have crafted a selection of sessions focused on the key challenges faced by today's leaders. We work together to customize these sessions specifically to your needs. Our experts do the heavy lifting throughout the process and craft the program that is just right for your organization.

Full-room energy at an Engineering Leaders event
Attendee engagement at an Engineering Leaders event

What nobody else offers

The parts a competitor cannot copy in a quarter.

01

The cost-math sheet, not just the framework.

Reforge, Stanford, Wharton, and Kellogg teach “AI strategy”. None teaches an EM how to decide manual vs AI vs which model for a specific feature, with real money attached. Module 2 does, on your own backlog.

02

The daily operating rhythm as a working pack, not a slide.

No competitor answers “what does my Monday look like when half my team uses AI and half doesn’t.” The Morning Brief pack is built from real Monday failure modes.

03

When NOT to use AI.

Everyone sells adoption; nobody sells the brake. Module 3 teaches theater detection with a concrete tell list: usage dashboards up, cycle time flat.

04

Pipeline redesign, not tool bolting.

Management courses teach workflow, AI courses teach strategy; none redesigns planning-to-deploy for AI-native delivery. Module 4 runs your pipeline against a real setup catalog.

05

A local peer cohort that hires, not an alumni newsletter.

A 42,000 CZK seat buys a cohort that meets again at the Prague meetup, a contracted talk slot in front of 120+ leaders, and a network your next hire already sits in.

“AI changed what an engineering manager does before 10am. This workshop teaches the new job.”

Proof, honestly labeled

What we can stand behind today.

  • Companies that trained their managers with us: Rohlík, Košík, Mews, Kiwi.com, Česká spořitelna, Trezor, and Apify.
  • 9.3/10 average from 21 participant reviews across the Academy programs this flagship grew out of.
  • Trusted across the Engineering Leaders community: partners include Microsoft, Barclays, Productboard, and Ataccama.
  • Run by the founder of the 2,000+ member Engineering Leaders community across Prague, Brno, Bratislava, and Krakow.

This workshop is new. The scores and logos above come from the Academy programs it grew out of, not from this cohort. No paid promotion runs until the pilot cohort has run or three signed letters of intent are in hand; first-cohort outcomes then replace this section, unedited.

The AI-Native Engineering Manager

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