Peter Škoda in

Peter Škoda

Observer · DISC type ci
Director of Engineering at Kontent.ai
📍 Brno, South Moravia, Czechia

Peter Škoda is the Director of Engineering at Kontent. ai, leading the evolution of the companys technical teams. An alumnus of Masaryk University with an MCSA certification, he has a history of speaking at tech conferences on topics ranging from product discovery to scaling engineering organizations.

There is no publicly available information about his personal life or hobbies.

He is a public speaker who has presented at events like the Update Conference in Prague, sharing his experience on growing an engineering department from one to ten teams.

Read the full overview →
Experience
13 Years
Current Role
Director of Engineering
Job Level
Mid-senior
Location
Brno, South Moravia, Czechia
Personality Overview

How Peter shows up

Value Driven
Example Seeker
Assertive

They are generally strong communicators and are not easy to convince. They can sound friendly and charming but can quickly change gears to become inquisitive and probing. They often ask many questions and rely heavily on information and documentation.

Priorities

Topics Peter cares about

Scaling Engineering Teams
He delivered a talk at Update Conference Prague 2023 detailing how Kontent. ai successfully scaled from a single engineering team to ten.
AI Integration
Writes about connecting content operations to the AI ecosystem, enabling AI agents to work with content, and using AI for rapid content model prototyping.
+4 more topics Login to view topics
Career

Work history

11-2025
Director of Engineering
Kontent.ai
6-2024 - 11-2025
Engineering Manager
Kontent.ai
9-2019 - 6-2024
Team Lead
Kontent.ai
10-2017 - 3-2018
.NET Team Lead
SnapShot GmbH
1-2017 - 9-2017
Senior .NET Developer
SnapShot GmbH
In the press

Media appearances

No media yetWe could not find public media appearances for this person.
Education
2005 - 2010
Master's degree
Masarykova univerzita
Education details unavailable
Safarika
Social presence
in
Behavioral profile

DISC profile (public)

c

Calculativeness (C)

Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.

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