Mark Serdyuk/Product Manager

From an idea
to a product
that works.

I’m Mark Serdyuk, a Product Manager.
I build AI products and B2B platforms.
Connecting research, technology
and measurable business impact.

100 M RUBeconomic impact / year
700+leaders use the AI assistant weekly
Mark Serdyuk — a stylised AI portrait
Currently at Magnit TechAI products & internal platforms
A little AI — even in the portrait.

Experience & project work

Magnit TechYandexGazprom NeftT-BankX5 Group
01 Selected work

From a question
to a result.

Three projects that best
represent the way I work.

02 How I work

Understand the why.
Then build the how.

01

Understand

Needs, context, constraints. Interviews and data before choosing a solution.

02

Evaluate

Value, product metrics and economics. Clear criteria for success.

03

Launch

Priorities, requirements and teamwork. From a hypothesis to real use.

04

Improve

Feedback, impact measurement and the next product iterations.

My toolkit

CustDev · JTBD · CJM · Unit economics · SQL · LLM · Multi-agent systems · A/B tests

A small experiment / 01

What is
saved time
worth?

Move the sliders to explore the potential of AI automation for a team.

An illustrative model, not a calculation for any of my projects.

Automation potential
100
20
1000
60
Annual value of time freed up4,8 M RUB

4,800 hours per year

Method and limitations

Users × minutes / 60 × hourly cost × 240 working days × adoption rate.

This estimates the value of time, not guaranteed budget savings. Implementation, model, support and quality assurance costs have not been deducted.

03 Now and along the way

Still
moving forward.

Follow via RSS ↗
Current focus

AI products
at Magnit Tech.

Developing internal platforms, bringing AI into workflows and helping teams use it.

Moscow · September 2026
  1. Work

    AI in leaders’ everyday work

    At Magnit Tech, launched an AI assistant with 700+ weekly users and trained over 150 product managers and team leads in AI tools.

  2. Launch

    A new service scenario at Yandex

    Brought “Mover without a van” from needs research into production.

  3. Teaching

    Sharing what you know

    Developed business analytics materials, reviewed 100+ cases and taught classes of up to 170 students.

04 The person behind the work

Curiosity is
a skill, too.

I’m Mark. I enjoy making sense of complex problems, turning that understanding into working products and sharing what I learn.

Beyond product work: teaching, piano, sport and generative art. I created the CU:/dev/art exhibition and founded a student sports club.

Alongside my product career, I explore entrepreneurship through a GenAI project in the beauty industry.

CU:/dev/art4 piano awardsSport & community
2024—2028

Central University

Mathematics and Computer Science · Product Management.

2025—2026

Teaching business analytics

100+ cases reviewed, classes for audiences of up to 170 students.

2025

Gazprom Neft Corporate University

A programme for project leads and product teams.

7

scholarships

Potanin Foundation, T-Bank, Central University, Avito, Sber, Reksoft Consulting, Moscow Exchange.

3

hackathon wins and podium finishes

AI&Business SPB, “Idea. Code. Release.”, Datathon 2.0.

↗

DEADLINE finalist and mentor

From the 2024 final to mentoring podium teams in 2025–2026.

More projects and research

T-Bank

131 in-depth interviews with auto services, a partner pipeline for 5 regions and an acquisition landing page.

X5 Group

Field research across 9 regions, a CJM and 50+ proposals for the partner directors’ authority system.

National Education Strategy 2040

Led a working group of 8, gathered input from 100+ experts and presented the results to government bodies.

Research and BRICS

Research on retail investors in BRICS countries and a payment transformation proposal, presented in Brazil in May 2025.

05 At a glance

Questions and answers

What does Mark Serdyuk do?

I am a Product Manager working on AI products, B2B platforms and internal services. I currently work at Magnit Tech; previously, I launched a service scenario at Yandex and researched automation at Gazpromneft Business Service.

What is my experience with AI adoption?

At Magnit Tech, I built and launched a multi-agent AI assistant with over 700 weekly users in leadership roles. I also trained more than 150 product managers and team leads in AI tools. Read about the project.

Where can I find projects and my CV?

The site presents three projects with their challenges, my role and outcomes. My full experience is available in the Russian-language CV. Projects · CV PDF · RU ↗

How can you contact me and follow updates?

You can contact me on Telegram to discuss a product role or an AI challenge. I share milestones in the Now section, with an RSS feed for updates. Telegram · RSS

The next conversation

Good products
start with a
conversation.

A product role, an AI challenge, or simply a catch-up.

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