◉ DMITRII SHABANOV / 002 FILE: PM_PROFILE.v3 UPDATED · 2026

Mobile & Growth Product Manager.

I help fintech and crypto products grow by fixing the hardest part of the funnel — activation and first value. My work sits at the intersection of product, growth, and analytics — turning user behavior into measurable revenue.

Hire me → See work ↓

REC · SUBJECT_001 · ON FILE

// ROLEPM · Mobile / Growth

// PRODUCTveles.finance

// MAU60,000+

// STATUS● open to roles

§ 01 — About

The pitch.

// Why hire me

I treat onboarding and first value as core product mechanics — not marketing add-ons. My focus isn't shipping features. It's shipping levers that move metrics.

I build for the moment a user goes from curious to committed. That's where most fintech products quietly bleed revenue — and where I'm most useful.

I diagnose growth problems through SQL-driven analytics, not assumptions. I design experiments around timing, segmentation, and user intent. I tie product decisions directly to revenue and retention.

I'm especially effective in environments where data is available but underused — where growth is expected, but the system for experimentation is missing.

Activation First-value Monetization Funnels Cohorts SQL A/B testing Onboarding Mobile Crypto Fintech LLM-native

§ 02 — Track record

Numbers that compound.

// Two products. Two segments led.

Active users reached

60K+

MAU on Veles.finance — #1 in segment among algorithmic trading platforms.

Prior product

70K+

MAU at Uzhin Doma — Top‑3 meal kit service in its market.

JTBD interviews

60+

Refined segmentation, positioning, and reduced early churn.

Surfaces owned

iOS·Android

Mobile as a strategic engagement channel — not feature parity.

§ 03 — Capabilities

What I actually do.

// Hands-on, not advisory

01 / FUNNELS

Activation & first value

Diagnosing where curious users stall and turning that gap into a product mechanic — not a marketing fix.

02 / DATA

SQL-driven analytics

Cohort analysis, retention curves, churn definitions. Diagnosing growth from raw data, not from dashboards.

03 / EXPERIMENTS

A/B & causal tests

Designing experiments around timing, segmentation, and intent — with clear hypotheses tied to revenue.

04 / MOBILE

Mobile as a growth channel

Lifecycle pushes, first-value scenarios, engagement loops. Mobile owns retention — not feature parity.

05 / RESEARCH

JTBD & UX research

60+ user interviews, segmentation work, positioning. Pairing qualitative depth with quantitative weight.

06 / AI

LLM-native workflows

Claude Code, Cursor, custom Python tooling. Prototyping, research synthesis, agent simulations.

§ 04 — Track

Where I've shipped.

// 2023 → present

2024 — Present NOW

Product Manager — Mobile & Growth

Veles.finance · algorithmic trading platform #1 in segment · 60K+ MAU

// Mobile product

Contributed to launch and development of iOS & Android apps
Owned key flows: onboarding, activation, bot management, API setup, alerts
Defined UX and business requirements with design + engineering

// Mobile as a growth channel

Treated mobile as engagement & retention, not feature parity
Designed first-value scenarios and engagement mechanics
Planned push and lifecycle communication strategy

// Data-driven decisions

Built analytics for user journeys and engagement metrics
Used data to identify UX friction and prioritize improvements
Backed product decisions with before/after analysis

// AI-assisted prototyping

Used LLMs to support product research and routine workflows
Built lightweight prototypes of mobile flows in Claude Code & Cursor
Validated UX ideas faster — without engineering bandwidth

Oct 2023 — Nov 2024

Product Manager — Subscription

"Uzhin Doma" · meal kit service Top-3 in market · 70K+ MAU

// Product impact

Improved web and mobile user flows
Reduced early churn and increased subscription adoption
Led product experiments end-to-end

// Research depth

Conducted 60+ JTBD interviews
Refined segmentation and product positioning
Translated qualitative findings into testable bets

§ 05 — Stack

AI & tooling.

// LLM-native PM

Built with code.
Not just decks.

Most PMs talk about AI. I ship with it daily. I write Python tooling, async Telegram bots, and analytics scripts to extend what a single PM can do — and use LLMs to compress weeks of research into days.

I've built personal automations for job monitoring, multi-source scraping, and run agent simulations on platform data. The result: faster diagnostics, sharper hypotheses, and prototypes shipped without burning engineer hours.

Claude Code Cursor OpenRouter Python · async SQL Agent simulations

~/dmitrii — pm_workflow.py

$ analyze --funnel signup_to_first_trade → Loading cohorts (n=12,481)... → Detected drop-off: api_connection_step ✓ -47% conv. before first bot launch $ prototype --flow onboarding_v2 --tool claude_code → Generating SwiftUI prototype... ✓ Built in 2h. Validated with 6 users. $ simulate --agent users --strategy churn_30d → Spinning up agent profiles... ✓ Hypothesis: notification timing. ✓ Test queued. ETA: 14 days. $

§ 06 — Foundations

Education & training.

// HSE University · Moscow

// DEGREE

MSc — Digital Product Management

HSE University, Moscow · 2022 — 2024