About
Mikhail Semenov
AI Product Manager: I own the product and move it through thoughtful AI adoption. Right now my focus is voice AI agents for B2B at Prof-IT. Alongside that I ship side projects end-to-end with AI agents (Claude Code, Codex), validating hypotheses in days, not sprints. Remote, GMT+5, open to relocation.
01 · Now
Voice AI agents for B2B
I have been at Prof-IT since early 2022: I came in as a PM on its voice products, zvonobot and effebot, where robots call clients with pre-recorded scripts. Once LLMs learned to hold a real conversation, it became clear that recorded scripts would only get us so far. That is how the group’s new product came about in 2026, launched and now scaled by me: voice AI agents for B2B that talk to people live instead of playing a recording.
I run the product end to end, from the client console to billing. In 2026 the agents have handled over 500,000 minutes of new-customer conversations.
02 · Where I add the most value
AI embedded into real workflows
Products where AI does the actual business job, not just lives as a demo. Sweet spots:
- AI that solves a real business job, not AI that lives as a demo
- Products where AI removes busywork and speeds teams up
- Voice and conversational AI scenarios (one of the domains)
03 · How I work
I ship code paired with AI agents
I build my pet projects with AI coding agents (Claude Code and Codex). That lets me validate hypotheses in days rather than sprints, and stay on the same page with engineers. Each pet project on this site went from idea to a working release in 1–7 days.
04 · What matters in a role
Ownership and a short idea-to-validation loop
- Autonomy and ownership on ambiguous problems
- A short loop from idea to validation
- Product logic on top of AI, not AI for its own sake
- Teams where I can carry a problem end-to-end, not one step in a long approval chain
05 · Open to
AI Product Manager who drives the product through AI
Open to AI Product Manager roles where I own the product and move it through thoughtful, purposeful AI adoption, not AI for its own sake. Voice is just one domain where I’ve already done this; I’m interested in any product where AI solves a real business job. Format: remote (I’m in the GMT+5 zone), open to relocation. Russian native, English at working proficiency, comfortable in written and async communication.
06 · Where I’m a weaker fit
An honest anti-fit
So we don’t waste each other’s time, here is where I’m not the best pick:
- Pure research ML / data science with no product layer on top
- A single step in a long approval chain with no ownership over the problem
- Products that add AI as a checkbox rather than for a real business job
- Roles needing C-level live negotiation in English (written and async are comfortable)
Skills
Core skills
Grouped around what matters for an AI Product Manager role: product, AI/LLM, delivery, and a shared language with engineers.
Product
- Product discovery
- Product strategy
- Roadmap
- Метрики · unit-экономика
- CustDev
- B2B SaaS
- Go-to-market
AI / LLM
- Voice AI agents
- Conversational AI
- LLM orchestration
- Prompt engineering
- RAG
- AI-в-workflow (не demo)
Delivery
- Spec → review → ship
- Agent-native (Claude Code, Codex)
- Lean Startup · 0→1
- Быстрая валидация гипотез
Tech (shared language with engineers)
- React / Next.js
- TypeScript
- Python / Flask
- PostgreSQL / Redis
- REST · интеграции
- Телефония
Get in touch
Open to AI Product Manager roles where the product moves through smart AI adoption.
Tell me about the product and the problem, and I'll tell you where AI actually moves the needle and where it doesn't.
