Konstantin Peselev

Senior Product Manager · 10+ years in enterprise SaaS

Every technical decision is a business decision.

Product Manager's job is to build solutions that cause the most impact on the business. Thus, every roadmap is a business case first and a feature list second.
I've shipped products across AI, Platform, Data, and Growth.
The core task and focus are always the same: building technical solutions that drive the business.

Selected case studies

Behind those three is a background that spans both sides.
The technical instincts came from an engineering degree and years writing code early on; the business instincts from an NYU Stern MBA and years building companies. I co-founded LTV Europe, which was acquired, and grew MyDealerOnline past $1M ARR as an early PM.
It all came together at Totango, where I led Growth, Data Governance, and AI on a $40M ARR platform serving SAP, GitHub, and Dynatrace.

That range compounds. I can turn an architecture debate with engineers into a roadmap an executive will fund.

How I work with AI

An AI-first feature can work flawlessly and be utterly useless. Product Managers have always owned the value, and today that means deciding where AI belongs and which parts stay in deterministic code. Where AI is applied, the PM owns the evals ↗.

Decide more than you investigate, investigate more than you delegate, and delegate as much as you can.

How I decide what to hand to an agent.

Two places I've put that into practice:

Friends RAG — a RAG system over 236 episodes: multiple retrieval modes, reranker evaluation, and a few places where the standard tutorials are wrong.

Applywright — an agentic pipeline for my job search. It offloads the low-judgment steps so I can focus on the few steps that disproportionately shape the outcome. The same reason AI shouldn't turn a team into a feature factory: cheaper code should buy better judgment, not more features.

You're welcome to download my resume or take a look at my work.

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