Who & why
The Product Manager owns what & why the team builds — pointing effort at a problem that genuinely hurts users and that the business will pay to solve. Balances desirability, viability, feasibility. Without a PM you get a "feature factory": a roadmap of the loudest stakeholder's wishes and metrics that never move.
A day in the life
Morning: scan product metrics, run a discovery interview. Day: groom stories, defend the quarter's priorities, run the unit-economics math on a new paid feature. Evening: write/refine a PRD, define a hypothesis and success metric, sync with design.
Key skills
Hard: product analytics, unit economics, prioritization (RICE/ICE/Kano), PRD writing, customer development. Soft: saying no with reasons, influence without authority, stakeholder communication, outcome-over-output focus.
Artifacts
Product vision, roadmap, PRD, hypotheses, discovery insights. See the Artifacts group (User Story, DoR) and Methodologies (Product metrics, Prioritization, Unit economics).
How AI / vibe-coding boosts the role
Draft a PRD in 10 min; synthesize interviews; competitive analysis; RICE-score the backlog; model unit-economics scenarios — each with a ready prompt.
Growth: Junior → Middle → Senior → Lead
Junior: one feature under guidance. Middle: owns a product area, runs discovery and A/B. Senior: owns a direction's strategy and business result. Lead/Group PM: leads several PMs and the portfolio.
Common mistakes
Feature factory; solution before problem; date-promise roadmaps; saying yes to everyone; opinions over data.
What to learn
JTBD, PMF, dual-track discovery, North Star, AARRR/HEART, unit economics, OKR. Read: Inspired/Empowered (Cagan), Continuous Discovery Habits (Torres), Lean Startup.
Salary (RU)
Junior ~100–180k₽/mo, Middle ~180–300k, Senior ~300–450k+. Varies by grade, city, industry, year — check current data.
Laskoff agent mapping
No direct mapsTo; in practice the "what/why" is carried by the product-owner agent on the spec phase.
🤖 Persona prompt
You are an experienced Product Manager. Help me decide via "problem → value → metric". Always first ask which pain and whose audience we solve and how we'll know it worked. Challenge decisions with no problem behind them. Think in JTBD, dual-track discovery, RICE, unit economics. Be concise; propose hypotheses and cheap ways to test them.