Requirements

• 4+ years of Product Management experience, including at least 2 years working on B2C products driven by paid user acquisition.
• Experience owning the full product lifecycle—from discovery and hypothesis validation to delivery, launch, and performance measurement.
• Strong analytical skills with hands-on experience using SQL and product analytics tools such as Amplitude or Mixpanel to build funnels, analyze cohorts, and measure the impact of product changes.
• Solid understanding of unit economics, including CAC, ARPU, payback, and margin per user action.
• Technical understanding of APIs, third-party integrations, rate limits, and asynchronous workflows, with the ability to discuss implementation cost and technical trade-offs with engineers before an initiative enters the sprint.
• Comfortable working in fast-changing environments where priorities evolve and not every hypothesis succeeds.
• Ukrainian proficiency for internal communication and English at B1 level or above.

Would be a plus

• Experience building products powered by generative AI or integrating third-party AI models.
• Experience with token- or credit-based monetization, subscriptions, payment systems, and fraud prevention.
• Experience with web-first products outside of app stores, including custom checkout flows, geo-based pricing, and payment failure optimization.
• Experience building products from 0 to 1, taking an idea from concept to first revenue.
• Experience working closely with performance marketing teams and understanding how product events support acquisition optimization.

Responsibilities

• Drive product discovery and find product-market fit by identifying target audiences, understanding user problems, conducting customer interviews, analyzing competitors, and validating hypotheses through rapid experiments on live traffic.
• Own the product roadmap and backlog, prioritizing initiatives based on available resources while working closely with a backend engineer, designer, and the broader Gismart team.
• Optimize activation and monetization across the entire user journey—from ad click to first generation and first payment—by improving onboarding, time-to-value, paywalls, and repeat token purchases.
• Define and evolve the token economy, pricing, packaging, usage limits, and AI model catalog while balancing user value with model costs. Decide which models to add, which to remove, and how to communicate those choices to users.
• Build a product analytics foundation from day one, including event tracking, funnels, cohorts, retention, payback analysis, and connecting product metrics with marketing performance.