Senior Product Manager (AI RnD) Full Time

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.

  Alena Khutorna
  Talent Acquisition Manager
  Join our team