Product Manager

• Own key conversion metrics: conversion to purchase, and incremental revenue growth.
• Analyze user behavior and optimize every touchpoint — from the first ad impression to completed payment.
• Run high-velocity product experiments to improve acquisition efficiency and conversion rates at scale.
• Work closely with marketing to align creative strategy, messaging, and onboarding flows that drive purchase intent.
• Understand the impact of acquisition channels (paid, organic, referral, etc.) on user behavior and in-product conversion.
• Design onboarding and activation flows tailored to user intent, channel source, and behavioral profiles.
• Experiment with segments, warm-up strategies, paywalls, upsells, and offers to increase ARPU and first-time conversions.
• Deeply understand user pain points — listen to what users say, feel, and struggle with, and turn those insights into high-converting product journeys.
• Leverage UX and sales psychology techniques such as scarcity, urgency, storytelling, personalization, and social proof.
• Collaborate with growth marketing to craft irresistible value-driven offers, increase perceived outcome value, and reduce decision friction.
• Build and analyze behavioral funnels, attribution models, and key decision points to identify and remove conversion blockers.
• Translate insights into fast execution — build dashboards, run A/B tests, and prioritize actions with clear revenue impact.
• Work cross-functionally with performance marketing, product teams, analytics, and engineering to deliver end-to-end conversion impact.

Senior Growth Product Manager

• Define the vision, strategy, and roadmap for AI/ML product features (JobHunt Engine).
• Take full ownership of the product lifecycle from hypothesis to scaled impact, focusing on business results, not just model performance.
• Translate business problems into ML hypotheses and solutions.
• Work side-by-side with ML engineers and data scientists to define data requirements, evaluation frameworks (evals, RAG, agents), model monitoring, and delivery processes.
• Design and execute rapid, pragmatic validation cycles.
• Formulate clear hypotheses (Problem → Mechanism → Impact → Metric), choose the right validation method (A/B test, shadow model, phased rollout), and make data-driven go/no-go decisions under uncertainty.
• Apply critical thinking to decompose complex, ambiguous problems.
• Collaborate closely with Engineering, Data Science, and business teams.

Lead Tech AI/ML Product Manager

• Own and manage the product backlog for Pay-Out: feature definition, prioritization, sprint management.
• Drive the full development cycle in collaboration with engineering and business analysts.
• Conduct market research and develop go-to-market strategies for new segments and products.
• Work closely with the sales team: collect feedback, translate it into product requirements, communicate updates back.
• Personally participate in sales conversations to gather first-hand market feedback (customer discovery).
• Build complete value chains for new segments — from technical infrastructure and legal/compliance setup to support processes and sales playbooks.
• Ensure proper legal and financial operations for the direction.
• Track and manage P&L, budgets, and sales funnels.

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Senior Growth Product Manager

Lead Tech AI/ML Product Manager

Pay-Out Product Manager