Technical Product Manager (AI)

Location: Vilnius, Lithuania

Salary: From 4460 EUR/month gross, based on experience and competence.

Company

hirify.global develops mobile games played by millions of people worldwide.

What you will do

• Own the AI personalization project end-to-end, defining its product vision, strategy, roadmap, priorities, and success metrics from concept through production.
• Lead collaboration across Engineering, Data Analytics, Game Design, Monetization, User Acquisition, and other teams.
• Translate business opportunities into technical requirements and work with ML engineers and developers on scalable AI-driven solutions.
• Lead AI-powered monetization initiatives, including personalized advertising frequency and timing, in-app offers, pricing optimization, and purchase recommendations.
• Drive dynamic gameplay personalization using player behavior, skill levels, and engagement patterns to improve difficulty, player experience, and retention.
• Define tracking requirements, A/B tests, KPIs, evaluation frameworks, and technical approaches including predictive modeling, recommendation systems, contextual bandits, and reinforcement learning.

Requirements

• 5+ years of experience in Product Management, Technical Product Management, or a related product leadership role.
• Strong technical understanding of software architecture, data infrastructure, and backend systems.
• Strong understanding of machine learning, AI-based decision systems, and practical AI applications.
• Proven experience leading technically complex, cross-functional projects from concept to launch.
• Strong analytical skills and confidence working with large datasets, KPIs, and experimentation results.
• Experience defining product requirements, prioritizing roadmaps, and managing technical stakeholders.
• Good understanding of A/B testing, statistical significance, and data-driven product development.
• Excellent communication, ownership, and problem-solving skills.
• Ability to challenge technical assumptions and make informed decisions without personally writing production code.

Nice to have

• Previous experience in mobile gaming or strong knowledge and interest in gaming.
• Desire to drive efficiency, improve processes, and enhance understanding of business drivers.
• Understanding of mobile gaming metrics, including ARPDAU, ARPU, LTV, ROAS, retention, and churn.
• Experience working directly with data scientists or ML engineers.
• Experience with user acquisition, cohort analysis, and player segmentation.
• Experience taking a data-driven, ML-powered, or AI decisioning product from discovery through production deployment, including measurable business outcomes, experimentation, and post-launch optimization.

Culture & Benefits

• Full-time role based in Vilnius.
• Work across engineering, analytics, game design, monetization, and user acquisition functions.
• Opportunity to build AI personalization capabilities for multiple mobile games.

Hiring process

• The role involves defining the AI personalization strategy, technical requirements, KPIs, and roadmap during the first three months.
• Initial priorities include understanding game mechanics, monetization flows, analytics infrastructure, and available player data, then aligning stakeholders and selecting high-impact use cases.