Product Manager

About the Role

Infatica.io is looking for an experienced and highly autonomous Product Manager to lead early-stage product development. You will own products end-to-end—from idea validation and MVP launch to iteration and scaling—primarily in B2C, with optional exposure to B2B solutions. This role suits a hands-on product leader who thrives in fast-paced, distributed environments and uses data and AI to drive decisions.

Responsibilities

• Own the full product lifecycle: discovery, MVP definition, launch, and iteration
• Build, test, and iterate MVPs rapidly based on data and user feedback
• Manage and prioritize multiple products simultaneously
• Define product vision, strategy, and success metrics
• Collaborate with remote and outsourced development teams
• Set up and analyze product analytics, funnels, cohorts, and experiments
• Make data-driven decisions balancing business and user needs
• Work cross-functionally with engineering, design, and stakeholders
• Actively use AI tools to improve product discovery, delivery, analytics, and productivity

• Strong experience with early-stage products, primarily B2C
• High level of ownership and independence
• Experience managing remote and outsourced teams
• Proven ability to run MVPs, experiments, and hypothesis-driven development
• Strong product analytics expertise (metrics, A/B testing, tracking setup)
• Experience working with technical products; software development background or strong technical understanding
• Mandatory hands-on experience using AI tools
• Excellent communication and prioritization skills

Nice to Have

• Experience launching products from zero to product-market fit
• Startup or fast-paced environment experience
• Knowledge of Russian is an advantage

• Opportunity to own and shape products from the earliest stages
• High autonomy and direct impact on product and business outcomes
• Flexible working hours and remote friendly
• Work in a fully distributed, international team
• Exposure to both B2C and B2B product challenges
• A culture that values experimentation, data-driven decision-making, and AI-powered innovation