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
Requirements
* 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
Benefits
* 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