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Product manager

Càrcer
Infatica.io
Publicada el 8 mayo
Descripción

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

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