Infatica.io

Product Manager - AI

🇪🇸 Remoto, Espanha Remoto TI Tempo inteiro Publicado Mai 11, 2026
Localização Remoto, Espanha
Modalidade Remoto
Contrato Tempo inteiro
Categoria TI
Categoria IT Product Manager
Idioma English
Publicado 11 de Maio de 2026
Última verificação 30 de Maio de 2026
Contexto da JobGrid

Resumo da vaga pela JobGrid

Product Manager - AI at Infatica.io: Remoto, Espanha; Tempo inteiro; TI; Product Manager. This listing is part of JobGrid's Empregos remotos de IA em páginas de empresas. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying. This listing is part of JobGrid's Empregos remotos de product manager em páginas de empresas.

  • Location and workplace: Remoto, Espanha
  • Role classification: TI, Product Manager, Tempo inteiro
  • Source freshness: checked by JobGrid on 2026-05-30.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

We are looking for an experienced, highly autonomous Product Manager to own early-stage product development

end-to-end: from discovery and validation to MVP launch, iteration, and scaling. The role is focused on an AI-

powered social analytics / social intelligence product and requires a product leader who can combine customer

discovery, product analytics, fast experimentation, technical understanding, and daily AI-enabled execution.

This is not a coordination-only role. The right candidate must be able to personally create product artifacts, work

with data, structure hypotheses, pressure-test AI-generated insights, and move from ambiguity to shipped

outcomes without heavy supervision.

What You Will Own

  • Own the product lifecycle from opportunity discovery, problem framing, MVP definition, launch, analytics,

iteration, and scale.

  • Translate business goals and user problems into clear product hypotheses, scope, metrics, event tracking, user

stories, and acceptance criteria.

  • Build, test, and iterate MVPs rapidly using user feedback, funnel data, cohort behavior, competitive signals, and

AI-assisted research.

  • Define product vision, product strategy, success metrics, and prioritization logic for one or more product

streams.

  • Set up or specify product analytics: events, funnels, cohorts, activation metrics, retention metrics, experiment

logic, and reporting needs.

  • Work closely with engineering, design, marketing, sales, support, and leadership across a remote/distributed

setup.

  • Manage collaboration with outsourced and remote development teams, keeping scope, quality, timelines, and

product decisions transparent.

  • Use AI tools as part of daily product operations: discovery synthesis, competitor monitoring, PRD drafting,

analytics exploration, QA support, prototype ideation, and productivity automation