Product Manager - AI
Résumé du poste par JobGrid
Product Manager - AI at Infatica.io: Remote, Espagne; Temps plein; IT; Product Manager. This listing is part of JobGrid's Emplois IA à distance depuis des pages carrières. 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 Emplois product manager à distance depuis des pages carrières.
- Location and workplace: Remote, Espagne
- Role classification: IT, Product Manager, Temps plein
- 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