Product Manager - AI
Salary context for this role
JobGrid.eu combines visible employer pay, official public benchmarks, and current JobGrid listings for Product Manager.
Official sector context
EUR 19.36 / hour Approx. EUR 40,269 / yearSpain country-level public salary context for Professionals in Information and communication; not a role-specific salary estimate, based on 2022 earnings data.
- Match quality
- Context only, not a role salary
- Geography
- Country-level
- Sector
- Information and communication
- Occupation group
- Professionals
- Salary observations
- 2022 earnings survey
- Official record updated
- Feb. 9, 2026
- Checked by JobGrid
- May 11, 2026
JobGrid listing details
JobGrid.eu keeps the employer description in its original language and adds clear listing facts, freshness, and source context so candidates can evaluate the role before applying.
- Key details
- 1 location, IT, Product Manager, Remote, Full time
- Current openings
- 6 active jobs
- Original language
- English
- Source and freshness
- Collected from public career pages and reviewed through JobGrid.eu source availability checks. Last verified: May 14, 2026.
- Apply path
- JobGrid.eu sends candidates to the original application page and adds non-personal referral parameters.
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