AI-Driven Product Manager for Growth & Monetization

Tamarind Intelligence; Barcelona; Presencial; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible hours

Health insurance

Training budget

Barcelona office access

Descripción de la vacante

Leadtech Group seeks an AI Product Manager to own a web product end-to-end, focusing on why users subscribe and where the funnel breaks. The role covers traffic, landing pages, signup and checkout flows, the subscription model, and daily PM work—from backlog to specs.

You will pull your own data, trace issues to root causes, and apply AI to move from insight to shipped features. Collaboration across design, engineering, data and marketing is essential, with ROI and scalable processes in focus.

Formación

• Experience managing B2C web products as a Product Manager.
• Ability to pull and interpret your own data and run experiments.
• Hands-on backlog management, sprints and documentation in JIRA or Azure DevOps.

Responsabilidades

• Own and groom the product backlog with clear user stories and acceptance criteria.
• Run product ceremonies with engineering and keep delivery predictable.
• Maintain product docs in Confluence or Notion and keep them useful after launch.
• Improve team processes from discovery to post-launch follow-up.
• Coordinate with design, engineering, data and marketing and keep stakeholders informed.
• Build automated workflows that scale output without headcount growth.

Conocimientos

B2C web products experience

Data-driven

Backlog management

AI-driven feature development

Strong communicator

Herramientas

JIRA

Confluence

Notion

SQL

Amplitude

GA4

Looker

Descripción del empleo

Leadtech Group seeks an AI Product Manager to own a web product end-to-end, focusing on why users subscribe and where the funnel breaks. The role covers traffic, landing pages, signup and checkout flows, the subscription model, and daily PM work—from backlog to specs.

You will pull your own data, trace issues to root causes, and apply AI to move from insight to shipped features. Collaboration across design, engineering, data and marketing is essential, with ROI and scalable processes in focus.