Product Manager (AI)

TL;DR

Product Manager (AI): Owning data-driven analytics and SaaS solutions that help clients make portfolio management decisions with an accent on product strategy, roadmap development, and Generative AI innovation. Focus on defining LLM-powered features, balancing value and complexity, coordinating cross-functional delivery, and validating product impact with customers and usage data.

Location: Lisbon, Portugal

Salary: EUR 46,100–48,000 yearly

Company

A global consumer intelligence business delivering retail measurement, consumer data, advanced analytics, and client-facing technology platforms across more than 100 markets.

What you will do

• Own and manage the product roadmap in alignment with the broader Analytics & Activation strategy.
• Use market trends, competitive insights, customer feedback, usage data, and emerging Generative AI capabilities to define product requirements.
• Manage the backlog, prioritize features, assess value versus complexity, and coordinate cross-functional dependencies and risks.
• Work with developers and data scientists to execute and deploy product features.
• Coordinate PI planning, execution, and review cycles to support timely delivery.
• Collaborate with client success, commercial teams, and external customers to validate product effectiveness.

Requirements

• 4+ years of Product Management experience delivering data-driven, analytics, AI, or SaaS products in agile environments.
• Experience managing execution and coordinating cross-functional teams from requirements through launch.
• Strong written and verbal communication skills, including the ability to explain complex technical concepts to technical and business stakeholders.
• Ability to influence stakeholders and communicate effectively with clients.
• Understanding of Generative AI concepts, LLM-powered experiences, or AI-assisted analytics solutions.

Culture & Benefits

• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning access.
• Employee Assistance Program.
• Recruitment processes may use AI-supported tools, with human oversight and human-made final hiring decisions.