Product Manager, AI

Luzia

. Own the roadmap for a product area, deciding what to build, what not to build, and which KPIs it needs to move .

Posted 11/5/2026full-timeMadrid • SpainMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing AI product development, including defining product roadmaps, evaluating AI feature performance, and collaborating with cross-functional teams. Proficient in utilizing data-driven insights to inform product decisions and enhance user experience.

Highest-signal resume keywords

Product ManagementExperience With LLMsSQL ProficiencyData-Driven Decision MakingTechnical Understanding Of Backend Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product Requirements WritingFeature SpecificationKPI DefinitionExperimentationAI Feature Evaluation

Soft Skills

Autonomous WorkFlexibilityTeam CollaborationCritical ThinkingCommunication

Tools & Technologies

Product Analytics ToolsSQL

Industry Keywords

B2C Consumer ProductConversational ProductsE-Commerce ProductsThird-Party API IntegrationsUX Design

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Own the roadmap for a product area, deciding what to build, what not to build, and which KPIs it needs to move
Use qualitative insight and data to guide product decisions
Work with Engineering, Design, and Growth to turn AI capabilities into products solving real user needs
Specify feature behavior, tool-calling conditions, human handoffs, and prohibited behaviors
Set team priorities and ensure engineering effort focuses on the highest-impact work
Define evaluation criteria and quality, latency, and cost metrics for AI features
Identify signals showing when a product change has caused a regression
Write product requirements and documentation
Run experiments and use results to guide subsequent product decisions
Challenge assumptions and present findings and recommendations to business leaders
Lead an AI product area end to end, including production delivery and backend-related trade-offs

Requirements

What you’ll need

4+ years building technology products as a product manager or through an equivalent route such as product engineering or a technical founder role
Meaningful experience in a B2C consumer product
Hands-on experience building with LLMs, including choosing the model, designing behavior, deciding when to call a tool or hand off to a human, and evaluating output quality
Ability to explain AI product costs, measure quality, and respond to system changes
Technical understanding of the full system behind a feature, including backend systems
Ability to participate effectively in design and architecture discussions with engineers
Strong data mindset and ability to use data to test decisions
Comfortable with SQL and product analytics tools
Ability to drive action, challenge ideas, reason through decisions, and make calls with incomplete information
Proven ability to work autonomously and flexibly in a fast-moving, resource-constrained environment
Ability to work with a team spread across countries
Fluent English
CV submitted in English
Nice to have: background as a developer or technical lead before moving into product
Nice to have: experience with conversational products, assistants, or agents in a consumer setting
Nice to have: experience with transactional or e-commerce products, including third-party API integrations
Nice to have: solid eye for design and UX

Benefits

Comp & perks

Hybrid working model combining work from the Madrid office and working from home