Product Manager – AI

This is a fully remote position, open to applicants in Spain.

📋 Description

• Take ownership of the entire product lifecycle, from identifying opportunities and framing problems to defining MVPs, launching products, analyzing results, iterating, and scaling.

• Convert business objectives and user challenges into precise product hypotheses, outlining scope, metrics, event tracking, user stories, and acceptance criteria.

• Rapidly build, test, and refine MVPs by utilizing user feedback, funnel data, cohort analysis, competitive insights, and AI-enhanced research.

• Establish the product vision, strategy, success metrics, and prioritization framework for one or more product streams.

• Configure or define product analytics, including events, funnels, cohorts, activation metrics, retention metrics, experimental logic, and reporting requirements.

• Collaborate closely with engineering, design, marketing, sales, support, and leadership within a remote or distributed setup.

• Oversee collaboration with outsourced and remote development teams, ensuring transparency in scope, quality, timelines, and product-related decisions.

• Integrate AI tools into daily product operations, including discovery synthesis, competitor analysis, drafting PRDs, exploring analytics, providing QA support, generating prototype ideas, and automating productivity.

⛳️ Requirements

• Several years of experience in product management, ideally within early-stage B2C, prosumer SaaS, creator/social, analytics, martech, or intelligence products.

• Demonstrated experience in launching MVPs or new product features from the ground up, including clear hypotheses, metrics, user feedback loops, and decisions made post-launch.

• Strong product analytics capabilities, encompassing event taxonomy, funnel analysis, cohort analysis, A/B testing, activation and retention metrics, and tracking requirements.

• Ability to manage multiple product tracks or experiments while maintaining clarity on priorities, ownership, decisions, and business impact.

• Technical proficiency sufficient to discuss APIs, data ingestion, event tracking, AI/LLM limitations, data quality, latency, edge cases, and implementation trade-offs.

• Experience collaborating with remote, distributed, or outsourced engineering teams.

• Exceptional written communication skills, including the ability to create clear PRDs, decision notes, experiment summaries, and stakeholder updates.

• High sense of ownership, autonomy, and comfort working amidst ambiguity without needing perfect inputs.

🏝️ Benefits

• Opportunity to influence the development of an early-stage product from its foundational strategic and operational levels.

• High degree of autonomy and direct impact on product development, user value, and business results.

• Remote-friendly environment within an international, distributed team.

• A culture that emphasizes experimentation, measurable outcomes, documentation discipline, and AI-driven productivity.

• Exposure to both B2C and B2B product challenges as the product and portfolio continue to evolve.