Product Manager

Remote in Mexico,

Other Non-Tech, Product Management

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We are growing our product function to deliver AI-powered products and embed artificial intelligence across the full product lifecycle. As a Product Manager, you will shape strategy and roadmaps for multiple products, including at least one AI-driven solution, while using AI daily to speed up execution and support the team.

Responsibilities

Lead the vision, strategic direction, roadmap execution, and end-to-end delivery for one or more products, ensuring at least one solution is powered by artificial intelligence
Specify clear requirements and use cases for AI features as probabilistic products, defining data scopes, use-case fit, evaluation criteria, quality thresholds, safety guardrails, and human-in-the-loop review mechanisms as acceptance standards
Spot opportunities where artificial intelligence can boost product value, customer experience, internal processes, and business outcomes, and build and size rigorous business cases for implementation
Apply AI tools with disciplined oversight across product discovery, research synthesis, data analysis, documentation, user story creation, prototyping, and planning, verifying outputs before relying on them
Prioritize features, keep product backlogs healthy, and run release cycles, using AI-assisted analytics to inform rather than replace human decision-making
Oversee the full product lifecycle, accounting for AI-specific operations such as model and version changes, quality drift, and ongoing human oversight
Collaborate closely with engineering, data, design, and AI/ML teams to turn product intent into actionable requirements while navigating technical constraints in product decisions
Set realistic expectations with clients and stakeholders about AI capabilities and limitations, explaining benefits, risks, and trade-offs in clear, accessible language
Coach fellow Product Managers and strengthen the team's practical artificial intelligence proficiency by leading through daily example

Requirements

Hands-on product management experience of 5+ years, owning one or more products end to end through post-launch maintenance and support
Demonstrated history of shipping multiple products or major capabilities, including direct work delivering or meaningfully improving AI-powered products or features such as generative AI, machine learning, recommendation engines, search algorithms, or automation tools
Proven ownership of product strategy, vision, roadmapping, market analysis, and product visioning, with the ability to spot and justify high-value artificial intelligence opportunities
Extensive practice managing backlogs, cross-product dependencies, release cycles, product lifecycles, and ongoing customer support models
Strong familiarity with product profitability, competitive positioning, pricing strategies, and the cost, latency, and quality trade-offs that shape AI-feature economics
Deep subject matter expertise across 3 or more business domains, enabling you to serve as a trusted business-domain subject matter expert
Solid working AI literacy across current AI and generative AI/LLM capabilities, reliable boundaries, common patterns, and typical failure modes to guide product decisions and hold credible technical dialogues without requiring model-building knowledge
Proven ability to influence diverse stakeholders up to the VP level and lead critical components of complex product launches
Strong leadership capability to guide a team of Product Owners and Product Managers across a product line or family through the complete product lifecycle
Commitment to raising the team's practical AI proficiency by sharing verified working methods and coaching on requirements and evaluation criteria for AI features
Practical, daily utilization of artificial intelligence across research, discovery, analysis, documentation, user stories, prototyping, and planning, paired with rigorous output verification
Demonstrated ability to identify and justify high-impact AI opportunities within products, operational processes, customer experiences, and business outcomes
Comprehensive working AI literacy encompassing concepts, terminology, capabilities, and limitations at a product management depth
Proven experience defining rigorous requirements and use cases for AI features, incorporating evaluation criteria, quality bars, guardrails, and human oversight
Strong capability to evaluate AI outputs for quality, accuracy, risk, limitations, and overall user impact
Deep awareness of responsible-AI principles covering data privacy, algorithmic bias, security, transparency, and human oversight
Demonstrated ability to collaborate effectively with engineering, data, design, and AI/ML development teams
Unwavering adaptability and commitment to continuous learning as AI tools and capabilities rapidly evolve
Fluent English communication skills at a B2 level or higher

Nice to have

Advanced hands-on prototyping experience with AI builder tools achieving near-production fidelity
Proven ability to build product manager agents and multi-step automations streamlining research, backlog management, analytics, and communications
In-depth understanding of AI-feature economics, including cost, latency, and unit economics, alongside model lifecycle management covering drift, versioning, and vendor changes
Familiarity with emerging AI regulations such as the EU AI Act and relevant industry-specific compliance rules
Direct prior experience successfully scaling and taking an AI-powered product to production