AI Product Manager – Data Science Profile

Description

At Arena Analytics, we are looking for a **professional rooted in data science who has crossed over into the product world**. We are not looking for someone who merely "understands data at a high level" — we seek someone who has lived it from the inside and now wants to use it to build products that transform real businesses. *This is a* ***Mid-level*** *position — we seek someone with solid technical foundations and product instincts, yet still building their career at the intersection of both domains. If you already have 8\+ years leading teams or defining corporate-level product strategy, this role may be too junior for you.* We collaborate with industry-leading companies in Fast-Moving Consumer Goods (FMCG), Retail, and B2B, designing solutions for Commercial Management, Supply Chain, and Artificial Intelligence. If you have worked in data science and, at some point in your career, began thinking beyond the model — about the user, the business, and the product — this position was designed for you. **What will you do?** * **Translate science into product:** You will convert predictive models, data pipelines, and Gen AI solutions into clear, useful, and scalable product experiences for business users. * **Lead vision and roadmap:** You will define the evolution of analytical platforms, dashboards, and AI implementations alongside Data Science, Data Engineering, and UX/UI teams. * **Serve as the technical\-business bridge:** You will speak both languages fluently. You will understand the real implications of a model — its limitations, training times, technical debt — and translate them into product decisions. * **Make decisions with genuine technical judgment:** You will prioritize features by understanding what lies beneath: model architectures, evaluation criteria, trade\-offs between accuracy and latency, LLM agent design. * **Manage the full lifecycle:** Discovery, validation, development, launch, and monitoring — with heavy day-to-day operational execution, guided by the mindset of someone who once was the technical expert in the room. **REQUIREMENTS** **Mandatory:** * Degree in Data Science, Engineering, Actuarial Science, Mathematics, or related fields. * Practical experience in **data science or ML** — you need not be the top data scientist in the room, but you must have written code, worked with models, and understood their implications from the inside. * Genuine knowledge of **applied Gen AI:** model evaluation, prompt engineering, LLM agent architectures, or integration of foundational model APIs. Those who have not worked directly with these technologies will be immediately apparent. * Between **1 and 3 years in digital product roles** (PM, PO, or equivalent) — this position is for someone actively building that career, not for someone who has already consolidated it. * Proficiency in **Python and/or SQL** as a practitioner, not merely as a code reader. * Ability to define user stories, prioritize backlogs, and coordinate releases with technical teams. * **Advanced functional English:** client presentations, collaboration with global teams, technical documentation. Not CV-level English — boardroom-level English. **Highly valued:** * Experience in **FMCG, Retail, or CPG sectors** — understanding how data flows in these businesses makes a real difference in the ramp-up curve. * Exposure to analytical Supply Chain or Commercial Management projects. * **Experience working with global teams or stakeholders** — presentations, expectation alignment, or coordination with counterparts in other countries or regions. * Prior experience in consulting or environments handling multiple clients simultaneously. * Familiarity with product tools: Jira, Confluence, Figma, or similar. **Work mode:** Hybrid — Mexico City **What do we offer?** * Strategic projects with real impact on leading businesses in Mexico and LATAM. * A team where your technical background will be valued — not merely tolerated. * Autonomy to propose, build, and iterate — backed by a high-caliber, multidisciplinary team. * Competitive compensation and benefits exceeding statutory requirements. * Continuous professional development at the intersection of data, AI, and product. **Important note** This role is **not for a traditional PM** who learned to communicate with data teams, nor for a senior Data Scientist seeking a high-level strategic role. It is for someone who **was the data team**, who is now transitioning into product, and who wants to build that career with genuine autonomy. If this describes your current professional moment — we want to meet you. Employment type: Full-time, indefinite term Salary: $35,000\.00 \- $45,000\.00 per month Benefits: * Medical expense insurance Experience: * FMCG, Retail, or CPG sectors: 1 year (Desirable) * Generative AI: 3 years (Mandatory) * Product development: 1 year (Mandatory) * Extract, transform, and load data (ETL): 3 years (Mandatory) Language: * English (Mandatory) Work location: Hybrid remote in 03810, Nápoles, CDMX