Product manager (ai) — banking & financial services location: guadalajara & cdmx | job type: full-time wizeline overview wizeline is a global ai‑native technology solutions provider that develops cutting‑edge, ai‑powered digital products and platforms. We partner with clients to leverage data and ai, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there’s no limit to what we can achieve. Role summary we’re looking for a product manager with strong ai fluency and deep familiarity with banking & financial services (bfs). You’ll own strategy, discovery, and delivery for ai applications and accelerators that solve real business problems in fraud, credit risk, aml, and personalized advisory, working cross‑functionally with clients and engineering to ship measurable value. Key responsibilities define product vision, roadmap, target users, and business objectives for ai applications and accelerators in bfs. Identify, prioritize, and validate high‑impact ai use cases (e.g., fraud detection, aml, credit risk, personalization). Lead rapid prototyping, pilots, and pocs to prove value and roi; iterate post‑launch using kpis and user feedback. Translate complex client needs into actionable requirements; bridge business goals with ai/ml and data capabilities. Drive the full product lifecycle in an agile environment, partnering with ai/ml engineers, data engineers/analysts, ux, and sales/go‑to‑market stakeholders. Track emerging ai tech, market trends, and competitive offerings relevant to bfs; embed learnings into the roadmap. Must‑have skills (include years of experience) 5+ years as a product manager delivering data‑intensive or ai/ml‑powered products, ideally in bfs. Proven product strategy, discovery, and definition experience across the end‑to‑end lifecycle (from ideation to post‑launch optimization). Strong data proficiency and comfort with ambiguity typical of ai projects; solid grasp of ml concepts, model lifecycle, and data infrastructure. Experience working in agile teams with cross‑functional partners (engineering, data, ux, sales/stakeholders). Excellent communication, stakeholder management, and storytelling skills (technical and non‑technical audiences). Education: bachelor’s degree in business, computer science, data science, or a related field (mba a plus). English level: advanced (c1) or above for client‑facing work. Nice‑to‑have ai tooling proficiency: use one or more ai tools to optimize day‑to‑day work (drafting, analysis, research, or process automation), recommend effective use, and spot workflow streamlining opportunities. Job posting template experience launching ai products/accelerators with measurable business outcomes. Exposure to mlops and model governance in regulated bfs environments. Understanding of bfs regulatory/compliance needs; experience with value‑based pricing and roi demonstration. Relevant certifications (e.g., cspo, pmi-acp, ai/ml credentials). What we offer a high‑impact environment commitment to professional development flexible and collaborative culture global opportunities vibrant community total rewards (benefits vary by employment type and location) seniority level mid‑senior level employment type full-time job function product management and marketing industries it services and it consulting #j-18808-ljbffr