AI PM

Description

Job Summary: We are seeking an AI Product Manager to lead the discovery, design, and evolution of AI-native financial solutions, reporting to the Head of Product FinOps. Key Highlights: 1. Lead AI-native financial solutions 2. Strategic work on critical FinOps products 3. Innovative AI-powered environment to accelerate the PDLC **Who We Are** At Kashio, we are redefining the financial ecosystem of LATAM. We are evolving from a solid Payment Service Provider (PSP) into the region’s leading AI-Driven FinOps Platform—integrating payments, treasury, risk, and automation into a single infrastructure. Currently, we work with over 500 companies and are actively expanding regionally across 10 markets under a Hub-and-Spoke model. The Product FinOps team (led by Rosa María Orellana) drives the design, development, and evolution of our intelligent financial solutions. Our non-negotiable objective is to achieve Zero-Touch Efficiency (50%), decoupling revenue growth from headcount growth through Artificial Intelligence and automation. **Who We’re Looking For** We seek an AI Product Manager for the Product FinOps team, responsible for leading the discovery, design, and evolution of AI-native financial solutions. In this role, AI is your engine—and you are the strategic pilot defining where the product goes and why. You will lead critical products such as Smart Collections, Predictive Reconciliation 2.0, Core Financial, and Bill Payments—enabling greater operational efficiency, financial control, and revenue recovery. You will report directly to the Head of Product FinOps and orchestrate the PDLC AI 1.1 alongside our “Lean AI Squad” (Senior Developers, QA-as-code engineers, Solution Architects), transforming complex requirements into automated deliverables managed in our KashioOS platform. **Role Mission** Be the strategist bridging Kashio’s Vision 2030 with technical execution—building FinOps products that eliminate operational friction and maximize revenue recovery. You will orchestrate AI tools to accelerate the PDLC, ensuring every initiative is mathematically tied to a corporate Key Result (KR) via the “Golden Thread.” **What You’ll Do** **Lead the AI FinOps Strategy: Define the roadmap for products such as Intelligent Reconciliation, Smart Collections, Bill Payments, and Billing—ensuring transition from reactive processes (T+1) to Real-Time operations with 0% human error.** **AI-Powered Product Discovery: Use NotebookLM for research, investigation, and product definition; Claude and Google Studio for solution design alongside Architecture and Technology teams; Copilot for processing regulatory frameworks. All aimed at generating structured drafts (PRD, BRM) and eliminating weeks of manual effort in requirement definition.** **Governance & Structural Analysis: Ensure every proposed product meets Kashio’s international standards (BIAN for domains, TOGAF for architecture, TM Forum for capabilities) before entering the design phase.** **Agentic Execution (PDLC AI 1.1): Work in an environment where AI agents (Cursor, Gemini 1.5 Pro, n8n) perform coding and validation under your strategic direction and the Squad Architect’s supervision.** **OKR Management in KashioOS: Translate strategy into disciplined execution. Measure success via impact-oriented KRs (+5% Auth Rate, 80% transactional volume migration), enforcing the golden rule: “If it doesn’t move the needle, it won’t be built.”** **Design rapid experiments (AI spikes) to validate product hypotheses before committing development resources, and oversee quality of agent-generated deliverables via QA-as-code.** **Expected Impact** **Zero-Touch 50%: Deploy solutions that absorb operational noise, leaving humans to focus solely on high-value strategic decisions.** **+5% Auth Rate: Increase authorization rates using intelligent retry logic and predictive scoring models.** **Time-to-Market -60%: Reduce cycle time from idea to Spec-First using AI ecosystems and automated validations (QA-as-code).** **80% Volume Migration: Migrate 80% of transactional volume to Real-Time processes with active predictive reconciliation.** **Agents in Production: Have at least 3 autonomous agents (Aria) live in back-office financial workflows by year-end.** **Position Requirements** **+5 years as a Product Manager or AI Product Manager in Fintech, Payments, or B2B SaaS platforms.** **AI-Ready Mindset: Practical experience using generative models (LLMs) and agent frameworks such as n8n, NotebookLM, Cursor, Google Studio, and Claude to streamline daily work.** **Strong understanding of financial API integration, microservice architectures, and agile methodologies.** **Ability to abstract and co-design products with sponsor areas (Commercial, Finance, etc.) to define optimal solutions—and execute with short delivery cycles and on-time product releases.** **Proven ability to govern the full product lifecycle, aligning strategy (OKRs) with tactical execution.** **Strong communication skills to align business, technology, and data stakeholders.** **Knowledge of enterprise architecture frameworks (desirable: BIAN, TOGAF, ITIL).** **What Would Make You Stand Out** **Experience leading implementation of AI copilots or autonomous agents in back-office or financial products.** **Experience resolving technical bottlenecks in core financial systems and deep expertise in multi-currency bank reconciliations or collections.** **Track record scaling fintech products across multiple LATAM markets with country-specific compliance logic.** **Proficiency with data analysis tools (advanced SQL, dbt, Metabase, or Looker) for evidence-based decision-making.** **Strong alignment with our “Kashioness” DNA: results orientation, simplicity, and active curiosity to unlearn and challenge the status quo.** **What We Offer** **Purpose-Driven Mission** Directly shape the transformation of a PSP into a regional Fintech innovation leader by 2030. Your work will move millions of transactions and change how LATAM businesses manage their money. **Kashio ESOP** Direct participation in the company’s financial success through stock options, with a liquidity event target. You don’t just work at Kashio—you build Kashio with us. **Protected AI Hours** Structured time within working hours to experiment, learn, and scale your skills with the latest AI tools—because the best investment is in your capacity to drive impact. **Top-Tier Team & Culture** A fully remote, dynamic, and diverse environment staffed with world-class talent committed to excellence and innovation. Here, the status quo is questioned—not defended. **Position Details** **Department:** Product (FinOps Division) **Work Mode:** 100% Remote **Working Hours:** Monday–Friday, 9:00 a.m. – 6:00 p.m. **Contract Type:** Initial 3-month probationary contract, extendable based on performance. Employment Type: Full-time Salary: S/.2,000.00 – S/.3,000.00 per month Application Questions: * Tell me about the most complex product you’ve led in fintech or B2B SaaS. What was the problem, what did you decide to build, why, and what was the impact? * How do you decide what to build when multiple initiatives compete for limited resources? * At Kashio, we follow a golden rule: “If it doesn’t move the needle, it won’t be built.” How do you apply this in practice? * How would you translate a vision like “Zero-Touch 50%” into concrete product decisions over the next two quarters? * What’s the difference between building a “useful” product versus one that truly transforms a business’s operational economics? * Tell me about a case where you used generative AI or agents to accelerate product discovery, design, analysis, or delivery. What actually changed? * How do you integrate tools like NotebookLM, Claude, Cursor, Gemini, or Copilot into the product lifecycle without losing rigor? * Which parts of the PDLC do you believe should be accelerated by AI—and which must remain strongly governed by human judgment? * How would you validate whether an AI initiative truly delivers value—or merely adds complexity and cost? * If asked to design an AI agent for financial back-office operations, what criteria would you use to determine whether it should be a copilot, an automated workflow, or an autonomous agent? * What makes building products in collections, reconciliation, or payments genuinely harder than in other domains? * Tell me about an experience resolving a bottleneck in a financial or payments process. What was the blocker, and how did you address it from a product perspective? * How would you design a predictive reconciliation product to migrate an operation from T+1 to real-time? * In a Smart Collections solution, what variables or signals would you consider to prioritize actions and maximize recovery? * What operational or reputational risks would you never underestimate when launching products in payments or treasury? Work Location: Remote