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Addi is a leading fintech platform in Latin America, serving over 3.6 million customers and 55,000+ merchants. The company offers banking solutions (deposits, payments, unsecured credit) and commerce services, and recently achieved regulatory approval to operate as a bank. Backed by top-tier investors including Andreessen Horowitz, Union Square Ventures, and Goldman Sachs, Addi is transforming Colombia's financial ecosystem.
You will lead the product strategy and execution for Addri, Addi's AI-powered conversational assistant. Your mission is to scale Addri from a support-focused prototype into the primary, unified in-app interface through which millions of customers shop, manage credit, make payments, and resolve issues. This role leverages Addi's closed-loop data advantage—first-party identity, credit lines, order history, and payment schedules—to convert complex app flows into natural, grounded, and trust-building conversational interactions.
Key responsibilities include:
- Launching Addri in-app and establishing continuous review cadences to drive AI resolution rates, CSAT, and reduce support ticket load
- Building conversational shopping flows for product discovery and purchase assistance to increase task completion and conversion
- Deploying conversational banking and credit flows with high response accuracy and strict escalation guardrails
- Establishing robust evaluation frameworks (test sets, LLM-as-judge, human review) and pre-launch quality gates
- Partnering with Risk, Data, and Legal teams to define grounding data sources, action confirmation mechanics, and compliance protocols
- Delivering a comprehensive business case quantifying cost savings and conversion impact to guide future investment
You will work alongside world-class talent in an environment where ownership, excellence, and collaboration are core values. The role offers competitive compensation, meaningful equity, and the opportunity to directly impact millions of customers' financial lives.
REQUIREMENTS:
- Proven track record of shipping customer-facing LLM products (assistants, agents) beyond demos, with mastery of end-to-end conversational flows and failure handling
- Demonstrated ability to scale early-stage products, navigate ambiguity, and drive iterative improvements post-launch
- Deep experience establishing AI evaluation frameworks (test sets, LLM-as-judge, human review) and defining strict quality thresholds per use case
- Technical fluency in RAG, embeddings, prompting, and tool-use to collaborate effectively with ML engineers on product decisions
- Experience deploying AI in high-stakes environments with human handoffs, privacy protections, and safety limits for critical actions
- Native fluency in Colombian Spanish to judge tone and local nuances, paired with fluent professional English (bilingual requirement)
- Active, hands-on usage of modern AI tools with deep understanding of model capabilities, limitations, and industry developments
