- AI Performance & Metrics: Design and maintain dashboards in PowerBI tools (Omni, a Looker-equivalent) to track the "health" of our AI agents, focusing on F1 scores, precision-recall tradeoffs, and intent recognition accuracy.
- Quality Control (The "Anti-Hallucination" Task): Deep dive into conversation logs to identify, categorize, and quantify hallucinations or instances where the AI lost context.
- Data Modeling for AI: Build and optimize SQL-based data models on our GCP (BigQuery, DBT, Firestore) infrastructure to evaluate model versions and prompt iterations.
- Collaborative Experimentation: Partner with the AI Engineering team to analyze A/B tests on different LLM prompts and configurations, balancing the tradeoff between response speed and accuracy.
- User-Obsessed Insights: Translate complex AI metrics into "human stories" for the rest of the team, explaining how technical tweaks improve the actual user experience on WhatsApp.
- Automation: Proactively identify ways to automate the evaluation of conversational data to help us scale faster.
- Experience: 2-3+ years of experience as a Data Analyst, ideally within AI, NLP, or Product-focused teams.
- Proven 1-2+ years of experience measuring Chatbot/LLM metrics. You should be comfortable discussing F1 scores, confusion matrices, and the tradeoffs between model creativity and factual accuracy.
- Technical Core: Strong SQL skills (you’ll live in BigQuery / DBT / Firestore) and experience with BI tools like Omni / Tableau / PowerBI / Looker or similar.
- The "Felix" Vibe: A startup mindset—you are proactive, you have a bias towards action, and you don’t wait for permission to fix something that’s broken.
- Communication: Ability to explain to a non-technical stakeholder why a 1% drop in F1 score matters for our users and impact on other KPI’s.
- Language: Advanced English and Spanish (crucial for analyzing our users' regional nuances).
- Python Mastery: Experience using Python for data manipulation (Pandas/NumPy) or basic NLP libraries.
- GCP Ecosystem: Familiarity with BigQuery, Vertex AI, or Cloud Storage.
- Start-up DNA: Previous experience in high-growth fintechs or AI-first companies.
- Curiosity: A genuine interest in how LLMs work and stay up-to-date with the latest in conversational AI.
- Partially or fully fluent in Portuguese
- Competitive salary
- Initial stock options grant
- Annual performance bonus
- Health, dental, and vision plans
- Remote work environment, although we have offices in Miami and México City and would love to work in hybrid model if you are up to it.
- Continuous learning opportunities
- Unlimited PTO
- Paid parental leave
- Empowering opportunities for growth in a dynamic entrepreneurial environment
Top Skills
What We Do
At Félix, we're building the financial ecosystem for Latin immigrants in the U.S., starting with a revolution in remittances. Our core product is an AI-powered chatbot built on WhatsApp, allowing our users to send money home as easily as sending a text message. We leverage cutting-edge technology like AI, blockchain, and stablecoins to make cross-border payments faster, more affordable, and more accessible than ever before. We are a hyper-growth Series B company, backed by over $100 million in funding from top-tier global investors, including QED, Castle Island, Switch Ventures, HTwenty, Monashees, and General Catalyst Customer Value Fund. This isn't just about the numbers; it's a testament to the trust our investors have in our vision and our team. Additionally, the Félix founders were selected as “Endeavour Entrepreneurs” and were recipients of the CrossTech Fintech Startups Award. We are a group of extremely talented and dedicated high-performers, united by our shared obsession with a single goal: empowering our customers.







