About Addi We are a leading financial platform, building the future of payments, shopping, and banking—a world where consumers and merchants can transact effortlessly and grow together. Today, we serve over 3.6 million customers and partner with more than 55,000 merchants, making Addi Colombia’s fastest-growing marketplace. With a state-of-the-art, technology-first approach, we provide banking solutions (deposits, payments, unsecured credit) and commerce services (e-commerce, marketing), bridging the financial gap for millions and redefining how people experience financial freedom. As the country’s leading Buy Now, Pay Later provider, we have secured regulatory approval to operate as a bank, unlocking even greater opportunities for our customers. In the past year, we have also achieved profitability, reinforcing the strength of our business model and our ability to scale sustainably. Our mission has earned the trust of world-class investors, including Andreessen Horowitz, Architect Capital, GIC, Goldman Sachs, Greycroft, Monashees, Notable Capital, Quona Capital, Union Square Ventures, Victory Park Capital, and more, who back our vision for the future. With their support, we are not just growing—we are transforming Latin America’s financial ecosystem and shaping the next generation to shop, pay, and bank in Colombia. But what truly sets us apart is how we build. We are a conscious company, driven by deep experience in scaling technology, services and products, and we live by our values every day. About the Role This is where you come in. Below, you’ll find what this role is all about—the impact you’ll drive, the challenges you’ll tackle, and what it takes to thrive at Addi. If you’re ready to be part of something big, keep reading. What’s the mission you’ll drive Own Addi’s marketing data platform, the pipelines and integrations that connect our data to Braze, AppsFlyer, GTM, Marketplace and the App, using AI agents as the default way of working, to make marketing data reliable, efficient and self-service, ensuring Marketing, Growth and Marketplace teams can launch campaigns and measure acquisition with data they trust.. What you will do • Understand and document our marketing data platform Get to know how marketing data flows through the company: where it comes from, how it’s processed, and how it reaches the tools our marketing teams use every day, like Braze, AppsFlyer, and Google Tag Manager. You’ll document it clearly so that both people and AI agents can use it, and propose a prioritized roadmap of improvements. • Make our data pipelines reliable Add testing and monitoring to our most important data pipelines so data arrives on time, issues are caught early, and problems are resolved quickly. • Automate with AI agents Design and launch AI agents and automated workflows that take over repetitive data requests, such as building audience segments, checking data quality, and keeping documentation up to date. You’ll make sure they’re adopted by the team and easy for others to operate. • Make the platform efficient Improve the cost and performance of our marketing pipelines by removing unused or duplicated tables and jobs. • Keep our data organized and trusted Maintain a single catalog of marketing data, with clear owners and approval rules, so everything we send to marketing tools comes from official, trusted sources. What we’re looking for • Proven experience writing and debugging complex SQL without AI • Writes and reads joins at scale, window functions, CTEs and incremental logic with confidence • Can tell when a query result is wrong and explain why • Builds clean, reusable tables and datamarts that are easy to extend, test and document • Track record of building and operating ELT pipelines on a modern data platform • Hands-on with dbt, Airflow or similar, plus Git and code reviews • Has used SQL warehouses, notebooks and scheduled jobs, and understands catalog, schema, table and permissions (advanced Spark tuning not required) • Uses tests, monitoring and alerts by default; comfortable with on-call and fixing issues at the root • Demonstrates ability to automate and integrate with Python • Builds scripts and API integrations that others can run without the author • Experienced in using coding agents daily for real data work • Uses Claude Code, Codex, Cursor or similar, not just autocomplete • Writes a spec before building (inputs, outputs, transformations, checks), delegates multi-step tasks to the agent and reviews the result • Can show a before and after • Has solid expertise in building agents and agentic workflows that others use • Has built at least one agent or workflow that chains LLM calls with tools (SQL, APIs, MCP servers) and that other people actually use • Understands failure modes, guardrails, and how to test an agent with real inputs • Demonstrated background in validating AI output • Has caught AI work that looked right but was wrong (e.g., a plausible SQL query with a bad join) and added a check so it doesn’t happen again • Knows when human review is required, especially for customer data sent to marketing tools • Track record of writing documentation that people and agents can run on • Writes context and runbooks (READMEs, agent instructions, data catalog entries) that let a teammate or an AI agent maintain the system without the author • Proven ability to translate business needs and own outcomes in ambiguity • Understands what Marketing, Growth and Marketplace need and decides whether the answer is a table, a pipeline, an agent or a self-service tool, instead of a one-off report • Manages their own backlog and ships without close direction • Communicates clearly with technical and non-technical people; English is a must • Desirable Qualifications • Experience with marketing tools: CRM (Braze or similar), app attribution (AppsFlyer or similar), and tag management (GTM). • Reverse ETL or CDP experience. • Deeper data platform experience: advanced pipeline tools, S