1 month ago
Colombia (city not specified)Senior
Responsibilities
- Map the marketing data platform, its sources, jobs, tables, and integrations, and produce documentation and a prioritized roadmap.
- Add tests, monitoring, and alerts to critical marketing pipelines while improving on-time data delivery and reducing incidents.
- Build and operate at least two AI agents or agentic workflows for recurring marketing data tasks, with runbooks, active users, and measurable improvements.
- Reduce the cost or runtime of major marketing pipelines by removing unused or duplicated tables and jobs.
- Maintain a governed catalog of marketing tables, events, and attributes with owners and approval rules.
- Build and debug complex SQL, reusable tables, datamarts, ELT pipelines, Python scripts, and API integrations.
- Validate AI-generated work, identify failure modes, add safeguards, and determine when human review is required.
- Translate Marketing, Growth, and Marketplace needs into pipelines, agents, or self-service tools and manage the backlog independently.
Requirements
- Proven experience writing and debugging complex SQL, including joins at scale, window functions, CTEs, incremental logic, and reusable datamarts.
- Experience building and operating ELT pipelines on a modern data platform using dbt, Airflow or similar tools, Git, code reviews, tests, monitoring, and alerts.
- Hands-on Python experience for automation and API integrations that other people can operate.
- Daily practical experience using coding agents such as Claude Code, Codex, Cursor, or similar tools.
- Experience building agentic workflows that chain LLM calls with tools such as SQL, APIs, or MCP servers and are used by others.
- Ability to validate AI output, identify plausible but incorrect results, implement checks, and apply human review for customer data.
- Strong technical documentation skills covering READMEs, agent instructions, runbooks, and data catalog entries.
- Ability to translate ambiguous business needs into durable data products and communicate clearly with technical and non-technical stakeholders; English is required.
- Desirable qualifications include experience with Braze or similar CRM tools, AppsFlyer or similar attribution tools, GTM, reverse ETL, CDPs, advanced pipeline tools, Spark performance tuning, data-platform certification, LLM APIs, LiteLLM, MCP servers, A/B testing, basic statistics, data privacy rules, AWS, or fintech and regulated industries.
Benefits
- Work on financial products intended to improve access to shopping, payments, banking, and credit in Colombia.
- Opportunity to shape technology, strategy, culture, and values at a rapidly scaling fintech.
- Work with an international, high-caliber team in a high-impact environment.
- Competitive compensation, equity, and benefits beyond the basics.
- The hiring process includes interviews, a take-home challenge expected to take five hours or less within a one-week window, stakeholder discussions, and a co-founder interview.
Tech Stack
Categories
AI ApplicationsData Engineering
About Addi
Addi builds checkout financing and digital payment tools for consumers and merchants in Latin America, focused on Colombia. Its platform offers buy now, pay later installments and other cardless payment options integrated at online and in-store checkout, generating revenue from consumer credit and merchant transaction fees. Founded in 2018 and headquartered in Bogotá, it reports serving over 2 million customers and partnering with more than 20,000 merchants.