---
title: 'AI Analytics Engineer at Addi'
canonical: 'https://feeny.ai/job/ai-analytics-engineer-addi-colombia-88wzw60nvjyf'
type: 'job'
last_seen: '2026-09-13'
---

# AI Analytics Engineer at Addi

- **Company:** Addi
- **Location:** Colombia
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-06
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/addi/adf26c92-bacb-4c05-aa65-cd62aeb520af

## Job description

## 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, grow together and where we create abundance and generate pride in them. Today, we serve over 2 million customers and partner with more than 20,000 merchants, making Addi Colombia’s fastest-growing marketplace.

We provide banking solutions (deposits, payments, unsecured credit) and commerce services (e-commerce, marketing) using state-of-the-art technology, 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](https://co.addi.com/trabaja-con-nosotros#:~:text=%E2%80%A2%20We%20are%20owners,dentro%20del%20equipo.) 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 the end-to-end delivery of AI agents for the embedded function from problem identification through production adoption ensuring each shipped agent delivers measurable business impact and raises the team's execution standard for what AI can do.

## What you will do

- Ship AI Agents to Production: Identify high-friction workflows within the embedded team and iterate through testing to reach a stable deployment with active adopters and documented, quantified impact like time saved, cost reduced, or revenue generated.
- Build a Self-Serve Operations Model: Create end-to-end documentation for each shipped agent covering inputs, outputs, failure modes, and resolution steps shortly after launch, enabling any teammate to run or maintain it independently.
- Produce a Prioritized Opportunity Backlog: Conduct structured discovery sessions with key stakeholders in the embedded team to score problems by friction level, feasibility, and estimated impact, delivered as a living document reviewed regularly with the Champion.
- Continuous Improvement: Continuously monitor the performance of shipped agents, identify opportunities for enhancement based on real-world usage and observed failure modes, implement documented improvements shortly after launch, and validate measurable gains in reliability, adoption, or output quality.

## What we’re looking for

- Proven experience in SQL and data modeling — accelerated with AI
- Experience designing data models that AI agents can understand, maintain, and extend.
- Strong SQL skills for querying and transforming large datasets, using AI to accelerate development, validate logic, and document transformations.
- Experience applying AI-assisted testing and data quality validation as part of the standard development workflow.
- Demonstrated experience with Python for building AI-powered data workflows
- Experience building Python applications and automations that connect AI agents with data systems.
- Track record of delivering Python-based pipelines or AI agents that can run reliably in production.
- Track record of building data pipelines spec-first, with AI as the primary execution layer
- Experience defining clear specifications for inputs, outputs, transformations, and quality checks before implementation.
- Comfortable using tools such as Claude Code, LiteLLM, or similar AI development tools as part of the daily engineering workflow.
- Ability to demonstrate how AI has significantly accelerated the delivery of production-ready data pipelines.
- Experienced with ELT/ETL tools and AI orchestration
- Hands-on experience with dbt, Airflow, or equivalent orchestration frameworks.
- Experience integrating AI capabilities into production pipelines, such as intelligent transformations, anomaly detection, or workflow automation.
- Ability to own data pipelines end to end, including the AI orchestration layer.
- Proven experience with data warehouses and AI-native querying
- Strong experience working with BigQuery, Snowflake, Redshift, or Databricks at production scale.
- Experience using AI to optimize queries, improve documentation, and automate monitoring.
- Demonstrated ability to translate business problems into AI-powered data solutions
- Ability to identify the right solution for a business problem, whether that is a pipeline, an AI agent, a model, or a combination of them.
- Experience building systems that automate recurring analytical work instead of relying on manual reporting.
- Track record of documentation and stewardship designed for AI replication
- Experience producing documentation that enables both engineers and AI agents to maintain and extend data systems.
- Experience shipping data products with AI-assisted monitoring and operational visibility built in.
- Demonstrated ability to ship fast and iterate in ambiguous environments
- Proven ability to deliver production-ready data solutions quickly using AI-first engineering practices.
- Comfortable working autonomously, prioritizing effectively, and delivering high-quality solutions with minimal oversight.

Why join us?

- Work on a problem that truly matters – We are redefining how people shop, pay, and bank in Colombia, breaking down financial barriers and empowering millions. Your work will directly impact customers' lives by creating more accessible, seamless, and fair financial services.
- Be part of something big from the ground up – This is your chance to help shape a company, influencing everything from our technology and strategy to our culture and values. You won’t just be an employee—you’ll be an owner
- Unparalleled growth opportunity – The market we’re tackling is massive, and we’re growing faster than almost any fintech lender at our stage. If you’re looking for a high-impact role in a company that’s scaling fast, this is it.
- Join a world-class team – Work alongside top-tier talent from around the world, in an environment where excellence, ownership, and collaboration are at the core of everything we do. We care deeply about what we build and how we build it—and we want you to be a part of it.
- Competitive compensation & meaningful ownership – We believe in rewarding our talent. You’ll receive a generous salary, equity in the company, and benefits that go beyond the basics to support your growth.

How the hiring process looks like We believe in a fast, transparent, and engaging hiring experience that allows both you and us to determine if there's a great fit. Here’s what our process looks like:

- Step 1: People Interview (30 min) A conversation with a recruiter to get to know you, your experience, and what you're looking for. We’ll also share more about Addi, our culture, and the role.
- Step 2: AI System Design Interview (60 min) A dedicated deep dive into your AI systems thinking, where we explore how you approach workflow design, tool selection, and failure handling. We want to see how you design solutions that are not only effective, but also simple for others to run and maintain.
- Step 3: Take-Home AI Exercise A hands-on exercise focused on building a simple, working AI prototype for a sample workflow. This gives us a clear look at your prototyping skills, code quality, and how effectively you translate business needs into practical AI tools.
- Step 4: On-site Interview (60 min) A deep dive into your Take-Home AI Exercise to review your approach and talk through your implementation. This is designed to give us a clear picture of how you operate day-to-day and how you collaborate with the team.
- Step 5: Stakeholder Interview (30 min) A strategic discussion focused on your overall fit and ownership mindset. We want to hear your candid perspective on real AI capabilities versus industry hype, how you navigate failed adoption, and how you approach your own professional growth.
- Step 6: Co-Founder Interview (30 min) In this final stage, you’ll meet a member of our leadership team to talk about Addi’s values, culture, and mission. It’s an opportunity to ensure that our goals and vision align, and that this role feels like the right next step for you.

We value efficiency and respect for your time, so we aim to complete the process as quickly as possible. Our goal is to make this experience insightful and exciting for you, just as much as it is for us. Regardless of the outcome, we are committed to always providing feedback, ensuring that you walk away with valuable insights from your experience with us.

## About Addi

## Company Overview
- **One-liner**: Addi provides a buy now, pay later (BNPL) platform that enables consumers in Latin America to finance purchases at partner stores through flexible installment loans.
- **Entity Type**: Private (Series C)
- **Headquarters**: Bogotá, Colombia
- **Founded**: 2018
- **Founders**: Santiago Suárez and Daniel Vallejo

## Core Business
- **Primary industries**: Fintech – Consumer Finance, Buy Now, Pay Later (BNPL), Point-of-Sale Financing
- **Target customers**: B2C (consumers purchasing from partner merchants) and B2B (merchant partners seeking to increase conversion and average order value); primarily focused on Latin America
- **Mission or purpose statement**: “We are building the best digital purchase experience in Latin America through technology” (from careers page)

## Products & Services
- **BNPL Platform**: A digital financing solution that allows consumers to split purchases into interest-bearing or zero-interest installments at checkout. Merchants integrate Addi’s API or SDK to offer instant credit decisions. Type: SaaS + embedded finance

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (latest valuation not revealed, Tracxn lists valuation as undisclosed)
- **Key Metric**: Total funding of **$238M** across 14 rounds (as of April 2026). Latest round: Conventional Debt of **$150M** led by J.P. Morgan on April 20, 2026. Additionally, a $70M credit line from Goldman Sachs and Fasanara Capital in April 2025.
- **Notable Investors/Partners**: Andreessen Horowitz, Union Square Ventures, GIC, J.P. Morgan, Goldman Sachs, Fasanara Capital, Victory Park Capital Advisors
- **Growth Signals**: Headcount grew to **900 employees** as of May 2026 (up from earlier years). Secured two significant credit lines in 2025–2026, indicating strong lender confidence and scaling capacity.

## Competitive Advantages
- **LatAm‑focused BNPL**: Deep local knowledge and regulatory compliance in multiple Latin American markets (Colombia, Brazil, Mexico, etc.).
- **Flexible installment plans**: Offers multiple interest rate options and repayment terms, adapting to local credit behaviors.
- **Strong investor backing**: Backed by top-tier global VCs and debt providers, providing ample capital for growth.
- **End‑to‑end technology**: Proprietary underwriting engine and seamless merchant integration via API/SDK.

## Strategic Focus
- **Expand credit lines and merchant partnerships**: Recent debt rounds from J.P. Morgan and Goldman Sachs signal scaling of lending capacity.
- **Geographic expansion**: Deepening presence in existing markets and entering new Latin American countries.
- **Product innovation**: Improving user experience and credit models to reduce default rates and increase approval rates.
- **Talent acquisition**: Actively hiring for engineering, product, finance, and partnerships roles to support growth.

## Why Work Here
- **Culture**: Be part of a mission‑driven team building digital commerce infrastructure in Latin America; values include “We get the impossible done,” “We start from and with the customer,” and “We are owners.”
- **Remote/Hybrid policy**: Fully remote‑first with optional office space in Bogotá (“works from anywhere” policy). On‑site roles exist for some positions, but the default is remote.
- **Benefits**: 100% company‑paid health insurance (medical, dental, vision) for employee and 50% for family; stock ownership (equity grants); flexible hours; English classes; learning budget.
- **Work environment**: Flat hierarchy, continuous feedback culture, and a focus on craft and integrity.

## Sources
1. [Tracxn – Addi Company Profile](https://tracxn.com/d/companies/addi/__nqhol1mcfOgMBPgfbQLR-cCUSyos0yPvtEFeIDWBBDg)
2. [Built In – Addi Careers & Culture](https://builtin.com/company/addi)
3. [Addi Careers on Ashby](https://jobs.ashbyhq.com/addi)
4. [Addi Colombia – Trabaja con nosotros](https://co.addi.com/sobre-addi/trabaja-con-nosotros)
5. [Addi AI Careers (note: separate company, not used for fintech Addi)](https://addi.ai/careers/)
6. [LatamList – Addi secures $70M credit line from Goldman Sachs](https://latamlist.com/addi-secures-70m-credit-line-from-goldman-sachs-and-fasanara-capital/)
7. [Valora Analitik – Addi secures US$150m new credit line led by J.P. Morgan](https://www.valoraanalitik.com/addi-secures-us150-million-in-new-credit-line-led-by-j-p-morgan/)

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