Lead AI & Data Platform Engineer — Remote

Braintrust; United States; Remote; MXN 2,556,000 - 3,579,000; Full time

Job summary

Stealth-Mode Marketplace Startup in a fully remote, multinational setup seeks a Lead AI & Data Platform Engineer to own the site’s AI, data platform, and growth automation infrastructure. You will work across data engineering, event tracking, AI automation, LLM integrations, recommendation systems, and marketing data activation.

You will design, build and deploy production systems, transform raw activity into actionable intelligence, and balance internal builds with open-source tools and

Qualifications

• 7+ years of professional experience in software/data/AI engineering, or data platform architecture.
• Strong Python experience.
• Strong SQL and scalable data modeling skills.
• Hands-on experience building production data pipelines and analytics infrastructure.
• Experience with OLAP databases such as ClickHouse, BigQuery, Snowflake, Redshift or similar.
• Experience integrating LLMs and AI APIs into production systems.

Responsibilities

• Own AI and data platform roadmap in partnership with product, engineering, marketing, and leadership.
• Design, build, deploy, and measure production AI data systems across data engineering, event tracking, AI automation, and lifecycle automation.
• Turn raw marketplace activity into clean, structured intelligence for product decisions, buyer personalization, and marketing automation.
• Build data pipelines, data models, and dashboards; ensure data quality and single source of truth.

Skills

Python

SQL

Data pipelines

OLAP databases

LLMs integration

Production systems

Event tracking

Data platform roadmap

Tools

ClickHouse

BigQuery

Snowflake

Redshift

Job description

Stealth-Mode Marketplace Startup in a fully remote, multinational setup seeks a Lead AI & Data Platform Engineer to own the site’s AI, data platform, and growth automation infrastructure. You will work across data engineering, event tracking, AI automation, LLM integrations, recommendation systems, and marketing data activation.

You will design, build and deploy production systems, transform raw activity into actionable intelligence, and balance internal builds with open-source tools and