Lead AI & Data Platform Engineer - Marketplace (Remote

• Personalization, Ranking & Recommendation Systems
• Strong Python experience.

This is a fully remote role, open to candidates in North America, LATAM, Europe, Asia and the Middle East.

Stealth-Mode Marketplace Startup | MENA Region

We're a live commerce and social marketplace built for the Middle East. We combine livestream shopping, social engagement, real-time auctions, direct product listings, seller tools, secure checkout, and buyer protection into one marketplace experience.

We are building a highly automated, data-driven, and AI-powered platform where buyers receive personalized shopping experiences, sellers receive intelligent growth tools, and internal teams operate more efficiently through automation.

Our next major phase is to build the AI and data foundation that powers personalization, buyer and seller segmentation, lifecycle automation, marketing automation, lookalike campaigns, recommendations, seller intelligence, and operational automation.

We are looking for a highly hands‑on Lead AI & Data Platform Engineer to own our site’s AI, data platform, and growth automation infrastructure.

This is not a pure research role. We need someone who can design, build, deploy, measure, and improve production systems. You will work across data engineering, event tracking, AI automation, LLM integrations, recommendation systems, marketing data activation, lifecycle automation, and internal AI tools.

You will be responsible for turning raw marketplace activity into clean, structured, actionable intelligence that powers product decisions, buyer personalization, seller growth, automated marketing campaigns, lookalike audiences, CRM automation, notifications, and executive reporting.

You should be comfortable moving between architecture and implementation, choosing when to build internally, when to use open‑source tools, and when third‑party APIs make more business sense.

• Data Platform & Central Warehouse
• Architect, build, and manage our site’s central data warehouse using Click House or similar high‑performance OLAP databases.
• Design scalable data models for buyers, sellers, live streams, auctions, products, orders, payments, shipping, marketing attribution, notifications, and platform engagement.
• Build reliable pipelines that transform raw events into clean datasets, dashboards, segments, alerts, and automated workflows.
• Ensure the data warehouse becomes the single source of truth for product, growth, marketing, finance, seller success, and management reporting.
• Define data quality rules, validation checks, monitoring, and alerting for broken or missing event flows.
• Build clear data documentation so product, engineering, marketing, and leadership teams can understand and trust the data.
• Event Tracking, Telemetry & Behavioral Data
• Design and implement robust event tracking across web, iOS, Android, live streams, auctions, checkout, seller tools, search, chat, notifications, and product interactions.
• Define event schemas, naming conventions, user identity resolution, session tracking, and cross‑device behavior mapping.
• Build buyer and seller behavioral datasets from activity such as watch time, bids, purchases, follows, bookmarks, saved shows, viewed products, chat activity, category interest, seller interaction, and retention behavior.
• Work with engineering teams to ensure tracking is accurate, scalable, and privacy‑aware.
• Build the foundation for advanced analytics, recommendation systems, personalization, lifecycle triggers, and growth automation.
• Growth Data Activation & Paid Marketing Automation
• Build the data infrastructure needed to activate high‑quality buyer and seller segments across advertising, CRM, lifecycle marketing, and notification channels.
• Design automated audience pipelines from the central data warehouse into platforms such as Meta, Google, Tik Tok, Snapchat, email, push notification, SMS, Whats App, and CRM tools.
• Create buyer and seller segmentation models based on GMV, engagement, category interest, livestream activity, bidding behavior, purchase frequency, retention, seller quality, and trust signals.
• Build lookalike audience workflows using high‑value…