Job VC

Full-time · Remote · Start: ASAP (3–4 weeks)
About the role
We're building a social commerce platform for the Middle East — live shopping, real-time auctions, and community-driven discovery in one place. Think TikTok Shop meets eBay Live, built for a market that moves fast.
We need a hands-on engineer to own our entire data and automation engine: from raw behavioral events to personalized recommendations, automated lifecycle messaging, and production AI. This is not a research role. You will ship things that directly drive revenue and retention.
What you'll own
Data platform & warehouse
Design and maintain our central OLAP warehouse (ClickHouse or equivalent). Build reliable ingestion pipelines. Be the person who ensures clean, trusted data across the organization.
Behavioral event tracking
Instrument mobile and web apps to capture the full user journey — watch time, bid activity, follows, purchases. Own identity resolution across sessions and devices.
Growth data activation
Build reverse ETL pipelines from the warehouse into ad platforms and marketing tools: Meta CAPI, Google Ads, Braze, Customer.io, WhatsApp API. Automate audience sync and campaign triggers.
Lifecycle automation & personalization
Design behavior-based trigger logic (cart abandonment, livestream reminders, re-engagement flows). Build ranking and recommendation models for products and live shows.
Production AI integration
Deploy LLM-powered workflows for seller onboarding, content moderation, and customer support automation. Own cost controls, evaluation pipelines, and reliability of these systems in production.
Requirements
7+ years in data engineering, software engineering, or data architecture
Production-grade Python and SQL — you write code that runs in prod, not notebooks
Proven experience building OLAP warehouses: ClickHouse, BigQuery, Snowflake, or Redshift
Experience with event tracking and identity resolution: Segment, RudderStack, PostHog, or similar
Experience connecting warehouses to marketing/CRM tools via Reverse ETL: Hightouch, Census, or direct integrations
Shipped LLMs or RAG systems in production — demos and side projects don't count
Strong communication: you can explain data trade-offs to non-technical stakeholders clearly
Nice to have
Background in e-commerce, marketplaces, or consumer apps
Experience with recommendation systems, personalization algorithms, or vector databases
Familiarity with real-time streaming metadata (LiveKit, WebRTC)
Stack you'll work with
ClickHouse · Python · dbt · Segment / RudderStack · Meta CAPI · Braze · Customer.io · Hightouch · OpenAI / Anthropic APIs · vector databases
Why this role
You'll be the first dedicated data/AI engineer — high ownership, high impact
Fast-growing market with real behavioral data from day one
Direct line to product and business decisions
Competitive compensation, remote-friendly