Lead AI & Data Platform Engineer - Marketplace (Remote)

Braintrust

  • Remote
  • Remote, Onsite
  • Posted Aug 13, 2026
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Production ReliabilityBackend ServicesAPIsContainersClickhouseSQLPythonData PipelinesCI/CDEvent TrackingLLM IntegrationCloud Infrastructure

Job description

About the role

Lead AI & Data Platform Engineer responsible for owning the site’s AI, data platform and growth‑automation infrastructure, designing, building, deploying and improving production systems across data engineering, event tracking, LLM integrations, recommendation, marketing data activation and lifecycle automation to turn raw marketplace activity into actionable intelligence.

About the company

Stealth‑Mode Marketplace Startup in the MENA region offering a live commerce and social marketplace that combines livestream shopping, real‑time auctions, product listings, seller tools, secure checkout and buyer protection, built on a data‑driven, AI‑powered platform for personalized shopping and intelligent seller growth.

Requirements

  • 7+ years professional experience in software engineering, data engineering, AI/ML engineering or data platform architecture
  • Strong Python programming experience
  • Strong SQL experience and ability to design clean, scalable data models
  • Hands‑on experience building production data pipelines and analytics infrastructure
  • Experience with OLAP databases such as ClickHouse, BigQuery, Snowflake, Redshift, Apache Druid or similar
  • Deep understanding of event tracking, telemetry architecture, user behavior data, identity resolution and data quality
  • Experience integrating LLMs, AI APIs or AI models into production systems
  • Experience building backend services, APIs, automation workflows and data‑driven systems
  • Strong knowledge of data activation, segmentation, lifecycle marketing, attribution and campaign measurement
  • Experience building behavior‑based triggers, personalized notifications or lifecycle automation
  • Ability to collaborate with marketing and growth teams to turn data into better targeting and ROI
  • Strong understanding of APIs, cloud infrastructure, containers, CI/CD, logging, monitoring and production reliability
  • Ability to work independently in a fast‑moving startup environment
  • Excellent communication skills and ability to explain technical trade‑offs to founders, product, engineering and marketing teams
  • Preferred: Experience with ClickHouse
  • Preferred: Experience in marketplace, e‑commerce, social commerce, livestreaming, auctions or high‑volume transactional platforms
  • Preferred: Experience with recommendation systems, personalization, search ranking, buyer/seller scoring or feed/notification ranking
  • Preferred: Experience with marketing data activation, CDPs, reverse ETL, server‑side tracking and paid media audience pipelines
  • Preferred: Experience sending warehouse‑based audiences to Meta, Google, TikTok, Snapchat, CRM, email, push, SMS or WhatsApp
  • Preferred: Experience with conversion APIs such as Meta CAPI, Google Enhanced Conversions, TikTok Events API, Snapchat CAPI or offline conversions
  • Preferred: Experience with attribution, cohort analysis, retention analysis, A/B testing, incrementality testing, ROAS, CAC, LTV and funnel analysis
  • Preferred: Experience building lifecycle marketing automation, behavioral triggers and personalized notification systems
  • Preferred: Experience with push notifications, email, SMS, WhatsApp and in‑app messaging workflows
  • Preferred: Experience with frequency capping, quiet hours, send‑time optimization, suppression logic, communication preferences and channel prioritization
  • Preferred: Experience with LiveKit, WebRTC, real‑time audio/video processing, speech‑to‑text, translation pipelines or livestream analytics
  • Preferred: Experience with RAG, vector databases, AI agents, prompt engineering, model evaluation and AI observability
  • Preferred: Experience with Arabic/English multilingual systems, RTL products or regional marketplace localization
  • Preferred: Experience with data privacy, access control, consent management and secure handling of user data