AI Growth Engineer-AI Marketing Systems

LEC AI is building an AI-powered marketing operating system for its four brands, focusing on productizing AI solutions. The AI Growth Engineer will manage the development of content systems, growth engines, and an agent army to enhance marketing and revenue strategies.

Responsibilities:

• Content & persona systems
• Brand-brain content engine : RAG + knowledge-graph (pgvector, Neo4j) on a 4-layer memory stack, drafting on-brand content from real meeting transcripts across 4 brands, with per-brand compliance gates
• AI persona layer : per-employee personas grounded in voice-ID'd meeting data: in-voice drafting to avatar video to conversational agents; Mandarin dubbing/localisation (one video, five languages)
• Self-hosted digital-human pipeline : MuseTalk/LivePortrait/HeyGem-class OSS on RTX 4090-class GPUs; cloned TTS; RTMP streaming; sub-3s latency; AI livestream host for lead-gen and commerce
• Compliant variation engine : one story, platform-native cuts per persona/brand, all disclosed and watermarked
• Meeting→publish pipeline : WhisperX to diarization to clip to caption to multi-platform scheduling, fully automated
• Growth & revenue systems
• Signal-Triggered Growth Engine : Companies House, premises-licence, and venue-signal watchers firing persona-led outreach across our 16,681-venue LeadGen DB (Clay + n8n)
• Proprietary Data Index Engine : quarterly indices from our operational data (on-trade, robotics deployment, UK-China trade), built for journalist and AI-engine citation
• AI Fame Engine : newsjacking, journalist pitching, and SoS/Featured/Qwoted response automation on Donnie's insight memory
• WhatsApp Trade-Ordering Agent : venue reorders via WhatsApp Business Platform (Twilio/360dialog)
• AI phone agents : Vapi-class voice agents with UK data residency, consent-gated
• Creative-Testing Factory : brand-brain generates 50-100 ad variants, auto-launches on Meta Advantage+/TikTok Smart+, auto-kills losers, winners feed back
• Synthetic focus-group layer : pre-publish testing on AI personas built from first-party audience data
• Agent-ready commerce : MCP/ACP endpoints, structured feeds, llms.txt/ai-catalog, schema for agentic discovery and buying
• The agent army
• ~40 agents spanning content, distribution, fame, revenue, analytics, commerce, and ops (LangGraph/CrewAI, self-hosted n8n as glue), including a Launch-Orchestrator ("product goes out, everything fires"), attribution tracking, consent/rights tracking, and brand-compliance checks (ASA/CAP/Portman, EU AI Act labelling)