Senior AI CRM & Content Lead (w, m, d) – Zürich – Zürich

• AI-Driven CRM Strategy & Funnel Ownership
• Own the full lead-to-close lifecycle (lead → MQL → SQL → transaction), instrumented end-to-end with AI signals
• Define properti's CRM strategy with AI as the core leverage: predictive lead scoring, intent modeling, propensity-to-transact
• Build dynamic segmentation using ML and embeddings — search behavior, listings viewed, geography, property type, budget, lifecycle stage
• Own and improve funnel KPIs (conversion rates, time-to-close, revenue per lead) and use models to forecast and lift each stage

Generative Content & Personalization Engine

• Build an LLM-powered content system that generates and personalizes every lifecycle touchpoint — email journeys, WhatsApp/SMS flows, listing promotion logic
• Design prompt frameworks, content templates, and guardrails so AI-generated copy is on-brand, multilingual (DE/FR/IT/EN), and conversion-optimized
• Deploy hyper-personalization at the level of the individual user — not segments of 10,000 — using behavioral, intent, and listing data
• Tie every AI-generated touchpoint to revenue impact, not vanity engagement

Automation, Agents & Infrastructure

• Own the CRM and marketing automation stack (HubSpot, Salesforce, Braze, or equivalent) and integrate it natively with properti's AI platform
• Design AI agents and trigger-based journeys that act on real-time signals — abandoned searches, viewing patterns, broker handoffs, re-engagement windows
• Build and iterate ML-based lead scoring in partnership with Data Science
• Work closely with Data & Tech to ensure clean data flows, vector stores, retrieval pipelines, and accurate attribution at scale

Experimentation & AI Performance

• Build a test-and-learn framework covering both classic A/B testing and AI-specific evaluation: prompt variants, model versions, multi-armed bandits
• Run continuous experiments across messaging, timing, channels, segmentation, and AI-generated content
• Track campaign performance, incremental revenue, and model quality (accuracy, hallucinations, conversion lift, latency)
• Translate insights into shipped improvements — fast

Cross-Functional Enablement

• Act as the bridge between Growth, Sales, Product, Data Science, and Engineering
• Ensure CRM and AI outputs directly improve lead quality, sales efficiency, and broker productivity (e.g., AI-generated lead briefings ahead of every call)
• Align CRM initiatives with market expansion priorities and the AI product roadmap.