Role summary

Own the lifecycle communication system for sellers, dealers and affiliate partners. You will design journeys, build and run automations, and apply AI to scoring, personalization and qualification, measured by deals completed, not messages sent.

Responsibilities

1. Lifecycle & journey design

• Map and own journeys for three audiences: sellers, dealers and affiliate partners.
• Define trigger logic for drop-off points: abandoned sell request, inspection no-show, unaccepted offer, stalled settlement, dormant dealer.
• Maintain a journey library with entry/exit rules, frequency caps and suppression logic.

2. Marketing automation build & operations

• Build and QA multi-channel workflows across SMS, push, in-app, email and messenger channels, coordinated with call-center follow-up.
• Own data flow between marketing automation tools, product events and call-center tools, working with developers on event schemas and API/webhook integrations.
• Manage deliverability, opt-in/opt-out, sending windows and local regulatory requirements per channel.

3. Data, segmentation & analytics

• Build behavioral and value-based segments in SQL (car model, price band, city, funnel stage, dealer bidding history).
• Build dashboards for funnel conversion, time-in-stage, cohort retention and channel contribution.
• Run A/B and holdout tests with clear hypotheses; report incremental lift, not open/click rates.

4. Applied AI (core to the role)

• Predictive scoring: work with the data team to deploy or consume models for lead quality, propensity to accept an offer, dealer churn and next-best-action.
• Guarded generative content: produce Persian message variants and subject lines using LLMs, with a review workflow.
• Automation with AI agents: prototype workflows (e.g., n8n or equivalent) that summarize call notes, classify objections and route leads.
• Evaluation: define quality metrics for AI outputs (accuracy, tone, opt-out rate, conversion vs. control) and monitor drift.

5. Cross-functional work

• Partner with sales/call center, product, data and dev. Feed learnings back into product and pricing communication.

Requirements

• 1-3 years in eCRM and marketing automation roles, ideally in a marketplace, e-commerce, fintech or automotive business
• Hands-on experience building triggered, multi-step journeys in a real automation platform
• Working SQL; comfortable defining events and reading funnel data
• Experience designing and reading controlled experiments
• Practical LLM experience: prompt design, output evaluation, and knowing where it fails
• Python or no-code/low-code orchestration (n8n) for prototyping
• Understanding of RAG, guardrails and human-in-the-loop design