Senior AI Engineer, Marketing
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pbThis position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer, Marketing based in Italy. /b /p pJoin a technology-driven team building the next generation of AI-powered marketing infrastructure.br/In this role, you will strengthen and evolve the systems that support complex marketing operations, lead management, and data governance.br/You will initially improve the reliability of an established marketing automation ecosystem while helping transition toward a more scalable, in-house platform.br/Your work will combine backend engineering, AI product development, workflow orchestration, and enterprise integrations.br/You will develop intelligent capabilities for lead qualification, scoring, routing, and campaign management.br/Working closely with Marketing Operations and technical teams, you will turn complex business needs into dependable, AI-native solutions.br/This is an opportunity to shape foundational technology with a direct impact on marketing efficiency and data quality. /p h3Accountabilities /h3 pYou will design, build, and operate the next generation of marketing technology while ensuring existing systems remain reliable throughout the transition. Your responsibilities will include: /p ul lipDevelop a unified lead intake platform that captures leads from websites, portals, webinars, events, partners, and imported lists, ensuring validation, deduplication, consent management, and enrichment. /p /li lipBuild AI-powered lead qualification and scoring capabilities using signals such as product usage, learning activity, website behavior, intent data, and company information. /p /li lipCreate intelligent lead routing systems that assign prospects based on territory, team capacity, availability, and priority, with transparent decision records. /p /li lipImprove lead hand-offs by tracking each prospect from initial capture to first sales interaction, identifying delays, and ensuring timely follow-up. /p /li lipDevelop a self-service campaign management layer that allows Marketing Operations to configure routing, prioritization, and nurturing rules without creating additional workflows. /p /li lipDesign AI-native capabilities that can be accessed through an MCP server, enabling internal agents and assistants to retrieve lead information, explain decisions, and trigger campaign actions. /p /li lipEstablish centralized consent and suppression controls, ensuring compliance and consistent data governance across systems. /p /li lipIntegrate the platform with CRM, email service providers, visitor identification, enrichment tools, and internal data platforms, ensuring reliable synchronization and recovery mechanisms. /p /li lipUse an agentic software development platform to accelerate delivery while maintaining high standards of code quality, security, testing, and documentation. /p /li lipMaintain existing marketing automation integrations, including CRM synchronization, sales engagement tools, portal and Academy feeds, enrichment services, web forms, and APIs. /p /li lipInvestigate and resolve integration incidents, identify root causes, implement lasting fixes, and document technical changes. /p /li lipManage essential configuration changes in the existing marketing automation platform while avoiding unnecessary complexity during migration. /p /li lipDevelop an interim forms gateway and enrollment connector to support the transition away from legacy integrations. /p /li lipReconcile data across existing and new systems throughout the migration to identify inconsistencies before each cutover milestone. /p /li /ul h3Requirements /h3 pThe ideal candidate combines strong backend engineering expertise with hands‑on experience operating marketing technology integrations and delivering AI-powered product capabilities. You should bring: /p ul lipA bachelor's degree in Computer Science, Software Engineering, or a related technical discipline. /p /li lipAt least 6 years of experience building and operating production backend systems, including 3 or more years of professional Python development. /p /li lipRecent, hands‑on experience using AI coding agents such as Claude Code, Cursor, GitHub Copilot agent mode, or Codex, with the ability to demonstrate your development, review, and testing workflow. /p /li lipProduction experience supporting marketing automation platform integrations, preferably HubSpot, with Marketo or Pardot also considered. /p /li lipStrong understanding of marketing automation APIs, data models, and synchronization with CRM systems. /p /li lipExperience with event-driven architectures and durable execution patterns, including message queues, outboxes, idempotency keys, and replay mechanisms. Experience with Temporal or a comparable workflow engine is highly desirable. /p /li lipPractical integration engineering experience with REST APIs, webhooks, OAuth 2.0, rate limits, retries, and vendor-specific service