Senior AI Engineer, Marketing Platforms

Jobgether

Italia

Presencial

EUR 90.000 - 150.000

Jornada completa

Hace 2 días

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Ventajas ofrecidas por este puesto de trabajo

Build AI-native marketing platform

Large-scale marketing ops exposure

Modern AI development tools

Cross-functional collaboration

Enterprise data governance

Descripción de la vacante

Jobgether is seeking a Senior AI Engineer, Marketing in Italy to design and deliver AI-powered marketing infrastructure. You will build a unified lead intake, leverage AI for qualification and routing, and ensure reliable integration with CRM and ESPs.

The role emphasizes data governance, secure delivery, and scalable cloud deployments. You will work with Marketing Operations and engineering teams to implement agentic tooling and an in-house platform, driving marketing efficiency and data

Formación

Bachelor's degree in Computer Science or related technical field.
6+ years building and operating production backend systems, including 3+ years Python.
Hands-on experience with AI coding agents such as Claude Code, Cursor, Copilot agent mode, or Codex.
Production experience supporting marketing automation platform integrations, preferably HubSpot (Marketo/Pardot also considered).
Strong understanding of marketing automation APIs and CRM data synchronization.
Experience with event-driven architectures and workflow engines (Temporal or similar).
REST APIs, webhooks, OAuth 2.0, retries, and vendor-specific services.
Advanced PostgreSQL skills: JSONB, partitioning, migrations, performance.
Cloud deployments on Azure or AWS, with Terraform/Bicep, GitHub Actions, secrets management, observability.
Experience delivering LLM-powered features with evaluation, confidence thresholds, safeguards.
Excellent English communication for technical discussions with Marketing Ops teams.

Responsabilidades

Design, build, and operate the next generation of marketing tech while keeping existing systems reliable during migration.
Develop a unified lead intake platform across websites, portals, events, partners, and lists with validation and enrichment.
Build AI-powered lead qualification and scoring using usage, behavior, intent data, and company info.
Create intelligent lead routing based on territory, capacity, availability, and priority with transparent decisions.
Improve lead hand-offs from capture to first sales interaction with timely follow-up.
Develop a self-service campaign management layer to configure routing and nurturing rules.
Design AI-native capabilities accessible through an MCP server for agents to retrieve data and trigger actions.
Establish centralized consent and suppression controls for data governance.
Integrate with CRM, ESPs, enrichment tools, and internal data platforms with reliable sync and recovery.
Use an agentic development platform to accelerate delivery with strong code quality and security.
Maintain marketing automation integrations including CRM sync, portal feeds, enrichment services, and APIs.
Investigate and resolve integration incidents, root-cause analysis, and durable fixes.
Manage configuration changes in the marketing automation platform during migration.
Develop interim forms gateway and enrollment connector for transition away from legacy integrations.
Reconcile data across systems during migration to identify inconsistencies before cutovers.