Marketing Operations Automation Manager - Marketo Platform Architect

Snowflake Snowflake · Data AI · CA-Menlo Park, United States · Marketing

This role focuses on re-engineering the Marketo Engage platform into an AI-augmented marketing automation system, emphasizing platform engineering, agentic workflow design, and scalable campaign infrastructure. The goal is to build self-sustaining, automated systems that eliminate manual processes.

What you'd actually do

  1. Own, evolve, and fundamentally re-engineer our Marketo Engage platform into a self-sustaining, AI-augmented marketing automation system.
  2. Architect the technical foundation of our marketing automation environment: building self-healing data integrity systems, API orchestration layers, AI-powered template engines, and deeply integrated Salesforce sync infrastructure that scales without manual intervention.
  3. Build integration workflows on enterprise iPaaS (Workato, Tray.io) and have hands-on experience applying Generative AI and agentic patterns to replace legacy manual workflows with autonomous systems.
  4. Build diagnostic and observability tooling for marketing automation — automated anomaly detection in smart-campaign logic, self-alerting audit systems, and root-cause analysis frameworks rather than manual break-fix cycles.
  5. Develop an AI and agentic automation roadmap — systematically evaluate and deploy emerging AI capabilities to replace manual campaign workflows with autonomous, agent-driven systems.

Skills

Required

  • 5+ years building in automation systems on Adobe Marketo Engage
  • Marketo Certified Expert or Solutions Architect
  • Built and maintained Marketo–Salesforce integration architecture
  • Designed API orchestration layers around Marketo REST and Bulk APIs
  • Advanced JavaScript and Velocity engineering
  • Built integration workflows on enterprise iPaaS (Workato, Tray.io)
  • Applying Generative AI and agentic patterns
  • Architected privacy and consent management systems
  • Systems thinker
  • Built diagnostic and observability tooling for marketing automation

Nice to have

  • AI-powered template engines
  • self-healing data integrity systems
  • scalable campaign infrastructure
  • rate-limit-aware middleware
  • automated retry/backoff systems
  • concurrency management frameworks
  • reusable scripting libraries
  • autonomous systems
  • automated classification, consent propagation, and audit trail generation
  • architectural durability, extensibility, and self-service enablement
  • automated anomaly detection
  • self-alerting audit systems
  • root-cause analysis frameworks

What the JD emphasized

  • not a traditional marketing operations or campaign execution role
  • not just administer a platform — you build the systems
  • not just administering, but continuously re-architecting for scale
  • not just executing campaigns
  • rather than manually monitoring usage
  • rather than one-off scripts
  • rather than manual compliance checks
  • rather than manual break-fix cycles
  • rather than requiring manual content creation for each segment
  • remediate automatically
  • resolved by the system's design, not by your availability