AI-Driven Marketing Operations Manager (Remote)

Socket.dev; United States; On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Flexible PTO

Fridays off in Aug

Fully remote

Stock options

WiFi stipend

Professional development

Premium insurance

Job summary

Tiger Data is seeking a Marketing Operations Manager to own the day-to-day operating layer across HubSpot and our broader MarTech stack, enabling faster campaigns, trusted data, and scalable automation.

Reporting to the Senior Manager, Marketing Operations, you will build workflows, monitor attribution, manage duplicates, create SOPs, and drive AI-enabled processes that reduce manual work and improve data quality.

Qualifications

• Hands-on marketing operations experience with campaign workflows from setup through QA, launch and reporting.
• Comfortable working inside a marketing automation platform, HubSpot experience is a strong advantage.
• Strong coordination of cross-functional marketing projects across multiple teams and tools.
• Understand lifecycle stages, segmentation, deduplication, lead flow, attribution and data hygiene.

Responsibilities

• Owning day-to-day campaign operations in HubSpot and across the broader MarTech stack, including workflow builds and campaign execution.
• Improving lifecycle management and marketing-to-sales handoffs with cross-functional teams.
• Diagnosing attribution, routing and data-flow issues and fixing root causes.
• Creating and maintaining SOPs and operational documentation for recurring Marketing processes.

Skills

HubSpot experience

Cross-functional coordination

Marketing data fundamentals

AI-enabled workflows

Campaign operations

Tools

HubSpot

Salesforce

Google Analytics 4

6sense

Job description

Tiger Data is seeking a Marketing Operations Manager to own the day-to-day operating layer across HubSpot and our broader MarTech stack, enabling faster campaigns, trusted data, and scalable automation.

Reporting to the Senior Manager, Marketing Operations, you will build workflows, monitor attribution, manage duplicates, create SOPs, and drive AI-enabled processes that reduce manual work and improve data quality.