Marketing & AI Ops Manager, BigID

• 3 to 6 years in marketing operations, rev ops, or a closely adjacent function
• Hands-on HubSpot administration experience (not just reporting access)
• Strong working knowledge of GTM and GA4, including custom event configuration
• Demonstrated ability to build and maintain automated workflows without engineering support
• Comfortable working with APIs, webhooks, and lightweight scripting (Python, JS, or similar)
• Sharp instincts around data quality, attribution, and funnel analytics
• High tolerance for ambiguity and a bias toward building over process-documenting
• You solve problems by building things, not by escalating them
• You think in systems and spot dependencies others miss
• You can move fast without leaving a trail of technical debt
• You're energized by the pace of AI tooling development, not intimidated by it
• You communicate clearly with both technical and non-technical stakeholders

Desirable

• This is not a traditional marketing ops role
• We're looking for someone who builds, automates, and operates at the intersection of modern marketing infrastructure and AI-powered workflow engineering
• If your instinct is to fix a broken process rather than document a ticket when you spot one, you're our kind of person
• You'll own the systems and data pipelines that make our demand engine run, from lead capture to conversion tracking to campaign quality assurance
• You'll architect automation workflows, experiment with AI agents to accelerate ops velocity, and keep our martech stack running cleanly and intelligently
• You'll work closely with marketing, sales leadership, and rev ops to close the loop between program execution and revenue data
• This role sits at a genuinely interesting moment for the category: the playbook for AI-era marketing ops is still being written, and you'll have real latitude to shape how we build it at BigID
• Design and deploy AI-powered workflows and agents to automate repetitive marketing ops tasks
• Build and maintain process automations across the martech stack
• Identify automation opportunities across campaign operations, lead processing, and data quality
• Stay current on emerging AI tooling (MCP integrations, LLM-powered ops, etc.) and bring relevant innovations in-house
• Coordinate lead enrichment and normalization pipelines
• QA landing pages, campaign sequencing, form routing, and nurture workflows end to end
• Own conversion tracking infrastructure and attribution modeling
• Ensure data integrity across campaign inputs and outputs
• HubSpot: campaign configuration, lifecycle stages, reporting, and workflow management
• Chilipiper: meeting routing logic, form concierge setup, and inbound lead handling
• Navattic: interactive demo management and performance tracking
• Warmly: intent signal monitoring and site visitor enrichment
• GTM / GA4: tag management, event tracking, and conversion configuration
• Own and enforce data hygiene standards across marketing systems
• Build processes to catch and remediate dirty data before it reaches pipeline
• Campaign operations
• Martech stack ownership
• Data quality governance