Marketing Operations Manager

KaiSan Jose, CA

About The Position

This is the first marketing operations hire at Kai, offering a unique opportunity to build the marketing operations function from the ground up. Unlike typical roles burdened by legacy systems and past decisions, this position provides a blank slate with HubSpot, an AI-native CRM, and a fast-growing enterprise pipeline. Reporting to the Head of GTM Operations, the successful candidate will define and own the marketing operations strategy, including the data model, lifecycle management, campaign framework, routing engine, and measurement layer. The role emphasizes building AI-native systems that align with Kai's identity as an AI company, moving beyond manual processes to leverage agents and automation. This is an ideal opportunity for someone with strong opinions on lifecycle, attribution, and routing who wants to implement their vision in a forward-thinking environment.

Requirements

  • 5–8 years in Marketing Operations, GTM Engineering, or Revenue Operations
  • Deep, hands-on HubSpot expertise
  • A real philosophy on AI-native operations
  • Data modeling fluency
  • Ability to build multi-touch attribution with cross-functional credibility

Responsibilities

  • Own the marketing data model across the marketing automation platform and Sales CRM
  • Manage the person-to-account architecture: deduplication, hierarchy handling, and buying-group logic
  • Support the enrichment and data-quality layer with AI-driven waterfalls, automated validation, and monitoring
  • Manage the governance model: naming conventions, field ownership, change control, and privacy/GDPR
  • Define source, sourcing, and influence rules that Marketing, Sales, and Finance all sign off on, and enforce them in the system
  • Operationalize events, webinars, field programs, and partner motions end to end capture, enrichment, QA, upload, follow-up, and attribution leveraging AI
  • Instrument the website and digital properties for conversion tracking, UTM discipline, and form/progressive-profiling strategy
  • Build campaign performance reporting
  • Use AI to score, qualify, research, and enrich inbound before a human ever touches it
  • Support SLA tracking, working-status enforcement, recycle and re-entry logic, and alerting for every break in the chain
  • Instrument lifecycle stages and track conversion rates and cycle times
  • Support the creation of ABM and account-based plays: target account lists, buying-group orchestration, and coordinated multi-threaded outreach
  • Deliver marketing-sourced and marketing-influenced pipeline reporting
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