Build and optimize marketing operations and campaign systems at fast-growing Voice AI company Vapi. Own HubSpot workflows, event ops, lifecycle nurturing, data quality, funnel reporting and attribution using SQL, APIs and AI-powered tools. Requires 5+ years in marketing ops at high-growth firms.
Salary not listed
Hybrid5+ YOERevenue Operations
About the role
Responsibilities
Own HubSpot platform for workflow and email operations, including monitoring domain reputation, bounces, spam complaints, and governing send frequency.
Support behavioral trigger workflows, onboarding sequences, and nurture tracks by segment.
Collaborate with RevOps on segmentation taxonomy (ICP tiers, personas, verticals, lifecycle stages).
Maintain lifecycle stage definitions (MQL/SQL/etc.) and monitor stage-to-stage conversion.
Run pre-launch QA for campaigns: UTM/link checks, rendering tests, list validation, and suppression logic.
Own webinar and event operations end-to-end, including registration, attendance tracking, post-event automation, and conference lead capture against defined SLAs.
Maintain campaign data consistency across HubSpot and Salesforce.
Maintain funnel dashboards, stage-conversion reporting, and run recurring marketing-sales funnel reviews.
Own campaign performance reporting, build self-serve dashboards, keep HockeyStack inputs clean, and surface attribution outputs.
Keep campaign influence visible on opportunities for accurate pipeline reporting.
Requirements
5+ years of experience in campaign management, marketing operations, revenue operations, or related function at a high-growth company.
Fluency in UTM structures, attribution models, and campaign tracking best practices.
Excellent analytical skills; comfortable in spreadsheets, can write basic SQL, and find signal in noisy data.
Have built or prototyped AI-powered workflows using LLM APIs, Claude Code, etc.
Deep expertise in HubSpot, including API usage for programmatic data extraction.
Comfortable in Salesforce for database hygiene and CRM integrations.
Obsessed with data quality (enrichment rates, match rates, hygiene).
Fast, autonomous, and able to prioritize ruthlessly in a fast-moving environment.
Nice-to-Haves
Experience at an agent-forward or AI company.
Proficiency with HockeyStack for attribution.
Compensation and Benefits
Competitive salary and excellent equity ownership.
Comprehensive health coverage: medical, dental, and vision plans.
Flexible time off: take what you need.
Catered meals, transportation, gym membership, and a $10k annual L&D budget.
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