Responsibilities

• Own the marketing technology stack, defining and executing the MarTech strategy across the full ecosystem, including HubSpot, enrichment tools, intent platforms, attribution, and emerging technologies.
• Lead vendor evaluation, selection, and integration to ensure a rationalized, cost-effective stack with clear ROI.
• Establish and enforce platform governance standards, including naming conventions, data hygiene protocols, and documentation requirements.
• Build and maintain the MarTech roadmap, identifying opportunities to consolidate , automate, or enhance capabilities across the stack.
• Oversee two HubSpot administrators, ensuring the platform operates as a strategic asset rather than a ticket queue.
• Own lifecycle stage architecture, lead scoring models, automation workflows, and campaign operations within HubSpot.
• Manage the marketing to sales handoff, including lead routing, SLA enforcement, MQL and SQL definitions, and pipeline hygiene.
• Partner with IT, RevOps , and Sales Enablement to ensure the CRM serves both marketing and sales without creating friction or data conflicts.
• Lead the marketing analytics function, building attribution models and reporting frameworks that clearly demonstrate marketing's contribution to pipeline and revenue.
• Provide leadership with actionable insights on funnel performance, channel effectiveness, and optimization opportunities.

Requirements

• 8+ years of experience in marketing operations, marketing technology, or revenue operations roles.
• Proven ownership of a marketing technology stack in a B2B or SaaS environment, with deep HubSpot expertise or equivalent platform experience and the ability to translate across platforms.
• Experience managing or directing technical resources, including platform administrators and engineers.
• Strong analytical mindset with experience building attribution models and tying marketing operations to pipeline and revenue outcomes.
• Demonstrated ability to set and execute a MarTech strategy, including vendor evaluation, integration architecture, and build versus buy decisions.
• Familiarity with AI and machine learning applications in a marketing context, with the ability to evaluate technical feasibility and direct engineering resources toward high-impact use cases.
• Experience working cross-functionally with demand generation, sales operations, web, and analytics teams.
• Strong data governance instincts, with a default toward clean data and documented processes.
• Ability to balance strategic planning with hands-on execution in a fast-paced environment.