Senior Marketing Operations Specialist

Responsibilities

• Drive the execution and optimization of multi-channel marketing campaigns, ensuring alignment with campaign goals, audience strategy, and GTM priorities.
• Identify opportunities to apply AI/LLM-based tools to marketing operations workflows (e.g., data enrichment, lead scoring inputs, campaign QA, documentation generation) and prototype solutions independently.
• Build predictive lead scoring models, next-best-action or next-best-offer engines, automated content or subject line personalization using generative AI or prioritization algorithms.
• Document what's automated, what remains human-in-the-loop, and why — keeping the team's automation framework current as new tools come online.
• Own data hygiene standards for lead source, UTM tagging, and campaign metadata to support accurate attribution and pROI reporting.
• Enforce QA processes for email deliverability, list accuracy, and personalization data.
• Ensure workflows comply with GDPR/CCPA and internal data governance standards.
• Support UTM standardization and analytics QA to keep attribution reporting audit-ready.
• Collaborate with Marketing Analytics on reporting needs, campaign performance tracking, and attribution readiness.
• Partner with Platform Ops on tool integrations and funnel-wide personalization efforts.
• Build and maintain playbooks, SOPs, and process documentation to drive repeatability and reduce single-person dependency on critical workflows.

Requirements

• 4+ years in marketing operations, campaign operations, or a similar revenue operations role, ideally in B2B SaaS.
• Hands-on expertise with HubSpot and Salesforce, including campaign structures, list management, and lead lifecycle configuration.
• Experience with Clay, Asana-based workflow automation, or agentic/AI tooling in a marketing ops context.
• Experience with lead routing tools (LeanData, Qualified, or similar).
• Demonstrated experience building automations or integrations — whether through native tool workflows, scripting, no-code/low-code platforms, or AI-assisted tooling.
• Strong data hygiene instincts: comfort auditing, cleaning, and standardizing large datasets (UTM logic, lead source mapping, dedupe).
• Working knowledge of GDPR/CCPA and email deliverability best practices.
• Excellent cross-functional communication — able to translate technical/operational constraints for non-technical stakeholders.
• Comfort operating with ambiguity and taking ownership of ill-defined or newly-inherited processes.

Compensation

This role will receive a competitive base salary, benefits, and stock, typically in the form of Restricted Stock Units (RSUs). The applicable salary range for this role is: $110,500 - $136,500. A variety of factors are considered when determining someone’s leveling and compensation–including a candidate’s professional background and experience. These ranges may be modified in the future and final offer amounts may vary from the amounts listed above.