Senior Marketing Operations Manager

New
T
TCP SoftwareB2B SaaS
United StatesFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
SalesforceCRM

Requirements

  • 5+ years of experience in marketing operations, revenue operations, or a related B2B SaaS marketing role.
  • Strong hands-on experience with Salesforce and Marketo.
  • Experience building and optimizing lead lifecycle management, scoring, routing, campaign operations, automation, and reporting.
  • Strong understanding of CRM and marketing automation architecture, integrations, data flows, and funnel operations.
  • Experience building dashboards and reporting that connect marketing activity to pipeline and revenue outcomes.
  • Strong command of data quality management, segmentation, enrichment, deduplication, and governance best practices.
  • Experience evaluating and improving martech stacks to increase efficiency, interoperability, and business value.
  • Clear understanding of how AI can be applied in marketing operations.
  • Strong analytical, problem-solving, and project management skills.
  • Ability to communicate clearly, work cross-functionally, and influence outcomes across technical and non-technical stakeholders.

Responsibilities

  • Own and improve the systems, processes, and data that support marketing execution and performance measurement.
  • Serve as the primary marketing operations lead for Salesforce, Marketo, Demandbase, and LeanData ensuring strong integration, clean data flow, and reliable reporting across the funnel.
  • Build, manage, and optimize lead lifecycle processes, scoring models, routing logic, nurture flows, campaign setup, and automation programs.
  • Partner with RevOps to improve lead management, funnel visibility, handoff quality, and alignment across teams.
  • Develop and maintain dashboards, reporting, and analysis that provide clear visibility into campaign performance, pipeline contribution, conversion, velocity, and ROI.
  • Drive database health and data governance, including segmentation, enrichment, deduplication, normalization, and process discipline.
  • Evaluate, implement, and optimize tools and platforms that improve orchestration, account-based marketing, and operational efficiency.
  • Identify gaps, inefficiencies, and manual work in our martech stack, then implement improvements that increase scale, speed, and accuracy.
  • Help modernize our marketing technology ecosystem to better support AI-driven segmentation, personalization, automation, and performance optimization.
  • Create and document scalable processes, standards, and best practices for campaign operations, QA, reporting, and cross-functional workflows.
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