Senior Marketing Operations Manager
Listed on 2026-01-12
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IT/Tech
Data Analyst, Data Security, Digital Marketing, Data Science Manager
About this position:
We’re looking for a Senior Marketing Operations Manager to serve as the connective tissue between our marketing technology, data, and strategy. Reporting to the VP of Revenue Operations, you’ll own the systems, processes, and insights that power how Later’s marketing engine runs — from campaign execution to attribution modeling and revenue analysis.
This is a high-impact role for a technically fluent, strategically minded operator who can architect the right systems, build scalable processes, and enable smarter, faster marketing decisions. You’ll be hands-on in Marketo and Salesforce, helping to ensure our Marketing system stack inclusive of Marketo, Hub Spot, Salesforce, Segment, GA4 works as one unified ecosystem, and evolve the data infrastructure and operational discipline that drive growth across Marketing, Sales, and Services.
What you'll be doing:- Act as the operational architect for Marketing — designing systems, processes, and workflows that improve efficiency, visibility, and performance across the funnel.
- Partner with Marketing and Rev Ops leadership to align on data strategy, attribution modeling, and budget optimization.
- Translate business objectives into scalable marketing operations frameworks that support pipeline, revenue, and customer lifecycle goals.
- Own and optimize the Core Marketing system Marketo — ensuring data flows accurately and tools are properly integrated.
- Support large cross-functional initiatives (e.g., migrations, system integrations, marketing-to-sales handoff optimizations).
- Contribute to lead scoring, lifecycle management, and campaign taxonomy to drive consistency and reporting accuracy.
- Manage and execute marketing automation programs for email nurtures, webinars, gated content, and multi-channel campaigns.
- Lead the daily administration of Marketo, managing users, roles, campaign structures, and naming conventions.
- Partner closely with Demand Gen, Brand, Product Marketing, and Customer Success to ensure campaigns launch efficiently and accurately.
- Collaborate with Rev Ops, Sales Ops, and Data Engineering to align on CRM processes, reporting, and attribution frameworks.
- Serve as a trusted advisor to marketers on campaign best practices, process design, and tool adoption.
- Mentor junior team members and cross-functional peers, with potential to grow into people leadership within 6–12 months.
- Stay ahead of evolving Mar Tech trends, integrations, and automation strategies to keep Later’s systems best-in-class.
- Continuously evaluate new tools, vendors, and data enrichment solutions that can improve scalability and insight quality.
- Document processes, create internal playbooks, and drive operational excellence across the marketing organization.
Within the first 6–12 months, success will look like:
- A well-documented Mar Tech ecosystem where Marketo, Salesforce, and Hub Spot are Well integrated and new use cases for Marketo are identified, fully integrated, and functioning seamlessly.
- Standardized campaign frameworks and taxonomies that enable consistent reporting and measurement across all marketing channels.
- Accurate, trusted marketing data that drives confident decision-making and clear ROI visibility.
- Faster, more reliable campaign and Event lead execution across Marketing — powered by automation, streamlined processes, and operational discipline.
- Recognition as a trusted strategic partner to the VP of Revenue Operations, VP of Demand Generation and the broader marketing leadership team.
- 6+ years of experience in Marketing Operations, Revenue Operations, or Growth Operations within a SaaS or high-growth environment.
- Proven expertise in marketing automation administration (Marketo required) and CRM systems such as Salesforce, Hub Spot,.
- Strong command of data management and integration tools (e.g., Segment, GA4, and cross-platform orchestration).
- Experience designing and maintaining lead scoring models, campaign taxonomies, and lifecycle frameworks
. - Deep understanding of marketing data hygiene, normalization, and attribution methodologies
. - Analytical mindset with the ability to connect…
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