Company:Later
Location:United States, Canada
Languages:English
Seniority level:Senior, 6+ years
Experience:6+ years
Skills:SQLSalesforceCRMData management
- 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).
- Proven expertise in CRM systems such as Salesforce, HubSpot.
- 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 operational metrics to business outcomes.
- Exceptional collaboration and communication skills.
- Curious, proactive, and solution-oriented.
- Bachelor’s degree in Business, Marketing, Data, or a related field (or equivalent experience).
- Act as the operational architect for Marketing, designing systems, processes, and workflows.
- Partner with Marketing and RevOps leadership on data strategy, attribution, and budget optimization.
- Translate business objectives into scalable marketing operations frameworks.
- Own and optimize the Marketo system, ensuring accurate data flow and tool integration.
- Support cross-functional initiatives like migrations and system integrations.
- Contribute to lead scoring, lifecycle management, and campaign taxonomy.
- Manage and execute marketing automation programs.
- Lead daily administration of Marketo, managing users, roles, campaigns, and naming conventions.
- Partner closely with Demand Gen, Brand, Product Marketing, and Customer Success.
- Collaborate with RevOps, Sales Ops, and Data Engineering on CRM processes and reporting.
- Serve as a trusted advisor to marketers on campaign best practices and tool adoption.
- Mentor junior team members and cross-functional peers.
- Stay ahead of MarTech trends, integrations, and automation strategies.
- Continuously evaluate new tools, vendors, and data enrichment solutions.
- Document processes and create internal playbooks.