Senior Manager, Marketing Operations – Orchestration & Automation Strategy

This is a fully remote position, open to applicants in North Carolina.

📋 Description

• Oversee the strategy for marketing orchestration operations and automation throughout the buyer journey.

• Take charge of the operational strategy for synchronized, data-driven engagement across the marketing funnel.

• Ensure that programs are prioritized, personalized, measurable, and aligned with lifecycle progression.

• Operate at the intersection of marketing strategy, operations, data, technology, and AI.

• Manage the operational framework that integrates both inbound and outbound marketing efforts.

• Collaborate closely with the AI Strategy lead to execute AI-driven initiatives.

• Facilitate marketing transformation through scalable operational execution.

• Work in partnership with various teams to implement data-driven, automated, and AI-enabled workflows.

⛳️ Requirements

• 7+ years of experience in Marketing Operations, Lifecycle Marketing, Demand Generation, or a similar B2B marketing role.

• Knowledge of AI-enabled marketing capabilities and a proven history of applying them in practical scenarios.

• Experience in developing frameworks for segmentation, personalization, suppression, prioritization, triggers, and eligibility.

• Strong grasp of lifecycle architecture, data flows, lead management, audience governance, and marketing-to-sales handoff processes.

• Proven experience in designing and governing intricate customer journeys, nurture programs, campaign interaction models, or lifecycle engagement strategies.

• Practical expertise with marketing automation platforms (such as Marketo, HubSpot, Pardot) and CRM systems (like Salesforce).

• Strong analytical abilities with experience utilizing reporting/BI tools (e.g., Tableau, Power BI, or similar).

• Systems thinker capable of designing and articulating complex workflows.

• Excellent collaborator who can influence across teams and translate strategy into actionable execution.

• Deep understanding of data models, data flows, and lifecycle architecture.

• Ability to turn strategy into execution and convey complex concepts to non-technical stakeholders.

• Proven experience applying AI in marketing scenarios (such as segmentation, personalization, lead scoring, journey decisioning, campaign optimization).

• Familiarity with contemporary AI tools (e.g., generative AI, predictive analytics, CDPs, intent data platforms) and the capability to evaluate or construct use cases.

• Understanding of prompt engineering, workflow automation, and the integration of AI into marketing technology stacks.

• Awareness of AI governance, data privacy, and ethical considerations in marketing applications.

🏝️ Benefits

• Health insurance

• 401(k) matching

• Flexible working hours

• Paid time off

• Tuition assistance

• Employee assistance programs

• Employee resource groups

• Collaborative workspaces