DevRev is hiring a Marketing Operations Manager

About the Role

Role details below.

Responsibilities

• Execute marketing operations work across multiple platforms, workflows, and processes.
• Translate defined requirements into practical, working operational setups.
• Ensure initiatives are operationally ready, consistent, and scalable.
• Own follow-through and closure on marketing operations work across teams.
• Support lifecycle engagement programs that respond to marketing activity, product usage signals, and customer engagement behavior.
• Conduct structured discovery across marketing workflows, systems, and handoffs.
• Document current-state processes.
• Document system boundaries and data flows.
• Document dependencies, risks, and ownership gaps.
• Maintain clear, structured documentation that enables scale, alignment, and decision-making.
• Ensure marketing operations knowledge and architecture are documented to support long-term operational continuity.
• Lead or materially contribute to lifecycle orchestration and marketing automation implementations.
• Support lifecycle configuration, automation design, data model alignment, and CRM integration.
• Support the design and documentation of marketing operations architecture spanning lifecycle orchestration platforms, marketing automation systems, product event data sources, enrichment and data tooling, CRM and customer data platforms.
• Identify opportunities to eliminate manual work through thoughtful automation.
• Design scalable automation patterns that improve efficiency without introducing system fragmentation.
• Ensure automation logic is documented, governed, and aligned with agreed operating principles.
• Apply and uphold marketing operations standards across platforms.
• Ensure consistency in lifecycle logic, data models, and workflow design.
• Identify and mitigate risks related to duplication, uncontrolled changes, or tool sprawl.
• Push back or escalate when architecture, lifecycle logic, or data integrity is at risk.
• Maintain operational discipline across lifecycle management and system integrations.
• Apply AI-assisted tools pragmatically to improve operational efficiency, documentation, and workflow design.
• Partner effectively with engineering, data, or AI teams when AI-enabled capabilities intersect with marketing systems.
• Evaluate where AI-driven automation adds value versus where deterministic or rules-based approaches are more appropriate.
• Ensure AI-enabled workflows remain governed, explainable, and aligned with operational standards.
• Work closely with marketing, operations, engineering, product, and data teams.
• Coordinate dependencies and unblock execution across functions.
• Build strong working relationships with key stakeholders across GTM and product teams.
• Operate effectively in ambiguous, evolving environments typical of high-growth