Remote Marketing Messaging Architect for AI-Scale

Planet Group; California; Remote; USD 87,000 - 94,000; Full time

Job summary

Planet Group is seeking a Marketing Manager to design and own the systems, standards, and workflows that scale portfolio messaging across a large marketing organization. You will translate positioning into durable messaging frameworks, enablement resources, and measurement systems while not owning the content itself.

The role focuses on messaging architecture, enablement design, and AI-enabled scale, partnering with strategy leads to ensure documentation reflects positioning intent and is

Qualifications

• Strong systems thinking, framework design, and pattern-recognition skills
• Experience scaling messaging, enablement, or content platforms across complex, matrixed organizations
• Ability to translate abstract strategy into practical, repeatable guidance
• Comfort influencing without direct authority across cross-functional teams
• Experience defining success metrics and using data to drive continuous improvement
• Fluency using AI as an accelerant for scale and consistency

Responsibilities

• Messaging Architecture & Documentation Systems: Own the structure, templates, and lifecycle of the organization's core messaging documents—the single-source-of-truth references that teams use to build communications
• Define standard components, data, and tagging conventions that reflect strategic positioning decisions
• Ensure messaging documentation is modular, reusable, and structured for AI integration
• Partner with strategy leads to ensure documentation clearly reflects positioning intent
• Canonical vs. Adaptable Messaging Guidance: Operationalize decisions about what messaging is fixed vs. flexible
• Ensure teams understand how to tailor messaging for their context without diluting strategic intent Enablement
• Resource Design (System Ownership): Design and standardize go-to-market enablement packages for product portfolios, brand stories, and tentpole moments
• Define core components (e.g., pitch frameworks, proof points, usage guidance) and when enablement packages are required vs. optional
• Ensure enablement resources are modular, composable, reusable across teams and markets, and structured for AI-assisted workflows
• Partner with marketing and audience teams on adoption, not production
• Measurement & Optimization: Define success metrics for positioning reach, adoption, and effectiveness
• Recommended: what to measure, how to measure, baselines, lightweight tracking mechanisms
• Use insights to identify gaps or overproduction in messaging resources; inform future messaging and enablement design
• AI Enablement & Scale Design: AI-ready workflows that reinforce messaging guardrails and brand standards
• Ensure AI tools accelerate synthesis, reuse, and consistency across the organization; monitor quality and risk in AI outputs
• Governance & Quality at Scale: Manage messaging document and enablement resource lifecycle, versioning, and updates
• Spot-check for drift or misuse and trigger exception reviews
• Partner with leadership on governance thresholds and escalation paths
• What Success Looks Like: Positioning decisions scale through messaging documentation and AI systems
• Teams reuse existing messaging and enablement; enablement volume decreases while usage and impact increase
• Fixed vs. flexible guidance is clear and consistently applied
• AI is used safely and effectively to accelerate messaging work
• This role is a strategic enabler within GBM, focused on scaling messaging infrastructure and driving cross-functional adoption.

Job description

Planet Group is seeking a Marketing Manager to design and own the systems, standards, and workflows that scale portfolio messaging across a large marketing organization. You will translate positioning into durable messaging frameworks, enablement resources, and measurement systems while not owning the content itself.

The role focuses on messaging architecture, enablement design, and AI-enabled scale, partnering with strategy leads to ensure documentation reflects positioning intent and is