Marketing Manager IV | Marketing Systems & AI Enablement

Linda Werner & Associates

8d•Remote

About The Position

The Marketing Manager IV will support the development of scalable marketing systems, messaging frameworks, and AI-enabled workflows. The role combines marketing strategy, systems design, AI innovation, and cross-functional leadership, translating complex marketing strategies into structured, repeatable processes. It focuses on building and optimizing infrastructure, standards, and workflows that enable consistent messaging and operational efficiency across a large marketing organization, rather than traditional campaign management or content creation. The position partners with engineering and technical teams to develop marketing systems and incorporate AI into existing processes while maintaining quality and brand standards. It also works across Product Marketing, Growth Marketing, Analytics, and other business functions to develop go-to-market enablement frameworks, drive adoption, define success measures, and continuously optimize processes using data and stakeholder feedback. This is a remote, contract position for six or more months, with an expected 40-hour workweek.

Requirements

Experience working within a large technology organization or similarly complex enterprise environment.
Demonstrated experience building or scaling marketing systems, messaging frameworks, or enablement infrastructure.
Strong systems thinking, framework design, and process optimization capabilities.
Experience partnering directly with engineering or technical teams to develop systems and workflows.
Proven ability to influence cross-functional stakeholders and drive organizational adoption.
Experience establishing success metrics and using data to measure effectiveness and drive improvements.
Hands-on experience leveraging AI tools to improve scalability, operational efficiency, and messaging consistency.
Excellent communication, collaboration, and problem-solving skills.
English language proficiency.

Nice To Haves

Experience supporting global product marketing, business messaging, or go-to-market enablement programs.
Background in technical marketing, marketing operations, or systems architecture.
Familiarity with AI-powered marketing platforms, workflow automation, or enterprise knowledge management systems.
Experience establishing messaging governance, documentation standards, and reusable frameworks.
Technical or engineering background with experience transitioning into marketing systems or operations.
Ability to navigate ambiguity and collaborate effectively across multiple business functions.

Responsibilities

Design and implement scalable marketing systems, messaging frameworks, and standardized workflows.
Develop reusable templates, documentation standards, and structured messaging resources.
Translate complex positioning strategies into practical frameworks for adoption across multiple teams.
Establish messaging governance, documentation standards, and processes that support consistency across channels.
Partner with engineering and technical teams to develop and optimize marketing systems.
Design AI-enabled workflows that improve messaging efficiency, scalability, and consistency.
Integrate AI capabilities into existing marketing processes while maintaining quality and brand standards.
Identify opportunities for automation, process improvement, and operational efficiency.
Collaborate with Product Marketing, Growth Marketing, Engineering, Analytics, and other business functions.
Develop standardized go-to-market enablement frameworks and scalable messaging resources.
Drive adoption of marketing systems and processes across complex, matrixed organizations.
Influence stakeholders and build alignment without direct reporting authority.
Define success metrics for messaging adoption, consistency, and effectiveness.
Partner with analytics teams to establish measurement frameworks and performance benchmarks.
Evaluate existing processes and identify opportunities for improvement.
Manage messaging documentation, version control, governance, and quality standards.
Use data and stakeholder feedback to drive continuous optimization.