Sr. Marketing Technology Manager Demand Systems

This role will be based in San Francisco Mountain View or Sunnyvale.

At LinkedIn our approach to flexible work is centered on trust and optimized for culture connection clarity and the evolving needs of our business. The work location of this role is hybrid meaning it will be performed both from home and from a LinkedIn office on select days as determined by the business needs of the team. 

We are seeking a Sr. Marketing Technology Manager Demand Systems to help define and build the next generation of enterprise demand workflows across LinkedIn Talent Solutions LinkedIn Sales Solutions and LinkedIn Marketing Solutions.

This is an individual-contributor role for someone who combines demand-generation judgment with systems thinking and hands-on AI capability. You will own projects or workstreams within complex initiatives deliver end to end with minimal guidance and help define how enterprise demand should operate across people channels data decisions and systems. You will translate that future state into executable knowledge working prototypes evaluation criteria and production requirements.

You will operate at the intersection of demand strategy marketing and sales operations AI workflow design and enterprise transformation. You should understand how B2B demand is generated and progressed in practice including through email marketing automation CRM seller workflows and connected enterprise systems. You should be equally comfortable facilitating discovery with senior business leaders mapping a complex demand workflow with practitioners codifying decision logic and using AI-native tools to produce and test a functional solution.

Success in this role is measured by priority demand workflows moved end to end measurable business and operating outcomes and reusable capabilities adopted across LinkedIns lines of business.

Responsibilities 

• Own the end-to-end discovery design build and business validation of high-priority AI-enabled demand workflows independently leading workstreams coordinating dependencies resolving issues and delivering defined outcomes across LinkedIns enterprise lines of business.

• Partner with demand-generation and go-to-market leaders marketers sellers operations teams and subject-matter experts to translate growth strategies and ambiguous business problems into clear jobs to be done target outcomes and prioritized workflow investments.

• Design scalable end-to-end workflows and convert operational expertise into executable knowledge defining triggers decisions business rules handoffs exceptions system actions reusable instructions and the data integration permission privacy and governance requirements needed for enterprise operation.

• Use approved AI-native tools to directly build functional workflows automations reusable skills and validated agent prototypes; this is a hands-on Builder role rather than a requirements-only or advisory position.

• Design evaluations quality thresholds exception tests human-review controls success measures and learning plans; partner with Marketing Engineering to move validated solutions into production while retaining accountability for business logic workflow behavior evaluation integrity and business acceptance.

• Influence stakeholders across Marketing Sales Engineering Data Science Product Legal Privacy and Trust to resolve ownership gaps determine appropriate domain ownership align on tradeoffs and standardize reusable workflow patterns knowledge assets governance and Forward Deployed Builder practices.

• Maintain strong knowledge of foundational demand and lead-management systems and adjacent Marketing Technology domains; contribute to platform roadmaps and operational health; and create documentation playbooks and enablement materials that support consistent adoption and operation.

Qualifications :

Basic Qualifications

• Bachelors degree in Marketing Analytics Business or a related field and 4 years of experience in marketing technology or marketing operations or equivalent practical experience.

• 2 years of experience using AI-native tools including generative AI assistants CLI-based AI tools or comparable enterprise AI platforms as an integral part of day-to-day problem solving and delivery (e.g. Claude Code Github Copilot or comparable platforms).

• 2 years of hands-on experience building functional AI-enabled workflows skills agents automations or business solutions using generative AI automation low-code/no-code or agentic tools.

• 3 years of experience leading platform or technology adoption and operationalization.

• 3 years of experience applying analytical and systems-oriented problem solving to translate business needs into end-to-end workflows requirements or scalable technology-enabled capabilities.

• 3 years of experience supporting B2B demand-generation programs workflows systems or operating models.

• 3 years of experience partnering across business product data and engineering teams to deliver complex cross-functional capabilities.

Preferred Qualifications

• 7 years of experience in platform or technology adoption including substantial experience in workflow design scaling and analytical or systems-oriented problem solving.

• Deep understanding of enterprise B2B demand and sales motions along with experience using enterprise marketing and sales platforms such as Salesforce Microsoft Dynamics marketing automation customer data campaign-management or internally developed demand systems.

• Demonstrated ability to move from strategy through execution by discovering business problems redesigning end-to-end workflows translating complex business knowledge into executable assets building functional AI-enabled solutions evaluating quality and measuring outcomes.

• Working fluency with structured data schemas APIs system integrations SQL version control testing and AI evaluation methods with the ability to build credibly and partner deeply with Engineering.

• Strong product and systems judgment with the ability to balance user needs business outcomes technical feasibility risk governance and enterprise reuse.

• Experience designing experiments evaluation frameworks success metrics and measurement plans for workflows automation or AI-enabled products including responsible AI and human-review controls.

• Proven ability to influence senior leaders create clarity amid ambiguity challenge assumptions constructively and communicate effectively with executive business and technical audiences.

Suggested Skills

• Demand Generation Strategy
• AI Workflow Design and Building
• Agentic Systems and Generative AI
• Workflow and Systems Architecture
• Account-Based Marketing and Buying Groups
• Marketing-to-Sales Orchestration
• Executable Knowledge and Business Rules
• AI Evaluation and Testing
• Product and Systems Thinking
• Data and Technical Fluency
• Cross-Functional Leadership
• Outcome Measurement

LinkedIn is committed to fair and equitable compensation practices. 

The pay range for this role is $141000 to $231000. Actual compensation packages are based on several factors that are unique to each candidate including but not limited to skill set depth of experience certifications and specific work location. This may be different in other locations due to differences in the cost of labor. 

The total compensation package for this position may also include annual performance bonus stock benefits and/or other applicable incentive compensation plans. For more information visit Information :

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No

Employment Type :

Full-time