Job description

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 LinkedIn's 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 LinkedIn’s 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. Basic Qualifications • Bachelor’s 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 $141,000 to $231,000. 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 careers.linkedin.com Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: app.smartsheet.com Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: • Documents in alternate formats or read aloud to you • Having interviews in an accessible location • Being accompanied by a service dog • Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: lnkd.in. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: linkedin.com.

Requirements

Must-haves

Success in this role is measured by priority demand workflows moved end to end, measurable business and operating outcomes, and reusable capabilities adopted across LinkedIn's lines of business.
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.
Bachelor’s 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 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.
7+ years of experience in platform or technology adoption, including substantial experience in workflow design, scaling, and analytical or systems-oriented problem solving.

Nice-to-haves

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

Application prep

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Keywords to mirror

aigosql

Platform: smartrecruiters
Effort: medium

Benefits

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