Marketing Technology Senior Manager, Marketing Agents

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 selected days, as determined by the business needs of the team. 

The Marketing Technology & Operations team builds the systems, processes and productized tooling that enable LinkedIn Marketing to plan, activate, measure and scale brand and product campaigns. As we embed AI into marketing workflows, we’re launching a dedicated Marketing Agents effort to design and operate a safe, scalable agent ecosystem that automates routine work, accelerates insight-to-execution, and amplifies strategic marketing judgment.

We’re hiring an experienced, hands-on Senior Manager, to enable the design, delivery and continuous optimization of our end-to-end Marketing Agent ecosystem. You will be the center of defining agent responsibilities and interfaces, driving agent development with engineering, and operationalizing agents inside marketing campaign creation and execution. This role sits at the intersection of AI product development, marketing operations, and campaign execution: you’ll translate marketing needs into agent requirements, build reliable data & model pipelines, and ensure agents measurably improve speed and marketing outcomes.

Responsibilities

• Lead the end-to-end design, build and rollout of marketing agents (LLM-based agents, orchestrators, micro-agents) that automate and augment campaign planning, creative generation, campaign activation, and measurement.

• Partner tightly with engineering and ML teams to define agent architectures, APIs, data contracts, evaluation metrics, retraining cadence and monitoring/playback for production agents.

• Define the product roadmap for the agent ecosystem: agent personas, capabilities, success metrics (speed, quality, ROI), and a prioritized backlog that balances experimentation and production hardening.

• Own the end-to-end campaign integration surface — from marketing brief → creative variants → activation → reporting — ensuring agents support real campaign flows and SLAs.

• Build operations playbooks, runbooks, and guardrails (privacy, Trust & Safety, bias mitigation, escalation paths) so agents operate safely and predictably across owned channels and product marketing.

• Work with Marketing Ops and Business Operations to embed agents into operational processes (onboarding, QA, campaign handoffs) and to measure cost / time savings and downstream marketing lift.

• Drive rigorous experimentation and measurement: A/B tests, holdouts, and causal attribution tying agent interventions to marketing KPIs.

• Be the go-to domain expert for “full-stack marketer” scenarios — bring marketing strategy, creative, media and measurement needs into agent behavior design.

• Evangelize agent capabilities, partner with cross-functional stakeholders (creative, brand, demand, analytics, legal, Trust) and enable adoption via playbooks and self-serve tooling.
   

Basic Qualifications:

• BS degree in marketing-related field or equivalent experience 

• 8+ years of experience in marketing technology, ad-tech, marketing operations, or AI product roles.

• 3+ years leading AI/LLM/agent initiatives or ML productization projects.

• Demonstrated experience designing and shipping AI-driven products (LLMs, agents, automation) in production — including productionalizing models, instrumentation, and monitoring.

• Deep domain knowledge of marketing campaign lifecycle and systems (campaign planning, creative production, ad ops, campaign management tools, measurement/analytics).

• Demonstrated ability to work with data schemas, APIs, and cloud services.

Preferred Qualifications:

• Working knowledge of Python, SQL and ML concepts (model evaluation, retraining, data pipelines) and experience partnering with engineering teams to design solutions.

• Track record of leading cross-functional programs: aligning product, engineering, ops, legal/Trust, and marketing stakeholders to deliver complex systems.

• Excellent product judgment and analytical skills to define success metrics, design experiments, and interpret results quickly.

• Strong written and verbal communication skills with ability to write clear agent specs, runbooks, and influence senior stakeholders.

• Prior experience with agent frameworks or LLM toolkits (e.g., LangChain, LlamaIndex, or equivalent) and prompt-engineering patterns.

• Experience building orchestration layers or micro-agent architectures, or ML/Ops pipelines for continual model improvement.

• Background in ad-tech, DSPs, bidding/allocation logic, or core marketing platforms (CMT, CDP, marketing automation).

• Experience working with Trust & Safety, privacy-by-design, and regulatory constraints in AI products.

• Hands-on experience running marketing experiments that proved meaningful conversion or brand lift.

Suggested Skills: 

• AI Agent productization
• Stakeholder management
• Marketing Campaign Lifecycle and systems knowledge
• Effective communication
• Content Creation or development

 

LinkedIn is committed to fair and equitable compensation practices.  

The pay range for this role is $149,000 to $233,000. 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 https://careers.linkedin.com/benefits. 

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