Senior Manager, Data and AI Products

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. This role can be based in either our San Francisco Sunnyvale Bellevue Chicago or New York offices.

The Senior Manager Data & AI Products will lead a high-performing team of data professionals while remaining hands-on in the technical delivery of next-generation GTM data and AI products for LinkedIn Marketing Solutions.

In this role you will drive the complete technical lifecycle from initial prototyping to the deployment of scalable automated systems. Success requires a unique blend of expertise in data science analytics and agentic AI coupled with a strong product sense and the communication skills needed to influence cross-functional stakeholders. Your core mission is to architect and build the automated data solutions agentic workflows and AI models that will fundamentally transform GTM operations and drive measurable business ROI.

Responsibilities:

• Drive the design and end-to-end deployment of scalable data products AI/ML models (e.g. customer health propensity and forecasting) and GenAI-powered agentic workflows remaining hands-on in technical delivery.
• Define the technical roadmap and architecture for the GTM Data Products pillar making key decisions on frameworks tools and MLOps practices.
• Mentor and develop a team of data scientists analytics engineers and analysts setting a high bar for technical rigor code quality and engineering best practices.
• Partner with GTM Operations & Sales leadership to identify key business opportunities and recommend technical solutions to maximize ROI.
• Collaborate with Technology Teams Product Engineering and Data Science partners to operationalize and scale solutions ensuring reliability and business impact.
• Translate highly complex technical concepts and model outputs into clear concise and actionable narratives for senior GTM and Operations leadership.
• Act as the subject matter expert in applying modern AI LLMs and ML techniques (e.g. RAG Classification Models Regression Models etc.) to solve concrete GTM business problems and drive measurable business ROI in partnership with central Data Science and Engineering teams.
• Design and lead experimentation frameworks (e.g. A/B Testing) to measure the business impact of AI products models and workflows.

Qualifications :

Basic Qualifications:

• 10 years of experience in data science data product management analytics engineering or similar role. 
• 3 years of experience as a people manager.
• Experience in advertising/media and/or go-to-market.
• Experience in Python for data manipulation (e.g. Pandas NumPy) analytics and ML (e.g. Scikit-learn TensorFlow PyTorch).
• Experience architecting building and deploying machine learning models and/or automated data solutions into a production environment.
• Experience in SQL with large-scale data warehouses (e.g. Presto Trino Spark SQL) and using and developing reports metrics and dashboards.
• Experience with modern data stack and automation tools (e.g. Airflow Databricks dbt).
• BA/BS/MS degree in a quantitative field (e.g. Computer Science Statistics Operations Research Engineering) OR equivalent practical work experience.

Preferred Requirements:

• Experience with sales planning and/or customer segmentation. 
• A passion for AI coupled with a strong perspective on how to strategically apply machine learning to drive business value.
• Experience with MLOps principles and tools (e.g. MLflow Kubeflow SageMaker Vertex AI) for model versioning deployment and monitoring.
• Experience with GenAI technologies and frameworks (e.g. LangChain LlamaIndex LLM APIs).
• Understanding of GTM financial and operational metrics (e.g. pipeline ACV margin LTV CAC Customer Health).
• A self-directed intellectually curious mindset with a proven ability to lead ambiguous complex technical projects from 0 to 1.
• Proven ability to influence a technical roadmap and lead projects in a fast-moving environment.

Suggested Skills:

• Python
• SQL
• Data Science
• Machine Learning
• Building and Deploying Models

LinkedIn is committed to fair and equitable compensation practices.       

The pay range for this role is $162000 to $265000. 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