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TechLead,GTMAppliedAIandAnalytics
“Tech Lead, GTM Applied AI and Analytics at LinkedIn. Skills: Applied AI, Analytics, Machine Learning, GenAI, Agentic workflows, Predictive models, Automated systems, Technical leadership, Architecture. Architect & Build scalable data products, AI/ML models, and GenAI-powered agentic workflows. Define the technical roadmap and architecture for the GTM Applied AI pillar”
What You'll Achieve.
Transform data into proactive insights and intelligent systems that guide LinkedIn's growth and efficiency; Fundamentally change how our GTM teams operate
Industry & Context.
Solve concrete GTM business problems; Lead ambiguous, complex technical projects
What They're Looking For.
Must Have
BAS degree in a quantitative field (e.g., Computer Science, Statistics, Operations Research, Engineering) or equivalent practical experience, 10+ years of experience in data science, machine learning, or analytics engineering, Experience in Python for data manipulation (pandas, NumPy), analytics, and ML (e.g., scikit-learn, TensorFlow, PyTorch), Experience in SQL with large-scale data warehouses (e.g., Presto, Trino, Spark SQL), Experience architecting, building, and deploying machine learning models or automated data solutions into a production environment
Nice to Have
MS or PhD in Computer Science, Statistics, or a related quantitative field, Experience with GenAI technologies and frameworks (e.g., LangChain, LlamaIndex, LLM APIs), Experience with MLOps principles and tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI) for model versioning, deployment, and monitoring, Experience with modern data stack and automation tools (e.g., Airflow, Databricks, dbt), Deep 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, A passion for AI coupled with a strong, opinionated perspective on how to strategically apply machine learning to drive business decisions in a fast-moving environment, A resilient and resourceful "get-it-done" attitude, with the ability to thrive in a dynamic, fast-paced setting, Proven ability to influence a technical roadmap and lead projects in a fast-moving, ambiguous environment
What You'll Do.
Architect & Build scalable data products
and GenAI-powered agentic workflows
Define the technical roadmap and architecture for the GTM Applied AI pillar
Write production-ready Python and SQL to build and maintain automated data pipelines
and insight-delivery systems
and ML techniques to solve GTM business problems
Mentor and develop a team of data scientists and engineers
Translate highly complex technical concepts and model outputs into clear
and actionable narratives for senior leadership
Collaborate with Product
and Data Science partners to operationalize and scale models
How You'll Work.
Team & Collaboration
Partner across Sales, Customer Success, Marketing, and Engineering to create a unified understanding of GTM performance; Collaborate with Product, Engineering, and Data Science partners to operationalize and scale models from prototype to production
Communication Scope
Executive Storytelling: Translate highly complex technical concepts and model outputs into clear, concise, and actionable narratives for senior GTM and Operations leadership
Process & Methodology
Lead ambiguous, complex technical projects from 0 to 1, Lead projects in a fast-moving, ambiguous environment
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