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Tech Lead, GTM Applied AI and Analytics

United States

United States

Über

Job Location This role can be based in Sunnyvale, San Francisco, New York, or Chicago offices. The work is hybrid, performed both from home and from a LinkedIn office on select days, as determined by business needs.
Team & Role Overview The Tech & Analytics team builds the analytical and automation foundation that powers LinkedIn's most important Go‑to‑Market decisions. As the Tech Lead for GTM Applied AI & Analytics, you are the technical authority and chief architect of our next generation of GTM data solutions. This hands‑on leadership role involves architecting, writing production‑grade code, and mentoring a team of 3‑4 data scientists and analytics engineers.
Responsibilities
Architect and build scalable data products, AI/ML models, and GenAI‑powered agentic workflows.
Define the technical roadmap and architecture for the GTM Applied AI pillar.
Write high‑quality production‑ready Python and SQL for automated data pipelines, analytics, and insight delivery.
Apply AI, LLMs, and ML techniques to solve GTM business problems.
Mentor and develop a team of data scientists and engineers, emphasizing technical rigor and best practices.
Translate complex technical concepts and model outputs into concise narratives for senior GTM leadership.
Collaborate with Product, Engineering, and Data Science partners to operationalize & scale models from prototype to production.
Qualifications Basic Qualifications
BA/BS degree in a quantitative field or equivalent experience.
10+ years in data science, machine learning, or analytics engineering.
Proficiency in Python (pandas, NumPy, scikit‑learn, TensorFlow, PyTorch).
Experience with SQL on large‑scale data warehouses.
Experience architecting, building, and deploying ML models or automated data solutions in production.
Preferred Qualifications
MS or PhD in Computer Science, Statistics, or related field.
Experience with GenAI technologies (LangChain, LlamaIndex, LLM APIs).
Experience with MLOps principles and tools (MLflow, Kubeflow, SageMaker, Vertex AI).
Experience with modern data stack and automation tools (Airflow, Databricks, dbt).
Deep understanding of GTM financial & operational metrics.
Self‑directed, intellectually curious mindset to lead ambiguous, complex projects.
Passion for AI to strategically drive business decisions.
Resilient, resourceful attitude for fast‑paced environments.
Proven ability to influence a technical roadmap and lead projects in ambiguity.
Suggested Skills
Python
SQL
Data Science
Machine Learning
Building and Deploying Models
Compensation LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $138,000 to $225,000. Compensation packages vary by ability, experience, certifications, and office location. The total compensation may also include annual performance bonus, stock, benefits, and other incentive plans.
Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender identity, sexual orientation, citizenship, or any other legally protected class.
Reasonable Accommodation LinkedIn is committed to offering an inclusive and accessible experience for all job seekers. If you need a reasonable accommodation, connect with us at accommodations@linkedin.com. Examples include:
Documents in alternate formats or read aloud.
Interviews in an accessible location.
Being accompanied by a service dog.
Presence of a sign language interpreter.
Legal & Disclosure Statements LinkedIn will not discriminate against employees or applicants who inquire about compensation. Restrictions on disclosure apply only in certain circumstances.
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider qualified applicants with arrest and conviction records.
As a federal contractor, LinkedIn follows Pay Transparency and non‑discrimination provisions.
Global Data Privacy Notice for Job Candidates: Please follow the link to access the document that provides transparency around how LinkedIn handles personal data of employees and job applicants.
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United States

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English

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