At LinkedIn, we are hiring a Tech Lead to drive high-impact AI and data initiatives within our Product Operations organization. In this player-coach role, you will leverage LinkedIn's proprietary datasets to deepen intelligence, elevate product quality, and build scalable AI/ML models and automated data systems.
What You'll Do
- Lead the hands-on design, development, and deployment of scalable data products, AI/ML models, and GenAI-powered agentic workflows.
- Define the technical roadmap and architecture for the Product Operations Applied AI pillar.
- Write high-quality, production-ready Python and SQL to build and maintain automated data pipelines and insight-delivery systems.
- Serve as the subject matter expert on applying modern AI, LLMs, and ML techniques to solve Go-To-Market business problems.
- Mentor and develop a team of data analysts and engineers, setting a high bar for technical rigor and code quality.
- Translate complex technical concepts into clear, actionable narratives for senior Go-To-Market and Operations leadership.
- Collaborate cross-functionally to operationalize and scale models from prototype to production.
What We're Looking For
- 7+ years of experience in data science, machine learning, or analytics engineering.
- 7+ years of experience in Python for data manipulation (pandas, NumPy), analytics, and ML (e.g., scikit-learn, TensorFlow, PyTorch).
- Expertise in SQL with large-scale data warehouses (e.g., Presto, Trino, Spark SQL).
- 3+ years of experience with GenAI technologies and frameworks (e.g., LangChain, LLM APIs).
- 3+ years of architecting, building, and deploying machine learning models and/or automated data solutions in production.
- BA/BS in Computer Science, Statistics, Operations Research, Engineering, or a related quantitative field (or equivalent practical experience).
Nice to Have
- MS or PhD in Computer Science, Statistics, or a related quantitative field.
- Experience with modern data stack and automation tools (e.g., Airflow, Databricks).
- Proven ability to lead ambiguous, complex technical initiatives from zero to one.
- Demonstrated experience influencing technical roadmaps in fast-moving environments.
- Resilient, resourceful, and self-directed with a strong bias for action.
- Passion for AI with a clear, strategic perspective on applying machine learning to drive business decisions.
Technical Stack
- Languages: Python, SQL
- Libraries & Frameworks: pandas, NumPy, scikit-learn, TensorFlow, PyTorch, GenAI frameworks (e.g., LangChain, LLM APIs)
- Tools: modern data stack and automation tools (e.g., Airflow, Databricks)
Team & Environment
This is a player-coach leadership role within the Product Operations organization, leading a team of 3–4 data scientists and analytics engineers.
Benefits & Compensation
- Compensation: $150,000 to $243,000
- Company culture built on trust, care, inclusion, and fun.
- Commitment to providing transformational opportunities by investing in employee growth.
Work Mode
This position operates on a hybrid schedule. Offices are located in Sunnyvale, CA, San Francisco, CA, New York, NY, and Chicago, IL.
LinkedIn is proud to be an equal opportunity employer. We seek candidates with a wide range of perspectives and backgrounds and consider 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.
