Tech Lead, GTM Applied AI and Analytics - Mountain View
3 weeks ago
Job summary
Lensa is a career site that helps job seekers find great jobs in US We are not staffing firm or agency Lensa partners with DirectEmployers to promote this job for LinkedIn Clicking Apply Now or Read more on Lensa redirects you to job board employer site Any information collected there subject to terms privacy notice LinkedIn world s largest professional network built create economic opportunity every member global workforce Our products help people make powerful connections discover exciting opportunities build necessary skills gain valuable insights day Join us transform way world works At LinkedIn our approach flexible work centered trust optimized culture connection clarity evolving needs business This role can based either Sunnyvale San Francisco New York Chicago offices Tech Analytics team builds analytical automation foundation powers LinkedIn most important Go-to-Market decisions We partner Sales Customer Success Marketing Engineering create unified understanding GTM performance mission transform data proactive insights intelligent systems guide LinkedIn growth efficiency As Tech Lead GTM Applied AI Analytics technical authority chief architect next generation GTM data solutions hands-on leadership role player-coach spend significant time architecting solutions writing production-grade code mentoring team 3-4 data scientists analytics engineers responsible end-end technical lifecycle complex projects prototyping new AI-driven concepts deploying scalable automated systems combine analytical depth principal data scientist strategic storytelling influence GTM leadership primary goal architect build agentic workflows predictive models automated systems fundamentally change how teams operate Responsibilities Architect Build lead hands-on design development deployment scalable data products AI ML models customer health pipeline risk propensity buy GenAI-powered agentic workflows Technical Strategy define technical roadmap architecture GTM Applied AI pillar making key decisions frameworks tools MLOps practices End-to-End Automation write high-quality production-ready Python SQL build maintain automated pipelines analytics insight-delivery systems Applied Integration act subject matter expert applying modern AI LLMs techniques solve concrete GTM business problems partnership Data Science Engineering teams Technical Mentorship mentor develop team set high bar technical rigor code quality engineering best practices through lead-example approach Executive Storytelling translate highly complex technical concepts model outputs clear concise actionable narratives senior leaders CrossFunctional Partnership collaborate Product Engineering Data Science operationalize scale models prototype production ensuring reliability business impact Basic Qualifications years experience data science machine learning analytics engineering Experience Python manipulation pandas NumPy analytics scikitlearn TensorFlow PyTorch Experience SQL large-scale warehouses Presto Trino Spark SQL ,
Job description
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