Coatue Management L.L.C.
Senior Manager, Infrastructure Data Science
Coatue Management L.L.C., San Francisco, California, United States, 94199
RDQ225R487Job Description
Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions.At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world.The impact you will have:Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness.Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies.Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity.Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance.Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality.Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions.What we look for:10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies5+ years of management experience hiring and developing teamsExperience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environmentKnowledge of statistics and rigorous analytical techniquesExperience with data visualization tools, knowledge of data engineering, data modeling, and big data technologiesLeadership skills and experience to lead across functional and organizational linesStrong communication skills to explain and evangelize analytics and data science to executives and the senior management teamBias to action and passion for delivering high-quality data solutionsA passion for problem-solving and comfort with ambiguityMS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)
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Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions.At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world.The impact you will have:Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness.Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies.Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity.Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance.Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality.Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions.What we look for:10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies5+ years of management experience hiring and developing teamsExperience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environmentKnowledge of statistics and rigorous analytical techniquesExperience with data visualization tools, knowledge of data engineering, data modeling, and big data technologiesLeadership skills and experience to lead across functional and organizational linesStrong communication skills to explain and evangelize analytics and data science to executives and the senior management teamBias to action and passion for delivering high-quality data solutionsA passion for problem-solving and comfort with ambiguityMS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)
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