Product Manager, Data Science

April 6

CB Insights

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Our platform enables the world’s most important organizations to make technology decisions quickly and with confidence.

venture capital • M&A • corporate strategy • growth equity • private equity

201 - 500

💰 $10M Series A on 2015-09

Description

• At CB Insights, we build products that enable the world’s leading companies and investors to make smarter technology decisions. • Our system retrieves massive amounts of structured and unstructured data. We use scientific methods to extract insights from that data, which our clients use to answer their most important questions. • As our new Product Manager of Data Science, you’re key to bringing that promise to life. • You collaborate across teams to discover new opportunities to apply our data science expertise. • You’re an expert in the drivers of our business and prioritize meaningful customer problems. • And you’re supercharging a formidable R&D team with clear ownership and passion to form the future.

Requirements

• At least 3 years of product management experience, and at least 5 years total professional experience in a big data environment. • Excellent at data analysis; highly proficient with SQL • Prior experience in a product or analytical role connected to data science • An understanding of artificial intelligence concepts include machine learning and natural language processing • Deep user empathy with tools for continuous discovery • Rigorous decision quality. Ruthlessly prioritizes opportunities for commercial value. Structured, deductive, and quantitative thinker. • Experience defining and realizing developer and user engagement product strategies with clear metrics • Entrepreneurial. Has shipped products from ideation through delivery while in rapid growth mode. Strong bias to execution. • Effective and compelling communicator, proven with customers and executives • Sought after cross-functional partner

Benefits

• In addition to base salary, this role is also eligible for a bonus opportunity. • A little bit about our pay practices: Typically, we will hire at our Hiring Target, but actual starting pay may be based on several factors, including, but not limited to, market rate, the qualified pool of candidates, internal compensation, candidate experience, and budgetary constraints.