Job Description
Title: Senior Manager, Product Insights
New York City
The worldwide data management software market is massive (IDC forecasts it to be $138 billion by 2026!). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.
Senior Manager, Product Insights
The Senior Manager, Product Insights will be cross-cutting and focused on developing a deeper understanding of product and feature utilization on consumption and other core business metrics. Broadening our view into attribution by product feature via causal inference models, better identifying health (regression detection, connection storms), are examples of the work that would fall to this pillar. These insights will be leveraged not only for Product and R&D related endeavors such as fleet-level regression detection, but also for cross-functional use-cases such as customer-journey insights. This role requires someone with strong analytical, technical, and statistical skills, with prior experience managing technical teams, and who is comfortable partnering with stakeholders at all levels of the organization and across multiple functional areas in a fast-paced, challenging environment.
This role can be based out of our New York City office or remotely in the North America region.
Responsibilities
- Develop a deep understanding of what types of features and products customers are using across different stages of their MongoDB lifecycle, find pain points, and construct sophisticated statistical models to provide actionable recommendations that improve the customer experience
- Develop a roadmap that will broaden our view into attribution by product feature via causal inference models, better identifying health (regression detection, connection storms)
- Translate insights to drive executive decision making across the business, and help define cross-functional concepts like customer journey usage phases
- Create and share measurement frameworks to measure the success of each product
- Serve as an analytical and technical thought partner to stakeholders across the product, analytics, data science teams
- Make the team more efficient: Research and implement new tooling/processes; seek out and automate existing costly manual processes
Skills & attributes
- 6+ years of hands-on analytics experience with for product and / or growth teams, ideally at a software company
- Experience hiring, nurturing and mentoring a team of statisticians/researchers
- Strong communication skills, able to translate business need to a technical roadmap and translate model output to actionable insights for senior management
- Experience developing statistical models, causal inference, and supporting experimentation efforts
- Advanced knowledge of statistical methods, techniques, formulas, and tests, experience developing causal and statistical inference models
- Advanced SQL skills and proficiency with either Python or R
- Deep understanding of SaaS products and demonstrated success of partnering with product teams to conduct a wide range of experiments
- Demonstrated ability to effectively communicate and set priorities with a variety of key stakeholders at all levels of the organization
- Effective at communicating technical concepts to non-technical audiences
- Committed to contributing to a collaborative, enjoyable, and psychologically safe work environment
- PhD or Masters in Economics, Statistics, or related field
