Data is the backbone of both innovation and decision-making at Pinterest. We have over an exabyte of data, 400k+ data tables, and 1000+ employees issuing 3M+ queries to our data warehouse per month. Data is used across most disciplines and use-cases across Pinterest, including but not limited to training machine learning models, building company forecasts, decision making for what experiments are shipped, OKR/goal setting, and many more use-cases across sales, finance, marketing, engineer, product, design, analytics, and data science.

As we continue to innovate and grow our business, we need to not only have a world class data warehouse, but also democratize the ability to get insights and visualizations from the data warehouse by making it simpler, faster, and trustworthy.

We are looking for an experienced and highly capable Product Manager with Data Warehouse and Business Intelligence expertise to help us drive the next step function of analytical velocity at Pinterest.

What you’ll do:

• Gather feedback from customers and platform teams on their vision, use cases, requirements, and pain points with respect to the data needed for product development and business operations.
• Create and drive the multi-year product vision, roadmaps and specifications for investments in Data Warehousing and Business Intelligence (partnering with Eng), and the relevant tooling that powers data analysts, data scientists, and developer's interactions with these. Closely collaborate with customers and platform teams to review, validate, prioritize and make any tough trade-offs. 
• Drive an innovation agenda in partnership with Data Science to invest in higher-risk/higher-reward opportunities to deliver step-functions in data quality and analytics velocity. Have your finger on the pulse of emerging technologies and architectures to bring applicable ideas to Pinterest.
• Drive evangelism, adoption, and customer satisfaction of our data investments through closer partnership with your stakeholders ensuring that we are building the right infrastructure and platform solutions for the problem the teams encounter.
• Manage the entire product life cycle, whether decisions require reinvestment, transitioning to maintenance or product retirement.
• Measure and improve analytical velocity. Furthermore, find mechanisms to quantify how improvements to data velocity lead to product improvements and innovation.
• Help solve some immediate business critical problems in data warehousing 
• Simplify: Ensure the majority of queries are run on top of a small set of tables that have been certified to be trustworthy
• Scale: Find mechanisms to ensure that as the number of people using the data-warehouse grows, we have the proper mechanisms to maintain quality, documentation, schema design, and more
• Democratization & Self-Sufficiency: Develop the required tooling to reduce the reliance on analysts and data scientists for analytical needs

What we’re looking for:

• 7+ years combined industry plus post-graduate experience in a deeply technical and analytical space 
• 5+ years experience in product management or a similar role
• Track record for execution and delivery of engineering or analytical velocity outcomes
• In-depth understanding of data warehousing, and big data-query tooling
• Strong technical breadth and judgment - ability to quickly ramp up and go deep on a range of technologies, ability to identify technical risks and tradeoffs in order to build a stack that works for Pinterest
• Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)
• Comfort with a fast-changing environment and ability to manage ambiguity
• Exceptional communication skills and ability to work cross-functionally to identify opportunities and deliver solutions
• Exceptional relationship-building skills, organizational awareness, and ability to persuade others to accomplish program objectives while holding yourself and your team to a high standard of accountability

Relocation Statement:

•  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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