Software Engineer Manager, Analytics Engineering

We are looking for a Software Engineer Manager, Analytics Engineering to help improve the quality and velocity of data science at Pinterest. You will manage a team that shapes the future of people-facing and business-facing products we build at Pinterest, by building rock solid data foundations and tooling. Your expertise will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Data Science, Data Engineering, Business Intelligence and others. The results of your work will influence and uplevel our data science and product development teams serving hundreds of millions of pinners, creators, advertisers and merchants around the world.

What you’ll do:

• Build, inspire and grow a high performance team of Analytics Engineers that are thought partners to our data science teams and build the core data foundations for our products.
• Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love.
• Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development.
• Work closely with Data Scientists and Engineers to build and prototype tools and processes that enable the self service of key data sets, insights, and metric investigations.
• Contribute to comprehensive documentation of tools and datasets.
• Think big and drive the strategy for better data quality and discoverability within Pinterest.
• Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.

What we’re looking for:

• Bachelor’s degree in computer science, a related field or equivalent experience.
• 1+ years of experience managing data functions and prioritizing projects for a team and 5+ years of experience working with data in a fast-paced, data-driven environment.
• 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); including SQL-based experience in nested data structure manipulation, windowing functions, query optimization, data partitioning techniques.
• Experience in conducting workflow orchestration; ETL / ELT with huge and complicated datasets and handling DAG data dependencies.
• Consistent track record of supplying analytics solutions to existing teams, with ability to take open ended goals and scope them into defined and impactful objectives.
• A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions.
• An accountable leader who can prioritize the most important work even when many things seem urgent or important.
  
  

Relocation Statement:

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

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1 time per month and therefore needs to be in a commutable distance from the Mexico City office.

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