About Playbook:

Playbook leads at the intersection of the creator economy and digital fitness — our goal is to build the world’s most incredible user experience and marketplace where a user can access the content, knowledge, and community from today’s best content creators in fitness, wellness, and sports for one low subscription cost via the Playbook consumer app (4.9/5 stars with over 20,000 organic reviews)

We accomplish this by building the world's best tools for creators so they can publish content on their terms and have full ownership over their business. We built a “business in a box” via our Playbook Creator app that serves as an end-to-end business tool — content creation, analytics, community engagement, etc.

We believe creators are the most valuable piece of the supply chain in digital fitness and wellness, so we aim to maximize their ownership and income potential by empowering them with world-class technology, data, and services.

Playbook Funding:

Playbook has raised from top VCs and many high-profile executives and founders such as Michael Ovitz (founder of CAA), Ed Baker (former head of growth at Uber), Daniel Graf (former head of product at Uber), Ryan Hoover (Product Hunt founder), Alex Chung (Giphy founder), Renaud Visage (Eventbrite co-founder), Melody McCloskey (StyleSeat founder), and more.

About the Role:

We are seeking an experienced data leader who is obsessed with solving real business problems with data. You will be the first full time data hire at the company, meaning there is opportunity to be a leader in the company and sit on the management team over time. You'll be expected to sit across many parts of the organization supporting both product management and sales/business teams. You will both work with internal teams to solve their needs as well as develop your own projects to drive insights across our team.

Requirements:

• 5+ years of experience working with data warehouses, data monitoring, and building, maintaining and scaling ETL pipelines, architectures and data sets
• Strong knowledge of data modeling, data warehousing, and ETL processes
• Expertise in Python and SQL
• Strong experience with GCP (BigQuery, Dataflow, Dataproc)
• Experience with visualization software: Metabase, Looker, Tableau, etc.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with virtualization/container abstractions & orchestration: Kubernetes, Docker, etc.
• Experience with setting up integrations to CRMs (Hubspot) and Automation (Zapier)
• Familiarity with frontend web framework: React, NodeJS
• Strong analytical skills related to working with structured and unstructured datasets and ability to perform data extraction, cleaning, analysis and presentation for medium to large datasets
• Demonstrated ability to translate business requirements into technical solutions and actionable insights, while leveraging project management tools to successfully deliver data projects.
• Excellent communication skills in both verbal and written English.
• Proactive and self-motivated, and can work autonomously with strong organizational and time management skills
• Start-up experience a huge plus

Benefits:

• Fully remote role in a company with a strong international culture with members in the U.S., Poland, Spain, Denmark, Netherlands, and more.
• Competitive salary (including equity and benefits)
• Apple equipment