At Teachers Pay Teachers (TpT), we're unlocking the power of educator-created content. More than 3 out of 4 teachers in the U.S., Canada, and Australia come to TpT every year to get teacher-tested, engaging, and rigorous materials. What began as a humble exchange for teachers looking to share lesson plans has since exploded into a massive online marketplace where teachers have created 4 million resources for all aspects of PreK-12 education. More than six million educators worldwide (including teachers, administrators, and parents) have downloaded TpT resources more than a billion times. According to Fast Company, Teachers Pay Teachers is one of the top 50 Most Innovative Companies in the world! If you haven't heard of TpT yet and want to learn more, just ask a teacher.
The Platform engineering teams are at the core of TpT Engineering. We build the infrastructure, services and tooling that power our rapidly growing TpT marketplace. In this role, you will be supporting and growing two teams that focus on internal users mostly outside of Engineering -- Data Engineering and Internal Tools.
As manager for Data Engineering, you will be growing and supporting that team’s scope and technical maturity, and driving their roadmap and philosophy. Data Engineering enables TpT’s Analytics, Product, Data Science, Marketing, and other teams to be data-driven by ensuring reliable, efficient, accurate, and curated data. At the same time you will be the founding manager for a new Internal Tools team, responsible for custom tools used by Product Managers, Sales and Operations teams, and other internal stakeholders who keep TpT running smoothly.
In this role you will:
Lead, recruit, and manage software and data engineers from entry-level to expert level
Provide expertise in data warehousing, systems integration, and rapid software development
Support team members with architecture-level and code-level feedback
Manage stakeholder relationships and dependencies, and working with technical leads on your teams to determine priorities and requirements
Qualities for a successful candidate:
At least one year of engineering management experience leading high-performing, results-oriented teams
Track record of successfully developing the careers of direct reports
Comfortable with lean engineering and project management practices with a track record of successfully managing and delivering several large projects
Expertise with modern data warehouse design patterns and tools
Able to proactively identify ways in which to improve the quality, timeliness and reliability of data
Experience with rapid application development and deployment, including continuous integration and deployment pipelines
Enjoys working collaboratively with peers across business and engineering teams
Strong ability to evaluate technical tradeoffs
Well formed opinions on quality and maintainability of technical systems
Interest in working in a fast paced tech and product oriented company
Extra credit for experience with:
Experience with technologies we use in our data stack: Stitch, BigQuery, Google Analytics, dbt, Airflow, Salesforce, Looker
Experience with technologies we use in our product stack: Node.js, React, Kubernetes, Docker, Terraform, Chef
Experience with Ed-Tech or online marketplaces
Open Source or professional community contributions