Describe the team

Introduce the team

Candidates want to know who they would be working with and where they would fit in your organization. Roles that clearly explain these details about the team see more engagement:

• Team name

• Who the team reports to

• Who is on the team

• What the team is responsible for

• How the team works

• What tools the team uses (for technical roles)

Example: Engineering Manager (Miro)

Below is a real example for an engineering manager role in Miro's Analytics Engineering team. Notice how Miro explains the team's responsibilities, objective, working style and reporting lines.

About the team

The Data Products team is part of the larger Data Engineering and Science team, and has one simple mission: to enable everyone at Miro to use data by making the right data assets available, with confidence, and to provide the tools to work with data products effectively. We are a multifunctional team passionate about building capabilities across the data engineering space: integration, quality management, tooling, discovery, and data modeling. Our objective is to build the data foundation for all of analytics to operate from.

Example: Product Manager (Stripe)

Below is a real example for a product manager role in Stripe's Data Services team. Stripe leads with the huge potential impact of the role before explaining the team's responsibilities in detail.

About the team

Stripe is working on making the global financial system programmable. This is one of the largest opportunities for impact in the history of computing, on par with the rise of modern operating systems. As part of this effort, it is important to not only help users programmatically move funds, but to help automate and scale revenue acquisition, revenue management, billing, revenue accounting, and revenue data organization and management. Customers need centralized visibility into what their growth drivers are and how to optimize the generation, collection, retention, recovery, accounting and analysis of revenue and overall financial health. Data Services is the backbone that ties all of this together by providing pathways for users to bring their data into Stripe, combine it with first-party sources, and generate reports and insights.