Describe the role

What makes a good description

Investing in a detailed, thoughtful description prevents candidate confusion and helps you make better matches. A good description should answer these candidates questions:

• Why the role is important

• What the role's objective is

• Who the role interacts with

• Where the role is located (geographically and within the organizational structure)

• How the role will be achieve its objective

Example: Engineering Manager (Miro)

Below is a real example for an engineering manager role in Miro's Analytics Engineering team. Miro starts by explaining why this role exists before clearly articulating what the role is all about, who the candidate will be interacting with and how Miro expects the candidate to be successful.

About the role

Data only becomes useful by the application of structure, and this person’s goal will be to help Miro build structure and usability in our data. This person will work closely with the rest of data products, along with our analytics team, to lead our Analytics Engineering in crafting and implementing the data products, tools, and educational activities which enable analytics to use data with maximum effectiveness. This role allows you to wear many hats: architect, strategist, planner, developer, discoverer, teacher. You will need to create vision, own the team's operational excellence, build, and communicate your strategy with all parts of the organization.

Example: Product Manager (Stripe)

Below is a real example for a product manager role in Stripe's Data Services team. Notice how much detail Stripe puts into this description.

What you’ll do

We are looking for a senior multifaceted product manager to help us make this possible through the Stripe Data Services product suite. This is a high-impact role which includes P&L ownership over our user-facing Data Services products (Stripe Sigma, Stripe Data Pipeline, Data Acquisition and the underlying revenue data platform) and requires heavy cross-product collaboration across Stripe’s existing portfolio of Payments and Revenue and Financial Management products. Giving our users the tools necessary to consolidate and organize their revenue data and to find and effectively communicate the growth narrative in their financial data can be the difference between a startup’s ability to raise the next round of funding or not. As the Data Services Product Manager, you will focus on deeply understanding the needs of our users (from Startups to large global enterprises) and will lead the strategy, execution and revenue growth for our Data Services product suite. You will have the opportunity to create an opinionated revenue data mart and pair it with a data management and analytics experience, creating a product which excels where general purpose data warehouses and BI solutions fall short in empowering technical and non-technical business users alike without the need for a large upfront investment.

Because of Stripe’s large user base and global reach, your work will impact millions of businesses all over the world, including many of the world’s largest and fastest growing technology companies who depend on our existing reporting & analytics product suite (Stripe Sigma, Stripe Data Pipeline and Stripe Financial Reporting) to run their businesses. You will also have the opportunity to support internal customers and enable product teams like Stripe Payments, Stripe Billing, Stripe Issuing, Stripe Terminal and Stripe Capital to build and deliver compelling and actionable analytics experiences with minimal engineering investment.