Data Engineer

About us

Common Room is the customer intelligence platform that captures every buying signal, giving companies superpowers with AI enrichment and automation to reach the right person with the right context at the right time. 

Despite an explosion of buyer signals, companies are left struggling with siloed point solution vendors, bloated tech stacks, and unactionable "intent" data. Common Room brings together all the buying signals you care about in one place so you can track the entire customer journey, match signals to real people and accounts, take action and automate. 

We’ve raised over $50 million from top-tier investors including Greylock, Index, and Madrona to build the world's first customer intelligence platform for modern B2B companies. And we’re backed by 25+ operators from the fastest-growing companies in the world such as Figma, Stripe, Airtable, Slack, Notion, Loom, and more.

You + Common Room? You’d be joining a team that revels in asking hard questions, collaborating gladly, and making decisions quickly—a team that values simplicity, passion, trust, each other, and our customers above all.

So hello! Please, knock on our door. We'd love to meet you.

Why we need you:

Across our broad set of customer, we handle billions of events and user actions each day. You’ll have the enviable task of building efficient data pipelines that allows us to process this data for internal and customer use. You can build system to help transform this data so that customers can get insights about the impact Common Room has on their business, and also help Common Room extract product and business insights from this data. Your experience with ETL pipelines and data warehouses will help scale ours systems to keep up with our growth. You obsess about keeping things simple, efficient, and reliable. You’re a great collaborator and colleague. You strive to ensure that Common Room’s core internal capabilities, infrastructure, and systems continue to serve the needs of our customers and our team, often staying one step ahead of the product.

Outside of this, you also identify and participate in important company-building initiatives that a fast growing startup needs.

You would enjoy being a member of our team if you:

• Have 5+ years of experience, with 2 years of experience with ETL pipelines and data warehouses.

• You operate independently, but don’t hesitate to seek help and support from those around you to get your job done.

• Revel in your craft, are excited by and capable of owning large projects primarily on the backend domain

• Collaborate effectively with other experienced engineers, including application/front-end engineers

• You have good judgement on tradeoffs and tools needed to solve the problem, and don’t over index on trendy/fashionable tech. You generally prefer supported, stable technologies

• Use customer problems as input into designing systems, and find joy in creating simple, elegant solutions

• Consider observability, SLA and scalability implications, but are able to avoid premature optimization

• Feel at home with AWS, Postgres, and Node.js

• Bring your authentic self to work, and engage in candid + respectful feedback

• Build sustainably, and are capable of managing your time and priorities as best suits your needs

• Enjoy the journey as much as the destination, but never lose sight of the destination

• Demonstrate pride, ownership, and accountability for your work, and expect the same from those you work with

Our current tech stack:

We choose tools that help solve the problem at hand efficiently. For our current set of problems, we prefer to primarily use TypeScript with Node.js. We use TypeGraphQL for our API endpoints, Kafka for event processing, Apollo/Express as our web server, and Postgres (hosted on RDS) + ClickHouse as our database. We use React for front-end, and AWS for our infrastructure needs. We use Snowflake as our data warehouse.

Our values: