Data Engineer / Scientist

Position Overview

• Location Type: Remote
• Job Type: Full-Time

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. 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

Your ability to work at the intersection of data science and software engineering while collaborating directly with customers and their data is your superpower. You’re able to leverage your strong statistical foundation to understand business needs, and to help derive meaningful insights from large amounts of data. You’re comfortable running one-off data assessments or building ML-based scoring models using data - customer obsessions is your north star as you dive deep into problems and propose novel solutions.

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 3+ years of experience building data or/and ML-based models leveraging industry best practices.
• Have exceptional SQL skills and experience with large-scale data transformation.
• Can shape the future of Common Room’s data capabilities by integrating data science into our product development process.
• Partner with customers to solve unique data challenges to optimize their workflows, and validate methodologies to develop pragmatic, scalable solutions for customers.
• Partner with the product team to convert data insights into product improvements.
• Don’t hesitate to dive into unfamiliar data and shape it to a familiar form that can be manipulated and reasoned on, and capable of making high-quality technical and non-technical tradeoffs.
• 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 in the front-end domain.
• 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. Our data is housed in Snowflake, and we use Python for data-related work. We have infrastructure capable of running ML models on AWS SageMaker or other platforms.

Our Values

• Be Customer-centric: We work backward from the needs of our customers. The crisp articulation of customer value guides our decisions.
• Strive for Simplicity: We choose