Data Analyst / Engineer

Common Room is the AI GTM Platform that empowers your teams with AI agents built on complete buyer intelligence. We unify every signal across the full buyer journey into one continuously-updated, person-level view—so your team knows exactly who to target and why, what to say, and when to reach out.

GTM teams are drowning in tool sprawl, fragmented data, and AI that doesn't deliver. Common Room replaces your disconnected stack with one platform built for scale and complexity. We bring together data, orchestration, and execution in one system built for orgs of 75-1000+.

We've raised over $50 million from top-tier investors including Greylock, Index, and Madrona, and we're backed by 25+ operators from companies like Figma, Stripe, Airtable, Slack, Notion, Loom, and more.

Across our broad set of customers, we handle billions of events and user actions each day. You’ll have the enviable task of transforming this data into clear, actionable insights for both internal teams and our customers.

You’ll partner closely with stakeholders across Product, GTM, and Leadership to understand their needs, define metrics, and build datasets and dashboards that drive decision-making.

You can build systems 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 generate and communicate product and business insights from this data.

Your experience with ETL pipelines, data warehouses*, and modern analytics tooling (e.g. dbt)* will help scale our systems to keep up with our growth. You obsess about keeping things simple, efficient, and reliable.

You design and maintain clean, scalable data models that serve as the foundation for analytics and reporting.

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.

You care deeply about data quality, metric definitions, and making data accessible to the broader team.

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

• 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

• Partner effectively with non-technical stakeholders (Product, GTM, Leadership) to define metrics, answer business questions, and deliver insights through dashboards and analyses

• Build and maintain dashboards and reporting layers (e.g. Looker, Hex, Mode, or similar) that enable self-serve analytics across the company

• 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

• Have experience with modern data tooling such as dbt, Snowflake, and BI tools (Looker, Hex, Mode, etc.)

• 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. We use Snowflake as our data warehouse and dbt for data modeling.

The compensation range for this position is between $150,000 and $210,000 (plus equity) depending on experience.

• Be Customer-centric - We work backwards from the needs of our customers. The crisp articulation of customer value guides our decisions.

• Strive for Simplicity - We choose simplicity over complexity whenever possible. We seek to identify and understand the essential quality of what we are building.

• Make it Happen - We are quick to take the first step, and prioritize decisiveness over fear of making a mistake. We don’t confuse motion for movement and we measure ourselves on impact over actions.

• We’re In this Together - We measure personal success by the success of our customers and teammates. Relationships matter, and the strongest ones are built on the foundations of trust, enablement, and transparency.