Orum leverages AI to detect voicemails, filter out bad numbers, and navigate phone directories to get reps into live conversations quickly. Backed by Craft Ventures.
About the role
We're building the next generation of Orum's data platform, including a modern analytics stack powered by ClickHouse, BigQuery, dbt, and Looker. This platform supports customer-facing analytics, internal business intelligence, product decision-making, and future AI-powered products.
What they're looking for
- 8+ years of experience in Data Engineering, Analytics Engineering, Platform Engineering, or related data roles
- Deep expertise in SQL, data modeling, dimensional modeling, and analytics-oriented schema design
- Hands-on experience with dbt and modern ELT architectures
- Strong experience with analytical databases and warehouses such as ClickHouse and BigQuery
- Experience owning or administering Looker in production, including LookML development and performance optimization
- Experience with streaming technologies such as Kafka, Pub/Sub, or similar
More about this role
Orum ’s AI-powered suite frees salespeople to do what they do best: connect, listen, and sell. Our products gives sales teams everything they need to connect faster, sell smarter, and grow revenue. From intelligent dialing and real-time conversation insights to AI-driven coaching and virtual sales floors, Orum is powering thousands of sales teams to have more meaningful conversations and turn every call into measurable impact. Companies who use Orum connect 5x faster and book millions in new pipeline every month.
We are a team of builders and dreamers creating a future where work feels more meaningful and connected. If you’re excited to change how the world sells, join us. For more information, visit https://www.orum.com/
We're building the next generation of Orum's data platform, including a modern analytics stack powered by ClickHouse, BigQuery, dbt, and Looker. This platform supports customer-facing analytics, internal business intelligence, product decision-making, and future AI-powered products.
We're looking for a Principal/Staff Data Engineer to own this ecosystem end-to-end, a foundational data hire with broad responsibility across data engineering (~70%) and analytics/BI...
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