Staff / Principal Data Engineer, Orum
+ Equity
AI-powered Live Conversation Platform to supercharge sales
Be an early applicant
AI-powered Live Conversation Platform to supercharge sales
101-200 employees
Be an early applicant
+ Equity
101-200 employees
Company mission
Orum's mission is to bring the buzz back to the sales floor.
Role
Who you are
- 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
- Strong understanding of cloud infrastructure, distributed systems, and data platform architecture
- Ability to operate with high ownership, drive ambiguous initiatives independently, and communicate complex data concepts to technical and non-technical audiences alike
Desirable
- Deep experience operating ClickHouse at scale
- Experience owning or migrating a Looker implementation
- Experience with product analytics or customer-facing analytics platforms
- Familiarity with LLM infrastructure, embeddings, RAG systems, or AI data pipelines
- Experience with conversational, telephony, or other large-scale unstructured datasets
- Experience in high-growth startup environments
What the job involves
- 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 (~30%)
- You'll own the architecture, reliability, and evolution of our data platform, working closely with Engineering, Product, Finance, Go-to-Market, and Operations to build scalable data systems and a trusted analytics layer the whole company can use
- Define and drive Orum's data platform architecture and technical roadmap
- Build and maintain scalable ETL/ELT pipelines from PostgreSQL, application systems, and event streams into ClickHouse, BigQuery, and other analytical systems
- Design robust dbt transformation layers and reusable, well-documented data models
- Own the reliability, performance, cost, and scalability of ClickHouse and BigQuery workloads
- Build real-time and batch data pipelines for analytics, product, and AI use cases, including large-scale event, call, transcript, and conversational data
- Establish standards for data quality, testing, lineage, governance, and observability
- Own Orum's Looker environment end-to-end, including LookML models, explores, dashboards, permissions, and performance
- Develop a trusted semantic layer with consistent metric and dimension definitions company-wide
- Partner with Product, Finance, GTM, and Operations to translate business questions into scalable data models, dashboards, and self-service analytics
- Support high-impact ad hoc analysis and help establish processes for dashboard ownership, metric governance, and data literacy
Our take
While Customer Relationship Management (CRM) platforms such as Salesforce and Salesloft have undoubtedly helped shorten the sales cycle, particularly by helping generate high value leads, the onus is still on sales teams to manually reach out to potential customers.
This part of the sales process has long been taken at face value, despite how much time sales agents lose by calling bad numbers, reaching voicemail, and navigating existing account data.
Orum is aiming to change this with an AI-powered platform that filters out poor numbers and automates voicemails. It calls multiple numbers simultaneously, all in a bid to get sales reps on live calls as quickly and often as possible. That Orum plugs into the major CRMs like Salesforce, rather than competing with them, should help its cause.
Orum’s trajectory has been very positive thus far, frequently expanding its headcount, achieving impressive Series B funding and winning a number of high-profile customers such as Salesforce partner Simplus and data protection company Clumio.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
9% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Nov 2022
$22m
SERIES B
Jul 2021
$25m
SERIES A
Total funding: $51m
Company benefits
- 100% remote since day one: Work from a location that fits your lifestyle, not one that fits a commute.
- Top-notch Healthcare, Dental & Vision insurance
- Equity options
- $1000 budget for work related equipment that is yours to keep!
- Epic offsite company retreats
- Paid Parental Leave
- Company ERG - Women Of Orum (WOO)
- Life Insurance, Accidental Death & Disability coverage
- 401K savings plan
- Orum Days Off (1st Friday of every month, two weeks off at the end of the year, and many additional observed holidays)
Company HQ
Capitol District, Austin, TX
Leadership
Jason Dorfman
(Co-Founder & CEO)Spent five years at data security company Rubrik, including a spell as Head of Corporate Sales. Advisor to Observe.ai and Koffa. Previously founded tech company Cycle Applications.
Karthik Viswanathan
(Co-Founder & CTO)Former Instructor at Stanford University's Department of Computer Science. Spent two years as CRM company Affinity's Head Of Engineering, after interning at Stripe and Mozilla.
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