Decagon
Business Operations, Analytics Engineer
About this role
Decagon is seeking an Analytics Engineer to build foundational data infrastructure for their conversational AI platform. You'll partner with engineering and leadership to create reliable datasets that drive strategic decisions across growth, GTM, pricing, and product.
What you'll do
- Build data infrastructure from scratch using Python and SQL across multiple databases
- Partner with engineering to instrument product surfaces and ensure clean event/usage data
- Parse complex engineering and AI logs to construct trustworthy datasets
- Translate business scenarios into measurable data problems for cross-functional teams
- Scale data infrastructure as company and data volumes grow
- Turn data outputs into key findings for leadership decision-making
What they're looking for
- SQL (expert level)
- Python
- Business Intelligence tools (Hex, Looker, or similar)
- Database design and table building
- Data pipeline development
- Clickhouse (preferred)
- Change Data Capture (CDC)
- Query and database performance optimization
Benefits
- Medical, dental, and vision coverage for you and family
- Life insurance and disability benefits
- 401K retirement plan
- Parental leave and fertility benefits through Carrot
- Monthly wellness and lifestyle stipend
- Daily office lunches and snacks
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Decagon
Decagon builds enterprise-grade conversational AI platforms that enable organizations to deploy AI agents for business impact. The company is hiring Strategic Solutions Engineers, Customer Engineers, Platform Engineers, and systems-focused engineers to deliver AI implementations, build internal infrastructure, and establish security practices across their growing platform.
View all jobs at DecagonLikely interview questions
- Walk us through a time you built data infrastructure from scratch in an early-stage or high-growth environment—what were the key challenges?
- How do you approach translating ambiguous business questions into concrete data problems?