You will build the core product experience for a conversational analytics platform by developing user interfaces and backend systems. This includes optimizing data interaction layers, managing cloud infrastructure, and implementing AI-driven features.
About Doowii
Doowii is building a conversational analytics platform for education. We enable non-technical users to query complex datasets using natural language, accelerating decision making, data exploration, and intervention planning. Doowii sits at the intersection of data infrastructure, AI, and education.
About the Role
This role is focused on building the core product experience for Doowii users. You’ll be tackling opportunities and projects core to the Doowii interface and backend:
users asking questions
model evaluation and improvement to improve responses to those questions
systems configuration and optimization to support our responses
data structure and analysis so answers are returned accurately and quickly
What You'll Work On
Doowii engineering is critical in the end-to-end development of the Doowii platform, applications, and systems, from designing the user interface to managing our systems and infrastructure.
Frontend & UX
Build interfaces for querying and exploring data
Translate complex workflows into simple user experiences
Design and implement user interfaces (UI) and user experiences (UX)
Partner with ML, product, and frontend engineers to ship AI-driven features (LLM text-to-SQL, embeddings, feature stores, LLM-driven data modeling)
Backend Systems
Develop APIs that power real-time data interactions
Ensure performance and scalability of user-facing systems
Configure and manage Doowii’s cloud platforms (AWS, GCP)
Data Interaction Layer
Optimize how queries are executed and results returned
Design and maintain data models (star, wide-table, or Iceberg-native) to support real-time and batch analytics
Optimize storage + query performance; keep infra costs lean
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