Revolutionizing business intelligence in higher education with AI agents. Backed by a16z Speedrun, Reach Capital, and JFF Ventures. Backed by a16z speedrun.
About the role
As a Full Stack Engineer, you'll work across our entire stack with our CTO ( Nikki ) and the rest of our engineering team — from the React frontend to the Node/TypeScript backend — to build the product surface where institutions interact with their data and AI agents. This is a 0 → 1 opportunity to ship features end-to-end on a product that moves institutional data at scale, runs privately hosted frontier models, and delivers low-latency insights to non-technical users making real decisions about student outcomes.
What they're looking for
- Strong full-stack background — 4-6 years building and shipping production web applications across the stack, comfortable moving between frontend and backend in the same week
- Fluent on the frontend — Solid experience with a modern frontend framework (React preferred) and an eye for building clean, intuitive interfaces for real users
- Solid on the backend — Experienced building and operating production backend services and APIs, ideally in Node.js / TypeScript, with a good grasp of databases and data modeling
- Comfortable with data — You've worked with relational databases and APIs in production. Experience with analytical or columnar databases (DuckDB, BigQuery) is a strong plus
- Curious about AI integration — You don't need to be an ML engineer, but you're excited to integrate LLMs and models into a product and learn what makes inference reliable and fast at scale. Prior experience wrapping models or third-party APIs is a bonus
- High agency — You take ownership, drive features from blank page to production, and don't wait to be told what to do next. You communicate your reasoning clearly and know when to move fast versus when to align first
More about this role
At Straia , we're building the AI-native intelligence layer for colleges and universities.
Today, colleges run on dozens of disconnected systems, forcing staff to spend hundreds of hours manually reconciling data, compiling reports, and tracking down insights. Straia changes that. We unify institutional data and layer on AI agents that answer questions, generate insights/visualizations, and automate repetitive workflows, transforming how colleges operate.
Over time, Straia will evolve into the core intelligence layer for institutional operations, where every function, from student advising to admissions to budgeting and resource planning, is supported by collaborative AI agents that understand each institution's unique data landscape.
We recently raised our pre-seed from a16z Speedrun , Reach Capital , and JFF Ventures , and are now hiring a Full Stack Engineer to help build the product that institutions use to interact with their data every day.
As a Full Stack Engineer, you'll work across our entire stack with our CTO ( Nikki ) and the rest of our engineering team — from the React frontend to the Node/TypeScript backend — to build the product surface where institutions interact...
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