About the Role
As a Founding Fullstack Engineer, you will report directly to the CTO and lead the development of our user-facing product. This is a high-impact role where you will hold a significant ownership stake in the company and lead the 0-to-1 build of our platform. You will work closely with our customers to translate their needs into a world-class product, while simultaneously shaping our engineering culture and technical direction from the ground up.
What You Will Do
- Build the Core Product: Own the end-to-end delivery of our user-facing platform, turning complex requirements into a clear, functional product-from UI components to the APIs and data models that support them.
- Architect for Scale: Design and implement a scalable frontend architecture capable of handling high-performance visualizations and massive datasets.
- Rapid Prototyping & Iteration: Build and refine new ideas quickly, maintaining a high bar for code quality, system performance, and UI/UX consistency.
- Define Engineering Culture: As a founding hire, directly influence the team’s technical standards, development workflows, and hiring processes.
Qualifications
- 5+ years of experience building production backend services (Python, Go, or Node.js) and APIs
- 2+ years of experience building web applications with React and TypeScript
- Experience with AWS or GCP in production environments
- Strong CS fundamentals and ability to make pragmatic system design tradeoffs
- Demonstrated ability to own features end-to-end, from scoping through deployment
- Ability to thrive in fast-paced, dynamic environments and navigate ambiguity.
- Bonus: Experience with ML pipelines, LLM fine-tuning, or data platform infrastructure
About Harell Data
AI has transformed digital industries, but progress in the physical sciences — drug discovery, materials science, climate modeling - is stuck. The bottleneck isn't compute or algorithms. It's data. The most valuable scientific datasets are locked away in silos, unstructured, and hard to access.
We're fixing that. Harell Data is a managed platform where organizations can securely share proprietary datasets and train models on high-performance GPUs - all in one place. Dataset owners can share their data for model training without giving up control of it - trainers get access to compute against the data, not the data itself. Think of it as the infrastructure layer that turns scattered scientific data into domain-specific foundation models.
