Forward Deployed Application Developer

About Us We are Sila, a next-generation battery materials company. Our mission is to power the world’s transition to clean energy. To create this future, our team is building a better lithium-ion battery from the inside out today. We engineer and manufacture ground-breaking battery materials that significantly increase the energy density of batteries, while reducing their size and weight. The result? Smaller more powerful batteries that can unlock innovation in consumer devices and accelerate the mass adoption of electric cars to eliminate our dependence on fossil fuels. We're tackling one of the biggest challenges of our time every day, and together we're redefining what's possible. Are you ready to be a part of a team committed to changing the world? Who You Are You are a product-minded, forward-deployed, software application developer who bridges the gap between sophisticated data modeling and world-class user experiences. You believe that back-end data is only as valuable as the interface that makes it actionable. You are as comfortable architecting a high-performance Snowflake schema as you are crafting an intuitive React component. You thrive on being embedded with your users, translating the complex needs of battery engineers and operations into elegant software that serves as a "single source of truth." Responsibilities and Duties Embedded Product Development: Work [... source excerpt omitted ...] ta easy to interpret. Application Data Layer Architecture: Design and evolve Snowflake schemas and data models specifically optimized for high-performance application interfaces. You will ensure the data layer supports both rapid transactional workflows and deep analytical exploration. Data Orchestration: Utilize dbt and Airflow as your toolkit to clean, transform, and move data into your application-ready schemas, ensuring end-to-end data integrity. Modern Observability: Use Datadog, Sumo Logic, and StatsD to monitor user interaction patterns and application health, ensuring high availability for business-critical workflows. AI-Forward Features (RAG): Deploy Retrieval-Augmen [... source excerpt omitted ...] G) patterns to build "smart" tools that allow our engineering teams to query technical specs, experimental results, and financial data using natural language. Knowledge and Skill Requirements Front-End Mastery: Expert proficiency in React, TypeScript, and modern CSS-in-JS or Tailwind. Experience with data visualization libraries (e.g. Plotly, or Bokeh) is highly preferred. Application Backend: Expert proficiency in Python (FastAPI, Flask) Application Data Modeling: Advanced experience with Snowflake and dbt. You should be able to demonstrate how you design schemas—including graph-based relationships—to solve specific application and user-workflow problems. User-Centric Design: Y