Job
Description
About Our Client: Distinguished Founders | Team Encultured: Transparent, "No-Heroes", Shared Ownership, Continuous Learning | Unique Serial Entrepreneurs | Multiple High-Value World Famous Exits The Role: You will lead the development of a high-scale AI Prediction Platform powering critical decisions. You will lead engineering for a data-intensive product - owning architecture, team growth, and platform scalability. What You’ll Own End-to-end development of the AI Prediction Platform-architecture, code quality, performance, and system integration. Direct management of a 10–15 member engineering team (scaling to ~20). Set direction, grow leaders, and foster a high-performance culture rooted in shared ownership and transparency. Translate business priorities into robust technical execution across product, design, and data functions (North America + India). Serve as the technical face of engineering internally and externally-owning escalations, technical positioning, and stakeholder trust. Technical Scope Tech Stack: React (TypeScript), FastAPI, Python, Databricks, Dagster, Terraform, AWS, dltHub, Nixtla, LangChain/LangGraph. Tools & Standards: Jest, Playwright, Pytest, Azure DevOps, Docker, Checkov, SonarCloud. Deep experience with full-stack engineering, distributed systems, and scalable data pipelines is essential. Hands-on background with modern SaaS architecture, TDD, and infrastructure as code. What We’re Looking For 10+ years of engineering experience with 5+ years leading engineering teams or teams-of-teams. Proven success building complex B2B or enterprise SaaS products at scale. Strong recent hands-on experience (Python, SQL, React, etc.) with architectural and production ownership. Experience managing and growing distributed engineering teams. Deep understanding of system design, DevOps culture, and AI/ML-enabled platforms. Strong cross-functional leadership with clarity in communication and execution alignment. Write to sanish@careerxperts.com to get connected! Show more Show less
