Job Description

About Us Eightfold AI doesn?t just organize data ? we understand people. As pioneers of the world?s most innovative AI-native Talent Intelligence Platform, we combine enterprise data, market insights, and user interactions to create a complete picture of talent across the entire employment life cycle, providing an end-to-end experience that includes hiring, development, and retention. A third of our customers are from Fortune 500 companies and have relied on us to move faster and more strategically than the competition. Our platform is guiding our customers through the greatest work acceleration in history by unlocking the power of people and showing them how partnering with AI can unleash unlimited potential. We secured a $220M Series E funding round, led by SoftBank ?s Vision Fund in June 2021. Thus, we?ve raised more than $400 million in funding to date. We?re valued at over $2 billion. Our customers- https://eightfold.ai/customers/ Press - https://eightfold.ai/press/ You may want to refer to the media coverage on TechCrunch and Reuters. Founders Varun Kacholia (https://www.linkedin.com/in/varunkacholia/ ) & Ashutosh Garg (https://www.linkedin.com/in/ashutoshgarg893/) Our Engineering Leaders Chandra (https://www.linkedin.com/in/sivasankaran-chandrasekar-31803624/) Vinodh Ravindranath (https://www.linkedin.com/in/vinodhkumarr/) About The Team We're looking for a Full Stack Lead Engineer to lead the development of customer-facing analytics dashboards with self-service authoring capabilities. In this role, you'll guide a small team of engineers, drive end-to-end technical execution, and collaborate with global product, design, and data teams to build intuitive, high-performance analytics experiences. What You'll Do > Build modern, scalable UIs using React and TypeScript for rich data visualization and authoring workflows. > Design and deliver backend services and APIs in Python (Flask, FastAPI, or Django). > Lead and mentor a small team of full stack engineers, ensuring high technical standards and code quality. > Collaborate with cross-geo product managers, designers, and data engineers to bring analytics concepts to life. > Ensure system reliability, scalability, and performance across the full stack. What You'll Bring > 6 or more years of full-stack development experience with strong expertise in React and Python. > Proven experience building complex, customer-facing applications or analytics dashboards. > Solid understanding of RESTful APIs, microservices, and frontend-backend integration. > Experience with data visualization frameworks (e.g., D3.js, Recharts, Plotly). > Hands-on with SQL/NoSQL databases, cloud infrastructure (AWS, GCP, or Azure), and modern CI/CD pipelines. > Excellent communication and leadership skills, with a track record of mentoring engineers and driving technical direction.