Manager, Software Engineering - Fullstack

Did you know? AI and Machine Learning are transforming how clients interact with their portfolios, enabling conversational interfaces that unlock insights, streamline navigation, and enhance decision-making. These technologies are revolutionizing financial technology, making complex systems more intuitive and accessible. Addepar is building cutting-edge solutions to empower our clients with AI-driven products. We’re using advanced natural language processing and machine learning models to deliver conversational interfaces that allow clients to gain actionable insights, navigate the platform seamlessly, and get contextual guidance effortlessly. We’re hiring an Engineering Manager to lead a team of talented product engineers delivering these groundbreaking software solutions. In this role, you will collaborate closely with cross-functional teams, including data scientists and product managers, to build intuitive solutions that transform how clients experience AI and ML in the application and elevate their interaction with financial data. Come join us! What You’ll Do Lead, mentor, and grow a team of full-stack engineers, fostering innovation and a strong sense of ownership. Design and deliver secure, event-driven AI applications that provide responsive, impactful chat experiences powered by LLMs. Build scalable and resilient systems with a focus on safety, privacy, and real-time performance. Drive engineering excellence through streamlined development processes, high-quality code, and product development expertise. Collaborate across Addepar with product managers, UX designers, content designers, and other stakeholders to deliver seamless, AI-powered client experiences.

Who You Are

Strong experience with javascript, related libraries and frameworks will be required Minimum 10+ years of experience in software engineering or data science Minimum 2+ years of experience managing teams effectively  Experience in software development or data science. Ideally, we need a fullstack hands on engineering manager (70% Frontend engineering work,30% Backend engineering work) Experience with streaming data platforms and event driven architecture You are a curious and hardworking engineer or data scientist with experience in shipping scalable solutions. A great communicator adept at working with cross-functional partners You value developing people and coaching engineers to succeed. Experience with AWS, Azure or GCP cloud deployment Ideally someone who has worked very closely with AI/ML or Data Science teams will be highly preferred

Important Note - This role requires working from our Pune office 3 days a week (Hybrid work model)