Senior Engineering Manager

Role OverviewWe are looking for an Engineering Manager / Senior Engineering Manager to lead and scale high-performing engineering teams building modern, AI-driven products. This role requires strong people leadership, solid full-stack awareness with a backend expertise(preferred), and hands-on experience building LLM-based agents or agentic AI systems.You will manage 15–20 engineers, drive execution, and provide technical leadership for scalable, production-grade platforms.Key ResponsibilitiesEngineering Leadership & People ManagementLead, mentor, and manage 15–20 engineers across multiple teams.Own hiring, onboarding, performance management, and career development.Build a culture of engineering excellence, accountability, and high ownership.Balance strategic thinking with hands-on technical guidance when needed.Technical Ownership & ArchitectureProvide technical leadership across frontend and backend systems.Drive architecture, system design, and technical decision-making.Review designs and critical code paths; guide teams through complex engineering challenges.Ensure systems are scalable, secure, reliable, and observable.AI / Agentic SystemsLead or contribute to building LLM-based agents or agentic AI products.Experience with agent orchestration, tool usage, context management, and evaluation.Exposure to voice bots / conversational AI is a strong plus.Delivery & ExecutionOwn delivery commitments and sprint execution across PODs.Partner with Product Managers to translate requirements into execution plans.Proactively identify risks and ensure predictable, high-quality delivery.Preferred Technical Skills (First Preference)Frontend (UI):React / JavaScriptBackend (Preferred):Java with Spring BootPython with FastAPICandidates with strong experience in other frontend or backend technologies are also welcome; however, the above stack is strongly preferred.Other Technical SkillsExperience designing and scaling distributed systems and APIs.Experience with cloud platforms (AWS or GCP).Familiarity with CI/CD, DevOps practices, and observability tools.Exposure to AI/ML platforms, prompt engineering, or MLOps is a plus.Leadership & Behavioral SkillsProven experience managing large teams (15–20 engineers).Strong ownership and execution mindset.Ability to operate effectively in fast-paced, ambiguous environments.Excellent communication and stakeholder management skills.You are passionate and obsess about building products that users love and admireWhat We’re Looking ForA leader who can scale teams, own delivery, and drive technical excellence.Someone excited about building ML, agentic AI and AI-powered products at scale.Comfortable operating across engineering, product, and AI domains.