About Leena AI

Leena AI is an AI work assistant designed for modern enterprises. Equipped with Leena AI’s proprietary large language model, WorkLM, Leena AI empowers enterprises worldwide to redefine how employees engage with work, delivering a transformative impact on productivity and efficiency.

WorkLM, built on Leena AI's breakthrough language model architecture, possesses an unparalleled predictive text generation capability, producing human-like responses in context. This empowers employees with a versatile toolset to accomplish tasks with exceptional precision and speed, unlocking unprecedented levels of productivity and efficiency.

Leena AI seamlessly integrates with 1000+ applications, including SAP, Salesforce, ServiceNow, ADP, Oracle, Workday, and Microsoft Office 365. The company’s solutions have been successfully deployed across 90+ countries, serving over 400+ customers, including leading enterprises such as Nestlé, Puma, Coca-Cola, Sony, and Etihad Airways. Founded in 2018, Leena AI supports 100+ languages globally, and millions of employees use the work assistant daily.

For more information, visit https://leena.ai.

Leena Ai

<div><strong>Job Title: Sr. Engineering Manager</strong></div><div><strong>Location: Gurgaon/Bengaluru</strong></div><div><strong>Job Type: Full-Time (Hybrid WFO)</strong></div><div><strong>Job Summary:</strong></div><div><br></div><div><span style="color: rgb(0, 0, 0);">We are seeking an experienced and motivated Engineering Manager to lead our Product</span></div><div><span style="color: rgb(0, 0, 0);">Knowledge Management team. This role is pivotal in driving the development and enhancement of our knowledge management solutions, leveraging machine learning (ML) to deliver intelligent and scalable products. As the Engineering Manager, you will oversee a team of engineers and collaborate closely with Machine Learning Engineers, product managers, and other stakeholders to ensure the successful delivery of cutting-edge solutions that enhance knowledge discovery, organization, and utilization.</span></div><div><br></div><div><strong>Key Responsibilities:</strong></div><div><span style="color: rgb(0, 0, 0);">• </span><strong>Team Leadership &amp; Management:</strong></div><div><span style="color: rgb(0, 0, 0);">o Lead, mentor, and manage a team of software engineers, data engineers, and ML specialists.</span></div><div><span style="color: rgb(0, 0, 0);">o Drive the hiring, onboarding, and continuous development of engineering talent.</span></div><div><span style="color: rgb(0, 0, 0);">o Foster a culture of innovation, collaboration, and continuous improvement within the team.</span></div><div><span style="color: rgb(0, 0, 0);">o Set clear objectives, performance metrics, and career development plans for the team members.</span></div><div><br></div><div><strong style="color: rgb(0, 0, 0);">• </strong><strong>Product Development &amp; Delivery:</strong></div><div><span style="color: rgb(0, 0, 0);">o Collaborate with product managers and other stakeholders to define the product roadmap, with a focus on ML-driven knowledge management features.</span></div><div><span style="color: rgb(0, 0, 0);">o Oversee the design, development, and deployment of knowledge management systems, ensuring they meet scalability, performance, and reliability requirements.</span></div><div><span style="color: rgb(0, 0, 0);">o Manage the entire software development lifecycle, including planning, prioritization, coding, testing, and deployment.</span></div><div><span style="color: rgb(0, 0, 0);">o Ensure timely delivery of high-quality features and releases that align with</span></div><div><span style="color: rgb(0, 0, 0);">business goals.</span></div><div><br></div><div><strong style="color: rgb(0, 0, 0);">• </strong><strong>Machine Learning Integration:</strong></div><div><span style="color: rgb(0, 0, 0);">o Work closely with ML engineers to integrate advanced machine learning models</span></div><div><span style="color: rgb(0, 0, 0);">into the product.</span></div><div><span style="color: rgb(0, 0, 0);">o Guide the team in the selection and implementation of ML algorithms that improve enterprise search, enterprise actions also Large Language Model</span></div><div><span style="color: rgb(0, 0, 0);">integrations.</span></div><div><span style="color: rgb(0, 0, 0);">o Oversee the deployment and monitoring of ML models in production, ensuring they meet performance and accuracy standards.</span></div><div><br></div><div><strong style="color: rgb(0, 0, 0);">• </strong><strong>Technical Leadership:</strong></div><div><span style="color: rgb(0, 0, 0);">o Provide hands-on technical guidance to the team on software architecture, design patterns, and best practices.o Advocate for the use of modern technologies and tools that enhance product quality and developer productivity.</span></div><div><span style="color: rgb(0, 0, 0);">o Lead architectural discussions and drive the adoption of scalable and maintainable codebases.</span></div><div><span style="color: rgb(0, 0, 0);">o Stay updated with the latest trends and advancements in ML, AI, and knowledge management, and assess their potential impact on our product.</span></div><div><br></div><div><strong style="color: rgb(0, 0, 0);">• </strong><strong>Operational Excellence:</strong></div><div><span style="color: rgb(0, 0, 0);">o Implement and maintain best practices for software development, CI/CD, Kubernetes and ML model lifecycle management.</span></div><div><span style="color: rgb(0, 0, 0);">o Monitor and improve the operational efficiency, scalability, and performance of the knowledge management systems.</span></div><div><span style="color: rgb(0, 0, 0);">o Proactively identify and mitigate risks associated with product delivery, including technical debt and resource constraints.</span></div><div><br></div><div><strong>Required Qualifications:</strong></div><div><strong style="color: rgb(0, 0, 0);">• </strong><strong>Experience:</strong></div><div><span style="color: rgb(0, 0, 0);">o 10+ years of experience in software engineering, with at least 4 years in a management or leadership role.</span></div><div><span style="color: rgb(0, 0, 0);">o Proven track record of delivering successful scalable products or features used by many users.</span></div><div><span style="color: rgb(0, 0, 0);">o Solid understanding of software development lifecycle, agile methodologies, and DevOps practices.</span></div><div><br></div><div><strong style="color: rgb(0, 0, 0);">• </strong><strong>Technical Skills:</strong></div><div><span style="color: rgb(0, 0, 0);">o Strong programming skills in languages such as Python, NodeJS, or similar.</span></div><div><span style="color: rgb(0, 0, 0);">o Experience in building highly scalable systems are very important.</span></div><div><span style="color: rgb(0, 0, 0);">o Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).</span></div><div><span style="color: rgb(0, 0, 0);">o Familiarity with machine learning concepts, tools, information retrieval, NLP, and search technologies is a plus.</span></div><div><br></div><div><strong style="color: rgb(0, 0, 0);">• </strong><strong>Leadership Skills:</strong></div><div><span style="color: rgb(0, 0, 0);">o Excellent communication, collaboration, and interpersonal skills.</span></div><div><span style="color: rgb(0, 0, 0);">o Ability to lead and inspire a team of engineers in a fast-paced environment.</span></div><div><span style="color: rgb(0, 0, 0);">o Strong problem-solving and decision-making abilities.</span></div><div><br></div><div><strong>Preferred Qualifications:</strong></div><div><span style="color: rgb(0, 0, 0);">• Experience with AI/ML-driven product development in any domain.</span></div><div><span style="color: rgb(0, 0, 0);">• Prior experience in a startup or fast-growing technology company.</span></div><ol><li><br></li></ol>