Senior Manager, Software Engineering

Job Description

Position Overview You will work closely with technology and business teams to understand requirements, design robust architectures, and influence technology choices to deliver innovative solutions. In addition to leading SaaS software development, you will drive initiatives in Data Engineering, Data Warehousing, and Artificial Intelligence (AI). You will collaborate with principal engineers and leadership, and have opportunities to cross-collaborate with inter-disciplinary teams to solve unique challenges in the GRC & ESG domain. Key Responsibilities Shape the product and technical vision for the team, collaborating with product, business, and engineering leadership across the company. Manage and mentor a team of engineers developing highly scalable, performant, maintainable, and well-tested SaaS features. Lead the design and implementation of modern data warehouse solutions, ensuring data quality, scalability, and security. Oversee the integration of advanced AI and machine learning models into SaaS products to deliver intelligent features and insights. Hire, mentor, and lead a world-class group of engineers with expertise in SaaS, data engineering, and AI. Foster a culture of innovation, experimentation, and continuous improvement. Evaluate engineering requirements and design proposals, especially in the context of data-driven and AI-powered applications. Assess and develop the technical performance of individual contributors within the team. Stay current with the latest frameworks and technologies in SaaS, Data Engineering, and AI, influencing technology choices for the application stack. Facilitate daily stand-ups, risk identification and mitigation, dependency resolution, and follow-ups for gap closure. Partner with Product Management and Business teams to drive the agenda, set priorities, create project plans, and deliver outstanding products. Required Experience/Skills 10 to 15 years of relevant experience in developing enterprise SaaS applications using MERN/.NET, MySQL, MS SQL, and caching technologies. 2+ years of experience leading engineering teams building scalable platforms and architectures, including data engineering and AI initiatives. Proven experience designing, building, and maintaining data warehouse solutions (such as Snowflake, Redshift, or BigQuery) and data pipelines (ETL/ELT). Hands-on experience with AI/ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn) and integrating AI models into production SaaS environments. Strong background in data modeling, data governance, and data quality best practices. Experience with cloud platforms (AWS/Azure), CI/CD, DevOps, scripting, and SQL/NoSQL databases. Demonstrated success in migrating monolithic applications to microservices and on-premises solutions to cloud environments. Passion for building a data-driven culture, growing talent, and making a significant impact through technology. Strong communication skills for engaging with end users, technical, and business teams to gather requirements and describe product features and technical designs. Ability to seek clarity in ambiguous situations and drive projects to completion. Experience in Agile development and knowledge of Scrum and Kanban methodologies. Self-motivated learner and builder with a strong customer focus and a commitment to delivering high-quality solutions.