Manager Product Software Engineering

The Senior Manager, Software Engineering is responsible for leading and scaling high performing product engineering teams while driving technical excellence, timely delivery, and strategic innovation. This role requires strong people leadership, deep technical expertise, cross functional collaboration, and the ability to leverage modern engineering practices including AI assisted development tools to accelerate delivery and improve quality. You will partner closely with Product Management, UX, QA, DevOps, and business stakeholders to define and execute product roadmaps, contribute to long term technical strategy, and foster a culture of ownership, accountability, and continuous learning. Key Responsibilities Engineering Leadership & People Management Lead and manage a sizable, distributed team of software engineers, fostering a positive, inclusive, and high performing culture. Provide strong technical and managerial leadership, offering guidance on complex engineering challenges and critical decision making. Mentor, coach, and develop engineering managers and individual contributors, supporting career growth and succession planning. Conduct regular performance evaluations, provide actionable feedback, and identify development opportunities. Build trust within teams by setting clear expectations, ensuring accountability, and promoting transparency. Delivery & Execution Excellence Plan, prioritize, and schedule work to ensure efficient resource utilization and predictable delivery. Ensure timely delivery of projects while balancing scope, quality, risk, and resources. Monitor development processes, framework adoption, and project progress to ensure adherence to engineering standards and best practices. Estimate project cost, effort, and resource needs; allocate resources effectively across initiatives. Continuously monitor ongoing processes and outcomes, providing feedback and driving improvements. Technical & Architectural Leadership Drive engineering best practices across code quality, testing strategies, CI/CD pipelines, and Agile methodologies. Contribute to architectural decisions and long term technical strategy aligned with business goals. Ensure strong understanding and application of modern software architecture, cloud technologies, and scalable system design. Provide oversight and guidance on DevOps practices, microservices architecture, and platform engineering. Promote automation across development, testing, deployment, and operational workflows. AI Tools & Modern Engineering Practices Drive adoption of AI assisted development tools (e.g., code generation, code review assistance, test automation, DevOps intelligence). Leverage AI tools to improve developer productivity, reduce cycle time, enhance code quality, and accelerate troubleshooting. Encourage responsible and secure usage of AI tools in engineering workflows, following organizational and compliance guidelines. Use data and AI driven insights to improve delivery predictability, quality metrics, and engineering efficiency. Stay informed on emerging AI trends and assess their applicability to product engineering and platform evolution. Stakeholder & Cross Functional Collaboration Communicate effectively in a matrixed organization with senior leadership, stakeholders, and cross functional partners. Collaborate closely with Product Management, UX, QA, DevOps, and business stakeholders to define, prioritize, and execute product roadmaps. Partner across teams, geographies, and functions to enable smooth integrations and successful product launches. Influence without authority and resolve dependencies across teams to ensure alignment and progress. Required Skills & Expertise Core Technical & Engineering Skills Product Software Engineering: Strong expertise in designing, developing, testing, and delivering scalable software products. Cloud Computing: Hands on understanding of cloud platforms (AWS, Azure, GCP), cloud native architectures, and managed services. DevOps: Experience with automation, CI/CD, continuous delivery, monitoring, and rapid feedback loops. Software Architecture: Strong understanding of microservices, APIs, distributed systems, and platform engineering. APIs & Integrations: Experience designing, securing, documenting, and managing APIs. Automation: Expertise in designing and optimizing automated systems across SDLC. Frameworks: Strong knowledge of modern development frameworks and best practices. Ways of Working Agile Methodologies: Experience leading teams using Agile/Scrum/Kanban with a strong focus on continuous improvement. Implementation & Delivery: Proven ability to execute plans effectively and deliver complex initiatives. Problem Solving & Analysis: Ability to break down complex problems and develop practical, scalable solutions. Spec Driven development AI oriented SDLC People & Leadership Skills People Management: Strong skills in coaching, delegation, conflict resolution, motivation, and performance management. Stakeholder Management: Excellent communication and collaboration skills across technical and non technical audiences. Influence & Collaboration: Ability to lead through influence in a matrixed environment. Competencies & Leadership Behaviours Judgement & Decision Making Accountability & Ownership Inclusive Collaboration Inspiration & Alignment Courage to Take Smart Risks Preferred Qualifications Prior experience leading multi team or multi location engineering organizations. Exposure to AI/ML powered engineering platforms or developer productivity tools. Experience in large scale product organizations or SaaS platforms. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.