Responsibilities :

Technical Leadership :

- AI Strategy & Leadership : Define and execute the roadmap for AI-driven features and products.

- Lead a team of ML engineers, applied scientists, and AI developers.

- Collaborate with product, data, and platform teams to identify high-impact AI opportunities.

- Drive adoption of modern AI paradigms including GenAI, RAG, and agent-based systems.

- Microservices and API-based architectures.

- Machine Learning & Deep Learning frameworks (PyTorch, TensorFlow).

- Natural Language Processing (NLP) and/or Computer Vision.

Team Management :

- Lead and manage a team of software engineers, fostering a collaborative and high-performance environment.

- Conduct regular performance reviews, provide feedback, and support professional development.

- Foster a culture of service ownership and enhance team engagement.

- Drive succession planning and engineering efficiency, focusing on quality and developer experience through data-driven approaches.

- Promote a growth mindset, understanding and driving organizational change.

- Actively seek opportunities for team growth and cross-functional collaboration.

- Works and guides the team on how to operate in a DevOps Model. Taking ownership from working with product management on requirements to design, develop, test, deploy and maintain the software in production.

Coaching and Development :

- Grow and develop the team technically and with a quality mindset, providing strong and actionable feedback.

- Provide technical mentorship and guidance to engineers at all levels, fostering a culture of learning, collaboration, and continuous improvement, encouraging the team to experiment, learn, and iterate on processes and technologies.

- Stay current with emerging technologies and industry trends, advocating for their adoption where appropriate to drive innovation and productivity within the team.

Execution Excellence :

- Oversee the planning, execution, and delivery of high-impact software projects, ensuring they are completed on time and within budget.

- Manage team workload and capacity, setting priorities and managing risks and tradeoffs.

- Align team efforts with the strategic direction of the company, understanding the big picture and business needs.

- Demonstrate engineering excellence and service ownership, including cost and quality management of services, and effective production management.

- Collaborate with cross-functional teams, including product management, design, and operations, to ensure alignment and successful delivery of projects. Communicate effectively with stakeholders at all levels.

- Make deployment decisions with appropriate risk mitigation.

Minimum Qualifications :

- Bachelors degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

- 12+ years of experience in software development, with 3+ years in a technical leadership role and 2+ years in a people management role.

- Proven track record of leading and delivering large-scale, complex software projects.

- Deep expertise in one or more programming languages such as C, C++, C#, .NET, Python, Java, or JavaScript.

- Extensive experience with software architecture and design patterns.

- Strong understanding of cloud technologies and DevOps principles.

- Excellent problem-solving skills and attention to detail.

- Excellent communication and leadership skills, with a demonstrated ability to influence and drive change.

Preferred Qualifications :

- Masters degree or PhD in Computer Science, Engineering, or a related technical field.

- Experience with cloud platforms like Azure, AWS, or GCP.

- Familiarity with CI/CD pipelines and automation tools.

- Knowledge of agile development methodologies.

- Experience in a complex, matrixed organization.

- Demonstrated commitment to diversity and inclusion initiatives.

- Familiarity with developing accessible technologies.