What You ll Be Doing Every Day:

Meet business needs by managing engineering activities and consistently delivering high-quality solutions, with a focus on AI-driven features and systems.
Collaborate with internal customers to gather business processes and project requirements, particularly related to data utilization and intelligent automation.
Drive the full development lifecycle, including requirements analysis, feasibility estimates, architectural design, development, implementation, and operational support, ensuring scalable and robust AI/ML solutions.
Work closely with Product Management partners on project planning, resource allocation, scheduling, and development timelines, especially for machine learning initiatives.
Build and manage multi-disciplinary software teams, overseeing development processes using industry best practices, including MLOps and model deployment standards.
Lead design reviews, code reviews, and mentor engineers while promoting data-informed decision-making and ethical AI development.
Partner with Talent Acquisition and hiring managers to recruit world-class engineering talent, with a focus on AI/ML expertise.
Manage multiple priorities in high-pressure environments, identifying and resolving risks early to avoid cost and timeline overruns.
Plan and participate in community meetups, fireside chats, information sessions, and technical and recruiting events.

What You Bring to the Table:

Minimum of 5+ years of experience in software development.
At least 1+ year in a software development leadership role (Engineering Manager level or higher).
Bachelor s degree in Engineering, Computer Science, or equivalent professional experience.
Proven experience managing or contributing to AI and Machine Learning products or features.
Strong proficiency with Agile methodologies, development tools, and best practices.
Hands-on experience in environments using TDD and CI/CD pipelines.
Solid knowledge of Object-Oriented Design, data structures, algorithm design, and complexity analysis.
Experience defining and executing best practices across the full software development lifecycle.
Proficiency in Event-Driven and Service-Oriented Architectures.
Strong analytical and quantitative skills, with the ability to use data and metrics to drive decisions.
Excellent problem-solving abilities, attention to detail, and ability to multitask in deadline-driven environments.
Strong verbal and written communication skills with experience influencing peers and executives.
Ability to understand technical concepts, evaluate trade-offs, and assess new ideas with internal and external partners.
Proven collaboration with business, legal, engineering, design, and cross-functional stakeholders.
Strong sense of ownership, urgency, and accountability.
Demonstrated leadership, mentoring, and people management skills.
Track record of data-driven decision-making.

Software Engineering Manager

Job Description