As an AI Engineering Manager, you will be responsible for managing and developing a team of highly skilled AI engineers while also remaining hands-on in the technical work. This dual focus ensures that you will guide your team to deliver high-quality AI solutions while actively contributing to architectural decisions, code reviews, performance optimizations, and proof-of-concept developments. You will foster a culture of continuous learning, technical excellence, and collaboration, ensuring that both technology and talent thrive under your leadership.
Help us shape the future of communication by:
- Serving as the technical authority on AI model design, architecture, and integration within the product ecosystem.
- Leading the evaluation, selection, and implementation of AI/ML frameworks, tools, and best practices, ensuring scalability, robustness, and maintainability.
- Participating in hands-on coding, solution prototyping, and code reviews to maintain high quality standards and guide the team through complex technical challenges.
- Overseeing and refining the AI development lifecycle, including model training, validation, deployment, and ongoing improvement.
- Leading a team of AI engineers, providing mentorship, regular feedback, and career development support.
- Defining clear performance expectations, conduct performance reviews, and identify growth opportunities for team members.
- Fostering a positive, inclusive, and high-performance team culture that encourages innovation, continuous learning, and collaboration
- Collaborating with recruitment and HR to identify, attract, and retain top AI engineering talent, ensuring the team's ongoing growth and success
- Leading a team of AI engineers, providing mentorship, regular feedback, and career development support
- Defining clear performance expectations, conduct performance reviews, and identify growth opportunities for team members
- Fostering a positive, inclusive, and high-performance team culture that encourages innovation, continuous learning, and collaboration
- Collaborating with recruitment and HR to identify, attract, and retain top AI engineering talent, ensuring the team's ongoing growth and success
- Working closely with the Director of AI Development, Product Managers, Designers, Data Scientists, and other Engineering leaders to translate business requirements into technical roadmaps and actionable engineering plans
- Ensuring seamless integration of AI capabilities into existing and future products, partnering with platform, infrastructure, and DevOps teams to optimize deployment and operations
- Communicating technical topics effectively to non-technical stakeholders, making recommendations and reporting progress, risks, and opportunities
- Implementing and continuously improving the development processes, standards, and tools that drive efficiency, reliability, and scalability.
- Ensuring adherence to best practices in model governance, performance monitoring, and compliance with relevant data privacy and security regulations
- Monitoring engineering metrics and KPIs, leveraging data-driven insights to improve development velocity, code quality, and team efficiency
What you'll bring:
- Bachelor's or master's degree in computer science, Engineering, or a related field.
- 8+ years of software development experience with at least 3 years focused on AI/ML engineering and related technologies.
- Proven track record of leading, mentoring, or managing engineering teams, preferably in high-growth or innovative tech environments.
- Hands-on experience with a range of AI/ML frameworks (e.g., TensorFlow, PyTorch), advanced modeling techniques (NLP, CV, recommendation systems), and production-grade model deployments.
- Proficiency in Python, cloud platforms (e.g., OCI, AWS, GCP), CI/CD workflows, and modern software engineering practices.
- Excellent communication and interpersonal skills, with the ability to motivate teams and build productive cross-functional relationships.
- A strategic and solution-oriented mindset, capable of balancing technical depth with big-picture thinking.
