Senior Product Engineering Manager

1 month ago


Old Toronto, Ontario, Canada https:www.energyjobline.comsitemap Full time

About Fusemachines

Fusemachines is a leading provider of AI strategy, talent, and education services and products. With a presence in 4 countries and over 400 employees, we aim to democratize AI and bring our global expertise to transform companies worldwide.

We seek a Senior Product Engineering Manager with strong software engineering experience and expertise in Machine Learning (ML) to lead our engineering initiatives for a new product line. Bonus points if you've worked on an ML Ops platform.

Responsibilities:
  1. Engineering Excellence: Oversee the development, scaling, and optimization of our ML platform and other products, ensuring solid, scalable, and maintainable software engineering foundations.
  2. ML/MLOps Innovation: Guide the team in adopting and innovating in machine learning model development, deployment, monitoring, and management, integrating the ML lifecycle with our CI/CD pipelines.
  3. Software Development Leadership: Champion best practices in software development, including design patterns, code quality, security, and performance, fostering a culture of excellence.
  4. Team Building and Mentorship: Lead, mentor, and oversee a diverse distributed engineering team, creating an environment that encourages innovation, collaboration, and continuous learning.
  5. Cross-functional Collaboration: Serve as a bridge between the ML/MLOps and software engineering teams, ensuring tight integration and collaboration with product management, UX/UI designers, and other stakeholders.
Qualifications:
  1. Experience: At least 8+ years of technology experience, with leadership roles managing teams that specialize in both ML/MLOps and core software engineering.
  2. Technical Expertise: A deep understanding of Enterprise Software architecture, design patterns, and modern programming languages, coupled with a strong foundation in machine learning algorithms and MLOps practices.
  3. Leadership and Vision: Proven ability to lead, inspire, and grow multidisciplinary engineering teams, balancing short-term goals with long-term vision.
  4. Collaborative Skills: Excellent communication and collaboration skills, capable of fostering positive relationships across engineering teams and with other business units.
  5. Education: Advanced degree in Computer Science, Engineering, or a related field, with a strong background in both AI/machine learning and software engineering.

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