Senior Manager, Data Engineering, Data Management

3 weeks ago

Canada Diversis Capital LLC Full time

About the Role: As a Senior Engineering Manager of Machine Learning, you will lead a talented team of machine learning and data engineers to develop cutting-edge machine learning solutions. You will be responsible for driving innovation, shaping the technical roadmap, and ensuring the successful delivery of machine learning projects. This role requires a deep understanding of machine learning principles, strong leadership skills, and a passion for driving impactful results.
What You’ll Do: Leadership: Provide strong technical leadership and mentorship to a team of machine learning and data engineers. Technical Strategy: Along with your Product Management partner and members of the technical team, you will coordinate and execute the technical roadmap for machine learning projects. Collaborate with cross-functional teams to align technical initiatives with business objectives. Stay abreast of the latest advancements in machine learning technologies and methodologies.

Project Management: Oversee the end-to-end development lifecycle of machine learning projects, from ideation to deployment. Define project scope, milestones, and deliverables. Ensure timely delivery and high-quality execution.

Performance Optimization: Identify opportunities to improve the performance, scalability, and reliability of machine learning systems. Implement best practices for model training, evaluation, and inference.

Cross-functional Collaboration: Collaborate with other engineering teams to integrate machine learning capabilities into existing products and services. Drive cross-functional initiatives to leverage machine learning for business growth and innovation.

Who You Are: Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field.

Experience: 8+ years of experience in software engineering, with at least 3 years of experience in a leadership or management role. Proven track record of successfully leading machine learning projects from concept to production.

Technical Skills: Deep understanding of machine learning principles, algorithms, and techniques. Proficiency in programming languages such as Python, Java, or C++. Experience with machine learning frameworks/libraries such as TensorFlow, PyTorch, or scikit-learn.

Experience building and managing high-performing engineering teams.

Proven ability to tackle complex technical challenges and drive innovative solutions. Ability to thrive in a dynamic and fast-paced startup environment.

Passion for software development, machine learning, artificial intelligence, and technology innovation. Remote work

If you’re close to one of our 3 Hubs: Boston, Montreal, or Reykjavik, feel free to use the space and catch up with the local team(s)

Great benefits including health, dental, vision and savings plan.

Perks such as training reimbursement, WFH reimbursement, and more.

A great range of social activities (both in person and virtual).

Optional in person meet-ups and the ability to travel to our international offices

Note: As our hiring teams are global, please submit your resume in English only.
At Tempo we’re on a mission to help teams build better, together. We are creators of top-selling Atlassian Marketplace apps, supporting more than 29,000 customers and working with hundreds of Solutions Partners globally. Our solutions help customers orchestrate creation and delivery, so their teams can focus and optimize around their highest priorities.
Our product suite has grown from our popular time-tracking solution, which launched in Iceland in 2009, to resource & capacity planning, project cost tracking, project & program management, and strategic roadmapping. In 2021, Tempo acquired Roadmunk, a roadmapping solution popular with product management teams, and ALM Works, creators of the Structure for Jira suite that delights project and program managers around the world.
Are you ready to unlock the joy of building with us?
At Tempo Software, we are proud to be an equal opportunity employer and are committed to creating an inclusive culture. As such all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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