Machine Learning Project Manager is the anchor part of the 8nook team responsible for end-to-end delivery of the startup’s main projects, bridging the internal technical team with external clients and partners. ML PM is also responsible for investor relations management.

Main responsibilities

  • Concurrently manage several engagements nurturing and maintaining healthy partnerships and relationships with clients and investors.

  • Take responsibility for end-to-end project deliverables and outcomes

  • Develop a thorough understanding of partner needs and work to coordinate internal ML and other teams to ensure the timely and successful delivery of client engagements.

  • Manage all project and client engagement aspects, such as dates, budgets, performance indicators, progress reports, contract agreements, and invoicing.

  • Facilitate communication and maintain strong relationships with all project stakeholders and team members.

  • Capture project outputs, track project deliverables, glean insights/best practices/lessons learned and assess outcomes.

  • Stay up to date on recent advances in machine learning and artificial intelligence and understand where these methodologies can be applied as solutions to a client’s problem.

  • Other duties are assigned by management from time to time

Required qualifications

  • Bachelor’s Degree in Business, Engineering or Science (Master’s Preferred).

  • Knowledge of Agile, Scrum, Kanban methodologies. PMP Certificate is an asset.

  • Minimum 1-3 years of experience in industry managing software or technology projects or research activities.

  • Experienced and confident in managing key client relationships with senior business leaders.

  • Experience working in the FinTech industry and banking sector is an asset.

  • Experience in strategic planning, business case development.

  • Passionate about project management processes and tools and their role in making an organization run effectively.

  • Program development and/or product management experience is an asset.

  • Public speaking experience.

Application Procedure

All interested candidates are kindly requested to submit their CVs by email to

Please indicate “ML Project Manager” in the subject line of your email. FAST is grateful to all interested applicants; however, only shortlisted candidates will be contacted for the interview.