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 hr@fast.foundation

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.