Senior Technical Product Manager (Machine Learning)

About Brainmaven

Brainmaven is a Toronto-based company focused on building AI-driven prediction models for human flourishing. We are exploring new frontiers of the human-machine division of labor and we look to build machine learning solutions for enterprise customers to achieve their most important goals. We continue to build our team with superstar individuals who are equally interested in this frontier.

Brainmaven is headquartered in Toronto, Canada.

About the Position

We are seeking a Senior Technical Product Manager to manage a portfolio of products that leverage artificial intelligence and machine learning to address our clients’ most challenging business problems. Please be sure to add [email protected] to your contact list to ensure delivery of all correspondence from us

Responsibilities

• Understand clients’ business problems and identify possible technical solutions
• Develop comprehensive product requirement documents that include requirements for machine learning models, model integration, and user-facing software
• Work with technical teams to develop and manage a technical backlog and sprints
• Develop and maintain a prioritized roadmap of solutions to customer problems
• Coordinate with Brainmaven’s leadership team on a regular basis to ensure project success

Qualifications

• 3+ years experience building and shipping commercial software products through standard product management practices (defining requirements, managing a backlog and roadmap, etc.)
• 1+ years experience building and shipping products that leverage machine learning
• Proficient with standard product management tools (including JIRA)
• Proficient in Agile development methodologies
• Proficient in conveying technical concepts to non-technical people
• Bachelor’s degree in computer science, engineering, statistics, math, or a related field

Advantage if you have:

• Master degree in computer science, engineering, statistics, math, or a related field
• 3+ years experience in management consulting or investment banking
• Proficiency with product analytics software (e.g., Amplitude)
• Proficiency with product design software (e.g., InVision)
• Familiarity with industry-standard frameworks and tools for implementing machine learning models in production

Note: Successful candidates will be required to complete a background check.