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The Implementation Specialist will assist clients in onboarding to Canoe Connect, optimizing workflows, and configuring document authorization processes while providing technical expertise and support.

Design and deploy machine learning models for financial document processing, optimize large language models, collaborate with cross-functional teams, and guide junior peers in a fast-paced environment.

Lead GTM and Growth strategy across Institutional Investors, Wealth Managers, Family Offices, and Enterprise; build AI-driven, automated marketing and ABM workflows; manage Product Marketing and Growth teams; drive paid channel strategy, predictive analytics, and cross-functional collaboration to accelerate pipeline and global expansion.

Lead the design and execution of Learning and Development for Canoe's Go-To-Market teams, focusing on process enablement and revenue growth.

The Data Engineer will design and build scalable data systems, contribute to the architecture of the data platform, and collaborate with AI/ML engineers to enhance automation and intelligence in Canoe's systems.

The Head of Revenue Strategy will manage operations and readiness, optimize commercial teams, lead cross-functional initiatives, and design a tech stack for revenue operations.

The Director of Data Operations will build and lead the data operations function, drive operational excellence, and integrate AI with human expertise for data extraction and reporting in a dynamic environment.

The Data Operations Manager will lead the team, define extraction logic for asset data, and train AI models while collaborating with product and clients.

The role involves analyzing complex data related to private markets, developing data models, creating visualizations, and collaborating on data-driven products.

The Senior Product Owner leads agile teams in managing product backlogs, writing detailed user stories, and ensuring quality and timeliness during software development.