Search the 14 jobs at Canoe

The Marketing Associate will support the marketing team with content development and event management, helping to organize marketing operations, coordinate content creation, manage event logistics, and drive social media efforts to enhance brand awareness and lead generation.

The Manager of Data Engineering will lead a team of six data engineers, focusing on technical leadership, mentoring, fostering team culture, and managing project timelines. This role involves collaborating with product management, driving the design of Canoe's data platform, and ensuring successful project execution.

The Technology Project Manager will lead software development projects, advocating for Agile practices and continuous improvement. Responsibilities include coaching teams, optimizing processes, facilitating meetings, ensuring effective communication with stakeholders, and promoting a collaborative environment.

As a Software Engineer in the Services team, you will design and build scalable services and APIs, contributing to the transition from monolithic systems to a service-oriented architecture. You will also engage in the development of event-driven systems and work collaboratively within cross-functional teams to deliver business value.

The Executive Assistant will manage the CEO's calendar, coordinate meetings, plan travel, prepare agendas, and handle office management. This role involves managing communications, organizing events, and handling sensitive information while ensuring efficient office operations.

The Compliance Analyst ensures adherence to legal and internal regulations by developing policies, conducting audits, and implementing compliance procedures across departments. The role involves managing risk assessments, employee training, and regulatory documentation to ensure compliance within the organization.

The Client Operations Analyst will support the operations of the department by managing resource planning, optimizing processes, and handling data analytics. Responsibilities include project resourcing, capacity planning using Salesforce data, documentation and training, monitoring KPIs, and collaborating with various teams for operational improvements.

The Senior Engineering Manager will lead the Integrations team, focusing on API integrations, RPA solutions, and building scalable, resilient systems. Responsibilities include mentoring engineers, managing project timelines, collaborating with product management, and staying updated on industry trends.

As a Staff Engineer, you will lead the transformation of Canoe Intelligence's event-driven microservices architecture. Your responsibilities include designing foundational components, collaborating with teams to mitigate risks, managing project timelines, and ensuring operational excellence through observable systems. The role emphasizes strong problem-solving skills and adaptability in a fast-paced environment.

The Compliance Analyst ensures adherence to legal and internal regulations by developing policies, conducting audits, and implementing compliance procedures across the organization. Responsibilities include risk assessments, employee training, regulatory documentation, and compliance checking of IT systems.

As a Senior Data Scientist, you will analyze complex data sets relating to private markets and alternative investments, develop data models, create visualizations, and collaborate on data-driven products. You will also leverage SQL and Python to extract insights from large volumes of data, and work on innovative strategies with the Product and Machine Learning teams.

The role involves designing and building scalable services and APIs, contributing to a service-oriented architecture, and leading cross-functional teams to develop Canoe's core products. You'll also focus on operational excellence through observability in the systems built.

Manage and mentor a team of AI engineers, drive ML project timelines, collaborate with product management, identify risks, and offer innovative solutions while fostering an inclusive team culture.

As a Senior Machine Learning Engineer at Canoe Intelligence, you will develop NLP algorithms, train large language models, and work on data preprocessing with cross-functional teams. Your role involves driving innovation in data processing pipelines and mentoring junior engineers.