
51 - 200 employees
Founded 2017
💳 Fintech
☁️ SaaS
🤖 Artificial Intelligence
💰 $36M Series C - Canoe on 2024-07
Fintech • SaaS • Artificial Intelligence
Canoe Intelligence is a software company that provides purpose-built automation to streamline alternative investment workflows for institutional investors, asset servicers, capital allocators, and wealth managers. Its SaaS platform applies machine learning and automation to extract, normalize, and manage investment data, helping clients improve operational efficiency and reporting in the alternatives space. Canoe operates with distributed teams across New York, London, and Jacksonville and emphasizes client-focused B2B solutions, AI-driven product development, and automation for the finance industry.
🕒 April 10
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51 - 200 employees
Founded 2017
💳 Fintech
☁️ SaaS
🤖 Artificial Intelligence
💰 $36M Series C - Canoe on 2024-07
Fintech • SaaS • Artificial Intelligence
Canoe Intelligence is a software company that provides purpose-built automation to streamline alternative investment workflows for institutional investors, asset servicers, capital allocators, and wealth managers. Its SaaS platform applies machine learning and automation to extract, normalize, and manage investment data, helping clients improve operational efficiency and reporting in the alternatives space. Canoe operates with distributed teams across New York, London, and Jacksonville and emphasizes client-focused B2B solutions, AI-driven product development, and automation for the finance industry.
• Contribute to the design and development of our Data platform. • Work closely with AI / ML Engineers to build intelligence and automation into all Canoe systems. • Design and implement data models, data pipelines, and data architectures in support of new Canoe product offerings. • Participate in cross-functional teams as Data Engineering’s representative. • Build observable systems and be an organization leader in operational excellence.
• Minimum 5 years of experience in software development, with at least two in a Data Engineering role • Experience with SQL Databases and relational data modeling. • Experience working with data at scale. • A strong sense of ownership and accountability. • Curiosity and a willingness to learn new technologies. • Great communication skills. • A history of working well with technical and non-technical stakeholders. • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). • Experience with our core technologies: Kafka(preferred), PostgreSQL or similar relational database, AWS or similar cloud service, Snowflake or redshift , Dbt (preferred), Airflow or similar orchestration tool.
• Medical, dental, vision benefits • Flexible PTO • 401(k) • Flexible work from home policy • Home office stipend • Employee Assistance Program • Gym/Wifi reimbursement • Education assistance • Parental Leave
Apply Now🕒 April 10
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