Canoe Offices

Canoe is headquartered in New York and has 2 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Depending on role, employees may be hybrid in-office in NYC, London, or Jacksonville, or fully remote.

Typical time on-site: Flexible

U.S. Office Locations

HQ

New York

Canoe is located in the trendy SoHo district of downtown Manhattan, easy to get to by train or ferry (and even easier now since we're remote!).

Jacksonville

Jacksonville, FL, United States

Recently posted jobs

8 Days AgoSaved
Hybrid
New York City, NY, USA
Artificial Intelligence • Fintech • Information Technology • Machine Learning • Financial Services
Leads the Quality and Reliability organization, building an SRE practice, defining SLOs and observability standards, owning incident management, and establishing risk-based automated testing and quality gates. The role reports executive-level reliability metrics, guides technical governance, and partners with architecture and engineering teams to improve software reliability, performance, testability, and operational readiness. It also develops distributed quality engineering teams and applies LLMs and agentic tools to testing workflows.
9 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Fintech • Information Technology • Machine Learning • Financial Services
Leads large enterprise software implementation projects for financial institution clients. Responsibilities include creating project plans, managing budgets, schedules, resources, risks, quality, documentation, and reporting. The role mentors project teams, communicates with executive stakeholders, manages multiple concurrent projects, and drives successful client adoption and value realization. Requires fintech vendor experience, strong communication and analytical skills, and willingness to travel up to 25%.
15 Days AgoSaved
Hybrid
New York City, NY, USA
Artificial Intelligence • Fintech • Information Technology • Machine Learning • Financial Services
Support private markets data operations by processing LP documents, triaging automated exceptions, ensuring data quality, and analyzing trends to inform product and process improvements. Coordinate with onshore/offshore teams and partner with Product and Engineering on operational needs.