Top Tech Jobs & Startup Jobs

Provides first-line support for Canoe’s production clients, handling inquiries, troubleshooting, training, and product education. The role coordinates with Product and Data teams to resolve bugs, communicate feedback, improve workflows, maintain Help Center content, and support AI adoption initiatives. Success requires strong client focus, analytical problem-solving, technical communication, collaboration, and interest in AI-enabled support operations.

Supports private-market asset data workflows by processing and reconciling data, monitoring exceptions, maintaining quality standards, analyzing trends, documenting operational logic, coordinating offshore teams, and partnering with Product, Data, and Engineering on process and product improvements.

Supports private-market document processing, data-quality reconciliation, exception triage, workflow management, and offshore team coordination. Serves as a subject-matter expert on private-market data, analyzes trends, documents operational logic, identifies process improvements, and collaborates with Product, Data, and Engineering teams on roadmap and systemic fixes. Provides operational summaries and data-quality reports to support client-facing teams.

Manage and grow strategic relationships with enterprise clients, drive product adoption, retention, expansion, and renewals. Collaborate with Product, Implementation, Support, Sales, and Leadership to deliver ROI, conduct business reviews, and increase net dollar retention.

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.

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%.

Lead Canoe Intelligence’s global corporate marketing strategy, brand identity, content ecosystem, media relations, social presence, and employee advocacy. Develop thought-leadership narratives, case studies, webinars, and co-branded content while partnering with sales, relationship management, partnerships, product marketing, and regional teams. Manage PR agencies and external creative talent, oversee brand consistency, optimize third-party profiles, and use AI tools to scale content, sentiment analysis, and brand monitoring.

Serve as a technical domain expert throughout the sales process for Canoe’s financial software. Support discovery, presentations, RFPs, proofs of concept, solution design, demos, data loading, and client workflow analysis. Collaborate with Sales, Client Success, Product, Finance, Legal, and implementation teams; maintain demo environments and documentation; advise on product capabilities, roadmaps, technical requirements, statements of work, and implementation approaches.

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 a data delivery engineering team as a contributing manager, balancing hands-on coding with people leadership. Own delivery pipelines, integrations, backlog prioritization, and communication with Product and stakeholders. Drive AI-assisted development adoption, ensure correctness of client-facing outputs, unblock engineers, and improve processes for reliable, timely data delivery across integrations and channels.