Top Tech Jobs & Startup Jobs

As a Staff Engineer, you will lead the design and implementation of an event-driven microservices architecture, focusing on leveraging Kafka. You will guide engineering teams, manage project timelines, and ensure high development velocity while building scalable systems.

The Senior Engineering Manager for Integrations will lead a team of integration engineers focused on building scalable solutions for automated data retrieval and delivery across various systems. Responsibilities include mentoring team members, architecting resilient solutions, managing project timelines, and collaborating with stakeholders to deliver high-impact results in a fast-paced fintech environment.

The Director of Business Development will lead Canoe's lead generation strategy, overseeing campaigns, collaborating with teams, and mentoring a business development team. The role involves analyzing performance metrics and aligning marketing efforts to optimize lead quality and conversion rates.

As a Sr. Client Project Manager, you will oversee product implementation and training of the Canoe platform, ensuring clients gain maximum value. Your responsibilities include creating project plans, managing expectations, tracking KPIs, and leading cross-functional teams to successful project outcomes.

Canoe Intelligence is looking for an AI/ML Engineering Manager to lead a team of AI engineers. Responsibilities include guiding ML work, mentoring staff, managing cross-functional projects, and driving technical excellence. The ideal candidate has extensive experience in machine learning, particularly NLP, and a strong leadership background.

As a Senior Data Scientist, you will analyze complex data sets related to private markets and alternative investments, develop models, create visualizations, and collaborate with teams to build data-driven products. You will also leverage advanced SQL and work with unstructured data to extract insights.

The Senior Machine Learning Engineer will develop and optimize NLP algorithms, train large language models, collaborate with cross-functional teams, and mentor junior engineers, all while advancing the company's technology stack and delivering new features rapidly.