Top Tech Jobs & Startup Jobs in Vancouver

The Sales Strategy and Operations Manager leads complex sales opportunities, develops ROI models, engages executives, and coordinates cross-functional input for compelling proposals.

Part-time AI Application Engineer focused on measuring and improving healthcare AI agent performance in production. Responsibilities include instrumenting agent quality, identifying failure points, designing experiments, analyzing results, and partnering with clinical experts to improve patient outcomes. The role requires Python, strong analytical judgment, comfort with ambiguity, and interest in healthcare. Clinical experience is valued but not required. Engagement is structured as a paid internship or contract role with weekly Bay Area office syncs.

The Customer Engagement Manager will oversee a portfolio of strategic accounts, ensuring delivery quality, driving outcomes, and fostering commercial growth through strong relationships and effective orchestration of delivery teams.

Lead and scale a distributed BDR team across the US and India, enforcing daily metrics, coaching, hiring and ramp processes, and executing a signal-led ABM outbound motion to generate qualified SQLs and protect SQL-to-demo conversion. Partner with AEs, regional VPs, and marketing to prioritize target accounts, improve handoffs, and rebuild enablement for faster rep ramp and sustained pipeline quality.

The Chief of Staff will assist the CEO in strategic priorities, drive sales and product operations, manage investor relations, and oversee internal initiatives, ensuring organizational excellence and scaling efforts.

Join Ema as a Software Engineer to design and develop user interfaces for web applications, collaborating with product managers and UX designers, and integrating APIs.

As a DevOps Engineer, you will design, develop, and deploy scalable SaaS solutions, automate infrastructure tasks, and collaborate on CI/CD enhancements.

As a Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.

Develop and maintain scalable, reliable back-end systems and APIs, write maintainable code, and collaborate with global teams in a hybrid work environment.

Lead the development and deployment of advanced machine learning models focusing on NLP, while ensuring model integrity and communication with stakeholders.