Top Tech Jobs & Startup Jobs in Vancouver

The Head of Revenue Operations and Enablement will develop and execute revenue operations strategy, optimize revenue generation, and enhance operational efficiency for the global Sales and Account Management teams. Responsibilities include leading strategic planning, project management, and ensuring cross-functional support for sales initiatives.

As an HR Business Partner Lead, you will support the engineering organization by developing HR policies, managing talent, and collaborating with leadership on people strategies to enhance organizational effectiveness and employee satisfaction.

As the Web Strategy Lead at Square, you will be responsible for defining and executing the web strategy to enhance digital experiences and drive growth. You will collaborate with various departments to optimize the public web experience, manage key performance indicators, and use data analytics to inform strategy and decision-making.

The Head of Field Sales at Square will lead the newly established field sales organization, engaging with Territory Account Executives and SMB merchants to drive revenue and build relationships. Responsibilities include planning, leading a sales team, collaborating with cross-functional partners, and executing a business plan to capture market share. The role emphasizes building a high-performance sales culture focused on operational excellence.

The Head of Experiential Marketing at Square will revitalize the experiential marketing function, leading a team to develop B2B activations that enhance engagement and growth. Responsibilities include strategy development, event planning, influencer strategy, content creation, measurement of event impact, and leadership development.

The Sales Compensation Manager will lead the design and implementation of sales compensation plans at Square. This role requires collaboration across various departments to ensure effective compensation strategies align with business goals. The manager will analyze the effectiveness of compensation plans and continuously improve processes to drive success.

As a Software Engineer in the Risk ML Platform, you will develop scalable AI solutions to flag fraudulent activities, work with ML Modelers to integrate data sources, and apply theoretical advancements in machine learning to enhance products. Engage in experiments, prototyping, and architectural design across various computer science domains.