Top Tech Jobs & Startup Jobs in Toronto

The Director of Growth Marketing will drive acquisition, activation, and revenue growth through strategic marketing initiatives, manage marketing operations, and lead a multi-disciplinary team to ensure data-driven success.

The Senior Manager, Product Marketing leads the Product Marketing function at Wave, overseeing a team, defining go-to-market strategies, and driving product adoption and growth in a SaaS environment.

The Accounting Associate manages a portfolio of small business accounts, providing bookkeeping services, financial statements, and customer support, while building relationships and meeting revenue targets.

Lead Wave's organic acquisition and website optimization strategy across traditional and AI search. Own SEO/AEO/GEO, site architecture, structured data, CRO, experimentation, and website performance. Partner cross-functionally to create search-informed content, improve conversion funnels, and establish reporting to drive qualified traffic, sign-ups, activation, and revenue growth.

Define and build Wave's internal risk and payments operations platform. Own strategy and roadmap for tools used by Risk, Fraud, Compliance, Support, Finance, and Payments Operations. Replace manual workflows with scalable decisioning, case management, and automation. Partner cross-functionally with Engineering, Data, and business teams to improve efficiency, controls, and customer outcomes.

Design user-centered mobile and web experiences working with product teams. Conduct and act on user research, prototype solutions using the Design System, run usability testing, and iterate through discovery and delivery to balance user needs and business goals.

Investigate complex fraud using diverse data to accept, reject, or escalate transactions; assess chargeback risk and advise small business owners; monitor for fraud/compliance issues; improve processes and fraud-detection rules; manage merchant relationships with clear communication and attention to detail.

Design, build, and deploy scalable ML platforms and pipelines; optimize and monitor model performance; enforce model governance and data compliance; mentor junior engineers; integrate AI solutions with product and engineering teams to deliver measurable business outcomes.