Top Tech Jobs & Startup Jobs in Toronto

Lead strategy and execution for Core Services shared-platform products. Own roadmap, orchestration, APIs, adoption, platform health metrics, and a team of Product Managers while partnering with Engineering, Data, and Design to scale reusable services and improve developer velocity.

Manage a portfolio of small-business bookkeeping clients: import and categorize transactions, reconcile accounts, complete monthly bookkeeping, produce financial statements, advise clients during recurring virtual review calls, and deliver exceptional customer service while meeting revenue targets.

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.

Analyzes fraud patterns, transaction activity, payment flows, model outputs, and risk signals to identify threats and control gaps. Designs and tunes fraud rules, scoring strategies, alerts, and decisioning controls; monitors fraud losses, capture rates, false positives, and operational metrics. Partners with Product, Engineering, Data Science, Compliance, and Operations to implement fraud improvements, evaluate tools, conduct root-cause analysis, and provide actionable recommendations and executive-ready reporting.

Owns execution, optimization, and governance of Wave’s automated customer marketing journeys across email, in-product, and push channels. Builds segmented, personalized campaigns using Braze, Segment, and Amplitude; leads testing and performance measurement; ensures deliverability, consent, data integrity, QA, and documentation; and partners cross-functionally to improve activation, engagement, conversion, retention, and expansion.

Design, build, train, and deploy production ML models and scalable pipelines. Implement MLOps practices, observability, governance, and lineage. Optimize model performance and costs, collaborate with product, risk, and engineering teams to integrate ML features into production systems.

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.