Top Tech Jobs & Startup Jobs in Toronto

Develop and scale production machine learning models for credit decisioning, including default prediction and approval decisions. Build training, decisioning, monitoring systems, data pipelines, features, and algorithms. Conduct research, develop prototypes, and collaborate with engineering, credit, and product teams to deliver machine learning products from inception through business impact.

Develop and ship web, mobile, and API features for Affirm’s card acquisition experience. Break projects into deliverable phases, collaborate with product, design, and analytics, write tested and extensible code, support production availability through metrics and on-call activities, review code, and contribute to interviewing and team development.

Own go-to-market operations for strategic product and pricing initiatives. Segment customers, manage legal and pricing eligibility, build field tools and playbooks, track adoption, analyze performance, and identify launch risks. Translate cross-functional inputs into executable processes for sales and customer-facing teams while recommending improvements based on field feedback and data.

Contribute to fullstack search engineering projects, developing and launching scalable backend systems and user-facing solutions. Collaborate with teammates and stakeholders, balance speed and quality, protect system reliability, navigate large codebases, debug code, participate in reviews, and communicate effectively. The role supports growth through feedback and development activities.

Designs and presents scalable payment and checkout solutions for enterprise merchants. Leads technical discovery, solution architecture, custom integrations, demos, and pre-sales support while partnering with Sales, Engineering, Product, and partner teams. Advises customers, identifies technical risks, influences product development, creates reusable enablement materials, and supports successful implementations. Requires strong expertise in payments, fintech, APIs, SaaS, enterprise architecture, and e-commerce or point-of-sale checkout systems.

Own brand and partner campaign strategy from brief through launch and retrospectives. Translate business priorities, consumer insights, and brand strategy into integrated campaign plans, GTM recommendations, investment priorities, and creative briefs. Coordinate cross-functional marketing, creative, social, paid, product, partner, and communications teams. Establish measurement frameworks, monitor brand health and campaign performance, develop reusable standards, and advise leadership on results and improvements.

Own the operational health of strategic merchant integrations through monitoring, troubleshooting, SLA delivery, root-cause analysis, and technical inquiry resolution. Design custom API integration solutions, lead cross-functional technical initiatives, influence product roadmaps, develop playbooks and runbooks, manage strategic accounts, and mentor other Technical Account Managers.

Own the vision and roadmap for Affirm’s consumer loyalty program, launching rewards, tiers, engagement loops, and redemption experiences. Lead program economics, experimentation, incrementality, LTV measurement, and reward optimization. Partner with Risk, Credit, Legal, Compliance, Finance, Marketing, engineering, and design to deliver compliant products and drive repeat usage, retention, share of wallet, and incremental GMV.

Leads Marketing and Consumer Privacy Engineering teams, developing engineers and establishing a shared operating model. Translates business and product priorities into engineering plans across logged-out web, experimentation, marketing integrations, attribution, measurement, consent, privacy experiences, and consumer data collection. Partners with Product, Marketing, Privacy, Legal, and Engineering stakeholders to deliver reliable, scalable, privacy-aware systems while balancing customer needs, quality, speed, and risk.

Lead backend engineering work for Affirm’s lakehouse infrastructure, delivering reliable, scalable distributed data systems. Own quarterly goals, guide engineers through ambiguous problems, collaborate with product and analytics stakeholders, improve technical standards, monitor system availability, support on-call operations, and mentor team members. The role focuses on large-scale data platforms and technologies including Iceberg, Flink, Airflow, Spark, Kafka, Snowflake, AWS, MySQL, Kubernetes, and Terraform.