Top Tech Jobs & Startup Jobs in Calgary

Looking for a Software Engineer to build financial products and tooling for Cash App's Lending team, ensuring quality and compliance while collaborating across domains.

The Senior Technical Account Manager will act as a technical partner to Cash App Pay and Afterpay merchants, optimizing integrations and ensuring growth through collaboration and technical solutions.

Senior individual contributor building and maintaining underwriting and credit decisioning ML systems for Cash App Borrow and Afterpay. Responsibilities include feature engineering, model training, calibration, experimentation, deployment, monitoring, and portfolio-level analysis. Collaborate with cross-functional teams to align models with business and regulatory goals and develop AI-native engineering workflows and governance for reliable, auditable model development.

Senior individual-contributor program manager owning issuer and processor partner relationships end-to-end. Drive partner onboarding, technical integration, BIN setup, compliance, SLAs, incident response, and launch readiness while coordinating Product, Engineering, Legal, Compliance, and Operations to deliver scalable card experiences.

Own and lead federal bank examinations for Block affiliates, act as primary regulator contact, manage exam cycles end-to-end, coordinate cross-functional responses, and maintain institutional regulatory knowledge and post-exam remediation.

The role involves supporting integration and sales of Square's Developer Platform, collaborating with partners, and advising on solutions for sellers.

Graduate research interns will own end-to-end projects developing customer world models and proactive intelligence. Work spans representation learning, foundation models, reinforcement learning, agentic decision systems, and evaluation. Tasks include designing methods, running experiments, publishing findings, and potentially shipping models into production to impact customer-facing products.

Lead design and optimization of data models and pipelines for compliance and risk; standardize metrics and documentation; build data quality, lineage, and monitoring (including AI agents for automation); manage ETL scheduling, on-call pipeline support, and collaborate with product and non-technical partners to translate business needs into automated, production-ready data solutions.

Design, build, and operate production ML decision systems to detect and prevent payment fraud, account takeover, identity abuse, merchant/marketplace risk, scams, and other adversarial activity. Own end-to-end production lifecycle: data contracts, low-latency inference, batch scoring, feature quality, deployment, monitoring, incident response, rollback, and feedback loops. Develop AI-assisted workflows and reusable decision capabilities while partnering with modelers, product, compliance, and operations.

Design, build, and operate production ML signal systems—ranking, retrieval, recommendations, propensity, and next-best-action—covering feature/candidate generation, serving, experimentation, monitoring, and feedback. Define signal contracts (freshness, provenance, confidence), evaluate long-term impact (trust, fairness, compliance), and partner across product, data, and risk teams to deliver reusable customer-intelligence capabilities.