Top Tech Jobs & Startup Jobs in Vancouver

As an FP&A Analyst, you'll manage budget analysis, partner with departments on financial planning, develop operating models, and leverage AI for financial insights.

Lead client onboarding and integrations for fraud and compliance products. Manage implementation projects, design scalable API-based solutions, own API/SDK documentation, support clients end-to-end, lead an integrations team, and provide product feedback to stakeholders.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

Sell Sardine's agentic risk platform to enterprise accounts (Fortune 1000, financial institutions, fintechs). Build executive relationships, run discovery, tailor demos, manage complex sales cycles end-to-end, lead negotiations, close deals, and provide market feedback cross-functionally.

Sell Sardine's fraud and risk platform to large banks and Fortune 1000 enterprises. Build executive relationships, run discovery, manage complex multi-threaded sales cycles, coordinate demos and negotiations, and close deals while providing market feedback to cross-functional teams.

Lead frontend design and delivery of AI product experiences using React and TypeScript, mentor engineers, set frontend standards, use AI-assisted tooling, and contribute to backend services in Go and product roadmaps.

Embed with clients to gather requirements and design AI-driven solutions for fraud and fincrime. Architect, train, evaluate, and deploy custom AI agents and workflows, optimize model performance, establish risk metrics and evaluation pipelines, and collaborate with engineering/product teams to scale into production.

The Integration Engineer will lead client onboarding for fraud and compliance products, manage integrations, analyze requirements, and support clients throughout the process.

Lead end-to-end data and ML pipelines for onboarding and fraud decisions: ingest streaming and batch sources, build feature platform and entity resolution, productionize ML models, enforce PII/data governance, and set technical direction while mentoring engineers and ensuring low-latency, reliable serving.