Top Tech Jobs & Startup Jobs in Toronto

Lead Censys’ product management organization and unified exposure management strategy across attack surface management and supply chain intelligence. Define product vision, roadmap, and customer workflows; partner with engineering, design, AI, research, and go-to-market teams; establish scalable product processes; identify new platform opportunities; represent the company externally; and drive measurable adoption, usage, and revenue outcomes while hiring and developing product talent.

Build and deploy AI-powered features for internet-scale threat intelligence workflows. Develop and fine-tune LLMs, RAG pipelines, vector search, and AI-driven analytics to summarize findings and automate investigations. Create secure, context-aware user experiences while evaluating model performance with RAGAS, LangSmith, and regression testing. Collaborate with product, frontend, data engineering, and other teams to deliver low-latency, reliable AI capabilities.

Build highly available, scalable distributed systems and real-time data services supporting Internet-wide scanning, DNS resolution, certificate ingestion, security research, and customer applications. Responsibilities include developing data pipelines, messaging systems, databases, caching layers, tooling, frameworks, and cloud or on-premises services; productionizing prototypes; and collaborating with engineering, product, machine learning, and security teams. The role emphasizes maintainable, testable code, reliability, monitoring, and long-term platform development.

Build and deploy applied machine learning models and data-driven systems that classify, cluster, label, and enrich Internet-observed assets. Develop feature pipelines, training datasets, evaluation frameworks, confidence scoring, and production inference services. Collaborate with engineering, research, security, and product teams to transform raw Internet telemetry into high-quality datasets and customer-facing insights.

Build highly available, scalable distributed systems and real-time services supporting Internet-wide scanning, data ingestion, APIs, security research, and machine learning initiatives. Responsibilities include developing data pipelines, messaging systems, databases, caching layers, tooling, and cloud or on-premises services; productionizing prototypes; collaborating with engineering, product, machine learning, and security teams; and maintaining reliable, observable systems.

Build and deploy AI/LLM-powered features and RAG pipelines for internet-scale threat intelligence. Prototype, fine-tune, evaluate, and optimize models; integrate AI into platform services; implement CI/CD, regression testing, and security guardrails; collaborate across product, frontend, and data teams to deliver real-time, low-latency AI-driven analytics and automation.

The Staff Backend Engineer will lead the Exposure Management team, oversee backend services migration, enhance system design, and mentor engineers, focusing on reducing attack surface exposures.