Top Tech Jobs & Startup Jobs in Toronto

Provide in-house product and IP legal counsel across patent prosecution, IP portfolio management, brand protection, open-source licensing, and product launch readiness. Support invention harvesting, draft and review IP-related commercial contract clauses, assist with AI governance and trade compliance, conduct legal research and diligence, and collaborate cross-functionally with engineering, product, privacy, and commercial teams.

Develop and maintain Java backend services for AutoOps, integrate ELK stack and third-party APIs, implement RESTful services, write tests, investigate and resolve performance, concurrency, and stability issues, and support cross-functional teams while leveraging AI tools to accelerate development and debugging.

Lead vision, strategy, and roadmap for Identity Threat Detection & Response (ITDR) in Elastic Security. Define detection, investigation, and response for human and non-human identities, collaborate with threat research, data scientists, and engineers, and build identity-focused analyst workflows across SIEM and XDR. Engage customers, evangelize product capabilities, and drive enterprise-grade integrations and automated containment with human oversight.

Lead vision, strategy, and execution for the Elastic Agent Builder to enable scalable context for AI agents. Engage enterprise customers and sales to capture requirements, define roadmap for context engineering, benchmark agent capabilities with data science, design UX for context refinement, and evangelize capabilities to partners and the developer community.

Lead product efforts for logs and logs analytics within Elastic Observability. Evolve logs collection, ingest, management, and analytics features (GenAI integration, automated SLO/SLI, intelligent alerting, correlation of logs/metrics/traces). Collaborate with engineering, UX, design, sales and marketing to drive adoption and track user feedback.

Define, lead, and implement core Elasticsearch search and indexing capabilities. Research search data structures and retrieval algorithms, set long-term technical vision, collaborate across teams, mentor engineers, and build high-performance, large-scale search systems.

Lead cross-functional programs across Field Engineering and Support to design and deliver operating models, planning rhythms, and execution standards. Coordinate fiscal planning (headcount, quota, territory), identify automation opportunities, partner with Sales Ops/IT/Finance, and establish communication, documentation, and training to drive adoption and durable process improvements.

Lead design and implementation of advanced search and vector features for Elasticsearch. Invent or implement algorithms and data structures, improve search relevance, fix complex bugs, collaborate with distributed engineers and the community, and write idiomatic modern Java while contributing to Lucene and Elasticsearch internals.

Lead product strategy and roadmap for Elastic's Control Plane (orchestration and management) for Elastic Cloud. Partner with engineering, sales, and marketing to prioritize features, gather customer and market insights, and drive go-to-market. Focus on scalable orchestration, management, and developer-focused infrastructure capabilities while working asynchronously across distributed teams.

Lead development of Elasticsearch search relevance and vector search features. Design and implement new search algorithms and data structures, fix complex bugs, improve Lucene, collaborate with a globally distributed team, engage with the community on issues and PRs, and write idiomatic modern Java.