Top Tech Jobs & Startup Jobs in Toronto

Work with the Digital Experience Platform team to build applications that improve the Autodesk customer journey. Participate in sprint ceremonies, collaborate with engineering teammates, and learn the team's products and customer experiences.

Manage financial forecasting, quarter-end landing processes, budgeting, planning, and financial modeling for a global renewals sales organization. Partner with sales and finance stakeholders to analyze business initiatives, report results, communicate risks and opportunities, and support strategic decisions. The role also drives improvements to financial reporting, modeling, and process automation across global regions.

Develop and maintain resilient AWS-based microservices, APIs, and frontends for user management and product access. Responsibilities include CI/CD, testing, production support, observability, troubleshooting, deployments, and performance improvements across distributed systems. The role requires collaboration with globally distributed Agile teams and expertise in cloud architecture, event-driven systems, JavaScript technologies, databases, caching, and monitoring.

Build trusted partnerships with People & Places leaders, translate ambiguous workforce questions into decision-ready evidence, and combine quantitative, qualitative, research, data science, and AI capabilities. Interpret signals, develop KPIs, coordinate dashboards and analytical outputs, identify opportunities for durable products, and support handoffs to technical product managers. Mentor insights partners and help establish standards for research rigor, data quality, and ethical employee-data use.

Drive end-to-end delivery of Autodesk’s Generative AI Accelerator, moving AI capabilities from research through production and adoption. Coordinate research, engineering, security, legal, product, and platform teams; manage plans, dependencies, risks, forecasting, reporting, and impediment resolution. Partner with executive stakeholders to shape strategy and sequencing, promote Agile and Lean practices, and support responsible use of AI automation. Requires technical fluency in AI/ML, cloud platforms, distributed systems, and software development lifecycles.

Provides proactive administrative support to the Senior Director of GTM Data & Intelligence and global leadership team. Responsibilities include complex calendar management, executive travel, meeting and event coordination, expense and purchase order tracking, communications, documentation, team information systems, confidential matters, and process improvement. The role requires strong organization, discretion, communication, prioritization, and follow-through in a fast-paced hybrid environment.

Leads complex, enterprise-scale go-to-market transformation programs across Marketing, Sales, Customer Success, Operations, Product, and Technology. Establishes integrated plans, governance, reporting, risk mitigation, and cross-program alignment while partnering with senior executives. Translates strategy into execution, resolves dependencies and blockers, improves PMO methodologies, and mentors program managers in ambiguous, high-visibility environments.

Develop and optimize computer graphics pipelines for gaming, animation, and VFX projects. Integrate Maya and other DCC APIs, automate data processing, support machine learning data workflows, and optimize systems for cloud infrastructure. Collaborate with artists, researchers, and technical teams to debug pipeline issues, manage large datasets, and improve procedural production workflows.

Develop and improve machine learning models for motion prediction and media applications. Responsibilities include reviewing ML research, building experimental pipelines and prototypes, processing large-scale data, training and tuning models, analyzing errors, developing scalable workflows, and collaborating on global research projects. The role requires strong deep learning, statistical ML, programming, algorithms, infrastructure, and software engineering expertise.

Build and maintain scalable backend cloud services and infrastructure for Autodesk AEC data products. Responsibilities include hands-on Java development, distributed systems and REST API design, AWS cloud services, automated testing and deployments, performance optimization, security, documentation, production on-call support, and mentoring developers. The role requires strong expertise in microservices, serverless architecture, databases, CI/CD, infrastructure as code, and secure high-performance enterprise services.