Top Tech Jobs & Startup Jobs in Toronto

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.

Design and implement features for content ingestion pipelines, metadata services, and content processing workflows. Build reliable, observable services that handle diverse file formats, malformed inputs, retries, and asynchronous workflows. Collaborate with ML, Search & Discovery, and Product to improve metadata extraction, classification, and discoverability while leveraging LLM-based tools and AI-driven practices.

Design and optimize the end-to-end self-service customer journey across Help Center content, automation, chat and email. Own Help Center strategy and content governance, track KPIs (visits, ratings, SEO/AEO), partner with product/engineering/support teams, manage translations and monthly content tasks, use AI to scale content, and reduce support volume through improved self-service.

Lead zero-to-one product initiatives to transform knowledge discovery using ML/LLMs. Define vision, roadmap, and success metrics; prioritize trade-offs; partner with Design, Engineering, ML, and Data Science; deliver incremental wins while building an extensible platform and improving prospect and subscriber experiences across devices.

Lead and own engineering vision, strategy, and execution for Scribd's growth organization. Build and run growth/MarTech platform, manage ~25 engineers and a 5-person platform team, partner cross-functionally to deliver data pipelines, experimentation, messaging, and attribution systems, and drive adoption of agentic/AI practices while maintaining engineering quality and scaling impact.

Design, build, and deploy ML and AI systems at scale for content classification, recommendations, search, and metadata enrichment. Work with cross-functional teams to process large datasets, develop models from classical NLP to LLMs, implement production pipelines, and communicate results to stakeholders.

Lead design and scaling of content ingestion, metadata, and processing systems. Build reliable pipelines handling messy formats, collaborate with ML, security, and product teams, mentor engineers, and drive platform and AI/LLM integration for content workflows and quality.

Join the Signup & Activation team to build and optimize frontend experiences that drive user acquisition and early activation. Collaborate with product, design, analytics, and backend engineers to implement high-quality, performant React/TypeScript interfaces, run experiments (A/B testing and personalization), and own well-scoped features from design through delivery in a Rails-backed environment.

Lead a 5-person UGC product design team, set strategic priorities, integrate AI into design workflows, improve systems and cross-team handoffs, manage performance and growth, and partner with senior product and research leadership to drive measurable product impact across Scribd and Slideshare.