Top Tech Jobs & Startup Jobs in Toronto

Own product positioning, messaging, go-to-market strategy, launches, market research, and performance measurement. Build reusable launch playbooks, define success metrics, drive member growth and retention, and influence Product, Brand, leadership, and external partners without formal authority. The role requires independent ownership, comfort with ambiguity, strong cross-functional communication, and effective use of AI tools.

Build and operate platform infrastructure for product analytics, data processing, and ML systems. Responsibilities include event tracking pipelines, Databricks Bronze-to-Gold lakehouse layers, schema evolution, data contracts, CI validation, backfills, monitoring, feature computation, model pipelines, lineage, PHI policy enforcement, and self-service developer tooling. The role focuses on making data and ML changes safe, observable, reproducible, and accessible to engineers and subject-matter experts.

Serve as a strategic partner to the SVP of People and CMO by managing complex calendars, travel, priorities, correspondence, board and investor interactions, briefings, confidential information, and follow-through. Support special projects, leadership meetings, offsites, and team initiatives while improving executive-office systems. Use AI and productivity tools to automate administrative work, create scalable processes, and navigate ambiguity with discretion, judgment, and executive presence.

Own clinical quality for member-facing AI products by partnering with product, engineering, and clinical teams. Design clinical AI evaluations, define quality thresholds and rubrics, assess accuracy, omissions, hallucinations, medication-safety risks, and translate clinical reasoning into prompts and decision logic. Monitor evolving evidence and standards of care, validate product launches, and communicate findings to technical and clinical audiences.

Design and operate scalable, cloud-native data pipelines and orchestration systems for imaging, biomarker, and healthcare data. Build Databricks and distributed processing workflows, integrate DICOM data into data lakes, and implement validation, observability, monitoring, and fault tolerance. Collaborate with data science, AI, R&D, product, and data management teams to deliver secure, compliant, reliable data for analytics and machine learning.

The Head of AI will define and execute an AI roadmap, lead research initiatives, mentor the AI team, and collaborate with senior leadership to enhance health technology.

Lead product- and content-led organic growth across virality/referrals, conversion optimization, and search (SEO, AI-driven discovery, YouTube). Run experiments, build attribution, recruit and manage a lean team, and use AI tools to scale member acquisition and retention without paid channels.

Own and architect the semantic layer and metrics/metadata for the data platform (Databricks/GCP). Build AI-ready models, enforce modeling and documentation standards, implement observability/testing for pipelines, enable self-serve analytics, and collaborate across product, clinical, and business teams to translate questions into reliable data solutions.

Lead full‑stack development of the imaging web platform: architect and build ASP.NET Core services and Vue frontends, design secure APIs integrating EMRs and AI, own testing, CI/CD, and Azure deployments, mentor engineers, and collaborate with product, design, and clinical teams to deliver performant, reliable screening experiences.

Lead design and delivery of full-stack imaging features, architect high-performance ASP.NET Core services, build Vue frontends, integrate APIs with EMRs and imaging partners, mentor engineers, enforce automated testing, CI/CD and observability, and drive technical roadmap in an Agile team.