Top Tech Jobs & Startup Jobs in Toronto

Lead product security initiatives focused on application security, systemic vulnerability remediation, secure architecture, software development lifecycle improvements, GitHub workflows, SCA tooling, and private package repositories. Partner with developers, promote secure development practices, experiment with AI-assisted vulnerability analysis and fixes, represent Product Security cross-functionally, and mentor teammates.

Own the payments risk function for Jane's embedded payments platform. Responsibilities include merchant risk policy, underwriting, transaction monitoring, loss and risk reporting, dispute strategy, escalation and offboarding decisions, card network and Stripe compliance, and systems/tooling strategy. The role requires building scalable, AI-forward risk operations while balancing fraud prevention, compliance, financial losses, and customer experience.

Lead the technical vision and scaling of Jane’s AWS infrastructure. Design highly available, multi-region systems, operate databases at scale, improve platform reliability, reduce alert noise, strengthen security and compliance, and guide other engineering teams on cloud architecture. Drive ambiguous, cross-team infrastructure initiatives, build consensus, participate in on-call rotations, and help the team use AI tools responsibly.

Lead design and implementation of Jane's customer data infrastructure: own event collection, pipelines, CDP tooling, schema governance, identity resolution, and attribution. Work cross-functionally with marketing, BI, product, and engineering to set standards, evaluate tooling (e.g., RudderStack), ensure privacy-compliant instrumentation, and build reliable, consistent data delivery to the warehouse.

Lead SMB and self-serve demand generation across paid media, website strategy, SEO, AEO, lifecycle marketing, and AI-driven growth initiatives. Manage a team of channel experts, optimize acquisition and activation with Growth Product, define measurement and attribution strategies, collaborate with Sales and Support, and build scalable programs that drive revenue and customer growth.

Work hands-on to harden endpoints, identities, and data protection: manage EDR and CIS baselines, perform incident response and on-call duties, improve identity and access controls (Okta, FIDO2), tune SIEM detections (Datadog), and build AI/automation to reduce toil while partnering cross-functionally with IT and engineering.

Build and maintain the product analytics data foundation: design scalable dbt models, define semantic models and governed metrics, partner with Engineering on instrumentation, certify datasets for BI tools, monitor pipelines and data quality, and use AI to accelerate analytics engineering workflows.

Build and operate the core BI platform: own ingestion, integration, modular dbt pipelines, and enterprise data models. Establish data quality, testing, governance, observability, and CI/CD. Monitor platform health, certify pipelines and data products, and mentor analytics engineers to enable trusted, self-service analytics and AI-augmented workflows.

Lead strategic growth analyses and modeling across marketing, pricing, and go-to-market initiatives. Own end-to-end analyses from problem structuring to executive presentation, forecast and monitor performance, design data sourcing, partner across Marketing and GM teams, and build repeatable frameworks and self-serve tools to drive growth decisions and implementation.