Top Tech Jobs & Startup Jobs in Toronto

Lead the enterprise readiness and platform modernization strategy for SaaS Manager. Own product strategy, roadmap, prioritization, customer discovery, technical architecture decisions, integrations, data ingestion, reliability, administration experiences, and responsible AI capabilities. Collaborate across Product, Engineering, Design, Security, Privacy, Analytics, and go-to-market teams to define milestones, measure outcomes, manage dependencies and risks, coordinate launches, and iterate based on customer feedback.

Lead design and delivery of cloud-first device infrastructure and endpoint management at scale. Drive IaC/CI-CD practices for device fleets, build automation (including LLM/agentic components), manage Apple MDM, enforce device trust and conditional access, own third-party patching, lead change management, collaborate with stakeholders, and participate in occasional on-call rotations.

Lead a Solutions Engineering team supporting commercial and channel-led opportunities across North America. Guide technical discovery, solution design, demonstrations, proofs of concept, and validation for identity and security solutions. Partner with Sales and channel partners throughout complex buying cycles, coach technical storytelling and executive communication, standardize presales practices, manage technical risks, and use customer feedback, metrics, AI, and automation to improve execution. Collaborate cross-functionally with Product, Marketing, Customer Success, and Engineering.

Leads 1Password’s analytics engineering function, owning data architecture, roadmap, modeling, semantic layers, BI tooling, pipelines, governance, testing, documentation, and data quality. Manages and develops analytics engineers, establishes technical standards, reviews complex dbt and SQL work, optimizes warehouse performance, and partners with senior leaders across Finance, Marketing, Product, Analytics, and Data Engineering. Builds trusted data foundations supporting company-wide decisions, AI initiatives, and generative BI.

Own customer technical relationships from onboarding through adoption, expansion, and renewal. Lead implementations, integrations, configuration, troubleshooting, and security reviews while advising on identity, access management, device trust, and SaaS security. Partner with Customer Success and cross-functional teams to manage risks, represent customer needs, create scalable resources, mentor peers, and improve lifecycle processes.

Lead tax provision, compliance, and reporting activities across US, Canada, and international entities. Prepare quarterly AETR provisions, tax returns, reconciliations, tax memos, audit support, and PFIC calculations. Support tax planning, tax due diligence, transfer pricing, tax audits, and process improvements—partnering with external advisors and cross-functional teams while helping evaluate AI-driven automation opportunities.

Develop and ship authorization features, product improvements, and bug fixes using Go. Own small-to-medium projects through planning, implementation, testing, release, and post-launch support. Build and maintain authorization and identity services, write clear documentation, conduct code reviews, support production systems, and collaborate with teammates, customer support, and other stakeholders. Contribute to access-control capabilities, testing practices, developer workflows, and incident response.

Serve as the primary technical advisor for SMB sales opportunities, partnering with Account Executives throughout sales cycles. Lead technical discovery, product demonstrations, proof-of-value engagements, competitive evaluations, security questionnaires, RFPs, and technical documentation. Advise IT, security, developer, DevOps, and executive stakeholders on identity, endpoint, SaaS, secrets, cloud, and AI security solutions. Collaborate cross-functionally to improve demos, playbooks, enablement, and customer education.

Develop and maintain customer-facing product surfaces and backend systems using strong Rust expertise. Own features end-to-end from design through production support, improve reliability and CI/CD, write and expand tests, review RFCs, collaborate with cross-functional teams, and responsibly apply AI-assisted tools to accelerate development while ensuring safety and quality.

Build production privacy tooling and automation that protect personal data across cloud products. Develop AI/LLM-assisted workflows for privacy reviews, data subject rights, telemetry classification, retention/deletion, and integrate privacy controls into CI/CD, APIs, data platforms and engineering workflows. Ship production code, tests, monitoring, and collaborate with Security, Product, Data, and Legal.