Top Remote Jobs in Ottawa

Lead Canada regulatory and financial crime compliance programs: engage regulators, horizon-scan Canadian legislation, maintain 2LoD FinCrime policies (KYC/EDD/transaction monitoring), advise product teams for compliant-by-design features, oversee monitoring/testing and internal audits, manage remediation and board reporting, and collaborate cross-functionally to embed scalable compliance controls.

Own enterprise pipeline generation through signal-led, multi-channel demand gen campaigns. Partner with Enterprise AEs to target accounts, design ABM plays, run frequent experiments, craft outbound messaging, and build AI-driven workflows that automate engagement and accelerate deals from first touch to closed-won.

Run and maintain Zapier's incident program operations: manage incident tooling and on-call systems, build AI-powered automations and dashboards, maintain runbooks and enablement, operate reporting and observability, coordinate cross-functional stakeholders, and drive continuous improvement to keep incident response reliable and scalable.

Lead product marketing for Enterprise Password Manager: own messaging, positioning, competitive strategy, launches, and field enablement. Translate technical concepts (passkeys, machine credentials, zero-knowledge) into narratives for IT, security engineers, and CISOs. Build competitive intelligence, inform product strategy, and produce sales tools that drive displacement of incumbents.

Lead and manage global operational workflows and compliance programs (e.g., Global Fonts, Player Data Compliance). Serve as central liaison between studios and corporate teams, manage vendor proposals and contract tracking, maintain tracking systems, deprecate high-risk assets, optimize processes using modern tools, and provide project management support for software migrations, tool rollouts, and M&A integration.

Lead design and delivery of Apollo's enterprise control plane: permissions, roles, admin workflows, manager controls, territory and assignment, and governance. Define a standard permission model, admin and manager experiences, and instrumentation to support large-scale customers, improve security and reduce admin-driven friction, and enable enterprise adoption and expansion.

Lead design vision and execution for Dropbox's multi-product ecosystem, focusing on high-trust AI-powered experiences that activate content. Translate emerging AI capabilities into simple, elegant, and trustworthy product interactions, mentor designers, raise design standards, and partner with cross-functional teams from strategy through implementation.

Build, operate, and extend Affirm's data platform and application tooling to enable self-service data applications at scale. Implement platform features (provisioning, CI/CD, access control), integrations, data governance, automation, observability, and on-call operations. Contribute to roadmap for semantic layers, agentic data tooling, and AI-native workflows while raising engineering and operational standards.

Build and maintain scalable integration and end-to-end test automation frameworks and CI pipelines. Optimize test execution, improve stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate across regions to evolve the companys test strategy and developer productivity tooling.

Build and maintain scalable, reliable ML data platform systems to support dataset generation, model training, analytics, monitoring, and large-scale inference. Collaborate with ML, software, and infrastructure engineers to design cost-efficient data lake and training infrastructure using vendor and open-source tools to enable next-generation ML models.

This is a general "talent pool" posting asking candidates to share their background and interest for future corporate roles across the company. No specific duties or requirements are listed.

Lead large-scale, cross-functional engineering projects to deliver AI-native SaaS features. Own platform architecture for multi-tenant, cloud-native systems, drive engineering standards and developer tooling, mentor engineers, and operationalize LLMs, agent frameworks, and real-time data in production.