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.

Design, implement, and maintain partner integrations and solutions; translate partner requirements into scalable technical implementations; troubleshoot and resolve issues; drive onboarding and steady-state maintenance; collaborate across product, engineering, and partner teams to improve tools and partner experiences.

Build and run Product Marketing operating systems to improve planning, portfolio visibility, messaging lifecycle, launch governance, and cross-functional accountability. Create templates, roadmaps, readiness criteria, and automation-enabled workflows; partner across functions to codify roles, decision rights, and handoffs; measure adoption and continuously improve processes to enable clearer, more consistent go-to-market execution.

Lead and close high-value, complex enterprise deals end-to-end. Drive insight-led strategy, manage multi-stakeholder technical sales cycles with Solutions Engineering, align internal stakeholders (Finance, Legal, Risk, Product), represent the company to executives, influence product and GTM, and use AI tools to increase efficiency.

Build and operate ingestion, reconciliation, and reporting systems that reconcile card-network and partner settlement files against internal transactions. Deliver end-to-end features for traceability, accounting journals, tax and regulatory reporting, and compliance tooling while ensuring reliability, scalability, and data privacy.

Lead development and implementation of AI legal and compliance frameworks. Conduct cross-functional AI reviews, maintain governance docs (model cards, impact assessments), partner with engineering on transparency and fairness requirements, build incident response and monitoring processes, and scale AI legal review workflows.

Design, build, and maintain scalable dimensional data models, semantic/metrics layers, and production data pipelines (dbt, Snowflake). Partner with Data Science, Data Engineering, BI, and DevOps to enable AI/ML, real-time analytics, governance, and data quality while mentoring junior engineers and enforcing best practices.

Lead and grow a team of analytics engineers to build an AI-ready, centralized data foundation. Hands-on duties include writing/reviewing SQL and dbt, designing semantic and dimensional data models, driving data quality, observability, testing, and CI/CD, partnering cross-functionally to deliver scalable data products, and recruiting and developing engineering talent.

Serve as a quota-carrying technical trusted advisor owning discovery, architecture, demos, PoCs, onboarding, adoption, and expansion. Lead technical discovery with AEs, deliver implementations, monitor customer health, drive revenue growth, and leverage AI tools to automate workflows and accelerate customer outcomes.

Help improve reliability and stability of Webflow's production infrastructure: maintain monitoring and observability tooling, optimize Kubernetes workloads for scalability and fault tolerance, occasionally debug/fix Node/Python/Go application code, collaborate with Support/Partnerships/Sales, and participate in on-call and incident response processes.

Design, build, and operate production AI systems and marketing data infrastructure. Develop retrieval pipelines, agent orchestration, CDP integrations, ETL/ELT pipelines, and analytics. Automate workflows with AI, ensure data quality and reliability, partner with stakeholders, ship Python and SQL code, mentor engineers, and drive requirements to production.

Build and maintain agent skills and the platform for authoring, evaluating, publishing, and monitoring them. Implement CLIs, libraries, CI integrations, evaluation harnesses, metrics, and safety/quality gates. Investigate failures, design datasets and workflows, and collaborate with cross-functional teams to improve agent behavior and automation reliability.

Design and develop ML platforms, frameworks, and services; collaborate with data scientists on algorithms and simulations; build model hosting and integration services; create data pipelines and monitoring tools for large datasets and ML applications.

Support product design by sketching, wireframing, and prototyping; collaborate with researchers, product managers, engineers, and designers; translate user research into intuitive UI/UX designs and advocate for user-centered design principles.