Top Remote Jobs in Ottawa

Own end-to-end outbound B2B sales for Airwallex’s SME and Growth team across English- and French-speaking Canadian markets. Prospect leads, build relationships with founders and C-level executives, develop pipeline, communicate cross-border payment solutions, negotiate commercial agreements, and close business. The role requires bilingual fluency, strong outbound sales performance, experience selling SaaS or high-tech solutions, and familiarity with Quebec or other French-speaking markets.

Own the full sales cycle for SailPoint’s Identity Security solution within the Canadian Federal Government market. Responsibilities include territory and account planning, prospect discovery, competitive positioning, partner coordination, demonstrations, RFP responses, negotiations, forecasting, quota achievement, and customer expansion. The role leads virtual teams of presales, partners, professional services, marketing, and customer success resources while maintaining Salesforce and pipeline accuracy. Approximately 50% business travel is expected.

Provide frontline support for Enverus software applications through phone, email, and virtual screen sharing. Diagnose and resolve technical issues, manage customer cases, document and escalate product problems, educate users on navigation and product value, communicate updates, and relay client feedback to internal teams. The role requires strong communication, troubleshooting, organization, conflict resolution, collaboration, and customer-service skills, with rotating holiday support possible.

Design, build, and maintain customer-facing React frontend systems for search, catalog navigation, data lineage, dashboards, and AI-assisted analysis. Improve performance across large trees, tables, and streaming interfaces; shape product and UX decisions with design and product partners; raise engineering quality through reviews, documentation, complex bug resolution, and mentorship.

Principal Software Engineer responsible for owning customer-facing products end to end, leading technical strategy, architecting large-scale distributed systems, and delivering AI-native experiences. The role involves full-stack implementation, product strategy, system design, code reviews, reliability, testing, telemetry, security, performance, and mentoring engineers. Candidates must have extensive experience building and operating large-scale systems and strong product, UX, communication, and collaboration skills.

Build and improve developer experience across large monorepos by leading framework and language migrations, dependency updates, build and CI improvements, automated refactoring, and agentic engineering workflows. The role identifies developer friction, creates safe automation and guardrails, partners with product engineering teams, measures impact, sets technical direction, and mentors engineers on tooling and codebase health.

Build and operate Block’s data platform, including warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop reliable Python services, developer tools, and Terraform infrastructure for petabyte-scale data. Partner with data practitioners and product teams, establish engineering standards, provide technical direction, and mentor engineers while ensuring security, reliability, observability, usability, and data governance.

Supports GitLab’s partner ecosystem operations from account setup and deal registration through quoting, ordering, and post-sales support. The role manages Salesforce and partner-system data, processes partner transactions, monitors workflows, builds dashboards, resolves standard issues, supports compliance and month-end controls, and improves processes through documentation, automation, and self-service. It also provides operational guidance, training, and communications to partners, sellers, and cross-functional teams.

Build and operate GitLab’s Rust-based Knowledge Graph backend supporting SDLC and code indexing, graph queries, MCP endpoints, AI agents, and analytics. Integrate with Rails, ClickHouse, NATS JetStream, and Data Insights systems. Improve reliability, observability, scalability, and operational readiness through testing, metrics, runbooks, alerts, and on-call participation. Collaborate asynchronously across product, data, infrastructure, security, and AI teams while contributing to system design and occasional Ruby or frontend work.

Leads Deal Desk within Strategic Finance, owning revenue adjustments, deal economics, approval policies, financial modeling, accruals, cash-flow monitoring, and performance reporting for commercial agreements. Partners with GTM, Finance, and senior leadership on standard and complex deals, provides defensible recommendations, manages cross-functional reviews, and supervises a Senior Analyst. The role requires strong judgment, revenue recognition knowledge, analytical rigor, and executive communication skills.

Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.

Leads Affirm’s zero-to-one product initiatives in partnership with the CEO and executive team. Owns product vision, strategy, roadmaps, customer discovery, prototyping, experimentation, launches, and iteration for new products and platforms. Coordinates engineering, design, data, risk, legal, operations, and revenue teams without direct authority. Defines success metrics, analyzes customer behavior, communicates tradeoffs, and establishes repeatable product development standards.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.