Top Remote Jobs in Ottawa

As an Enterprise Solutions Engineer at Snyk, you will lead technical strategy for complex sales opportunities, working closely with executives to align security goals with business outcomes and quantify economic impact.

The Software Engineer 3 will design, build, and operate backend services for Cloud Payments, focusing on large-scale distributed systems, collaborating with teams to enhance billing and payment capabilities, ensuring system reliability and customer experience.

The Solution Consultant will develop and provide product-specific solutions, support sales strategies, lead workshops, and enhance solution delivery.

The Compliance Lead oversees Canadian regulatory compliance, liaising with regulators, implementing compliance frameworks, advising on regulatory controls, and monitoring the effectiveness of compliance programs.

Seeking a Sr. Field Marketing Specialist to develop integrated marketing plans, support regional sales, manage marketing programs, and measure campaign effectiveness in Canada.

Own and grow strategic technology partnerships end-to-end: sourcing, negotiation, integration scoping, cross-functional alignment, co-marketing/co-selling, KPI tracking, and ecosystem strategy to drive product integrations and influenced revenue.

Lead QA efforts to design and maintain automated end-to-end tests across internal and external systems, build evaluation frameworks for AI/LLM features, embed testing into CI/CD pipelines, foster a shift-left quality culture, and transform manual testing into automation while collaborating with engineers and product managers.

The Sales Development Representative engages with SMB owners to drive lead conversion by addressing their concerns and presenting funding options. They manage high call volumes, track lead activity in Salesforce, and collaborate with other teams to improve the sales funnel.

Lead UX design for a new mobile game: define user flows and information architecture, prototype and test features, build and maintain a scalable Figma design system, own end-to-end feature UX, audit player experience, mentor junior designers, and champion UX quality across the studio.

Design, build, and operate production ML decision systems to detect and prevent payment fraud, account takeover, scams, and other abuse. Integrate diverse signals into low-latency serving and batch scoring, own feature pipelines and model lifecycle, develop AI-assisted triage and feedback loops, and partner cross-functionally to balance fraud reduction with legitimate customer access.

Design, build, and operate production ML systems that generate trusted signals for ranking, retrieval, recommendations, propensity/churn/LTV, and next-best-action decisioning. Define signal/data contracts, own feature and candidate generation through serving, experimentation, monitoring, and feedback loops, and evaluate long-term business impact, trust, fairness, and compliance. Partner across product, data, modeling, risk, and compliance and apply AI/agents to accelerate engineering and operations.

The Senior Solutions Engineer will collaborate with Sales and Account Management to support seller integrations, advise on suitable Square solutions, and offer ongoing support to strategic sellers and partners.

Design, build, and operate production ML decision systems to detect and prevent payment fraud, account takeover, identity abuse, merchant/marketplace risk, scams, and other adversarial activity. Own end-to-end production lifecycle: data contracts, low-latency inference, batch scoring, feature quality, deployment, monitoring, incident response, rollback, and feedback loops. Develop AI-assisted workflows and reusable decision capabilities while partnering with modelers, product, compliance, and operations.

Design, build, and operate production ML signal systems—ranking, retrieval, recommendations, propensity, and next-best-action—covering feature/candidate generation, serving, experimentation, monitoring, and feedback. Define signal contracts (freshness, provenance, confidence), evaluate long-term impact (trust, fairness, compliance), and partner across product, data, and risk teams to deliver reusable customer-intelligence capabilities.