Top AI Jobs in Ottawa

Develop production radio software, automated tests, ML/AI troubleshooting tools, and software-hardware integration tests. Troubleshoot testing issues, verify delivered functionality in laboratory environments, review software designs and test plans, and report test results. The role is a 12–16 month co-op requiring full-time enrollment in a relevant engineering or computer science program and availability for 40 hours per week.

Build infrastructure and tooling for AI evaluation, including distributed execution, task-set validation, graders, human-review calibration, statistical reporting, online feedback loops, and offline-to-online analysis. Partner with product, engineering, data, and ML teams to create reliable evaluation workflows that support faster, statistically sound AI product decisions.

Leads Dropbox’s global Revenue and Marketing Operations strategy across SMB, Mid-Market, and Enterprise segments. Owns revenue planning, forecasting, segmentation, territories, quotas, incentives, GTM systems, analytics, productivity, and operating cadence. Partners with executive leadership across Sales, Marketing, Finance, Product, Customer Success, and Support to drive scalable growth, AI adoption, systems transformation, and revenue predictability. Builds and develops a high-performing global Revenue Operations organization.

Develop and prosecute patent applications involving 5G/6G, cloud, AI, software, and advanced communications. Evaluate inventions, prepare claim charts, manage patent cases and portfolios, and collaborate with inventors, researchers, and university partners globally. The role also supports licensing and litigation activities and contributes to Ericsson’s large-scale intellectual property strategy using AI-enabled tools.

Leads strategic pricing and monetization across sales-driven channels, managing pricing partners and advising on complex commercial deals. Develops pricing frameworks, approval processes, deal governance, and scalable tools using automation, AI, and data. Partners with Sales, Product, Engineering, Legal, Risk, and Revenue Operations to improve deal economics, profitability, pricing performance, packaging, and portfolio-level monetization strategy.

Create technical content, videos, demos, presentations, and product walkthroughs showcasing GitLab’s DevSecOps and AI agent capabilities. Engage developers, customers, sales teams, and online communities through webinars, events, forums, Discord, and social platforms. Answer technical questions, deliver analyst briefings, research the developer tools landscape, test new features, and provide product feedback. The role is remote, supports U.S. and Canadian time zones, and requires up to 20% travel.

Owns analytics and optimization strategy for advertising revenue across Zynga’s mobile game portfolio. Responsibilities include monitoring performance, diagnosing trends, designing A/B tests, identifying monetization opportunities, partnering with product, analytics, and data science teams, supporting AI and ML models, leading cross-functional initiatives, and mentoring analysts.

Leads Square’s US Business Development Representative organization through managers and frontline teams. Owns pipeline generation strategy, operating cadence, performance management, forecasting, capacity planning, outbound execution, and sales technology improvements. Coaches managers, develops BDR talent, hires and retains staff, and partners with Sales, Marketing, Revenue Operations, Enablement, Analytics, and Strategy to improve funnel conversion and revenue contribution. Uses data, automation, AI, and prospecting tools to improve productivity and scale successful programs.

Own IT internal audit projects and portions of the SOX program, including ITGC and ITAC testing, risk assessment, controls evaluation, remediation, and audit reporting. Partner with audit, finance, engineering, process owners, external auditors, and co-sourcing partners. Help establish an AI audit methodology and implement AI-enabled audit efficiencies while maintaining quality, independence, and reliability.

Develop and own scalable AI-enabled software and data engineering solutions for RAN reliability and customer deployments. Build ingestion and processing pipelines, AI-ready datasets, and secure integrations into Git, Gerrit, CI/CD, testing, and development workflows. Transform prototypes into maintainable products while ensuring data quality, traceability, access control, monitoring, and vulnerability management. Collaborate with engineers, data scientists, architects, and product stakeholders, provide mentorship, and promote responsible AI-assisted development.

Own regional Sales Operations infrastructure for NAMER, including territory and quota planning, account segmentation, forecasting governance, pipeline inspection, CRM hygiene, executive reporting, and operational cadence. Partner with Sales, Finance, Compensation, Systems, Analytics, and Enablement to improve coverage, forecast accuracy, workflow automation, and sales execution. Support organization design, onboarding, incentive programs, and channel deal registration while applying AI-enabled tools and sound business judgment.

Develops AI-powered solutions for system verification, testing, and engineering workflows. Responsibilities include building Generative AI, LLM, RAG, and agentic AI applications; integrating AI tools with engineering systems; analyzing quality and testing data; supporting proof-of-concepts; and creating dashboards and visualizations. The role collaborates with verification engineers, test managers, and software developers to improve automation, productivity, and product quality.

Advances People & Culture technology through Workday configuration, automation, AI, and process improvement. Partners with HR stakeholders, Workday analysts, project managers, and IT to define requirements, develop scalable solutions, improve employee experience, and maintain privacy, legal, security, and ethical standards. Manages multiple global initiatives across more than 37 countries.

Analyzes the exposure management competitive landscape, synthesizes technical and market intelligence, conducts win/loss analysis, supports competitive deals, develops field enablement materials, and recommends product and go-to-market strategies. Partners with Product, Sales, Marketing, Strategy, Investor Relations, and senior leadership to translate complex cybersecurity concepts into actionable guidance and executive insights.

Lead global industry analyst relations and support North American public relations initiatives. Develop engagement strategies, manage analyst briefings and evaluations, strengthen media relationships, create executive and thought leadership content, secure interviews and speaking opportunities, oversee PR agencies, and use market, competitive, analyst, and media insights to improve QNX positioning and communications effectiveness.

Lead product vision and strategy for an end-to-end AI-powered software factory. Integrate planning, coding, review, and verification across GitLab Duo Agent Platform and product areas. Collaborate with engineering, design, and GTM teams, identify gaps and dependencies, present recommendations to executives, and drive execution to deliver cohesive developer workflows.

Build infrastructure and tooling for AI evaluations, including distributed scoring engines, task-set validation, grader systems, human-review calibration, statistical leaderboards, online feedback capture, and offline-to-online evaluation loops. Partner with product, engineering, data, and ML teams to deliver reliable, observable evaluation workflows that support faster and more trustworthy AI product development.

Owns enterprise AI customer deployments from discovery and product scoping through delivery, adoption, and measurable value. Translates customer workflows into product requirements, deployment roadmaps, and technical solutions while partnering with engineering, sales, finance, legal, security, and customer success. Evaluates AI-specific considerations, business cases, risks, and product opportunities, then converts recurring customer needs into scalable capabilities and operating playbooks.

Leads complex data science and analytics initiatives, develops and validates predictive models, evaluates diverse data sources, and translates findings into actionable business insights. Determines technical approaches, supports risk mitigation and decision-making, and provides technical leadership and mentorship to analytics professionals. Collaborates with stakeholders while promoting quality, consistency, and data-driven solutions.

Build AI-powered solutions for system verification and engineering workflows using Generative AI, LLMs, RAG, and agentic AI. Integrate AI tools with engineering systems, analyze testing and quality data, support proof-of-concepts, and create dashboards and visualizations. Collaborate with verification engineers, test managers, and software developers to improve automation, engineering productivity, and product quality.

Leads enterprise AI governance, risk controls, policy development, and responsible AI adoption. Advises executives, oversees AI committees, audits shadow AI, establishes vendor standards, and develops training and literacy programs. Directs workflow re-engineering and change initiatives, tracks adoption and ROI, and represents the organization in industry forums. Requires bilingual English-French leadership, substantial technology governance experience, and expertise in AI lifecycles, privacy, compliance, and executive communication.

Leads CBC/Radio-Canada’s enterprise AI innovation strategy, pipeline, accelerator, governance, and portfolio execution. The role translates business needs into scalable AI initiatives, oversees pilots through operational rollout, manages vendor and technology partnerships, develops responsible AI playbooks, and promotes AI literacy. It requires executive influence, cross-functional leadership, strong AI/ML knowledge, strategic thinking, stakeholder management, and bilingual English-French communication.

Lead GitLab’s talent brand strategy and employer value proposition across the candidate journey. Develop integrated recruitment marketing campaigns, editorial content, recruiter resources, events, and scalable content systems. Partner with Talent Acquisition, Marketing, Communications, and business leaders to support hiring priorities and improve candidate experiences. Use performance data, audience insights, feedback, and market trends to evaluate campaigns, guide priorities, and increase candidate engagement and conversion.

The Talent Brand Manager will shape GitLab’s employer brand through recruitment marketing, storytelling, campaigns, and candidate education. Responsibilities include translating the employer value proposition into messaging, creating cross-channel campaigns and team-member stories, improving candidate journey touchpoints, analyzing funnel and engagement metrics, and partnering with Talent Acquisition and cross-functional stakeholders. The role also manages projects and external partners while improving talent brand processes, reporting, and operations in a fully remote environment.

Coordinates complex medication and infusion site-of-care transitions for members, including provider communication, prior authorizations, records transfer, prescription changes, outreach, and follow-up. Maintains navigation records, tracks outcomes, and supports savings reporting. The role also develops navigation workflows, SOPs, communication templates, escalation pathways, and quality metrics while partnering with clinical leadership in a startup environment.