Top AI Jobs in Ottawa

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 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.

Lead Block’s global tax planning and controversy agenda, including international and U.S. tax strategy, transfer pricing, M&A taxation, legal-entity structuring, tax audits, examinations, disputes, and transaction negotiations. Advise senior leadership on tax implications, partner with Legal, Treasury, Corporate Development, and finance teams, monitor legislative developments, and ensure tax positions are reflected in reporting and compliance. Build high-performing teams and represent Block before domestic and foreign tax authorities.

Develop agentic AI applications for Ericsson’s 5G RAN test management and verification processes. Responsibilities include building AI agents, implementing MCP servers and clients, integrating LLMs with prompting and guardrails, troubleshooting and documenting testing issues, and improving test effectiveness. The role requires experience with GenAI or LLM workloads, AWS, Kubernetes, Docker, LangChain, LangGraph, RAG, vector databases, and Python, Bash, or SQL automation.

Build and manage a global Afterpay and Cash App sales enablement and training strategy across North America, the UK, and APAC. Own the internal content platform, facilitate training, communicate product and business updates, collaborate with revenue and GTM leaders, and use AI to scale learning programs. Measure program impact on sales performance while adapting enablement initiatives to regional needs.

Administer and configure the corporate CLM platform, including workflows, approval routing, access controls, integrations, contract metadata, and audit readiness. Support contract intake, authoring, negotiation, amendments, and obligations. Implement AI capabilities for document intelligence, clause classification, risk detection, and redlining. Partner with Legal, Finance, Procurement, IT, and business teams to improve processes, troubleshoot issues, create documentation, and deliver user training.

Leads the evolution and delivery of Oracle Order Management systems across Oracle EBS and Fusion Cloud. Responsibilities include functional design, technical specifications, cloud migrations, business requirements analysis, solution delivery, testing, implementation, project leadership, prioritization, and cross-functional team coordination. The role also manages extended operations and production support teams while driving improvements across Order Management, Inventory, Pricing, Customer Master, and related enterprise applications.

Leads the enterprise IT function across Canada, setting technology strategy, modernizing applications and platforms, advancing AI and automation, and strengthening cybersecurity, infrastructure, and IT controls. Oversees technology roadmaps, budgets, vendors, service management, governance, and portfolio rationalization while partnering with executive stakeholders. Manages IT leaders and develops talent, ensuring technology investments support business growth, operational excellence, security, and digital transformation.

Architects and develops AI-powered systems, backend services, APIs, experimentation frameworks, and automation using foundational models. Integrates AI capabilities with microservices, AWS, Snowflake, and diverse technology stacks while ensuring scalability, reliability, and maintainability. Collaborates with product, data science, and engineering teams to translate business needs into technical solutions, evaluate emerging AI tools, and rapidly prototype proof-of-concept applications.

Build and ship production AI systems across retrieval, knowledge graphs, inference, agentic workflows, and data platforms. Develop customer-context retrieval, scored signals, workflow automation, evaluation, and observability capabilities. Work hands-on with Python, SQL, dbt, lakehouse data, cloud infrastructure, model selection, and inference-cost optimization. Establish reusable engineering patterns and mentor teams through high-quality code and system design.

Own Sophos EDR strategy, roadmap, technical product development, AI-powered experiences, and go-to-market execution. Translate customer needs, threat research, telemetry, competitive intelligence, and business goals into product priorities. Partner with engineering, security operations, threat research, marketing, sales, and customer success to deliver endpoint detection, investigation, threat hunting, response, reporting, and XDR/MDR upgrade capabilities while driving adoption, revenue, and customer outcomes.

Leads global FP&A strategy, including enterprise planning, budgeting, forecasting, financial modeling, scenario analysis, management reporting, KPI development, and executive and investor communications. Partners with senior leaders to guide investment, resource allocation, pricing, and growth decisions. Modernizes finance through automation, AI-enabled analytics, planning technologies, process improvement, and data governance. Builds and develops a high-performing global FP&A organization while driving finance transformation.

Lead applied AI and machine learning innovation for supply chain products. Develop prototypes and proof-of-concepts, evaluate emerging techniques, and guide promising ideas toward scalable enterprise capabilities. Provide technical leadership across research, product, and engineering teams while remaining hands-on with ML, generative AI, agents, LLMs, optimization, recommendation, and explainability. Influence architecture and technical direction, mentor colleagues, assess AI-generated code, and ensure solutions meet quality, security, maintainability, and customer-impact standards.

Manages science and technology initiatives for sustainable industrial fisheries. Leads multidisciplinary projects involving electronic monitoring, AI, machine learning, computer vision, data systems, hardware, software deployment, and seafood traceability. Oversees vendors, contractors, budgets, procurements, technical assessments, and deployment of systems in remote environments. Translates technical concepts for diverse stakeholders and supports technology evaluation, scaling, and conservation strategy. The role may require domestic and international travel of 25% or more.

Chief of Staff to the CEO responsible for driving company priorities, building the organization’s operating cadence, managing KPI reporting, leading cross-functional special projects, and increasing executive leverage. The role requires turning ambiguous problems into measurable plans, coordinating leaders and external partners, deploying AI effectively across operations, and improving organizational efficiency in a high-growth B2B SaaS environment.

Research and write high-quality content about venture capital markets, funding rounds, funds, investors, portfolio companies, and company investments. Own longer blog posts and investment-related articles, while collaborating with the Head of Brand on publishing, scheduling, and distribution across LinkedIn, the blog, newsletters, and X. The role is remote, async, and designed to develop into a VC analyst and content position.

Develop and close enterprise sales with investor-owned, municipal, and cooperative electric utilities across North America. Build executive relationships, generate leads, manage HubSpot pipeline, negotiate contracts, present at industry events, write proposals, scope deployments, and transition signed contracts to implementation. Coach SDRs, support sales process improvements, and exceed targets while addressing utility needs involving grid modernization, infrastructure inspection, asset management, and grid operations.

Own one or two client AI product engagements from kickoff through iteration. Translate ambiguous needs into requirements, backlogs, sprint plans, and evaluation criteria; manage timelines, scope, resources, and client communications; direct designers and engineers; ensure AI output quality; identify blockers; and develop repeatable AI-first delivery processes. The role requires client engagement experience, a track record of shipping AI products or features, strong communication, technical fluency, and independent ownership.

Build and scale 1Password’s Commercial Deal Desk within Revenue Operations. The role partners with Sales, Finance, Legal, and cross-functional teams on complex deals, advising on pricing, terms, discounting, renewals, amendments, and approvals. Responsibilities include reviewing Salesforce CPQ quotes, improving commercial processes and workflows, creating playbooks and training, implementing automation and AI solutions, and using deal data to improve quality, efficiency, and revenue integrity.

Monitors and improves the performance, reliability, and adoption of AI-powered systems. Analyzes operational metrics, develops dashboards and reports, identifies bottlenecks, supports incident resolution, documents procedures, and recommends process improvements. The role collaborates with AI engineers, product teams, business stakeholders, and operations leaders while supporting governance, compliance, risk mitigation, and continuous improvement initiatives.

Leads the strategy, roadmap, development, launch, and optimization of AI-powered products. Defines product requirements, priorities, success metrics, and business outcomes while coordinating engineering, AI, executives, and business stakeholders. Evaluates emerging AI technologies, supports responsible AI governance, manages feedback and adoption, and drives continuous product improvement.

Own AI product backlogs, priorities, user stories, acceptance criteria, and delivery outcomes. Translate business needs into product requirements, collaborate with technical teams on solution design, facilitate stakeholder communication, support Agile delivery, and monitor product performance and adoption. The role also identifies AI-driven improvements, supports product releases, drives continuous improvement, and promotes responsible AI practices.

Translates business needs into AI solution requirements, assesses AI and automation opportunities, develops business cases, and supports solution design and delivery. The role facilitates stakeholder collaboration, testing, implementation, change management, reporting, benefits tracking, and continuous improvement across AI initiatives.

The AI Security Analyst assesses and mitigates risks across AI systems, machine learning platforms, and Generative AI applications. Responsibilities include threat modeling, vulnerability identification, security monitoring, incident response, root cause analysis, access control, policy development, compliance support, audit participation, and secure design reviews. The role partners with engineering, infrastructure, governance, and business teams to improve AI security capabilities and promote responsible AI adoption.