Top AI Jobs in Ottawa

Leads Expedia B2B Operations’ global business enablement portfolio, focusing on continuous improvement, process design, automation, AI-enabled servicing, operational readiness, governance, crisis response, and partner communications. The role redesigns workflows, builds business cases, improves service and financial metrics, governs operational changes, supports launches, and drives adoption across teams, vendors, partners, Product, and Technology.

A 12-week unpaid fellowship providing hands-on training in Palantir Foundry and AIP. Participants attend live virtual instruction, complete technical projects, engage with Palantir engineers and leadership, and earn a professional certification. The program seeks builders with technical experience in software, data, automation, process improvement, prototyping, or related fields. Exceptional performers may interview for roles at Palantir or partner companies.

Lead AI- and data-driven business transformation for North American customers across order-to-cash, procure-to-pay, inventory, and supply chain processes. Own value realization from discovery through ROI, develop executive narratives, manage stakeholders and global transformation workstreams, automate governance and project management with AI tools, and drive Celonis platform adoption. Partner with sales, value engineering, and customer leaders to build strategic roadmaps, enable change, and identify expansion opportunities.

Principal Engineer responsible for defining the long-term architecture and modernization strategy for GitLab’s Fulfillment platform. The role drives technical direction across entitlements, licensing, provisioning, seat management, usage visibility, and cost management. Responsibilities include hands-on distributed systems engineering, migrations, performance and reliability improvements, cross-team influence, AI-assisted engineering adoption, and mentoring senior technical staff.

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 integrate agentic AI applications for Ericsson’s 5G RAN test-management and verification workflows. Build MCP servers and clients, integrate LLMs with prompting, grounding, and guardrails, and use cloud, containerization, RAG, and vector database technologies. Troubleshoot and document testing issues while improving test effectiveness. The role requires full-time student enrollment, a minimum 2.7 GPA, and availability for a 12–16 month, 40-hour-per-week co-op in Ottawa.

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.

Manage full-cycle recruiting for go-to-market roles across sales, marketing, customer success, professional services, and related teams. Partner with hiring leaders, build diverse talent pipelines, conduct structured assessments, use market and funnel data to guide hiring, manage candidate experiences, negotiate offers, and maintain recruiting documentation. The role also involves improving recruiting practices, responsibly using AI, and advising stakeholders in a globally distributed, remote-first environment.

Leads strategic pricing and monetization across Block’s sales-driven channels. Manages a team supporting complex enterprise deals, develops pricing and approval frameworks, and partners with Sales, Product, Engineering, Legal, Risk, and Revenue Operations. Uses automation, AI, and data to scale Deal Desk capabilities, improve commercial governance, analyze deal economics, and identify broader pricing, packaging, monetization, and portfolio opportunities.

Leads AI security strategy, governance, risk assessments, control design, regulatory readiness, and remediation oversight. Advises business and technology stakeholders on AI risks, secure architecture, adversarial threats, monitoring, and resilience. Establishes standards and controls aligned with AI risk frameworks, leads governance forums, tracks risk metrics, and delivers executive-ready guidance. The role requires extensive information security or technology risk experience, strong AI security knowledge, and the ability to influence stakeholders across a regulated financial institution.

Leads Agility’s media research team and owns the accuracy, organization, freshness, and compliance of its journalist and outlet database. Establishes research standards, verification processes, categorization systems, and data quality metrics; tracks newsroom changes and enriches profiles with outreach intelligence. Partners with Product Development on AI-powered research automation, and collaborates with Customer Success, Sales Enablement, Marketing, and leadership. Hires and develops researchers while supporting client education and journalist data requests.

Lead complex security incident investigations from assessment through recovery, coordinating containment, remediation, evidence preservation, and stakeholder communication. Analyze threats across endpoint, identity, cloud, SaaS, network, and application environments. Build code, queries, automation, and AI-assisted workflows to improve evidence collection, detection, case management, and response. Lead post-incident reviews, drive lasting improvements, mentor responders, and participate in the incident response on-call rotation.

Supports the governance, risk, and compliance program with a focus on third-party risk management. Conducts vendor assessments, maintains security policies and standards, performs risk analysis, supports SOC 2 audits, gathers evidence, tracks findings, and conducts internal audits. The role also uses AI and machine learning tools to improve GRC processes and promotes security awareness across the organization.

Own product vision, strategy, backlog, and prioritization while aligning stakeholders, development teams, and end users. Translate business requirements into user stories, collaborate with engineering and UX teams, support Agile delivery, analyze product and user data, and contribute to launches and go-to-market planning. The role focuses on products involving data analytics and artificial intelligence and requires eligibility for Canadian export-controlled information access and an Enhanced Reliability clearance.

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.

Lead AI- and data-driven business transformation for North American enterprise customers. Own value realization from discovery through ROI across finance, supply chain, order-to-cash, procure-to-pay, inventory, and related processes. Manage complex transformation programs, executive stakeholders, governance, change management, and strategic roadmaps while using Celonis and AI tools to accelerate technical outputs, automate project management, and drive platform adoption.

Leads Coupa’s Customer Success and Support AI product portfolio, owning strategy, roadmap, business cases, agentic workflow design, delivery, governance, adoption, and measurable outcomes. Partners with AI Platform, Engineering, architecture, IT, and executive stakeholders to build and scale autonomous support and success workflows. Drives agent prototyping through production, performance monitoring, human-centric validation, change management, enablement, and organizational adoption while ensuring accuracy, compliance, trust, retention, and efficiency.

Own the strategy, roadmap, and business results for organic discovery and AI visibility across thousands of real estate websites. Partner with engineering, design, sales, marketing, and client success to build SEO and AI-search capabilities, improve technical foundations, measure citations and visibility, validate results through testing, and scale successful changes. The role requires strong customer empathy, business accountability, technical SEO expertise, product leadership, and experience shipping products for nontechnical customers.

Lead technical strategy and development of Confluence AI experiences across frontend, backend, and AI integrations. Design scalable systems, apply generative AI, retrieval, agents, evaluation, and safeguards, and improve product quality, adoption, trust, and customer value. Drive complex initiatives from architecture through launch, partner cross-functionally, mentor engineers, establish quality practices, and guide experimentation and continuous improvement across Atlassian.

Analyze the customer lifecycle across activation, engagement, retention, expansion, and renewal for a product-led SaaS business. Partner with Customer Success, Product, Growth, RevOps, and Data Engineering to develop analytical frameworks, identify growth opportunities, evaluate experiments, and provide actionable recommendations to senior leaders. Build data foundations and standards supporting digital success, AI, automation, forecasting, anomaly detection, and generative BI.

Conduct independent research on machine learning, knowledge representation, formal methods, AI agents, and trustworthy AI systems. Develop algorithms, models, prototypes, benchmarks, and rigorous experiments for enterprise-scale applications. Collaborate with scientists, engineers, and domain experts to translate operational constraints into deployable research systems. Evaluate reliability, robustness, privacy, interpretability, latency, cost, and process outcomes, while communicating findings through publications and internal or external presentations.

Define and scale CoLab’s supplier ecosystem go-to-market strategy across OEMs, Tier 1 suppliers, and Tier 2 suppliers. Package and price the supplier motion, map supply networks, develop value cases, enable prospecting and customer success teams, and support strategic deals. Lead executive workshops, coach account teams, identify supplier-sourced opportunities, track activation and pipeline metrics, and translate market signals into product feedback. The role is remote-friendly in Eastern or Central time zones and includes frequent customer travel.

Design and develop software for 5G and 6G wireless systems, RAN platforms, distributed telecom architectures, and cloud-native applications. Develop AI/ML and GenAI capabilities using LLMs, RAG, agents, and knowledge systems for telecom analytics and automation. Collaborate with architects, developers, data scientists, and global engineering teams on integration, optimization, validation, software quality, and production deployments.

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.

Architects cloud-scale solutions and technical strategies for strategic Canadian customers, aligning business objectives with secure, resilient, scalable platforms. Advises executives and technical stakeholders, leads cross-functional initiatives, develops prototypes and pilots, supports cloud and AI adoption, and addresses data residency, sovereignty, privacy, and security requirements. Builds trusted customer relationships, influences product improvements, presents technical thought leadership, contributes to communities, and mentors technical teams across Canada.