Top AI Jobs in Ottawa

Own end-to-end analytics engineering for AI and developer experience data. Instrument telemetry, build governed production pipelines, define trusted metrics, and create executive-facing dashboards and analyses. Partner with data engineering, AI, and data science teams to improve data quality and connect raw signals to decision-making. Present clear recommendations on AI investment, developer productivity, and ROI while using AI coding agents to build and maintain pipelines, dashboards, and analyses.

Build and deploy agentic and generative AI systems that automate risk and compliance investigations. Own full-stack ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based modeling across transaction, graph, text, and profile data. Collaborate with product, engineering, platform, and operations teams while leading strategic roadmaps and delivering scalable production systems.

Designs end-to-end architectures and high-level designs for web security products and features, spanning configuration, reporting, runtime systems, analytics, and attack detection. Collaborates with product management and cross-functional teams to define requirements, guides engineering implementation, presents designs, and contributes security product expertise and technical roadmap direction.

Own the architecture and technical strategy for Square’s go-to-market systems. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex initiatives through architecture, implementation, testing, deployment, and operations while establishing AI evaluation, observability, security, reliability, and human-oversight practices. Partner with Sales, Product, Data, and Engineering leaders to translate business needs into scalable solutions, make build-versus-buy decisions, mentor engineers, and improve business impact through data and user feedback.

Own end-to-end sales operations workstreams supporting Enterprise Account Executives. Analyze sales data, build dashboards and KPIs, improve intake and pipeline processes, and recommend solutions that increase seller effectiveness, revenue, and profitability. Collaborate with Sales Operations, Deal Desk, Finance, Legal, Sales Strategy, and GTM Systems stakeholders. Use AI and automation to streamline workflows and present findings to senior leaders.

Leads the Security Operations Centre's platform engineering, resilience, automation, AI, data pipeline, SIEM, XDR, and compliance capabilities. Develops the SOC modernization strategy, ensures platform availability, security, recoverability, data integrity, and auditability, and manages engineers and strategic vendors. The role partners with technology, identity, cloud security, compliance, audit, and executive teams to reduce cybersecurity risk and deliver reliable, scalable services across Canada.

Own the full sales cycle for digital marketing bundles targeting local businesses. Responsibilities include prospecting, making 30–40+ outbound calls daily, qualifying leads, conducting pitches, closing sales, following up, maintaining CRM records, reviewing pipeline performance, and using AI-powered coaching tools to improve sales effectiveness. The role is fully remote in Canada and offers progression to Account Executive.

Administer commercial and technology contracts, including MSAs, SOWs, NDAs, DPAs, and amendments. Manage intake, drafting, review, routing, signatures, records, obligations, and key dates. Support privacy and compliance questionnaires, use AI tools for contract workflows, coordinate priorities across Sales, Finance, and Delivery, track turnaround targets, and recommend process improvements.

Leads Cohere’s global Customer Success, Services, and Technical Support teams, driving adoption, customer experience, lifecycle strategy, and executive-level customer advocacy. Defines workflows and handoffs, coaches functional leaders, analyzes customer and support data, improves the customer journey, and influences product strategy. Partners with pre-sales, Product Management, and Machine Learning Engineering to represent customer needs and deliver value to enterprise AI customers.

Develop software, AI-assisted tools, simulations, analytics, and decision-support algorithms for subsea optical communication systems. Optimize EDFA and Raman backhaul links, assess cable aging, recommend remediation and retesting, automate cable upgrades, and support commissioning and network operations. Collaborate with optical, systems, DSP, and software engineers, interface with customers, demonstrate solutions, and evaluate AI-generated code for correctness, scalability, and maintainability.

Own and grow strategic Anthropic and AWS alliances, building partner activation, funding, competency, co-sell, and pipeline programs. Lead the alliances team, establish operating processes, develop executive partner relationships, and collaborate with sales, marketing, and delivery. Expand partnerships with GCP and emerging AI providers while maintaining partner tiers and program requirements. The role requires hands-on alliance management, team leadership, enterprise communication, AI ecosystem familiarity, and up to 40% travel.

Lead the App Excellence engineering domain across desktop, mobile, and browser platforms. Set strategy, manage through engineering managers and senior technical leaders, and establish practices for reliability, observability, quality, incident response, release readiness, and compatibility. Use customer and operational signals to guide priorities, coordinate cross-team dependencies, partner with Product, Design, Security, and Release Operations, and hire and develop leaders while improving delivery predictability and customer outcomes.

Designs and manages training content for software products, including e-learning modules, videos, technical manuals, job aids, and interactive exercises. Conducts needs analysis with subject matter experts, translates technical information into accessible learning materials, manages multiple instructional design projects, and evaluates training effectiveness using feedback and data. Requires strong communication, writing, editing, collaboration, adult learning theory, and proficiency with e-learning, video, graphic editing, productivity, and AI tools.

Own the strategy, roadmap, development lifecycle, and go-to-market activities for fraud analytics products. Lead customer discovery, prioritize product improvements, analyze complex data, collaborate with development and data science teams, and use market and customer insights to improve user outcomes. The role requires fraud prevention expertise, statistical modeling and AI/machine learning knowledge, strong stakeholder communication, and flexible UK-US working hours.

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.

Own the full sales cycle for enterprise AI consulting engagements, from qualifying partner-referred leads through discovery, solution scoping, proposal development, negotiation, and signed SOWs. Engage banking, insurance, and life sciences buyers; collaborate with architects and delivery teams; manage partner relationships with AWS and Anthropic; maintain CRM accuracy and forecasts; and provide market feedback. Travel up to 30% for client meetings.

Leads delivery of large-scale AWS and digital transformation programs, overseeing planning, execution, reporting, risk mitigation, quality, customer outcomes, and continuous improvement. Manages multi-functional teams, develops product and service roadmaps, identifies business opportunities, resolves customer issues, and coaches or recruits team members. Collaborates with engineering and enterprise stakeholders while applying agile methodologies, business analysis, and emerging AI, machine learning, data, and cloud technologies.

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.

Build and operate scalable AI platform infrastructure, including LLM and MCP gateways, agent runtimes, evaluation services, routing, quotas, observability, and security controls. Own projects from design through launch and on-call, establish technical standards, collaborate with security and infrastructure teams, and mentor engineers. Develop highly available distributed backend systems supporting AI workloads across Affirm’s financial products and engineering organization.

Identify, qualify, advance, and close enterprise sales opportunities for public safety software solutions. Build and manage territory pipelines, conduct solution demonstrations, negotiate contracts, and maintain customer relationships with government agencies. Apply MEDDPICC and Challenger Sale methodologies, use Salesforce for opportunity management, communicate AI-enabled solution value, monitor market trends, and collaborate internally to support complex, long-duration B2G sales cycles.

Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.

The Customer Success Engineer will help construction-industry customers adopt and maximize value from Procore’s platform. Responsibilities include analyzing usage data, recommending improvements, presenting tailored technical solutions, advising on complex needs, demonstrating products, coordinating cross-functional resources, communicating product roadmaps, mentoring teammates, and supporting customer projects. The role requires French fluency, construction-sector experience, technical customer-facing expertise, analytical skills, and willingness to travel up to 50%.

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.

Leads the design, delivery, and continuous improvement of a fellowship learning program. Responsibilities include setting curriculum strategy, overseeing instructional design, managing learning designers, facilitating workshops and events, coordinating cross-functional projects, managing budgets, and using research, data, and learner feedback to improve participant outcomes.

Own end-to-end product design for new B2C and internal AI products, from discovery and prototyping through launch and iteration. Lead zero-to-one design in ambiguous environments, shape non-deterministic user experiences, conduct research, influence product strategy, and partner closely with product, engineering, and leadership. Create visually rich, scalable experiences with strong UX, visual design, systems thinking, and craft.