Top AI Jobs in Ottawa

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.

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.

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.

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 HR data, people analytics, workforce insights, Power BI dashboards, automation, AI-enabled solutions, data governance, HR technology roadmaps, and digital transformation. Partners with HR, IT, business leaders, and vendors to improve decision-making, optimize processes, support adoption, and develop future-state HR operating models.

Leads HR data analytics and digital transformation by developing Power BI dashboards, workforce insights, automation, AI-enabled solutions, data governance, and HR technology roadmaps. Partners with HR, IT, business leaders, and vendors to improve processes, guide decisions, support adoption, and deliver sustainable change across HR operations.

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.

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.

Drives public-sector industry sales for Microsoft by originating opportunities, engaging senior decision-makers, positioning Microsoft Cloud, AI, Copilot, and security solutions, and generating new revenue. Develops industry thought leadership, accelerates demand, nurtures strategic customer relationships, and orchestrates account teams to deliver transformational outcomes and exceed customer expectations.

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.

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.

Lead the technical direction, architecture, and development of Compass, an LLM-powered agent platform. Design multi-agent systems, MCP and A2A integrations, orchestration, evaluation, and observability infrastructure. Drive cross-team technical projects, production support, engineering quality, mentoring, and adoption of AI-assisted development practices. Partner with Product, QA, Design, Operations, and Engineering stakeholders to deliver reliable agentic systems.

Architect and own marketing data infrastructure, including Databricks pipelines, Gold Layer tables, semantic models, and trusted analytics foundations. Lead cross-functional data initiatives, translate ambiguous business needs into scalable solutions, improve reliability and quality, and mentor engineers. Build and monitor production LLM and agent systems, automate workflows with AI, and deliver high-quality Python and SQL while validating AI-generated code. Partner with Marketing, Sales, BI, Data Science, and R&D teams.

Lead design, build, and deploy of large-scale data platforms for LLMs, RAG, and agentic AI systems. Hands-on coding, architecting fault-tolerant pipelines, establishing MLOps/DataOps best practices, mentoring engineers, and operationalizing research into production across Exabyte-scale distributed systems.

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.

Create and answer prompts, review AI-generated responses, evaluate reasoning for correctness, and provide constructive feedback to improve AI model accuracy. The role requires clear English writing, critical thinking, problem-solving, and a bachelor's degree. Work is flexible and remote, but applicants must reside in Australia, Ireland, New Zealand, the United Kingdom, the United States, or Canada and complete identity or work authorization verification.

Lead organizational change management for enterprise AI and Generative AI transformations. Responsibilities include developing change strategies and roadmaps, assessing readiness and impacts, advising executives on workforce and responsible AI considerations, creating communications and training, driving adoption, measuring readiness and value realization, and building reusable change-management playbooks and toolkits. The role supports initiatives across strategy, discovery, piloting, deployment, scaling, and sustained adoption.

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.

Build and modernize scalable enterprise data platform services, including AI-assisted automation, self-service workflows, and Apache Iceberg adoption. Develop Python and AWS platform tooling, improve reliability, support incident response, troubleshoot distributed data systems, and perform root-cause analysis. Partner with globally distributed engineering teams to improve data producer and consumer experiences, operational stability, and developer productivity.

Own revenue growth across foundation AI labs, technology companies, and enterprises. The role leads account expansion, new-logo sales, multi-million-dollar negotiations, forecasting, and executive relationships while shaping product packaging, pricing, and new revenue lines. It also partners with Product, Engineering, Delivery, and Operations to commercialize AI data, evaluation, staffing, and agentic offerings, build repeatable sales motions, lead a growing commercial team, and represent the company in the frontier AI community.

Owns CSL Plasma’s target-state business architecture, capability models, value streams, architecture decisions, integration standards, and technology roadmaps. Translates business strategy and regulatory requirements into architecture blueprints across digital products, while governing AI, automation, data, and integration patterns. Partners with product, engineering, enterprise architecture, security, privacy, and compliance teams to drive committed designs, architectural consistency, and migration sequencing across a complex regulated environment.