Top AI Jobs in Ottawa

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.

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.

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.

Build repeatable AI product packages that drive customer adoption from initial use to team-wide deployment. Partner with Product, Engineering, and Customer Success to solve technical blockers, translate customer needs into use cases, support Motion’s internal marketing team, and help influencers adopt Runneth. The role combines customer relationship management, marketing knowledge, hands-on AI building, technical problem-solving, and evolving customer success 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.

Leads operational oversight, performance analysis, governance, and continuous improvement for AI-powered products and platforms. Develops performance frameworks, executive dashboards, business insights, forecasts, and risk reporting. Partners with engineering, product, and operations teams to improve workflows, support automation, ensure compliance, and drive scalable AI operating models.

Tests and validates AI-powered products, machine learning models, and Generative AI applications. Designs test strategies, executes functional and regression testing, evaluates model outputs, identifies defects, analyzes quality metrics, documents results, verifies compliance, and collaborates with AI engineers and product managers to improve testing practices and release readiness.

Lead product vision and strategy for complex, high-stakes digital products in client engagements. Serve as the senior product advisor to executives, define operating models and delivery standards, guide discovery and roadmapping, resolve complex product decisions, and establish success metrics. Mentor experienced product managers, influence engineering and design teams, support business development, and improve product management practices. Apply AI tools such as Claude to increase efficiency and strengthen research and product thinking.

Own Hightouch’s core marketing product portfolio, including audiences, analytics, experimentation, trait building, and orchestration. Set product vision and priorities, lead 0-to-1 innovation, improve adoption, and drive revenue outcomes. The role requires close collaboration with Engineering, Design, executives, customers, and go-to-market teams. This senior, hands-on product leadership position involves managing multiple workstreams, validating market needs, defining MVPs, and presenting product strategy and customer insights.

Conducts in-depth legal and business research for attorneys and administrative teams, synthesizes findings, advises on research strategies, manages research projects, and evaluates information resources. Develops training curricula, delivers onboarding, monitors legal-industry developments and emerging AI research technologies, maintains newsletters and intranet content, and recommends resource purchases. Requires expert knowledge of legal and business research platforms, strong communication skills, and the ability to manage competing priorities independently and collaboratively.

Own end-to-end executive and specialized recruiting searches across CSC Generation’s portfolio. Source passive candidates through talent mapping, direct outreach, referrals, and LinkedIn; partner with executives to define roles and sourcing strategies; manage confidential searches; close difficult hires; maintain passive talent pipelines; and provide competitive talent market intelligence.

Consultative Sales Engineer responsible for driving complex sales opportunities, designing cloud data security and data risk management solutions, delivering proof-of-value engagements and technical demonstrations, advising executive stakeholders, supporting partner channels, and coordinating cross-functional resources. The role requires cloud security, IAM, networking, databases, encryption, privacy, data governance, and strong technical communication skills.

Own the full sales cycle for Lighthouse’s Business Intelligence solutions in the hospitality sector, from prospecting and pipeline creation through closing and expansion. Build territory plans, meet quotas, conduct consultative discovery with hotel revenue and executive stakeholders, apply MEDDPICC, use AI-enabled sales tools, forecast accurately, and represent Lighthouse at industry events. The role requires hospitality expertise, B2B closing experience, fluent English and German, and a strong focus on net-new business and revenue growth.

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.

As Principal Product Manager, you'll define product strategy for GitLab's AI models, focusing on custom and self-hosted AI capabilities, collaborating with engineering, and ensuring alignment with company strategy.

Own the architecture and technical strategy for Square’s go-to-market technology stack. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish AI reliability and security guardrails, define evaluation metrics, and guide build-versus-buy decisions. Partner with Sales, Product, Data, and Engineering leaders while mentoring engineers and remaining hands-on across design, implementation, testing, deployment, and operations.

Leads partner marketing strategy for Dropbox’s AI and ISV ecosystem, developing joint go-to-market strategies, positioning, integrated campaigns, launches, evergreen co-marketing, and performance optimization. Manages and coaches a partner marketing team while personally executing high-priority initiatives. Partners cross-functionally with Business Development, Product, Sales, Marketing, and Communications to drive adoption, awareness, pipeline, and revenue. Builds scalable operating mechanisms and AI-enabled marketing workflows with strong human oversight.