Top AI Jobs in Ottawa

Shape Motion’s market presence through positioning, storytelling, product launches, and campaigns. Rapidly test marketing ideas, identify opportunities, scale successful initiatives, and build AI-native systems and workflows that multiply marketing effectiveness. The role is designed for an experienced marketing executive who wants to return to hands-on execution while helping define modern marketing at a fast-growing AI company.

Develops communications strategy and thought leadership for cybersecurity, identity, access management, and AI topics. Responsibilities include media relations, executive communications, contributed content, event and speaking strategies, rapid response, narrative development, journalist engagement, and communications measurement. The role translates complex technical concepts into credible messaging for developer, business, and security audiences while collaborating with marketing, product, engineering, security, legal, sales, executives, and agencies.

Own Spellbook’s entire product function, including product vision, portfolio strategy, roadmap prioritization, execution, launches, customer insight, analytics, and cross-functional alignment. Lead and grow a team of Product Managers while partnering with engineering, design, marketing, sales, customer success, and the CEO. Drive AI-powered B2B SaaS product development and contribute to company strategy, investor narratives, and fundraising efforts.

Leads proactive and reactive technical delivery for enterprise customers using Power Platform, SharePoint, and Microsoft 365. Evaluates customer environments, identifies resiliency and security issues, provides modernization and AI transformation guidance, and delivers data-driven recommendations. Coordinates support, account, and engineering teams, contributes to incident resolution and on-call rotations, conducts assessments and workshops, and improves service delivery processes.

Leads AI, AEO/GEO, and growth product strategy for Uberall, including roadmap development, product innovation, product-led growth, and customer retention. Manages and mentors global product managers while collaborating with engineering, design, marketing, sales, customer success, and senior leadership. Uses market trends, customer data, competitive analysis, and product metrics to guide decisions and optimize initiatives. Requires deep AI and SaaS expertise, strong growth strategy experience, and a proven record of launching and scaling successful products.

Staff Content Designer responsible for shaping investing product experiences, simplifying complex concepts such as options, margin trading, futures, and perpetuals. Partners early with product, design, engineering, marketing, brand, legal, and compliance teams. Develops content standards, workflows, templates, and AI-powered processes to scale quality. Requires strategic thinking, hands-on UX writing, mentorship, and the ability to become a subject matter expert. Applicants must submit a portfolio with at least three case studies demonstrating improved user experience and business outcomes.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, reasoning quality, usefulness, and correctness. Provide detailed written feedback, distinguish response-quality levels, define evaluation standards, and record short video explanations. This flexible remote contract requires strong software engineering experience, familiarity with AI-assisted development workflows, and the ability to make rigorous, opinionated judgments without reviewing every line of code.

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.

Leads enterprise AI workforce transformation by redesigning operating models, business processes, employee roles, and human-agent collaboration. Designs and deploys AI agents, develops AI literacy and retraining programs, embeds adoption into performance and onboarding systems, and protects employee privacy. Directs readiness assessments, change programs, AI councils, champion networks, global training, stakeholder workshops, and adoption analytics to ensure sustained behavioral change across large organizations.

Leads the technical vision and delivery of an enterprise agentic AI program. Oversees architecture, evaluation, deployment, MLOps, reliability, security, and scalability across multiple workstreams. Partners with executives and client stakeholders on roadmaps and high-stakes decisions, aligns data science and engineering teams, establishes technical standards, and mentors senior technical leaders. Requires deep experience in AI/ML, LLMs, agentic systems, AWS, distributed systems, evaluation, and production-scale software engineering.

Lead Tilt’s product design function across consumer financial products. Set design vision and quality standards, manage and grow a team of six designers and one researcher, build research capabilities, influence product strategy, scale the design system, advocate for users, and partner with Product, Engineering, Marketing, and executive leadership. Drive AI-enabled design practices and ensure product experiences deliver measurable user and business impact.

Lead the global renewals function for a B2B SaaS company, overseeing renewal managers, retention outcomes, forecasting, negotiations, risk management, and expansion opportunities. Build scalable renewal processes, playbooks, commercial workflows, AI-assisted systems, and enablement programs. Coach managers and teams, partner with Customer Success, Sales, RevOps, Finance, Legal, Support, Solutions Engineering, and Product, and provide strategic insight into renewal performance and customer retention.

Drives support transformation by identifying AI and automation opportunities, analyzing customer and support data, improving workflows, and helping design, test, deploy, and monitor AI tools. Develops prompts, knowledge sources, workflows, documentation, training, and troubleshooting procedures. Partners with Support, Product, and R&D to ensure AI capabilities are operationally ready, measurable, supportable, and responsibly adopted across customer operations.

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 and scale the APAC developer community for an open-source AI foundation. Responsibilities include developer advocacy, contributor programs, technical content, ecosystem partnerships, governance support, events, hackathons, and community metrics. The role serves as a public representative, translates complex technical concepts for developers, and collaborates with maintainers, researchers, enterprises, and open-source communities to grow adoption and participation.

Drive enterprise automation initiatives from opportunity identification through delivery and optimization. Partner with business leaders, engineering teams, RPA specialists, AI strategists, and vendors to prioritize and implement scalable solutions. Manage the automation portfolio, discovery and intake processes, vendor relationships, delivery alignment, KPIs, and continuous improvement efforts. Evaluate AI-supported solutions and ensure automation initiatives meet business, compliance, technical, and operational objectives.

Design and build production agentic AI systems for enterprise clients. Develop autonomous agents using Glean, OpenAI/GPT Enterprise, and AWS or GCP. Own agent lifecycles from architecture and implementation through deployment, monitoring, evaluation, and iteration. Apply tool calling, RAG, multi-step orchestration, memory, prompt engineering, structured outputs, permission-aware retrieval, and observability to create reliable, secure, maintainable enterprise-scale AI solutions.

Research and develop world models that perceive, simulate, and forecast changes in properties and infrastructure. Design representation-learning and predictive-modeling approaches using aerial and satellite imagery, property records, and other signals. Build rigorous evaluations, run large-scale cloud GPU experiments, document findings, and transition successful research into production capabilities. The role requires deep learning expertise, empirical rigor, strong ownership, and collaboration with AI and engineering teams.

Create commercial-quality graphic assets for advertising and video production across mobile games, apps, and social platforms. Responsibilities include designing UI elements and visual materials, generating and refining assets with AI tools, maintaining consistency across creative variations, preparing layered files for animation, adapting designs for multiple formats, and collaborating with creative and production teams.

Leads product strategy, vision, roadmap, and execution for 1Password’s Developer Experience, AI security, and AI-powered security portfolios. Oversees secure developer and AI-agent workflows involving identity, delegation, secrets delivery, and access control. Partners with engineering, design, marketing, partnerships, security, and GTM teams; leads standards and developer engagement; establishes product metrics and operating rhythms; and recruits and mentors senior product managers.

Design, prototype, and ship production AI/ML features that analyze observability data to detect, triage, and resolve incidents. Rapidly iterate on LLM- and agent-powered workflows, collaborate cross-functionally, integrate AI with internal tools and alerting systems, and ensure solutions are scalable, maintainable, and aligned with user workflows.

Own product features end-to-end, including architecture, integrations, technical specifications, deployment, testing, and production reliability. Use AI agents as the primary development tool, delegate implementation, critically review generated code, and ensure financial transaction reliability. Work independently as an individual contributor while helping evolve the company’s AI-first development process.

Own full sales and partnership cycle to bring voice AI to mobile service robots: engage senior robotics decision-makers, qualify and prioritize opportunities, close deals, and shape the commercial playbook while operating autonomously within a small technical team.

Lead Supabase’s AI-native operating system by defining maturity models, company-wide standards, assessment processes, operating cadences, and transparency mechanisms. Manage two senior contributors focused on platform and enablement, drive adoption without direct authority, replace unnecessary meetings with automated reporting, integrate standards into onboarding, and measure whether AI agents reduce organizational coordination costs.

Build production AI harness systems for Kinaxis’s Databricks-based enterprise Data Fabric. Responsibilities include developing agent execution frameworks, integrating LLMs with governed data, implementing tool calling and workflow controls, enforcing multi-tenant isolation, and delivering APIs, SDKs, libraries, templates, and operational runbooks. The role requires distributed-systems engineering, cloud data-platform experience, secure multi-tenant design, and practical expertise in agent orchestration, retrieval, evaluation, guardrails, metadata, lineage, and governance.