Top AI Jobs in Ottawa

Lead, coach, and grow a team of UX researchers supporting Stripe Payments and Risk products. Conduct and guide mixed-methods research, translate user insights into product strategy, establish research programs and infrastructure, and enable cross-functional teams to apply research practices. Partner with product, design, business, and executive leaders while guiding AI-driven improvements to research processes and sourcing external research vendors.

Build and operate end-to-end consumer-scale features across backend services, APIs, iOS, and Android for Life360’s Aging in Place segment. Use AI tools and agentic workflows extensively, establish AI-native engineering practices, contribute to architecture and code reviews, participate in on-call response, mentor teammates, and ensure performance, reliability, accessibility, and member impact across owned features.

Leads Airbnb’s global AirCover quality program for insurance and property-damage claims. Responsibilities include developing quality strategy and COPC-aligned frameworks, overseeing internal and partner-site evaluations, conducting root-cause analysis, escalating high-severity issues, automating KPI reporting and quality assurance, and driving AI and analytics adoption. The role also manages a distributed quality team, develops stakeholder reporting, improves coaching effectiveness, and partners with operations leadership. Success requires strong expertise in complex, high-volume support environments and quality governance.

Own the financial services product line from discovery through launch and iteration. Set the roadmap, determine which deployment capabilities become core product features, conduct user discovery, define quality standards, and establish accuracy, human-review, citation, and safe-failure models for regulated workflows. Prototype in design or code, collaborate with engineers and designers, understand the market, and deliver reusable AI capabilities across financial institutions.

Manage the operational delivery of human data for a strategic AI customer. Responsibilities include translating requirements into workflows, managing participant pools and onboarding, tracking supply and quality, leading cross-functional projects, resolving operational issues, documenting processes, and improving scalability with Product and Engineering. The role also supports participant assessment and certification programs while serving as an operational point of contact for delivery teams.

Design, develop, optimize, and deploy scalable computer vision and vision-language systems using classical computer vision and deep learning. Build evaluation frameworks, monitor production models, debug issues, and improve architectures with new data. Collaborate with product managers and cross-functional teams to deliver practical AI solutions across cloud and edge environments.

Leads technical program execution across 55+ production services while personally designing, building, and productionizing AI-agent automation. Responsibilities include program planning, incident and RCA tracking, executive reporting, workflow automation, API integrations, telemetry, reconciliation, validation controls, auditability, and human-in-the-loop processes. The role requires cross-functional leadership, executive communication, operational expertise, and hands-on delivery of reliable automation in complex technology environments.

Own the end-to-end improvement loop for Elastic’s Context Engine, including agent behavior, evaluation, telemetry, retrieval, memory, and safe production rollouts. Build production services in TypeScript or Python, design golden datasets and quality gates, analyze traces and customer feedback, and improve agentic systems through experimentation. Collaborate with data scientists, backend engineers, product, and UX while mentoring engineers and shaping technical strategy.

The Legal Technology and AI Attorney will support the Investment Funds practice by identifying, designing, testing, and implementing AI-enabled legal workflows, automation tools, prompt libraries, and knowledge management resources. The role combines transactional legal expertise with technology experimentation, vendor collaboration, attorney training, template and precedent management, and development of practical guidance for lawyers and AI-assisted systems. Candidates must be licensed attorneys with 3–5 years of Investment Funds or related transactional experience and demonstrated interest in technology and workflow design.

Transactional attorney supporting M&A and Private Equity practices by identifying, evaluating, and implementing AI-enabled tools, document automation, prompt libraries, and knowledge workflows. The role enhances drafting resources, precedents, and knowledge infrastructure; analyzes market practice and legal materials; trains attorneys and staff; and translates legal judgment into scalable technology solutions. Requires at least four years of M&A or Private Equity experience, legal admission, strong communication skills, and interest or experience in workflow design, technology building, or process improvement.

Lead multi-year vision, strategy, and roadmap for Webflow's agent surfaces and AI platform. Align cross-functional teams, set quality standards and guardrails for non-deterministic agent experiences, serve both developers and creators, prototype and ship product improvements (including contributing code), and mentor PMs while measuring and iterating on outcomes.

Develop and integrate end-to-end machine learning software, pipelines, infrastructure, and models for production AI solutions. Improve platform scalability, reliability, security, and quality; troubleshoot complex issues; automate development and release processes; and collaborate with engineers and cross-functional teams using agile practices. Gain practical experience with generative AI, cloud-native technologies, Kubernetes, and machine learning while contributing to customer-focused supply chain products.

Own the full sales engagement cycle for AI-powered business process solutions, including opportunity identification, account planning, executive relationship development, solution demonstrations, value propositions, pipeline creation, contract renewals, and customer success planning. Partner with account executives, engineers, marketing teams, and channel partners to drive adoption of Dynamics 365, Power Platform, and Copilot, achieve revenue targets, and advise customers on business transformation.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Leads Absorb’s product management organization, translating company strategy into product roadmaps, portfolio investments, and measurable outcomes. Oversees PM team development, operating models, governance, customer advocacy, capacity planning, and cross-functional delivery across product pods. Drives practical AI adoption in product workflows, establishes measurable adoption goals and guardrails, and strengthens strategic product management capabilities. The role requires extensive B2B SaaS product leadership and experience scaling high-performing PM teams.

Researches and builds agentic AI capabilities for marketing workflows, combining experimental development with production delivery. Evaluates models and orchestration frameworks, develops knowledge graphs for recommendations and personalization, integrates marketing data platforms, and creates LLM evaluations, observability, and performance diagnostics. The role also identifies emerging AI capabilities and requires expertise in applied machine learning, NLP, agent frameworks, retrieval-augmented generation, embeddings, and marketing analytics.

Drive new-logo enterprise sales across North America for data connectivity, AI, embedded analytics, and collaborative BI solutions. Source outbound pipeline, manage forecasts and quotas, conduct consultative discovery, demonstrate solutions, navigate technical evaluations, procurement, and legal, and close complex multi-stakeholder deals. Engage executive, product, engineering, data, and analytics stakeholders while applying structured sales methodologies and contributing competitive intelligence to go-to-market strategy.

Develop AI/ML strategy and production software for Smile Digital Health’s healthcare data platform. Design architectures and implement semantic matching, RAG, document parsing, agentic systems, knowledge graphs, and evaluation workflows. Write clean, tested, documented code, integrate external components, conduct reviews, collaborate with clients and product teams, contribute to technical strategy, and mentor developers in an Agile environment.

Own strategic territories and close net-new enterprise software deals. Lead value-based sales cycles from discovery through proof of value, negotiation, and close; build executive relationships; develop account strategies; maintain Salesforce pipeline and forecasts; partner with alliances teams; and advise customers on supply chain resilience, risk, and compliance.

Supports the GTM Lead and founders across sales, growth, and content. Responsibilities include creating technical content for AI products, running growth experiments, supporting outbound initiatives, building the sales funnel, communicating with technical buyers, and collaborating with engineering in an early-stage environment.

Build Lingopal’s go-to-market motion for its evolving AI agent platform. Develop positioning, target accounts, outbound strategy, sales processes, and pricing inputs. Own enterprise sales from prospecting through discovery, pilots, and closing across customer-support-heavy enterprises and scaling AI-agent companies. Engage senior buyers including Chief AI Officers, COOs, and CTOs, while feeding market insights back into product strategy.

Build Weave’s AI-native lead generation infrastructure from scratch, including agentic workflows, automation, lead sourcing, enrichment, qualification, targeting models, and multichannel campaigns. Partner with account executives and RevOps to define lead quality, maintain HubSpot data hygiene, improve handoffs, and connect lead quality to pipeline conversion. Run data-driven experiments to optimize engagement, conversion rates, and pipeline contribution.

Architect, build, deploy, and operate production-grade AI agentic systems and workflows. Responsibilities include backend and full-stack development, agent orchestration, workflow state, retrieval, memory, approvals, failure recovery, data architecture, enterprise integrations, cloud infrastructure, observability, security, and scaling. The role establishes reusable engineering patterns and partners with users to deliver reliable AI products, while addressing production issues involving model behavior, permissions, latency, cost, and consistency.

Design and build real-time, highly concurrent software and cloud-native systems for an AI-powered emergency communications platform. Integrate and deploy LLMs, optimize voice and audio-processing pipelines, and support speech recognition, synthesis, detection, and filtering. Contribute to infrastructure, observability, security, scalability, and fault tolerance. Provide technical leadership through architecture decisions, code reviews, mentoring, and engineering best practices.

Le directeur ou la directrice dirigera la stratégie, la feuille de route et l’équipe de gestion de produits axées sur la croissance des vendeurs et des marchands. La personne optimisera la distribution, la découverte, la conversion et les ventes sur des plateformes de marché et d’infonuagique, établira des partenariats stratégiques et mobilisera les équipes d’ingénierie, de ventes, de marketing, de finance et de réussite client. Le rôle exige une solide expérience commerciale, du leadership produit et une expertise des écosystèmes technologiques.