Top AI Jobs in Ottawa

Drive new business and revenue growth for commercial insurance through pipeline development, consultative selling, client relationship management, and quota attainment. Use CRM, analytics, predictive insights, and AI tools to prioritize opportunities, manage sales cadences, forecast revenue, and identify upsell opportunities. Develop strategic growth plans, conduct market and competitive research, collaborate with service and marketing teams, and serve as a trusted advisor to clients.

Leads 1Password’s analytics engineering function, owning data architecture, roadmap, modeling, semantic layers, BI tooling, pipelines, governance, testing, documentation, and data quality. Manages and develops analytics engineers, establishes technical standards, reviews complex dbt and SQL work, optimizes warehouse performance, and partners with senior leaders across Finance, Marketing, Product, Analytics, and Data Engineering. Builds trusted data foundations supporting company-wide decisions, AI initiatives, and generative BI.

Develops, calibrates, validates, and maintains credit risk models, including PD, LGD, and EAD models, for lending, collections, loss forecasting, capital planning, and stress testing. Analyzes large datasets, evaluates model performance, documents model changes, supports systems testing, and communicates statistical insights to stakeholders and management. Collaborates across the credit union to improve risk-return strategies and reporting.

Lead ShipMonk’s global talent acquisition function across high-volume warehouse hiring, corporate and technology recruiting, and senior searches. Build scalable, data-driven recruiting systems, define hiring metrics, coach recruiters, train hiring managers, shape the talent brand, and introduce AI-enabled recruiting tools. Initially serve as a hands-on player-coach before transitioning to broader team leadership. Travel 25–30% across fulfillment sites and corporate offices.

As a Staff Machine Learning Engineer, you'll lead AI initiatives using large-scale data, optimize ML models for edge devices, and collaborate with cross-functional teams.

Lead Sierra’s largest and most complex enterprise sales opportunities across business units and geographies. Build trusted C-suite relationships, structure multi-million-dollar deals, manage risk and pricing, engage customers alongside founders, and shape strategic account and sales strategy. Use AI tools throughout the sales cycle for research, outreach, forecasting, summarization, and deal execution. The role requires executive-level communication, precision, and experience closing complex six- and seven-figure ACV deals.

Build LanceDB’s revenue marketing function and enterprise demand engine from the ground up. Own account-based marketing strategy, segmentation, campaigns, content, account planning, martech implementation, pipeline reporting, and partner co-marketing. Identify high-intent accounts through open-source and product-usage signals, create tailored omnichannel programs, and collaborate closely with founders, Sales, RevOps, and Partners to source and influence enterprise pipeline.

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.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Lead architecture and technical strategy for AI-driven product quality systems using LLMs and agents. Build scalable evaluation frameworks, detect regressions, generate insights, and drive cross-functional adoption while mentoring engineers and defining standards for trustworthy AI.

Serve as the primary technical advisor for SMB sales opportunities, partnering with Account Executives throughout sales cycles. Lead technical discovery, product demonstrations, proof-of-value engagements, competitive evaluations, security questionnaires, RFPs, and technical documentation. Advise IT, security, developer, DevOps, and executive stakeholders on identity, endpoint, SaaS, secrets, cloud, and AI security solutions. Collaborate cross-functionally to improve demos, playbooks, enablement, and customer education.

Manage the end-to-end sales process for existing financial services clients, focusing on upselling hedge funds, asset managers, investment banks, and sell-side research teams. Responsibilities include prospecting, pipeline development, product demonstrations, trials, relationship management, forecasting, closing sales, and meeting targets. The role partners with marketing and product teams, gathers client feedback, and requires regular client travel.

Leads global strategic sourcing and procurement for digital technology and Food & Nutrition categories. Manages $125M+ in spend, SaaS and professional services suppliers, sourcing strategies, RFPs, contracts, supplier governance, performance, risk, and cost optimization. Partners with senior stakeholders, Legal, Infosec, sourcing teams, and suppliers to support digital transformation, standardization, automation, and commercial objectives.

Lead development and implementation of AI legal and compliance frameworks. Conduct cross-functional AI reviews, maintain governance docs (model cards, impact assessments), partner with engineering on transparency and fairness requirements, build incident response and monitoring processes, and scale AI legal review workflows.

Design, build, and operate production AI systems and marketing data infrastructure. Develop retrieval pipelines, agent orchestration, CDP integrations, ETL/ELT pipelines, and analytics. Automate workflows with AI, ensure data quality and reliability, partner with stakeholders, ship Python and SQL code, mentor engineers, and drive requirements to production.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, including LLM inference infrastructure, RAG, AI agents, and evaluation/observability. Design and run experiments (A/B tests), optimize systems for production performance and reliability, and iterate rapidly with product and design partners.

Lead development and deployment of production-grade generative AI applications for sales enablement. Build copilots, automated outreach, and voice/chat interfaces; work across model experimentation, app development, and infrastructure; partner with revenue ops, product, and engineering to scale AI features that improve efficiency and personalization across the sales funnel.

Lead technical direction and architecture for DAP Repository Flows, design and ship autonomous and scheduled agents that operate on customer repositories, improve DAP onboarding, collaborate across teams on platform interfaces, mentor engineers, and solve high-scale technical problems to raise engineering quality.

The Enterprise Architect will design data-centric systems, lead technical policy implementation, and collaborate with partners while addressing cybersecurity and system architecture requirements.

Lead and own the end-to-end Registry design experience, set vision and KPIs, hire and develop a small design team, use AI-native workflows to prototype and ship cross-platform consumer products, partner with PMs/engineers/analytics, and scale design systems and processes to drive measurable business impact.

Own and administer Salesforce and NetSuite while designing and deploying production-grade AI-driven automations and agent workflows. Ensure data governance, PHI/HIPAA compliance, release management, and quote-to-cash integrity. Partner cross-functionally to prioritize work, coach teams, document systems, and measure impact of automation on operations and revenue.

Provide expert legal and business research to attorneys and staff using advanced research tools; advise on research strategy; manage research workflow; develop training, onboarding, newsletters, and intranet content; evaluate and recommend online resources; support continuous learning and Research Services initiatives.

Lead technical presales for Azure cloud and AI infrastructure: design secure, scalable architectures, drive migrations and modernization (6R, containers, AKS, App Service), run workshops, demos and PoCs, resolve technical blockers, collaborate with account teams and partners, and translate technical solutions into business outcomes for public sector customers.

Build and deploy AI-powered tools and workflows across performance marketing, creative production, CRM, lifecycle, landing pages, growth operations, and product growth. Automate analysis, personalization, campaign execution, content generation, reporting, and anomaly detection. Evaluate AI infrastructure, integrate marketing and data platforms, and partner cross-functionally with Growth, Product, and Engineering to deliver production-grade solutions and improve conversion, retention, and team efficiency.

Lead product vision and strategy for an end-to-end AI-powered software factory. Integrate planning, coding, review, and verification across GitLab Duo Agent Platform and product areas. Collaborate with engineering, design, and GTM teams, identify gaps and dependencies, present recommendations to executives, and drive execution to deliver cohesive developer workflows.