Top AI Jobs in Calgary

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.

Enterprise Architect responsible for designing scalable technical solutions and architectures for strategic accounts across network virtualization, hybrid cloud, Edge AI, and managed services. The role combines technical consulting, value-based solution selling, customer relationship development, proposal creation, demonstrations, account planning, pipeline development, and sales forecasting. The architect translates customer business needs into technical designs, supports complex sales opportunities, leverages partner ecosystems, and presents transformation strategies to executives and stakeholders.

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.

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 operational and financial analytics for orthodontic practices and corporate stakeholders. Designs Power BI dashboards, scorecards, forecasting models, and performance frameworks; analyzes costs, profitability, staffing, and operational drivers; conducts variance analysis and strategic modeling; ensures data integrity; and presents actionable insights to executives and business leaders. The role also advises practices, supports process improvement, and drives adoption of reporting across a distributed network.

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.

Supports compliance and internal control activities, including operational audits, control effectiveness reviews, ICFR compliance, and regulatory monitoring. Prepares evidence-based audit reports, maintains compliance records, assists with investigations, and identifies control weaknesses and risks. The role focuses initially on contract revenue and vendor management and collaborates with Corporate Finance and other internal stakeholders. Candidates should have finance or accounting experience, strong analytical and communication skills, advanced Excel proficiency, and interest in pursuing the Certified Internal Auditor designation.

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.

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.

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.

Owns product strategy and roadmap for Clio’s fintech payments products. Conducts customer and market research, prioritizes initiatives, develops business cases, uses quantitative data to guide decisions, and delivers measurable business outcomes. Partners closely with engineering and design, communicates product direction across the company, understands customer needs, and coaches other Product Managers. Experience with fintech, payments, billing, accounting, and scaling payment businesses is valued.

Manages strategy, discovery, roadmap development, prioritization, delivery, adoption, and continuous improvement for an AI-enabled digital workflow product. Translates customer and business needs into product capabilities, collaborates with UX, engineering, data, and AI teams, defines requirements and success metrics, validates concepts, supports launches, and drives measurable user and business outcomes.

Leads corporate strategy and AI-enabled operational transformation at Clio. Partners with cross-functional teams to identify high-value opportunities, prototype and ship internal agents, workflows, and automations, test solutions, and drive adoption. Contributes to market assessments, business strategy, investment cases, performance analysis, OKRs, executive planning, business reviews, and board discussions. Requires strategic judgment, analytical ability, technical fluency, stakeholder management, responsible AI judgment, and strong communication.

Coordinates marketing events and partnership programs, handling vendors, payments, contracts, logistics, communications, reporting, documentation, and project support. Maintains calendars, shared resources, inboxes, websites, and knowledge systems while assisting ClioCon and other engagement initiatives. Uses AI and automation to improve workflows, supports partner onboarding, communicates project status, and helps stakeholders deliver efficient, measurable programs.

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.

Owns enterprise data-services product roadmaps, backlogs, specifications, prioritization, delivery, adoption, and success metrics. Partners with UX, engineering, AI, data, and energy-domain experts to transform advisory workflows and deliver secure, integrated, AI-enabled platform capabilities. Leads discovery, cross-functional delivery, rollout, stakeholder communication, and continuous improvement across global user groups.

Lead go-to-market and product adoption efforts for SaaS product portfolios. Responsibilities include positioning and messaging, feature launches, adoption programs, internal enablement, customer research, market and competitive analysis, campaign experimentation, and performance reporting. The role partners cross-functionally with product, sales, customer success, support, and revenue operations teams to improve product engagement, retention, and customer outcomes.

Leads the Liquids Pipelines data modernization roadmap, delivering scalable data pipelines, curated datasets, analytics, dashboards, automation, and AI-enabled solutions. Translates business and operational needs into technical designs, data models, governance practices, and multiyear delivery plans. Focus areas include power cost optimization, operational performance, data quality, and executive reporting. Partners with stakeholders and platform teams while mentoring analysts and advisors and guiding solutions from concept through sustainment.

Owns Clio’s business continuity, incident management, and disaster recovery programs. Responsibilities include designing tabletop exercises, coordinating DR tests, administering incident tooling, analyzing incident metrics, maintaining recovery plans and RTO/RPO targets, driving remediation actions, managing the resilience roadmap, and supporting crisis response and cyber recovery. The role requires cross-functional leadership, clear communication, hands-on program administration, and calm decision-making during high-pressure incidents.

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.