Top Tech Jobs & Startup Jobs

Reviews institutional-grade commercial real estate appraisals across approximately 50 funds, evaluating valuation methodologies, assumptions, cap rates, discount rates, and supporting analysis. Communicates review findings, supports portfolio valuation oversight, collaborates with internal and external appraisal professionals, and contributes to process improvement and AI integration. The role requires commercial real estate appraisal expertise, Argus Enterprise proficiency, a Certified General Appraiser license, and progress toward the MAI designation.

Provides technical leadership for a scalable data engineering platform on Databricks. Designs reusable frameworks, production pipelines, engineering standards, monitoring, and operational practices using Python, SQL, and Spark. Partners with Architecture, Data Science, ML Engineering, Product, and technology teams to integrate data capabilities, translate commercial real estate requirements, mentor engineers, conduct code reviews, and influence cross-team technical direction.

Designs, builds, and operates scalable batch and streaming data pipelines and cloud data infrastructure using Databricks and related technologies. The role focuses on data modeling, orchestration, quality checks, lineage, monitoring, access controls, and reusable engineering frameworks. The engineer partners with Data Scientists, ML Engineers, and platform teams, contributes to architectural decisions and technical standards, troubleshoots production issues, reviews code, documents practices, and mentors junior engineers.

Research residential real estate markets in Calgary and Edmonton by validating, updating, and auditing secondary market data. Review broker reports, government websites, press releases, and stakeholder information; resolve data issues; support primary research; maintain historical records; respond to client inquiries; and conduct site visits and industry networking. The role requires strong analytical, data-entry, organizational, communication, and relationship-building skills, along with proficiency in Microsoft Office applications.

Research residential real estate markets in the Greater Toronto Area, validate and update market data, resolve data quality issues, conduct secondary research, support primary research preparation, respond to client inquiries, and maintain relationships with brokers and property stakeholders. The role includes site visits, historical data updates, cross-functional collaboration, and use of database and office productivity applications.

Conduct commercial real estate research across Ottawa by collecting, verifying, analyzing, and publishing transaction, listing, development, and market data. The role includes database and land registry research, stakeholder outreach, site visits, data quality audits, market trend analysis, report and newsletter contributions, and use of GIS, CRM, analytics, and AI tools. The analyst will build relationships with industry professionals, support client-facing intelligence products, and contribute to automation and workflow improvements.

Leads the design, development, deployment, and commercialization of enterprise AI capabilities for the ARGUS Intelligence Platform. Builds LLM applications, agentic workflows, intelligent data extraction, AI analytics, and domain-specific models. Establishes AI/ML engineering standards, governance, testing, deployment, and reliability practices; evaluates emerging technologies; guides architecture and model strategy; mentors engineers; and collaborates with Product, Engineering, Architecture, Data, and Analytics teams.

Leads global integrated go-to-market campaigns connecting Product, Marketing, and Commercial teams. Develops campaign strategies, messaging architecture, audience plans, sales plays, playbooks, and measurement frameworks supporting acquisition, expansion, retention, and product adoption. Establishes scalable GTM processes, partners across global regions, optimizes campaigns using performance data, and builds a distributed team of campaign strategists and program managers. The role requires strong B2B technology marketing, SaaS GTM, commercial strategy, analytics, and AI-enabled marketing experience.

Leads global sales compensation strategy and end-to-end incentive plan administration. Responsibilities include plan design, quota methodology, modeling, budgeting, commission payout cycles, audits, reporting, governance, automation, and dispute resolution. Partners with Sales, Finance, HR, IT, Legal, payroll, and leadership to maintain accurate compensation data and scalable processes. Administers Xactly Incent and Analytics, configures plans, develops rules and formulas, supports system enhancements, and communicates plan changes to the sales organization.

Leads Altus Group’s global brand narrative and integrated content strategy across markets, audiences, and channels. Defines positioning, messaging, editorial standards, workflows, governance, budgets, KPIs, and performance improvements. Translates product strategy, proprietary data, and industry expertise into compelling stories while partnering with marketing, PR, research, sales, executives, and subject matter experts. Manages and develops the Brand and Content team and guides strategic execution across a global matrixed organization.