GTM Engineer

About our client

Our client is composed of a team of passionate tech experts, seasoned industry professionals, and experienced hoteliers who have come together to tackle the revenue management challenges hotels face. By combining deep industry knowledge with innovative AI-driven technology, our client helps hotels optimize pricing, increase profitability, and streamline operations.

Our client provides a fast-growing next-generation revenue management solution (RMS) designed to empower hotel revenue managers with data-driven pricing, forecasting, and yield optimization capabilities. Our client's platform leverages advanced AI, predictive analytics, and real-time market insights to help clients maximize profitability and streamline operations. Our client is scaling quickly and looking for ambitious team members to help build the future of hospitality tech.

Role Overview

The Go-To-Market Engineer sits at the intersection of sales, marketing, data, and automation. This role is responsible for designing, building, and optimizing the technical infrastructure behind our client's revenue engine.

This is a hands-on builder role focused on CRM architecture, automation workflows, enrichment pipelines, outbound infrastructure, analytics, and experimentation frameworks.

The successful candidate will be based within commutable distance of our client's office in Saint-Laurent, Montreal, working in a hybrid work model!

What your day will look like:

Revenue Systems Architecture

• Own and optimize CRM architecture (HubSpot preferred)
• Design lifecycle stages, pipeline structure, and attribution logic
• Build automated workflows for lead routing, scoring, nurturing, and lifecycle progression
• Ensure data cleanliness, integrity, and reporting accuracy
• Document scalable GTM systems and processes

Automation and Infrastructure

• Implement automation across marketing and sales systems
• Connect tools via APIs, webhooks, Zapier/Make, or native integrations
• Build and maintain outbound infrastructure (domains, sending tools, tracking, sequencing)
• Manage enrichment tools and prospecting platforms
• Improve deliverability and technical performance of outbound systems

Data and Analytics

• Develop dashboards for pipeline, funnel performance, CAC, LTV, and conversion metrics
• Create attribution models to measure campaign impact
• Analyze GTM experiments and provide actionable insights
• Support forecasting and revenue planning

Experimentation and Growth Engineering

• Run and instrument outbound experiments (ICP testing, messaging, segmentation)
• Optimize acquisition funnels and conversion points
• Identify bottlenecks and design systematic improvements
• Continuously improve conversion rates across the revenue lifecycle

Cross-Functional Collaboration

• Partner closely with Sales, Marketing, and Leadership
• Improve pipeline velocity and sales efficiency
• Support expansion and new market initiatives
• Provide structured reporting and strategic insights to the CEO

Requirements

About You:

Core Qualifications

• 2–5+ years in RevOps, Growth Engineering, Sales Ops, or similar role
• Strong experience with HubSpot (preferred) or Salesforce
• Understanding of B2B SaaS revenue funnels
• Experience with marketing automation tools
• Familiarity with APIs and system integrations
• Strong analytical and systems-thinking mindset
• Flunet in English, both written and verbal, is essential
• Legally authorized to work in Canada

Technical Competencies

• CRM configuration and workflow automation
• Data enrichment and segmentation
• Attribution modeling and funnel reporting
• SQL or advanced spreadsheet modeling skills
• Experience with tools such as:
• HubSpot
• Apollo / ZoomInfo
• Clay
• Zapier / Make
• Outreach / Salesloft
• GA4 or similar analytics tools

Bonus Qualifications

• Experience in early-stage or high-growth SaaS environments
• Exposure to AI-driven automation tools
• Light scripting experience (Python or JavaScript)
• Experience optimizing email deliverability infrastructure

What Success Looks Like:

Within 90 days:

• CRM architecture is clean, scalable, and documented
• Automated lead routing and lifecycle workflows are operational
• Clear dashboards exist for funnel health and revenue metrics
• Initial GTM experiments are running consistently

Within 6 months:

• Measurable improvements in pipeline velocity and conversion rates
• Clear attribution visibility across channels
• Outbound and inbound infrastructure fully optimized
• Scalable growth systems supporting sustained revenue expansion