GTM Operations Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a GTM Operations Engineer based in Canada. This role sits at the core of a modern, AI-first revenue engine, where data, automation, and systems design directly shape how go-to-market teams operate. You will be responsible for building the connective infrastructure that links Sales, Marketing, Customer Success, and Product into a single, intelligent operating system. Working hands-on across tools like HubSpot, Clay, and Zapier, you will transform strategy into scalable execution by automating workflows, improving data quality, and enabling real-time decision-making. The role is highly technical and execution-focused, requiring someone who thrives in building systems rather than managing people. You will design the pipelines, scoring models, and automation layers that drive pipeline growth, revenue efficiency, and customer expansion. This is a high-impact, zero-fluff role for someone who enjoys building at speed and seeing immediate business impact. Accountabilities: In this role, you will design, build, and optimize the end-to-end GTM systems and data infrastructure that power revenue generation, customer intelligence, and operational efficiency across the organization. Own and maintain the GTM tech stack, including HubSpot, Clay, Zapier, Apollo, Attention, and data warehouse integrations. Build and optimize automated workflows connecting prospecting, enrichment, CRM, and revenue systems across the full funnel. Design and maintain data architecture that unifies signals from product usage, call intelligence, CRM activity, and external enrichment sources. Develop and enforce data hygiene, validation rules, and de-duplication logic to ensure CRM accuracy and reliability. Build real-time dashboards for pipeline visibility, attribution, conversion metrics, and revenue performance tracking. Design multi-touch attribution models and feedback loops to improve channel efficiency and GTM decision-making. Create account and lead scoring systems using firmographic, behavioral, and intent signals to prioritize high-value opportunities. Build automated enrichment and research pipelines to enhance account intelligence and personalization at scale. Translate GTM strategy into automated outbound workflows, sequencing logic, and trigger-based engagement systems. Implement routing, handoff, and alerting systems that ensure leads and accounts are acted on at the right time with full context. Develop post-sales intelligence workflows to surface expansion opportunities and churn risk signals from product usage and engagement data. Integrate call intelligence outputs into CRM systems to eliminate manual data entry and improve visibility across customer interactions. Requirements: This role requires strong technical depth in GTM systems, hands-on automation experience, and the ability to translate revenue strategy into scalable operational infrastructure. 2–5 years of experience in GTM Ops, Revenue Operations, Sales Operations, or similar technical B2B SaaS roles. Expert-level proficiency with HubSpot, including workflows, lifecycle logic, data models, and automation design. Strong hands-on experience with Clay, including enrichment workflows, AI research agents, and multi-step data pipelines. Experience building automations using Zapier or similar workflow orchestration tools. Familiarity with call intelligence platforms (e.g., Attention or Gong) and integrating outputs into CRM systems. Ability to write and maintain scripts using SQL, Python, or JavaScript for automation and data workflows. Strong data-first mindset, with fluency in metrics such as CAC, conversion rates, pipeline velocity, and attribution. Proven ability to build GTM systems that improve pipeline generation, deal quality, or revenue efficiency. Strong understanding of how Sales, Marketing, and Customer Success functions operate and interconnect. High execution orientation with a builder mindset and preference for hands-on work over management. Benefits: Competitive annual salary ranging from $95,000 to $115,000. Equity participation in a high-growth, mission-driven organization. Fully equipped GTM tech stack with modern automation and AI tooling. Remote and hybrid flexibility based in Toronto. Comprehensive health and wellness coverage from day one. Annual learning budget of $2,000 (“Knowledge Dollars”) for professional development. Flexible PTO including holidays, winter shutdown, birthdays, and additional time off perks. Quarterly team events and a collaborative, high-ownership culture. Opportunity to build foundational revenue systems in a fast-scaling AI healthcare company. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1