GTM Operations Engineer
New
CanadaFull-TimeMiddle
Salary95,000 - 115,000 USD per year
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Job Details
- Experience
- 2–5 years
- Required Skills
- PythonSQLJavascriptCRMHubSpot
Requirements
- 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.
Responsibilities
- 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.
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