GTM Engineer (Pacific Time)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a GTM Engineer (Pacific Time) based in Canada. We are seeking a technically skilled GTM Engineer to build and optimize the infrastructure powering commercial operations within a fast-growing AI and data infrastructure environment. In this role, you will approach go-to-market operations as an engineering challenge, developing scalable tools, data pipelines, integrations, and automations that accelerate business growth. You will work closely with founders and commercial teams to identify operational bottlenecks and transform complex workflows into efficient, reliable systems. Your work will directly support lead generation, provider sourcing, pipeline management, and revenue operations. You will also explore AI-powered solutions and intelligent agents to improve productivity and automate repetitive processes. This is an engineering-first opportunity offering significant autonomy, technical ownership, and the chance to make a measurable impact in a dynamic, fast-paced environment. Accountabilities: - Take end-to-end ownership of the go-to-market technology stack, including evaluating, selecting, configuring, integrating, and maintaining tools used by commercial teams. - Design and develop scalable sourcing systems, including web scrapers, data collection solutions, and enrichment pipelines to identify relevant data providers and commercial opportunities. - Build and maintain the data infrastructure supporting commercial operations by integrating CRM, marketplace, and product data into reliable, centralized sources of information for pipeline tracking, listings, and revenue reporting. - Develop internal applications and tools that improve provider research, listing quality assurance, sales pipeline management, and revenue forecasting. - Automate repetitive commercial workflows across lead generation, sourcing, qualification, lead routing, and reporting to improve operational efficiency.

- Collaborate directly with founders and commercial stakeholders to identify operational challenges, prioritize high-impact automation initiatives, and translate business needs into technical solutions. - Research, implement, and optimize AI agents and intelligent automation solutions where they offer clear advantages over traditional workflows. - Make strategic build-versus-buy decisions to ensure the GTM technology stack remains efficient, scalable, reliable, and easy to maintain. - Continuously monitor and improve existing systems, ensuring that technical infrastructure evolves alongside business requirements and commercial growth. Requirements: - At least 2 years of professional software engineering experience, ideally involving the development of business-critical tools, applications, or automation systems. - Strong programming skills in Python or TypeScript, combined with fluent SQL knowledge and the ability to work with data-intensive applications. - Hands-on experience building internal tools, workflow automations, and software integrations used by business or operational teams. - Practical experience developing data pipelines and integrating APIs across multiple business systems and platforms. - Strong analytical and problem-solving abilities, with the capacity to understand operational challenges and translate business requirements into practical, scalable technical solutions. - Commercial awareness and a genuine interest in revenue operations, sales processes, and growth strategies, with the ability to prioritize engineering initiatives based on their business impact. - Excellent written communication skills and the ability to collaborate effectively with technical and non-technical stakeholders. - A proactive and autonomous working style, with the ability to take ownership, manage priorities, and deliver results in ambiguous and fast-moving environments.