Staff GTM Engineer

Role overview Own the design and operation of AI applications, agents, and data pipelines used by sales, marketing, and customer success teams. This hands-on engineering role combines production development with technical direction, helping revenue teams work more effectively through reliable, well-observed services.

Responsibilities - Build and operate AI agents and services that support revenue workflows, including lead scoring, enrichment, routing, and summarization. - Set technical direction for AI applications across go-to-market teams and turn operational needs into maintainable software. - Connect go-to-market systems through APIs, data models, SQL, and dependable data pipelines. - Apply engineering practices such as testing, code review, continuous delivery, monitoring, and alerting. - Work with operations, analytics, engineering, and security partners to assess requirements and explain technical tradeoffs.

Requirements - At least six years of engineering experience, including responsibility for production tools from design through ongoing operation. - Experience integrating go-to-market workflows and systems, such as CRM, sales engagement, or customer success tools. - Experience building production AI agents using techniques such as retrieval-augmented generation, tool calling, evaluation, and observability. - Strong coding practices, including writing tested, maintainable code and using version control, reviews, and debugging. - Experience operating cloud services on AWS or GCP, with containers or serverless infrastructure, infrastructure as code, and CI/CD. - Ability to use SQL and data modeling, and to work effectively with nontechnical stakeholders.

Benefits and work setup - Remote opportunity within the United States or Canada; go-to-market hires attend onboarding in Toronto. - Benefits include health coverage, paid time off, parental leave top-ups, retirement matching, and paid volunteer days. - Occasional travel may be required; leadership roles may travel about monthly.