About the job
At Profound, we are dedicated to empowering businesses to comprehend and manage their AI presence effectively. With the anticipation that many organizations will select their long-term AI technology partners within the next nine months, we aim for Profound to be their top choice.
As a Go-To-Market (GTM) Engineer, you will develop the essential infrastructure that propels our entire go-to-market strategy. Blending the roles of a systems architect and a problem solver, you will pinpoint bottlenecks throughout the organization, devise automated solutions, and create tools that enhance the efficiency of every team. Your contributions will significantly impact the scalability of our Sales, Customer Success, Marketing, and Operations departments.
Key Responsibilities
Independently identify high-impact issues by collaborating with Sales, Customer Success, Marketing, and Operations teams to uncover efficiency gaps and prioritize high-value projects.
Develop scalable automation systems by designing and executing agentic workflows utilizing tools such as n8n, Claude API, MCP servers, and other AI-native platforms.
Create tools that empower others to operate independently rather than managing them directly.
Take ownership of the complete technical stack, including data pipelines, API integrations, schema design, and automation platforms to harmonize various systems.
Deliver practical tools that are actively used, with a focus on not only deployment but also user enablement and adoption.
Approach data architecturally, understanding the flow of information within the organization and structuring schemas that facilitate intelligent automation.
Engage in continuous experimentation with emerging platforms, APIs, and AI-native tools to remain at the forefront of rapid industry evolution.
Candidate Profile
A proactive builder capable of identifying problems, designing effective solutions, and delivering functional tools with minimal oversight.
Technically adept with proficiency in coding with Python or JavaScript, creating solutions in n8n, integrating APIs, and understanding data architecture principles.
An AI-native thinker who instinctively considers automation possibilities and frequently experiments with agents, MCP, and workflow frameworks.
A quick learner with a strong inclination to rapidly adopt new tools and systems.
A systems-oriented thinker who recognizes how components interconnect and can design solutions that generate cumulative value.
Pragmatic in decision-making regarding build versus buy, with an understanding of when to utilize existing tools.

