Go-to-Market (GTM) Platform Engineer

About the role

The Forward Deployed GTM Engineer is a highly technical builder embedded within the Revenue Operations organization. Working at the intersection of AI application development, GTM strategy, operational systems, and data infrastructure, you will create internal tools, workflows, automations, and AI‑powered applications that help the go‑to‑market team operate more efficiently and scale.

Key responsibilities

• Design, prototype, and deploy AI‑powered internal applications, workflows, and operational tooling that improve GTM execution and seller productivity.
• Build scalable solutions for forecasting, pipeline management, territory planning, quota allocation, value lifecycle management, KYC workflows, industry intelligence, and operational reporting.
• Use prompt engineering, AI orchestration, and agentic workflow design to develop production‑grade operational applications and internal copilots.
• Develop tools and automations that enhance pipeline hygiene, forecasting consistency, operational visibility, and data quality across the GTM organization.
• Partner directly with GTM leadership and operational stakeholders to identify bottlenecks, inefficiencies, and automation opportunities.
• Translate ambiguous business problems into practical technical solutions and iterate rapidly in fast‑moving environments.

Required profile

• Early‑career engineer, recent graduate, Master’s student, or professional with a few years of experience who demonstrates strong technical curiosity and operational intuition.
• Comfortable working in ambiguous, fast‑paced settings and motivated by building systems that directly impact business scale.
• Passion for emerging AI technologies and the ability to learn quickly.

Required skills

• Experience with AI‑native development environments such as Claude, Replit, and Cursor.
• Proficiency in prompt engineering, AI orchestration, and agentic workflow design.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Data Analytics, or a related field.