Go-to-Market Engineer AI-first GTM Engineering - Senseon

About SenseOn

SenseOn is an AI cybersecurity platform helping organisations gain holistic visibility and control of cyber risk. We're building an AI-first go-to-market engine that blends engineering, data, and commercial execution to create pipeline and accelerate customer outcomes.

The role

This is a software-leaning GTM role for someone who can build, ship, and operate. You'll expand and run internal GTM systems (agent workflows, integrations, data pipelines, and internal tools) on a modern cloud stack. You'll work closely with commercial teams to turn GTM needs into reliable, secure, measurable capabilities.

We value people who enjoy end-to-end ownership — defining the problem, shipping the solution, and operating it with high standards.

This role is ideal for an engineer who is excited to apply technical skills to revenue outcomes, communicate clearly with non-technical stakeholders, and develop a strong understanding of cybersecurity.

Working arrangement

We're remote-first and welcome applications globally, including from South Africa. To collaborate effectively, this role requires meaningful working-hours overlap with UK time (typically 4+ hours on most weekdays).

What you'll do

• Build and maintain internal GTM services and automations that support pipeline creation and customer workflows (e.g., routing, enrichment, scoring, orchestration, CRM write-backs).
• Extend and improve our internal agent stack (Apex) and the workflows that power it.
• Use Codex, Claude Code, and Gemini to accelerate delivery, while maintaining strong QA and correctness.
• Build and maintain production-grade integrations via APIs and event-driven patterns (e.g., webhooks).
• Create and maintain automated build/test/deploy pipelines (CI/CD) so changes ship safely and repeatably (e.g., GitHub Actions or equivalent).
• Improve reliability and observability (logs/metrics), and debug issues pragmatically when things break.
• Communicate clearly in writing: what you built, why it works, how to use it, and how to troubleshoot it.
• Build with a security-first mindset: least privilege, safe secrets handling, auditability, defensive defaults.

What success looks like

• Useful GTM capabilities ship regularly and are adopted because they make work faster and higher quality.
• Changes land through a clean CI/CD pipeline with tests and safe deployment practices.
• Systems are secure, observable, and predictable (clear logs, measurable outcomes).
• Agent outputs are consistently high quality due to good prompting, deterministic code wherever possible, evaluation, guardrails, and QA and learning loops.

Requirements

What we're looking for (must-haves)

• Strong practical coding ability with clear evid