GTM Systems Engineer

At Go1, we’re on a mission to help organizations deliver learning and development in more relevant, timely, and effective ways.From a small startup to now a global brand - we’ve grown by solving hard problems, embracing ambiguity, and never standing still.

If you thrive on change, get energy from big, complex challenges, and are excited to grow fast alongside smart, ambitious people, then Go1 might be exactly what you’re looking for. We offer autonomy with accountability, space to experiment, and the opportunity to shape solutions that impact millions of learners worldwide. We don’t have all the answers — and that’s the point. We figure it out together. Every line of code, every conversation, every bold idea helps move us closer to our mission: to enable individuals, organizations, and society to progress. There’s still so much to build — and even more to discover. Go there with us...

We are looking for a GTM Systems Engineer to design, build and scale the systems that power Go1’s retention engine.This is a hands-on systems engineering role focused on architecture, data, integrations, automation and AI-enabled workflows. You will work across the GTM technology environment and partner closely with Customer Success, Implementation and Learning Services teams to solve the operational problems that most affect GRR, retention and customer value realisation. You will connect systems, improve data models, remove operational friction, introduce reliable automation and create intelligent workflows that help teams make better decisions and act earlier. As part of Go1’s AI-native business operations ambition, you will help shape how Customer Success operates in the future: combining human judgement with trusted data, automation and AI agents.
You will occasionally support existing systems and workflows when needed to keep the lights on. Your primary responsibility will be building a more scalable, intelligent and proactive operating model.
What You’ll Do
GTM Systems Engineering

- Design and improve the systems architecture supporting post-sales execution.

- Build scalable workflows that separate data, business logic and user experience.

- Reduce manual processes, fragmented ownership and unnecessary tooling complexity.

- Establish practical standards for reliability, maintainability, documentation and visibility.

- Translate operational problems into solutions that can be tested, adopted and improved.

Post-Sales Partnership

- Translate Customer Success priorities into scalable systems, workflows and technical solutions.

- Improve Customer Goals, success planning, account planning, stakeholder management, risk workflows, Business Reviews and renewal readiness.

- Support stronger customer value evidence and qualified expansion handoffs.

- Partner with Customer Success, Learning Services, IPM, Data and commercial teams to test and adopt new ways of working.

- Provide targeted support to existing operations when required to maintain continuity

Data, AI and Automation

- Create reliable foundations for reporting, decision-making and AI-enabled workflows.

- Build and maintain integrations using APIs, webhooks, workflow tools and other appropriate technologies.

- Improve data quality and ensure important customer and revenue signals are available where teams need them.

- Build AI-enabled workflows that help CSMs understand accounts, identify risk, prepare for renewals and act on customer signals.

- Connect AI capabilities to live business data and operational systems.

- Test agent experiences that reduce administrative work and improve the quality and speed of post-sales decisions.

- Explore how AI-native operators can work alongside CSMs, Customer Success leaders and cross-functional teams.

- Measure whether automation improves CSM capacity, signal quality, adoption, GRR and retention outcomes.

What You’ll Bring

You will have demonstrated ownership of meaningful systems, automation or integration problems and be r