Manager, GTM Engineering

GTM Engineering Manager

At UpGuard, we are replacing manual security bottlenecks with AI-driven precision. Fresh off a US $75M Series C, we are scaling our infrastructure to process 100 billion risk signals daily. This isn't just growth; it's a total reimagining of how the world manages cyber risk.

We build the Cyber Risk Posture Management (CRPM) platform that security teams actually love. By integrating security ratings, threat intel, and agentic AI, we empower organisations to stay ahead of an ever evolving attack surface.

We aren't just building another tool; we're defining a category. We provide the autonomy to ship world-class technology and the resources to do it at a global scale.

GTM Engineering is an established practice at UpGuard and we are looking for someone to manage the function and its future strategy.

Reporting to the VP of Revenue Operations, you will lead an existing team of 2 GTM Engineers. Unlike many other GTM Engineering roles, this one works across the funnel with the customer success function being a key area of focus and responsibility.

This role is supported by Rev Ops' existing GTM Systems team, allowing you to work more exclusively on more complex and custom builds that give us a competitive edge. As the team is small, there is plenty of time to roll up your sleeves and build; but it's more important in this role to support the existing team and drive enablement, adoption of anything built.

• Lead the GTM Engineering team

  • You don't need to always have all the right answers, but you should be comfortable and have experience with managing software engineers. UpGuard's GTM Engineers come from a software engineering background and not a Revenue Operations one

  • Own the automation and AI roadmap for the GTM organisation. You are opinionated on what we should build versus buy and lead this conversation

• Supercharge the GTM Team with Automation & AI

  • Be the subject matter expert on all things automation and AI within GTM teams. You stay across new technologies and trends and are able to guide the improvement of the GTM organization through this period of significant innovation

  • You're familiar with existing LLMs and their constant updates and are able to use them suitably depending on the desired outcome

  • Your fluent with automation platforms like n8n and can build production-level automations that serve large global work forces

  • You stay across new GTM technologies and can make measured decisions around what we might want to invest in or avoid.

  • You're constantly evaluating the automation you build and configuring its level of agency to match the current, appropriate need for a human in the loop.

• Collaboratively Innovate With the GTM organization

  • Ensure that anything built is adopted and utilised in the field. You know that building is only half the effort and ensure users are happy and feedback loops are built.

  • Spot and centralize innovations the GTM team are already making on their own. You use your position of scale to be able to leverage shadow systems created into shared capabilities and help others benefit from what's already working.

  • Thoughtfully democratize automation and AI to the broader GTM organization. This includes documenting solutions, processes, and best practices to ensure knowledge sharing and enable scalability.

  • Contribute to the continued improvement of our Analytics capabilities. While you won't be directly responsible for our central data warehouse, your understanding of the semantic layer's importance will be crucial for bringing your GTM innovation initiatives to life

• Education or significant practical experience with Computer Science, Engineering, Information Systems, or a related technical field.

• Experience leading a team

• 5+ years of experience in a role such as GTM Engineer, Revenue Operations Engineer, Software Engineer, or a similar technical position with a strong focus on GTM, Sales, or Customer Success systems and processes.

• Working fluency with LLM-based systems (prompting, agent design, evaluation) and applied ML concepts such as propensity/intent scoring.

• Proven track record of successfully designing, building, and…