Manager, GTM Engineering

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 workforces 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

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

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 workforces

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.

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 delivering complex technical solutions (e.g., custom applications, sophisticated integrations, advanced automation workflows) in a GTM or customer-facing context.

Someone comfortable with owning a number and being accountable for contributing to GTM metrics like pipeline for both new logo and expansion.

A high-impact role where your work will directly accelerate revenue growth.

The chance to eliminate inefficiencies and transform how our sales and CS teams operate.

Work with cutting-edge AI and automation tools to create scalable, future-proof solutions.

A culture that values innovation, efficiency, and making data-driven decisions.