Built to tackle the time-consuming, manual work that gets in the way of real work, our tools automate everything from travel bookings to expenses, invoice processing, and more. By eliminating this shadow work that wastes hours, erodes morale, and saps innovation, we're on a mission to power real work, with real impact. Founded in 2015, Perk has grown into a general company of more than 1,800 people across 12 offices globally, with headquarters in London and Boston.

The Revenue

Systems team sits at the centre of this, responsible for the systems, data, and agents that power how Sales and GTM operate. The AI Revenue Systems Analyst is a senior individual contributor and the technical authority on agentic AI within Revenue Systems. Where the GTM Engineering function owns Clay-based outbound and enrichment infrastructure, the AI Systems Specialist owns the agent layer: the Python-backed workflows, API integrations, and reusable frameworks that let the team ship AI automation faster and more reliably over time.

It is a reusable agent framework that the broader Revenue Systems and GTM Engineering team builds on top of. That means strong engineering instincts alongside strong business judgment: knowing which problems are worth automating, how to build systems that do not break quietly, and how to make your work accessible to non-engineers who depend on it. The role reports to the Senior Manager, Revenue Systems, and works closely with the GTM Engineering team and Sales leadership.





It is a highly visible role with a direct line of sight to commercial outcomes. For this role specifically, working with AI is not a part of the job—it is the job. We will expect you to have strong opinions on where LLMs are actually useful today versus where they are unreliable, how to build systems that behave predictably in production, and where human judgment still beats automation.

We will ask about how you use AI and how you build with it in your interviews, not to test tool knowledge, but to understand how you think. Design, build, and maintain multi-step AI agents using Python and LLM APIs (Claude, OpenAI) that automate research, qualification, routing, and decision-making across the revenue stack. Architect agent systems that are robust in production: with clear error handling, observability, and graceful degradation when upstream data or APIs misbehave.

DATA PIPELINES & SYSTEMS INTEGRATION Build and maintain data pipelines that connect Salesforce, outbound tools, enrichment providers, and internal systems, ensuring the clean, timely data that agents depend on is always available. Engineer API integrations, webhook-driven triggers, and event-based flows using Python, Make, and equivalent automation tooling without requiring engineering support for each new connection. Own the data layer that underpins AI decision-making: designing schemas, maintaining data quality, and ...

📌 IT Systems Analyst (Cataluña)
🏢 Perk
📍 Cataluña