ph3bAbout the Role /b /h3 pAt Perk, we’re building AI infrastructure that changes how a revenue team operates. The Revenue Systems team sits at the centre, responsible for the systems, data, and agents that power Sales and GTM. The AI Systems Specialist is a senior individual‑contributor and the technical authority on agentic AI within Revenue Systems. This role owns the agent layer: Python‑backed workflows, API integrations, and reusable frameworks that let the team ship AI automation faster and more reliably. The 12‑month goal is a reusable agent framework that the broader teams build on top of. /p pThe role reports to the Senior Manager, Revenue Systems, and works closely with the GTM Engineering team and Sales leadership. It is highly visible with a direct line of sight to commercial outcomes. /p h3bAgentic Workflow Design Build /b /h3 ul liDesign, 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. /li liArchitect agent systems that are robust in production with clear error handling, observability, and graceful degradation when upstream data or APIs misbehave. /li liBuild the reusable agent framework, including shared abstractions, tooling patterns, and integration modules, so the wider Revenue Systems and GTM Engineering team can ship AI workflows without starting from scratch. /li liEvaluate and integrate emerging agentic tooling and patterns, recommending when to build vs. buy and which abstractions are worth investing in. /li /ul h3bData Pipelines Systems Integration /b /h3 ul liBuild and maintain data pipelines that connect Salesforce, outbound tools, enrichment providers, and internal systems, ensuring clean, timely data for agents. /li liEngineer API integrations, webhook‑driven triggers, and event‑based flows using Python, Make, and equivalent automation tooling without requiring engineering support for each new connection. /li liOwn the data layer that underpins AI decision‑making: design schemas, maintain data quality, and build monitoring logic that catches issues before they reach Sales. /li liIntegrate with Salesforce at depth, including custom objects, flows, and automation, to reflect agent outputs accurately in the CRM and downstream reporting.



/li /ul h3bSales GTM Team Enablement /b /h3 ul liPartner with GTM leadership to identify where manual effort can be replaced by intelligent automation, from account research and signal triage to follow‑up sequencing and CRM hygiene. /li liTranslate business problems into scoped, shippable agent systems, and surface realistic timelines and trade‑offs rather than over‑promising what AI can reliably do today. /li liBuild tooling and interfaces that give non‑technical teams visibility into agent activity and confidence in the outputs they are acting on. /li liRapidly diagnose and resolve failures in production to minimise disruption to selling time. /li /ul h3bTechnical Standards Team Leverage /b /h3 ul liSet and maintain engineering standards for how AI systems are built: version control practices, documentation, testing patterns, and deployment hygiene. /li liShare frameworks, code, and learnings with the broader GTM Engineering team to drive consistency across the function. /li liProvide clear feedback to inform roadmap prioritisation, surfacing where automation is working, where it is brittle, and where human judgment still beats a model. /li /ul h3bWhat We’re Looking For /b /h3 h3bMust‑Have /b /h3 ul li5+ years in a technical role building production systems, e.g., GTM Engineering, Revenue Systems, or software engineering with strong GTM exposure in a B2B SaaS environment. /li liHands‑on experience building multi‑step AI agents using Python and LLM APIs (Claude, OpenAI, or equivalent) in a production context. /li liStrong Python engineering fundamentals: clean, maintainable, testable code and care about reliability vs. prototype. /li liDirect experience integrating APIs, webhooks, and event‑driven flows using automation tooling (Make, n8n, Zapier, or equivalent) alongside custom Python solutions. /li liSalesforce proficiency at the configuration layer: custom objects, flows, reporting, and data integrity logic. /li liTrack record of translating ambiguous business problems into scoped, delivered technical solutions; ability to size problems and push back on unrealistic scope.



/li liStrong instincts for system design: observable, recoverable, and without creating maintenance debt. /li /ul h3bStrong Advantage /b /h3 ul liExperience designing agent frameworks or shared infrastructure patterns that others build on. /li liFamiliarity with GTM tooling landscape (Clay, Outreach, Gong, Apollo) and connecting agent outputs into that stack. /li liExposure to conversation intelligence platforms and using call data as input to automated workflows. /li liExperience working in a high‑growth SaaS environment with evolving stack and shifting priorities. /li liPrior work on signal‑based systems using hiring data, funding triggers, intent signals, or similar event streams as inputs to automated decision‑making. /li /ul h3bWhat We Offer /b /h3 ul liCompetitive compensation and equity ownership in Perk. /li liGenerous vacation days plus public holidays. /li liChoice of private healthcare or gym allowance. /li liLife Insurance protection for loved ones. /li liCompany events, including an annual summer party. /li liSpring Health wellbeing program with therapy and coaching sessions. /li liFlexible compensation plan. /li li17 weeks’ paid parental leave during child’s first year. /li li16 paid hours per year to volunteer for charitable causes. /li liUp to 20 “Work from Anywhere” days per year. /li liIn‑person English, Spanish, and Catalan lessons. /li liFour‑week fully paid sabbatical after five years. /li liRelocation support to any of our hubs. /li /ul h3bAI at Perk /b /h3 pAI is embedded in how we work across every function. It allows us to research and prioritize accounts, draft and refine outreach, handle customer interactions more effectively, synthesize information, and cut through shadow work. We expect you to be curious and intentional about AI, knowing when it improves your work, when to verify its outputs, and when to rely on human expertise. /p h3bHow We Work /b /h3 pPerk follows an IRL‑first approach. The team works together in person three days a week, so this role requires you to be within commuting distance of our hubs. For certain roles we can help with relocation from anywhere in the world. English is the official office language; please submit your résumé in English. /p pWe are an equal‑opportunity employer and welcome people of all backgrounds. /p /p #J-18808-Ljbffr

📌 AI Systems Analyst (Barcelona)
🏢 Perk
📍 Barcelona