AI Systems Analyst

revenue stack. - Architect agent systems that are robust in production with clear error handling, observability, and graceful degradation when upstream data or APIs misbehave. - Build 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. - Evaluate and integrate emerging agentic tooling and patterns, recommending when to build vs. buy and which abstractions are worth investing in. Data Pipelines & Systems Integration - Build and maintain data pipelines that connect Salesforce, outbound tools, enrichment providers, and internal systems, ensuring clean, timely data for agents. - 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: design

schemas, maintain data quality, and build monitoring logic that catches issues before they reach Sales. - Integrate with Salesforce at depth, including custom objects, flows, and automation, to reflect agent outputs accurately in the CRM and downstream reporting. Sales & GTM Team Enablement - Partner 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. - Translate business problems into scoped, shippable agent systems, and surface realistic timelines and trade-offs rather than over-promising what AI can reliably do today. - Build tooling and interfaces that give non-technical teams visibility into agent activity and confidence in the outputs they are acting on. - Rapidly diagnose and resolve failures in production to minimise disruption to selling time. Technical Standards & Team Leverage - Set and maintain engineering standards for how AI systems are built: version control practices, documentation, testing patterns, and deployment hygiene. - Share frameworks, code, and learnings with the broader GTM Engineering team to drive consistency across the function. - Provide clear feedback to inform roadmap prioritisation, surfacing where automation is working, where it is brittle, and where human judgment still beats a model. What We're Looking For Must-Have - 5+ 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. - Hands-on experience building multi-step AI agents using Python and LLM APIs (Claude, OpenAI, or equivalent) in a production context. - Strong Python engineering fundamentals: clean, maintainable, testable code and care about reliability vs. prototype. - Direct experience integrating APIs, webhooks, and event-driven flows using automation tooling (Make, n8n, Zapier, or equivalent) alongside custom Python solutions. - Salesforce proficiency at the configuration layer: custom objects, flows, reporting, and data integrity logic. - Track record of translating ambiguous business problems into scoped, delivered technical solutions; ability to size problems and push back on unrealistic scope. - Strong instincts for system design: observable, recoverable, and without creating maintenance debt. Strong Advantage - Experience designing agent frameworks or shared infrastructure patterns that others build on. - Familiarity with GTM tooling landscape (Clay, O

About the Role At 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. The 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. Agentic Workflow Design & Build - 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