Relex · Posted 1d ago
Senior AI Engineer (Go-to-Market (GTM), AI and Applications)
Job relayed by Stapply Data, its source: you apply there.
- Location
- 🇬🇧 London, United Kingdom
- Contract
- Full-time
- Role
- ML engineering
- Source
- Stapply Data
Stack
- Python
- TypeScript
The posting
Join RELEX's Go-to-Market AI team as a Senior AI Engineer. In this role, you will own the development of AI applications used by our sales team, including Claude and other applications outside of Salesforce. You will design human-in-the-loop processes, ensure context portability, and connect AI to systems around Salesforce. You will also represent sales needs with the AI platform team and build innovative AI applications for the sales division. This position offers a hybrid work environment, health insurance, and an annual bonus.
- Posséder Claude et les applications d'IA en dehors de Salesforce, et être responsable de la construction de l'IA utilisée par les vendeurs de RELEX. - Définir ce que Claude peut lire et changer dans Salesforce et les systèmes connexes, et s'assurer que des garde-fous sont en place. - Concevoir des processus d'interaction humaine, déterminer ce qui fonctionne de manière autonome et ce qui nécessite une intervention humaine.
- Experience integrating with a system of record, such as Salesforce, through its APIs and permission model - Hands-on experience with cloud hosting, covering deployment, secrets, and monitoring - An understanding of how sellers work, and the instinct to keep people’s judgment where it adds value - Clear writing, e.g. for decision requests, definitions of done and documentation - A record of getting things done through teams you don’t manage, such as platform teams, IT, operations and sales leaders - A background in retail, manufacturing, or supply chain - Experience with Claude plugins/skills/hooks, Claude Code, and Anthropic’s API or Agent SDK - Enough Salesforce development (APIs, connected apps, Flows) to work at the seams with our Salesforce engineer - Experience with data protection, e.g. permissions, data residency, and what an AI should and shouldn’t see - Strong knowledge of TypeScript or Python - At least five years of building software, with significant experience building AI applications or agents running in production - Experience with APIs, OAuth and identity, webhooks, and Model Context Protocol - Experience with Sales tools across areas such as sales engagement, lead enrichment, intent, call recording, CPQ, etc