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Senior AI GTM Engineer, AI and Applications

Relex Solutions

Salary undisclosed

London, United KingdomFull-timeOn-siteProficient

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Description

About the role 

RELEX’s GTM AI team in Sales builds the AI our sellers use every day. We work across three areas. Salesforce holds the record and runs the sales motion. Claude is a primary surface on which our sellers work, utilising our plugins, skills and connectors. Around Salesforce and Claude sit the other applications sellers use, including applications built on RELEX’s own AI platform, Cortex. This role owns Claude and AI applications outside of Salesforce, and will be responsible for building the AI that RELEX's sellers work with every day. You’ll decide how it’s built and build it yourself as part of a team. 

What you’ll own 

Claude and other AI within the Sales division 

  • Its plugins, skills and connectors, how they’re organised by role, and how they’re released, supported, and retired.
  • What Claude may read and change in Salesforce and related systems, as well as ensuring there are guardrails in place.
  • Human-in-the-loop design: What runs autonomously, what requires human involvement, and designing AI use that sharpens seller judgment rather than flattening it.  
  • Context Portability: What sellers rely on lives in Salesforce and in maintained sources rather than inside an edge system or locally on a machine, so a change of tool doesn’t lead to context loss or significant change effort.
  • How Claude and other AI models can be utilised within Sales and Sales Operations, from Claude Managed Agents and engineering workflows, to utilisation of emerging models (e.g. Jev). 

Applications 

  • Sales’ applications outside Salesforce: Ownership and development of Cortex applications within Sales and self-built systems outside of Cortex, as well as consultation on other 3rd party tools’ AI capabilities and how they contribute to the overall strategy and integrated ecosystem.
  • How our AI connects to the systems around Salesforce, such as enrichment, intent data, engagement, call recording, content, quotes, and signatures.  
  • Sales’ voice with the AI Platform team: what Sales needs from the platform, and how Sales data reaches it with adequate security and user permissions. 

Quality, safety, and value 

  • Ensuring RELEX’s AI data-handling policy is applied in your areas: what each AI may see, and under whose permissions.
  • How prompts and models are tested before release. 

Technical direction outside Salesforce 

  • Greenfield scope to build innovative AI applications for our Sales division, and the authority to lead its architecture and development.
  • A visible seat at the table, providing technical leadership in your area.
  • Keeping up to date with both Anthropic’s and the platform team’s roadmaps, proposing new capability when it serves a goal, and proposing retirements for what it replaces. 

What you’ll bring 

  • At least five years of building software, with significant experience building AI applications or agents running in production. 
  • Strong knowledge of TypeScript or Python. Experience with APIs, OAuth and identity, and webhooks, as well as Model Context Protocol.
  • 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.
  • Experience with data protection, e.g. permissions, data residency, and what an AI should and shouldn’t see.
  • 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. 

What we’d consider an advantage 

  • 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 Sales tools across areas such as sales engagement, lead enrichment, intent, call recording, CPQ, etc.
  • A background in retail, manufacturing, or supply chain. 

About RELEX

RELEX Solutions creates cutting-edge supply chain and retail planning software. Within our platforms, we have the power and potential to increase adaptability, efficiency, and sustainability in the consumer goods and retail value chain. Our impact is tangible; from sustainability and eliminating waste to delighting customers and delivering great tailored tech solutions, we’re curious and passionate challenge-seekers creating the future of retail today.

We’re currently a global team of 2000+ employees working from offices in the US (Atlanta), UK, Germany, Sweden, Norway, Denmark, France, Italy, Spain, Portugal, Singapore, Australia, and our headquarters in Helsinki, Finland. We work in small teams where everyone’s input is valued. We’re passionate about what we do, we like putting our skills to the test, and we make sure we have fun during the process — because life is supposed to be fun.

RELEX Solutions is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About this role

RELEX's GTM AI team is building the AI layer that sits between Claude, Salesforce, and the broader sales tech stack—and this role owns that entire surface outside of Salesforce itself. You'll architect and build Claude integrations, manage its plugins and connectors, decide what data it can access and modify, and develop AI applications on RELEX's Cortex platform that sellers use daily. The scope is genuinely greenfield: you have authority over technical direction, will shape how autonomous agents work alongside human judgment, and will own the strategy for how emerging AI models serve the sales organization.

This demands someone with at least five years shipping software, including substantial production experience with AI agents or applications. You'll need strong TypeScript or Python, hands-on cloud deployment and monitoring, and real familiarity with APIs, OAuth, webhooks, and Model Context Protocol. Experience integrating with systems of record like Salesforce through its APIs and permission model is essential, as is a working grasp of data protection—what an AI should and shouldn't see. You'll also need the judgment to keep seller expertise central rather than automating it away, and the ability to influence platform teams, IT, and sales leadership without direct authority.

If you've worked with Claude specifically, built Salesforce connected apps, or navigated sales tools across engagement, enrichment, intent, and CPQ, you'll have an edge. The role is in-office in London and suits someone who wants both technical depth and visible leadership in a fast-moving AI space.

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Pay for this role

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