GTM Engineer

About Us Plentific is redefining how property is managed in real time. Our cloud-based platform, supply chain and services help landlords run repairs, maintenance and compliance faster, with the data to make decisions instantly. In the UK, we partner with housing associations and local authorities to tackle the sector's biggest challenges: repairs performance, disrepair, damp and mould, compliance and tenant satisfaction. We're backed by world-class investors including Noa, Highland Europe, Brookfield, Mubadala, RXR Digital Ventures and Target Global. Headquartered in London with a global outlook, we're working towards managing over 2 million properties through our platform. The Role As Commercial AI Ops (GTM Engineer), you'll help change how Plentific's commercial teams work. You'll sit within the Strategy & Go-to-Market team and own the Commercial AI Hub end to end: the skills, automations and AI capabilities that Sales, Customer Success, Marketing and RevOps use every day. The Commercial AI Hub is already live and in use. Your job is to scale it. That means prioritising the roadmap, turning business problems into clear requirements, building and shipping new capabilities, and driving adoption across the commercial organisation. You'll build most things yourself with low-code and AI-native tools. For integrations and larger projects, such as a shared commercial knowledge base or “second brain”, you'll design the solution and then - where required - work with IT and Engineering to deliver it. Alongside the Hub, you'll support commercial leadership on target account prioritisation and sales outreach coordination, and help design and improve the commercial processes the team runs on. This role suits someone who is commercially minded, structured in how they solve problems, and keen to learn how AI can change the way a B2B team sells and serves customers. This role is based in London (hybrid). Responsibilities Commercial AI Hub Ownership • Own the Commercial AI Hub end to end: roadmap, prioritisation, delivery and adoption • Work with Sales, Customer Success, Marketing, Supply Chain and RevOps to find, size and prioritise high-value AI use cases • Gather requirements and turn them into clear scopes, with defined phasing and acceptance criteria • Build and ship skills, automations and AI capabilities with tools such as Claude Cowork, Claude Code and workflow automation platforms • Design larger or integration-heavy projects (e.g. connectors to core systems, a shared knowledge base or “second brain”) and work with IT and Engineering to implement them • Drive adoption by onboarding users, gathering feedback and iterating on what's live • Safeguard compliance with AI governance, data protection (GDPR) and InfoSec/IT standards, working closely with IT on approved tools, access and guardrails • Support commercial leadership with target account list prioritisation through structured analysis, data enrichment and recommendations • Coordinate sales outreach plays with Sales and Marketing, keeping execution aligned and on track, with scope to automate outreach plays over time • Map, design and improve commercial processes, and find where AI or automation can remove friction • Give senior commercial leadership clear updates, analysis and recommendations Skills • Hands-on, builder mindset: you'd rather prototype something than write a long deck about it • Strong grasp of low-code, automation and AI tooling, including prompting, workflow design and light scripting • Able to turn ambiguous business problems into clear requirements and working solutions • Strong stakeholder management: you can influence and align teams without direct authority • Structured, analytical approach to problem-solving and prioritisation • Comm