GTM Architect​/RevOps Specialist

Requirements

• This is a hands‑on role for someone early in their career who’s curious, resourceful, and excited about using AI and automation to solve real business problems
• You don’t need to have done this exact job before – but you do need to be a person who figures things out
• Detail‑obsessed about data quality. You know that bad data breaks everything downstream. You care about getting it right and have the patience to fix it properly
• Comfortable learning new tools fast. You don’t need to know every platform already – but you pick things up quickly and enjoy figuring out how systems work
• Excited about AI, not just aware of it. You’re already using AI in your work. You understand what Claude (or similar) can and can’t do, and you have a sense of where automation adds real value vs. where it creates noise
• Commercially curious. You understand why clean pipeline data and accurate AE reporting matter – not just technically, but for the business. You want your work to have a visible impact on how the sales team performs
• 1+ years of experience in a Rev Ops, sales operations, or systems‑focused role
• Hands‑on experience with Hub Spot – building reports, managing contacts, creating workflows
• Comfortable working with data – spotting errors, cleaning records, structuring fields logically
• Some exposure to automation tools (Hub Spot workflows, Clay, Make, Zapier, or similar) – you don’t need to be an expert but you need to understand how they work
• Familiarity with AI tools in a work context – ideally Claude, ChatGPT, or similar applied to real tasks
• Bonus: experience in or alongside a sales or SDR team – you understand the tools and workflows from the other side
• Bonus: exposure to tools like Lusha, Symbo, or Clay for prospecting and enrichment

• We’re looking for a GTM Architect to help us build a smarter, faster, AI‑powered go‑to‑market engine
• This is a technical but commercially‑minded role – you’ll sit at the intersection of data quality, automation, and sales operations, helping our team spend less time on manual work and more time closing
• You’ll report into the Go to Market Lead and work closely with leadership and ops. You’ll be one of the people who shapes how we use AI across the GTM team – this isn’t a maintenance role, it’s a build role
• Make our Hub Spot data trustworthy. Audit, clean, and structure our CRM so it’s accurate, consistent, and ready to be used by AI – fixing records, standardising fields, and building validation rules that keep it clean going forward
• Build AI agents that run top‑of‑funnel for our AEs. We want AEs focused on one thing: running great demos. Everything before that – prospecting, sequencing, personalised outreach, follow‑ups – should be handled by agents you build. You’ll design and deploy these using Claude, Hub Spot, and automation platforms, handing off to a human only when a demo is booked
• Support data enrichment ld and run a central enrichment process using AI and tools to keep contact and account data accurate without manual research overhead
• Manage and connect our sales tech stack. Own the administration of Hub Spot, Lusha, Symbo etc. Keep tools integrated, data flowing correctly, and the team getting value from them