Urban Digital Recruitment Ltd
Founding GTM System Lead (AI Automation) - B2B SaaS
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Founding GTM System Lead (AI Automation) - B2B SaaS
Founding GTM System Lead (AI Automation) - B2B SaaS London W1 | 4 days in-office/1 wfh To £80k + equity
A well-funded, early-stage AI company building an agentic platform for account management and client service teams is hiring its founding AI automation systems hire. This is a zero-to-one systems role - not a campaign manager, not a lead gen executor, but a GTM architect who can design and run the whole commercial engine from 0-1.
The product uses AI agents, communication data and workflow automation to help B2B teams detect relationship risk, surface expansion opportunities and manage accounts at scale. You'll need to understand it deeply - and take it to market.
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What you'll own Build the AI-native GTM operating system from scratch Design workflows across LinkedIn, Apollo, Clay, CRM and AI tooling Turn product signals and use cases into outbound narratives and campaigns Automate research, enrichment and account prioritisation Work directly with the founders on commercial strategy and execution
You're probably a fit if you Think in systems, workflows and signals - not just channels Have hands-on experience with LinkedIn outreach, Clay, Apollo or similar Are comfortable in ambiguity and love building without a playbook Have worked in or around B2B SaaS, AI or agentic tooling Have strong commercial instincts and a builder's mentality
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This probably isn't for you if Your background is primarily paid social or campaign optimisation You have built only AI automation sequences for marketing campaigns You prefer mature structures and defined processes You're focused on top-of-funnel lead gen without interest in how the full system connects
Why Join? Work directly with the founders Build the GTM engine from the ground up Help shape how an AI-agent product is taken to market Operate at the forefront of AI-native GTM systems High ownership and autonomy Equity participation Rare opportunity to define how product, signals, workflows and commercial execution come together inside a real AI business
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