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Customer Support Lead

Searchable
CompanySearchable
CategoryCustomer Support
LocationLondon
RemoteOn-site (inferred)
EmploymentNot stated
LevelLead
SalaryNot stated by the employer
Posted16 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (ashby)
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Description
About Searchable Searchable is the analytics and agentic platform for AI Search. As ChatGPT, Claude, Perplexity, and Google AI Overviews reshape how people discover information, brands need new ways to measure and optimise their visibility across both traditional and generative search.   We help companies grow their organic presence across SEO, AEO, and GEO through a fully agentic platform that identifies opportunities, recommends actions, and automates fixes. We’re at $3M ARR, backed by top angels and VCs, and building the team that will define the category. The role Build the support function that keeps our customers winning in AI Search. Our customers are moving fast in a category that did not exist two years ago, and when they hit a wall they need answers that are quick, sharp, and informed. Right now, support at Searchable is handled by our GTM and Customer Success team. We want to change that. You'll be the person to own it. You will be our first dedicated support hire: personally working the queue today, and building the standards, processes, and eventually the team that make Searchable support a reason customers stay. This is a hands-on role now with a real opportunity for ownership. You build the machine while you run it. This role is technically deep. You aren't shipping production code, but you must master the mechanics of our platform, from data ingestion and AI engine prompts to the final scoring and surfacing of results. You'll be expected to troubleshoot from first principles, identifying exactly where in the chain a system failed, and ensuring you have a clear diagnosis before escalating any genuine errors. What you'll do - Own the queue: Be the first human our customers reach when something breaks or confuses them. Triage, prioritise, and resolve queries across email and Slack within business hours, with in-app chat coming soon. - Be accountable for queue health: Response times, backlog, and the promise that nothing slips through the cracks. That's yours. - Troubleshoot the product with real depth: Reproduce issues, reason from first principles about where in the system something broke, and get to the root cause before you escalate. When you do escalate, your write-ups are crisp and reproducible enough that engineering can act on them immediately. - Use AI to multiply your output: Draft and sharpen responses, interrogate data and logs, build your own tools and skills, and turn tickets into knowledge-base content faster. We expect the person in this seat to run at a level that would have taken a small team a few years ago. - Build the knowledge base: Turn every recurring question into self-service, so customers get answers faster and the queue gets lighter. - Be the voice of the customer: Spot patterns in what's breaking or confusing, and bring them to product and engineering every week. - Set the standard: Define how support works here from scratch, from SLAs and tagging to what "a great reply" looks like. As we grow, you'll set the quality bar for a blended in-house and outsourced team. - Work the seams with Success: Our CSMs own the deeper strategic relationships. You own the day-to-day for everyone. You'll build the handoff that makes that feel seamless to customers. Who you are - 2-4 years in customer-facing support at a B2B SaaS company, ideally a technical one. You've lived in a ticket queue, not just on relationship calls. - Technically deep, in how you think. You don't need to write code, but you need to understand systems: how data flows, why an integration fails, what a stack trace or API response is telling you. You build accurate mental models of how things work and enjoy taking them apart. - A first-principles troubleshooter. Faced with something weird, your instinct is to reason about causes, not to guess. You're comfortable in API docs, logs, and data. - Fluent with AI as a force multiplier. You already use AI tools to raise your own leverage:
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