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Searchable

AI answer visibility analytics platform

GTM Engineer

Sales OperationsConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • At least four years of experience in GTM engineering, Revenue Operations automation, or a technical growth role at a B2B software-as-a-service company.
  • Ability to turn complex problems across multiple data sources into reliable systems the sales team can use.
  • Hands-on experience with Clay, HubSpot, Apollo, Zapier, and n8n, plus Python or JavaScript sufficient to work beyond no-code tools.
  • Use automation to address increasing workloads before seeking additional headcount.
  • Demonstrated results improving conversion rates and reducing manual work for sales development representatives and account executives.

Responsibilities

  • Move more marketing-qualified leads and sales-qualified leads through to demo.
  • Improve sales efficiency and close-won ratios across the business.
  • Build pipeline systems for outbound, inbound, account-based marketing, and sales workflows using tools such as Clay, Apollo, n8n, Zapier, and Clearbit, or build equivalent systems in-house.
  • Create and maintain automated enrichment, lead scoring, routing, and multichannel sequences, delivering three to five scalable experiments or campaigns each month.
  • Convert website and content signals into outbound triggers, account-based plays, and timely follow-ups for the account executive team.
  • Own the go-to-market technology stack, including deliverability, customer relationship management automation, data hygiene, and attribution, and decide what to build or buy.
  • Document systems and create playbooks so the team can understand and repeat the work.
  • Build an outbound engine that uses Searchable data to identify prospects’ AI search performance, generate a personalized proof point, and automatically include it in the first touch.
  • Define and automate qualification rules in HubSpot for handoffs from sales development representatives to account executives, inbound to sales development, and self-service signups to sales; eliminate spreadsheets.
  • Set up intent and signal tracking for website visits, content engagement, competitor mentions, hiring signals, and funding, and route accounts to the appropriate representative within an hour.
  • Use large language models in workflows for research, personalization, lead qualification, and summarizing call notes into customer relationship management fields; build guardrails that make outputs trustworthy to sales representatives.
  • Report weekly on funnel conversions from contact to meeting and meeting to opportunity, broken down by channel, campaign, and representative; identify underperforming sequences and improve them.
  • Train sales development representatives and account executives to use the systems and workflows.

About the Company

Searchable

AI answer visibility analytics platform

Searchable Limited provides an AI search optimization platform that helps brands appear more often in AI-generated answers across models like ChatGPT, Claude, and Perplexity. It works by tracking brand mentions, analyzing “dark traffic,” and offering a visibility dashboard (integrated with Google Analytics 4 and Google Search Console), a content creation engine for AI-optimized content, and an interactive agent for plain-English data queries. Unlike others, it offers cross-model visibility, actionable content optimization, real-time analytics, and a compliance-first approach for UK GDPR and the Digital Services Act. Its goal is to position brands as definitive, trustworthy sources in AI answers and help marketing teams adapt to answer engines.

Company size
11-50
Company stage
Early VC
Total funding
$18.9M
Headquarters
London, United Kingdom
Founded
2025

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