Why this role stands out
This GTM Engineer role offers significant growth by engineering a novel sales process within an exciting AI marketing startup poised for category definition. You'll thrive if you enjoy building scalable systems and collaborating directly with sales teams to drive efficiency and revenue. Apply to be at the forefront of shaping how brands connect with customers in the AI era.
Quick overview
Job description
About Searchable
Searchable is an agentic marketing platform built for the age of AI search. ChatGPT, Claude, Perplexity and Google AI Overviews have transformed how people discover information. Brands now need to measure and optimise their visibility across all of the major AI search engines.
We help companies grow their organic presence across SEO, AEO, and GEO through a fully agentic platform that identifies opportunities, recommends actions, and automates improvements with Searchable’s AI agent. We’re at $5M ARR in just 10 months, backed by top angels and VCs, and building the team that will define the category.
We’re office-based five days a week near London Bridge. If you thrive in a startup culture where people put in hours because they love solving hard problems and taking radical ownership, you'll fit right in.
About The Role
You see sales process as a system to be engineered, not a list to be worked. You’ll build the enrichment, scoring, routing and sequencing that decide who we contact, when, and what we say, and you’ll build it to keep running on its own long after you’ve moved on to the next thing.
You’ll be selling into a new category, which means there’s no off-the-shelf playbook to copy. You’ll be writing and building the full stack you need working day to day with our London and Salt Lake sales team AEs and SDRs.
What You’ll Do
Focus on taking more MQLs and SQLs through to demo
Focus on creating sales efficiency and improving close won ratios across the business
Build the systems that power our pipeline across outbound, inbound, ABM and sales workflows, using tools such as Clay, Apollo, n8n, Zapier and Clearbit (or building our own)
Create and look after automated enrichment, lead scoring, routing and multi-channel sequences, shipping three to five experiments or campaigns a month that are built to scale
Turn signals from our website and content into outbound triggers, account-based plays and timely follow-ups for the AE team
Take ownership of the entire GTM tech stack, including deliverability, CRM automation, data hygiene and attribution, and make the call on what we build ourselves and what we buy
Write the documentation and playbooks that let anyone on the team understand and repeat what you’ve built
Build the “visibility gap” outbound engine: pull a prospect’s AI search performance from Searchable’s own data, generate a personalised proof point and drop it into the first touch, automatically
Own the handoffs: SDR to AE, inbound to SDR, self-serve signup to sales. Define the qualification rules in HubSpot, enforce them with automation, and kill the spreadsheets
Set up intent and signal tracking (website visits, content engagement, competitor mentions, hiring signals, funding) and route accounts to the right rep within the hour, not the week
Use LLMs inside the workflow: research, personalisation, lead qualification, call note summarisation into CRM fields. Build it with Claude, OpenAI or whatever works, with guard rails so reps trust the output
Report on the funnel weekly: contact to meeting, meeting to opportunity, by channel, by campaign, by rep. If a sequence isn’t converting, you’ll know by Friday and have changed it by Monday
Train the SDRs and AEs on what you build. If reps can’t use it without you in the room, it isn’t finished
What We’re Looking For
At least four years in GTM engineering, RevOps automation or a technical growth role at a B2B SaaS company
Someone who can take a tangled problem spread across multiple data sources and turn it into something the sales team relies on without second-guessing
Real hands-on experience with Clay, HubSpot, Apollo, Zapier and n8n, plus enough Python or JavaScript to carry on when no-code hits its limits
An AI-first mindset: when work piles up, you reach for automation before you reach for a new hire
Proof that your automation has lifted conversion rates and taken manual work off SDRs and AEs
What you can expect from us
Salary: Competitive (DOE)
Meaningful early-stage equity pre Series A
25 days' holiday plus bank holidays
Enhanced salary sacrifice pension
Workplace nursery scheme
Monthly fitness and wellbeing reimbursement
Flexibility in hours – around life and family commitments
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