Senior GTM Engineer

Location: St James's

Our client is a business travel and expense technology company. About Us Our client (formerly our client) is the intelligent platform for travel and spend management. Built to tackle the time-consuming, manual work that gets in the way of real work, our tools automate everything from travel bookings to expenses, invoice processing, and more. By eliminating this shadow work that wastes hours, erodes morale, and saps innovation, we're on a mission to power real work, with real impact.

We're trusted by more than 12,000 companies worldwide, including On Running, Breitling, and Fabletics, and we're tackling the 7 hours of lost productivity per employee each week, a $1.7 trillion problem. Founded in 2015, our client has grown into a global company of more than 1,800 people across 12 offices globally, with headquarters in London and Boston. We combine innovation, control, and simplicity to transform how businesses work and how people feel 're driven by our values, like being an owner, delivering a 7-star experience, and working as one team.

We value curiosity, purpose, and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel, fintech, and SaaS industries, representing over 70 countries. If you're excited about having a real impact and shaping how millions of people experience work, we'd love you on the team. Visit to learn more.

The Role Our client is building a modern, AI-powered outbound and pipeline generation motion in close partnership with Sales and Marketing leadership. The Revenue Systems and GTM Engineering function sits at the centre of this transformation, designing and operating the data infrastructure, Clay-based enrichment systems, and AI-driven workflows that enable our revenue teams to execute s is not a traditional Rev Ops or systems admin role.

The Senior GTM Engineer is a hands-on builder: someone who constructs sophisticated Clay workflows from scratch, engineers AI-powered enrichment pipelines, and translates signal-based prospecting strategies into production-ready systems. As AI continues to reshape B2B sales, this role is responsible for staying ahead of the curve and identifying where LLMs, AI agents, and intelligent automation can replace manual effort and improve outbound precision.

The role reports to the Senior Manager, Revenue Systems, and works closely with the central GTM Engineering team, Revenue Operations, and Sales leadership. It offers a direct, visible impact on how our client builds and scales its commercial engine. What You'll Do Clay Engineering & AI-Powered Outbound Infrastructure Own the design, build, and maintenance of Clay tables, waterfall enrichment flows, and AI column logic that power our client's outbound engine.

Engineer multi-step Clay workflows using webhooks, HTTP API integrations, and conditional branching to automate account and contact sourcing ld and iterate on AI prompt layers within Clay using LLM columns to generate personalised outreach snippets, research account context, and qualify leads programmatically. Construct and maintain signal-based prospecting systems that ingest buying triggers (hiring signals, funding events, intent data) and route them into prioritised Clay tables for Sales activation.

Integrate Clay with Salesforce, Outreach, and data providers (Clearbit, Apollo, Linked In, Predict Leads, and others) to maintain clean, enriched, and timely GTM data. AI Workflow Design & Automation Evaluate and implement AI tooling, including LLM-based research agents, AI SDRs, and prompt-engineered enrichment flows, to scale outbound relevance without scaling headcount. Design and maintain Outreach sequences that incorporate AI-generated personalisation, ensuring high-volume dialling and email campaigns feel 1:1 ntify and automate repetitive GTM operations (list building, data hygiene, routing, deduplication) using Clay, Make, and custom API scripts.

Maintain a working knowledge of the AI GTM vendor landscape and bring forward well-reasoned recommendations on new tooling. Data Quality & Enrichment Architecture Own TAM sourcing and enrichment workflows, building waterfall logic that sequences providers (e.g. Clearbit - Fullenrich - Linked In) to maximise contact coverage and data completeness. This includes engineering matching logic and scoring systems to accurately identify net-new accounts against existing CRM data (using identifiers like domain, Linked In, and country) before routing…