Go-To-Market Engineer in London

• This high-impact, hands-on role is responsible for owning LILT’s agentic GTM systems: proposing, designing, building, and maintaining the AI-driven tools and automations that power our go-to-market engine, including our Clay-based enrichment and outbound workflows
• You’ll also play a critical role in optimizing our go-to-market technology stack, streamlining our lead-to-opportunity process, and helping to maintain day-to-day department operations
• You’ll work closely with GTM leadership across Sales Development, Sales, Marketing, and Operations and Systems functions to drive process optimization and overall efficiency
• You’ll recommend, build, and run cross-functional projects and process improvements that directly impact our operational efficiency and top-line growth of all revenue lines
• You’ll contribute to the strategy and execution of full-funnel programs that drive predictable, scalable pipeline
• Agentic business systems integration. Propose, design, build, and maintain agentic AI tools and automations that connect and orchestrate our GTM stack end-to-end, reducing manual work and increasing the speed and reliability of our lead-to-revenue motion
• Own Clay and the automation stack. Serve as our resident expert on Clay (and similar enrichment/orchestration tools), building and maintaining tables, waterfalls, and workflows that keep our data accurate and our outbound motion running
• Salesforce lead-to-opportunity. Partner closely with RevOps to own the workflow from a new lead entering the system, through the various lead stages, and converting to an opportunity, including routing, assignment, and the rules that decide who works what
• Full-funnel ownership. Design and optimize the entire lead funnel, from top-of-funnel acquisition through MQL to SQL handoff, driving higher conversion and increased velocity
• Lead and contact data integrity. Work with internal tools and external vendors to maintain a high quality database of contacts across our target industries and personas
• Partner with Sales. Align tightly with revenue leadership to define pipeline goals, campaign targeting, SLAs, and lead management workflows. Sit close enough to the reps to know which parts of the process actually hurt
• Fuel growth. Partner closely with the demand gen team to drive multi-channel campaigns across email marketing, webinars, paid media, SEO, events, outbound motions, and ABM to meet ambitious growth targets
• Use data to scale. Build a data-driven culture. Forecast, measure, and communicate program results, continuously optimizing for ROI and CAC efficiency
• Collaborate cross-functionally. Work across demand gen, product marketing, ADRs, and sales ops to build cohesive, conversion-optimized systems and campaigns
• Department operations. Help with department-level planning for things like managing campaign budget, team meetings and activities, and annual planning
• Documentation and knowledge continuity. Maintain living documentation (Notion) for every agent and workflow you own, to a standard where a new team member or another AI agent could pick up ownership without a live handover call. This is a stated expectation of the role, not an afterthought

Benefits

• Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, plus FSA/DFSA, HSA, and Commuter benefits. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability
• Paid parental leave is provided after 6 months
• Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle
• Compensation: Meaningful equity, 401(k) matching, and flexible time off plus company holidays

Familiarity with marketing automation platforms (HubSpot or similar) a plusA point of view on where AI in GTM is heading. We’ll ask. We’re less interested in whether we agree than in whether you’ve thought about it seriouslyHands-on Clay expertise. You’ve built waterfall enrichment, scoring, and routing in Clay (or a comparable tool), and you can take a new use case from idea to live quicklyAbility to build relationships and work cross-functionallyObsessed with the metrics that matter: MQLs, pipeline, bookings, funnel conversion, velocity, CAC, and ROIWorking proficiency in Python/other languages for building and maintaining AI agent pipelines. Comfortable working inside an existing codebase, not just writing standalone scriptsStrong Salesforce fundamentals. You can build reports, understand the object model and the automation layer, and use what you find to change how the funnel actually performsComfortable reasoning about tradeoffs under cost and token constraints. You can explain not just what you built, but why you didn’t build the more expensive or more complex versionAgentic AI and automation fluency. Comfortable proposing, designing, and building agentic workflows and integrations using APIs, webhooks, and orchestration tools, to connect systems and eliminate manual workSmart, curious, and hard-working3-5 years in B2B SaaS or AI/ML go-to-market engineering, RevOps, or marketing operations, with a track record of building automations that actually shipNatural collaborator and communicator, comfortable presenting to executives, boards, and cross-functional stakeholders

Our Stack

• CRM and RevOps: Salesforce, Default
• Enrichment and orchestration: Clay, ZoomInfo
• Outbound and conversation intelligence: Amplemarket, Trellus
• Inbound and web conversion: Qualified
• Marketing automation: HubSpot
• Analytics: GA4, Salesforce reporting, Looker Studio
• Build environment: Python, LLM APIs, agentic coding tools, Notion for documentation

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