GTM Engineer

LILT AI
London
Workplace: HybridFull timeFunction: Software EngineeringSkills: ["Cross-functional collaboration","Communication","Metrics-focused thinking","Relationship building","Reasoning about tradeoffs"]

Build and maintain agentic go-to-market systems that power LILT’s lead-to-revenue motion. Own Clay-based enrichment and outbound workflows, optimize the lead-to-opportunity process in Salesforce with RevOps, and design the full funnel from acquisition through MQL to SQL. Partner across Sales Development, Sales, Marketing, and Operations to improve conversion, velocity, and ROI while keeping data integrity strong and workflows reliably automated.

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FursaFursa
LILT AI
LILT AI
2 days ago

GTM Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build and maintain agentic go-to-market systems that power LILT’s lead-to-revenue motion. Own Clay-based enrichment and outbound workflows, optimize the lead-to-opportunity process in Salesforce with RevOps, and design the full funnel from acquisition through MQL to SQL. Partner across Sales Development, Sales, Marketing, and Operations to improve conversion, velocity, and ROI while keeping data integrity strong and workflows reliably automated.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Propose, design, build, and maintain agentic AI tools and automations that integrate and orchestrate the GTM stack end-to-end.
  • •Serve as the resident expert for Clay, building and maintaining enrichment, waterfalls, and workflows to keep outbound motion accurate and reliable.
  • •Own the Salesforce lead-to-opportunity workflow with RevOps, including routing, assignment, and lead-stage rules.
  • •Design and optimize the full lead funnel from top-of-funnel acquisition through MQL to SQL handoff to improve conversion and velocity.
  • •Maintain lead and contact data integrity by working with internal tools and external vendors to keep the database accurate.

Key Requirements

  • •3-5 years in B2B SaaS or AI/ML go-to-market engineering, RevOps, or marketing operations, building automations that ship.
  • •Hands-on expertise in Clay, including waterfall enrichment, scoring, and routing, taking use cases from idea to live quickly.
  • •Fluency with agentic AI and automation workflows, using APIs, webhooks, and orchestration to connect systems and eliminate manual work.
  • •Comfort working in Python (or other languages) to build and maintain AI agent pipelines inside an existing codebase.
  • •Strong Salesforce fundamentals, including building reports and understanding the object model and automation layer to improve funnel performance.
Experience:B2B SaaSAI/MLRevOpsMarketing operations
Skills:Cross-functional collaborationCommunicationMetrics-focused thinkingRelationship buildingReasoning about tradeoffs
Tech Stack:SalesforceClayZoomInfoAmplemarketTrellusQualifiedHubSpotGA4Looker StudioPythonLLM APIsAgentic coding toolsNotionAPIsWebhooksOrchestration toolsDefaultGitHubGoogle DriveAdobe Experience Manager

Company Brief

LILT AI
Provides an AI-powered enterprise translation and localization platform combining machine translation, adaptive learning, automation workflows, and human verification to help organizations create and manage multilingual content at scale.
Industry: SaaS
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 3.9
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