Lead GTM System Builder

Mews

. Meet with GTM teams to understand their processes firsthand and design and ship automation that removes manual work .

Posted 10/31/2026full-timeRemote • Spain, Czechia, Ireland, Sweden, United KingdomSenior💰 €68,500 - €103,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and delivering AI-powered systems, integrating various platforms such as Salesforce and HubSpot, while ensuring security and reliability. Proven ability to own technical domains end to end and translate complex problems into effective automation solutions.

Highest-signal resume keywords

AI-Powered Systems DeliveryIntegration of Salesforce and HubSpotFluency with LLM APIsEnd-to-End Technical OwnershipProduction Engineering Decisions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI System DesignAutomation DevelopmentModel Choice Decision MakingAgent FrameworksRAG PipelinesMCP IntegrationsAI Fluency Level 4Code ValidationSecurity ArchitectureProgramming Language Proficiency

Soft Skills

CollaborationTrainingProblem-SolvingCommunication

Tools & Technologies

SalesforceHubSpotNueDatabricksGong

Industry Keywords

GTM ProcessesProduction-Grade AI SystemsTechnical Domain OwnershipEngineering ExperienceAI Impact Proof

About the role

Key responsibilities & impact

Meet with GTM teams to understand their processes firsthand and design and ship automation that removes manual work
Own delivery end to end by scoping, building, and validating work without a PM or handoff
Travel to local offices when deeper embedding is needed, build alongside teams for several days, and train them on delivered solutions
Architect systems integrating Salesforce, HubSpot, Nue, Databricks, and Gong with security and reliability built in
Translate GTM problems into production-grade AI systems
Design and ship AI-powered systems for real commercial outcomes
Make production engineering decisions about model choice, agent design, and RAG pipelines
Take full ownership of live AI systems

Requirements

What you’ll need

5 to 7+ years of engineering experience at Tech Lead, Staff, or Principal level
Track record of owning a technical domain end to end at a company between 100 and 2,000 people
Last 6 to 12 months spent heavily on AI, including building agents and shipping AI-built systems to production with concrete proof of impact
Fluency with LLM APIs, agent frameworks, RAG pipelines, and MCP integrations
Deep engineering judgment, including validating AI-generated code and reasoning about security and architecture
Comfortable working in any programming language rather than being tied to one tool or platform
AI Fluency Level 4 or equivalent hands-on experience shipping AI-powered systems into production

Benefits

Comp & perks

Unlimited paid holiday
Participation in the company share program
Paid parental leave: 6 months fully paid for primary caregivers and 2 months for secondary caregivers, available after one year of service
Annual learning budget of €300, with more for high performers
Monthly "EDGE" time for personal development
Work from anywhere policy with flexibility to work abroad for a few weeks each year
Relocation options after one year
Flexible, hybrid working options
Home office setup budget
Monthly work-from-home allowance
Claude tokens for workflow automation and productivity
Location-dependent healthcare and retirement plans
Team events, socials and other local perks