Senior GTM System Builder

Mews

. Own the full lifecycle of automation and AI-tooling initiatives within an assigned GTM pod, from scoping and building through production deployment and iteration based on adoption and KPI data .

Posted 10/31/2026full-timeRemote • Spain, Czechia, Ireland, Sweden, United KingdomSenior💰 €53,500 - €84,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing the full lifecycle of AI-powered automation initiatives, including building and deploying pipelines, ensuring operational health, and translating technical requirements for non-technical stakeholders. Proficient in vendor management and incident response within live production systems.

Highest-signal resume keywords

AI-Powered Pipeline DevelopmentIncident Response ManagementSalesforce API IntegrationVendor Relationship ManagementOperational Health Monitoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production Software DeliveryAI Development ToolingLLM API UtilizationData IntegrationError HandlingObservabilityEvent-Driven LogicTechnical Requirement TranslationAutomation Decision MakingCode Review

Soft Skills

End-to-End OwnershipStrong AutonomyCommunication with Non-Technical Stakeholders

Tools & Technologies

Gong APISalesforceClaudeCursorLovableClayLeanDataZoomInfoHubSpotDatabricks

Industry Keywords

GTM FunctionRevOpsCPQ AutomationData QualityVendor Management

About the role

Key responsibilities & impact

Own the full lifecycle of automation and AI-tooling initiatives within an assigned GTM pod, from scoping and building through production deployment and iteration based on adoption and KPI data
Build and ship AI-powered pipelines for deal enrichment, outbound research and routing, Gong-driven coaching signals, forecasting inputs, CPQ automation, and proposal follow-up
Design prompting architecture and agent logic for commercial representatives, BDRs, and AEs, including observability and error handling
Own operational health of live systems, including incident response, adoption metrics, error rates, and data quality visibility
Manage vendor relationships including SLAs, incident escalation, business reviews, and build-vs-buy decisions
Support engineers through code review, pairing, and architecture coaching
Contribute reusable patterns and integrations that accelerate delivery across the pod
Make engineering decisions about AI models, infrastructure, and MCP integrations, balancing automation with human-in-the-loop judgment

Requirements

What you’ll need

4 to 6 years delivering production software with measurable commercial impact in a product-driven company
Demonstrated end-to-end ownership and strong autonomy
Experience shipping AI-powered pipelines or agents in a real operational context
Active use of modern AI development tooling such as Claude, Lovable, Cursor, or equivalent
Comfortable working with LLM APIs and MCP integrations
Hands-on experience building against Salesforce or equivalent CRM APIs, including workflows, event-driven logic, and multi-system data integrations
Experience owning live production systems, including incident response, observability, vendor management, and data integrity
Ability to translate operational pain into technical requirements and explain technical decisions to non-technical stakeholders
Experience in or alongside a RevOps or GTM function is nice to have
Hands-on experience with Gong API, Clay, LeanData, or ZoomInfo integrations is nice to have
Familiarity with Nue/CPQ, Databricks, HubSpot, Hook, or Ada is nice to have

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 to Explore, Develop, Grow, and Elevate yourself
Work from anywhere policy with flexibility to work abroad for a few weeks each year
Relocation options available after one year
Flexible, hybrid working options
Home office setup budget
Monthly work-from-home allowance
Claude tokens for workflow automation and development
Location-dependent healthcare and retirement plans
Team events, socials, and other local perks