M

Senior GTM System Builder

DeutschlandVollzeitVor Ortvor 1 Monat
Kostenlos registrieren – das bringt dir ein Konto
  • Alle 3.000+ belegten muslimfreundlichen Stellen durchblättern
  • Beleg-Details sehen: Zitat und Quelle zu jedem Merkmal
  • Jobs merken und Bewerbungen verfolgen
  • Persönliche Empfehlungen nach deinen Werten
Jetzt kostenlos registrieren

🔔 Neue Jobs wie dieser — direkt in dein Postfach

Kein Account nötig. Maximal eine E-Mail pro Woche, Abmeldung jederzeit.

Mit dem Absenden stimmst du zu, E-Mails zu passenden Jobs von SalamJobs zu erhalten. Abmeldung jederzeit möglich.

💬 Oder lass Rafik suchen — dein kostenloser Karriereberater →

Help make the world more hospitable

The hospitality industry is uniquely human, and it deserves technology that’s just as inspiring as the people behind it.

At Mews, we’re transforming the industry with a platform that helps hotels run smarter, move faster and create better guest experiences.

You’ll work with smart, curious people who care deeply about what they do. You’ll have autonomy and the trust to make good decisions and move quickly. And you’ll enjoy a real sense of purpose as you see the impact of what we’re building.

If you’re motivated by ownership, curiosity and meaningful impact, and are driven to deliver consistent high performance, you’ll feel at home here.

About the role

Let's get into the specifics. It’s impossible to capture every nuance of a role – especially at a rapidly growing company like Mews – but if we had to distil it into a job description (which we do because this is a job description), it would be this:

The commercial team at Mews moves deals through a complex, multi-touch GTM motion.

The person in this role owns the systems that make that motion faster, smarter, and less dependent on manual effort — from inbound routing and deal enrichment to Gong-driven coaching intelligence and CPQ automation.

This is not a support role for the commercial team.

It is an ownership role for the infrastructure they run on.

You will join the Growth team to own an assigned domain within the GTM stack end to end: scoping, building, shipping, and running production systems that move ARR.

You will work under staff technical direction but make your own architecture and build-vs-buy decisions within your domain.

You will manage vendor relationships, define observability standards, and be the person who picks up the phone when something breaks in production.

What you would do

Own the full lifecycle of automation and AI-tooling initiatives within your assigned GTM pod: scoping, building, shipping to production, and iterating based on adoption and KPI data — not just ticket completion
Build and ship AI-powered pipelines that permanently remove manual GTM work: deal enrichment, outbound research and routing, Gong-driven coaching signals, forecasting inputs, CPQ automation, and proposal follow-up
Design the prompting architecture and agent logic that commercial reps, BDRs, and AEs interact with daily — reliable outputs for non-technical end users, with observability and error handling built in from the start
Own operational health of your domain's live systems: first responder when things break, with adoption metrics, error rates, and data quality visibility instrumented before deployment
Manage vendor relationships at pod level (Gong, Clay, LeanData, ZoomInfo, depending on assignment): SLAs, incident escalation, business reviews, and periodic build-vs-buy re-decisions
Support other engineers through code review, pairing, and coaching on architecture trade-offs — and contribute reusable patterns and integrations that accelerate delivery across pod

AI Fluency Level 4: In this role, AI is not a productivity layer — it is the product.

You will architect and ship LLM-powered agents, enrichment pipelines, and AI-assisted automations that the commercial org depends on.

You will make engineering decisions about models, infrastructure, and MCP integrations.

You will design prompting systems that non-technical users rely on without ever touching a prompt themselves.

The test for everything you build is whether a KPI moved — which means your judgment about where AI is trustworthy and where it needs a human in the loop is part of the work, not an afterthought.

For more information on AI fluency at Mews, please refer to AI Fluency at Mews: A Comprehensive Guide for Candidates on Confluence.

What you would bring

4 to 6 years delivering production software with measurable commercial impact in a product-driven company (high-growth SaaS, startup, or scale-up)
Demonstrated end-to-end ownership with strong autonomy: you have defined the approach, navigated genuine ambiguity, and owned the outcome — not executed tickets
Has shipped AI-powered pipelines or agents in a real operational context: enrichment, routing, summarization, or AI-assisted automation — not just prototypes
Active practitioner of modern AI development tooling (Claude, Lovable, Cursor, or equivalent) and comfortable working with LLM APIs and MCP integrations — AI Fluency Level 4 or the equivalent hands-on engineering experience
Hands-on experience building against Salesforce or equivalent CRM APIs: workflows, event-driven logic, and data integrations across multiple systems
Comfortable owning live production systems: incident response, observability, vendor management, and data integrity — draws no hard line between building and running
Can translate operational pain into technical requirements and explain technical decisions clearly to non-technical stakeholders

Nice to have

Experience in or alongside a RevOps or GTM function — understands what commercial reps actually need, not the idealized version
Hands-on experience with Gong API, Clay, LeanData, or ZoomInfo integrations
Familiarity with Nue/CPQ, Databricks, HubSpot, Hook, or Ada

Spain

📌€53.500 — €84.000 EUR

Czechia

1 008 000 Kč — 1 632 000 Kč CZK

UK

📌£59,000 — £85,692 GBP

Sweden

570 500 kr — 949 000 kr SEK

Ireland

📌€61.000 — €100.000 EUR

Pay Transparency at Mews

Salary ranges are provided in good faith and reflect current market conditions and internal pay structures. Final compensation may be adjusted based on funding, budget constraints, or exceptional candidate qualifications, but will remain within reasonable proximity to the stated range.

This salary disclosure is provided in compliance with applicable pay transparency legislation. We are committed to equal pay practices and prohibit salary history inquiries during our recruitment process.

If the location you're applying from wasn't originally advertised for this role, salary range information is available upon request at any point during the application/interview process - your recruiter will be able to help.

What’s in it for you?

Our success is powered by our incredible people, supported by benefits that help them thrive.

Global benefits

No matter where you’re based, you’ll enjoy:

Unlimited paid holiday (yes, really)
Participation in our company share program
Paid parental leave (6 months fully paid for primary caregivers, 2 months for

Job-Übersicht

Veröffentlicht
5. September 2026
Standort
Deutschland
Beschäftigungsart
Vollzeit
Arbeitsmodell
Vor Ort

Unternehmen

M

mewssystems

Deutschland
Unternehmensprofil ansehen
Quelle

Diese Stellenanzeige wurde über Arbeitnow aggregiert und wird auf der Originalseite gehostet.

Originalanzeige ansehen