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 roleLet'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
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 benefitsNo 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 secondary, available after one year of service)
- An annual Learning budget of €300 (and more for high performers) to support your development
- Monthly "EDGE" time to Explore, Develop, Grow, and Elevate yourself
- A 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
- A home office setup budget to make your workspace your own and a monthly work-from-home allowance
- Claude tokens, so you can automate workflows and build smarter, more efficient ways of working
You'll receive additional benefits that vary by location, from healthcare and retirement plans to team events, socials and other perks. Ask us about it during your interview process.
Life at MewsWe’re an equal opportunities employer. We value teams that reflect the diversity of the customers and communities we serve. Different perspectives make better ideas, stronger products and a more welcoming company.
We also believe transparency is important when deciding if you're the right fit. Mews is an ambitious, high-pressure environment of continuous learning and high standards. Success here requires resilience, adaptability and a willingness to solve difficult problems.
A few things that define how we work:
- High autonomy means high responsibility. People are expected to take ownership and drive outcomes. There isn’t a detailed playbook for everything, and that’s part of what makes the work challenging – and rewarding.
- Change is constant. We’re growing quickly and adapting as we scale. Teams, processes and priorities continue to evolve, and only people who stay curious and agile will thrive.
- We’re remote-first, not relationship-free. Flexibility is core to how we work, but strong relationships still matter. Our teams are global, so we need expert collaborators and communicators to help us move forward together.
- AI is an integral part of our processes. It’s not here to steal people’s jobs, but to amplify efficiency and productivity. We’re motivated to proactively use the technology to seek out better ways of working and share our findings with the rest of the company.
If there's anything we can do to support you during the application process, let us know.
We don't discriminate on the basis of race, religion, colour, nationality, gender, sexual orientation, age, marital status, veteran status, disability or any other protected characteristic.
One final thing: don't hold back. If you don't meet 100% of the criteria in this job description but you're certain you could make a big impact, apply. Everyone should have equal access to opportunities, and we're committed to providing an inclusive experience.
If Mews sounds like the kind of environment where you'd thrive, we'd love to hear from you.
