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Revenue Operations at Mews runs the systems and processes behind a $300M+ ARR commercial engine — Salesforce, Nue, HubSpot, Databricks, and Gong across 40+ markets and a 300+ person GTM organisation. Much of what keeps this machine running is still driven by manual effort: data pulls, approval chases, routing decisions, enrichment, and process coordination that humans handle today but shouldn't have to. This role exists to change that. The GTM AI Builder is a high-agency senior individual contributor who owns the design, development, and continuous improvement of AI-powered tooling and automation across the full GTM stack. This is not a support role, it is a builder role with a direct mandate to reduce manual process, increase GTM throughput, and ship systems that scale without adding headcount. The expectation is end-to-end ownership: from problem definition through production delivery, iteration, and measurable impact. At IC5 level, this role operates with significant autonomy, sets technical direction for GTM tooling, and actively raises the capability of the engineers and operators around them.
Job Responsibility
Own end-to-end delivery of AI and automation initiatives across marketing automation, quote-to-cash, sales lifecycle, and support operations, from problem definition and scoping through production release and iteration, with no hand-holding from product management or design
Design and build the GTM Engineering Platform: AI-powered modules including Pipeline Command Center, Deal Passport, Territory Intelligence, Quote Builder, Manager Lens, Digest Center, and Conversion Intelligence replacing manual workflows across BDR, AE, and RevOps functions
Architect and ship AI-powered pipelines that replace manual GTM processes, including lead scoring and routing, deal enrichment, account radar (new hotel discovery), onboarding orchestration, forecasting signals, and Gong-driven coaching intelligence
Engage directly with RevOps leadership and GTM stakeholders to identify build priorities, translate operational pain into technical scope, and maintain alignment on delivery cadence and outcome metrics
Build rapidly and iterate based on real feedback: prototype in days, ship to production in weeks, establish a pattern of continuous improvement rather than polished one-time releases
Make pragmatic use of AI development tools, LLM APIs (Claude, OpenAI), and cloud-native integrations — solving problems at scale without reinventing infrastructure that already exists
Establish reusable patterns, services, and frameworks that accelerate self-serve capability across the GTM and RevOps teams, reducing future build time on adjacent problems
Set technical direction for GTM tooling, make and document architecture decisions, and champion AI-native development practices through code review, pairing, and direct coaching of engineers and operations staff
Define and communicate technical decisions in clear, non-technical terms to leadership and cross-functional stakeholders, maintaining alignment and influencing investment priorities
Requirements
Seven or more years delivering production software with measurable business outcomes in a product-driven company
experience in a high-growth SaaS environment, startup, or scale-up strongly preferred
Demonstrated ability to operate at senior IC level without dedicated product managers or designers — independently defines scope, navigates ambiguity, makes architecture trade-offs, and owns delivery and outcomes end-to-end
Hands-on experience building against CRM and GTM platform APIs (Salesforce, HubSpot, or equivalent), including workflow automation, event-driven logic, and complex data integrations across multiple systems
Fluency with LLM APIs and production AI workflows: demonstrated experience shipping agents, enrichment pipelines, summarisation systems, or AI-assisted automation in a real operational context, not prototypes
Track record of leading complex, cross-functional automation initiatives with direct commercial impact
prior experience in or closely alongside a RevOps, Sales Ops, or GTM Analytics function is a meaningful advantage
Active practitioner of modern AI development tools including Claude, Lovable, Cursor, or equivalent
familiarity with agent frameworks, MCP integrations, and workflow automation tooling
Ability to think at systems level: understands how GTM processes connect across marketing, sales, deal desk, and post-sale, and designs tooling that serves the full motion rather than isolated workflows
Experience with one or more of the following a strong plus: Nue or other CPQ/subscription billing platforms, Databricks, Gong API, Clay
Clear, direct communicator: translates operational problems into technical requirements and explains technical decisions to non-technical stakeholders and senior leadership with equal confidence
Nice to have
Experience with one or more of the following a strong plus: Nue or other CPQ/subscription billing platforms, Databricks, Gong API, Clay
What we offer
Participation in our company share program
Best-in-class parental leave (6 months fully paid for primary caregivers, 2 months for secondary, available within your first year)
Unlimited paid holiday
Work from anywhere - enjoy the flexibility to work from other countries for a few weeks each year through our compliant and flexible Workation policy
Relocation options available after 1 year
Monthly EDGE time - dedicated to Explore, Develop, Grow, and Elevate yourself
Flexible, hybrid working options
One-off home office setup budget to make your workspace your own
Monthly working-from-home and healthcare allowances (where local healthcare benefits are not in available)