Senior GTM Automation Architect - AI-Powered Pipelines

The Future Is Human; Wedmore; On-site; GBP 59,000 - 86,000; Full time

Benefits offered by this job

Unlimited paid holiday

Company share program

Paid parental leave

Learning budget (€300)

EDGE time

Work from anywhere policy

Relocation options

Hybrid working options

Home office setup budget

Claude tokens

Job summary

Mews is seeking an experienced engineer to own the automation and AI tooling for the Growth team’s GTM stack. You will design and deploy end-to-end AI pipelines, deal enrichment, and routing, while shaping prompting architectures used by sales teams.

You will influence architecture, vendor relations, and production readiness, with a focus on observability and data quality. This is a hands-on, production‑oriented role in a remote-first company.

Qualifications

• 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

Responsibilities

• 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

Skills

AI fluency 4

End-to-end ownership

LLM tooling

CRM API experience

Observability & incident response

Non-technical communication

Tools

Gong

Clay

LeanData

ZoomInfo

HubSpot

Databricks

Nue/CPQ

Job description

Mews is seeking an experienced engineer to own the automation and AI tooling for the Growth team’s GTM stack. You will design and deploy end-to-end AI pipelines, deal enrichment, and routing, while shaping prompting architectures used by sales teams.

You will influence architecture, vendor relations, and production readiness, with a focus on observability and data quality. This is a hands-on, production‑oriented role in a remote-first company.