Teams at Mews

Own the end-to-end design and delivery of production AI automation for Mews’s go-to-market teams. Integrate Salesforce, HubSpot, Nue, Databricks, and Gong while building secure, reliable agent systems and RAG pipelines. Partner directly with commercial stakeholders, translate workflow problems into scalable engineering solutions, validate AI-generated code, and train teams on shipped systems. This is a senior individual contributor role focused on technical ownership, architecture, and measurable operational impact.

Owns the end-to-end development and operation of AI-powered GTM systems, including enrichment, routing, coaching intelligence, forecasting, CPQ automation, and proposal follow-up. The role designs LLM agents and prompting architectures, integrates CRM and commercial tools, manages vendors, ensures observability and production reliability, responds to incidents, and coaches engineers. Success is measured through commercial KPIs, adoption, data quality, and reduced manual work.

Own engineering agents, architectural standards, quality gates, and payment integration coherence across multiple PSPs and regions. Build an AI first responder for payment-support tickets, determine when human intervention is required, and remain hands-on with migrations, system-wide refactors, and architecture decisions. Coach engineers and influence product and engineering leaders without direct authority, while converting technical knowledge into reusable tools and architecture.