Jobs 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.

The Director of Internal Audit will build and lead Mews’ SOX and internal controls program across financial reporting, operations, technology, and regulated financial services. Responsibilities include establishing a COSO-aligned framework, assigning control ownership, leading testing and remediation, validating IT controls and evidence, implementing AI governance, monitoring risks, and reporting findings to senior leadership and governance bodies.

Own revenue accounting policy and close processes across SaaS, fintech, and financial services revenue streams. Apply ASC 606 and IFRS 15, manage reconciliations and contract balances, assess new products and pricing, strengthen SOX controls, support audits, and lead remediation. Manage and develop two team members while advancing close automation and AI-enabled revenue validation with appropriate review controls and audit trails.

Leads an entire regional business, owning go-to-market strategy, revenue, customer onboarding, customer success, P&L, and regional performance. Manages commercial, onboarding, and customer success teams; builds executive customer relationships; drives adoption, retention, and expansion; develops leaders; and implements AI-enabled systems and standards to improve regional decision-making and productivity.

Owns incentive compensation strategy and operations for a global B2B SaaS go-to-market organization. Responsibilities include designing plans, managing commission calculations and payouts, governing exceptions and policy, modeling costs, overseeing compensation platform improvements, communicating earnings, and evaluating plan effectiveness. The role also requires responsible AI adoption in compensation processes, advanced financial modeling, cross-functional leadership, and executive-level recommendations.

Design and lead Mews’ commercial enablement function within Onboarding. The role develops consultative sales training, coaching programs, playbooks, and AI-assisted tools to help onboarding teams identify and qualify expansion opportunities. Responsibilities include partnering with Sales, Customer Success, and RevOps on lead handoffs, tracking pipeline and revenue impact, and continuously improving enablement programs across a global distributed team.

Owns end-to-end product and engineering strategy for Mews' Back of House domain. Leads globally distributed engineering teams, builds the management structure, develops senior talent, and improves reliability, performance, and technical debt without disrupting delivery. Determines where AI should be integrated into the product and ships AI-driven improvements. Requires VP-level product and engineering ownership, SaaS scaling experience, strong people leadership, and hands-on experience shipping AI as a core product capability.

Own and grow the UKI sales territory, achieve quota, close multi-stakeholder deals, and build outbound pipeline. Develop long-term territory strategies, scalable sales playbooks, and market expansion motions. Mentor Sales Managers, advise commercial leadership, support cross-functional initiatives, and apply AI to territory analysis, prospecting, deal coaching, and team development. The role requires sustained quota attainment, full-cycle closing expertise, territory turnaround experience, and strong commercial ambition.

Owns engineering architecture, internal AI agents, and reusable technical skills for a product engineering tribe. The role embeds architectural standards, review logic, and quality gates into agentic development tooling, while tackling complex migrations, system-wide refactors, and long-term architecture decisions. Success requires senior or staff-level experience owning complex systems at scale, translating technical judgment into adopted tooling and standards, communicating across organizational levels, and hands-on experience building AI-powered systems.

Founding analytics engineer for Finance to design and own data infrastructure, build production ETL/ELT pipelines, create scalable data models, ensure data quality and testing, and deliver actionable insights to Finance leadership to support month-end close, capital allocation, and IPO readiness.