Top Tech Jobs & Startup Jobs in London

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.