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Own and scale Relay’s sales and revenue operations across enterprise sales and its Pitstop network. Responsibilities include defining TAM, account scoring, lead prioritization, CRM architecture, deal governance, sales tooling, territories, targets, pricing, dashboards, and funnel optimization. The role requires building automated, AI-enabled systems, maintaining clean data, diagnosing pipeline leaks, and improving sales efficiency across both current and future SME motions.

Own Relay’s global sales system across field, enterprise, large parcel, and SME segments. Responsibilities include sales strategy, organizational design, performance metrics, forecasting, CRM standards, quota and compensation principles, process scalability, leader development, remote team leadership, and executive partnership on revenue planning and go-to-market strategy.

As a Senior Software Engineer at Relay, you will tackle challenging problems, collaborate with talented teams, and have a direct impact on the company's growth through software development and optimization tools.

Build and own cross-platform mobile applications while contributing across the full technology stack, from mobile interfaces through data infrastructure. Solve complex logistics problems using technologies such as machine vision, machine learning, and LLM inference. Collaborate cross-functionally, take end-to-end ownership, and regularly engage with field operations to understand the impact on couriers and parcel recipients.

Leads an engineering team while remaining technically engaged through code reviews, pairing, and high-impact contributions. Sets direction, converts ambiguity into delivery plans, and partners with Product, Design, and Operations. Improves code quality, observability, incident response, analytics, and developer velocity. Owns hiring, coaching, feedback, performance management, and team growth in a fast-paced startup environment.

Build core API concepts, courier-facing delivery software, and data infrastructure supporting routing and operations research. The role spans cloud infrastructure, frontend development, machine learning, and emerging robotics or IoT integrations. Engineers will work directly with users in the field, learn rapidly, collaborate closely, and take ownership of impactful software projects. Candidates should have strong technical fundamentals, internship or academic engineering experience, and be able to work from the London office four days weekly starting Summer 2026.

Run shifts at a high-volume hybrid sort centre, leading 50–100+ operatives and owning deployment, throughput, quality, safety, handovers, and performance. Build and implement operational controls, metrics, SOPs, training plans, and change mechanisms. Manage peak volumes, outages, labour gaps, and new technology or client launches while improving site performance. Report clearly to site leadership and develop frontline teams.

Runs shifts at a high-volume hybrid sort centre, leading 50–100+ operatives while owning staffing, throughput, quality, safety, handovers, and performance metrics. The role requires rapid problem-solving during peaks and outages, development of operational controls and SOPs, workforce planning, change implementation, and continuous improvement. The manager communicates operational updates clearly, manages frontline performance, and introduces new robotics, sortation technology, and client processes in a live environment.

Run shifts at a high-volume hybrid sort centre, leading 50–100+ operatives across staffing, throughput, quality, safety, handovers, and incident response. Build and implement operational controls, metrics, SOPs, cadences, and change-management processes. Plan labour and training, manage performance, improve site metrics, and introduce robotics, sortation technology, and new client operations.

The Head of Finance AI Transformation will design and build a finance function utilizing AI and automation, streamline processes, and provide real-time financial insights to leadership.