Top Tech Jobs & Startup Jobs

Lead development and ownership of a high-scale Pricing API for energy transactions. Build backend services, extract pricing logic into a dedicated system, improve performance, and ensure reliability, correctness, monitoring, alerting, and explainability. Establish technical direction across teams, guide engineering standards, lead migration efforts, resolve live pricing incidents, and develop agent-driven workflows. The role requires strong Python, FastAPI, SQL, data-heavy systems, API design, and product judgment.

Staff Full Stack Engineer responsible for architecting and building integration-heavy, event-driven systems for renewable energy products. The role focuses on backend development with Python and AWS serverless technologies, while contributing to React and TypeScript frontend work. Responsibilities include integrating pricing, tendering, data, billing, and risk systems; automating commercial workflows; delivering new product categories; solving ambiguous technical problems; and maintaining high standards for testing, documentation, and code quality.

Lead the Payments squad within the Billing and Payments Service. Set technical architecture and ways of working, write designs and code, review implementation, resolve blockers, improve payment accuracy and processing efficiency, manage dependencies, and coach junior engineers while helping scale the service.

Lead the Payments squad within the Billing and Payments Service. Set payment architecture and technical direction, improve payment accuracy and processing efficiency, reduce processing costs, establish team operating practices, resolve technical blockers, manage dependencies, and own delivery outcomes. This hands-on technical leadership role includes writing designs, reviewing code, solving complex problems, coaching engineers, and partnering on hiring and promotion decisions.

Lead pricing ML for Rosso: define technical direction, build production-grade price-optimisation and probabilistic imbalance models, bridge modelling and MLOps, and communicate model decisions across teams.

Own multi-country payroll and core People Operations across onboarding, employee changes, documentation, leave, mobility, EOR and offboarding. Serve as the primary contact for employee and manager queries, maintain accurate People data, and improve the People technology stack. Build automations and AI-enabled workflows using tools such as Rippling, Notion, Linear, Slack, Ashby, n8n and Google Workspace while partnering across Finance, Legal, Talent and Performance.

Partner with leaders on sustained employee performance, difficult people decisions, performance management, exits, restructures, progression, rewards, and employee experience. Co-design scalable people frameworks, improve processes, and automate repetitive operations using AI and tooling. Serve as a trusted challenger to leadership while handling sensitive cases with sound judgment, empathy, and consideration of employment law, culture, and business impact.

Own end-to-end delivery of multi-channel brand campaigns across social, content, video, events, roadshows, and out-of-home. Responsibilities include creating briefs, timelines, and budgets; coordinating internal teams; managing agencies, freelancers, and suppliers; supporting events and logistics; maintaining campaign quality and timelines; conducting post-campaign reviews; and using AI tools to improve efficiency. The role requires managing multiple concurrent projects and traveling to UK events approximately monthly.

Embedded within the commercial team, the Senior Data Analyst will own core sales and revenue metrics, improve pipeline and forecast accuracy, investigate CRM data quality, size commercial opportunities, and analyze partner, retention, and renewal performance. The role translates ambiguous business questions into actionable recommendations, defines trusted metric frameworks, communicates insights to senior stakeholders, and increases self-service analytics adoption across non-technical commercial teams.

Embedded within the commercial team, the Staff Data Analyst will own trusted metrics for conversion, contracted volume, sales, margins, pipeline, and forecasting. Responsibilities include improving forecast accuracy, diagnosing CRM and transactional data quality issues, analyzing commercial opportunities and partner performance, identifying risks and trends, and translating complex findings into recommendations for senior stakeholders. The role also promotes metric adoption and self-service analytics across non-technical commercial teams.