Jobs at tem energy

Build and operate backend pricing systems for real energy contracts. Responsibilities include designing the Pricing API, consolidating pricing logic, improving quote speed, implementing error handling and observability, creating alerting, explaining pricing failures, and supporting live incidents. The role requires production Python backend experience, FastAPI, SQL, data-heavy systems, end-to-end project ownership, and AI-assisted development workflows.

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.

Own the end-to-end design, reliability, resilience, and recovery of production data ingestion systems and pipelines. Build batch and streaming ETL/ELT workflows, establish data quality checks and SLAs, improve monitoring and alerting, resolve platform issues, reduce technical debt, and optimize performance and cost. Collaborate with stakeholders, AI teams, and international expansion initiatives while supporting time-series, textual, and event-stream data workloads.

Staff QA Automation Engineer responsible for defining quality engineering standards across a microservices organization. The role architects shared automation frameworks, CI testing strategies, unit, integration, contract, and service-level testing, and quality controls for canary releases. It also advances AI-driven regression optimization, change-risk analysis, mutation testing, test generation, and self-healing checks. This specialist individual contributor partners with distributed engineering teams to drive adoption, improve pipeline reliability, and establish scalable quality practices.

Lead tem’s brand and creative direction through visual identity, campaign storytelling, digital experiences, and cross-functional work with Product and Growth. Build an AI-first creative practice, own the internal creative AI tool, establish studio systems and performance metrics, maintain high creative standards, and coach the team while remaining hands-on. The role requires fast, high-quality execution across channels, budgets, launches, and campaigns in a startup or scale-up environment.

Lead delivery of core support improvement projects (AHT reduction, phone rollout, complaints process), track support metrics, build automations, manage and coach a small support team, and handle complex second-line cases to maintain high service standards.

Lead architecture and deliver end-to-end, scalable full-stack systems and developer tooling. Hands-on coding across backend and frontend, prototype AI-driven workflows, collaborate with product and design, mentor engineers, and drive engineering best practices to accelerate product delivery and scale.

Lead tem's FP&A: own the financial model, run monthly performance vs plan, maintain cash runway and KPIs, translate variance into action, and codify planning into AI-assisted workflows to scale planning.

Lead a small squad to design, build, and ship new origination product categories and deep integrations. Translate ambiguous commercial goals into deliverable technical plans, mentor engineers, make risk judgments for deal-gating tooling, and represent technical direction to commercial and international stakeholders. Stay hands-on on the hardest technical work and ensure new products drive origination pipeline outcomes.