Top Tech Jobs & Startup Jobs

Deliver end-to-end features for microservices-based systems, focusing on reliability, performance, testing, and production troubleshooting. Collaborate with product, QA, and DevOps, mentor junior engineers, adopt AI-assisted development, and improve system stability and delivery practices.

Lead research, design, and deliver Pearson's scalable learner model and AI-driven features. Partner with product, engineering, and design to define data requirements, build prototypes, maintain data pipelines, ensure data quality, and translate research into production ML capabilities and business growth.

Improve performance and scalability of web applications by identifying and resolving front-end and back-end bottlenecks. Optimize load times, API responses, and database queries; develop scalable features across the stack, monitor performance, conduct code reviews, troubleshoot production issues, and collaborate with product, design, and engineering teams.

Lead a small product analytics team to drive data-informed product decisions for Higher Education courseware. Define KPIs across commercial and learning outcomes, own instrumentation and telemetry, scale experimentation (A/B tests), surface discovery insights, govern data quality, and communicate findings to executives. Partner with product, design, and engineering to embed analytics as a product capability.

Lead architecture and delivery of scalable, secure web applications; drive AI-first engineering and LLM integrations; write full-stack production code; mentor engineers; promote best practices in microservices, cloud-native, CI/CD, observability, and security.

Lead communications for a large transformation programme: develop and execute communication and engagement plans, create content and leadership messaging, manage stakeholder engagement, support change adoption, run events, ensure consistent messaging across workstreams, and monitor impact using feedback.

Serve as a customer-facing implementation lead for complex Access sales opportunities, coordinating cross-functional teams, tracking milestones/risks, ensuring delivery quality, reporting KPIs/SLAs, and driving continuous improvement and compliance for delivery models.

Perform quality assurance on published content and forms across paper and online formats. Verify text and artwork accuracy, confirm edits, track work queues, document issues, assist Program Lead, complete training, and support continuous improvement. May work overtime to meet deadlines.

Lead end-to-end quality engineering for AI/LLM systems: define quality strategy, design/execute automated tests (UI, API, backend), evaluate non-deterministic AI outputs, build evaluation frameworks and baselines, integrate tests into CI/CD, and lead QE delivery for complex projects.

Designs and operationalizes sales incentive programs, partners with Sales, Finance, HR, and Ops, administers and validates commission calculations, supports SPM tool implementation, drives governance, launch readiness, and continuous improvement of compensation processes.