Top Tech Jobs & Startup Jobs

Serve as strategic Technology Business Partner to A&Q leadership, translating business objectives into technology strategy and roadmaps. Advise on digital transformation and AI-enabled modernization, align OCTO initiatives with business priorities, manage stakeholder relationships, prioritize outcome-driven initiatives, and foster innovation, operational rigor, and continuous improvement across delivery and technology operations.

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.

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.

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.

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.

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 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 cross-functional delivery of School IT Services programs for K-12 virtual and blended operations. Translate roadmap into project plans, manage risks and dependencies, coordinate engineering/IT/security/vendor teams, drive 4-in-the-box operating cadence, communicate to stakeholders, and support release readiness, training, and adoption aligned to the school year.

Lead complex, cross-functional AI programs end-to-end: translate strategy into integrated plans, drive multi-team execution, mitigate risks (data, model, compliance), apply ML lifecycle practices, use Agile/kanban methods, manage budgets/vendors, communicate to senior stakeholders, and mentor other program managers to improve AI program standards.

Lead learning science for student-facing assessment and AI-assisted learning experiences. Translate research into product requirements, guide intelligent practice and review systems, shape learning library strategy, design experiments and evaluations, and collaborate cross-functionally to ensure instructionally meaningful, standards-aligned, and student-centered learning supports.