Senior Software Engineer

Pearson is a lifelong learning company serving enterprise learning and skills needs. The Senior Product Engineer will build new products end to end across the full stack, with a strong focus on integrations, AI-enabled development, and client pilots. The role also involves validating product concepts, instrumenting systems for learning, and partnering with platform, security, and architecture teams.

Responsibilities:

• Take new product concepts from architecture sketch to working software — prototypes, pilots, and MVPs — across the full stack
• Own integrations end to end: composing other Pearson products' APIs and platforms, and connecting into client-side systems — auth and identity (OAuth 2.0, OIDC, SAML), provisioning (SCIM), events and webhooks, and learning standards (LTI, SCORM, xAPI) where they apply
• Right-size the engineering to the stage of the bet: gloriously disposable code for a one-week concept test, production-grade foundations for products that graduate. Knowing which is which is the core skill
• Work directly with client technical teams during pilots — discovery, scoping, deployment, and debugging inside their environments
• Instrument everything for learning: telemetry, evaluation, and the data the team needs to make honest kill-or-scale decisions
• Use AI as a force multiplier — in your own development workflow, and, where a bet calls for it, as a capability inside the products themselves
• Contribute well beyond the code: shaping concepts, joining research sessions, and pressure-testing feasibility before anyone falls in love with an idea
• Partner with Pearson's platform, security, and architecture teams so that graduating products land well inside the wider organization

Requirements:

• 7+ years of software engineering with genuine full-stack range, and a track record of building products from scratch — as a founder, founding engineer, or member of a labs, incubation, or new-products team
• Integration depth: designing and consuming APIs (REST, GraphQL), auth and identity flows, eventing, and moving data between systems that were never designed to talk to each other
• Systems thinking: you can hold a complex enterprise environment in your head, find the load-bearing constraints, and design something that works within them
• Pragmatic engineering judgment: you optimize for learning speed early and reliability later, and you can explain exactly where and why you drew that line
• Comfort with modern AI-assisted development, and informed opinions about when AI belongs in a product and when it doesn't
• Strong communication with technical and non-technical audiences — including client-facing conversations where you're the engineering voice in the room
• Experience turning research — user or technical — into build decisions
• Flexible
• Not precious
• Comfortable in parallel
• A systems thinker
• A genuine problem-solver
• Good with people
• Principled and pragmatic
• A clear communicator
• Ego-free about execution
• Comfortable in discomfort
• An independent thinker
• Direct experience with learning technology standards and platforms: LTI, SCORM, xAPI, QTI, Caliper, the 1EdTech ecosystem, and LMS/LXP integration work
• Web standards depth (W3C, WHATWG) and practical accessibility knowledge (WCAG) — accessibility is a floor for everything we ship
• Standards-body, committee, or working-group participation