Senior Software Engineering - Telecommute

Innovation Squad - Engineering
Our charter is simple to state and ambitious to deliver: build what Pearson does next. We are a small, newly formed team within Pearson's Enterprise Learning & Skills (ELS) division, creating entirely new products for our enterprise clients rather than improving existing ones.
Our starting point is an asset few companies can claim. Pearson has nearly two centuries of history and, with it, one of the world's deepest bodies of learning content, assessment data, and credentialing expertise. AI has transformed what that heritage makes possible. Our mission is to bring it to bear in new and distinctive ways - solving problems for our customers that could not be solved before AI.
Our products operate inside our clients' ecosystems - learning platforms, HR systems, identity providers, and data pipelines - and must work seamlessly with all of them.
It will almost always build on other Pearson products. Pearson's portfolio spans assessment, qualifications, credentials, learning content, and workforce skills. We combine these capabilities - and the data and insight behind them - in ways that were not possible before, collaborating across the company as much as within the team.
It will be researched and validated before it scales. We take an evidence-led approach: concepts are tested with real customers, and only those that prove their value move forward. Some ideas will be retired and others will advance - both outcomes are signs of a disciplined process.
The team is built around senior individual contributors - design engineers, product engineers, and a zero-to-one product manager - who work as peers from initial concept to shipped product.
You're a generalist builder who turns ambiguous problems into working software. As the Senior Product Engineer on this team, you'll architect and build new products end to end — front end, back end, data, and infrastructure — with a particular love for the part many engineers avoid: integrations. Everything this team ships connects to something: other Pearson products, client learning platforms, HR systems, identity providers. 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. 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.
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.
• 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.
• Direct experience with learning technology standards and platforms: Web standards depth (W3C, WHATWG) and practical accessibility knowledge (WCAG) — accessibility is a floor for everything we ship.

Flexible. Bets change, priorities shift, and fidelity ranges from napkin sketch to production. You follow the rules that matter — ethics, privacy, security, and accessibility are non-negotiable — and you know how to flex in and out of heavyweight structures when a small, fast-moving team calls for it.
You make your thinking legible in writing, diagrams, demos, and rooms full of executives or engineers.
Ambiguity, unfamiliar domains, and half-formed ideas are the raw material of this job.
The full-time salary range for this role is $100,000 – $169,000. Applications will be accepted through 15th September 2026. At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. We are Pearson.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing View email address on click.appcast.io.
Schedule: FULL_TIME
Workplace Type: Remote