Remote AI Product Specialist in Slough

• Position Title: AI Product Specialist
• Innovation is a 24/7 pursuit, but we value your downtime. Contract Type: Permanent

We're looking for someone who lives at the edge of AI possibilities—someone who wakes up thinking about what they can build with the latest models, tools, and techniques.

You're the kind of person who has strong opinions about Claude vs Chat GPT vs Gemini because you've actually shipped things with all of them.

As our AI Product Specialist, you'll be our internal R&D lab and strategic advisor rolled into one.

You'll prototype agentic experiences, pressure-test new AI capabilities, and help me make smart bets on what we should build.

You'll balance hands-on building with strategic thinking—shipping experiments fast while developing frameworks for how we should think about AI across our product.

At Nexford we're building a new kind of university: one that's affordable, flexible, relevant, and 100% online.

One that prepares learners for the careers of tomorrow, without the burden of student debt.

Ship rapid AI experiments: Build working prototypes of agentic workflows, conversational interfaces, and AI-assisted features.

You're comfortable with imperfect MVPs that teach us something and can help get buy in for deeper investment.

~ Where should we invest our AI resources in?

~ The AI space is rapidly changing, with new models and techniques regularly emerging.

Cross-functional

Collaboration: Collaborate with cross-functional teams across Nexford, including Learner Success, Academic Operations, Technology, and Marketing, to ensure a cohesive and seamless learner experience.

• Data-Driven
• Decision

Making: Utilize user research, data analytics, and learner feedback to assess product performance, identify areas for improvement, and inform future iterations.

~ Promote a culture of continuous improvement, iterating on products and services based on feedback and data insights.

2-4 years working to ship features and products, with meaningful AI experience: Bonus if you've worked on conversational AI, agents, or developer tools.

~ You write code to think, not just to ship. You know when to polish and when to stay scrappy.

~ Deep curiosity about AI tools and techniques: You build side projects.

You have a personal AI stack.

You can explain complex AI concepts to non-technical stakeholders to get buy-in and build a shared understanding.