Learning Designer

PAIR is hiring a Learning Designer to the growing learning team. This is a hands-on learning design role. You’ll translate the best AI tools into practical, trustworthy and engaging learning on PAIR - keeping our customers up to date with personalised updates of the latest advances in AI and supporting them to do their best work, faster. This role is for someone hungry, hands-on, and excited by the opportunity to blend learning design with emerging AI tools. You’ll work day-to-day with our Head of Learning Design, adding to our offering and working to keep PAIR at the forefront of driving AI Adoption.

Role details

• Location: London, hybrid (2 days/week in the office)
• Type: Full-time
• Reports to: Head of Learning Design
• Salary: £55k–£70k + stock options (depending on experience)
• Target start date: Early May 2026

What you’ll do

• You’ll take newly released AI features and product updates from raw release notes → structured learning → shipped content and masterclasses, working closely with the Head of Learning Design and the wider PAIR team.
• Your focus will include:

• Masterclass design: Support the build of new masterclasses for other AI providers (Claude, Lovable etc), drawing on PAIR's existing award-winning Masterclasses and adapting it for new tools and audiences.
• Content and communications: Produce high-quality written and scripted content - newsletters, long-form articles, short-form video, social - that positions PAIR as a trusted partner for organisational AI adoption, tailored to senior decision-makers, managers, and day-to-day users.
• Content updates: Monitor for relevant feature releases, triage what matters for learners, and translate updates into revised scripts and assets as part of PAIR's quarterly filming cycle.
• Learning product evolution: Contribute to the ongoing design of PAIR's learning products, with a focus on keeping skills current, personalised, and embedded in real workflows - including designing exercises and assignments that land in practice, not just on paper.

This is an exciting time to be in learning design. During product sprints, we’ve used tools like Claude, Synthesia, and Lovable to move from learning objectives to script to prototype course within 24 hours. That pace simply wouldn’t have been possible without AI. You’ll be at the centre of how PAIR blends the best of learning design with AI capability - refining and rigorously testing our processes to make it possible to build high quality learning products in days rather than months.

What success looks like in 12 months

• Our AI Masterclasses continue to be of impeccable quality and lead to transformative AI adoption results, as rated by users.
• New AI releases are featured on PAIR within 3 days of going live - with incisive analysis and helpful tips generated immediately.
• Our personalised exercises and assignments have evolved significantly to harness the latest model advances and remain world-leading.

What we’re looking for

As an AI learning team, we practise what we preach. The person we hire for this role needs to be hands-on, genuinely fluent with AI tools and actively using them to do better work, faster.

Non-negotiables

• Writing quality: You have demonstrable experience producing engaging, clear, well-crafted written learning content - not just structured information, but content people actually want to read.
• Translating complexity: You can take a technical AI feature and turn it into learning a busy manager or a first-time AI user can act on - and explain the trade-offs in how you’ve approached that.
• Pace and organisation: You can handle multiple work streams, keep projects moving, and don’t let deadlines quietly slip.
• AI fluency: You’re an avid user of ChatGPT, Copilot or similar with experience of using your tool of choice as a genuine workflow accelerator.
• Prompt engineering skills: You understand how to write good prompts and can design learning assignments that develop this skill in others.
• Learning design instinct: You know what makes an exercise land - not too abstract, not too prescriptive, and tied to a real workflow.

Nice to have

• Working knowledge of Claude and Gemini
• Experience with instructional design or structured learning frameworks.
• Comfort in front of a camera or in a live facilitation setting.
• Familiarity with how AI tools are being adopted in enterprise or corporate environments.

A note on scope

Your core focus is content and learning design: writing, scripting, structuring masterclasses, and keeping PAIR's learning products current. As part of a small team, you may occasionally support broader business needs, but the mandate is clear - you’re here to add to the quality, depth and speed of PAIR's learning offering.

How we work

We move quickly and iterate based on real usage. We favour clear thinking and simple communication over heavy process. We care about the craft of what we ship, while being honest about constraints and trade-offs. You’ll report to our Head of Learning Design who is ultimately responsible for the quality of our learning offering and ensuring PAIR keeps pace with the speed of AI advances.

About PAIR

PAIR helps organisations pair the best of human and artificial intelligence. We work with governments, enterprises and ambitious organisations to move beyond AI hype and into everyday, high-impact use. We do it through individually personalised AI training and adoption support, so people don’t just “know about AI” but build repeatable ways of working with it. We’re fortunate to work with customers including PwC, the Ministry of Justice and The Crown Estate, and our work has been featured in The Times and the FT. We’re a small, high-calibre team. In 2026 we’re scaling enterprise roll-outs, building a product-led growth motion, and making PAIR the place where AI practice lives and evolves inside organisations. PAIR is an equal opportunity employer. We welcome applicants from all backgrounds.

How to apply

The application process has five steps:

• 02 March - 13 March: Submit your application through our form, linked below. Incomplete responses will not be reviewed.
• 16 March: 15-min phone interviews
• 20 March - 25 March: Take home task
• 31 March: Final stage (in person)
• 1 April: Decision and reference checks

Application questions on the form

• Why PAIR? (150 words max)
• Your edge (200 words max)
• One piece of content or learning design you’re proud of (150 words max)
• Translating complexity into outcomes (200 words max)
• AI in practice (200 words max)