Product Delivery

You’ll work closely with Design, Engineering and QA to turn validated opportunities into high-quality product experiences.

You will:

• Translate product opportunities into clear requirements and outcomes that teams can build against.
• Write your own product specifications and create prototypes where written documentation alone isn’t enough.
• Work alongside Design, Engineering and QA throughout delivery.
• Keep scope focused and ensure the team remains aligned on the problem being solved.
• Unblock decisions quickly and manage trade-offs as new information emerges.
• Stay close enough to delivery to identify and resolve problems while they’re still inexpensive to fix.
• Use the product regularly, test what is being built and maintain a detailed understanding of the customer experience.

AI Product Development

You’ll help shape how AI is used within Learn, ensuring we create features that offer genuine customer value rather than novelty.

You will:

• Help define and deliver AI-powered capabilities across areas such as course generation, adaptive assessment, personalisation and translation.
• Maintain a practical understanding of what current AI models can and cannot do reliably.
• Design AI experiences with model limitations and potential failure modes in mind.
• Distinguish between compelling demonstrations and capabilities that will deliver sustainable value in production.
• Prototype AI-powered concepts before committing significant Engineering resources.
• Ensure AI features are usable, trustworthy and aligned with real customer needs.
• Stay informed about developments in AI and assess how they could improve Learn and the wider YOOBIC platform.

Launch, Adoption & Performance

You’ll remain accountable after a feature ships, ensuring releases are understood, adopted and delivering measurable results.

You will:

• Partner with Product Marketing, Enablement and Support to ensure releases land effectively.
• Help create clear positioning that explains the value of new capabilities in language customers understand.
• Maintain strong product documentation and knowledge resources so colleagues can confidently sell, implement and support what we build.
• Define success measures and monitor adoption and performance after launch.
• Work directly with product data to understand whether a release achieved its intended outcomes.
• Use evidence to refine features, change direction or challenge your original assumptions.
• Become the internal subject-matter expert for Learn and the person colleagues turn to when questions about the pillar become complex.

AI-Enabled Product Management

AI isn’t a side project at YOOBIC. It is part of the product our customers use and an important part of how our Product team works.

You will:

• Use AI as a core part of your day-to-day approach to research, drafting, analysis and prototyping.
• Prototype before you specify, analyse before you ask and draft before you delegate.
• Use AI-assisted prototyping, no-code tools or light coding to make ideas tangible without waiting for an Engineering slot.
• Work directly with data, using AI assistance to query, clean, explore and visualise it.
• Use AI to remove unnecessary dependencies while maintaining sound judgement, accuracy and appropriate oversight.

What We’re Looking For

Essential

• 2–4 years’ experience as a Product Manager within a B2B SaaS business.
• Experience owning a product area or feature end to end, from initial customer discovery through to launch, adoption and performance measurement.
• A strong product mindset, with the ability to begin with the user problem rather than a predefined feature.
• The ability to define who the user is, what they’re trying to achieve and why the current experience isn’t working.
• A value-led approach to prioritisation, with the confidence to explain why something is worth building and to stop or reduce the scope of work that won’t create sufficient value.
• A hands-on working style, including writing specifications, building prototypes, testing product experiences and analysing product data.
• Experience making ideas tangible through clickable prototypes, no-code tools, light coding or other rapid prototyping methods.
• Experience speaking directly with users and combining qualitative feedback with quantitative product data.
• The ability to distinguish between individual customer requests and meaningful, recurring patterns.
• An understanding of how product positioning affects the way a capability is understood, sold and adopted.
• Strong cross-functional collaboration skills and experience working with Engineering, Design and customer-facing teams.
• Daily, practical use of AI tools for activities such as research, drafting, analysis and prototyping.
• The ability to build a working prototype independently using AI-assisted tools, no-code platforms or light coding.
• Confidence working directly with data, including querying, cleaning, exploring and visualising it with AI assistance.
• A practical understanding of what large language models can and cannot do reliably.
• Strong curiosity, sound judgement and a willingness to change direction when evidence challenges an existing plan.

Nice to Have

• A technical or analytical educational background, such as Computer Science, Engineering or Economics.
• Experience working in EdTech, learning and development, or learning and training products.
• Experience shipping LLM-powered features into production.
• Experience within retail, hospitality or another frontline-heavy industry.
• French-language skills.

What We Care About

• You start with the problem.
• You understand the user, what they’re trying to achieve and why the current experience is failing before you begin designing a solution.
• You think in value, not output.
• You focus on what will change for the customer and the business, rather than measuring success by the number of features shipped.
• You make things tangible.
• You would rather test a rough prototype than debate an abstract document. You create something people can react to early in the process.
• You stay close to users.
• You speak with customers regularly and compare what they tell you with what the data shows.
• You get into the detail.
• You use the product, write your own specifications, build prototypes, test upcoming releases and work directly with product data.
• You use AI practically.
• AI has meaningfully changed how you work. You use it to research, analyse, draft and build while applying sound judgement to its limitations.
• You care about adoption.
• A feature isn’t finished when it ships. You make sure it can be clearly explained, successfully launched and meaningfully adopted.
• You’re curious by default.
• You experiment, explore ideas outside your immediate domain and develop an informed point of view. You would rather learn something uncomfortable from the evidence than defend an outdated plan.
• You take ownership.
• You’re comfortable working through ambiguity, making decisions and remaining accountable for measurable outcomes.

What We Offer

UK