Learnosity

Engineer

• Support discovery sessions with functional teams and leaders, helping translate business problems into technically actionable briefs.
• Contribute to a prioritised build pipeline, in partnership with the BizOps team, focused on highest-value, highest-feasibility opportunities first.
• Ask good questions about whether a technology solution is the right answer - the goal is better outcomes, not more AI.
• Design and deliver AI capabilities - agents, internal copilots, knowledge assistants, intelligent automation, RAG systems, document intelligence, and agentic workflows with increasing independence as your experience grows.
• Contribute to integrations across Learnosity's enterprise technology stack, connecting systems and closing gaps that slow teams down.
• Build for reuse - solutions and components should be adaptable across functions, not purpose-built and abandoned.
• Document your work clearly so knowledge compounds across rotations.
• Help drive adoption, not just deployment - a solution that isn't used hasn't delivered value.
• Coach the teams you work with through practical training and documentation, working up to leading this independently.
• Contribute to practical guidance, prompt libraries, and playbooks tailored to each function's real workflows.
• Support well-designed handoffs so what you help build keeps running reliably after you rotate out.
• Flag security and privacy considerations early, escalating to COPO or the relevant team when unsure.
• Support the evaluation of new AI tools alongside Security, Legal, and Internal IT.
• Share what you learn across rotations - what worked, what didn't, and ideas worth exploring further.

Transformation Engineer

Full-stack Engineer

• Design, implement, modify, and support the development of software for Learnosity’s Workforce product
• Contribute to task planning, estimation, and scheduling, working closely with other teams and management to deliver projects from inception to completion, and ensure documentation is kept up to date.
• Contribute to scalable Software applications

Junior Software Engineer

• Design, implement, modify, and support the development of software for Learnosity’s Workforce product
• Lead task planning, estimation, and scheduling, working closely with other teams and management to deliver projects from inception to completion, and ensure documentation is kept up to date.
• Determine root cause for complex software issues and develop practical, efficient, and permanent technical solutions.

Senior Software Engineer

Product Manager

• Join us at the most exciting stage of our journey: the very beginning. As a PM for a brand new solution, you’ll own the entire product lifecycle, in an environment where your decisions directly shape the future of the business.
• Operate in an environment where there’s minimal distance between ideas and decision-making, with direct access to senior leadership and the ability to shape meaningful outcomes.
• Help shape how AI and other new technologies are applied where they deliver genuine value.
• Help shape new products while leveraging the platform, customers, and reach of an established global business.
• Build systems and products that directly influence how millions of learners are assessed and supported worldwide.
• Take responsibility for your work while collaborating with experienced, thoughtful teammates across engineering, product, and design.
• Develop your career in an environment that values continuous learning, leadership and long-term growth.
• The Product Manager - Build - Assessment independently owns product areas and drives discovery, delivery, prioritisation and customer outcomes across the Build Assessment domain.
• You will be accountable for the delivery and maintenance feature functionality for our Build APIs - primarily focused on the Learner and Developer personas. You will work with Product, Design and Engineering colleagues across Learnosity Build and will liaise regularly with Customer facing Colleagues and Customers.
• This role balances customer needs, business priorities and technical considerations to make informed product decisions and deliver valuable outcomes. Assessment is our core domain area of Learnosity. The product line is mature, operates at scale and must be stable as a priority. Swift management of defects is a key aspect to this role. Along with this you have the power to shape the Learning environment and experience for millions of Learners every day.
• The Product Manager is expected to operate confidently across multiple domains and features, lead discovery and delivery activities, influence stakeholders effectively and contribute to go to market activities.
• This role plays a critical part in Learnosity’s evolving AI-enabled product development environment by combining strong product judgement with operational execution and customer focus.

• Lead discovery activities to identify customer problems and opportunities.
• Contribute to product roadmap and strategic planning activities.
• Balance customer, business and technical trade-offs.
• Define product requirements and drive feature definition from analysis through delivery.
• Own backlog prioritisation balancing features, debt, bugs and enablers.
• Lead delivery coordination and dependencies.
• Collaborate closely with Engineering and Design to ensure high-quality delivery outcomes.
• Manage release planning and feature rollout activities.
• Proactively identify and mitigate delivery risks.
• Ensure product quality and successful customer outcomes.
• Collaborate with Marketing to prepare go to market collateral and campaigns.
• Train customer facing team members on new features.
• Be a confident and informed “voice of the customer” representative for Engineering and Design teams.
• Maintain ongoing customer and stakeholder feedback loops.
• Present product demonstrations internally to stakeholders and external to customers and prospects.
• Build strong relationships across Product, Engineering and business teams.
• Facilitate alignment across teams and stakeholders.
• Communicate product direction, priorities and trade-offs effectively.
• Define and monitor feature and product success metrics.
• Analyse product performance and customer feedback.
• Contribute to continuous improvement of Product practices and workflows.
• Support evolving AI-enabled product development approaches.