Why Here?
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that’s transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. This role is within the Prescribe product area, which helps prospective learners find the right programme for their skills and their employer’s goals, then takes them to a confident commitment and a successful start. The team works closely with design, data, go-to-market and fulfilment.
Why Here?
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that’s transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. This role is within the Prescribe product area, which helps prospective learners find the right programme for their skills and their employer’s goals, then takes them to a confident commitment and a successful start. The team works closely with design, data, go-to-market and fulfilment.
What Will You Do?
As a Lead Product Manager at Multiverse, you will shape new conversational, AI-first experiences that help learners and customers understand the best programme for their skills and career development. You will own the logic that connects a learner’s skills to a programme and to a customer’s levy funding, ensuring eligibility and compliance rules remain configurable and explainable. Additionally, you will own conversion from prospect to committed learner by identifying high-leverage drop-off points, running rigorous experiments, and driving measurable outcomes with cross-functional teams.
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