Senior Product Manager guiding strategy for foundational technical products at Multiverse. Focused on optimizing content pipeline and enhancing learner engagement through AI and data-driven insights.
Responsibilities
Integrate into your cross-functional squad and take full accountability for the delivery roadmap, moving with the speed that our strategy demands.
Build strong relationships with the Learning and Operations departments, and within the Tech department, to translate complex business needs into a technical roadmap; you will act as the bridge between platform capabilities and application delivery to manage dependencies across the tech org.
Develop a strategic approach to content delivery that ensures high-quality learning is optimised at scale, enabling the business to rapidly deploy engaging material while remaining compliant with apprenticeship regulations.
Transition from viewing AI as an add-on to making it the engine that optimizes our content pipeline and learner personalization.
Define and track success metrics that shift the focus from output to true customer value and learner impact.
Start every decision by asking how it creates value for our paying customers and learners, identifying and improving their successful behaviors daily.
Lead product discovery and definition in a fast-paced environment, making bold calls even when faced with "unknown unknowns".
Ensure the product is not only engaging but adheres to the complex regulations surrounding apprenticeship levy markets.
Build and prioritize your own 18 months roadmap, maintaining a balance between technical quality and the speed of delivery.
Partner with the Product Director, Engineering Director, and key leaders within the Learning and Operations departments to ensure your roadmap supports the strategic priorities.
Requirements
4+ years as a Product Manager of cross-functional teams that deliver excellent software.
strong background in data modeling and understand how to leverage complex data structures to provide insights and recommendations that drive product strategy
Active curiosity in applying AI/ML to enhance workflows and a belief that AI is our primary engine for delivering outcomes.
Proven track record of shipping products that serve multiple audiences - balancing the requirements of internal teams (Learning & Ops) to engage and retain our external users (Learners).
Deep understanding of Agile principles and experience working in Scrum or Kanban frameworks
Extra Points:
- Background in Data Science/Analysis
- Experience in B2C retention
- Experience in developing and managing content systems
- Prior work in a highly regulated industry
Benefits
27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month
work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year
space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!
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