Lead Product Manager

Job description

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here . We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. About the role In Faculty’s Applied AI group, we partner with ambitious organisations across private and public sectors to help them reinvent how they work, compete and serve people with AI. We bring them our extensive expertise in using AI in real-world situations and a track record of delivering serious impact. Product managers in Applied AI provide strategic leadership for Faculty’s clients, guiding stakeholders through discovery, decision-making and execution. We help our clients to achieve the greatest impact for their organisations with the very latest AI advancements and we teach bleeding-edge product development practices. As a Lead Product Manager at Faculty, you’ll take on large strategic client engagements, leading teams that include top-flight Data Scientists, Machine Learning Engineers and Product Designers, among others. You’ll help to drive the strategic direction of high-impact AI products for our clients, balancing complex technical considerations and user needs to achieve real commercial outcomes. What you'll be doing: Building and shipping impactful products that realise the potential of frontier AI. Acting as a trusted advisor to senior stakeholders at big-name clients on their product and AI strategies. Leading discovery to identify the right problems to solve, using clear hypotheses and success measures to decide what gets built. Keeping teams focused on outcomes, not just outputs by defining clear goals, shaping prioritisat…