AI Product Manager, Learning & Assessment Innovation

About Us 

At Pearson, we’re committed to a world that’s always learning and to our talented team who makes it all possible. We are bold thinkers and standout innovators who motivate each other to explore new frontiers in an environment that supports and inspires us to always be better. With a rich heritage that combines 150 years of experience in publishing with the latest learning technology and digital services, we help people learn whatever, wherever and however they choose. 

Role Overview 

ELL Accelerator is a product innovation team responsible for creating the next generation of language learning and language assessment technologies, using emerging technologies such as generative AI, ML, AR, and VR. The team works in quick-paced sprints, building and testing multiple prototypes for new language learning and assessment use cases, focusing on a mix of Horizon 3 experimental experiments and Horizon 1 MVP development. 

We’re looking for a forward-thinking technical PM with experience building different ML-powered features or products, as part of an AI team. This role is a great fit for a PM who has a deep understanding of the latest ML technologies and architectures, who likes doing hands-on prototyping with AutoML tools and low-code/no-code tools. 

Primary Responsibilities 

• Identify areas of language learning and assessment where AI could enable a completely new experience, not previously possible and identify the current state of the art technologies that could enable it. 
• Work with a UX/UI designers and researcher to conduct quick discovery to narrow down the use case to the most important user problems and create rapid prototypes of the AI-powered idea. 
• Work with an Engineer to create technical proofs of concepts that demonstrate the functionality of the product/feature. 
• Prepare business and technical documentation describing the use case of the product to be built, showing evidence of desirability, viability and feasibility based on concept testing and technical POCs. 
• Conduct ongoing competitor testing, market and user research, to continuously refine the deep understanding of both the problem and solution space for language learning and assessments. 
• Be the squad lead, ensuring the members of the squad are in alignment and work in sync. 
• Regularly share learning from discovery research and from technical POCs to influence internal product and technical roadmaps. 
• Work directly with UX/UI designers, ML engineers, AI scientists and key business stakeholders to ensure alignment between the innovation squad and internal roadmaps. 

Required Skills and Experience

• Desire to innovate and create great product experiences with latest technologies. 
• Passion for learning new skills and putting them to the test immediately. 
• Vast experience in Product Management, working on SaaS or consumer applications. 
• Previous working on ML-powered features or products, interfacing directly with ML engineers and AI scientists or Data Scientists. 
• Experience launching 0 to 1 products, from idea to market launch and working with cross-functional teams to coordinate GTM launch. 
• Experience deploying ML-powered features, from use case definition to evaluation and iteration. 
• Experience working directly with UX/UI designers, shaping, and providing feedback on designs at different levels of fidelity. 
• Proficiency in designing and conducting product research to inform product decisions. 
• Deep knowledge of AI technologies, architectures, and teams, with ability to navigate, select and make trade-offs between different ML models. 
• Experience working on a variety of digital products including website, web apps and native mobile apps. 
• Hands-on prototyping skills with design tools, AI tools and/or no-code/low-code tools. 
• Experience with tool integrations, automations (e.g. CRMs, Bubble, Zappier), and SDKs (for payments, scheduling, video, audio, text communication). 
• Experience working on R&D projects and/or working on innovative early-stage products such as incubation teams, skunk works, or R&D teams. 

Additional Preferred Qualifications 

•  Experience working for an Assessment company, building formative assessments, stealth/embedded assessments is a huge plus. 
• Experience working as an API Product Manager, responsible for API use cases, documentation and integration is a plus. 
• Experience working with early-stage startups, corporate innovation labs, and testing new products or features. 
• Experience with using user testing tools like usertesting.com. 
• Degree in Computer Science, Data Science, Business or Human-Computer Interaction is a plus. 

Due to team location, we require a 4-5 hour of overlap with EST and BST for collaborative work.