AI Product Manager - Innovation Lab

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. 

Minimum Qualifications

• Passion for leveraging emerging technologies to create innovative products.
• 5+ years in Product Management, including 2+ years with ML-powered features/products.
• Proven experience launching 0-to-1 products and coordinating GTM strategies.
• Hands-on experience deploying ML-powered features, from ideation to iteration.
• Strong collaboration with UX/UI designers on design feedback and fidelity.
• Expertise in AI technologies, architectures, and navigating ML trade-offs.
• Proficiency in prototyping with no-code/low-code or AI tools.
• Deep knowledge in areas such as conversational AI, generative AI, or API product management.
• Familiarity with tool integrations, automations (e.g., CRMs, Bubble, Zapier), SDKs, and cloud services (AWS, GCP, Azure).
• Demonstrated success with R&D projects or early-stage product innovation.
• Ability to simplify complexity, avoid over engineering, and operate in ambiguity.
• Proficiency in English; additional languages a plus.

Preferred Qualifications

• Experience in EdTech or building learning applications in language learning, higher education, or workforce upskilling.
• Background in assessments, including formative or embedded/stealth assessments.
• Prior API Product Management experience with use cases, documentation, and integrations.
• Familiarity with user testing platforms like usertesting.com.
• Experience with early-stage startups, innovation labs, or testing new products/features.
• Degree in Computer Science, Data Science, Business, or Human-Computer Interaction.

We are looking forward to meet you!