Senior Product Manager - AI Student Engagement & Prediction.

Educations Media Group; London; Remote; GBP 60,000 - 90,000; Full time

Job summary

An innovative education technology firm is seeking an experienced product manager to enhance their machine learning capabilities. This fully remote role involves leading the development of predictive models and intelligent recommendation engines to transform the student journey. Collaborating with cross-functional teams, you will integrate AI solutions that personalize student engagement and drive enrollment success. Join a diverse and inclusive workplace that values your contributions and offers opportunities for growth. This is a chance to make a significant impact in the education sector while working with a passionate team dedicated to improving student outcomes.

Benefits

Performance-based bonus

Extra 3 days off at Christmas

Flexible working hours

Professional development opportunities

Qualifications

• 5+ years of product management experience, with a focus on AI and ML.
• Strong understanding of predictive modeling and recommendation systems.

Responsibilities

• Lead the development of machine learning models for student engagement.
• Define vision and strategy for predictive models and AI-driven tools.

Skills

Product Management

Machine Learning

Predictive Analytics

Generative AI

Cross-functional Collaboration

Problem-solving

Analytical Skills

Communication Skills

Education

Bachelor's Degree

Experience in Education Technology

Tools

CRM Platforms

Marketing Automation Tools

Job description

Who we are

UniQuest, part of Keystone Education Group, is the leading student recruitment technology and services provider to higher education. Based in the UK and founded in 2013, we partner with higher education institutions to improve student engagement from first enquiry to enrolment. We offer a comprehensive platform solution, an expert workforce, and data-led processes to engage students globally. With over 250 team members across four international offices, we foster a culture of ownership and flexibility, supporting career growth and focusing on tech-enabled, people-driven, and process powered solutions. Altogether with Keystone we are more than 800+ people, underpinned by a successful student demand generation business with over 5,500 global university partners and 110 million student visitors to our websites annually.

What are we looking for

An experienced product manager who is driven to take our prediction model to the next level. Your passion for AI and ML will mean that you are driven to transform the student journey with your innovative approach.

What you’ll be doing

You will lead the development of machine learning models that forecast a student’s suitability and likelihood to enrol in a specific study program. You will also drive the creation of intelligent recommendation engines that suggest the next best action to support and encourage each student’s journey — whether it’s a personalised email, a tailored message, or a human follow-up — generated dynamically using Generative AI.

You will work closely with data scientists, machine learning engineers, and operational teams to build, launch, and optimise these models and systems, making them a core part of how we support students globally.

What are you responsible for

• Define the vision, strategy, and roadmap for predictive models and AI-driven engagement tools.
• Work with data teams to design models that predict student-program fit and likelihood of enrolment, using demographic data and behavioural activity across our platforms.
• Lead the development of recommendation engines that suggest personalised next actions, leveraging Generative AI for communication outputs.
• Partner with engineering and operations teams to integrate models into workflows and ensure seamless operationalisation.
• Establish clear KPIs to measure model accuracy, engagement impact, and enrolment outcomes, and continuously drive improvements.
• Ensure all AI-driven activities are compliant with data privacy and ethical standards.
• Translate complex machine learning concepts into actionable features and tools for business users.
• Regularly collaborate with marketing, enrolment, and student advisory teams to align AI-driven actions with real-world student needs.

What you’ll have

• 5+ years of product management experience, including at least 2 years working directly with machine learning or predictive analytics products.
• Strong understanding of predictive modelling, recommendation systems, and Generative AI applications.
• Experience operationalising machine learning products into customer-facing workflows.
• Proven ability to work cross-functionally with data science, engineering, and business operations teams.
• Excellent problem-solving, analytical, and communication skills.
• A passion for using AI to meaningfully improve the student decision-making journey.

What is nice to have

• Experience in education technology, marketing automation, CRM platforms, or enrolment services.
• Knowledge of ethical AI, privacy considerations, and responsible data use.
• Experience building and scaling products in a startup or fast-moving environment.

What you’ll get

• To lead and develop the model to significantly impact the way we operate across the business
• To enable new products and services to unlock new revenue streams
• The ability to implement innovative solutions that take our services to the next level.

At UniQuest, we strive to create a fantastic workplace where employees feel engaged and supported. We take various steps to ensure our team can excel in their roles and seize new opportunities.

In exchange for helping us do business in the right way we have a rewards package that includes your salary, a company performance-based bonus and other nice things like an extra 3 days off at Christmas.

At UniQuest, we believe in having a diverse team at all levels of the company. We welcome applications from everyone, no matter their background. Our Equal Opportunities Policy is here to help everyone who works with us reach their full potential. We want to make sure that all the talents and resources of our team are fully utilised to create a workplace with opportunities for everyone.

Please send us your application, in English, by hitting the button "Apply here!". This is a fully remote role with occasional travel to campus for partner meetings or company events.

Keystone is an equal-opportunity employer. We celebrate diversity and are deeply committed to fostering an inclusive environment for all employees.