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For Companies At a Glance
- Tasks: Lead AI-driven projects to enhance student engagement and predict enrolment success.
- Company: Join UniQuest, a top player in student recruitment tech, transforming education globally.
- Benefits: Enjoy remote work, extra holiday days, and a performance-based bonus.
- Why this job: Make a real impact on students' journeys with innovative AI solutions in a supportive culture.
- Qualifications: 5+ years in product management with experience in machine learning and predictive analytics.
- Other info: Diversity is celebrated here; we welcome applicants from all backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
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.
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Senior Product Manager - AI Student Engagement & Prediction. (London) employer: Educations Media Group
Contact Detail:
Educations Media Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Manager - AI Student Engagement & Prediction. (London)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially in the context of student engagement. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the education technology sector. Attend relevant conferences or webinars where you can meet people who work at UniQuest or similar companies. This can provide you with insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Prepare to showcase your experience with predictive modelling and recommendation systems. Think of specific examples from your past roles where you've successfully implemented these technologies, as this will be crucial in demonstrating your fit for the role.
✨Tip Number 4
Understand the ethical implications of AI in education. Be ready to discuss how you would ensure compliance with data privacy and ethical standards in your projects, as this is a key responsibility mentioned in the job description.
We think you need these skills to ace Senior Product Manager - AI Student Engagement & Prediction. (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in product management, particularly with machine learning and predictive analytics. Use specific examples that demonstrate your ability to lead projects and collaborate with cross-functional teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it can enhance the student journey. Discuss your vision for predictive models and how your previous experiences align with the responsibilities outlined in the job description.
Showcase Relevant Skills: Emphasise your understanding of predictive modelling, recommendation systems, and Generative AI applications. Provide concrete examples of how you've operationalised machine learning products in past roles.
Highlight Collaborative Experience: Since the role involves working closely with data scientists and engineers, mention any past experiences where you successfully collaborated with technical teams. This will demonstrate your ability to bridge the gap between technical and non-technical stakeholders.
How to prepare for a job interview at Educations Media Group
✨Showcase Your AI Passion
Make sure to express your enthusiasm for AI and machine learning during the interview. Discuss any relevant projects or experiences that highlight your passion and how you envision using these technologies to enhance student engagement.
✨Demonstrate Cross-Functional Collaboration
Prepare examples of how you've successfully worked with data scientists, engineers, and operational teams in the past. This role requires strong collaboration skills, so showcasing your ability to bridge gaps between different functions will be crucial.
✨Understand Predictive Modelling
Brush up on your knowledge of predictive modelling and recommendation systems. Be ready to discuss specific methodologies you've used and how they can be applied to improve student journeys, as this is a key responsibility of the role.
✨Prepare for Ethical Considerations
Familiarise yourself with ethical AI practices and data privacy regulations. Be prepared to discuss how you would ensure compliance in your work, as this is an important aspect of the role and reflects your understanding of responsible AI use.
