Associate Product Manager (APM) Internship
London, England, United Kingdom · Part Time
Be the first to apply
- Experience
- Any
- Salary
- GBP 500 – GBP 500 / month
- Openings
- 1
- Posted
- 3 days ago
- Work mode
- In office
- Education
- Computer Science, Engineering, Product Management, Data Science, Mathematics, Statistics, or related technical field
- Eligibility
- Current students or recent graduates with a technical background who have the right to work in the UK.
- Resume
- Required to apply
Where you'll work
Job description
About the company
MUBI is an international streaming platform, film producer, and distributor focused on championing exceptional cinema. The company curates, acquires, and promotes distinctive films so they can reach audiences across the world. Its teams span London, New York, Istanbul, Paris, Berlin, and Mexico, all working toward the same mission: making outstanding cinema more widely accessible.
About the role
This 12-week APM internship is a practical product experience where you will help deliver meaningful features and improvements across MUBI’s web, mobile, and living room products. The role sits between the technical and business sides of product work, so you will help turn member needs into product requirements, work closely with engineering and design, and use data to understand results. This is a hands-on position with real delivery responsibility.
By the end of the program, you are expected to have identified a problem, shaped a solution, worked with cross-functional partners, and launched something used by members or internal teams.
Key impact areas
- Take ownership of a product area, from early discovery and problem framing through launch and delivery.
- Create concise product specifications, set measurable success criteria, and manage priorities within a live backlog.
- Work alongside senior product managers, engineers, designers, data specialists, and business stakeholders to build and improve products.
- Use data and user insights to guide decisions and evaluate the effect of new releases.
- Leverage modern AI tools to accelerate research, prototyping, and execution.
Minimum qualifications
- You are currently studying or have recently graduated in Computer Science, Engineering, Product Management, Data Science, Mathematics, Statistics, or a closely related technical discipline.
- You have previous internship experience or teaching assistant experience in software development, product management, or a comparable technical area.
- You can show leadership through entrepreneurial activity, student groups, or outreach initiatives, and you are comfortable working across functions.
- You are confident using current AI tools such as Claude Code and Codex as part of your regular workflow.
- You communicate clearly and can simplify complex ideas into practical plans for both technical and non-technical audiences.
Preferred qualifications
- You have worked with Agile methods to support product development and delivery.
- You bring analytical experience through programming, data analysis, business modelling, pricing work, or user experience design.
- You have exposure to AI/ML concepts through academic projects or independent side projects.
- You are a strong problem solver who can work through ambiguity and juggle several projects at once.
- You have a genuine interest in film and enjoy thinking about how great products can bring cinema to a wider audience.
Program perks and return opportunities
- Each intern receives support from a dedicated manager and an APM buddy throughout the internship.
- You will own a meaningful project that has real users and real business impact.
- High performance during the internship may lead to an offer for a full-time role on the Product or Engineering team.
Practical details
The internship runs for 12 weeks and offers a stipend of £500 per month. Applicants must have the legal right to work in the UK.
Equal opportunity
MUBI is committed to equal employment opportunity. Hiring and employment decisions are made without discrimination based on race, colour, religion, nationality or ethnic origin, age, gender identity or expression, sex, marital status, disability, socioeconomic background, sexual orientation, family or parental status, or any other protected characteristic.