SoundSenseAI Graduate Programme
OpenWe work with clients to redesign operations, build AI-enabled products and workflows, and develop the skills needed to use them well. Our work sits across business, product, design and engineering.
We are looking for graduates who want to learn how real products and business systems go from an unclear problem to something people can use.
You do not need a computer science degree. You do need to understand the fundamentals of software engineering and show us something you have built. That might be an application, website, automation, prototype, data project, agent, university project or small business. It does not need to be commercially successful or technically perfect. We care about what you made, who it was for, what you learned and whether you finished it.
Choose your pathway
Everyone on the programme works across disciplines. Choose the pathway that best matches where you can contribute now and what you want to learn next. You may select a second pathway if your experience genuinely spans both.
1. Product Engineering
For people who most enjoy building and improving working software.
You might:
- turn a client or user problem into a simple technical plan;
- build features across data, application logic and user interfaces;
- prototype AI-enabled tools and workflows;
- use coding agents to increase your output while maintaining tests and code quality;
- test, deploy, monitor and improve what you build;
- explain technical choices to colleagues and clients.
This pathway may suit graduates in computer science, software engineering, data science, mathematics or another technical subject. Your degree title is less important than evidence that you can build.
2. Product & Business
For people who enjoy understanding customer and business needs, shaping practical solutions and working with clients and engineers to turn ideas into useful outcomes.
You might:
- understand how a customer or business currently works and where the real need sits;
- translate that need into clear requirements and priorities;
- work directly with clients through discovery and delivery;
- build lightweight prototypes or automations to test ideas early;
- work with engineers to turn requirements and product decisions into working software;
- document decisions, recommendations and next steps clearly.
This pathway may suit graduates in product design, business, communications, engineering, human-computer interaction, psychology, economics or another analytical or technical subject. You do not need to be an engineer, but you must understand software-engineering fundamentals and be comfortable using code and AI tools to prototype, test ideas and work effectively with engineering.
What everyone on the programme will do
Whichever pathway you choose, you will:
- work on a real internal or client problem with a supervisor;
- help take work from discovery through to a usable result;
- use modern AI tools, including coding agents, as part of your daily work;
- work with people from business, product, design and engineering;
- show your work regularly, respond to feedback and improve it;
- document what you build and what you learn;
- take responsibility for an agreed outcome, with support appropriate to your experience.
Client access and production-system access will depend on the project, your experience and the client's security requirements. Graduates will not be left solely responsible for critical client decisions or production systems.
Example work at SoundSenseAI
Our teams have worked on:
Your first project will be scoped for someone starting their career. We will not expect you to arrive able to deliver these systems alone.
What we are looking for
You must be able to show:
- a basic understanding of how software works and how code is used to build products;
- at least one project or product that you took far enough for someone else to use, test or review;
- clear thinking about the problem you were trying to solve and the choices you made;
- curiosity about business, users and product decisions, not only the technology;
- the ability to explain your work clearly to technical and non-technical people;
- initiative, reliability and a willingness to ask for help when you need it;
- thoughtful use of AI tools, with the judgement to check their output rather than accept it blindly.
We do not require:
- a particular degree subject;
- knowledge of a specific programming language or framework;
- a polished commercial product;
- prior consulting experience.
Useful experience
Any of the following would be helpful, but none is essential:
- building a web or mobile application;
- automating a manual task;
- working with data, APIs or language models;
- conducting user research or testing a prototype;
- running a student society, project or small business;
- explaining technical ideas through writing, presentations or workshops;
- contributing to an open-source or team codebase;
- deploying and maintaining something used by other people.
What you will learn
You will learn how to:
- find the real problem behind an initial request;
- decide what to build, buy, automate or leave alone;
- turn discovery into a focused plan and usable product;
- work with AI tools without giving up quality or judgement;
- balance user needs, business value, technical constraints and delivery speed;
- communicate with clients and contribute in a multidisciplinary team;
- take a piece of work from an idea to a demonstrable outcome.
You will have a named supervisor, regular feedback and access to experienced founders, product practitioners and engineers. We will agree learning goals and a concrete project outcome at the start, and review progress together after three months.
Practical details
- Who can apply: Graduates, and final-year students who will have finished their degree before they start.
- Start: Throughout the year, by agreement.
- Location: Remote-first. Applicants may be based in any country within two hours of GMT. Any in-person team or client work and related travel will be agreed in advance.
- Hours: Full-time. We expect reliable, sustained commitment and will review progress regularly.
- Pay: This is a paid role at a competitive rate for a graduate position.
- Contract: This role is offered on a contract basis.
Start with a short introduction.
We review your video before inviting you to an AI build session. A Q&A with the founders and case studies follow.
-
Required to apply · Up to 10 minutes
Introduce yourself
Record a video introducing yourself and telling us why you want to join SoundSenseAI.
Then walk us through something you’ve built: why you built it, what it set out to achieve, the considerations you had to weigh and how it turned out. Private projects are welcome if you can explain them without disclosing anything confidential.
Email your video link to careers@soundsenseai.com with your preferred pathway. A CV is recommended but optional.
Email your introduction -
If your video is successful · 90 minutes
AI build session
Complete a product development task with an AI agent in an environment we provide, in one continuous 90-minute session. Expect some code. The task is the same for both pathways.
We analyse the session to understand how you work with AI. We’ll tell you in advance what is recorded and how it is used.
Later selection stages
-
15 minutes
Meet the founders
A short Q&A with the founders where you ask the questions: anything you want, about SoundSenseAI or anything else on your mind.
-
90 minutes
Case studies
Work through a set of problems in real time with members of the team, tailored to your pathway. We look at your reasoning and communication as well as your answers, then explain the next steps.
The selection process takes about two weeks. You'll always know what's next and where you stand.