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For Companies At a Glance
- Tasks: Own the entire lifecycle of AI-powered features from strategy to execution.
- Company: Join a dynamic team focused on leveraging AI to enhance productivity and decision-making.
- Benefits: Enjoy autonomy in your role, work with cutting-edge technology, and collaborate with a tight-knit team.
- Why this job: Make a real impact by solving complex challenges and shaping innovative product features.
- Qualifications: Strong product mindset, experience in engineering and design, and proficiency in software development required.
- Other info: Opportunity for occasional travel across Europe and the US to meet customers.
The predicted salary is between 36000 - 60000 £ per year.
About the Role
As an AI Product Engineer, you will own the entire lifecycle features—from strategy to execution. This role blends product management, engineering, and design, empowering you to define user needs, build AI-driven solutions, and iterate rapidly based on real-world feedback. You’ll work across disciplines to shape our platform, leveraging AI as a tool to enhance your own productivity and decision-making.
What Success Looks Like
- Delivering fully realised AI-powered features, from idea to production
- Working closely with scientists and engineers to understand user needs and shape solutions
- Using AI to streamline development, automate workflows, and enhance decision-making
- Designing, prototyping, and iterating rapidly on product concepts
- Taking full ownership of your projects, driving them independently while collaborating with the team
- Occasionally travelling to meet customers across Europe and the US, gaining hands-on insights into their workflows
Key Responsibilities
- Define, design, and develop product features end-to-end
- Actively gather and interpret customer feedback to refine product direction
- Implement AI models into production, ensuring they deliver real value
- Use AI-assisted tools to optimise engineering, design, and decision-making processes
- Debug, optimise, and scale AI-powered solutions for performance and reliability
- Own the success of your features—from concept to launch to iteration
Requirements
- Ability to drive a product forward independently, from idea to execution
- A strong product mindset, with experience working across engineering, design, and user research
- Excellent communication skills, with the ability to work across teams and disciplines
- Proficiency in software development and an understanding of AI/ML integration
- STEM degrees strongly preferred
- Bonus: Experience with our tech stack: Node.js, Postgres, GraphQL, React.js
- Familiarity with AI tools, LLMs, or MLOps pipelines
Why You Should Join Us
- End-to-end ownership: You’ll have real autonomy in shaping product features
- AI-augmented work: You’ll leverage AI not just as a feature but as a tool to accelerate your impact
- Tight-knit, high-impact team: Your contributions will directly influence the success of the product
- Work on meaningful problems: You’ll help scientists and engineers solve complex challenges
AI Product Engineer employer: Seal
Contact Detail:
Seal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and product engineering. Understanding current technologies and methodologies will help you speak confidently about how you can contribute to our team.
✨Tip Number 2
Network with professionals in the AI and product management fields. Attend relevant meetups or webinars to connect with others who share your interests, as they may provide insights or referrals that could lead to opportunities at StudySmarter.
✨Tip Number 3
Showcase your ability to work cross-functionally by discussing past projects where you collaborated with different teams. Highlighting your experience in bridging gaps between engineering, design, and user research will make you stand out.
✨Tip Number 4
Prepare to discuss how you've used AI tools in previous roles. Being able to articulate specific examples of how you've integrated AI into your workflow will demonstrate your hands-on experience and understanding of its impact on productivity.
We think you need these skills to ace AI Product Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in product management, engineering, and design. Emphasise any projects where you've integrated AI or ML solutions, as this will resonate with the role's requirements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it can enhance productivity and decision-making. Share specific examples of how you've driven products from concept to execution, showcasing your ability to work independently and collaboratively.
Showcase Your Technical Skills: If you have experience with Node.js, Postgres, GraphQL, or React.js, make sure to mention these skills. Highlight any familiarity with AI tools, LLMs, or MLOps pipelines, as these are valuable assets for the position.
Demonstrate Communication Skills: Since excellent communication is key for this role, consider including examples of how you've successfully collaborated across teams. This could be through project descriptions or specific achievements that required cross-disciplinary teamwork.
How to prepare for a job interview at Seal
✨Showcase Your Product Mindset
Be prepared to discuss your approach to product development. Highlight any past experiences where you drove a product from idea to execution, focusing on how you gathered user feedback and iterated on your designs.
✨Demonstrate Technical Proficiency
Familiarise yourself with the tech stack mentioned in the job description, such as Node.js, Postgres, GraphQL, and React.js. Be ready to discuss how you've integrated AI/ML into your previous projects and the impact it had.
✨Communicate Effectively Across Disciplines
Prepare examples of how you've collaborated with different teams, such as engineers and designers. Strong communication skills are crucial, so practice articulating your thoughts clearly and concisely.
✨Emphasise Ownership and Independence
The role requires taking full ownership of projects. Share instances where you independently managed a project, detailing how you navigated challenges and ensured successful outcomes.
