At a Glance
- Tasks: Create innovative AI products and prototypes while collaborating with diverse teams.
- Company: Join a forward-thinking online university revolutionising education.
- Benefits: Flexible remote work, competitive salary, and opportunities for continuous learning.
- Other info: Dynamic role with a focus on experimentation and real-world impact.
- Why this job: Be at the forefront of AI innovation and shape the future of education.
- Qualifications: 2-4 years in product development with strong AI experience and coding skills.
The predicted salary is between 70000 - 90000 £ per year.
- Position Title: AI Product Specialist
- Working
Rhythm: Innovation is a 24/7 pursuit, but we value your downtime.
While our typical working hours are 9am-5pm in your timezone, we embrace flexibility and trust you to manage your schedule to meet your individual needs and peak productivity times.
Occasionally, longer hours may be to tackle challenges, support new releases, or contribute to time-sensitive initiatives.
- Reporting To: Chief Product Officer
- Role
We're looking for someone who lives at the edge of AI possibilities—someone who wakes up thinking about what they can build with the latest models, tools, and techniques.
You're the kind of person who has strong opinions about Claude vs Chat GPT vs Gemini because you've actually shipped things with all of them.
You experiment relentlessly, you vibe code like others scroll social media, and you want to build the future.
As our AI Product Specialist, you'll be our internal R&D lab and strategic advisor rolled into one.
You'll prototype agentic experiences, pressure-test new AI capabilities, and help me make smart bets on what we should build.
You'll balance hands-on building with strategic thinking—shipping experiments fast while developing frameworks for how we should think about AI across our product.
At Nexford we're building a new kind of university: one that's affordable, flexible, relevant, and 100% online.
One that prepares learners for the careers of tomorrow, without the burden of student debt.
Key Responsibilities
- Ship rapid AI experiments: Build working prototypes of agentic workflows, conversational interfaces, and AI-assisted features.
Move from idea to clickable demo in days, not weeks.
You're comfortable with imperfect MVPs that teach us something and can help get buy in for deeper investment.
- Develop strategic recommendations: Translate hands-on learning into actionable guidance for the CPO. Where should we invest our AI resources in?
- Stay bleeding-edge current: The AI space is rapidly changing, with new models and techniques regularly emerging.
You'll stay on top of the latest and encourage us to integrate new concepts.
- Design agentic experiences: Go beyond chatbots and build fully agentic systems with orchestration.
- Bridge technical and product thinking: Translate between what's technically possible and what creates real user value.
- Cross-functional
Collaboration: Collaborate with cross-functional teams across Nexford, including Learner Success, Academic Operations, Technology, and Marketing, to ensure a cohesive and seamless learner experience.
Additionally, foster successful market introduction of new products, features, and experiences.
- Data-Driven
- Decision
Making: Utilize user research, data analytics, and learner feedback to assess product performance, identify areas for improvement, and inform future iterations.
- Continuous Improvement: Promote a culture of continuous improvement, iterating on products and services based on feedback and data insights.
Skills & Qualifications
- 2-4 years working to ship features and products, with meaningful AI experience: You've built real features that real users have used.
Bonus if you've worked on conversational AI, agents, or developer tools.
- Vibe coding as a superpower: You can go from idea to working code fast.
You're comfortable with Claude/Cursor/Copilot/Lovable/v0 and whatever comes next.
You write code to think, not just to ship.
You know when to polish and when to stay scrappy.
- Deep curiosity about AI tools and techniques: You have strong opinions (weakly held) about RAG architectures, prompt engineering, function calling, fine-tuning, and when to use what.
- Tinkerer mentality: You build side projects. You have a personal AI stack. You like to experiment.
- Product taste alongside technical chops: You know the difference between a cool demo and a useful feature.
- Clear communication: You can explain complex AI concepts to non-technical stakeholders to get buy-in and build a shared understanding.
If you're passionate about transforming lives through education and have a proven track record of delivering exceptional customer experiences, we encourage you to apply!
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Product Specialist in Telford
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Grabjobs!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Grabjobs would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Grabjobs through your school's career services!
We think you need these skills to ace Remote AI Product Specialist in Telford
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Remote AI Product Specialist, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Remote AI Product Specialist position at Grabjobs. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Grabjobs
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
