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For Companies At a Glance
- Tasks: Lead product strategy for AI infrastructure and private AI solutions, bridging customer needs with tech delivery.
- Company: Join a leading organisation in the AI and infrastructure space, shaping the future of technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with opportunities to engage with emerging technologies and industry leaders.
- Why this job: Make an impact in the AI field while working on cutting-edge technologies and innovative solutions.
- Qualifications: Experience in product management or related roles, strong collaboration skills, and a passion for AI.
The predicted salary is between 60000 - 80000 £ per year.
We are working with a leading organisation in the AI and infrastructure space that is looking to hire a Product Manager to define and scale a portfolio of AI infrastructure and private AI solutions. This role focuses on GPU-accelerated systems, high-performance networking, storage, and the software stack required to run AI in production environments. You will bridge customer needs with technical delivery, shaping product strategy, roadmap, and go-to-market.
Key Responsibilities
- Own the product strategy and roadmap for AI infrastructure and private AI offerings
- Engage with customers to understand use cases, requirements, and constraints (e.g. compliance, latency, cost)
- Translate AI workloads into clear product requirements (training vs inference, performance, scalability)
- Define commercial models including packaging, pricing, and service offerings
- Work closely with engineering and architecture teams across compute, networking, storage, and software layers
- Create product documentation including requirements, user stories, and acceptance criteria
- Support go-to-market activities including positioning, messaging, and sales enablement
- Track product performance using key metrics and continuously improve based on feedback
- Collaborate with external partners to build integrated solutions and reference architectures
- Ensure smooth lifecycle management including documentation, upgrades, and support processes
Requirements
Essential:
- Experience in product management or a closely related role (e.g. solutions architecture, engineering, technical program management)
- Strong cross-functional collaboration skills
- Ability to communicate complex technical concepts clearly
- Solid understanding of infrastructure and cloud technologies (compute, storage, networking, containers)
- Customer-focused mindset with experience gathering and prioritising requirements
- Strong interest in AI and emerging technologies
Desirable:
- Background in data centre infrastructure, cloud platforms, HPC, or AI systems
- Familiarity with GPU-based environments and AI workload requirements
- Understanding of private AI architectures (e.g. model deployment, data pipelines, observability)
- Experience designing or working with on-prem or hybrid infrastructure solutions
- Knowledge of performance, scalability, and capacity planning
- Experience working with technology partners and joint solutions
Product Manager employer: asobbi
Contact Detail:
asobbi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and infrastructure space. Attend meetups, webinars, or industry events to meet potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or case studies showcasing your previous product management experiences, especially those related to AI infrastructure. This will help you stand out and demonstrate your expertise to hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Make sure you can clearly explain complex concepts related to GPU-accelerated systems and cloud technologies. We want you to impress them with your understanding of the field!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates. Let’s get you that Product Manager role!
We think you need these skills to ace Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Product Manager. Highlight your experience in product management, especially in AI infrastructure and cloud technologies. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you the perfect fit for this role. Don’t forget to mention specific projects or experiences that relate to the job description.
Showcase Your Collaboration Skills: Since this role involves working closely with various teams, make sure to highlight your cross-functional collaboration experience. Share examples of how you've successfully worked with engineering or architecture teams in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at asobbi
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI infrastructure and private AI solutions. Understand the key concepts around GPU-accelerated systems, high-performance networking, and storage. Being able to discuss these topics confidently will show that you're not just interested in the role but also have the technical chops to back it up.
✨Customer-Centric Mindset
Since this role involves engaging with customers to gather requirements, think about how you can demonstrate your customer-focused mindset. Prepare examples of how you've previously gathered and prioritised customer needs, and be ready to discuss how you would approach understanding use cases in this new role.
✨Collaboration is Key
This position requires strong cross-functional collaboration skills. Be prepared to share experiences where you've successfully worked with engineering or architecture teams. Highlight how you’ve bridged gaps between technical and non-technical stakeholders to deliver successful products.
✨Metrics Matter
Understanding product performance metrics is crucial for this role. Familiarise yourself with key performance indicators relevant to AI infrastructure and be ready to discuss how you would track and improve product performance based on feedback. This shows that you’re not just a planner but also someone who values continuous improvement.