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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 product management experience, especially related to AI infrastructure. This will help you stand out and demonstrate your ability to bridge customer needs with technical delivery.
✨Tip Number 3
Don’t just apply – engage! When you find a role that excites you, reach out to current employees on LinkedIn. Ask them about their experiences and express your interest in the position. This can give you insider info and make your application more memorable.
✨Tip Number 4
Keep it relevant! Tailor your conversations and networking efforts to focus on AI and infrastructure topics. Show your passion for emerging technologies and how you can contribute to the company’s goals. And remember, apply through our website for the best chance!
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 Product Manager role. Highlight your experience in product management, especially with 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 any relevant projects or experiences that showcase your customer-focused mindset.
Showcase Your Collaboration Skills: Since this role involves working closely with engineering and architecture teams, make sure to highlight your cross-functional collaboration skills. Share examples of how you've successfully worked with different teams to deliver on product goals.
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 out on 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 Approach
Since this role involves engaging with customers to understand their needs, prepare some examples of how you've successfully gathered and prioritised requirements in the past. Think about specific use cases and how you translated customer feedback into actionable product strategies.
✨Collaboration is Key
This position requires strong cross-functional collaboration skills. Be ready to share experiences where you've worked closely with engineering or architecture teams. Highlight how you facilitated communication between different departments to ensure everyone was aligned on product goals.
✨Metrics Matter
Familiarise yourself with key performance metrics relevant to product management. Be prepared to discuss how you've tracked product performance in previous roles and how you used feedback to drive continuous improvement. This will demonstrate your analytical mindset and commitment to delivering value.