At a Glance
- Tasks: Lead product management for AI infrastructure, driving innovation and cross-functional collaboration.
- Company: Join SCC, a diverse and inclusive tech company in Birmingham.
- Benefits: Enjoy a competitive salary, flexible benefits, and paid volunteering days.
- Other info: Great career growth opportunities in a dynamic tech landscape.
- Why this job: Make an impact in AI while working in a hybrid environment.
- Qualifications: Experience in product management or related roles with strong communication skills.
The predicted salary is between 50000 - 65000 € per year.
About The Role
We are actively building diverse teams and welcome applications from everyone.
Location: Birmingham (SCC operates hybrid working, which comprises a mix of office and home working)
Contract Type: Permanent
Salary Package: Competitive salary plus large company benefits, a broad flexible benefits scheme, and 2 paid‑for volunteering days a year.
Hours: 9.00 am – 5.30 pm Monday – Friday
Interview Process: 2-stage process
Why SCC?
- An inclusive workplace
- Excellent package: solid basic and company benefits
- Hybrid working
Responsibilities:
- Drive cross‑functional execution with predictable delivery.
- Drive go‑to‑market readiness: positioning, messaging, sales enablement assets, demos, competitive plays, and launch plans.
- Establish product metrics and feedback loops (adoption, performance, reliability, NPS/customer satisfaction, attach rates) and iterate based on data.
- Work with partners (OEMs, GPU vendors, ISVs, SIs) to build validated reference architectures and integrated solutions.
- Ensure operational excellence: documentation, upgrade paths, lifecycle planning, support escalations, and continuous improvement.
Skills and experience required:
- Experience in product management or an adjacent role where you owned requirements and influenced roadmap (e.g., solutions architect, engineering lead, technical program manager, technical marketing, pre‑sales).
- Ability to work cross‑functionally and drive alignment across engineering, sales, partners, services, and support.
- Strong written and verbal communication: can turn complex infrastructure/AI concepts into crisp product narratives.
- Solid technical foundation in infrastructure and cloud‑native concepts (compute, storage, networking, containers/orchestration, security basics).
- Customer‑centric mindset with hands‑on discovery skills (interviews, problem framing, prioritisation).
- Passion for AI and accelerated computing, with evidence of continuous learning (projects, labs, community, courses, etc.).
- Nice to have: Product experience in datacentre hardware, cloud infrastructure, HPC, AI platforms, or security/compliance products.
- Familiarity with GPU ecosystem concepts (CUDA awareness, GPU memory constraints, interconnects, training vs. inference economics).
- Understanding of private AI solution patterns and components (RAG, vector databases, model serving, evaluation, guardrails, observability).
- Experience defining reference architectures and deployment blueprints for on‑premises and hybrid environments.
- Comfort with performance, reliability, and capacity planning topics (benchmarking, SLOs/SLAs, utilisation, power/cooling considerations).
- Partner ecosystem experience and experience launching joint solutions with OEMs/ISVs/SIs.
SCC is committed to providing equal opportunities and a proactive and inclusive approach to equality and diversity in employment.
Product Manager - ENT AI Infrastructure employer: SCC
SCC is an excellent employer that champions inclusivity and offers a competitive salary package alongside extensive benefits, including a flexible benefits scheme and paid volunteering days. With a hybrid working model based in Birmingham, employees enjoy a collaborative work culture that fosters cross-functional teamwork and continuous learning, making it an ideal environment for personal and professional growth in the rapidly evolving field of AI infrastructure.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager - ENT AI Infrastructure
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for those interviews! Research the company and its products, especially in AI and infrastructure. Show them you’re not just another candidate; you’re genuinely interested in what they do.
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience aligns with their needs. Use examples from your past roles to demonstrate your skills in product management and cross-functional collaboration.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Product Manager - ENT AI Infrastructure
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Product Manager role. Highlight your experience in product management and how it aligns with our needs at StudySmarter. We want to see how you can drive go-to-market readiness and work cross-functionally!
Showcase Your Communication Skills:Since strong written and verbal communication is key, use your application to demonstrate this. Break down complex concepts into clear narratives. We love seeing candidates who can articulate their thoughts well, especially when it comes to AI and infrastructure.
Highlight Your Technical Background:Don’t forget to mention your technical foundation! Whether it's cloud-native concepts or your familiarity with the GPU ecosystem, we want to know how your skills can contribute to operational excellence at StudySmarter.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at SCC
✨Know Your Product Inside Out
Before the interview, dive deep into the specifics of the AI infrastructure products relevant to the role. Understand their features, benefits, and how they fit into the market. This will help you articulate your thoughts clearly and show your passion for the product.
✨Showcase Your Cross-Functional Skills
Be prepared to discuss examples from your past experiences where you've successfully collaborated with different teams like engineering, sales, and support. Highlight how you drove alignment and what impact it had on the project outcomes.
✨Communicate Complex Ideas Simply
Practice explaining complex infrastructure and AI concepts in a straightforward manner. Use analogies or real-world examples to make your points relatable. This will demonstrate your strong communication skills and customer-centric mindset.
✨Demonstrate Continuous Learning
Share your journey of continuous learning in AI and infrastructure. Whether it's through projects, courses, or community involvement, showing that you're proactive about staying updated will resonate well with the interviewers.
