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- Tasks: Drive product strategy for a next-gen serverless GPU platform and enhance developer experiences.
- Company: Join a cutting-edge AI infrastructure company with a collaborative culture.
- Benefits: Enjoy competitive salary, health coverage, flexible remote work, and professional growth opportunities.
- Other info: Fast-paced environment with excellent career growth and exposure to the latest AI technologies.
- Why this job: Make a real impact in AI by shaping innovative products and collaborating with top engineers.
- Qualifications: 3+ years in product management with strong technical skills in cloud infrastructure and AI.
The predicted salary is between 80000 - 100000 ÂŁ per year.
This role sits at the intersection of cutting‑edge AI infrastructure and developer product experience, owning key parts of a next‑generation serverless GPU platform. You will define and drive product strategy for workloads such as training jobs, inference endpoints, and developer environments, all running on highly scalable GPU infrastructure. Acting as both a deeply technical product builder and customer‑facing strategist, you will translate complex systems into intuitive developer experiences. The environment is fast‑paced, highly technical, and focused on building infrastructure purpose‑built for AI workloads. You will collaborate closely with engineering teams to shape architecture decisions across containers, scheduling, and distributed systems. At the same time, you will engage directly with AI engineers and enterprise customers to guide roadmap priorities. This is a high‑impact role where your decisions directly influence product adoption, performance, and scalability.
Accountabilities
- Own and co‑develop the Serverless AI product roadmap across jobs, endpoints, and developer environments, driving execution of high‑impact features from concept to delivery.
- Write precise, execution‑ready PRDs covering APIs, CLI design, state machines, billing models, and system behaviors for engineering implementation.
- Define and prioritize technical capabilities such as autoscaling, multi‑node workloads, cold start optimization, and container orchestration improvements.
- Partner with engineering to make architecture decisions across workload lifecycle, GPU scheduling, storage performance, and distributed compute systems.
- Lead customer discovery sessions and translate technical feedback and usage data into actionable product improvements.
- Own developer experience strategy, including CLI usability, onboarding flows, documentation, and error handling quality.
- Collaborate on go‑to‑market activities including pricing strategy, packaging, technical content, and developer adoption initiatives.
Requirements
- 3+ years of product management experience in cloud infrastructure, AI/ML platforms, or developer tooling environments.
- Strong hands‑on understanding of containers, Docker, APIs, and distributed systems, with the ability to debug and reason about infrastructure‑level issues.
- Solid knowledge of GPU computing for AI workloads, including training vs inference requirements and modern serving frameworks.
- Experience building or shaping developer‑facing products such as CLIs, SDKs, or APIs with strong usability considerations.
- Proven ability to conduct technical customer discovery and convert insights into product direction.
- Strong analytical and systems‑thinking mindset, capable of reasoning through workload lifecycles, scaling trade‑offs, and infrastructure constraints.
- Excellent communication skills with the ability to simplify highly technical concepts for diverse stakeholders.
Benefits
- Competitive salary with performance‑based bonus opportunities.
- Comprehensive health and medical coverage package.
- Flexible working arrangements with remote‑first culture.
- Professional development support and learning opportunities.
- Exposure to cutting‑edge AI infrastructure and GPU cloud technologies.
- Collaborative, high‑impact environment with strong engineering culture.
- Opportunity to shape a rapidly scaling AI‑native platform.
Senior Technical Product Manager - Serverless AI in London employer: Jobgether
Contact Detail:
Jobgether Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Technical Product Manager - Serverless AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and cloud infrastructure space on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your expertise! Create a portfolio or blog where you share insights about serverless AI, GPU infrastructure, or product management. This not only showcases your knowledge but also makes you memorable to potential employers.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s products and their tech stack. We recommend practicing how you’d explain complex concepts simply, as this is key for roles like Senior Technical Product Manager.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Technical Product Manager - Serverless AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Technical Product Manager. Highlight your experience with cloud infrastructure, AI/ML platforms, and any relevant developer tooling environments. 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 serverless 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 Technical Skills: Since this role is highly technical, be sure to include examples of your hands-on experience with containers, APIs, and distributed systems. We love seeing how you've tackled complex problems in the past, so don’t hold back!
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’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Jobgether
✨Know Your Tech Inside Out
Make sure you have a solid grasp of the technical aspects mentioned in the job description, like containers, APIs, and GPU computing. Brush up on your knowledge of serverless architectures and be ready to discuss how they apply to AI workloads.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems related to product management and technical challenges. Think about past experiences where you've had to make tough decisions or prioritise features, and be ready to share those stories.
✨Showcase Your Communication Skills
Since this role involves translating complex systems into user-friendly experiences, practice explaining technical concepts in simple terms. Be prepared to demonstrate how you can engage with both technical teams and non-technical stakeholders effectively.
✨Research the Company Culture
Familiarise yourself with the company's values and work environment. Since they emphasise a collaborative and high-impact culture, think about how your personal work style aligns with that and be ready to discuss it during the interview.