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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 70000 - 90000 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 employer: Jobgether
Contact Detail:
Jobgether Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Technical Product Manager - Serverless AI
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio or side projects that showcase your technical prowess, especially around AI and cloud infrastructure. This will give you an edge when chatting with potential employers.
✨Ace the Interview
Prepare for those tricky technical questions by brushing up on your knowledge of containers, APIs, and distributed systems. Practice explaining complex concepts in simple terms – it’s all about making it relatable for your audience!
✨Apply Through Our Website
When you find a role that excites you, apply directly through our website! It shows your enthusiasm and gives us a chance to see your application first-hand. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Technical Product Manager - Serverless AI
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Technical Product Manager role. Highlight your experience with AI infrastructure and developer tools, and show us how your skills align with our needs.
Showcase Your Technical Skills: We want to see your hands-on experience with containers, APIs, and distributed systems. Don’t just list them; give us examples of how you've used these technologies in your previous roles to solve real problems.
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language to explain complex concepts, as this reflects the communication skills we value at StudySmarter. Keep it professional but approachable.
Apply Through Our Website: We encourage you to submit your application directly through our website. This way, you’ll ensure it reaches the right people and you can easily track your application status. Plus, it’s super easy!
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 Your Product Roadmap Insights
Think about how you would approach developing a product roadmap for a serverless AI platform. Be prepared to share your ideas on prioritising features and how you would translate customer feedback into actionable improvements.
✨Showcase Your Communication Skills
Since this role involves simplifying complex concepts for various stakeholders, practice explaining technical topics in layman's terms. You might even want to prepare a few examples of how you've done this in past roles.
✨Engage with Real-World Scenarios
Be ready to discuss real-world scenarios where you've had to make tough architectural decisions or handle scaling challenges. Use these examples to demonstrate your analytical mindset and problem-solving skills.