At a Glance
- Tasks: Lead the development of an AI inference platform, driving strategy and execution.
- Company: Join Nebius, a pioneering cloud infrastructure company for the AI economy.
- Benefits: Enjoy competitive pay, career growth, flexibility, and a collaborative culture.
- Other info: Be part of a diverse team shaping the future of AI globally.
- Why this job: Make a meaningful impact on cutting-edge AI projects in a fast-paced environment.
- Qualifications: Experience in technical product management and deep understanding of AI inference.
The predicted salary is between 72000 - 88000 £ per year.
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role: We’re building Nebius Token Factory, an AI inference platform for high-performance, cost-efficient workloads at scale, serving both developers and managed enterprise customers. As a Senior/Principal Product Manager, Inference Platform, you’ll join a team of PMs under the Inference Platform lead and own a core platform stream end to end, from strategy and roadmap to launch and adoption. The scope evolves quickly with the market (new models, modalities, hardware and customer needs), with a strong emphasis on scalability and reliability.
Your responsibilities will include:
- Own the roadmap and outcomes for a part of the inference platform, aligning several cross-functional engineering teams across public API, routing, performance, reliability and enterprise enablement features.
- Work with engineering and research to make inference more scalable, reliable and cost-efficient, and turn that into capabilities customers can depend on.
- Stay close to customers through research, interviews and hands-on PoCs, especially in managed enterprise.
- Track the market: open-source models, inference economics, and how businesses actually apply AI. Turn what you see into product bets.
We expect you to have:
- Experience shipping technical platform products, with the seniority to lead work across multiple engineering teams.
- Real technical depth in how AI inference works, including model serving, distributed systems and production infrastructure. You think problems through yourself rather than relying on engineers to define them.
- Strong communication and expectations management across engineering, research, sales, support and leadership. You write crisp PRDs, RFCs and release notes.
- B2B/enterprise experience with technical buyers.
- Comfort with ambiguity and shifting scope.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.
Senior Technical Product Manager - Inference Platform employer: Nebius
At Nebius, we pride ourselves on being at the forefront of cloud computing and AI, offering our employees a unique opportunity to work alongside industry leaders in a dynamic and collaborative environment. With a competitive salary, comprehensive benefits, and flexible working arrangements, we foster professional growth and innovation, making our London office an exciting place for Business Development Consultants to thrive and contribute to transformative projects.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Technical Product Manager - Inference Platform
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Nebius or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Nebius.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Nebius.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Nebius that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Technical Product Manager - Inference Platform
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Nebius.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Nebius and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Nebius
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Nebius uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.