ApplySarthiSenior Product Manager - Inference Platform
Nebius
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Read from the description itself, not inferred.
This role on the market
195 open inference roles across 47 companies are on ApplySarthi right now, most of them in Bengaluru (3), Delhi NCR (2).
- Senior Software Engineer, Inference PerformanceTensordyne
- Software Dev Engineer, Items and Offers Platform, Relationship Inference and CorrectionAmazon
- AI Research Engineer, InferenceWehrtyou
- Lead Data Scientist, Causal Inference & Clinical Outcomes ContractorJobgether
- Senior AI Research Engineer - LLM Training & Inference InfrastructureDatadog
What inference roles keep asking for: LLMs (67%), Python (62%), Machine learning (40%), PyTorch (36%), C++ (29%), Observability (26%), Generative AI (25%), Kubernetes (25%) — counted across their open postings here.
Product Manager jobs in the United States · Remote Product Manager jobs · Product management jobs
Nebius has 482 open roles listed here.
- Compensation Business Partner, Infrastructure
- Data Center Technician Manager
- Senior Manager, Integrated Marketing Campaigns
- Senior AP Accountant
- L3 Support Engineer
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for inference roles keep coming back to LLMs, Python, Machine learning, PyTorch. Practise those questions before you sit with Nebius.
Questions you are likely to be asked
- Why do you want to join Nebius?
- What is your experience with B2B? Tell me one thing you learned the hard way.
- How would you improve a product you use every day?
- Tell me about a product decision you made with incomplete data.
- How do you decide what goes into the next release and what waits?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Senior Product Manager - Inference Platform at Nebius interview free →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.
You are welcome to work remotely from the US.
Your responsibilities will include:
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Own the roadmap and outcomes for a part of the inference platform, aligning several cross-functional engineering teams across advanced model optimization, inference performance, model delivery, reliability, and enterprise features.
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Work with engineering and research to make inference more scalable, reliable and cost-efficient, and turn that into capabilities customers can depend on.
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Stay close to customers through research, interviews and hands-on PoCs, especially in managed enterprise.
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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:
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Experience shipping technical platform products, with the seniority to lead work across multiple engineering teams.
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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.
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Strong communication and expectations management across engineering, research, sales, support and leadership. You write crisp PRDs, RFCs and release notes.
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B2B/enterprise experience with technical buyers.
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Comfort with ambiguity and shifting scope
It will be an added bonus if you have:
- Post-training experience, including training draft models.
- Experience with third-party technical partnerships.
Key employee benefits in the US:
- Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) plan: Up to 4% company match with immediate vesting.
- Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
- Remote work reimbursement: Up to $85/month for mobile and internet.
- Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
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.
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Listed on greenhouse · posted 2026-08-05. ApplySarthi collects openings and links to application pages; the role is advertised by Nebius, not by us.