Technical Product Manager - Databases

The role

• Nebius has a clear, executed database strategy for OLTP + vector + in-memory workloads in AI applications.
• Customers are running production agentic/AI apps with strong reliability and predictable latency on Nebius.
• Core quality metrics improve materially (p95/p99 latency, availability, failover recovery time, and cost-efficiency).
• Database adoption and retention grow through developer-friendly product experiences and strong workload fit.

Your responsibilities will include: 

• Define and own the product vision and roadmap for OLTP, vector, and in-memory database capabilities.
• Turn customer and market input into clear product specs, priorities, and delivery plans.
• Lead cross-functional execution with Engineering, SRE, Security, Solution Architecture, and GTM teams.
• Drive critical capabilities including replication, failover, indexing, backup/recovery, observability, and scaling.
• Shape AI-specific data patterns such as hybrid retrieval, low-latency memory access, and workload isolation.
• Use product and operational metrics to guide decisions and continuous improvement.
• Track ecosystem and competitor trends to keep Nebius differentiated in AI-native data infrastructure. 

We expect you to have: 

• Track record of owning and shipping technical platform products with measurable business and user impact.
• Strong practical understanding of OLTP systems, vector retrieval systems, and in-memory data stores.
• Ability to reason clearly about trade-offs across consistency, latency, throughput, durability, reliability, and cost.
• Experience working deeply with engineering teams building distributed, high-availability systems.
• Strong product judgment under ambiguity, and the ability to make high-quality prioritization decisions.
• Excellent communication and stakeholder leadership across technical and non-technical audiences.

It will be an added bonus if you have: 

• Experience with AI/LLM application architecture, RAG pipelines, and agent frameworks.
• Experience building or scaling managed database services in cloud environments.
• Background in software engineering, distributed systems, data infrastructure, or site reliability engineering.
• Experience with enterprise and developer-facing products in fast-moving B2B environments.

• You like high ownership and high technical depth.
• You are comfortable making decisions with imperfect information.
• You care about shipping real outcomes, not writing roadmaps that never execute.
• You enjoy working across product, engineering, and go-to-market to deliver end-to-end impact.

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distinctly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. 

If you’re up to the challenge and are excited about AI and ML as much as we are, join us!