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.

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

Competitive salary and comprehensive benefits package.
Opportunities for professional growth within Nebius.
Flexible working arrangements.
A dynamic and collaborative work environment that values initiative and innovation.

Technical Product Manager – Databases

Key skills