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SeniorУдалённоПолная занятость

Technical Product Manager - Databases

Оценка ИИ

Nebius — это быстрорастущий игрок на рынке ИИ-облаков с серьезным финансированием и мощной технической базой. Работа над продуктами для баз данных в контексте ИИ сейчас является одной из самых перспективных и высокооплачиваемых ниш в ИТ.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких технических знаний в области распределенных систем и баз данных (OLTP, Vector, In-memory), а также умения работать в быстро меняющейся среде ИИ-инфраструктуры. Высокий уровень ответственности за стратегию продукта и необходимость взаимодействия с опытными инженерными командами делают эту позицию сложной.

Анализ зарплаты

Медиана175 000 $
Рынок130 000 $ – 220 000 $
Оценка ИИ

Зарплата в вакансии не указана, но для уровня Senior TPM в международных компаниях уровня Nebius (Nasdaq-listed) с фокусом на ИИ и облака, рыночные показатели значительно выше средних по индустрии. Ожидаемый диапазон для удаленной работы в Европе или США составляет $140k–$210k в год плюс опционы.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Technical Product Manager - Databases position at Nebius. With a solid background in distributed systems and a proven track record of shipping technical platform products, I am excited about the opportunity to shape the database strategy for your AI-native cloud infrastructure. My experience aligns perfectly with your focus on OLTP, vector, and in-memory databases, especially in the context of high-availability and low-latency production environments.

Throughout my career, I have excelled at translating complex customer needs into scalable product capabilities, working closely with engineering and SRE teams to deliver high-impact solutions. I am particularly drawn to Nebius's mission of providing hyperscaler-level AI infrastructure and would welcome the chance to contribute to your roadmap for RAG pipelines and agentic AI applications. I am confident that my technical depth and product judgment will help drive the growth and reliability of Nebius's database services.

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Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в nebius уже сейчас

Присоединяйтесь к Nebius, чтобы создавать инфраструктуру данных для будущего ИИ-экономики!

Описание вакансии

Why work at NebiusNebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we workHeadquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

The role

We are seeking a Senior Technical Product Manager - Databases to lead strategy and execution for Nebius database products focused on OLTP, vector, and in-memory databases used to build AI applications and agents.

You will define how customers store transactional data, retrieve semantic context, and serve low-latency memory/state for production AI systems. You will own the roadmap and priorities across transactional storage, retrieval, and real-time serving layers, translating customer problems into scalable product capabilities.

What success looks like in 12 months

  • 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.

Who thrives in this role

  • 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!

What we offer

  • 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.

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!

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Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • OLTP
  • Vector Databases
  • In-Memory Databases
  • Distributed Systems
  • Product Strategy
  • Roadmapping
  • SRE
  • High Availability
  • Scalability
  • AI Infrastructure
  • RAG

Возможные вопросы на собеседовании

Проверка понимания специфики ИИ-нагрузок и работы с векторными данными.

Как бы вы приоритизировали функции между улучшением задержки (latency) векторного поиска и обеспечением строгой согласованности (consistency) в OLTP для ИИ-агентов?

Оценка способности управлять жизненным циклом продукта в облачной среде.

Опишите ваш опыт внедрения функций высокой доступности (HA) и аварийного восстановления (DR) для управляемых сервисов баз данных.

Проверка навыков приоритизации в условиях неопределенности.

Как вы принимаете решение о включении новой технологии (например, новой векторной библиотеки) в дорожную карту, если рынок меняется быстрее, чем цикл разработки?

Оценка технического кругозора в области распределенных систем.

Какие компромиссы в рамках теоремы CAP наиболее критичны для ин-мемори хранилищ, используемых для хранения контекста LLM?

Проверка навыков взаимодействия с кросс-функциональными командами.

Расскажите о случае, когда вам пришлось убеждать инженерную команду изменить архитектурное решение в интересах пользовательского опыта или бизнес-целей.

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