Technical Product Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Technical Product Manager (AI): Leading strategy and execution for database products focused on OLTP, vector, and in-memory databases used to build AI applications and agents with an accent on how customers store transactional data, retrieve semantic context, and serve low-latency memory/state for production AI systems. Focus on translating customer problems into scalable product capabilities.
Location: Amsterdam, Netherlands; New York, United States
Company
is leading a new era in cloud computing to serve the global AI economy.
What you will do
- 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.
Requirements
- 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.
Nice to 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.
Culture & Benefits
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within .
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
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