1 day ago

Senior Product Manager, Search Infrastructure

Nebius

Amsterdam

1 day ago

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Nebius is seeking a Senior Product Manager for Search Infrastructure to own the quality bar, tradeoffs, and roadmap for Tavily's search index. The role requires 5+ years of product management experience with a technical background in high-scale search or ranking systems. This is a hands-on senior IC role reporting to the Director of Product, based in Amsterdam with a hybrid work model.

Core AIHybridFull-timeSeniorProduct ManagementSearch

Senior Product Manager, Search Infrastructure

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Core AIHybridFull-timeSeniorProduct Management

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

5 years

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

Product ManagementSearchRanking SystemsMachine LearningLLMsAI AgentsInformation RetrievalExperiment DesignData AnalysisEvaluationRoadmappingStakeholder ManagementTechnical BackgroundEngineeringSQL

Soft Skills

Product JudgmentComfort with AmbiguityInfluenceAlignmentCommunicationCritical ThinkingOwnershipCollaboration

Preferred Qualifications

Technical (Nice-to-have)

NLPApplied Machine LearningIndex TieringShardingFreshness PipelinesCost-per-query OptimizationHybrid RetrievalSemantic SearchLexical SearchRe-rankingHuman Evaluation ProgramsAPI-first PlatformsDeveloper-platform BusinessesHigh-growth Technology Company

Key Responsibilities

•Set the quality bar and release criteria for search: what good means per use case, and what a change has to clear before it ships.
•Own the depth, latency, and cost tradeoffs across our search products, and make them explicit and defensible.
•Shape the direction of our index: what it needs to cover, how fresh it needs to be, and what quality bar it has to meet.
•Build a point of view on where search infrastructure is going as agents, rather than people, become the main consumer, and turn that into a roadmap.
•Know how we compare to the alternatives customers evaluate, and drive the work that closes the gaps that matter.
•Work with customer success and directly with customers to understand where our results fall short in real workflows, and turn that into quality priorities.
•Partner with the data and vertical product owners on what our corpus needs to contain and how results should be shaped per industry.

Product ManagementSearch InfrastructureAICloudSeniorHybridAmsterdamNebiusTavilyFull-time

Core Qualifications

Technical (Must-have)

Product ManagementSearchRanking SystemsMachine LearningLLMsAI AgentsInformation RetrievalExperiment DesignData AnalysisEvaluationRoadmappingStakeholder ManagementTechnical BackgroundEngineeringSQL

Soft Skills

Product JudgmentComfort with AmbiguityInfluenceAlignmentCommunicationCritical ThinkingOwnershipCollaboration

Key Responsibilities

•Set the quality bar and release criteria for search: what good means per use case, and what a change has to clear before it ships.

•Own the depth, latency, and cost tradeoffs across our search products, and make them explicit and defensible.

•Shape the direction of our index: what it needs to cover, how fresh it needs to be, and what quality bar it has to meet.

•Build a point of view on where search infrastructure is going as agents, rather than people, become the main consumer, and turn that into a roadmap.

•Know how we compare to the alternatives customers evaluate, and drive the work that closes the gaps that matter.

•Work with customer success and directly with customers to understand where our results fall short in real workflows, and turn that into quality priorities.

•Partner with the data and vertical product owners on what our corpus needs to contain and how results should be shaped per industry.