Senior Product Manager, Search Infrastructure

Slashhash; Amsterdam; Hybrid; EUR 120,000 - 170,000; Full time

Job summary

Nebius is seeking a Senior Product Manager for Search Infrastructure, based in Amsterdam with a hybrid work model. The role requires 5+ years of product management experience and a technical background in high-scale search or ranking systems. This hands-on IC role reports to the Director of Product.

You will own the quality bar, tradeoffs, and roadmap for Tavily's search index, shaping the future of search infrastructure as agents become the main consumer.

Qualifications

• Must have 5+ years in product management with a technical background.
• Experience with high-scale search or ranking systems beneficial.
• Hands-on senior IC role reporting to Director of Product.

Responsibilities

• Set the quality bar and release criteria for search across use cases.
• Own depth, latency, and cost tradeoffs across search products; make them explicit.
• Shape the index direction, freshness, and quality bar to meet requirements.
• Develop a roadmap for search infrastructure as agents become the main consumer.
• Benchmark against alternatives and close gaps that matter for customers.
• Collaborate with customer success and directly with customers to identify quality priorities.
• Partner with data and vertical product owners on corpus needs and results shaping.

Skills

Product Management

Search

Ranking Systems

Machine Learning

LLMs

AI Agents

Information Retrieval

Experiment Design

Data Analysis

Evaluation

Roadmapping

Stakeholder Management

Technical Background

Engineering

SQL

Job description

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.

Technical (Must-have)

• Product Management
• Search
• Ranking Systems
• Machine Learning
• LLMs
• AI Agents
• Information Retrieval
• Experiment Design
• Data Analysis
• Evaluation
• Roadmapping
• Stakeholder Management
• Technical Background
• Engineering
• SQL

Soft Skills

• Product Judgment
• Comfort with Ambiguity
• Influence
• Alignment
• Communication
• Critical Thinking
• Ownership
• Collaboration

Technical (Nice-to-have)

• NLP
• Applied Machine Learning
• Index Tiering
• Sharding
• Freshness Pipelines
• Cost-per-query Optimization
• Hybrid Retrieval
• Semantic Search
• Lexical Search
• Re-ranking
• Human Evaluation Programs
• API-first Platforms
• Developer-platform Businesses
• High-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.