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Monthly
€117,194 - €130,215
Posted October 4, 2023 · 1,055 days agoLast seen August 23, 2026Est. expiry November 8, 2023

Product Manager

Senior Product Manager
Hybrid
Hybrid · Product
Full-time · Mid-Level
English
No degree required
How this salary compares
Salary Context: Product Manager

Hover or tap a row for full statistics (EUR / month on this chart).

Salary analysis

Compared with the selected benchmark ("Market Average: Mid-Level Level"), this listing's salary midpoint is about 1441% higher. The offer sits above the benchmark range (€3,100–€15,394). The listed pay band (€135,000–€150,000) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 7 comparable listings.

Monthly salary comparison for Product Manager
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
Market Average: Product Manager€3,972/per month€7,565/per month€14,707/per month
From job ad (Mid-Level)€135,000/per month€142,500/per month€150,000/per month
About the role

As a Senior Product Manager, you’ll lead the development of AI-powered software solutions that enable organizations to optimize long-term asset investments with predictive insights and automation. You’ll drive product strategy, manage cross-functional execution, and ensure our platform delivers measurable impact for clients in asset-intensive industries through machine learning, advanced analytics, and intelligent decision support.

Job Details

Responsibilities

  • Define and execute AI-driven product strategies for infrastructure planning and asset management.
  • Lead cross-functional teams through product lifecycle from discovery to delivery.
  • Translate customer needs into AI/ML features for Asset Investment Planning and EAM.
  • Collaborate with engineering, data science, and UX teams.
  • Analyze product performance using AI insights and market trends.
  • Engage with clients and stakeholders to validate product direction.

Requirements

  • 5+ years of experience in product management
  • Strong background in enterprise software and AI solutions
  • Proven ability to lead AI-centric product initiatives
  • Deep understanding of asset lifecycle modeling and AI/ML techniques
  • Experience with clients in utilities, transportation, municipalities, or infrastructure

Skills & Technologies

AI/ML techniquesPredictive analyticsAsset lifecycle modelingProduct lifecycle managementData platformsGISERPAIP systems

Education Level

No degree required
Seen 16 hours agoPartial Schema
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IFS · 349 open roles
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