Senior Product Manager – Network Discovery

New
I
IP FabricNetwork Automation
Remote EU or Prague, CzechiaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
8+ years
Required Skills
Data AnalysisProduct ManagementStakeholder management

Requirements

  • 8+ years of Product Management experience, preferably in B2B, enterprise software, infrastructure, security, or networking.
  • Strong product judgement with the ability to distinguish between urgent and important tasks.
  • High agency and ability to take ownership without waiting for consensus.
  • Hands-on leadership in writing problem statements and analyzing customer input.
  • Practical, active use of AI tools to accelerate discovery, analysis, and decision support.
  • Strong prioritization skills within complex stakeholder environments.
  • Ability to operate at both strategic and tactical levels.
  • Customer fluency in validating problems and identifying patterns.
  • Strong collaborative skills for working effectively with Engineering teams.
  • Comfort with ambiguity and decision-making without perfect data.
  • Clear communication skills to build trust across different internal functions.
  • Technical curiosity and willingness to learn complex networking concepts.

Responsibilities

  • Lead the Network Discovery product area, including discovery capabilities, vendor and technology support, data quality, and scalability.
  • Make high-quality product decisions by balancing customer needs, technical constraints, and business impact.
  • Work hands-on with Engineering, UX, and Field teams to validate priorities and define product scope.
  • Own roadmap decisions, including build, defer, and decline choices.
  • Drive measurable outcomes by improving the reliability, coverage, and speed of discovery capabilities.
  • Translate technical complexity into clear priorities and actionable delivery plans.
  • Use customer evidence and product data to make prioritization decisions.
  • Partner with Engineering to shape solutions and manage trade-offs.
  • Use AI practically to improve discovery, analysis, documentation, and product practices.
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