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HARMAN InternationalPosted 1 month ago

Principal Engineer, Product Target Selling Price (m/f/d)

On-siteGarching, Bavaria, Germany

Full TimeSenior LevelMasters DegreeEnterprise

Job Summary

Architect competitive target selling price systems for HARMAN electronic and acoustics products by analyzing competitor offerings, customer benchmarks, and market trends. Define and maintain target market prices as the architectural leader, establishing a systematic price-finding methodology and governing structured databases for market references. Lead scenario analysis for best, worst, and stretch prices, then cascade target prices to internal cost initiatives globally while driving modularization and standardization strategies. Manage strategic partnerships with external vendors and oversee complex cross-functional pricing programs to enable profitable product offerings.

Required Qualifications

  • Bachelor's or master's degree in business administration, Industrial Engineering, sales or related field
  • 7+ years of experience in sales
  • excellent, Market price strategist, cost engineering, product costing, or similar
  • Prior proven experience on Automotive Market pricing, cost management, sales economy
  • Deep technical knowledge on in passenger room electronic systems
  • Strong exposure to Automotive RFQ, cost structures and product lifecycle
  • Analytical, stakeholder management, and communication skills
  • Ensure sustainable knowledge Transfer globally and succession
  • Proactive Consistent user experience and foster high adoption
  • Beyond the line analytical skills in competitive benchmarking and price modeling
  • advanced Excel proficiency
  • Fluent in English language
  • Willingness to travel, if necessary

Desired Qualifications

  • Bonus Points if You Have Tier1 electronic system experience
  • Tear down benchmark background
  • Market intelligence & historical win/loss analytics
  • Knowledge on 3rd party tools
  • Familiarity with CRM/ERP systems is an advantage
  • Ability to coordinate across multiple departments and drive alignment
  • AI machine learning applicable Method

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