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Product Manager

Job in Kirkland, King County, Washington, 98034, USA
Listing for: DAT
Full Time position
Listed on 2026-09-17
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, Data Science Manager
  • Business
    Data Analyst, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
  • DAT is looking for a Product Manager to lead product development for iQ, our advanced freight analytics and intelligence platform in Denver, CO
  • In this role, you'll shape how shippers, brokers, and carriers understand market dynamics, price freight strategically, and uncover opportunities to optimize their operations
  • If you're customer-focused, data-driven, and passionate about transforming freight decision-making through innovative analytics solutions, this is your opportunity to make a significant impact on the transportation industry
  • Customer Advocate:
    Act as the voice of shippers, brokers, and carriers to inform product decisions for iQ's analytics and pricing capabilities
  • Product Discovery:
    Conduct customer research, market analysis, and competitive assessments to identify unmet needs and validate product opportunities in freight analytics and pricing
  • Product Ownership:
    Manage iQ product features from ideation through launch and ongoing optimization, with focus on market intelligence, pricing tools, and business performance analytics
  • Cross-Functional Collaboration:

    Partner with Product, Engineering, Business Development, Marketing, Sales, and Operations teams to identify opportunities that help customers better understand freight markets and optimize their pricing strategies
  • Product Launches:
    Lead rollouts of new analytics features, pricing tools, and strategic initiatives that enhance customer decision-making capabilities
  • Product Health Monitoring:
    Continuously assess product performance, user engagement with analytics features, and identify opportunities to improve customer insights and outcomes
Benefits
  • Remote/hybrid flexibility
  • Wellness allowance
  • Parental leave
  • Career development paths
  • Stock purchase program
  • Immediate 401(k) matching
  • Mental health support
  • FSA/HSA options
  • Life insurance
  • 20 days PTO from day one, plus 10 paid holidays annually
  • Leadership training, mentorship programs, education reimbursement & industry certifications
  • Performance bonuses & annual merit increases
  • Premium health coverage, plus dental & vision
  • Communication

    Skills:

    Ability to explain complex data concepts simply and build consensus across stakeholders at all levels
  • Product Expertise:
    Proven experience building high-quality data-driven products with design and engineering teams
  • Experience:

    2+ years of product management experience, preferably with analytics, business intelligence, or pricing products
  • Data-Driven:
    Passionate about diving into data to understand customer behavior, market trends, and edge cases to optimize product outcomes
  • Organizational Excellence:
    Strong prioritization, problem-solving, and project management skills to manage ambiguity and drive results
  • Proactive Mindset: A self-starter who takes ownership and turns ideas into actionable plans that deliver customer value
  • Education:

    Bachelor's degree in Computer Science, Engineering, Business, Economics, Data Science, or a related field
  • Industry

    Experience:

    Direct experience in transportation, logistics, or supply chain technology. Understanding of supply/demand dynamics, market benchmarking, or competitive intelligence products
  • AI/ML

    Experience:

    Experience launching AI-powered analytics or predictive pricing features
  • Technical Knowledge:
    Understanding of technical systems, data architecture, and engineering trade-offs to effectively prioritize analytics and pricing features
  • Technical Proficiency: SQL experience with data visualization tools (Tableau, Power BI, Looker, etc.)
  • B2B SaaS:
    Background in B2B SaaS product development, particularly for enterprise customers
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