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FourKites

Real-time supply chain visibility and analytics

Associate Product Manager / Product Manager - Over-the-Road Visibility

Product ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Associate Product Manager candidates need 2–4 years in product management or a related role; strong backgrounds in business analysis, analytics, solutions, or implementation in logistics technology are welcome.
  • Product Manager candidates need 5+ years, including end-to-end ownership of a product area and a track record of shipping with measurable business impact.
  • Practical experience in supply chain or logistics, with understanding of shipper pain points, carrier dynamics, and how freight moves day to day.
  • Strong SQL and comfort working hands-on with data, familiarity with analytics tools, and ability to build a data-driven story independently.
  • Proven use of AI tools beyond drafting documents, such as building prototypes, scripts, or internal tools; candidates should be prepared to describe something they have built this way.
  • Experience running customer discovery calls, writing user stories, and turning qualitative feedback into clear requirements.
  • Experience working with distributed engineering teams across time zones.
  • Ability to work with significant overlap with US Central Time.

Responsibilities

  • Own product outcomes for one or more Over-the-Road modes (Truckload, LTL, Parcel, or Last Mile), including tracking quality, ETA accuracy, and carrier coverage.
  • Track and analyze adoption, engagement, and retention key performance indicators for the product area.
  • Identify friction points and adoption gaps using usage data, customer interviews, and feedback from Customer Success and Sales.
  • Build and prioritize a backlog to improve customer stickiness and provide prioritization recommendations for roadmap planning.
  • Write SQL to explore feature usage, tracking performance, and customer behavior.
  • Use AI coding tools such as Claude and Cursor to build working prototypes, internal tools, and quick analyses before engineering begins implementation.
  • Work with product analytics platforms such as Pendo and maintain dashboards tracking adoption trends across customer segments.
  • Turn quantitative findings into product hypotheses and actionable backlog items.
  • Partner with Data Science and Engineering on instrumentation and event tracking.
  • Run discovery sessions and participate in onboarding calls, quarterly business reviews, and support escalations to understand shipper and carrier workflows.
  • Work with Customer Success Managers to identify systemic product gaps and recurring pain points.
  • Represent customer needs in internal planning and sprint reviews.
  • Work with Engineering and Design through scoping, development, and post-launch monitoring, partnering with squads across time zones.
  • Support Product Marketing with onboarding materials, release notes, and adoption playbooks.
  • Contribute to presales conversations and market requirements gathering with Solutions teams.

Desired Qualifications

  • Experience with at least two of truckload, less-than-truckload (LTL), parcel, and last mile.
  • Prior work on software-as-a-service onboarding flows, feature adoption programs, or customer health scoring.
  • Experience with Pendo, Amplitude, or similar product analytics tools.
  • Familiarity with agile development and working directly with engineering squads.
  • A bachelor's degree in engineering, operations, supply chain, economics, or another quantitative field.

About the Company

FourKites

Real-time supply chain visibility and analytics

FourKites provides a data-driven platform for real-time supply chain visibility and predictive analytics for large-scale networks. It collects data from millions of global shipments daily and uses patented AI to turn that data into actionable insights, connecting every point from first to final mile so teams share a single source of truth; Fin AI offers a natural language interface to identify optimization opportunities. The company differentiates itself by combining the largest real-time supply chain network, enterprise-scale data, purpose-built applications, and patented AI to address risk, responsiveness, and optimization. Its goal is to help brands mitigate risks, improve responsiveness, and optimize their supply chains through end-to-end visibility and actionable intelligence.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$211.6M
Headquarters
Chicago, IL
Founded
2014

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