Product Manager (Visibility Team - OTR Portfolio) at FourKites
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At FourKites, we tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile, and sustainable.
Industry Context: AI-driven supply chain innovations reduce logistics costs by 15%+, inventory by 35%+, and improve service efficiency by 65%+. Companies prioritize AI-enabled automation as the key enabler for customer experience, sustainability, and resilience.
Join a team of curious problem solvers that celebrates differences, leads with empathy, and values inclusivity.
FourKites is looking for a sharp, curious, and execution-focused Product Manager to join the Visibility team and own our Over-the-Road (OTR) portfolio: Truckload, LTL, Parcel, and Last Mile. This is FourKites’ flagship product line. Some of the world’s largest shippers use it to track billions of dollars of freight every day.
This is not a PM support role. You will own real product outcomes from day one. You’ll work hands-on with data, build your own prototypes, talk directly with enterprise customers, and partner with engineering and design to ship features that improve adoption, retention, and tracking quality.
The role sits where supply chain operations meet modern software product development, and you’ll need both. You need deep empathy for how freight actually moves across modes, and the analytical rigor to turn that into product bets worth making.
What You’ll Be Doing
Product Ownership & Outcomes
- Own product outcomes for one or more OTR modes (Truckload, LTL, Parcel, or Last Mile), including tracking quality, ETA accuracy, and carrier coverage.
- Track and analyze adoption, engagement, and retention KPIs for your area.
- Find friction points and adoption gaps using usage data, customer interviews, and feedback from Customer Success and Sales.
- Build and prioritize a backlog that measurably improves customer stickiness and bring well-reasoned prioritization recommendations to roadmap planning.
Data & AI-Assisted Product Development
- Write your own SQL to explore feature usage, tracking performance, and customer behavior, without waiting on an analyst.
- Use AI coding tools (Claude, Cursor, and similar) to build working prototypes, internal tools, and quick analyses that make a requirement concrete before engineering picks it up.
- Work hands-on in product analytics platforms like Pendo, and maintain dashboards that track adoption trends across customer segments.
- Turn quantitative findings into clear product hypotheses and actionable backlog items.
- Partner with Data Science and Engineering on instrumentation and event tracking.
Customer Engagement
- Run discovery sessions and join onboarding calls, QBRs, and support escalations to understand shipper and carrier workflows firsthand.
- Work with Customer Success Managers to surface systemic product gaps and recurring pain points.
- Represent the voice of the customer in internal planning and sprint reviews.
Cross-Functional Execution
- Work with Engineering and Design through scoping, development, and post-launch monitoring, partnering directly 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.
Who You Are
We’re hiring at two levels:
- Associate Product Manager: 2–4 years in product management or a related role. Strong BA, analyst, solutions, or implementation backgrounds in logistics tech are welcome.
- Product Manager: 5+ years, including end-to-end ownership of a product area and a track record of shipping with measurable business impact.
For both levels:
- Practical experience in supply chain or logistics. You understand shipper pain points, carrier dynamics, and how freight moves day to day.
- Comfort working hands-on with data: strong SQL, familiarity with analytics tools, and the ability to build a data-driven story on your own.
- Proven use of AI tools to speed up PM work beyond drafting documents, such as building prototypes, scripts, and internal tools yourself. Be ready to walk us through something you’ve built this way.
- Strong customer engagement skills. You’ve run discovery calls, written user stories, and can turn qualitative feedback into crisp requirements.
- Experience working with distributed engineering teams across time zones.
- Ability to work with significant overlap with US Central Time.
Preferred Qualifications:
- Experience with two or more of truckload, LTL, parcel, and last mile.
- Prior work on SaaS 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.
- Bachelor’s degree in engineering, operations, supply chain, economics, or another quantitative field.
What Success Looks Like in Year 1:
- You independently own a product area within OTR visibility, with clear adoption and engagement KPIs.
- You’ve shipped customer-facing improvements end-to-end, from discovery through post-launch analysis, with significant business impact.
- You use data to find insights before anyone has to ask for them.
- You’ve built prototypes or internal tools that changed how a requirement was scoped or how your team works.
- Customer Success and Engineering see you as a reliable, high-signal partner.
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View Company ProfileFourKites is a leading global supply chain visibility and orchestration platform that redefines how organizations manage their logistics and transportation networks. Operating the world's first Intelligent Control Tower, the company leverages a massive real-time network of over 1.1 million carriers and suppliers across more than 200 countries and territories. FourKites uses advanced, purpose-built Artificial Intelligence—including Agentic AI, Visual AI, Analytical, and Conversational AI—to transform complex, manual supply chain operations into automated, data-driven actions.
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