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

FourKites·Chennai·Onsite

APMLogisticsSaaS

Experience

2–4 years

Employment

Full Time

Work mode

Onsite

Level

APM

Location

Chennai

Posted

2 days ago

About the role

At FourKites we have the opportunity to 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

What you'll do

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

What you'll bring

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.
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.