Staff Product Manager

DAT•Seattle, WA

3d•Hybrid

About The Position

DAT is an award-winning employer of choice and a next-generation SaaS technology company that has been at the leading edge of innovation in transportation supply chain logistics for 45 years. We continue to transform the industry year over year, by deploying a suite of software solutions to millions of customers every day - customers who depend on DAT for the most relevant data and most accurate insights to help them make smarter business decisions and run their companies more profitably. We operate the largest marketplace of its kind in North America, with 400 million freights posted in 2022, and a database of $150 billion of annual global shipment market transaction data. Our headquarters are in Denver, CO, and Beaverton, OR, with additional offices in Seattle, WA; Springfield, MO; and Bangalore, India. For additional information, see www.DAT.com/company Job Application Deadline: 03/04/2026 The Opportunity Convoy operates one of the largest freight marketplaces in the world, in an $800B+ industry that is rapidly transitioning from manual, phone-based workflows to algorithmically driven marketplaces. The platform must continuously clear large volumes of freight demand across a highly fragmented and diverse carrier base, under tight operational and timing constraints. Carrier Tech builds the systems where pricing/ auction models, bid decisions and negotiations intersect with real human behavior and imperfect information. This role owns the carrier conversion loop—from marketplace impressions through converting view to bids, and bids to matches—and is responsible for improving marketplace clearing efficiency, including match rates, time-to-match, price variance, and perceived price fairness. The work focuses on shaping how data, pricing models, and negotiation mechanisms interact with human decision-making at scale. It operates in a high-noise environment where outcomes are only partially observable and causality must be inferred over time, requiring rigorous measurement, careful sequencing of experiments, and an understanding of system-wide effects rather than isolated metrics

Requirements

7–10+ years of product experience owning complex, data-intensive systems (e.g., marketplaces, pricing, optimization, platforms, or ops-heavy products), with clear accountability for outcomes
Strong data intuition and fluency
with experience partnering deeply with data science teams to reason about incentives, uncertainty, experimentation, and causal impact—not just reporting metrics
Proven ability to work from first principles in unfamiliar domains, building accurate mental models without relying on prior industry expertise
Excellent product and UX judgment
with demonstrated taste for designing clear, trustworthy, and efficient experiences in high-stakes decision flows (e.g., pricing, negotiation, conversion)
Comfort operating in ambiguity
including prioritizing and sequencing work in noisy environments where outcomes are partially observable and tradeoffs are real

Nice To Haves

Background in UX design, data science, applied economics, ML, or optimization
Experience with two-sided marketplaces or auction-based systems
Logistics, freight, or trucking experience

Responsibilities

Own the carrier conversion funnel
Define and improve the end-to-end journey from load-detail page views to confirmed matches, including auctions, bidding, negotiation, and manual booking flows.
Design new matching and booking mechanisms
Build and iterate on new auction and booking experiences that improve marketplace clearing while also increasing carrier utilization through better scheduling, routing awareness, and load sequencing. This includes exploring mechanisms that help carriers stitch together work more efficiently, not just win individual loads.
Partner closely with pricing and auctions
Work with data science to shape how pricing models, guardrails, and auction mechanics surface to carriers, translating complex systems into clear, usable product experiences.
Balance automation and manual workflows
Improve automated matching where it works well, and design efficient, scalable manual and negotiated paths where automation breaks down.
Drive conversion through experience design
Improve carrier conversion rates by refining how pricing, negotiation, and match outcomes are presented across auctions and manual booking flows. Focus on transparency, perceived fairness, and decision confidence while reducing cognitive and emotional friction. Tie changes to clear funnel metrics (e.g., views → bids → matches) and evaluate impact rigorously.
Define success metrics and prioritization frameworks
Establish clear input and output metrics (e.g., impressions, bid rates, match rates, latency, carrier effort) and use them to drive sequencing and tradeoffs—not just post-hoc reporting.
Operate effectively with incomplete data
Make progress when signals are imperfect or anecdotal by combining data, operational insight, and structured judgment.
Collaborate across the marketplace
Partner with Carrier Ops, Broker Tech, Carrier Trust & Fraud to ensure solutions scale and don’t create downstream friction.
Own delivery end to end
Write crisp problem statements, define MVPs, manage scope, and see work through launch, iteration, and impact assessment.