Hiring.Camp

Product Manager

Uber Freight

·

2 days ago

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Location
Chicago, IL 60607, United States; San Francisco, CA 94158, United States
Workplace
Hybrid
Department
Product
Seniority
Manager
Source
Greenhouse

Description

Schedule: Full Time
Job Type: Hybrid
Salary Type: Salary
Req #: 3654
 
About the Role

Uber Freight connects shippers with carriers, revolutionizing how goods move across the globe. Logistics is an intricate physical and digital ecosystem where minutes and timing equate to millions of dollars. We are looking for entrepreneurial Product Managers who thrive in ambiguity, love tackling multi-sided marketplace challenges, and possess the drive to build platforms that deliver measurable customer and business value at scale.

As a Product Manager at Uber Freight, you will own a critical domain across our ecosystem—spanning AI & algorithmic optimization, marketplace liquidity and integrity, financial systems, or shipper/carrier experiences. You will partner with engineers, data scientists, designers, operations teams, and commercial stakeholders to translate complex logistics problems into scalable products and step-change business outcomes.

What You'll Do

  • Define Product Vision & Strategy: Own the end-to-end vision, strategy, and roadmap for a core product area. Translate complex logistics realities and market shifts into actionable hypotheses, clear milestones, and prioritized execution.
  • Customer Obsessed: Empathize deeply with our dual-sided ecosystem—carriers, drivers, enterprise shippers, and internal operators. Run through walls to eliminate user friction, obsessing over defect data and building solutions that earn long-term trust.
  • Be in the Arena: Tackle the hardest, most ambiguous problems in transportation and supply chain. Step up to make high-conviction decisions with incomplete data, take calculated risks, and embrace accountability for the outcomes.
  • Win as One: Build bridges across cross-functional partners in engineering, data science, operations, marketing, sales, and legal. Seek input broadly, align divergent goals, resolve dependencies, and ensure the entire team moves in unison to deliver shared wins.
  • Move with Urgency: Operate with a default-to-action mindset. Accelerate discovery, prototyping, and validation by integrating modern AI tooling into daily workflows, balancing rapid iteration with thoughtful architecture.
  • We Raise the Bar: Hold yourself and the team to the highest standard of execution. Uplevel team effectiveness, mentor and elevate peer PMs, and drive step-change improvements across key marketplace, financial, and efficiency metrics.
  • Communicate with Radical Clarity: Present roadmaps, tradeoffs, investment decisions, and analytical findings with precision and transparency to audiences ranging from frontline dispatchers to executive leaders.

Minimum Qualifications

  • 4+ years of Product Management experience building, scaling, and managing software products throughout the full product lifecycle.
  • Data-First Problem Solving: Proven ability to query, structure, and analyze large-scale datasets independently (proficient in SQL) to uncover insights, audit defects, and validate hypotheses.
  • Cross-Functional Execution: Demonstrated track record leading multi-disciplinary teams (engineering, UX/design, data science, and business/operations) through roadmap delivery and system launches.
  • Strategic & Analytical Rigor: Experience taking complex business, financial, or operational constraints and synthesizing them into a cohesive product strategy with quantified ROI.
  • Executive Presence: Strong written and verbal communication skills with comfort presenting strategies, justifying tradeoffs, and pushing back constructively on leadership.

Preferred Qualifications

  • Experience building within two-sided marketplaces, freight/logistics networks, enterprise SaaS, or B2B fintech/financial systems.
  • Experience collaborating with Data Science on machine learning, predictive modeling, reinforcement learning, or operational research platforms.
  • Hands-on application of modern AI technologies (e.g., LLMs, reasoning models, prompt/context engineering, or agent orchestration) to redesign workflows or build customer-facing intelligence.
  • Expertise in marketplace experimentation design (e.g., switchback testing, synthetic controls, cluster-based randomization) to measure network effects.
  • Comfort operating at the intersection of high-growth technology and boots-on-the-ground physical operations.

Benefits & Compensation for U.S. Employees

Employees working more than 30 hours in the US at Uber Freight are eligible for benefits like a company sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, life insurance and more.  US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role.

About Uber Freight 

Uber Freight helps companies move goods more reliably and efficiently. We bring together the technology, people, and transportation capacity they need, using real‑time data from millions of shipments to guide smarter decisions. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight. Learn more at www.uberfreight.com.

Candidate Privacy Notice

Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.

EEOC

Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 

Skills

SQLMachine LearningData SciencePrototyping

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