Engineering Manager, Autonomous Freight Systems

Flexport•San Francisco, CA

7h•Onsite

About The Position

We are building a new engineering team in San Francisco to own our client facing rates platform and the self-serve freight booking experience. These are two of the highest leverage surfaces in our Client App: how clients see pricing and how they book without manual intervention. Rates sit at the center of every freight decision. You will lead the Autonomous Freight Systems team, owning the systems that power rate visibility, quoting, and pricing intelligence across ocean, air, and trucking. You will extend that work into a fully self-serve booking flow for smaller shippers: clients who commit freight on technology alone, with no account executive and no operations touch. This is a ground-floor opportunity to build the platform that moves Flexport from an assisted-sales model to a tech-run one. You will lead an AI-first engineering team tasked with automating the complex logic of quoting and booking. This means not just building software, but building autonomous systems and AI-powered workflows that eliminate the need for manual intervention in the shipping lifecycle.

Requirements

AI/Automation Vision: Demonstrated ability to lead teams building intelligent systems, ideally involving LLMs, automated decision engines, or AI agents in production.
Strategic Roadmap: Experience moving a business from human-led processes to autonomous, software-driven ones.
Bachelor’s degree in Computer Science or equivalent practical experience.
5+ years of engineering experience with a strong technical background.
2+ years of experience managing engineering teams directly.
Product Engineering Expertise: A proven track record of building complex, data-heavy applications where high-quality user interaction is the priority.
Platform Thinking: Experience building unified interfaces that aggregate data from various backend systems into a cohesive user experience.
Growth Leadership: Experience building and scaling teams from an early stage, including a demonstrated ability to hire, develop, and retain high-performing engineers.
Clear Communication: The ability to translate between technical constraints and business goals for stakeholders.

Nice To Haves

Experience in logistics, supply chain, or freight technology.
Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
Experience managing distributed or hybrid teams.

Responsibilities

Recruit, build, and lead a new engineering team with a heavy focus on AI-driven automation and intelligent system design.
Partner with leadership to define how LLMs and agentic workflows can be applied to logistics pricing and customer interactions.
Participate in critical technical discussions regarding AI model integration, data repair agents, and automated quality safeguards.
Represent your team with leaders across different parts of the organization.
Participate in critical technical design and product discussions.
Invest in the development and coaching required for each team member’s success.
Manage, measure, and communicate the team’s progress toward goals.
Partner closely with cross-functional stakeholders to define the team’s roadmap.