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职位Flexport

Staff Software Engineer, Autonomous Freight Systems

Flexport

Staff Software Engineer, Autonomous Freight Systems

Flexport

San Francisco, California, United States

·

On-site

·

Full-time

·

1d ago

About Flexport:

At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year.

The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us.

The opportunity

The Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco. This team will own Flexport’s client-facing rates platform and the self-serve freight booking experience—two of the highest-leverage surfaces in our Client App that dictate how clients see pricing and book freight without manual intervention.

As a Staff Engineer, you will be the technical anchor for our next-generation AI-powered rates platform. We aren't just building a UI; we are building AI agents that handle real logistics work: parsing complex rate sheets, managing pricing intelligence across ocean, air, and trucking, and making "Self-Serve" a reality for thousands of shippers. You will build the intelligence layer that allows clients to commit freight on technology alone, with no account executive and no operations touch.

This is a ground-floor opportunity to shape technical direction, set up a new codebase, and build the platform that moves Flexport from an assisted-sales model to a tech-run one for the long tail of our client base. You will partner with Pricing, Sales, Ops, and Design on hard domain problems and ship to the most-used client surfaces at the company.

You will

  • Design and ship end-to-end AI agents that handle pricing intelligence and booking compliance without human oversight.
  • Create the tooling and secure AI infrastructure required to expose internal logistics data to LLMs safely.
  • Navigate the rapidly evolving landscape of agent patterns, RAG, and prompt engineering to solve problems that don’t have "Stack Overflow" answers yet.
  • Build and launch products rapidly and incrementally: we ship to production dozens of times per day.
  • Mentor and uplevel engineers across the team, fostering a culture of technical excellence.
  • Partner with the Engineering Manager to define the team’s technical roadmap and hiring bar.

You should have

  • LLM Fluency: Experience with agent patterns, RAG, and prompt engineering. You know what works in production versus what only looks good in a demo.
  • Agentic Orchestration: Experience with workflow orchestration (e.g., Temporal) and building reliable systems around non-deterministic AI.
  • Entrepreneurial Drive: You don't wait for a spec; you find the highest-leverage automation problems and design the AI-driven solution.
  • Product Instincts: You can identify what is worth building, not just execute on a spec. You have a proven track record of building data-heavy applications where high-quality user interaction is the priority.
  • Architecture Leadership: Demonstrated experience leading technical initiatives across multiple teams or systems, specifically in building unified interfaces that aggregate data from various backend systems.
  • Technical Rigor: A love of simple, well-tested code that is easy to extend and hard to break, combined with experience building large-scale distributed systems.
  • Technical Communication: The ability to convey technical ideas in common terms to business partners, product managers, and engineers alike.

It's a plus if you have

  • Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
  • Experience in logistics, supply chain, or freight technology.
  • Experience building internal tools or operator-facing applications.
  • A bias for action: When you see a problem, you solve it.

The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position in the posting's respective region. Our salary ranges are determined by role, level, and location. Within the range displayed, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and / or training.

The US base salary range for this position (this does not include bonus, equity and benefits):

$196,875—$246,094 USD

Commitment to Equal Opportunity

At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.

Global Data Privacy Notice for Job Candidates and Applicants

Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information.

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关于Flexport

Flexport

Flexport

Series E

Flexport Inc. is an American multinational corporation that focuses on supply chain management and logistics, including order management, delivery, trade financing, insurance, freight forwarding, and customs brokerage.

1,001-5,000

员工数

San Francisco

总部位置

$8B

企业估值

评价

2.0

9条评价

工作生活平衡

2.5

薪酬

2.0

企业文化

2.8

职业发展

3.0

管理层

1.5

25%

推荐给朋友

优点

Nice and helpful coworkers

Good learning environment

Casual work environment

缺点

Poor management and leadership

Unorganized workplace

Low pay and poor benefits

薪资范围

41个数据点

Mid/L4

Senior/L5

Mid/L4 · Data Analyst

1份报告

$153,400

年薪总额

基本工资

$118,000

股票

-

奖金

-

$153,400

$153,400

面试经验

2次面试

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Offer

常见问题

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Past Experience