Supply Chain Engineer

About Loop

Loop is on a mission to streamline the movement of money between shippers carriers and brokers to unlock margin and increase liquidity in the supply chain.

Today logistics payments are a big black box that unnecessarily drains thousands if not millions of dollars. Legacy services do not meet the markets needs. Transportation teams need a solution that unlocks insights from their complex datasets rather than drowning them in manual workflows.

Loop harnesses AI expertise with deep logistics industry knowledge to deliver automated audits streamlined resolutions expedited payments and most importantly actionable insights. All so that shippers and 3PLs can improve spend visibility eliminate unnecessary costs and optimize their transportation spend. Loops customers see a 4% reduction in costs and an 80% boost in back-office productivity.

Loop is a customer-obsessed company that sees the complexity in the supply chain as an opportunity rather than a challenge. Our foundational AI capitalizes on the messiness in the system to maximize outcomes for our customers.

Investors include Founders Fund 8VC Susa Ventures Flexport and 50 industry-leading angel investors. Our team brings subject matter expertise and experience from companies like Uber Google Flexport Meta Samsara Intuit and Rakuten as well as traditional logistics companies like CH Robinson.

About Role

As an Supply Chain Solutions Engineer at Loop you will play a pivotal role in creating our data science organization. Youll work cross-functionally to design and build the tools and reports that power our customer supply chains such as predictive analytics center of gravity network optimization modal optimization and much more. These products will enable us and our clients to accelerate data-driven decision-making throughout.

What you will do

• Own Core Supply Chain Tools: Design and build industry leading supply chain tools through client and internal engagement
• Own Core Reporting and Data Models: Collaborate with Analytics Engineers to derive and build scalable data models that power internal and client-facing analytics.
• Optimize Product: Continuously improve supply chain tools by leveraging AI and automation to enhance accuracy efficiency and client outcomes.

Qualifications:

• 5 years Deep Supply Chain & Transportation Expertise: end-to-end supply chain operations manufacturing all modes of transportation warehousing distribution returns and repair logistics.
• 2 years Advanced Analytics and Modeling Skills: network optimization modal shifting center of gravity cost-to-serve predictive analytics and efficiency modeling
• Strong proficiency in SQL and Python for data transformations and automation
• Proven ability translating complex data into actionable insights through dashboards and reporting at all levels within an organization for both internal and external stakeholders.
• Excellent business communication skills translating data insights into actionable business strategies

Nice to Have:

• Global Supply Chain experience
• Previous experience working in a data environment at a startup
• Experience working in a product-led or solutions engineering environment
• Interest or experience in working with cutting-edge open-source data tools
• Proven ability to convert ad-hoc data requests into scalable business solutions
• Familiarity with AI/ML model outputs and how to integrate them into analytics products

Who You Will Work With:

• EPD (Engineering Product Design and Analytic Engineers): Partner across EPD to build and maintain the data artifacts that power data-driven product decisions.
• Strategy and Operations: Enable product delivery teams (solutioning analyst) to deliver value to customers through actionable dashboards metrics and self-service reports
• Product: Partner with product teams to ensure supply chain tools are shaped by real customer needs and delivered with impact
• AI Platform: Expedite the development of new models and training of existing models by simplifying the necessary data cleansing and preparation