Staff Engineer

Job not on LinkedIn

🕒 April 1

🗽 New York – Remote

🗽 New York – Remote

💵 $180k - $220k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 41%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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PortPro

WebsiteLinkedInAll Job Openings

51 - 200 employees

📦 Logistics

🚗 Transport

☁️ SaaS

💰 $12M Series A on 2023-01

Logistics • Transport • SaaS

PortPro is a privately-owned technology company that specializes in providing advanced operational software solutions tailored for drayage carriers and freight brokerages. Their platform is designed to enhance drayage operations by improving communication, operational efficiency, and customer satisfaction. Utilizing a modern Transportation Management System (TMS), PortPro focuses on helping companies streamline their processes, improve cash flow, boost operational performance, and grow their business. The company's award-winning software supports both asset-based and non-asset based divisions, enabling seamless integration and comprehensive management of drayage trucking and brokerage operations. PortPro is recognized for their customer support and innovative technology offerings that empower clients to achieve greater transparency and efficiency in their operations.

📋 Description

• Work with Production, Engineering, Data Science to plan, design and deliver customer-facing experiences • Be hands-on in shaping product, user experience, and team processes to iterate quickly • Dive deep into the customer problem • Develop expertise in building software that directly influences real-world human behavior

🎯 Requirements

• Lead the architecture design and execution to build machine learning-based solutions in the cloud and on a mobile app • Work full stack across mobile app, cloud services to deliver ML-backed features for customers • Identify, invent and follow best practices for deploying ML to the cloud and app • Translate ambiguous product definition into detailed requirements, and end-to-end technical strategy docs • Define and develop infrastructure to build, release and test updates to underlying ML models in production systems • Lead SCRUM/Agile ceremonies to create and execute consistent and timely delivery • Identify and represent technical risks to the customer experience, or its delivery to senior leaders and stakeholders.