Engineering Manager, AI​/ML Logistics - Remote + Equity

Industry Insight

Transportation logistics is the foundational industry that powers everything we rely on daily, yet it remains a complex and fragmented domain ripe for technological revolution. The US transportation logistics industry alone is an $800 billion market. Alvys is not just participating in this change; we are driving it as the fastest-growing Transportation Management System (TMS) in history, uniquely positioned to truly transform this essential sector.

Your role will be at the forefront of automating and standardizing a sector that moves trillions of dollars' worth of goods annually, predominantly by truck, but still lacks modern tools and solutions. Your leadership will help bridge this gap, bringing innovative technologies to a traditionally underserved and mission-critical industry.

Alvys is the fastest-growing Transportation Management System (TMS) in history, uniquely positioned to dominate and truly revolutionize the $800 billion US transportation logistics industry. We're not just iterating on old tools; we're building a world-class, multi-tenant SaaS platform from the ground up to automate, standardize, and transform this essential sector. Join us to apply your technical vision to one of the economy's most mission-critical and underserved markets, making a massive, tangible impact on the movement of global goods.

This is where industry experience meets cutting-edge technology to create the undisputed market winner, and you will be a core part of that journey.

As an Engineering Manager focusing on ML and AI, you will lead a talent-dense, US-based team tasked with automating workflows across our SaaS platform, enabling tenants to book more freight with lower costs. Your leadership will be instrumental in integrating advanced AI and ML solutions into our product, driving significant advancements in a sector crucial for the movement of goods.

This role is ideal for a technical leader with a strong background in machine learning, artificial intelligence, and data science. You will be responsible for guiding the technical direction of our AI initiatives, mentoring a team of engineers, and collaborating closely with product managers and designers to deliver innovative solutions that optimize freight transportation logistics.

• Backend: .NET / C#, ASP.NET, Type Script
• Frontend: React (with some Angular), JavaScript, Type Script,
• Mobile: Flutter + Dartr
• Databases: Cosmos
  
  DB (No
  
  SQL), Postgres, Elasticsearch, Snowflake

• Architect, build, and scale ML models and AI-driven solutions using frameworks like Tensor Flow or PyTorch, ensuring they are optimized for real-world transportation logistics.
• Lead the full lifecycle of AI features, from initial data engineering and model training to deployment within a cloud-native Azure environment.
• Integrate predictive models and intelligent reporting systems into the core .NET/C# and Cosmos
  
  DB ecosystem, ensuring seamless communication between the backend and AI services.
• Operational Excellence (MLOps):
  Implement and maintain robust CI/CD pipelines and monitoring via Azure Monitor to ensure model performance, reliability, and fairness in production.
• Partner with Product Managers to translate complex logistics challenges into technical roadmaps and actionable AI innovations.

• A Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 8+ years of experience in software engineering, with at least 3 years focusing on machine learning, AI, and data science.
• Proven track record in developing and deploying ML models and AI solutions at scale.
• Proficiency in one or more programming languages such as Python, C#, or Java, with strong knowledge of ML frameworks like Tensor Flow, PyTorch, or scikit-learn.
• Experience with cloud platforms (Azure preferred) and deploying AI/ML solutions in a cloud-native environment.

• You Own the Outcome: You thrive in an environment of high autonomy. You don’t just hand off code; you take pride in seeing your solutions through from inception to long-term maintenance.
• Innovation through…