Engineering Manager

Alvys

31d

About The Position

Join Alvys, an early-stage company ambitiously transforming the nearly $1T US freight industry. 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.
Industry Insight
Transportation logistics is a complex and fragmented domain ripe for technological disruption. You will be at the forefront of using AI and ML to automate and standardize a sector that moves trillions of dollars' worth of goods annually, predominantly by truck, yet often lacks modern, efficient tools.
About Alvys
Alvys is on a mission to revolutionize transportation logistics. Combining hands-on industry experience with a world-class technical vision, we're building a multi-tenant SaaS platform that's becoming an essential tool for transportation companies.
Our Principles
AI-Driven Innovation: We are committed to harnessing the power of AI and ML to solve real-world problems in transportation logistics, bringing both practical and theoretical approaches to our solutions.
End-to-End Ownership: Our team operates with a high degree of autonomy and ownership, ensuring that solutions are fully integrated and maintained from inception to production.
Blameless Culture: We encourage learning from mistakes in a supportive, finger-pointing-free environment.
Core Values: Trust, transparency, and fairness are fundamental to our operations and the solutions we develop.
Tech Stack
Our cloud-native environment utilizes Azure, .NET/C#, CosmosDB, and Cognitive Search. We leverage a variety of AI and ML frameworks and tools to build predictive models, optimize operations, and develop intelligent reporting systems. Our frontend technologies include JavaScript, TypeScript, Angular, Dart, and Flutter, with monitoring and alerting managed via Azure Monitor & Application Insights.

Requirements

• 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 TensorFlow, PyTorch, or scikit-learn.
• Experience with cloud platforms (Azure preferred) and deploying AI/ML solutions in a cloud-native environment.

Nice To Haves

• Experience in leading and managing engineering teams, with a focus on AI and ML project execution.
• Strong understanding of data engineering and the ability to work with large-scale data processing and analysis.
• Familiarity with Azure ML services, MLOps, and CI/CD pipelines for ML model deployment.
• Experience in the logistics or transportation industry, providing insight into industry-specific challenges and opportunities for AI applications.
• Excellent communication skills, with the ability to work cross-functionally with product managers, data scientists, and engineers to deliver impactful AI solutions.

Responsibilities

• Lead a talent-dense, US-based team tasked with automating workflows across our SaaS platform
• Guide the technical direction of our AI initiatives
• Mentor a team of engineers
• Collaborate closely with product managers and designers to deliver innovative solutions that optimize freight transportation logistics

What This Job Offers

• Job Type: Full-time
• Career Level: Manager