Senior Engineering Manager

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November 14

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FourKites, Inc.

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Transport • Enterprise • SaaS

FourKites, Inc. is a leading global supply chain visibility platform, leveraging real-time data and advanced artificial intelligence to revolutionize how organizations manage their supply chains. With a powerful suite of applications providing insights on transportation, inventory, yard management, and more, FourKites offers comprehensive solutions to optimize efficiency, reduce costs, and improve customer service for over 1,500 major brands. Trusted by Fortune 500 companies, FourKites integrates seamlessly with enterprise systems, delivering unparalleled visibility across all modes of transport and industries such as food & beverage, pharmaceuticals, and manufacturing.

501 - 1000 employees

Founded 2014

🚗 Transport

🏢 Enterprise

☁️ SaaS

📋 Description

• Define and execute the technical strategy for AI/ML initiatives across multiple product areas • Oversee the design and architecture of scalable ML systems, from data pipelines to model deployment • Drive decisions on technology stack, frameworks, and infrastructure for AI/ML workloads • Ensure engineering excellence through code reviews, design reviews, and technical mentorship • Stay current with AI/ML research and industry trends to inform strategic decisions • Lead, mentor, and grow a team of 15+ AI engineers, data scientists, and software engineers • Build high-performing teams through hiring, performance management, and career development • Foster a culture of innovation, collaboration, and continuous learning • Conduct regular 1:1s, performance reviews, and career development conversations • Champion diversity, equity, and inclusion initiatives within the engineering organization • Partner with Product Management to define AI product roadmap and priorities • Translate business objectives into technical initiatives and measurable outcomes • Manage multiple concurrent AI/ML projects from conception to production deployment • Establish and track KPIs for team performance, model quality, and system reliability • Balance innovation with pragmatic delivery to meet business deadlines • Work closely with Data Science, Product, Design, and other engineering teams • Communicate technical concepts and trade-offs to non-technical stakeholders • Represent engineering in executive discussions and strategic planning sessions • Build relationships with external partners, vendors, and research institutions • Drive alignment across teams on AI ethics, responsible AI practices, and governance • Establish best practices for ML model development, testing, and deployment • Implement MLOps practices for continuous integration and deployment of ML models • Ensure compliance with data privacy regulations and AI governance policies • Drive improvements in model monitoring, A/B testing, and experimentation frameworks • Manage engineering budget and resource allocation

🎯 Requirements

• 13+ years of software engineering experience, with 5+ years focused on ML/AI systems • 5+ years of engineering management experience, including managing managers • Proven track record of shipping ML products at scale in production environments • Experience with full ML lifecycle: data collection, feature engineering, model training, deployment, and monitoring • Deep understanding of machine learning algorithms, deep learning, and statistical methods • Proficiency in ML frameworks (TensorFlow, PyTorch, JAX) and programming languages (Python, Scala, Java) • Experience with distributed computing frameworks (Spark, Ray) and cloud platforms (AWS, GCP, Azure) • Knowledge of MLOps tools and practices (Kubeflow, MLflow, Airflow, Docker, Kubernetes) • Understanding of data engineering, ETL pipelines, and big data technologies

🏖️ Benefits

• Opportunity to work on cutting-edge AI technology with real-world impact • Competitive compensation package including equity • Access to state-of-the-art computing resources and research tools • Budget for conferences, training, and professional development • Collaborative environment with talented engineers and researchers • Flexible work arrangements and comprehensive benefits