Director/Senior Manager

What You Will Do

• Lead High-Performance Teams: Manage and grow a team of 6-10 engineers across full-stack, backend, and data engineering disciplines, fostering career development and technical excellence. 
• Drive Product Delivery: Partner closely with product managers and architects to translate business requirements into scalable technical solutions, ensuring on-time delivery of critical platform features. 
• Scale Engineering Practices: Establish and evolve engineering processes, code review standards, testing frameworks, and CI/CD pipelines that support rapid, reliable deployment cycles. 
• Champion Technical Excellence: Collaborate with architects to implement best practices for cloud-native, AI-enabled systems while maintaining hands-on involvement in critical technical decisions. 
• Build for AI at Scale: Guide your team in developing systems that integrate machine learning models, support massive data ingestion, and enable real-time intelligence across global supply chains. 
• Ensure System Reliability: Drive initiatives focused on observability, performance optimization, and enterprise-grade reliability as we scale across international markets. 
• Recruit and Retain Talent: Lead hiring efforts to build a diverse, world-class engineering team while creating an environment where engineers thrive and grow. 
• Foster Cross-Team Collaboration: Work closely with data science, product, and customer success teams to ensure seamless integration and delivery of customer value. 

What You Will Bring

• Engineering Leadership Experience: 12+ years of software engineering experience with 5+ years in engineering management, preferably in SaaS or enterprise software environments. 
• Technical Depth: Strong hands-on experience with modern tech stack including Java/Python, cloud platforms (preferably Azure), microservices architecture, and data engineering pipelines. 
• AI/ML Platform Experience: Experience managing teams building AI-enabled products or data platforms. Understanding of ML model integration, agent frameworks, and large-scale data processing. 
• Enterprise Software Expertise: Knowledge of building compliant, secure, multi-tenant systems that serve enterprise customers at scale. 
• People Leadership: Proven track record of building, mentoring, and scaling engineering teams. Experience with performance management, career development, and creating inclusive team environments. 
• Product Mindset: Strong collaboration skills with product managers and designers, with experience translating business requirements into technical solutions. 
• Process Excellence: Experience implementing agile methodologies, establishing engineering best practices, and driving continuous improvement in team productivity. 
• Growth Mindset: Comfort operating in a fast-paced, hypergrowth environment with the ability to adapt quickly to changing priorities and scale challenges. 
• Communication Skills: Excellent written and verbal communication skills with the ability to present technical concepts to both technical and non-technical stakeholders. 

What Will Make You Stand Out

• Background in supply chain, logistics, or enterprise risk management domains. 
• Experience with compliance frameworks (SOC 2, ISO 27001, GDPR).
• Experience with container orchestration (Kubernetes) and event-driven architectures. 

Why You Will Love It Here

• Leadership Impact: Shape the engineering culture and technical direction of a platform transforming global supply chains.
• Hypergrowth Opportunity: Lead teams in one of the fastest-growing enterprise AI categories with significant career advancement potential.
• Cutting-Edge Technology: Work with the latest in AI, machine learning, cloud-native architectures, and enterprise data platforms.
• Team Building: Opportunity to recruit, develop, and lead world-class engineering talent in a collaborative, innovation-driven environment.
• Global Reach: Your team's work directly impacts supply chain resilience for Fortune 500 companies worldwide.
• Flexible Culture: Fully remote work environment with a focus on results.


Ready to lead the future of supply chain intelligence? Join us in building the AI platform that keeps the global economy resilient.