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.
Top Skills
What We Do
Every year, tens of thousands of events – ranging from natural disasters to factory fires to health epidemics – shut down manufacturing and wreak havoc on global supply chains. We believe a resilient supply chain is good for everyone: it keeps product flowing, the world moving, and most importantly, people in their jobs.
Resilinc was founded with the purpose of strengthening global supply chains, making them resilient, sustainable, transparent, and secure. We do this via our technology-driven solutions, which create an ecosystem where organizations can collaborate with their suppliers and customers with a spirit of transparency and trust to acquire unmatched visibility into their multi-tier supply networks, and partner across tiers seamlessly to recover supply chains during disruptions.
Since our launch in 2010, Resilinc has defined the supply chain mapping, monitoring, and resiliency space and is widely considered the gold standard for supply chain resiliency, worldwide. With over 1 million supplier sites mapped encompassing over 4 million parts and raw materials, we are the first line of defense for our customers, helping them navigate supply disruptions.
Our early-warning alert system monitors and predicts potential disruptions across suppliers, sites, and materials; our platform enables them to collaborate closely with their suppliers; our historical data-backed insights give them options on appropriate actions to take. Always innovating, our AI-powered predictive solutions can predict delivery delays, price movements, and supply constraints for raw materials and commodities before they happen. Resilinc helps our customers protect revenue and turn supply chain risks into opportunities to gain a competitive advantage
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