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BlueCargo is a VC-backed, Y Combinator-backed (W18) logistics and supply chain technology company transforming container visibility and freight audit automation. The platform integrates fragmented data from terminals, carriers, and ports into a single intelligent interface, helping shippers and logistics providers make faster decisions and eliminate millions in unnecessary freight costs. The company raised Series A in 2022 and is scaling with hundreds of active customers.
You will lead BlueCargo's engineering platform as a hands-on Tech Lead / Engineering Manager, splitting your time roughly 50/50 between individual contribution and team leadership. You'll own the core platform engineering, AI initiatives, customer support operations, and data integrations functions.
Key responsibilities include:
**Team Leadership & Growth:** Hire, mentor, and manage the full engineering team spanning platform engineers, AI engineering, customer support, and data integrations. Foster a culture of innovation, continuous learning, and accountability. Oversee onboarding, career development, and performance management.
**Technical Strategy & Execution:** Remain hands-on (~50% of time) contributing directly to architecture, code, and delivery. Provide technical guidance across platform, AI, and data projects, including architecture design and code quality. Drive implementation of robust, scalable systems that automate freight audit processes. Ensure rigorous testing, code reviews, and adherence to best practices.
**Cross-Functional Collaboration:** Work closely with Product and Data teams to translate business challenges into technical solutions. Lead execution meetings and contribute to sprint planning. Act as a key technical advisor in strategic discussions shaping roadmap and priorities.
**Operational Excellence:** Own customer support day-to-day ticket resolution and SLAs. Own data integrations managing ingestion and tracking from terminals, ocean carriers, and third-party providers. Define and track KPIs measuring team success and process efficiency. Champion agile methodologies and continuous improvement. Manage technical debt ensuring sustainable, future-proof systems.
**Requirements:**
- 5+ years in engineering management with strong background in platform/data engineering leadership
- Proficiency in Python and AWS (required)
- Proven expertise in scalable system architecture and data pipelines
- Demonstrated ability to build and lead high-performing teams
- Excellent communication skills and collaborative mindset
- Strong analytical mindset with passion for complex technical challenges
- Entrepreneurial problem-solver mentality
- Experience with AI/ML is a nice-to-have, not required
- Ability to balance short-term execution with long-term innovation and make strategic technical decisions aligned with business goals
