Breakmark
Head of Engineering
2mo ago
USAHeadRemotebackendfrontenddatainfrastructurearchitecture
Lead and scale the engineering organization for a seed-stage startup focused on logistics operating systems, managing teams and technical direction.
Responsibilities
- We are looking for a Head of Engineering to lead, scale, and elevate the engineering organisation while staying deeply connected to the product, the business, and real customer problems. This is not a process-only role . This is a builder–leader role .
- You’ll own engineering end-to-end — people, systems, quality, and delivery — and lead by context, clarity, and example.
Other
- Our client is building the operating system for global logistics — turning fragmented operational and document-based data into a single source of truth powered by data and AI.
- This is a complex, real-world B2B domain where systems must be reliable, scalable, and deeply integrated with external partners. As the company grows, engineering quality, velocity, and ownership will define the next chapter.
- Own delivery across Backend, Frontend, Data, and Infrastructure
- Ensure teams ship reliable, scalable systems used for critical logistics operations
- Balance speed and quality in a high-stakes, real-world environment
- Set technical direction and guide architecture decisions across distributed, integrations-heavy systems
- Build and scale a high-performing team with strong ownership and accountability
- Partner closely with Product, Data/AI, Partnerships, and Leadership
- 8+ years of software engineering experience
- Experience leading engineering teams in startups or fast-growing product companies
- Background in complex, real-world domains (B2B, logistics, fintech, platforms, data-heavy systems)
- Strong experience with backend-heavy systems
- Experience running production systems on AWS
- Comfortable reviewing architecture and code, even if not coding daily
- Backend: Kotlin, Python
- Data: PostgreSQL, MongoDB / NoSQL
- Infrastructure: AWS, containers, CI/CD, observability
- Integrations: REST, async pipelines, SFTP
- Data & AI: large-scale ingestion, OCR, LLM-powered workflows in production