Senior Product Engineer

Clera

Berlin, Germany

On-siteCareer-pivot friendly

Who this role is best for

Logistics professionals with full-stack engineering experience will find this product engineering role, which emphasizes AI and customer collaboration in a hybrid Berlin setting.

Best fit for

Candidates with 3+ years of full-stack development and AI feature deployment experience in logistics or operations domains.
— “At least 3 years of production experience building full-stack web applications with Node.js and TypeScript”
Individuals who have led technical projects from architecture to launch and refined them through user feedback.
— “A track record of owning projects end to end and improving products through customer feedback”
Engineers with hands-on LLM orchestration and distributed systems expertise, especially in serverless environments.
— “Experience with LLM orchestration, agent workflows, vector stores, embedding pipelines, and structured data validation”

Things to consider

In-office work on three days per week is required despite the hybrid model.
— “Hybrid in Berlin, Germany, with in-office work Monday through Wednesday”
Travel within Europe is expected, which may impact work-life balance.
— “Travel within Europe is expected”

How to stand out

Highlight end-to-end ownership of technical projects and their post-launch refinement.
— “Own technical projects from architecture through launch, then iterate based on user feedback”
Showcase experience with AI-powered tools in logistics or operations contexts.
— “AI-powered tools for freight and logistics operations”
Demonstrate proficiency in prompt engineering and error recovery for LLM features.
— “Hands-on experience shipping LLM-powered features, including prompt engineering, structured output parsing, context management, and error recovery”
Emphasize work with distributed and serverless systems in production settings.
— “Develop robust distributed and serverless systems, balancing rapid delivery with long-term quality and maintainability”
Include metrics and tracing experience for debugging asynchronous workflows.
— “Experience using metrics and tracing to debug production issues across asynchronous workflows”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

successful product launches
improved system reliability
positive customer feedback

Typical background

software engineeringAI development

Skills & requirements

Required

Full-stack DevelopmentLLM OrchestrationAgent WorkflowsStructured Data PipelinesCustomer Feedback Integration

Preferred

Logistics ExperienceSupply Chain Knowledge

Stack & domain

Node.jsTypeScriptReactMongoDBDistributed SystemsServerless InfrastructureLLM OrchestrationAgent WorkflowsVector StoresEmbedding PipelinesStructured Data ValidationFreightLogistics

About the role

Original posting from Clera via Ashby

ABOUT THE ROLE
Join an early-stage product engineering team building AI-powered tools for freight and logistics operations. Working closely with the founding team and customers, you will shape the product and build production systems that help solve real operational challenges across the industry.
WHAT YOU'LL DO
Speak with customers and turn their needs into product direction, technical plans, and system architecture.
Build full-stack features, combining user-facing interfaces with LLM orchestration, agent workflows, and structured data pipelines.
Improve the reliability, latency, and evaluation of AI features running in production.
Develop robust distributed and serverless systems, balancing rapid delivery with long-term quality and maintainability.
Own technical projects from architecture through launch, then iterate based on user feedback.
Contribute to the team's technical vision and product strategy.
WHAT WE'RE LOOKING FOR
At least 3 years of production experience building full-stack web applications with Node.js and TypeScript.
Proficiency with React, MongoDB schema design, distributed systems, and serverless infrastructure.
Hands-on experience shipping LLM-powered features, including prompt engineering, structured output parsing, context management, and error recovery.
Experience with LLM orchestration, agent workflows, vector stores, embedding pipelines, and structured data validation.
Experience using metrics and tracing to debug production issues across asynchronous workflows.
A track record of owning projects end to end and improving products through customer feedback.
Logistics, supply chain, or operations experience is helpful. You must be based in Berlin or willing to relocate.
COMPENSATION & BENEFITS
Visa sponsorship is not available.
LOCATION
Hybrid in Berlin, Germany, with in-office work Monday through Wednesday. Travel within Europe is expected.

Source: Clera careers (Ashby)