
Product Engineer
Immigration summary
Visa sponsorship
This posting says it cannot offer visa sponsorship for this role.
57 of 267 recent openings here mention sponsorship
View visa evidenceGreen card sponsorship
Employer filing history could not be verified.
View green card evidenceJob description
About the Role
You'll work directly with the founding team to build AI agents that automate real operations in global sea and air freight. This is a high-ownership, full-stack role where you'll make foundational technical decisions and put product directly into the hands of users in one of the world's most critical industries.
What You'll Do
Talk directly to customers and translate their needs into product direction and system architecture.
Build full-stack features combining intuitive interfaces with intelligent backend logic, including LLM orchestration, agent workflows, and structured data pipelines.
Push the limits of what LLMs and agents can do in production, tackling hard problems around reliability, latency, and evaluation.
Scale from demo-quality code to robust, production-ready systems, making deliberate tradeoffs between speed and durability.
Help shape the technical vision and product strategy of the company.
What We're Looking For
3 or more years building full-stack web applications with Node.js and TypeScript in production environments.
Hands-on production experience with LLM-powered features, including prompt engineering, structured output parsing, context window management, and error recovery.
Proficiency in React for building user-facing interfaces.
Experience designing MongoDB schemas with attention to query performance and flexibility.
Experience building distributed systems and serverless infrastructure, including handling concurrency, failure modes, and scale.
Familiarity with observability tooling (such as Datadog) for debugging production issues across async workflows using metrics and tracing.
Experience with LLM orchestration, agent workflows, and structured data pipelines.
Demonstrated track record of taking full ownership of projects from architecture through delivery and iteration.
Familiarity with vector stores and embedding pipelines for AI applications is a plus.
Domain knowledge of logistics, supply chain, or operations is a plus, but not required.
High-agency mindset, comfort with ambiguity, and genuine curiosity about how industries work.
Location
Hybrid, based in Berlin, Germany. On-site Monday to Wednesday, with travel within Europe expected. Visa sponsorship is not available.
Sponsorship evidence
Why Openbound reached the conclusions above.
Visa sponsorship evidence
Current posting
Sponsorship restriction stated
“Visa sponsorship is not available”
Detected directly from this job posting.
Other openings
57 of 267 recent openings at this employer mention sponsorship.
Employer filing history
Unavailable
We couldn't confidently match this employer to a verified U.S. filing entity, so reliable H-1B and PERM history isn't available yet.
Filing history reflects past employer behavior; it isn't a promise for this opening.
All open roles at CleraHow Openbound evaluates sponsorship
Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.
An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence.
What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.