What the role involves
We’re looking for candidates to own the technical delivery for our enterprise customers in North America and APAC region (especially Japan). If you enjoy working directly with customers, bridging between different stakeholders, also in a fast paced environment, you’re likely a fit for this role.
As part of our founding team you may
- Work directly alongside the CEO to ensure success for customers
- Travel to customer sites to solve deployment problems and more
- Bridge between sales and engineering functions
- Help guide the engineering teams to understand customer requests and features
Hard Requirements
- Business level proficiency in English and Japanese
- Excellent communication skills
Qualifications (none of these are hard requirements)
- Industry experience working directly with customers to own technical deployments (experience as forward deployed engineering, solutions architects, developer technologists, sales engineering, etc)
- Industry experience in management consulting
- Good visual taste / an appreciation for aesthetics
- Ability to build quick feature requests from customers in Python, TypeScript
- Ability to understand issues in cloud deployments (knowledge of computer networking, DevOps, common issues on major cloud platforms)
- Academic background in computer science or engineering
- Proficiency in other languages (e.g. Mandarin)
We prefer candidates to be located in San Francisco (with frequent travel to Japan), but we may be open to hiring directly in Tokyo as well.
What they ask for
About Outerport
Building out new LNG plants, HVAC systems, or semiconductor processes rely on hundreds of iterations of feasibility testing (through simulation or real-world lab tests) where different designs (combinations of equipment) and parameters are validated. The parameters are often locked in PDFs (datasheets, wiring diagrams, PFDs/P&IDs) which take thousands of hours to convert into CSVs / JSONs, and the simulators don't have an easy API to work with. Outerport bridges the gap by finding documents from PLMs, extracting structured data from drawings, building a knowledge graph over them, and building autonomous AI agents that can fully automate this R&D process by running simulations and performing design checks.
Full Outerport profile