Full-Time
Member of the Technical Staff
Kiso Technology
11-50 employees
Decision science and applied AI solutions
Compensation Overview
$110k - $350k/yr
San Francisco, CA, USA
In Person
Relocation assistance is offered for new employees.
PhD
 Software Engineering |
|---|
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- Strong skills and professional experience in at least one of software engineering in a collaborative, production environment; applied mathematics such as artificial intelligence, operations research, statistics, probability, or machine learning; or product leadership on artificial intelligence.
- Excellent communication skills and the ability to distill technical concepts for non-technical audiences.
- Comfort in a client-facing role.
- Ability to work independently and be self-directed.
- Work on small, focused project teams of typically two to four people to address complex strategic questions and deliver end-to-end solutions to ambiguous questions.
- Own the entire process from framing the problem to building a solution and ensuring that it drives lasting impact.
- Develop solutions such as large language model-based agents, recommendation engines, hierarchical probabilistic forecasting models, and real-time delivery route planners.
- A PhD in computer science, statistics, applied mathematics, or a related field is preferred.
- A successful track record leading large-scale technical projects, especially in a customer-facing role, is preferred.
- Deep expertise or thought leadership in a technical field, such as influential writing, a strong publication record, or a professorship, is preferred.
Kiso Technology embeds its technical teams inside client organizations to design and implement algorithmic software and AI applications that solve complex business problems. It works by translating business challenges into technical solutions and delivering two main service lines—Decision Science for autonomous planning and logistics, and Applied AI for custom AI models and applications—with problem framing, development, and implementation handled end-to-end. Unlike vendors that sell standalone software, Kiso co-creates on-site with clients, blending decision science and applied AI to address operations across industries. Its goal is to deliver rapid time-to-value and measurable bottom-line improvements in planning, logistics, forecasting, and automation.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
San Francisco, California
Founded
2023
Get referred to Kiso Technology
See people who can refer or advise you
Simplify's Take
What believers are saying
- Kiso's August 2026 site says it serves data center, semiconductor, grocery, and retail clients.
- An August 2026 operations lead posting says Kiso is profitable and growing quickly.
- LinkedIn shows 11-50 employees, suggesting high leverage if client demand compounds.
What critics are saying
- Kiso has no funding history and only one open job, limiting scale.
- Revenue depends on a few named clients like Grindr, HP, and New Balance.
- Consulting talent is portable; OpenAI, Accenture, and boutique rivals can replicate services quickly.
What makes Kiso Technology unique
- Kiso embeds technical teams inside clients, unlike software vendors selling standalone products.
- It combines decision science and applied AI for planning, forecasting, and custom applications.
- Its job posts emphasize PhD-level optimization, machine learning, and client-facing production delivery.
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Benefits
Relocation Assistance
Performance Bonus