AI Native Product Engineer
US$165,000 – US$260,000 / yr base salary
Posted 17 Jun 2026
Advertised as “AI-Native Product Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8+ yrs
- Management level
- Individual contributor
| Base salary | US$165,000 – US$260,000 / yr |
|---|---|
| Cash bonus | US$47,000 |
| Total comp | US$165,000 – US$307,000 |
Toshiba Global Commerce Solutions is looking for a Principal AI-Native Product Engineer who combines deep software engineering expertise with modern AI-assisted development practices to build production-ready software faster—without compromising architectural integrity.
This is a hands-on engineering role for someone who thrives on solving complex technical problems, owns delivery from concept to production, and sees AI as a force multiplier rather than a replacement for engineering judgment.
You'll help shape the architecture, standards, and engineering practices behind one of the world's leading retail commerce platforms.
What You'll Do
You'll own products from idea through production, including architecture, implementation, testing, observability, deployment, and continuous improvement.
You'll:
- Design scalable, AI-friendly software architectures using SOLID principles and clean architecture
- Build enterprise applications across frontend, backend, APIs, integrations, and cloud services
- Leverage AI-native development tools such as Claude Code, Cursor, GitHub Copilot, or Codex to accelerate delivery
- Define contract-first APIs using OpenAPI, AsyncAPI, and strongly typed schemas
- Ensure software is testable, observable, secure, and production-ready from day one
- Review and validate AI-generated code to ensure maintainability, security, and architectural quality
- Build reusable engineering assets including prompts, AI skills, automation, and developer tooling
- Collaborate with product managers, designers, and engineers to rapidly deliver customer value
AI-Native Engineering
We believe AI changes how software is built—but not what great engineering looks like.
You'll work with multiple AI agents simultaneously to:
- accelerate implementation
- generate tests
- improve documentation
- automate code reviews
- streamline releases
- increase engineering throughput
Your role is to ensure AI accelerates development without sacrificing software quality, architecture, or long-term maintainability.
What Success Looks Like
Successful engineers in this role:
- Deliver production-ready features in days rather than months
- Build architectures that become stronger over time
- Ship multiple concurrent initiatives without increasing technical debt
- Create reusable engineering assets that improve team productivity
- Produce software that is secure, observable, testable, and scalable
- Improve engineering velocity while maintaining high quality standards