AI Native Founding Product and Platform Engineer
Company: Jobgether
Location: US (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-09-30
About this role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Native Founding Product and Platform Engineer based in the United States.
This is a founding-level engineering opportunity for a hands-on technical leader who wants to shape a modern digital product and engineering platform from the ground up. You will define architecture, development practices, tooling, and technical standards while actively building production systems. The role spans customer-facing product experiences, distributed backend services, cloud infrastructure, and developer platforms. You will establish scalable foundations that allow a lean engineering organization to move faster, operate safely, and deliver high-quality products. Rather than focusing on governance, you will lead through code, making critical technical decisions through hands-on delivery and pragmatic problem-solving. You will also turn successful engineering patterns into reusable capabilities that can accelerate development across the organization. This is an ideal environment for someone energized by greenfield work, ambiguity, ownership, and the opportunity to shape engineering culture from day one.
### Accountabilities:
- Lead architecture and delivery for high-impact digital product initiatives, using hands-on development to establish strong technical direction and engineering standards.
- Design and build full-stack solutions spanning frontend applications, backend services, cloud infrastructure, and deployment pipelines.
- Develop and evolve the engineering platform, including CI/CD workflows, Kubernetes infrastructure, infrastructure as code, observability, and developer tooling.
- Establish scalable and reusable technical foundations that enable engineers to build, deploy, and operate software more quickly and independently.
- Identify successful technical patterns and transform them into shared services, frameworks, libraries, tooling, ...