Software Engineer, Full Stack — Dots

About the Team

Dots is building personal AI agents that help people make progress on their goals, including when they are away from ChatGPT. These agents can learn preferences, maintain context, work across applications, and use cloud computers to carry out tasks.

Our team brings together product engineering, design, and research to turn frontier model capabilities into useful everyday experiences. We are defining how people delegate work, understand what an agent is doing, and stay in control. Engineers help shape both the product and the systems behind it, from early prototypes through launch and iteration.

About the Role

We are looking for Senior and Staff Full Stack Software Engineers to build Dots product experiences from the interface through the services that power them. You will help define how people delegate tasks to personal agents, follow their progress, and collaborate with them over time. This role combines hands-on product development with the systems work needed to make persistent, asynchronous agent experiences reliable.

In this role, you will:

• Build and launch features across web interfaces, APIs, backend services, and data models.
• Create workflows for task creation, progress updates, agent feedback, and results that remain coherent across sessions and devices.
• Translate emerging model capabilities into product prototypes with research, product, and design partners.
• Design clear interfaces between product surfaces and agent execution systems.
• Improve performance and reliability across the stack, including user-facing latency and recovery from partial failures.
• Own projects from early exploration through architecture, implementation, launch, and iteration based on user feedback.
• Help establish technical direction, testing practices, and observability as the product grows.

You might thrive in this role if you:

• Have significant experience building and shipping products across frontend and backend systems.
• Can move comfortably between user interfaces, service design, APIs, and data modeling.
• Bring strong product instincts and care about making complex capabilities understandable to users.
• Have taken ambiguous ideas from concept to production and made practical tradeoffs between iteration speed and long-term maintainability.
• Understand asynchronous workflows and can reason about state, consistency, and failure across system boundaries.
• Collaborate effectively with design, product, research, and engineering partners.
• Have owned complex engineering projects and helped other engineers make sound technical decisions.
• Experience launching new consumer products, building agent or workflow applications, or working in small teams with broad engineering ownership is especially relevant.
• Prior experience with AI or machine learning is helpful, but not required. We welcome experienced engineers who want to bring strong product and engineering judgment to a new category of software.