Parity is the AI SRE for Incident Response

Let's face it: on-call sucks. 2 AM pings, unactionable alerts, and a week of getting behind on your real work.

Parity is leveraging AI to make on-call a thing of the past. Our AI agents run investigations to triage, root-cause, and remediate issues in infrastructure autonomously. We have seen great adoption with early customers and are building a product that has the potential to define an emerging category.

We're backed by exceptional investors, including Y Combinator, General Catalyst, and Sugar Free Capital. We're also supported by a great cohort of angels including the founders and early employees of top startups like Midjourney, Crusoe, and more.

As a founding applied AI engineer, you’ll work on our improving and expanding our core AI features. AI is at the heart of Parity’s product and you’ll be directly responsible for scoping out, developing, testing, and ultimately shipping new AI features to our customers. You’ll work directly with the founders and early team.

You’d be a great fit if you:

• Philosophy: You love to ship fast and make an impact. You have a high bar for quality and love moving from ideation to solution in the hands of the customer as quickly as possible. We want someone with high agency and a balance between technical obsession and pragmatism.
• Experience: You have 2 to 5 years of experience building real world applications
• Language: You’re exceptional at Python, Go, or similar
• Tools: Build your own tools as needed and love to use tools like Cursor to maximize your velocity. You improve systems along the way to move faster and faster.
• Culture: You’re excited to join a fast-paced, in-person team in Downtown SF.

Bonus points if you:

• Have prior experience founding a company or building products at early stages
• Are ambitious and driven, and care a lot about doing great work with great people
• Keep up with the latest developments in AI/LLMs

This is an in person role at our office in SF. We’re an early stage company which means that the role requires working hard and moving quickly. Only apply if that excites you.

Our backend is built in Go and Python. We've built a custom AI agent framework that is agnostic to the underlying model provider. We've also built a custom workflow framework.

Our frontend stack is Typescript and NextJS.

We support deployment in both a hosted and self-hosted environments.

In order to successfully root cause an alert, we need to ingest observability data, monitor live infrastructure, understand configurations, recent deployments and code changes, and then put that all in the context of how a team responds to incidents by understanding their team communications and documentation. We're effectively building an AI teammate that needs to onboard onto a team's on-call process. This leads to several compelling technical and product challenges that will be transformational if we can solve them at scale.