Firetiger attaches a monitor to every pull request and watches the rollout across staging, canary, and production, returning one verdict per deploy: verified, regression detected, or inconclusive. Backed by Sequoia.
About the role
Firetiger's agents find production problems before your customers find them and your CEO hears about them. Here's how it works: We ingest telemetry with high-cardinality detail and automatically model what your system is and how it works
What they're looking for
- High Agency : You don't wait for permission. You see a problem, whether a confusing user flow or missing feature, and you fix it. You ship
- Product-Minded : You care about the why behind what you build. You talk to customers. You have opinions about what makes developer tools great vs. frustrating
- Full-Stack Capable : You're comfortable working across the stack to deliver complete features. You've built complex, data-heavy web applications and know how to make them fast
- AI-Curious : You've built with LLMs, or at a minimum collaborated with agentic development tools (Claude Code, Cursor, etc) to write software. You're excited about the design challenges of human-AI collaboration
- Experience : You're excited about building and shipping user-facing software products. You have examples of projects you drove end-to-end that users loved
- Communication : You can write a clear product spec, explain a technical tradeoff to a customer, and give direct feedback to teammates
More about this role
Firetiger is on a mission to help our customers build 1-person, $1 billion revenue companies.
We believe that eventually, all companies will be software companies, and the vast majority of coordination will be handled by autonomous agents, not people. To get there, we are helping software companies become "self-driving".
Legacy software engineering operations software is built for humans to manually explore data and patch together brittle alerts. The last generation of tools like Datadog is designed to enable humans to understand how software behaves. Firetiger flips the script. We approach operations from first principles: customers define top-down what success looks like for a business and product, then deploy agents to constantly monitor to ensure those goals are met and close the loop.
We are founded by Rustam and Achille , former leaders from Cloudflare and Segment, and backed by Sequoia Capital and founders and executives at Cloudflare, Segment, Amazon, Anthropic, Cursor, and Plaid.
We are looking for a Product Engineer to build the interfaces between humans and AI agents: the workflows, visualizations, and interaction patterns that make autonomous technical operations...
Browse similar: Startup jobs · San Francisco Bay Area