Software Engineer, Bugbot

What you’ll do

• Launch new Bugbot features end-to-end from defining the feature and building the UI to wiring up the backend and iterating on model behavior so that each release meaningfully improves code review quality.
• Evolve the review pipeline adapting prompting strategies, model routing, context selection, and agent orchestration to take advantage of new capabilities while managing cost and latency.
• Build integrations that embed Bugbot into every engineer's workflow making AI-assisted review a seamless, default part of the development loop.
• Own product quality and reliability monitor precision and recall, triage false positives, improve observability across the review pipeline, and ensure Bugbot earns trust with every review it posts.
• Design onboarding and adoption flows that help teams go from first install to daily active usage.
• Partner with ML, infrastructure, and product teams to inform model improvements with real-world review data, shape the Bugbot roadmap, and scale the system as adoption grows.
• Own Bugbot's product surface end-to-end: features, integrations, review pipeline, onboarding, configuration, and the user experience of AI code review.

You may be a fit if

• You’ve built or worked on agents that integrate into the code review or CI/CD workflow.
• You’ve shipped full-stack product features end-to-end and enjoy moving between frontend, backend, and model integration.
• You care deeply about developer experience and collecting new evals from customers and internal team members.
• You can hold the tension between "ship fast to learn" and "don't erode trust with bad suggestions."
• You’ve launched a product or feature to external users and owned the full loop: onboarding, documentation, feedback, and iteration.