The RoleWe're looking for software engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers who will help you grow.
This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
What You'll Work OnYou'll contribute to projects across our stack. Some examples:
- Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
- Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
- Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
- Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
As an early-career engineer, you'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
You Might Be a Fit If You- Have 1-3 years of professional software engineering experience
- Are curious and ask good questions-you want to understand why things work, not just how
- Can take feedback well and iterate quickly
- Prefer shipping over perfection but still care about quality
- Want to grow at a startup where you'll have real responsibility early
Perks & Benefits- Competitive base + bonus + equity
- Catered lunch daily
- Dinner stipend
- $500/month wellness & commuter benefit (gym, fitness classes, mental health)
- 401(k) plan
- Medical, dental, and vision coverage
