Software Engineer I / II
Tech Stack
Agent Workflow
Build real-time AI agents that understand emotion, resolve issues instantly, and scale across enterprises. Work on agent memory, dynamic knowledge systems, and AI assistant features.
About the Role
Giga builds real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world's largest enterprises. The company recently secured $61M in Series A funding and counts DoorDash among its paying customers, with AI agents resolving over 1 million support tickets monthly for a single customer.
Engineers work on backend systems powering AI agents, including data pipelines, integrations, and agent infrastructure. The position emphasizes rapid shipping alongside experienced mentors while taking end-to-end ownership of smaller projects.
Key Projects
- Atlas: AI assistant features with Slack integration, natural language queries, and platform resource management
- Activity Stream: Log visualization with filtering and behavioral analytics
- Dynamic Knowledge: Time-based knowledge auto-updates from status pages
- Agent Memory: Conversation context awareness and interaction lookups across sessions
Requirements
- 1-3 years professional software engineering experience
- Curiosity, receptiveness to feedback, pragmatic approach to shipping
- Ability to work in San Francisco office full-time
- U.S. work authorization (sponsorship not provided)
Compensation: $160,000 - $250,000 annually plus equity
Benefits: Daily catered lunch, dinner stipend, $150/month wellness benefit, 401(k), parental leave (12 weeks maternal/6 weeks paternal), commuter benefits, medical/dental/vision coverage.
Culture: High-ownership environment with strong performance expectations. Engineers have high autonomy and responsibility.
Location: San Francisco, CA (100% in-office, 5 days/week)
