Founding Engineering Manager
Giga· Engineering
New York$210k - $400kFull-timePosted 8mo ago
About the role
Engineering Leader to shape technical direction of AI-native, enterprise-grade products. Lead complex programs, own systems end-to-end, hire and mentor teams, and drive engineering quality across the Toronto site.
Responsibilities
- Hire an elite team and lead the Toronto site
- Drive technical initiatives across the company
- System architecture: Designing how agent infrastructure should evolve as we scale, balancing speed, reliability, and complexity
- Owns the most ambiguous, highest-stakes projects where getting it wrong would hurt the business
- Technical strategy: identifying gaps in our systems and building the case for addressing them
- Engineering quality: setting standards for code review, system design, and operational excellence through your own work
- Mentor other engineers and help them grow through collaboration on real work and formal management
Qualifications
- 8+ years of engineering experience, with a track record of leading complex projects
- Have hired teams from scratch before
- Have opinions about how systems should be built and can articulate tradeoffs
- Able to turn vague problems into clear technical approaches without much guidance
- Write excellent code and hold others to a high standard without being a bottleneck
- Energetic about hard problems and comfortable with uncertainty
- Want to be hands-on at a company where leaders ship code, not just review it
- Have built systems that scaled and understand what breaks at each order of magnitude
Skills
Required:Engineering leadershipSystem design and architecturePeople managementCode ownership
Benefits
- Generous salary and equity
- Commuter and meal benefits
- Country Specific Medical, Dental, and Vision coverage
Last updated Jul 15, 2026. Interested? Apply on the company site.
About Giga
AI that talks like a human.
Enterprises choose Giga for AI agents that manage complex workflows, deploy rapidly, and deliver human-like customer experiences at scale.
AIsupport automationenterprise supportworkflow managementhuman-like customer experiences
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