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Founding Engineering Manager

Giga· Engineering
Apply on company site
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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