Giga ML builds emotionally intelligent AI voice agents that handle real-time customer support for large, compliance-focused enterprises.
ABOUT GIGA Giga has recently raised a $61M Series A and is working with Fortune 500 customers to deploy the next generation of customer experience — real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world’s largest enterprises. We are an AI Native, Enterprise grade platform. It’s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers. The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us: - Voice AI startup Giga raises $61M Series A https://fortune.com/2025/11/05/voice-ai-giga-raise-61-million-customer-service-series-a/ - DoorDash and Giga Partnership https://www.linkedin.com/feed/update/urn:li:activity:7391576181009018883/ Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply! THE ROLE We're looking for an Engineering Leader to help shape the technical direction of our AI native, enterprise grade products. You'll lead complex projects, make architectural decisions that affect the whole platform, and raise the bar for engineering quality across the team. This is a role for someone who wants to build, not just advise. You'll write code, own systems, and ship, but you'll also be expected to think beyond your immediate work to identify what the team should be building next and how we should build it. WHAT YOU'LL WORK ON You'll hire an elite team and lead the Toronto site! You will drive technical initiatives across the company. Some examples: - System architecture: Designing how our agent infrastructure should evolve as we scale, making tradeoffs between speed, reliability, and complexity - Hard technical problems: Owning the most ambiguous, highest-stakes projects where getting it wrong would hurt the business - Technical strategy: Identifying gaps in our systems before they become problems and building the case for addressing them - Engineering quality: Setting standards for code review, system design, and operational excellence through your own work At the engineering leader level, you'll work across team boundaries and be responsible for outcomes beyond your individual output. You'll mentor other engineers and help them grow, through collaboration on real work and formal management. TECH STACK - Backend: Python (Django/FastAPI), TypeScript (Node.js) - Infrastructure: AWS, Modal, Kubernetes, Postgres - Frontend: TypeScript, Next.js (you'll interact with this when needed) YOU MIGHT BE A FIT IF YOU - Have 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 the tradeoffs behind those opinions - Can take a vague problem and turn it into a clear technical approach without much guidance - Write excellent code and hold others to a high standard without being a bottleneck - Are energized by 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 PERKS & BENEFITS - Generous salary and equity - Commuter and meal benefits - Country Specific Medical, Dental, and Vision coverage Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.