Senior QA Lead - San Francisco

Giga•California, CA

About The Position

About Giga Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We’re building 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. 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 DoorDash and Giga Partnership 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 a QA lead to own quality across our AI agent platform and run a distributed testing team. You'll define what "ready to ship" looks like, build the test strategies and processes from the ground up, and be the person in SF who keeps quality on track as the team scales. This is a hands-on QA role. You'll write test plans, execute testing, and manage a team of offshore QA testers — not write code or build automation frameworks. You'll work closely with engineering and product to understand what's being built, identify where things can break, and make sure nothing ships until it's been thoroughly validated. If you've run QA for a fast-moving product team and know how to keep quality high without slowing everything down, this is your role.

Requirements

7+ years of experience in QA or quality assurance, with a track record of leading test efforts for complex products
Have managed or led distributed QA teams, ideally across time zones, and know how to keep offshore testers productive, motivated, and aligned with the SF engineering team
Are excellent at test planning — you can look at a feature, think through the edge cases, and build a test strategy that catches the things engineers miss
Have experience testing conversational AI, voice systems, chatbots, or other non-deterministic products where "correct" isn't always a single answer
Are a clear, organized communicator — your bug reports are detailed, your test plans are thorough, and your status updates give leadership confidence
Can push back on engineering when something isn't ready to ship, but also know when good enough is good enough for the stage the company is at
Are comfortable being the person who builds the QA function from scratch — defining the processes, picking the tools, and setting the bar for quality
Are excited about AI and want to figure out what quality assurance looks like for products that didn't exist five years ago

Responsibilities

Test strategy and planning: Defining test plans, acceptance criteria, and coverage matrices for new features across our voice, chat, and email AI agents
AI agent validation: Testing agent conversations for accuracy, tone, hallucinations, and edge cases — figuring out how to systematically QA outputs that are different every time
Release management: Owning the QA gate for releases, coordinating test cycles, managing regression suites, and signing off on production readiness
Team management: Running a distributed QA team across SF and offshore locations — assigning work, reviewing results, setting standards, and keeping the team aligned across time zones
Bug triage and reporting: Classifying, prioritizing, and clearly documenting defects so engineering can reproduce and fix issues efficiently
Process design: Building the QA processes, workflows, and documentation that let us scale testing as the product and team grow
Ensuring quality releases in the company
Influence over release cadence, quality standards, and how QA fits into the development lifecycle