1,906,521open jobs
111,657companies
249,788added this week
Browse all
Salary
$160k – $230k per year
Location
In office (San Francisco)
Seniority
Staff · 7+ years exp
Visa
H-1B filings in 12 months: 4
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Feb 20, 2026. Giga scores D on the Alion truth index.

Overview
Company
Impact
Profile match
Giga, formerly GigaML, is an artificial intelligence company that builds voice and chat agents for enterprise customer support. Its agents handle large volumes of phone and messaging conversations for consumer and logistics businesses, integrating with existing support tools and escalating to human staff when needed, and it is backed by venture investors. The company is headquartered in San Francisco, California, United States.

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:

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. 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.

What You'll Work On

A few examples of what this role looks like day-to-day:

  • 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

As a senior QA lead, you'll be the core owner of ensuring quality releases in the company. You'll have real influence over release cadence, quality standards, and how QA fits into the development lifecycle.

You Might Be a Fit If You

  • Have 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

Perks & Benefits

  • Catered lunch daily

  • Dinner stipend

  • $150/month wellness benefit (gym, fitness classes, mental health)

  • 401(k) plan

  • Commuter benefits

  • 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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,906,521 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

QA
Similar stack
Same company
San Francisco
$141k – $212k per year • Equity • In office • 4+ years exp • Bachelor's Degree • San Diego
Python
Java
SQL
C++
DevOps
Rest API
CI/CD
Linux
QA
Rest-Assured
Apply
$188k – $282k per year • In office • Full-Time • 8+ years exp • PhD • San Mateo
Python
Go
TypeScript
C++
Cython
Python
Poetry
C++
Conan
Cython
Setuptools
AI/ML
Weights & Biases
MLFlow
Vertex AI
Reinforcement Learning
Quantization
Kubeflow
PyTorch
LLM
Synthetic Data
CUDA
Amazon SageMaker
Machine Learning
DevOps
CI/CD
Kubernetes
Linux
Robotics
Reinforcement Learning
SpaceTech
DO-178C
Defense
MIL-STD-882
Apply
Manhattan WMS QA Lead 5 hours ago
≈ $59k – $131k per year (Estimated) • Equity • In office • Full-Time • 8+ years exp • Katy
QA
Rest-Assured
Apply
≈ $111k – $245k per year (Estimated) • In office • Santa Clara
Python
Databases
MySQL
Snowflake
Cassandra
MS SQL
AI/ML
Copilot
Cursor
Model Context Protocol
DevOps
Jenkins
Git
Bitbucket
GitHub
Windows
Management
Jira
QA
Playwright
Pytest
Apply
$109k – $163k per year • In office • Secret • Full-Time • 5+ years exp • Bachelor's Degree • Baltimore
Python
C++
Apply
≈ $35k – $64k per year (Estimated) • In office • 7+ years exp • Hyderabad
AI/ML
AI Agents
LLM
Explainable AI
Human-in-the-Loop
Machine Learning
Management
Agile
Scrum
Apply
≈ $16k – $36k per year (Estimated) • In office • 8+ years exp • Pune
Python
JavaScript
TypeScript
Apex
Apex
Copado
AI/ML
Prompt Engineering
AI Agents
AWS Bedrock
LLM
LLM Guardrails
DevOps
Rest API
CI/CD
Git
AWS
AWS Lambda
Amazon S3
IAM
Amazon CloudWatch
Management
Jira
Agile
QA
Playwright
WebDriverIO
Apply
$74k – $138k per year • Equity 0.2–0.2% • Remote (India) • Full-Time • 3+ years exp • Bengaluru
AI/ML
Fine-tuning
RLHF
Knowledge Distillation
AI Agents
LLM
Model Distillation
Apply
≈ $16k – $44k per year (Estimated) • In office • 4+ years exp • Hyderabad
JavaScript
TypeScript
AI/ML
Embeddings
Prompt Engineering
AI Agents
LLM
RAG
Frontend
Angular
DevOps
AWS
Kubernetes
AWS Lambda
Amazon EC2
Amazon S3
IAM
Apply
≈ $19k – $46k per year (Estimated) • In office • Bachelor's Degree • Thailand
AI/ML
AI Agents
LLM
DevOps
Azure
CI/CD
AWS
Analytics
Power BI
Management
UiPath
ITIL
Apply
Operations Manager 8 days ago
In office • Full-Time • Bengaluru
AI/ML
AI Agents
Apply
$200k – $250k per year • In office • Full-Time • San Francisco
SQL
Databases
Snowflake
Databricks
AI/ML
ElevenLabs
AI Agents
OpenAI
Anthropic
Deepgram
Mobile
Twilio
Marketing
Salesforce
Apply
$200k – $220k per year • In office • Full-Time • San Francisco
AI/ML
AI Agents
LLM
Apply
$100k – $190k per year • In office • Full-Time • 1+ year exp • San Francisco
Python
AI/ML
AI Agents
DevOps
CI/CD
Apply
Mobile Engineer 5 months ago
$200k – $400k per year • In office • Full-Time • 8+ years exp • San Francisco
Python
Go
JavaScript
Kotlin
TypeScript
Node JS
Swift
Python
FastAPI
Django
Databases
PostgreSQL
AI/ML
AI Agents
Voice Agents
Frontend
GraphQL
Next.js
React.js
DevOps
AWS
Kubernetes
Apply
$297k – $440k per year • Equity • Hybrid • Full-Time • 7+ years exp • San Francisco • San Jose • Bellevue
Python
AI/ML
Machine Learning
DevOps
SLURM
CI/CD
AWS
Kubernetes
AWS Lambda
Apply
$94k – $142k per year • Equity • In office • Full-Time • 7+ years exp • Bachelor's Degree • San Francisco
Design
SolidWorks
Apply
≈ $94k – $178k per year (Estimated) • Hybrid • 4+ years exp • Bachelor's Degree • San Diego • San Francisco
Python
SQL
Energy
PLEXOS
Apply
≈ $75k – $150k per year (Estimated) • In office • Part-Time • 5+ years exp • San Francisco
Apply
≈ $41k – $75k per year (Estimated) • In office • Part-Time • San Francisco
Apply
See all jobs
This is one of many
1,906,521 more open roles from verified company boards, updated every day.