Giga

5 months ago

QA Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

A hands-on Senior QA Lead who owns quality across an AI agent platform, builds test strategies, and runs a distributed QA team in SF and offshore. You’ll define readiness criteria, manage release QA gates, and shape QA processes as the product and team scale, ensuring thorough validation without slowing delivery.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Seniority: Manager level

Key Responsibilities

•Define test strategy, acceptance criteria, and coverage matrices for new features across our voice, chat, and email AI agents.
•AI agent validation: test agent conversations for accuracy, tone, hallucinations, and edge cases.
•Release management: own the QA gate for releases, coordinate test cycles, manage regression suites, and sign off on production readiness.
•Team management: run a distributed QA team across SF and offshore locations, assign work, review results, set standards, and align across time zones.
•Bug triage and reporting: classify, prioritize, and document defects so engineering can reproduce and fix issues efficiently.

Pay and Benefits

Salary: USD 160,000 - 230,000 annually

Equity and Bonus:Equity

Perks:Dinner StipendWellness Stipend401kCommuter BenefitsMedical CoverageDentalVision

Key Requirements

•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.

Experience:7+ yearsAIConversational AISaaSEnterprise software

Skills:CommunicationLeadershipProblem-solving

Company Brief

Giga

Builds emotionally intelligent, real‑time AI voice and chat agents to automate enterprise B2C customer support, handling complex workflows, multilingual voice, and integrations for large enterprises like DoorDash.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Founded: 2023

Website LinkedIn

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Giga

5 months ago

QA Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Seniority: Manager level

Key Responsibilities

•Define test strategy, acceptance criteria, and coverage matrices for new features across our voice, chat, and email AI agents.
•AI agent validation: test agent conversations for accuracy, tone, hallucinations, and edge cases.
•Release management: own the QA gate for releases, coordinate test cycles, manage regression suites, and sign off on production readiness.
•Team management: run a distributed QA team across SF and offshore locations, assign work, review results, set standards, and align across time zones.
•Bug triage and reporting: classify, prioritize, and document defects so engineering can reproduce and fix issues efficiently.

Pay and Benefits

Salary: USD 160,000 - 230,000 annually

Equity and Bonus:Equity

Perks:Dinner StipendWellness Stipend401kCommuter BenefitsMedical CoverageDentalVision

Key Requirements

•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.

Experience:7+ yearsAIConversational AISaaSEnterprise software

Skills:CommunicationLeadershipProblem-solving

Company Brief

Giga

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Founded: 2023

Website LinkedIn