# QA Lead at Giga

- Company: Giga
- What the company does: Giga builds enterprise AI agents for customer support that resolve complex conversations across chat, voice, and email — deployed in weeks, human-like at scale. Backed by Y Combinator and Redpoint.
- Company website: https://giga.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Pay: $160K to $230K base salary per year (USD)
- Posted: 2026-02-20
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/gigaml/834fc9bf-fd1f-43f5-9bbe-1e1404d8b0e8
- Page: https://www.1752.vc/careers/jobs/giga-qa-lead/

## About 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.

## What they're looking for

- 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

Tags: Engineering