Vapi

AI

MemberofTechnicalStaff,QA

$180–280k San Francisco, California, United States; New York City, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Member of Technical Staff, QA at Vapi. Skills: QA, SDET, Test Engineering, e2e framework, TypeScript, JavaScript, complex distributed systems, AI coding agents. Build and deploy real assistants on Vapi. Run live calls and simulations across provider integrations (LLMs, STT, TTS, telephony)”

What You'll Achieve.

Have outsized impact on what our customers experience every day; Own end-to-end quality across that surface; Meaningfully improve automated coverage in your area; Have the automation suite meaningfully larger on your watch

Industry & Context.

AI
Problems you'll solve

Track record testing complex, distributed systems with real failure modes — APIs, integrations, real-time behavior, anything where "correct" isn't a fixed string; Develop a working point of view on where our coverage is weakest

What They're Looking For.

Must Have

5+ years in QA, SDET, Test Engineering, or product engineering with a testing focus, Hands-on with at least one modern e2e framework — Playwright Cypress, Selenium, or equivalent are fine, Comfortable reading and writing TypeScript / JavaScript well enough to extend our test suite and file bugs with a hypothesis attached, Track record testing complex, distributed systems with real failure modes — APIs, integrations, real-time behavior, anything where "correct" isn't a fixed string, Daily use of AI coding agents (Claude Code, Cursor, or similar) with opinions about where they help and where they don't, Self-directed: you read the PR, open the product, and start finding what's broken without waiting for a spec, written communication, especially in bug reports and test plans, Customer empathy and a bias for action: you ship, you own outcomes, and you care what users actually experience

Nice to Have

Background in voice AI, conversational AI, LLM applications, or telephony, Experience with LLM evals or testing non-deterministic systems, Worked on a developer-facing product — APIs, SDKs, dashboards — where the audience is technical, Early-stage startup comfortable with ambiguity and shifting priorities, Open-source contributions or public writing on testing, evals, or QA practice

What You'll Do.

Build and deploy real assistants on Vapi

Run live calls and simulations across provider integrations (LLMs

Get up and running in existing e2e test framework

Ship Playwright tests against the dashboard

Develop a point of view on coverage weaknesses

Own release testing for major product areas

Earn engineers' trust to gate product areas

Improve automated coverage

Partner with engineers on test strategy for new features

Use AI coding agents to multiply throughput on test scenarios and regression coverage

Operate as a full peer to engineers

Own QA across the product surface without handholding

Extend testing practices

Contribute patterns the team picks up

Be involved in new features from the start

How You'll Work.

Team & Collaboration

Partner directly with engineers on a small team; Partner with engineers on test strategy for new features before they ship; Operate as a full peer to engineers on the team; Contribute patterns the rest of the team picks up

Communication Scope

written communication; bug reports; test plans

Full Job Description

VAPI (/ˈVⱭːPI/): We're creating the shift to voice as humanity's default interface.   - We're the most configurable platform for deploying voice agents. - 1M+ developers build on Vapi, and we power 1M+ calls a day for companies like Amazon, Intuit, and New York Life. - We just announced our Series B and are based in San Francisco. - Try talking to Vapi now! https://vapi.ai/   WHY WE’RE HIRING THIS ROLE: - Vapi is the platform enterprises use to build production voice agents, and our product surface is expanding fast to support the next billion calls. - We're hiring our first dedicated QA Engineer on the product team to own end-to-end quality across that surface. - This is a real ownership role: you'll work on the cutting edge of AI, define how we test a non-deterministic product, partner directly with engineers on a small team, and have outsized impact on what our customers experience every day.   WHAT YOU’LL DO: - First 30 Days: - Build and deploy real assistants on Vapi, run live calls and simulations across our main provider integrations (LLMs, STT, TTS, telephony), and break the product in at least a few interesting ways. - Get up and running in our existing e2e test framework and ship your first Playwright tests against the dashboard. - File bugs that engineers fix, and develop a working point of view on where our coverage is weakest. - By 60 Days: - Own release testing for at least one major product area (assistant builder, simulations, monitoring, knowledge base, or versioning), and earn engineers' trust to gate it. - Meaningfully improve automated coverage in your area. - Partner with engineers on test strategy for new features before they ship. - Use AI coding agents to multiply your throughput on test scenarios and regression coverage. - By 90 Days: - Operate as a full peer to engineers on the team, owning QA across the product surface without handholding. - Extend our testing practices and contribute patterns the rest of the team picks up. - Be involved i

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