Commission Metamask Jobs (NOW HIRING)

Overview

We are seeking a QA Automation Engineer to own the quality engineering function end-to-end. In this role, you will be responsible for designing automation frameworks, setting standards, and embedding quality into every step of the development lifecycle. As a core member of the team, you will not be a seat at the back of the sprint, but will work closely with engineers, product, and design to ship reliable, production-grade Web3 experiences. Mesh is a global company with headquarters in San Francisco, California USA. This candidate will work closely with the Engineering and Product teams spread across North America, Europe and India.

What You'll Do

• Architect, build, and maintain robust end-to-end test automation frameworks using tools like Playwright.
• Design test strategies that cover the full stack: UI, API, smart contract interactions, and wallet flows
• Write and maintain tests for Web3-specific user journeys including wallet connection, transaction signing, contract interactions, and on-chain state verification
• Integrate automated test suites into CI/CD pipelines and own the health of those pipelines
• Leverage AI-powered development tools (Copilot, Cursor, Claude, etc.) to accelerate test authoring and framework development, and bring strong opinions on how to do this well
• Identify gaps in test coverage, prioritize ruthlessly, and drive continuous improvement
• Champion quality culture across the engineering org
• Stay ahead of the curve on new testing tools, frameworks, and Web3 ecosystem shifts

Who You Are

Automation Expertise

• 7+ years of experience in QA engineering with a strong focus on automation
• Deep hands-on experience with Playwright and/or Cypress; familiarity with others (WebdriverIO, Selenium, Puppeteer) is a plus
• Proficiency in at least one scripting/programming language (TypeScript, JavaScript, Python)
• Experience designing and scaling test frameworks from the ground up, not just maintaining existing ones
• Strong understanding of CI/CD practices and integrating tests into pipelines (GitHub Actions, CircleCI, etc.)

Web3 Knowledge

• Working knowledge of core Web3 concepts: wallets (MetaMask, WalletConnect), transaction signing, smart contracts, gas, RPC endpoints, and on-chain/off-chain interactions
• Experience testing dApps and writing tests that interact with or simulate blockchain state
• Familiarity with testnets or mocking Web3 providers is a strong plus

AI-First Mindset

• Active, hands-on user of AI code generation and developer tools (e.g., GitHub Copilot, Cursor, Claude, ChatGPT)
• You have real opinions on where these tools shine and where they fall short - you've found the edges
• You use AI to move faster without sacrificing rigor, and you can teach others to do the same

The Right Mentality

• Self-starter who identifies problems and drives solutions without waiting to be asked
• Comfortable with ambiguity and able to operate effectively in a fast-paced, resource-constrained startup environment
• Curious by default, you read release notes, follow ecosystem developments, and enjoy going deep on new tools and technologies
• Clear communicator who can translate quality risk into terms the whole team understands

• Prior experience at an early-stage or growth-stage startup
• Exposure to performance, load, or security testing in Web3 contexts
• Contributions to open-source testing tools or frameworks
• Familiarity with blockchain explorers, event indexing, or subgraph testing

The annual base salary range for this role is $100,000-$200,000 in San Francisco and New York. The compensation range provided may span multiple career levels and will be narrowed during the interview process based on factors including a candidate's experience, skills, qualifications, and geographic location. For candidates outside of San Francisco and New York, compensation will be adjusted to reflect the applicable market and location-based pay band. The base salary range listed excludes commission (if applicable), equity, and benefits. The pay range represents the minimum and maximum target for new-hire compensation. Actual compensation may vary and may be higher or lower depending on individual circumstances.