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Polygon Labs
Validator Engagement Specialist
about 1 year ago | 853 views | Be the first one to apply

Validator Engagement Specialist

Full-time
Remote

About the company

Polygon Labs develops Ethereum scaling solutions for Polygon protocols. Polygon Labs engages with other ecosystem developers to help make available scalable, affordable, secure and sustainable blockchain infrastructure for Web3. Polygon Labs has initially developed a growing suite of protocols for developers to gain easy access to major scaling solutions, including layer 2s (zero-knowledge rollups and optimistic rollups), sidechains, hybrid chains, app-specific chains, enterprise chains, and data availability protocols. Scaling solutions that Polygon Labs initially developed have seen widespread adoption with tens of thousands of decentralized apps, unique addresses exceeding 225 million, over 1.2 million smart contracts created and 2.56 billion total transactions processed since inception. The existing Polygon network is home for some of the biggest Web3 projects, such as Aave, Uniswap, and OpenSea, and well-known enterprises, including Robinhood, Stripe and Adobe. Polygon Labs is carbon neutral with the goal of leading Web3 in becoming carbon negative.

Job Summary

Job Responsibilities

📍Clean up and expand official validator documentation. 📍Create narrative-driven tutorials/educational walk-through content. 📍Monitor/support Discord and other social media platforms (Twitter, Reddit, etc) for validator and infrastructure-specific questions. 📍Identify pain points for validators and alleviate them through better content and community knowledge-building. Act as primary POC to ensure all Technical queries for Validator are solved. 📍Use community needs and feedback to help drive feature roadmap for validator client software.

Job Requirements

📍Experience with Linux systems & Very comfortable using command-line tools and utilities. 📍Ability to organise self and others. 📍Strong communication skills, oral and written. 📍Ability to decipher technical data and explain it in plain English. 📍Can prioritise workload and execute tasks accordingly and in line with industry best practices.

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