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Trust Wallet
Remote - Global
Source: Trust Wallet careers · View original posting
From Trust Wallet's posting. “We” and “our” refer to the employer.
Trust Wallet is the leading non-custodial cryptocurrency wallet, trusted by over 200 million people worldwide to securely manage and grow their digital assets. Our vision is to give individuals the freedom to own their assets, confidently participate in the future economy, and access opportunities that enhance their lives. Our mission is to be a trusted personal companion — helping users safely navigate Web3, the on-chain economy, and the emerging AI-powered future.
With support for over 10 million assets across 100+ blockchains, Trust Wallet offers a seamless, multi-chain experience backed by industry-leading self-custody technology, a vibrant community, and a growing ecosystem of partners.
Own the data platform roadmap - Define and deliver the product roadmap for our data platform — covering data ingestion, on-chain data parsing, metrics frameworks, data-as-a-service, and data asset management — turning scattered data capabilities into reusable platform products.
Build on-chain data capabilities - Lead multi-chain data ingestion and parsing (EVM, Solana, Bitcoin, Cosmos, etc.). Define standardized parsing logic for transactions, transfers, contract calls, and DeFi interactions. Drive the buildout of address labels, protocol labels, and transaction attribution.
Own token and market data - Own the selection and governance of token metadata, pricing, and liquidity data sources. Establish source priority, fallback, and cross-validation mechanisms across CEX, DEX, third-party aggregators, and in-house indexers. Be accountable for data accuracy, coverage, and latency.
Serve downstream consumers - Partner with business, growth, risk, and BI teams to package data capabilities into APIs, datasets, and self-serve analytics tools that cut the cost of getting answers.
Data quality and governance - Build monitoring, metric definition management, and incident response processes. Eliminate the "same metric, five definitions" problem.
Cross-functional execution - Work closely with data engineering, backend, algorithm, and BI teams on requirement breakdown, prioritization, and delivery.
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