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Stellar Development Foundation
Product Manager Data
about 1 month ago | 167 views | 2 applications

Product Manager Data

New York
Per year
$130,000 To $160,000

About the company

Interested in working on cutting-edge blockchain technology and creating equitable access to the global financial system? Since 2014, the mission-driven team at the Stellar Development Foundation (SDF) has helped fuel the tremendous growth of the Stellar blockchain network, an open-source platform that operates at high-scale today. Developers and companies around the world build on it, and the SDF team is expanding to support the rapidly growing and changing Stellar ecosystem. The launch of Soroban, the new smart contracts platform designed to work well with Stellar, brings a wealth of opportunity for innovation. When you join SDF as a Community Manager, you will be a part of a team that’s leveraging that opportunity to increase developer participation in order to bootstrap the ecosystem of tools, protocols, dapps, and educational resources necessary for Soroban to succeed.

Job Summary

In this role, you will:

📍Build an understanding of the entire breadth of data use cases on the network, by working with large financial institutions, global NGOs, decentralized protocols and small start ups building applications. 📍Understand their diverse needs so that you can act as their voice and champion as we work with the community to build new tools and standards. 📍Build and prioritize a roadmap which accounts for the needs of this diverse group of stakeholders alongside the broader objectives of the organization. 📍Be an advocate for your products, roadmap and the customers they support across the org, Stellar community and broader industry.

You have:

📍2+ years of PM experience working on multi-user software applications 📍Experience delivering API, CLI or library driven products that are well documented and provide a great experience for developers 📍The ability to apply user insights and data analyses to inform product decisions 📍Familiarity with modern data architectures and data movement patterns

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