Base Chain Partnership Manager
Base is planning to bring a million developers and a billion users onchain. We need your help to make that happen.
We believe that the onchain platform is the most important builder platform since the internet ("online"). We believe that the onchain platform should be open source, free to use, and globally available. And we believe that in order to make it really work, we need all hands on deck, working together to scale in a secure, decentralized, easy-to-use way.
Base is incubated within Coinbase and plans to progressively decentralize in the years ahead. We believe that decentralization is critical to creating an open, global crypto economy that is accessible to everyone.
Base is built on Optimism's open-source OP Stack. We're joining as the second Core Dev team working on the OP Stack to ensure it's a public good available to everyone; and contributing a portion of sequencer revenue to funding public goods.
Supporting Infrastructure and Consumer partnerships / alliances across Base Chain, Base App, Base Pay, Base Build and Spindl.
Partnering to create GTM strategies that help enshrine Base as the preferred app, network and platform for creators, brands, enterprises, developers and users.
Building and maintaining productive relationships with internal stakeholders and external partners.
5+ years relevant experience in technology, finance (e.g. Corporate Development, investing) or consulting with a proven track record of deal execution (e.g. M&A, investments, large partnerships).
An unrelenting passion for onchain apps / platforms and a robust onchain resume.
A results-driven mindset with humility and self-awareness.
Experience executing complex transactions and managing multiple projects across internal and external stakeholders through clear communication, strong analytical skills (qualitative and quantitative), organization and a constant focus on operational excellence.
Pay Range : $135,320-$159,200 USD
Commitment to Equal Opportunity
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AI Disclosure
For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and / or transcript, to assess them against the qualifications and characteristics outlined in the job description.
Ecosystem • Bismarck, ND, US