Remote C-Suite Engineer

3 weeks ago


Dubai, Dubai, United Arab Emirates Tria Full time

The challenge to get involved in Web3 is quite high. It entails numerous crypto wallets, blockchains, intricate processes, and a cumbersome user experience that both Web3 natives and newcomers struggle with. The steep learning curve and overwhelming nature of the environment can deter novice users from delving into the realm of Web3.


Tria is paving the way for billions to transition to Web3 using universal identities, replacing cumbersome crypto wallets. Threely offers versatile usage across 300+ chains as a DID for transactions, logins, and sharing zkKYC, featuring privacy-enhancing ZK technology and multi-chain account abstraction. Essentially, we serve as a comprehensive Web3 infrastructure. Tria not only envisions a future where Web3 is inclusive for all but actively works towards it. We are dismantling barriers and developing products to facilitate a seamless and user-friendly Web3 experience that feels familiar.


About the Team

Operating discreetly, Tria is supported by prominent VCs in the Web3 sector. Joining Tria means becoming a vital member of our founding team, collaborating with individuals deeply immersed in the crypto sphere since 2014 with early-stage successes. The team boasts experience with Ethereum Foundation, ETHC, Litecoin, Binance, and Blackrock, as well as being the originators of Polygon's Native Accelerator. Alumni of UPenn, INSEAD, IIT, IIM, and BITS.


Qualifications

Over 5+ years of expertise in leading web2 or web3 enterprisesGraduated from esteemed Tech institutions (MIT, Stanford, UCB, etc)(Essential) Proficiency in AI and ML(Desirable) Published research papers(Desirable) Understanding/Experience of zero-knowledge technology


Responsibilities

As there won't be a fixed job description due to numerous trials and errors, this position offers the opportunity to be part of a team constructing Web3's primary AI-engagement protocol enhanced by aggregated zk-reputation. Key aspects you will be involved in:

Developing Reputation Engine and Dynamic Reputation GraphCreating Aggregated Zk-profiler and zk-identityEstablishing Federated AI LearningConstructing Dynamic AI-Engagement Protocol
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