YZi Labs has launched YZi Talent, a recruitment platform that aggregates open roles from its Web3, artificial intelligence and biotechnology portfolio, starting with senior engineering and business leadership positions at predict.fun and AgriDynamics Robotics.
Summary
- YZi Talent centralizes hiring for YZi Labs’ portfolio across Web3, AI and biotech
- Initial roles include Backend Chief Engineer at predict.fun and founding leadership at AgriDynamics Robotics
- The platform builds on YZi Labs’ multi vertical investment push beyond pure Web3
In an official X post, YZi Labs announced the debut of YZi Talent as a dedicated recruitment platform “integrating open positions in Web3, AI, and biotechnology from its portfolio,” positioning it as a single entry point for candidates who want to work at the intersection of those three domains.
The first batch of postings highlighted in the announcement includes a Backend Chief Engineer position at predict.fun, a Frontend Staff Engineer role, and a Founding Business Leader role at AgriDynamics Robotics, a robotics venture focused on applying AI and automation to agriculture.
What is YZi Talent and which roles are live at launch?
Earlier materials from YZi Labs’ EASY Residency cohorts show both predict.fun and AgriDynamics among the companies the firm has backed: Weex’s coverage of the Season 2 portfolio lists predict.fun as “a prediction market enhancing liquidity with DeFi” and AgriDynamics as an agri robotics project working with fruit harvesting and automation.
Job listings circulated on third party sites for similar YZi Labs roles suggest the type of profiles YZi Talent is targeting.
For example, a Web3 Researcher role description notes that candidates are expected to “conduct comprehensive research on Web3 technologies, trends, protocols, and innovations” and “identify and evaluate Web3 talents, including blockchain researchers, developers, and entrepreneurs, for potential investment or collaboration,” blending technical depth with investment facing responsibilities.
A separate LinkedIn update from YZi Labs outlines broader hiring needs inside the lab itself, including Investment Directors for Web3, an Investment Associate with banking or private equity background, a Portfolio Management Lead, go to market experts, and dedicated recruiters, all framed around “backing the next generation of founders shaping Web3, AI, and biotech.”
YZi Talent is effectively the portfolio side complement to that in house hiring push, giving founders in the lab’s ecosystem a shared distribution channel for attracting senior engineers, researchers and operators.
How does YZi Talent fit into YZi Labs’ broader thesis?
YZi Labs presents itself as a frontier technology investor “at the intersection of Web3, AI, and biotech,” a positioning that has been reinforced over the past 18 months as it expanded beyond its roots as Binance Labs and brought in new general partners to drive biotech and AI exposure.
A March 2025 report on crypto.news described how YZi Labs appointed Jane He as a general partner to lead its biotechnology investments, noting that the firm was “actively seeking visionary founders driving technological advancements in Web3, AI, and biotech,” and pointing to deals in decentralized science and data sharing as early examples.
By December 2025, YZi Labs had announced investments in seventeen new projects focused specifically on those three verticals, a lineup that included AgriDynamics in agricultural robotics, predict.fun in prediction markets, Trellis Robotics in soft robotics, and Ethena Labs in synthetic dollar infrastructure.
In blog posts and conference talks, YZi Labs partners have argued that the “triple frontier” of AI, Web3 and biotech will generate new categories of applications, from tokenized data markets for medical records to AI driven on chain trading tools and robotic systems that rely on decentralized coordination.
A YouTube talk by Jane He at the DeSci Summit in Dubai framed it this way: combining AI, blockchain and healthcare can “help people share health data safely without giving up control,” allowing them to “stay anonymous, give consents through smart contracts and even get paid with tokens for helping out training a great AI model,” which she described as a “super powerful combo.”
YZi Talent slots into that thesis as infrastructure for a different bottleneck: people.
Rather than each portfolio company building its own recruiting funnel from scratch, the platform lets YZi Labs surface cross cutting job opportunities to a community of candidates who already buy into the idea that Web3, AI and biotech are converging, making it easier to match specialized engineers and operators with frontier projects that might otherwise be hard to discover.
Given the pace at which the firm has been deploying capital into new projects and follow on rounds, as seen in its support for Ethena Labs and Better Payment Network, the move to formalize a shared talent platform is a logical next step in building an ecosystem that can scale beyond capital into operational support.
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