Jobs at Hypernative

The Senior Product Marketing Manager will lead product launches, create content, drive market intelligence, and enhance customer engagement strategies.

As the sole in-house counsel, you will lead legal matters, draft agreements, advise on regulations, and build legal processes. Partner with various teams to support business growth in a fast-paced environment.

The Backend Infrastructure & Data Engineer will design, build, and maintain scalable data systems, manage cloud infrastructure, and develop efficient data pipelines for a fast-paced Web3 security startup.

The Senior Account Executive will drive business development, manage client relationships, and develop sales strategies in the APAC region.

The Sales Engineer will lead technical aspects of high-value sales, collaborate with teams on demos and RFPs, and engage with clients in the Web3 and financial sectors.

The Senior Backend Software Engineer will develop core system logic using Web3 data, enhancing risk insights while collaborating with a dynamic team in a startup environment.

The Senior Product Marketing Manager will oversee go-to-market strategies for new products, create marketing content, lead customer communication efforts, and drive market intelligence research to enhance product adoption and customer satisfaction.

The DevOps Tech Lead will design and manage cloud infrastructure on AWS and GCP, develop CI/CD pipelines, enhance service performance, monitor system health, and manage security practices.

The Senior Full Stack Engineer will own the end-to-end flow of the WebApp, collaborating with teams to deliver features and contribute to architecture and vision.

The Technical Customer Support Specialist will manage customer inquiries, troubleshoot issues, and collaborate with teams to improve customer experience on Hypernative's platform.

Design, implement, and maintain real-time blockchain detection systems. Analyze large datasets, develop and test heuristics and scoring logic, investigate incidents, and partner with researchers to operationalize and tune production detection modules.

Conduct deep investigations across web and blockchain sources, analyze large datasets with Excel/SQL/Python, leverage AI tools to identify fraud patterns, and collaborate with Product, Research, and Engineering to improve detection capabilities.