Top Technology Jobs & Startup Jobs in Sydney

Own the vision, strategy, and roadmap for CoinMarketCap’s on-chain data products. Responsibilities include writing product requirements and user stories, analyzing qualitative and quantitative data, collaborating with business, IT, and design stakeholders, evaluating launched features, and assessing competitors and partners. The role focuses on improving on-chain data infrastructure and integrating internal and third-party tools to create valuable products for cryptocurrency users.

Own end-to-end product design for Coinglass core products, including research, information architecture, interaction design, prototyping, UI design, and usability validation. Translate complex crypto and financial data into intuitive interfaces while supporting brand and marketing visuals. Collaborate with product, engineering, data, marketing, and growth teams; maintain design systems; and contribute to design reviews, hiring, and onboarding.

The DevOps Engineer designs and manages AWS cloud infrastructure, automates operations, develops CI/CD pipelines, and ensures robust monitoring and observability.

This role involves defining marketing objectives, driving strategies, empowering teams, and managing marketing efforts across multiple platforms to achieve growth.

As an Automation QA Engineer, you'll design and implement test frameworks for Oracle projects, focusing on automation testing for APIs and web interfaces, collaborating with development teams to identify and resolve defects.

Design and ship a 14-domain skills taxonomy and SDK/CLI tooling, operate the MCP server, integrate agent protocols, improve LLM grounding for crypto, run developer hackathons, and produce technical content to grow the ecosystem.

Lead marketing strategy and execution across product portfolios: translate objectives into campaigns, manage multi-channel workflows (social, web, chat, content, video), track performance and budgets, collaborate with Brand/PR and community teams, and support business development using data-driven insights and AI to scale adoption.