AI & Automation Lead; on-site or remote

Position: AI & Intelligent Automation Lead (on-site or remote) Location: Zürichhorn

Location: Remote, local to regional Keyrock hub locations About Keyrock

Since our beginnings in 2017, we’ve grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.

Today, we partner with over 180 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from self-taught DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, and Singapore, and host regular online and offline hangouts to keep the crew tight.

We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks.

But we’re more than a service provider. We’re an initiator. We’re pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry’s progress with our research and governance initiatives.

At Keyrock, we’re not just envisioning the future of digital assets. We’re actively building it. Mission statement

We are looking for a dedicated, technically experienced AI & Intelligent Automation Lead/Product Manager to join our growing team, focused on pioneering the integration of AI and intelligent automation within our core operations and strategic initiatives. This role is pivotal in shaping how we augment human capabilities with AI, driving significant advancements in productivity, efficiency, and decision-making across the organization.

You’ll be responsible for identifying, developing, and launching innovative AI-powered solutions that directly impact our market-making activities, risk management, and operational processes. This includes, but is not limited to, leveraging LLMs and other relevant AI/ML technologies, Multi-Agent Coordination and Planning (MCP), and advanced data analytics (e.g. towards context engineering), to create tools and systems that empower our teams, to automate and accelerate value creation.

Keyrock Product Managers are responsible for developing valuable and viable systems (and implicit services) that consider the voices of

• Business & Commercial teams,
• Trading & Research teams,
• And Engineering builders.

In this way, a level of ‘trilingual’ competency - to be able to perform just enough research - is required for the role. Responsibilities

• Product Strategy & Vision: Define and articulate the product vision, strategy, and a roadmap for AI and intelligent automation initiatives, aligning with Keyrock’s overall business objectives and technology strategy.
• AI Application & Automation: Drive the practical application of AI by identifying key use cases and working closely with engineering teams to integrate LLMs , MCP , and other state-of-the-art automation technologies into existing and new products, after prioritising.
• Technology Integration: Oversee the end-to-end integration of AI models and tools into Keyrock’s existing technological ecosystem, ensuring seamless operation, scalability, and maintainability, through use case definition, documentation, and driving QA.
• Financial Context & Time Series Data: Leverage your understanding of financial markets and expertise in time series data manipulation to identify opportunities for AI to enhance trading strategies, risk prediction, and operational insights.
• Human-AI Teaming & Productivity: Champion a vision for accelerating human-AI collaborative intelligence applications . This involves discovering & designing products that enhance teams’ decision-making, automate repetitive tasks, and create efficient and valuable workflows between human operators and intelligent systems.
• Process & Capability Shaping: Actively shape organizational processes, standards, and capabilities related to AI development and deployment. This includes defining, promoting, and iterating best practices for data governance, model…