Overview

Keyrock City Of London, England, United Kingdom

Product Manager - AI & Intelligent Automation role at Keyrock. Location: Remote, local to regional Keyrock hub locations.

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 with hubs in London, Brussels, and Singapore. Our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks. We are pioneers in adopting Rust for algorithmic trading and support the growth of Web3 startups through our Accelerator Program.

We are actively building the future of digital assets and are seeking a dedicated, technically experienced Product Manager to join our team, focused on integrating AI and intelligent automation within core operations and strategic initiatives.

This role is pivotal in shaping how we augment human capabilities with AI, driving productivity, efficiency, and informed decision-making across the organization.

Responsibilities

• Product Strategy & Vision: Define the product vision, strategy, and roadmap for AI and intelligent automation initiatives aligned with Keyrock's objectives and technology strategy.
• AI Application & Automation: Identify key use cases and work with engineering to integrate LLMs, Multi-Agent Coordination & Planning (MCP), and other automation technologies into products, prioritising where appropriate.
• Technology Integration: Oversee end-to-end integration of AI models and tools into Keyrock's ecosystem, ensuring scalability, maintainability, and proper QA.
• Financial Context & Time Series Data: Apply knowledge of financial markets and time series data manipulation to identify opportunities for AI to enhance trading strategies, risk prediction, and operational insights.
• Human-AI Teaming & Productivity: Design products that accelerate human-AI collaboration, automate repetitive tasks, and improve workflows between operators and intelligent systems.
• Process & Capability Shaping: Shape processes, standards, and capabilities for AI development and deployment, including data governance, model validation, and responsible AI practices with governance teams.
• Stakeholder Collaboration: Work with Commercial, Trading, Research, Engineering, Operations, and Compliance to gather requirements, define specs, and ensure compliant product delivery.
• Market & Technology Research: Stay informed on AI, ML, data engineering, and automation advances to identify opportunities for competitive advantage.
• Performance & Impact Measurement: Define metrics and KPIs; iterate based on data and feedback and prioritise work based on impact models.

Essentials

• Experienced Product Leader: 5+ years in product management, with a track record of launching and scaling complex technology products.
• AI/ML Expertise: Experience with AI/ML, especially practical use of LLMs, MCP, and advanced automation. Portfolios welcome.
• Technical Acumen & Data Engineering: Strong understanding of software development, data architectures, and API integrations; experience with data pipelines is valued.
• Financial Domain Exposure: Desirable experience with financial contexts, market data, and time series data.
• Strategic & Pragmatic Thinker: Ability to translate product vision into actionable strategies and fast proofs of concept.
• Process & Organisational Design: Interest in shaping organisational processes for new technologies.
• Collaborative & Communicative: Excellent communication and stakeholder management in a fast-paced environment.
• Problem Solver: Data-driven with a focus on automation opportunities.
• Entrepreneurial Spirit: Proactive and innovative mindset in a dynamic industry.

Beneficial experience

• 3+ years in financial services context
• Strong understanding of technologies behind recent AI developments
• Portfolio of AI-centric productivity solutions
• Portfolio of product prototypes with value rationale
• Exposure to digital assets, financial trading, or financial services contexts

Hiring process

• People & Talent screening call
• Hiring Manager Interview
• Recruitment Challenge
• Final Interviews with executive stakeholders

Why Keyrock

• Be at the forefront of innovation in digital assets and AI
• Work on challenging problems with direct business impact
• Competitive salary package with benefits depending on engagement type
• Remote-friendly with flexible working hours
• Opportunity to contribute to an entrepreneurial, excellence-seeking team

As an employer we are committed to an inclusive, diverse and non-discriminating work environment. We hire based on merit and performance. Background checks are performed due to external requirements.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Product Management and Marketing