Product Manager, Keyrock

• Experienced Product Leader: 5+ years of product management experience, with a proven track record of successfully launching and scaling complex technology products
• AI/ML Expertise: Demonstrated experience with Artificial Intelligence and Machine Learning, with a particular emphasis on practical application of LLMs, MCP, and other advanced automation paradigms. Relevant portfolios welcome
• Technical Acumen & Data Engineering: Strong technical understanding of software development, data architectures, and API integrations. “Just enough” level of experience in data engineering, including building and maintaining data pipelines, is highly valued. Ability to engage in technical discussions with engineering teams
• Financial Domain Exposure: Prior exposure to financial contexts, market data, and time series data manipulation is highly desirable. Experience in fintech, trading, or quantitative finance is a significant plus
• Strategic & Pragmatic Thinker: Ability to articulate a clear product vision and translate it into actionable strategies and roadmaps, starting from simple, fast, proofs of concept
• Process & Organisational Design: A strong desire to influence and shape organisational processes and capabilities, driving the adoption of new technologies and ways of working
• Collaborative & Communicative: Excellent communication, interpersonal, and stakeholder management skills. Ability to work effectively in a fast-paced, highly collaborative environment
• Problem Solver: Analytical and data-driven approach to problem-solving, with a keen eye for identifying opportunities for automation and efficiency
• Entrepreneurial Spirit: Self-starter with a proactive and innovative mindset, comfortable operating in a dynamic and evolving industry

Desirable

• We are looking for a dedicated, technically experienced 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 (& 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
• 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 validation, and responsible AI usage, in conjunction with governance teams for relevant areas
• Stakeholder Collaboration: Work closely with cross-functional teams including Commercial, Trading, Research, Engineering, Operations, and Compliance to discover opportunities, gather requirements, define product specifications (with Engineering), and ensure successful product delivery that complies with the needs of regulatory and control functions
• Market & Technology Research: Stay abreast of the latest advancements in AI, machine learning, data engineering, and automation, identifying emerging technologies and trends that can be leveraged to create competitive advantages
• Performance & Impact Measurement: Define key metrics and KPIs to measure the success and impact of AI-powered products, iterating based on data and feedback. Be able to identify why one piece of work is prioritised over another through (simple) models of impact

• People & Talent team screening call
• Hiring Manager Interview
• Recruitment Challenge
• Final Interview)s) (1-2) with (an) executive stakeholder(s)