Product Manager AI & Intelligent Automation

Product Manager, AI & Intelligent Automation

Location: Remote, local to regional Keyrock hub locations

About Keyrock

Since our beginnings in 2017, weve grown to be a leading changemaker 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 selftaught 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 wellestablished market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, highfrequency trading, OTC, and DeFi trading desks.

But we’re more than a service provider. We’re an initiator. Were 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 industrys progress with our research and governance initiatives.

At Keyrock, were not just envisioning the future of digital assets. Were actively building it.

Mission statement

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 decisionmaking across the organization.

Youll be responsible for identifying, developing, and launching innovative AIpowered solutions that directly impact our marketmaking activities, risk management, and operational processes. This includes, but is not limited to, leveraging LLMs and other relevant AIML technologies, MultiAgent 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

1. Business & Commercial teams,

3. Trading & Research teams,

5. And Engineering builders.

6. 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 Keyrocks 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 stateoftheart automation technologies into existing and new products, after prioritising.

   • Technology Integration: Oversee the endtoend integration of AI models and tools into Keyrocks 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.

   • HumanAI Teaming & Productivity: Champion a vision for accelerating humanAI collaborative intelligence applications. This involves discovering & designing products that enhance teams’ decisionmaking, 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 crossfunctional 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 AIpowered 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.

   • Essentials

     • Experienced Product Leader: 5+ years of product management experience, with a proven track record of successfully launching and scaling complex technology products.

     • AIML 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 fastpaced, highly collaborative environment.

     • Problem Solver: Analytical and datadriven approach to problemsolving, with a keen eye for identifying opportunities for automation and efficiency.

     • Entrepreneurial Spirit: Selfstarter with a proactive and innovative mindset, comfortable operating in a dynamic and evolving industry.

     • Beneficial experience

       • 3+ years experience working in a financial services context

       • Strong grasp of the technologies underpinning recent AI developments

       • An existing portfolio of AIcentric productivity solutions

       • An existing portfolio of product prototypes, with rationale of value for each

       • Exposure to digital assets, financial trading industry, or financial services contexts.

       • 
         Hiring process
         

         • People & Talent team screening call

         • Hiring Manager Interview

         • Recruitment Challenge

         • Final Interview)s) (12) with (an) executive stakeholder(s)

         • Our recruitment philosophy

           We value selfawareness in our recruitment process. We seek people who understand themselves and their career goals. Were after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, and delivers solid, scalable outcomes.

           Why Keyrock?

           • Be at the forefront of innovation in digital assets and AI.

           • Work on challenging problems with a direct impact on the business.

           • A competitive salary package, with various benefits depending on the method of engagement (employee or freelancer).

           • Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely

           • The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence

           • As an employer we are committed to build an inclusive, diverse and nondiscriminating work environment. We welcome employees of all backgrounds, ethnicities, genders, creed and sexual orientation. We hire, reward and promote entirely based on merit and performance.

             Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.