Full-Time

AI and Intelligent Automation Lead

Posted on 10/31/2025

Keyrock

Keyrock

201-500 employees

Liquidity provision through algorithmic trading

No salary listed

London, UK + 5 more

More locations: Paris, France | Dubai - United Arab Emirates | New York, NY, USA | Berlin, Germany | Sant Cugat del Vallès, Barcelona, Spain

In Person

Predominantly remote; hubs in London, Brussels, and Singapore.

Category
Product (2)
,
Required Skills
LLM
Machine Learning
DevOps
Requirements
  • 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.
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 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.
Desired Qualifications
  • 3+ years experience working in a financial services context
  • Strong grasp of the technologies underpinning recent AI developments
  • An existing portfolio of AI-centric 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.

Keyrock provides liquidity solutions for digital asset markets by using algorithmic trading and market making on both centralized and decentralized exchanges. Its tech places buy and sell orders automatically to tighten spreads and improve market liquidity, serving B2B clients such as crypto exchanges and blockchain projects. The system works by running proprietary algorithms that continuously quote prices and trade sizes, aiming to offer the best prices while minimizing market impact. Keyrock differentiates itself by operating across multiple venue types (CEXs and DEXs) and focusing on liquidity provision for its clients rather than just executing trades for themselves, enabling partners to run more efficient, better-funded markets. The company’s goal is to enable more liquid and efficient digital asset markets and to generate revenue by charging fees based on trading volume or assets under management, reflecting the value it adds to client ecosystems.

Company Size

201-500

Company Stage

Series B

Total Funding

$77.7M

Headquarters

City of Brussels, Belgium

Founded

2017

Simplify Jobs

Simplify's Take

What believers are saying

  • Series C funding from SC Ventures values Keyrock at $1.1B as of 2026.
  • Grown from 3 to 170+ employees since 2017 across 36 countries.
  • Launched US entity in 2026 to expand global digital asset services.

What critics are saying

  • Wintermute captures Keyrock's institutional clients on 100+ exchanges within 6-12 months.
  • SEC enforces against wash trading, suspending Keyrock on Binance and slashing 40% volume in 3-9 months.
  • Ripple launches in-house market making for XRP partners, reclaiming clients in 6-12 months.

What makes Keyrock unique

  • Keyrock integrates market making, OTC, options, and asset management across 80+ exchanges.
  • Acquired Fija Finance in 2026 to add DeFi yield vaults via smart contracts.
  • Acquired Turing Capital for $27.8M, launching institutional asset management division.

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Benefits

Flexible Work Hours

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Keyrock
Mar 31st, 2026
Keyrock Secures Series C Funding From SC Ventures - Keyrock

Keyrock has secured Series C funding led by SC Ventures, valuing the company at $1.1B

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Feb 24th, 2026
Keyrock acquires Munich fintech Fija Finance after 2023 seed investment

Keyrock has acquired Munich-based fintech startup Fija Finance, following a 2023 seed investment and accelerator programme participation. Fija Finance specialises in providing financial institutions with technology to generate yields from cryptocurrency holdings through decentralised finance strategies. The acquisition centres on Fija Finance's vault technology, which uses smart-contract-based capital pools to automatically manage digital assets according to defined strategies. The Munich startup's infrastructure will be integrated into Keyrock's core business, giving it access to a larger customer base and additional regulatory infrastructure. Fija Finance CEO Christoph Scholze said the merger would enable the company to scale its technology within a strong digital asset liquidity provider. Financial terms and details about the Munich location's future were not disclosed.

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