Product Manager - Algorithmic Strategies

Product Manager - Algorithmic Strategies

Join to apply for the Product Manager - Algorithmic Strategies role at 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 rock with over 180 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from 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 initiators, 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, upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols, and 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.

We’re looking for a hands‑on Product Manager to lead the squad building Keyrock’s algorithmic trading platform, the core systems that enable our market making, arbitrage, and basis trading strategies to scale across exchanges and asset classes.

This role sits at the intersection of quantitative trading, software engineering, and product leadership. You’ll translate trader and researcher needs into robust, flexible systems that empower strategy innovation and improve execution quality. You’ll define and deliver products that help quants codify, test, and deploy systematic strategies efficiently, while ensuring tight integration with our trading stack and exchange infrastructure.

If you thrive at the crossroads of code and markets, and understand how exchange mechanics, liquidity, and latency shape profitability, this is your chance to help build the next generation of algorithmic trading technology.

• Own the product vision, roadmap, and execution for the Algorithmic Strategy Tooling squad, enabling rapid development and deployment of quantitative strategies.
• Collaborate closely with traders, quantitative researchers, and engineers to define system requirements for market making, arbitrage, basis, and other algorithmic strategies.
• Translate high‑level strategy concepts into structured, production‑ready tooling including simulation frameworks, execution engines, signal orchestration, and monitoring.
• Partner with engineering to design APIs, services, and data pipelines that integrate seamlessly with order management, risk, and exchange connectivity layers.
• Prioritize initiatives that improve strategy velocity, reliability, and performance across centralized and decentralized exchanges.
• Define key product metrics such as strategy deployment latency, fill efficiency, and PnL attribution accuracy, and use them to drive iteration.
• Act as the internal product advocate, aligning business goals, trading performance objectives, and engineering constraints.
• Contribute to long‑term architecture discussions to ensure scalability, modularity, and maintainability of strategy infrastructure.

• Proven track record as a Product Manager in algorithmic or systematic trading, market making, or crypto trading.
• Must have hands‑on experience implementing or managing codified trading strategies, ideally in crypto or high‑frequency environments.
• Strong technical understanding of exchange mechanics, order book microstructure, latency optimisation, and execution algorithms.
• Solid grasp of Python, Rust, or C++, and the software development lifecycle, able to discuss implementation details with engineers and quants alike.
• Experience collaborating with quant researchers, traders, and infrastructure teams to define and deliver trading…