Senior Product Manager - Algorithmic Trading

Kraken is a mission-focused company dedicated to accelerating the global adoption of crypto and blockchain technology. They are seeking a Senior Product Manager to lead the Algorithmic Execution & Strategy Engine, focusing on developing innovative execution algorithms and enhancing the trading experience for institutional clients. The role involves collaborating with various teams to ensure the platform meets the needs of both human traders and AI agents.

Responsibilities:

• Own and drive the roadmap for Kraken’s Algorithmic Execution & Strategy Engine, defining the multi-year vision and aligning it with Kraken’s institutional and pro-trading growth strategy
• Design and deliver new execution algorithms — TWAP, VWAP, Implementation Shortfall, Participation, scaled orders, and conditional order flows — drawing on deep knowledge of TradFi execution best practice
• Build out the strategy construction interface — a programmable layer that allows professional traders and institutions to compose, test, and deploy execution strategies without writing code
• Own the API and FIX protocol specification for programmatic access to the algo engine, working closely with engineering and client solutions to ensure low-latency, high-reliability access for institutional clients
• Define transaction cost analysis (TCA) and execution quality frameworks; work with the data science team to instrument, measure, and continuously improve execution performance
• Establish the agentic integration framework: design the interfaces and capability set that allow AI trading agents to interact safely and effectively with Kraken’s execution infrastructure
• Partner with Quant Research and Engineering to evaluate and integrate ML/AI-driven enhancements to the execution stack, including adaptive routing and predictive scheduling
• Engage directly with institutional clients, prime brokerage relationships, and professional traders to surface execution needs and translate them into product requirements

Requirements:

• 5+ years of product management experience, with at least 2 years in an electronic trading or algorithmic trading environment (investment bank e-trading desk, HFT firm, quant hedge fund, or equivalent)
• Deep domain knowledge of execution algorithms: TWAP, VWAP, Implementation Shortfall, Percentage of Volume (POV), and smart order routing logic
• Strong understanding of market microstructure: order book dynamics, venue selection, lit vs. dark execution, latency arbitrage, and market impact modelling
• Quantitative confidence: fluent in TCA methodology, slippage analysis, fill rate analysis, and execution quality benchmarking
• Proven track record of shipping high-quality execution or trading infrastructure products — not just roadmaps, but products that are live, used, and measured
• Experience working with institutional or professional trader segments; able to hold credible, technically deep conversations with quant PMs, execution traders, and CTOs
• Strong grasp of regulatory requirements governing electronic and algorithmic trading (MiFID II / RTS6, CFTC, or equivalent)
• Exceptional communication skills: able to distil complex execution mechanics for non-technical stakeholders and translate vague institutional client needs into precise engineering requirements
• Crypto-native experience: trading on crypto exchanges, familiarity with crypto market microstructure, or prior crypto product role
• Experience building or integrating with AI/ML-driven execution systems, adaptive algorithms, or agentic trading platforms
• Exposure to DeFi execution mechanics: DEX aggregators, AMMs, cross-chain routing, and on-chain order flow
• Experience with no-code / low-code strategy builders or visual workflow tools for quantitative trading