Senior Product Manager - Algorithmic Trading

Kraken is a mission-focused company rooted in crypto values, aiming to accelerate the global adoption of crypto for financial freedom and inclusion. It is a fully remote company with employees in over 70 countries, developing premium crypto products for experienced traders, institutions, and newcomers. Kraken is committed to industry-leading security, crypto education, and world-class client support through products like Kraken Pro, Desktop, Wallet, and Kraken Futures.

• 5+ years of product management experience, with at least 2 years in electronic or algorithmic trading environments (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 including order book dynamics, venue selection, lit vs. dark execution, latency arbitrage, and market impact modelling.
• Quantitative skills in TCA methodology, slippage analysis, fill rate analysis, and execution quality benchmarking.
• Proven track record of shipping high-quality execution or trading infrastructure products that are live, used, and measured.
• Experience working with institutional or professional trader segments; able to hold 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 to distil complex execution mechanics for non-technical stakeholders and translate vague client needs into precise engineering requirements.

Nice to have:

• Crypto-native experience including trading on crypto exchanges or familiarity with crypto market microstructure.
• Experience building or integrating AI/ML-driven execution systems, adaptive algorithms, or agentic trading platforms.
• Exposure to DeFi execution mechanics such as 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.

• Own and drive the roadmap for Kraken’s Algorithmic Execution & Strategy Engine, defining the multi-year vision aligned with institutional and pro-trading growth strategy.
• Design and deliver new execution algorithms such as TWAP, VWAP, Implementation Shortfall, Participation, scaled orders, and conditional order flows.
• Build out the strategy construction interface allowing professional traders and institutions to compose, test, and deploy execution strategies without coding.
• Own the API and FIX protocol specification for programmatic access to the algo engine, ensuring low-latency, high-reliability access for institutional clients.
• Define transaction cost analysis (TCA) and execution quality frameworks; collaborate with data science to measure and improve execution performance.
• Establish the agentic integration framework for 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 including adaptive routing and predictive scheduling.
• Engage directly with institutional clients, prime brokerage relationships, and professional traders to gather execution needs and translate them into product requirements.

Applicants may redact or remove information identifying age, date of birth, or educational attendance/graduation dates on their resumes. The company considers qualified applicants with criminal histories consistent with the San Francisco Fair Chance Ordinance. Kraken is an equal opportunity employer and does not tolerate discrimination or harassment based on protected characteristics as outlined by federal, state, or local laws.