We are looking for a highly analytical and technically strong Product Manager to lead the end-to-end development of our Order Matching & Liquidity Infrastructure, This role is ideal for someone who understands how professional trading venues operate—across CLOB (central limit order books), market makers, liquidity providers (LPs), and prime brokerage flows.

You will define product strategy and execution for mission-critical components such as the matching engine, liquidity layer, quoting APIs, risk management pathways, and MM/LP connectivity. This is a high-impact, high-ownership role working with cross-functional teams, including engineering, quant, BD, and compliance to build a world-class trading platform.

Key Responsibilities

1. Order Matching & Core Trading Infrastructure

• Own product roadmap for order matching engine, CLOB mechanics, tick sizes, matching algorithms (price-time priority, pro-rata, hybrid models).
• Define product requirements for order lifecycle flows: placement, amendment, cancellation, partial/complete fills, and detailed documentation to support implementation and iteration.
• Collaborate with engineering to design high-throughput, low-latency systems that meet institutional trading standards.

2. Market Maker & Liquidity Provider Integrations

• Build MM/LP connectivity through FIX/WebSocket APIs; define quoting, RFQ, and streaming liquidity requirements.
• Develop incentive structures, maker rebates, and routing logic to optimize liquidity depth and spread.
• Work closely with market-making partners (e.g., Wintermute, GSR, Flow Traders) to ensure stable, competitive liquidity.

3. Prime Brokerage & Institutional Flows

• Design flows for margin & collateral management, credit lines, auto-borrowing, settlement, modeled after prime brokers.
• Define internal and external connectivity for smart order routing (SOR), cross-venue execution, and liquidity aggregation.

4. Risk, Compliance & Safeguards

• Work with risk teams to define real-time monitoring, circuit breakers, throttling, position limits, and liquidation buffers.
• Ensure product features comply with MiCA, MAS, and global digital asset regulatory expectations.

5. Digital Asset Trading Innovations

• Work with engineers to explore or design order book models, rollup-based matching, hybrid settlement, and MEV-aware execution.
• Based on trading users' needs, design trading AI agents efficient for particular market situations.
• Understand account abstraction wallets, gas-optimized settlement, and related technical patterns.

6. Data, Metrics & Performance Optimization

• Define and monitor KPIs such as spread, depth/volatility, fill-rate, order rejections, system TPS/latency.
• Partner with quants to run simulations and backtests to optimize matching policies and liquidity configurations.