AI-Native Product Manager (Institutional Trading and Derivatives

Що робити

Product Ownership: Take complete end-to-end ownership of our white-label institutional trading, derivatives, and risk management infrastructure.
Agentic Workflow Integration: Leverage autonomous AI agents and MCP servers to automate complex product research, spec generation, QA verification, and client delivery workflows.
Institutional Client Rollout: Partner directly with institutional clients and B2B partners to deeply understand their trading workflows, capture complex requirements, and drive product adoption.
End-to-End Execution: Drive features through the complete lifecycle: discovery, system spec definition, hands-on engineering alignment, QA validation, launch, and post-launch analytics.
Data & Impact Analytics: Autonomously query databases (SQL) and analytics tools to track, measure, and optimize real client usage and performance metrics post-launch.

Agentic Workflows: Hands-on experience building or utilizing MCP (Model Context Protocol) integrations, autonomous loops, or computer/browser-use agents.
Execution & Leverage: Using AI as a force multiplier across all product phases—from automated code/spec reviews and workflow automation to deep data processing and client communication.
Technical Integrity: Using AI to elevate your productivity without substituting AI output for genuine domain expertise or critical engineering judgment.
Who You Are
Autonomous & Proactive: Capable of taking a broad product domain and generating tangible, visible value within your first 90 days without step-by-step guidance.