AI-Native Product Manager (Institutional Trading and Derivatives
- Location
- Remote
- Employment
- Full-time
- Level
- Mid-level
- Category
- Data Science & ML
- Posted
- Deadline
Description
About the Company
Our client is a financial technology services provider dedicated to expanding global access to digital assets by building innovative solutions in the cryptocurrency ecosystem. Their products provide exchanges, liquidity solutions, prediction markets, and enterprise-grade white-label integrations for institutional clients worldwide.
We are looking for an exceptional, cutting-edge AI-Native Product Manager to own our core Institutional Trading & Derivatives product suite. This is an elite technical product role where deep financial domain mastery meets absolute state-of-the-art AI orchestration.
Key Pillars of Success
To excel in this role, you must bring a battle-tested foundation across three non-negotiable pillars:
Cutting-Edge AI-Native Execution: You don't just use ChatGPT or Claude for PRDs and prototyping. You operate with autonomous agents, MCP (Model Context Protocol) integrations, browser/computer use, and human-in-the-loop review loops to dramatically multiply your operational throughput.
Deep Trading & Derivatives Mastery: You possess a deep, structural understanding of institutional market mechanics, order lifecycles, margin systems, liquidation engines, funding rates, oracles, exposure, and hedging.
End-to-End Ownership & Measurable Impact: Your ownership doesn't end at handing docs to devs or launching on staging. You own the full lifecycle—from discovery, build, and QA to client rollout, adoption, and iteration—backed by self-derived, quantified metrics (e.g., SQL-verified impact).
What You'll Do
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.
Engineering & Business Alignment: Challenge technical and business assumptions constructively, maintaining direct, transparent communication across cross-functional engineering teams.
AI-Native Expectations
We are looking for candidates who operate at or above the absolute cutting edge of AI tooling:
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.
Transparent & Honest: Grounded in high integrity, objective self-awareness, and clear communication. You know your strengths, acknowledge knowledge gaps directly, and never bluff technical answers.
Systems Thinker: Comfortable reasoning about APIs, data flows, state machines, edge cases, and complex risk models alongside senior engineers.
Qualifications
English: Upper-Intermediate to Advanced (both written and verbal) for high-stakes institutional communication.
Experience: 4+ years of software product management experience, specifically within fintech, crypto trading platforms, or institutional finance.
Domain Expertise: Proven hands-on experience with institutional trading infrastructure, derivatives (perpetuals, futures, options), risk mechanics, margin, and liquidity.
B2B / Client-Facing Delivery: Demonstrated track record of launching white-label or enterprise B2B products directly for external institutional clients.
AI-Native Mastery: Practical, advanced usage of modern agentic AI tools and environments (MCP, Cursor, Claude Code, autonomous loops).
Data Competency: Solid experience writing SQL queries independently to measure feature performance, user funnels, and adoption metrics.
Bonus Points:
Software development or engineering background.
Direct experience running or supporting a trading desk, market-making operations, or liquidity adapters.
Deep knowledge of crypto-native derivatives protocols, Web3 infrastructure, or prediction markets.
We Offer
Flexibility & Hubs: Flexible working hours with physical office access in Ukraine and Poland (Wroclaw).
Health & Wellness: Medical Insurance in Ukraine and Multisport program in Poland.
Time Off: Paid vacation, sick leaves, and observance of official holidays.
Growth & Support: Corporate English classes up to three times a week, plus mentoring and educational budgets.
Contractor Support: Complete tax and accounting services provided for Ukrainian contractors.
Equipment: High-end hardware and development equipment provided by the company.
Culture: Regular corporate activities (team buildings, tech talks, parties) combined with an advanced bonus system.
Apply at the source
This role was published by DevBrother and listed via Djinni. Applications are handled there, not on this site.
Original posting: https://djinni.co/jobs/832470-ai-native-product-manager-institutional-tradi/