AI-Native Product Manager (Institutional Trading and Derivatives

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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:

  1. 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.
  2. 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.
  3. 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.
  • Experience4+ 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.

Required languages

English B2 - Upper Intermediate
Ukrainian B2 - Upper Intermediate
Product Management, Product Roadmap, project management, product backlog management, risk management, analytical skills, English, AI Automation
Published 18 June · Updated 27 July
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56 applications
Response activity: High
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