AI-Native Product Manager (Institutional Trading and Derivatives

DevBrother; Wrocław; On-site; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Flexible hours

Office access in Ukraine

Office access in Poland (Wroclaw)

Medical Insurance (Ukraine)

Multisport (Poland)

Paid vacation

Sick leaves

Official holidays

English classes and mentoring

Development budget

Equipment provided

Corporate culture events

Job summary

DevBrother seeks an exceptional AI-Native Product Manager to own the Institutional Trading & Derivatives suite, blending deep financial domain mastery with cutting-edge AI orchestration. You will own end-to-end lifecycle—from discovery to client rollout—partnering with institutional clients, leveraging MCP integrations, autonomous agents, and SQL analytics to deliver measurable impact.

Flexible hours with offices in Ukraine and Poland (Wroclaw); 4+ years in fintech product management and deep

Qualifications

• English: Upper-Intermediate to Advanced for high-stakes institutional communication.
• 4+ years of software product management experience in fintech, crypto trading platforms, or institutional finance.
• Domain: institutional trading infrastructure, derivatives, risk mechanics, margin, liquidity.
• B2B / client-facing delivery of white-label or enterprise products.
• AI-native mastery: practical use of modern agentic AI tools (MCP, Cursor, Claude Code).
• Data: ability to write SQL queries to measure feature performance and adoption.

Responsibilities

• Take end-to-end ownership of white-label institutional trading, derivatives, and risk infra.
• Leverage autonomous AI agents and MCP servers to automate research, specs, QA, and client delivery.
• Engage with institutional clients and partners to capture complex requirements and drive adoption.
• Drive features through discovery, system spec, engineering alignment, QA, launch and analytics.
• Query data and monitor metrics post-launch to optimize real client usage and performance.
• Collaborate with engineering and business teams to align assumptions and roadmap.

Skills

Product management

AI-native mastery

SQL queries

B2B client-facing

Fintech/domain insight

Institutional trading

Tools

MCP (Model Context Protocol)

Cursor

Claude Code

Job description

We are looking for an exceptional, cutting-edgeAI-Native Product Manager to own our coreInstitutional 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 utilizingMCP (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 inUkraine andPoland (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.